Deck 7: Demand Estimation and Forecasting

ملء الشاشة (f)
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سؤال
a.complements since the coefficient on M is positive.
b.substitutes since the coefficient on M is positive.
c.complements since the coefficient on <strong>a.complements since the coefficient on M is positive. b.substitutes since the coefficient on M is positive. c.complements since the coefficient on   is positive. d.substitutes since the coefficient on   is positive. The estimated demand for a good is   where Q is the quantity demanded of the good,P is the price of the good,M is income,and   is the price of related good R.This good and good R are</strong> A)complements since the coefficient on M is negative. B)substitutes since the coefficient on M is negative. C)complements since the coefficient on   is negative. D)substitutes since the coefficient on   is negative. E)none of the above <div style=padding-top: 35px> is positive.
d.substitutes since the coefficient on <strong>a.complements since the coefficient on M is positive. b.substitutes since the coefficient on M is positive. c.complements since the coefficient on   is positive. d.substitutes since the coefficient on   is positive. The estimated demand for a good is   where Q is the quantity demanded of the good,P is the price of the good,M is income,and   is the price of related good R.This good and good R are</strong> A)complements since the coefficient on M is negative. B)substitutes since the coefficient on M is negative. C)complements since the coefficient on   is negative. D)substitutes since the coefficient on   is negative. E)none of the above <div style=padding-top: 35px> is positive.
The estimated demand for a good is <strong>a.complements since the coefficient on M is positive. b.substitutes since the coefficient on M is positive. c.complements since the coefficient on   is positive. d.substitutes since the coefficient on   is positive. The estimated demand for a good is   where Q is the quantity demanded of the good,P is the price of the good,M is income,and   is the price of related good R.This good and good R are</strong> A)complements since the coefficient on M is negative. B)substitutes since the coefficient on M is negative. C)complements since the coefficient on   is negative. D)substitutes since the coefficient on   is negative. E)none of the above <div style=padding-top: 35px> where Q is the quantity demanded of the good,P is the price of the good,M is income,and <strong>a.complements since the coefficient on M is positive. b.substitutes since the coefficient on M is positive. c.complements since the coefficient on   is positive. d.substitutes since the coefficient on   is positive. The estimated demand for a good is   where Q is the quantity demanded of the good,P is the price of the good,M is income,and   is the price of related good R.This good and good R are</strong> A)complements since the coefficient on M is negative. B)substitutes since the coefficient on M is negative. C)complements since the coefficient on   is negative. D)substitutes since the coefficient on   is negative. E)none of the above <div style=padding-top: 35px> is the price of related good R.This good and good R are

A)complements since the coefficient on M is negative.
B)substitutes since the coefficient on M is negative.
C)complements since the coefficient on <strong>a.complements since the coefficient on M is positive. b.substitutes since the coefficient on M is positive. c.complements since the coefficient on   is positive. d.substitutes since the coefficient on   is positive. The estimated demand for a good is   where Q is the quantity demanded of the good,P is the price of the good,M is income,and   is the price of related good R.This good and good R are</strong> A)complements since the coefficient on M is negative. B)substitutes since the coefficient on M is negative. C)complements since the coefficient on   is negative. D)substitutes since the coefficient on   is negative. E)none of the above <div style=padding-top: 35px> is negative.
D)substitutes since the coefficient on <strong>a.complements since the coefficient on M is positive. b.substitutes since the coefficient on M is positive. c.complements since the coefficient on   is positive. d.substitutes since the coefficient on   is positive. The estimated demand for a good is   where Q is the quantity demanded of the good,P is the price of the good,M is income,and   is the price of related good R.This good and good R are</strong> A)complements since the coefficient on M is negative. B)substitutes since the coefficient on M is negative. C)complements since the coefficient on   is negative. D)substitutes since the coefficient on   is negative. E)none of the above <div style=padding-top: 35px> is negative.
E)none of the above
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سؤال
problem with consumer interviews is that

A)the sample may not be a representative sample.
B)response bias.
C)interviews allow for rapid turnaround.
D)both a and b
E)all of the above
سؤال
If demand is estimated using the empirical specification <strong>If demand is estimated using the empirical specification   ,then an equivalent expression for demand is</strong> A)   . B)   . C)   . D)   . E)none of the above <div style=padding-top: 35px> ,then an equivalent expression for demand is

A) <strong>If demand is estimated using the empirical specification   ,then an equivalent expression for demand is</strong> A)   . B)   . C)   . D)   . E)none of the above <div style=padding-top: 35px> .
B) <strong>If demand is estimated using the empirical specification   ,then an equivalent expression for demand is</strong> A)   . B)   . C)   . D)   . E)none of the above <div style=padding-top: 35px> .
C) <strong>If demand is estimated using the empirical specification   ,then an equivalent expression for demand is</strong> A)   . B)   . C)   . D)   . E)none of the above <div style=padding-top: 35px> .
D) <strong>If demand is estimated using the empirical specification   ,then an equivalent expression for demand is</strong> A)   . B)   . C)   . D)   . E)none of the above <div style=padding-top: 35px> .
E)none of the above
سؤال
estimated demand for a good is <strong>estimated demand for a good is   where Q is the quantity demanded of the good,P is the price of the good,M is income,and   is the price of related good R.The coefficient on P</strong> A)does not have the expected sign. B)is negative as expected. C)should have the same sign as the coefficient on   . D)should not be greater than one in absolute value). E)both b and d <div style=padding-top: 35px> where Q is the quantity demanded of the good,P is the price of the good,M is income,and <strong>estimated demand for a good is   where Q is the quantity demanded of the good,P is the price of the good,M is income,and   is the price of related good R.The coefficient on P</strong> A)does not have the expected sign. B)is negative as expected. C)should have the same sign as the coefficient on   . D)should not be greater than one in absolute value). E)both b and d <div style=padding-top: 35px> is the price of related good R.The coefficient on P

A)does not have the expected sign.
B)is negative as expected.
C)should have the same sign as the coefficient on <strong>estimated demand for a good is   where Q is the quantity demanded of the good,P is the price of the good,M is income,and   is the price of related good R.The coefficient on P</strong> A)does not have the expected sign. B)is negative as expected. C)should have the same sign as the coefficient on   . D)should not be greater than one in absolute value). E)both b and d <div style=padding-top: 35px> .
D)should not be greater than one in absolute value).
E)both b and d
سؤال
a.complements since the coefficient on M is positive.
b.substitutes since the coefficient on M is positive.
c.complements since the coefficient on <strong>a.complements since the coefficient on M is positive. b.substitutes since the coefficient on M is positive. c.complements since the coefficient on   is positive. d.substitutes since the coefficient on   is positive. estimated demand for a good is   where Q is the quantity demanded of the good,P is the price of the good,M is income,and   is the price of related good R.The coefficient on P</strong> A)violates the law of demand. B)is negative as dictated by the law of demand. C)should not be greater than one in absolute value). D)should have the same sign as the coefficient on   . E)both c and d <div style=padding-top: 35px> is positive.
d.substitutes since the coefficient on <strong>a.complements since the coefficient on M is positive. b.substitutes since the coefficient on M is positive. c.complements since the coefficient on   is positive. d.substitutes since the coefficient on   is positive. estimated demand for a good is   where Q is the quantity demanded of the good,P is the price of the good,M is income,and   is the price of related good R.The coefficient on P</strong> A)violates the law of demand. B)is negative as dictated by the law of demand. C)should not be greater than one in absolute value). D)should have the same sign as the coefficient on   . E)both c and d <div style=padding-top: 35px> is positive.
estimated demand for a good is <strong>a.complements since the coefficient on M is positive. b.substitutes since the coefficient on M is positive. c.complements since the coefficient on   is positive. d.substitutes since the coefficient on   is positive. estimated demand for a good is   where Q is the quantity demanded of the good,P is the price of the good,M is income,and   is the price of related good R.The coefficient on P</strong> A)violates the law of demand. B)is negative as dictated by the law of demand. C)should not be greater than one in absolute value). D)should have the same sign as the coefficient on   . E)both c and d <div style=padding-top: 35px> where Q is the quantity demanded of the good,P is the price of the good,M is income,and <strong>a.complements since the coefficient on M is positive. b.substitutes since the coefficient on M is positive. c.complements since the coefficient on   is positive. d.substitutes since the coefficient on   is positive. estimated demand for a good is   where Q is the quantity demanded of the good,P is the price of the good,M is income,and   is the price of related good R.The coefficient on P</strong> A)violates the law of demand. B)is negative as dictated by the law of demand. C)should not be greater than one in absolute value). D)should have the same sign as the coefficient on   . E)both c and d <div style=padding-top: 35px> is the price of related good R.The coefficient on P

A)violates the law of demand.
B)is negative as dictated by the law of demand.
C)should not be greater than one in absolute value).
D)should have the same sign as the coefficient on <strong>a.complements since the coefficient on M is positive. b.substitutes since the coefficient on M is positive. c.complements since the coefficient on   is positive. d.substitutes since the coefficient on   is positive. estimated demand for a good is   where Q is the quantity demanded of the good,P is the price of the good,M is income,and   is the price of related good R.The coefficient on P</strong> A)violates the law of demand. B)is negative as dictated by the law of demand. C)should not be greater than one in absolute value). D)should have the same sign as the coefficient on   . E)both c and d <div style=padding-top: 35px> .
E)both c and d
سؤال
a.complements since the coefficient on M is positive.
b.substitutes since the coefficient on M is positive.
c.complements since the coefficient on <strong>a.complements since the coefficient on M is positive. b.substitutes since the coefficient on M is positive. c.complements since the coefficient on   is positive. d.substitutes since the coefficient on   is positive. The estimated demand for a good is   where Q is the quantity demanded of the good,P is the price of the good,M is income,and   is the price of related good R.If the price of the good rises by $10,all else constant,the quantity demanded will ________ by ________ units.</strong> A)increase; 16 units B)decrease; 160 units C)decrease; 1.5 units D)increase; 150 units <div style=padding-top: 35px> is positive.
d.substitutes since the coefficient on <strong>a.complements since the coefficient on M is positive. b.substitutes since the coefficient on M is positive. c.complements since the coefficient on   is positive. d.substitutes since the coefficient on   is positive. The estimated demand for a good is   where Q is the quantity demanded of the good,P is the price of the good,M is income,and   is the price of related good R.If the price of the good rises by $10,all else constant,the quantity demanded will ________ by ________ units.</strong> A)increase; 16 units B)decrease; 160 units C)decrease; 1.5 units D)increase; 150 units <div style=padding-top: 35px> is positive.
The estimated demand for a good is <strong>a.complements since the coefficient on M is positive. b.substitutes since the coefficient on M is positive. c.complements since the coefficient on   is positive. d.substitutes since the coefficient on   is positive. The estimated demand for a good is   where Q is the quantity demanded of the good,P is the price of the good,M is income,and   is the price of related good R.If the price of the good rises by $10,all else constant,the quantity demanded will ________ by ________ units.</strong> A)increase; 16 units B)decrease; 160 units C)decrease; 1.5 units D)increase; 150 units <div style=padding-top: 35px> where Q is the quantity demanded of the good,P is the price of the good,M is income,and <strong>a.complements since the coefficient on M is positive. b.substitutes since the coefficient on M is positive. c.complements since the coefficient on   is positive. d.substitutes since the coefficient on   is positive. The estimated demand for a good is   where Q is the quantity demanded of the good,P is the price of the good,M is income,and   is the price of related good R.If the price of the good rises by $10,all else constant,the quantity demanded will ________ by ________ units.</strong> A)increase; 16 units B)decrease; 160 units C)decrease; 1.5 units D)increase; 150 units <div style=padding-top: 35px> is the price of related good R.If the price of the good rises by $10,all else constant,the quantity demanded will ________ by ________ units.

A)increase; 16 units
B)decrease; 160 units
C)decrease; 1.5 units
D)increase; 150 units
سؤال
Build-Right Concrete Products produces specialty cement used in construction of highways.Build-Right is a price-setting firm and estimates the demand for its cement by the State Highway Department using a demand function in the nonlinear form: <strong>Build-Right Concrete Products produces specialty cement used in construction of highways.Build-Right is a price-setting firm and estimates the demand for its cement by the State Highway Department using a demand function in the nonlinear form:   where Q = yards of cement demanded monthly,P = the price of Build-Right's cement per yard,M = state tax revenues per capita,and   = the price of asphalt per yard.The manager at Build-Right transforms the nonlinear relation into a linear relation for estimation.The estimation results are presented below:   Given the above,the estimated demand for cement is</strong> A)elastic because   = -4.0. B)elastic because   = -2.0. C)elastic because   = -1.5. D)inelastic because   = -0.32. E)inelastic because   = -0.8. <div style=padding-top: 35px> where Q = yards of cement demanded monthly,P = the price of Build-Right's cement per yard,M = state tax revenues per capita,and <strong>Build-Right Concrete Products produces specialty cement used in construction of highways.Build-Right is a price-setting firm and estimates the demand for its cement by the State Highway Department using a demand function in the nonlinear form:   where Q = yards of cement demanded monthly,P = the price of Build-Right's cement per yard,M = state tax revenues per capita,and   = the price of asphalt per yard.The manager at Build-Right transforms the nonlinear relation into a linear relation for estimation.The estimation results are presented below:   Given the above,the estimated demand for cement is</strong> A)elastic because   = -4.0. B)elastic because   = -2.0. C)elastic because   = -1.5. D)inelastic because   = -0.32. E)inelastic because   = -0.8. <div style=padding-top: 35px> = the price of asphalt per yard.The manager at Build-Right transforms the nonlinear relation into a linear relation for estimation.The estimation results are presented below: <strong>Build-Right Concrete Products produces specialty cement used in construction of highways.Build-Right is a price-setting firm and estimates the demand for its cement by the State Highway Department using a demand function in the nonlinear form:   where Q = yards of cement demanded monthly,P = the price of Build-Right's cement per yard,M = state tax revenues per capita,and   = the price of asphalt per yard.The manager at Build-Right transforms the nonlinear relation into a linear relation for estimation.The estimation results are presented below:   Given the above,the estimated demand for cement is</strong> A)elastic because   = -4.0. B)elastic because   = -2.0. C)elastic because   = -1.5. D)inelastic because   = -0.32. E)inelastic because   = -0.8. <div style=padding-top: 35px> Given the above,the estimated demand for cement is

A)elastic because <strong>Build-Right Concrete Products produces specialty cement used in construction of highways.Build-Right is a price-setting firm and estimates the demand for its cement by the State Highway Department using a demand function in the nonlinear form:   where Q = yards of cement demanded monthly,P = the price of Build-Right's cement per yard,M = state tax revenues per capita,and   = the price of asphalt per yard.The manager at Build-Right transforms the nonlinear relation into a linear relation for estimation.The estimation results are presented below:   Given the above,the estimated demand for cement is</strong> A)elastic because   = -4.0. B)elastic because   = -2.0. C)elastic because   = -1.5. D)inelastic because   = -0.32. E)inelastic because   = -0.8. <div style=padding-top: 35px> = -4.0.
B)elastic because <strong>Build-Right Concrete Products produces specialty cement used in construction of highways.Build-Right is a price-setting firm and estimates the demand for its cement by the State Highway Department using a demand function in the nonlinear form:   where Q = yards of cement demanded monthly,P = the price of Build-Right's cement per yard,M = state tax revenues per capita,and   = the price of asphalt per yard.The manager at Build-Right transforms the nonlinear relation into a linear relation for estimation.The estimation results are presented below:   Given the above,the estimated demand for cement is</strong> A)elastic because   = -4.0. B)elastic because   = -2.0. C)elastic because   = -1.5. D)inelastic because   = -0.32. E)inelastic because   = -0.8. <div style=padding-top: 35px> = -2.0.
C)elastic because <strong>Build-Right Concrete Products produces specialty cement used in construction of highways.Build-Right is a price-setting firm and estimates the demand for its cement by the State Highway Department using a demand function in the nonlinear form:   where Q = yards of cement demanded monthly,P = the price of Build-Right's cement per yard,M = state tax revenues per capita,and   = the price of asphalt per yard.The manager at Build-Right transforms the nonlinear relation into a linear relation for estimation.The estimation results are presented below:   Given the above,the estimated demand for cement is</strong> A)elastic because   = -4.0. B)elastic because   = -2.0. C)elastic because   = -1.5. D)inelastic because   = -0.32. E)inelastic because   = -0.8. <div style=padding-top: 35px> = -1.5.
D)inelastic because <strong>Build-Right Concrete Products produces specialty cement used in construction of highways.Build-Right is a price-setting firm and estimates the demand for its cement by the State Highway Department using a demand function in the nonlinear form:   where Q = yards of cement demanded monthly,P = the price of Build-Right's cement per yard,M = state tax revenues per capita,and   = the price of asphalt per yard.The manager at Build-Right transforms the nonlinear relation into a linear relation for estimation.The estimation results are presented below:   Given the above,the estimated demand for cement is</strong> A)elastic because   = -4.0. B)elastic because   = -2.0. C)elastic because   = -1.5. D)inelastic because   = -0.32. E)inelastic because   = -0.8. <div style=padding-top: 35px> = -0.32.
E)inelastic because <strong>Build-Right Concrete Products produces specialty cement used in construction of highways.Build-Right is a price-setting firm and estimates the demand for its cement by the State Highway Department using a demand function in the nonlinear form:   where Q = yards of cement demanded monthly,P = the price of Build-Right's cement per yard,M = state tax revenues per capita,and   = the price of asphalt per yard.The manager at Build-Right transforms the nonlinear relation into a linear relation for estimation.The estimation results are presented below:   Given the above,the estimated demand for cement is</strong> A)elastic because   = -4.0. B)elastic because   = -2.0. C)elastic because   = -1.5. D)inelastic because   = -0.32. E)inelastic because   = -0.8. <div style=padding-top: 35px> = -0.8.
سؤال
a.complements since the coefficient on M is positive.
b.substitutes since the coefficient on M is positive.
c.complements since the coefficient on <strong>a.complements since the coefficient on M is positive. b.substitutes since the coefficient on M is positive. c.complements since the coefficient on   is positive. d.substitutes since the coefficient on   is positive. estimated demand for a good is   where Q is the quantity demanded of the good,P is the price of the good,M is income,and   is the price of related good R.If income decreases by $1,000,all else constant,quantity demanded will ________ by _________ units.</strong> A)decrease; 320 units B)increase; 3.2 units C)decrease; 1200 units D)increase; 500 units E)decrease; 500 units <div style=padding-top: 35px> is positive.
d.substitutes since the coefficient on <strong>a.complements since the coefficient on M is positive. b.substitutes since the coefficient on M is positive. c.complements since the coefficient on   is positive. d.substitutes since the coefficient on   is positive. estimated demand for a good is   where Q is the quantity demanded of the good,P is the price of the good,M is income,and   is the price of related good R.If income decreases by $1,000,all else constant,quantity demanded will ________ by _________ units.</strong> A)decrease; 320 units B)increase; 3.2 units C)decrease; 1200 units D)increase; 500 units E)decrease; 500 units <div style=padding-top: 35px> is positive.
estimated demand for a good is <strong>a.complements since the coefficient on M is positive. b.substitutes since the coefficient on M is positive. c.complements since the coefficient on   is positive. d.substitutes since the coefficient on   is positive. estimated demand for a good is   where Q is the quantity demanded of the good,P is the price of the good,M is income,and   is the price of related good R.If income decreases by $1,000,all else constant,quantity demanded will ________ by _________ units.</strong> A)decrease; 320 units B)increase; 3.2 units C)decrease; 1200 units D)increase; 500 units E)decrease; 500 units <div style=padding-top: 35px> where Q is the quantity demanded of the good,P is the price of the good,M is income,and <strong>a.complements since the coefficient on M is positive. b.substitutes since the coefficient on M is positive. c.complements since the coefficient on   is positive. d.substitutes since the coefficient on   is positive. estimated demand for a good is   where Q is the quantity demanded of the good,P is the price of the good,M is income,and   is the price of related good R.If income decreases by $1,000,all else constant,quantity demanded will ________ by _________ units.</strong> A)decrease; 320 units B)increase; 3.2 units C)decrease; 1200 units D)increase; 500 units E)decrease; 500 units <div style=padding-top: 35px> is the price of related good R.If income decreases by $1,000,all else constant,quantity demanded will ________ by _________ units.

A)decrease; 320 units
B)increase; 3.2 units
C)decrease; 1200 units
D)increase; 500 units
E)decrease; 500 units
سؤال
Build-Right Concrete Products produces specialty cement used in construction of highways.Build-Right is a price-setting firm and estimates the demand for its cement by the State Highway Department using a demand function in the nonlinear form: <strong>Build-Right Concrete Products produces specialty cement used in construction of highways.Build-Right is a price-setting firm and estimates the demand for its cement by the State Highway Department using a demand function in the nonlinear form:   where Q = yards of cement demanded monthly,P = the price of Build-Right's cement per yard,M = state tax revenues per capita,and   = the price of asphalt per yard.The manager at Build-Right transforms the nonlinear relation into a linear relation for estimation.The estimation results are presented below:   Given the above,the estimated cross-price elasticity of demand for cement relative to the price of asphalt is</strong> A)0.3 B)0.6 C)1.2 D)3.0 E)none of the above <div style=padding-top: 35px> where Q = yards of cement demanded monthly,P = the price of Build-Right's cement per yard,M = state tax revenues per capita,and <strong>Build-Right Concrete Products produces specialty cement used in construction of highways.Build-Right is a price-setting firm and estimates the demand for its cement by the State Highway Department using a demand function in the nonlinear form:   where Q = yards of cement demanded monthly,P = the price of Build-Right's cement per yard,M = state tax revenues per capita,and   = the price of asphalt per yard.The manager at Build-Right transforms the nonlinear relation into a linear relation for estimation.The estimation results are presented below:   Given the above,the estimated cross-price elasticity of demand for cement relative to the price of asphalt is</strong> A)0.3 B)0.6 C)1.2 D)3.0 E)none of the above <div style=padding-top: 35px> = the price of asphalt per yard.The manager at Build-Right transforms the nonlinear relation into a linear relation for estimation.The estimation results are presented below: <strong>Build-Right Concrete Products produces specialty cement used in construction of highways.Build-Right is a price-setting firm and estimates the demand for its cement by the State Highway Department using a demand function in the nonlinear form:   where Q = yards of cement demanded monthly,P = the price of Build-Right's cement per yard,M = state tax revenues per capita,and   = the price of asphalt per yard.The manager at Build-Right transforms the nonlinear relation into a linear relation for estimation.The estimation results are presented below:   Given the above,the estimated cross-price elasticity of demand for cement relative to the price of asphalt is</strong> A)0.3 B)0.6 C)1.2 D)3.0 E)none of the above <div style=padding-top: 35px> Given the above,the estimated cross-price elasticity of demand for cement relative to the price of asphalt is

A)0.3
B)0.6
C)1.2
D)3.0
E)none of the above
سؤال
a.complements since the coefficient on M is positive.
b.substitutes since the coefficient on M is positive.
c.complements since the coefficient on <strong>a.complements since the coefficient on M is positive. b.substitutes since the coefficient on M is positive. c.complements since the coefficient on   is positive. d.substitutes since the coefficient on   is positive. The estimated demand for a good is   where Q is the quantity demanded of the good,P is the price of the good,M is income,and   is the price of related good R.The good is</strong> A)an inferior good since the coefficient on   is negative. B)a normal good since the coefficient on   is negative. C)a normal good since the coefficient on M is greater than one in absolute value). D)an inferior good since the coefficient on M is negative. E)none of the above <div style=padding-top: 35px> is positive.
d.substitutes since the coefficient on <strong>a.complements since the coefficient on M is positive. b.substitutes since the coefficient on M is positive. c.complements since the coefficient on   is positive. d.substitutes since the coefficient on   is positive. The estimated demand for a good is   where Q is the quantity demanded of the good,P is the price of the good,M is income,and   is the price of related good R.The good is</strong> A)an inferior good since the coefficient on   is negative. B)a normal good since the coefficient on   is negative. C)a normal good since the coefficient on M is greater than one in absolute value). D)an inferior good since the coefficient on M is negative. E)none of the above <div style=padding-top: 35px> is positive.
The estimated demand for a good is <strong>a.complements since the coefficient on M is positive. b.substitutes since the coefficient on M is positive. c.complements since the coefficient on   is positive. d.substitutes since the coefficient on   is positive. The estimated demand for a good is   where Q is the quantity demanded of the good,P is the price of the good,M is income,and   is the price of related good R.The good is</strong> A)an inferior good since the coefficient on   is negative. B)a normal good since the coefficient on   is negative. C)a normal good since the coefficient on M is greater than one in absolute value). D)an inferior good since the coefficient on M is negative. E)none of the above <div style=padding-top: 35px> where Q is the quantity demanded of the good,P is the price of the good,M is income,and <strong>a.complements since the coefficient on M is positive. b.substitutes since the coefficient on M is positive. c.complements since the coefficient on   is positive. d.substitutes since the coefficient on   is positive. The estimated demand for a good is   where Q is the quantity demanded of the good,P is the price of the good,M is income,and   is the price of related good R.The good is</strong> A)an inferior good since the coefficient on   is negative. B)a normal good since the coefficient on   is negative. C)a normal good since the coefficient on M is greater than one in absolute value). D)an inferior good since the coefficient on M is negative. E)none of the above <div style=padding-top: 35px> is the price of related good R.The good is

A)an inferior good since the coefficient on <strong>a.complements since the coefficient on M is positive. b.substitutes since the coefficient on M is positive. c.complements since the coefficient on   is positive. d.substitutes since the coefficient on   is positive. The estimated demand for a good is   where Q is the quantity demanded of the good,P is the price of the good,M is income,and   is the price of related good R.The good is</strong> A)an inferior good since the coefficient on   is negative. B)a normal good since the coefficient on   is negative. C)a normal good since the coefficient on M is greater than one in absolute value). D)an inferior good since the coefficient on M is negative. E)none of the above <div style=padding-top: 35px> is negative.
B)a normal good since the coefficient on <strong>a.complements since the coefficient on M is positive. b.substitutes since the coefficient on M is positive. c.complements since the coefficient on   is positive. d.substitutes since the coefficient on   is positive. The estimated demand for a good is   where Q is the quantity demanded of the good,P is the price of the good,M is income,and   is the price of related good R.The good is</strong> A)an inferior good since the coefficient on   is negative. B)a normal good since the coefficient on   is negative. C)a normal good since the coefficient on M is greater than one in absolute value). D)an inferior good since the coefficient on M is negative. E)none of the above <div style=padding-top: 35px> is negative.
C)a normal good since the coefficient on M is greater than one in absolute value).
D)an inferior good since the coefficient on M is negative.
E)none of the above
سؤال
Possible problems with consumer interviews include:

A)a non-random sample
B)the identification problem
C)response bias
D)both a and b
E)both a and c
سؤال
estimated demand for a good is <strong>estimated demand for a good is   where Q is the quantity demanded of the good,P is the price of the good,M is income,and   is the price of related good R.The good is</strong> A)an inferior good since the coefficient on   is positive. B)a normal good since the coefficient on   is positive. C)an inferior good since the coefficient on M is greater than one. D)a normal good since the coefficient on M is positive. E)none of the above <div style=padding-top: 35px> where Q is the quantity demanded of the good,P is the price of the good,M is income,and <strong>estimated demand for a good is   where Q is the quantity demanded of the good,P is the price of the good,M is income,and   is the price of related good R.The good is</strong> A)an inferior good since the coefficient on   is positive. B)a normal good since the coefficient on   is positive. C)an inferior good since the coefficient on M is greater than one. D)a normal good since the coefficient on M is positive. E)none of the above <div style=padding-top: 35px> is the price of related good R.The good is

A)an inferior good since the coefficient on <strong>estimated demand for a good is   where Q is the quantity demanded of the good,P is the price of the good,M is income,and   is the price of related good R.The good is</strong> A)an inferior good since the coefficient on   is positive. B)a normal good since the coefficient on   is positive. C)an inferior good since the coefficient on M is greater than one. D)a normal good since the coefficient on M is positive. E)none of the above <div style=padding-top: 35px> is positive.
B)a normal good since the coefficient on <strong>estimated demand for a good is   where Q is the quantity demanded of the good,P is the price of the good,M is income,and   is the price of related good R.The good is</strong> A)an inferior good since the coefficient on   is positive. B)a normal good since the coefficient on   is positive. C)an inferior good since the coefficient on M is greater than one. D)a normal good since the coefficient on M is positive. E)none of the above <div style=padding-top: 35px> is positive.
C)an inferior good since the coefficient on M is greater than one.
D)a normal good since the coefficient on M is positive.
E)none of the above
سؤال
estimated demand for a good is estimated demand for a good is   where Q is the quantity demanded of the good,P is the price of the good,M is income,and   is the price of related good R.This good and the related good R are<div style=padding-top: 35px> where Q is the quantity demanded of the good,P is the price of the good,M is income,and estimated demand for a good is   where Q is the quantity demanded of the good,P is the price of the good,M is income,and   is the price of related good R.This good and the related good R are<div style=padding-top: 35px> is the price of related good R.This good and the related good R are
سؤال
Demand equations derived from actual market data are

A)empirical demand functions.
B)never estimated using consumer interviews.
C)generally estimated using regression analysis.
D)both a and c
E)all of the above
سؤال
Build-Right Concrete Products produces specialty cement used in construction of highways.Build-Right is a price-setting firm and estimates the demand for its cement by the State Highway Department using a demand function in the nonlinear form: <strong>Build-Right Concrete Products produces specialty cement used in construction of highways.Build-Right is a price-setting firm and estimates the demand for its cement by the State Highway Department using a demand function in the nonlinear form:   where Q = yards of cement demanded monthly,P = the price of Build-Right's cement per yard,M = state tax revenues per capita,and   = the price of asphalt per yard.The manager at Build-Right transforms the nonlinear relation into a linear relation for estimation.The estimation results are presented below:   Given the above,if the price of asphalt   )decreases 20%,the estimated quantity of cement demanded will:</strong> A)increase 12% B)increase 6% C)increase 1.2% D)decrease 12%. E)decrease 1.2%. <div style=padding-top: 35px> where Q = yards of cement demanded monthly,P = the price of Build-Right's cement per yard,M = state tax revenues per capita,and <strong>Build-Right Concrete Products produces specialty cement used in construction of highways.Build-Right is a price-setting firm and estimates the demand for its cement by the State Highway Department using a demand function in the nonlinear form:   where Q = yards of cement demanded monthly,P = the price of Build-Right's cement per yard,M = state tax revenues per capita,and   = the price of asphalt per yard.The manager at Build-Right transforms the nonlinear relation into a linear relation for estimation.The estimation results are presented below:   Given the above,if the price of asphalt   )decreases 20%,the estimated quantity of cement demanded will:</strong> A)increase 12% B)increase 6% C)increase 1.2% D)decrease 12%. E)decrease 1.2%. <div style=padding-top: 35px> = the price of asphalt per yard.The manager at Build-Right transforms the nonlinear relation into a linear relation for estimation.The estimation results are presented below: <strong>Build-Right Concrete Products produces specialty cement used in construction of highways.Build-Right is a price-setting firm and estimates the demand for its cement by the State Highway Department using a demand function in the nonlinear form:   where Q = yards of cement demanded monthly,P = the price of Build-Right's cement per yard,M = state tax revenues per capita,and   = the price of asphalt per yard.The manager at Build-Right transforms the nonlinear relation into a linear relation for estimation.The estimation results are presented below:   Given the above,if the price of asphalt   )decreases 20%,the estimated quantity of cement demanded will:</strong> A)increase 12% B)increase 6% C)increase 1.2% D)decrease 12%. E)decrease 1.2%. <div style=padding-top: 35px> Given the above,if the price of asphalt <strong>Build-Right Concrete Products produces specialty cement used in construction of highways.Build-Right is a price-setting firm and estimates the demand for its cement by the State Highway Department using a demand function in the nonlinear form:   where Q = yards of cement demanded monthly,P = the price of Build-Right's cement per yard,M = state tax revenues per capita,and   = the price of asphalt per yard.The manager at Build-Right transforms the nonlinear relation into a linear relation for estimation.The estimation results are presented below:   Given the above,if the price of asphalt   )decreases 20%,the estimated quantity of cement demanded will:</strong> A)increase 12% B)increase 6% C)increase 1.2% D)decrease 12%. E)decrease 1.2%. <div style=padding-top: 35px> )decreases 20%,the estimated quantity of cement demanded will:

A)increase 12%
B)increase 6%
C)increase 1.2%
D)decrease 12%.
E)decrease 1.2%.
سؤال
representative sample

A)eliminates the problem of response bias.
B)reflects the characteristics of the population.
C)is frequently a random sample.
D)both b and c
E)all of the above
سؤال
a.complements since the coefficient on M is positive.
b.substitutes since the coefficient on M is positive.
c.complements since the coefficient on <strong>a.complements since the coefficient on M is positive. b.substitutes since the coefficient on M is positive. c.complements since the coefficient on   is positive. d.substitutes since the coefficient on   is positive. estimated demand for a good is   where Q is the quantity demanded of the good,P is the price of the good,M is income,and   is the price of related good R.If the price of the good falls by $4,the quantity demanded will ________ by ________ units.</strong> A)increase; 5 units B)increase; 20 units C)increase; 50 units D)increase; 48 units E)decrease; 12 units <div style=padding-top: 35px> is positive.
d.substitutes since the coefficient on <strong>a.complements since the coefficient on M is positive. b.substitutes since the coefficient on M is positive. c.complements since the coefficient on   is positive. d.substitutes since the coefficient on   is positive. estimated demand for a good is   where Q is the quantity demanded of the good,P is the price of the good,M is income,and   is the price of related good R.If the price of the good falls by $4,the quantity demanded will ________ by ________ units.</strong> A)increase; 5 units B)increase; 20 units C)increase; 50 units D)increase; 48 units E)decrease; 12 units <div style=padding-top: 35px> is positive.
estimated demand for a good is <strong>a.complements since the coefficient on M is positive. b.substitutes since the coefficient on M is positive. c.complements since the coefficient on   is positive. d.substitutes since the coefficient on   is positive. estimated demand for a good is   where Q is the quantity demanded of the good,P is the price of the good,M is income,and   is the price of related good R.If the price of the good falls by $4,the quantity demanded will ________ by ________ units.</strong> A)increase; 5 units B)increase; 20 units C)increase; 50 units D)increase; 48 units E)decrease; 12 units <div style=padding-top: 35px> where Q is the quantity demanded of the good,P is the price of the good,M is income,and <strong>a.complements since the coefficient on M is positive. b.substitutes since the coefficient on M is positive. c.complements since the coefficient on   is positive. d.substitutes since the coefficient on   is positive. estimated demand for a good is   where Q is the quantity demanded of the good,P is the price of the good,M is income,and   is the price of related good R.If the price of the good falls by $4,the quantity demanded will ________ by ________ units.</strong> A)increase; 5 units B)increase; 20 units C)increase; 50 units D)increase; 48 units E)decrease; 12 units <div style=padding-top: 35px> is the price of related good R.If the price of the good falls by $4,the quantity demanded will ________ by ________ units.

A)increase; 5 units
B)increase; 20 units
C)increase; 50 units
D)increase; 48 units
E)decrease; 12 units
سؤال
a.complements since the coefficient on M is positive.
b.substitutes since the coefficient on M is positive.
c.complements since the coefficient on <strong>a.complements since the coefficient on M is positive. b.substitutes since the coefficient on M is positive. c.complements since the coefficient on   is positive. d.substitutes since the coefficient on   is positive. The estimated demand for a good is   where Q is the quantity demanded of the good,P is the price of the good,M is income,and   is the price of related good R.If income decreases by $2,000,all else constant,quantity demanded will ________ by _________ units.</strong> A)increase; 1.30 units B)decrease; 6.5 units C)increase; 1,300 units D)decrease; 65 units <div style=padding-top: 35px> is positive.
d.substitutes since the coefficient on <strong>a.complements since the coefficient on M is positive. b.substitutes since the coefficient on M is positive. c.complements since the coefficient on   is positive. d.substitutes since the coefficient on   is positive. The estimated demand for a good is   where Q is the quantity demanded of the good,P is the price of the good,M is income,and   is the price of related good R.If income decreases by $2,000,all else constant,quantity demanded will ________ by _________ units.</strong> A)increase; 1.30 units B)decrease; 6.5 units C)increase; 1,300 units D)decrease; 65 units <div style=padding-top: 35px> is positive.
The estimated demand for a good is <strong>a.complements since the coefficient on M is positive. b.substitutes since the coefficient on M is positive. c.complements since the coefficient on   is positive. d.substitutes since the coefficient on   is positive. The estimated demand for a good is   where Q is the quantity demanded of the good,P is the price of the good,M is income,and   is the price of related good R.If income decreases by $2,000,all else constant,quantity demanded will ________ by _________ units.</strong> A)increase; 1.30 units B)decrease; 6.5 units C)increase; 1,300 units D)decrease; 65 units <div style=padding-top: 35px> where Q is the quantity demanded of the good,P is the price of the good,M is income,and <strong>a.complements since the coefficient on M is positive. b.substitutes since the coefficient on M is positive. c.complements since the coefficient on   is positive. d.substitutes since the coefficient on   is positive. The estimated demand for a good is   where Q is the quantity demanded of the good,P is the price of the good,M is income,and   is the price of related good R.If income decreases by $2,000,all else constant,quantity demanded will ________ by _________ units.</strong> A)increase; 1.30 units B)decrease; 6.5 units C)increase; 1,300 units D)decrease; 65 units <div style=padding-top: 35px> is the price of related good R.If income decreases by $2,000,all else constant,quantity demanded will ________ by _________ units.

A)increase; 1.30 units
B)decrease; 6.5 units
C)increase; 1,300 units
D)decrease; 65 units
سؤال
Build-Right Concrete Products produces specialty cement used in construction of highways.Build-Right is a price-setting firm and estimates the demand for its cement by the State Highway Department using a demand function in the nonlinear form: <strong>Build-Right Concrete Products produces specialty cement used in construction of highways.Build-Right is a price-setting firm and estimates the demand for its cement by the State Highway Department using a demand function in the nonlinear form:   where Q = yards of cement demanded monthly,P = the price of Build-Right's cement per yard,M = state tax revenues per capita,and   = the price of asphalt per yard.The manager at Build-Right transforms the nonlinear relation into a linear relation for estimation.The estimation results are presented below:   Given the above,if tax revenue per capita M)increases 5%,the estimated quantity of cement demanded will</strong> A)increase by less than 1%. B)increase more than 1% but less than 5%. C)increase more than 5% but less than 10%. D)increase more than 10%. <div style=padding-top: 35px> where Q = yards of cement demanded monthly,P = the price of Build-Right's cement per yard,M = state tax revenues per capita,and <strong>Build-Right Concrete Products produces specialty cement used in construction of highways.Build-Right is a price-setting firm and estimates the demand for its cement by the State Highway Department using a demand function in the nonlinear form:   where Q = yards of cement demanded monthly,P = the price of Build-Right's cement per yard,M = state tax revenues per capita,and   = the price of asphalt per yard.The manager at Build-Right transforms the nonlinear relation into a linear relation for estimation.The estimation results are presented below:   Given the above,if tax revenue per capita M)increases 5%,the estimated quantity of cement demanded will</strong> A)increase by less than 1%. B)increase more than 1% but less than 5%. C)increase more than 5% but less than 10%. D)increase more than 10%. <div style=padding-top: 35px> = the price of asphalt per yard.The manager at Build-Right transforms the nonlinear relation into a linear relation for estimation.The estimation results are presented below: <strong>Build-Right Concrete Products produces specialty cement used in construction of highways.Build-Right is a price-setting firm and estimates the demand for its cement by the State Highway Department using a demand function in the nonlinear form:   where Q = yards of cement demanded monthly,P = the price of Build-Right's cement per yard,M = state tax revenues per capita,and   = the price of asphalt per yard.The manager at Build-Right transforms the nonlinear relation into a linear relation for estimation.The estimation results are presented below:   Given the above,if tax revenue per capita M)increases 5%,the estimated quantity of cement demanded will</strong> A)increase by less than 1%. B)increase more than 1% but less than 5%. C)increase more than 5% but less than 10%. D)increase more than 10%. <div style=padding-top: 35px> Given the above,if tax revenue per capita M)increases 5%,the estimated quantity of cement demanded will

A)increase by less than 1%.
B)increase more than 1% but less than 5%.
C)increase more than 5% but less than 10%.
D)increase more than 10%.
سؤال
Build-Right Concrete Products produces specialty cement used in construction of highways.Build-Right is a price-setting firm and estimates the demand for its cement by the State Highway Department using a demand function in the nonlinear form: <strong>Build-Right Concrete Products produces specialty cement used in construction of highways.Build-Right is a price-setting firm and estimates the demand for its cement by the State Highway Department using a demand function in the nonlinear form:   where Q = yards of cement demanded monthly,P = the price of Build-Right's cement per yard,M = state tax revenues per capita,and   = the price of asphalt per yard.The manager at Build-Right transforms the nonlinear relation into a linear relation for estimation.The estimation results are presented below:   Given the above,at the 1 percent level of significance,the number of degrees of freedom for a t-test is _____,and the critical value of the t-statistic is ________.0Only parameter estimates)________ is are)NOT statistically significant at the 1 percent level of significance.</strong> A)30; 2.457;   B)30; 2.750;   C)34; 2.042;   D)34; 2.042,   and   <div style=padding-top: 35px> where Q = yards of cement demanded monthly,P = the price of Build-Right's cement per yard,M = state tax revenues per capita,and <strong>Build-Right Concrete Products produces specialty cement used in construction of highways.Build-Right is a price-setting firm and estimates the demand for its cement by the State Highway Department using a demand function in the nonlinear form:   where Q = yards of cement demanded monthly,P = the price of Build-Right's cement per yard,M = state tax revenues per capita,and   = the price of asphalt per yard.The manager at Build-Right transforms the nonlinear relation into a linear relation for estimation.The estimation results are presented below:   Given the above,at the 1 percent level of significance,the number of degrees of freedom for a t-test is _____,and the critical value of the t-statistic is ________.0Only parameter estimates)________ is are)NOT statistically significant at the 1 percent level of significance.</strong> A)30; 2.457;   B)30; 2.750;   C)34; 2.042;   D)34; 2.042,   and   <div style=padding-top: 35px> = the price of asphalt per yard.The manager at Build-Right transforms the nonlinear relation into a linear relation for estimation.The estimation results are presented below: <strong>Build-Right Concrete Products produces specialty cement used in construction of highways.Build-Right is a price-setting firm and estimates the demand for its cement by the State Highway Department using a demand function in the nonlinear form:   where Q = yards of cement demanded monthly,P = the price of Build-Right's cement per yard,M = state tax revenues per capita,and   = the price of asphalt per yard.The manager at Build-Right transforms the nonlinear relation into a linear relation for estimation.The estimation results are presented below:   Given the above,at the 1 percent level of significance,the number of degrees of freedom for a t-test is _____,and the critical value of the t-statistic is ________.0Only parameter estimates)________ is are)NOT statistically significant at the 1 percent level of significance.</strong> A)30; 2.457;   B)30; 2.750;   C)34; 2.042;   D)34; 2.042,   and   <div style=padding-top: 35px> Given the above,at the 1 percent level of significance,the number of degrees of freedom for a t-test is _____,and the critical value of the t-statistic is ________.0Only parameter estimates)________ is are)NOT statistically significant at the 1 percent level of significance.

A)30; 2.457; <strong>Build-Right Concrete Products produces specialty cement used in construction of highways.Build-Right is a price-setting firm and estimates the demand for its cement by the State Highway Department using a demand function in the nonlinear form:   where Q = yards of cement demanded monthly,P = the price of Build-Right's cement per yard,M = state tax revenues per capita,and   = the price of asphalt per yard.The manager at Build-Right transforms the nonlinear relation into a linear relation for estimation.The estimation results are presented below:   Given the above,at the 1 percent level of significance,the number of degrees of freedom for a t-test is _____,and the critical value of the t-statistic is ________.0Only parameter estimates)________ is are)NOT statistically significant at the 1 percent level of significance.</strong> A)30; 2.457;   B)30; 2.750;   C)34; 2.042;   D)34; 2.042,   and   <div style=padding-top: 35px>
B)30; 2.750; <strong>Build-Right Concrete Products produces specialty cement used in construction of highways.Build-Right is a price-setting firm and estimates the demand for its cement by the State Highway Department using a demand function in the nonlinear form:   where Q = yards of cement demanded monthly,P = the price of Build-Right's cement per yard,M = state tax revenues per capita,and   = the price of asphalt per yard.The manager at Build-Right transforms the nonlinear relation into a linear relation for estimation.The estimation results are presented below:   Given the above,at the 1 percent level of significance,the number of degrees of freedom for a t-test is _____,and the critical value of the t-statistic is ________.0Only parameter estimates)________ is are)NOT statistically significant at the 1 percent level of significance.</strong> A)30; 2.457;   B)30; 2.750;   C)34; 2.042;   D)34; 2.042,   and   <div style=padding-top: 35px>
C)34; 2.042; <strong>Build-Right Concrete Products produces specialty cement used in construction of highways.Build-Right is a price-setting firm and estimates the demand for its cement by the State Highway Department using a demand function in the nonlinear form:   where Q = yards of cement demanded monthly,P = the price of Build-Right's cement per yard,M = state tax revenues per capita,and   = the price of asphalt per yard.The manager at Build-Right transforms the nonlinear relation into a linear relation for estimation.The estimation results are presented below:   Given the above,at the 1 percent level of significance,the number of degrees of freedom for a t-test is _____,and the critical value of the t-statistic is ________.0Only parameter estimates)________ is are)NOT statistically significant at the 1 percent level of significance.</strong> A)30; 2.457;   B)30; 2.750;   C)34; 2.042;   D)34; 2.042,   and   <div style=padding-top: 35px>
D)34; 2.042, <strong>Build-Right Concrete Products produces specialty cement used in construction of highways.Build-Right is a price-setting firm and estimates the demand for its cement by the State Highway Department using a demand function in the nonlinear form:   where Q = yards of cement demanded monthly,P = the price of Build-Right's cement per yard,M = state tax revenues per capita,and   = the price of asphalt per yard.The manager at Build-Right transforms the nonlinear relation into a linear relation for estimation.The estimation results are presented below:   Given the above,at the 1 percent level of significance,the number of degrees of freedom for a t-test is _____,and the critical value of the t-statistic is ________.0Only parameter estimates)________ is are)NOT statistically significant at the 1 percent level of significance.</strong> A)30; 2.457;   B)30; 2.750;   C)34; 2.042;   D)34; 2.042,   and   <div style=padding-top: 35px> and
<strong>Build-Right Concrete Products produces specialty cement used in construction of highways.Build-Right is a price-setting firm and estimates the demand for its cement by the State Highway Department using a demand function in the nonlinear form:   where Q = yards of cement demanded monthly,P = the price of Build-Right's cement per yard,M = state tax revenues per capita,and   = the price of asphalt per yard.The manager at Build-Right transforms the nonlinear relation into a linear relation for estimation.The estimation results are presented below:   Given the above,at the 1 percent level of significance,the number of degrees of freedom for a t-test is _____,and the critical value of the t-statistic is ________.0Only parameter estimates)________ is are)NOT statistically significant at the 1 percent level of significance.</strong> A)30; 2.457;   B)30; 2.750;   C)34; 2.042;   D)34; 2.042,   and   <div style=padding-top: 35px>
سؤال
The following linear demand specification is estimated for Conlan Enterprises,a price-setting firm: <strong>The following linear demand specification is estimated for Conlan Enterprises,a price-setting firm:   where Q is the quantity demanded of the product Conlan Enterprises sells,P is the price of that product,M is income,and   is the price of a related product.The results of the estimation are presented below:   For the next 2 questions suppose income remains at $10,000 but the price of the related good increases to $60 and Conlan decides to raise the price of its product to $50.What is the new own price elasticity of demand?</strong> A)-0.24 B)-0.43 C)-0.87 D)-1.00 E)-1.26 <div style=padding-top: 35px> where Q is the quantity demanded of the product Conlan Enterprises sells,P is the price of that product,M is income,and <strong>The following linear demand specification is estimated for Conlan Enterprises,a price-setting firm:   where Q is the quantity demanded of the product Conlan Enterprises sells,P is the price of that product,M is income,and   is the price of a related product.The results of the estimation are presented below:   For the next 2 questions suppose income remains at $10,000 but the price of the related good increases to $60 and Conlan decides to raise the price of its product to $50.What is the new own price elasticity of demand?</strong> A)-0.24 B)-0.43 C)-0.87 D)-1.00 E)-1.26 <div style=padding-top: 35px> is the price of a related product.The results of the estimation are presented below: <strong>The following linear demand specification is estimated for Conlan Enterprises,a price-setting firm:   where Q is the quantity demanded of the product Conlan Enterprises sells,P is the price of that product,M is income,and   is the price of a related product.The results of the estimation are presented below:   For the next 2 questions suppose income remains at $10,000 but the price of the related good increases to $60 and Conlan decides to raise the price of its product to $50.What is the new own price elasticity of demand?</strong> A)-0.24 B)-0.43 C)-0.87 D)-1.00 E)-1.26 <div style=padding-top: 35px> For the next 2 questions suppose income remains at $10,000 but the price of the related good increases to $60 and Conlan decides to raise the price of its product to $50.What is the new own price elasticity of demand?

A)-0.24
B)-0.43
C)-0.87
D)-1.00
E)-1.26
سؤال
A market-determined price

A)is determined by the manager of a firm.
B)is determined by the intersection of demand and supply curves.
C)is an endogenous variable
D)both a and b
E)both b and c
سؤال
Seasonal or cyclical variation in a time series model

A)is regular in nature and can be accounted for by dummy variables.
B)can decrease the accuracy of a forecast if not accounted for by dummy variables.
C)exhibits irregular variation that can be accounted for by dummy variables.
D)both a and b
E)both b and c
سؤال
The estimated demand for a good X is <strong>The estimated demand for a good X is   ,where   = units of the good,P = price of the good,M = income,and   = price of related good Z.All parameter estimates are statistically significant.Which of the following statements is correct?</strong> A)X is a normal good. B)X is an inferior good. C)X and Z are substitutes. D)X and Z are complements. E)both b and c <div style=padding-top: 35px> ,where <strong>The estimated demand for a good X is   ,where   = units of the good,P = price of the good,M = income,and   = price of related good Z.All parameter estimates are statistically significant.Which of the following statements is correct?</strong> A)X is a normal good. B)X is an inferior good. C)X and Z are substitutes. D)X and Z are complements. E)both b and c <div style=padding-top: 35px> = units of the good,P = price of the good,M = income,and <strong>The estimated demand for a good X is   ,where   = units of the good,P = price of the good,M = income,and   = price of related good Z.All parameter estimates are statistically significant.Which of the following statements is correct?</strong> A)X is a normal good. B)X is an inferior good. C)X and Z are substitutes. D)X and Z are complements. E)both b and c <div style=padding-top: 35px> = price of related good Z.All parameter estimates are statistically significant.Which of the following statements is correct?

A)X is a normal good.
B)X is an inferior good.
C)X and Z are substitutes.
D)X and Z are complements.
E)both b and c
سؤال
Time-series models

A)cannot be replicated by another researcher.
B)use dummy variables to control for cyclical variation.
C)use dummy variables to control for time trend.
D)both a and b
E)both b and c
سؤال
The following linear demand specification is estimated for Conlan Enterprises,a price-setting firm: <strong>The following linear demand specification is estimated for Conlan Enterprises,a price-setting firm:   where Q is the quantity demanded of the product Conlan Enterprises sells,P is the price of that product,M is income,and   is the price of a related product.The results of the estimation are presented below:   Assume that the income is $10,000,the price of the related good is $40,and Conlan chooses to set the price of this product at $30.At the prices and income given above,what is the price elasticity of demand?</strong> A)-0.43 B)-0.86 C)-1.00 D)-1.43 E)-2.40 <div style=padding-top: 35px> where Q is the quantity demanded of the product Conlan Enterprises sells,P is the price of that product,M is income,and <strong>The following linear demand specification is estimated for Conlan Enterprises,a price-setting firm:   where Q is the quantity demanded of the product Conlan Enterprises sells,P is the price of that product,M is income,and   is the price of a related product.The results of the estimation are presented below:   Assume that the income is $10,000,the price of the related good is $40,and Conlan chooses to set the price of this product at $30.At the prices and income given above,what is the price elasticity of demand?</strong> A)-0.43 B)-0.86 C)-1.00 D)-1.43 E)-2.40 <div style=padding-top: 35px> is the price of a related product.The results of the estimation are presented below: <strong>The following linear demand specification is estimated for Conlan Enterprises,a price-setting firm:   where Q is the quantity demanded of the product Conlan Enterprises sells,P is the price of that product,M is income,and   is the price of a related product.The results of the estimation are presented below:   Assume that the income is $10,000,the price of the related good is $40,and Conlan chooses to set the price of this product at $30.At the prices and income given above,what is the price elasticity of demand?</strong> A)-0.43 B)-0.86 C)-1.00 D)-1.43 E)-2.40 <div style=padding-top: 35px> Assume that the income is $10,000,the price of the related good is $40,and Conlan chooses to set the price of this product at $30.At the prices and income given above,what is the price elasticity of demand?

A)-0.43
B)-0.86
C)-1.00
D)-1.43
E)-2.40
سؤال
Build-Right Concrete Products produces specialty cement used in construction of highways.Build-Right is a price-setting firm and estimates the demand for its cement by the State Highway Department using a demand function in the nonlinear form: <strong>Build-Right Concrete Products produces specialty cement used in construction of highways.Build-Right is a price-setting firm and estimates the demand for its cement by the State Highway Department using a demand function in the nonlinear form:   where Q = yards of cement demanded monthly,P = the price of Build-Right's cement per yard,M = state tax revenues per capita,and   = the price of asphalt per yard.The manager at Build-Right transforms the nonlinear relation into a linear relation for estimation.The estimation results are presented below:   Given the above,if Build-Right decides to charge the State Highway Department $55 per yard for its cement when tax revenues per capita are $3,200 and the price of asphalt is $35 per yard,the expected quantity demanded is</strong> A)1,000 yards of cement. B)2,000 yards of cement. C)4,000 yards of cement. D)6,000 yards of cement. E)8,000 yards of cement. <div style=padding-top: 35px> where Q = yards of cement demanded monthly,P = the price of Build-Right's cement per yard,M = state tax revenues per capita,and <strong>Build-Right Concrete Products produces specialty cement used in construction of highways.Build-Right is a price-setting firm and estimates the demand for its cement by the State Highway Department using a demand function in the nonlinear form:   where Q = yards of cement demanded monthly,P = the price of Build-Right's cement per yard,M = state tax revenues per capita,and   = the price of asphalt per yard.The manager at Build-Right transforms the nonlinear relation into a linear relation for estimation.The estimation results are presented below:   Given the above,if Build-Right decides to charge the State Highway Department $55 per yard for its cement when tax revenues per capita are $3,200 and the price of asphalt is $35 per yard,the expected quantity demanded is</strong> A)1,000 yards of cement. B)2,000 yards of cement. C)4,000 yards of cement. D)6,000 yards of cement. E)8,000 yards of cement. <div style=padding-top: 35px> = the price of asphalt per yard.The manager at Build-Right transforms the nonlinear relation into a linear relation for estimation.The estimation results are presented below: <strong>Build-Right Concrete Products produces specialty cement used in construction of highways.Build-Right is a price-setting firm and estimates the demand for its cement by the State Highway Department using a demand function in the nonlinear form:   where Q = yards of cement demanded monthly,P = the price of Build-Right's cement per yard,M = state tax revenues per capita,and   = the price of asphalt per yard.The manager at Build-Right transforms the nonlinear relation into a linear relation for estimation.The estimation results are presented below:   Given the above,if Build-Right decides to charge the State Highway Department $55 per yard for its cement when tax revenues per capita are $3,200 and the price of asphalt is $35 per yard,the expected quantity demanded is</strong> A)1,000 yards of cement. B)2,000 yards of cement. C)4,000 yards of cement. D)6,000 yards of cement. E)8,000 yards of cement. <div style=padding-top: 35px> Given the above,if Build-Right decides to charge the State Highway Department $55 per yard for its cement when tax revenues per capita are $3,200 and the price of asphalt is $35 per yard,the expected quantity demanded is

A)1,000 yards of cement.
B)2,000 yards of cement.
C)4,000 yards of cement.
D)6,000 yards of cement.
E)8,000 yards of cement.
سؤال
Time-series data

A)show the behavior of a particular variable over time.
B)may exhibit trend or cyclical variation,but not both at the same time.
C)may exhibit trend and cyclical variation at the same time.
D)both a and b
E)both a and c
سؤال
The following linear demand specification is estimated for Conlan Enterprises,a price-setting firm: <strong>The following linear demand specification is estimated for Conlan Enterprises,a price-setting firm:   where Q is the quantity demanded of the product Conlan Enterprises sells,P is the price of that product,M is income,and   is the price of a related product.The results of the estimation are presented below:   Given the above,based upon the parameter estimates in the above table</strong> A)this good is a normal good. B)the related good is a substitute. C)the related good is a complement. D)a and b E)a and c <div style=padding-top: 35px> where Q is the quantity demanded of the product Conlan Enterprises sells,P is the price of that product,M is income,and <strong>The following linear demand specification is estimated for Conlan Enterprises,a price-setting firm:   where Q is the quantity demanded of the product Conlan Enterprises sells,P is the price of that product,M is income,and   is the price of a related product.The results of the estimation are presented below:   Given the above,based upon the parameter estimates in the above table</strong> A)this good is a normal good. B)the related good is a substitute. C)the related good is a complement. D)a and b E)a and c <div style=padding-top: 35px> is the price of a related product.The results of the estimation are presented below: <strong>The following linear demand specification is estimated for Conlan Enterprises,a price-setting firm:   where Q is the quantity demanded of the product Conlan Enterprises sells,P is the price of that product,M is income,and   is the price of a related product.The results of the estimation are presented below:   Given the above,based upon the parameter estimates in the above table</strong> A)this good is a normal good. B)the related good is a substitute. C)the related good is a complement. D)a and b E)a and c <div style=padding-top: 35px> Given the above,based upon the parameter estimates in the above table

A)this good is a normal good.
B)the related good is a substitute.
C)the related good is a complement.
D)a and b
E)a and c
سؤال
A consulting firm estimates the following quarterly sales forecasting model: <strong>A consulting firm estimates the following quarterly sales forecasting model:   The equation is estimated using quarterly data from 2005I-2015III t = 1,...,43).The variable D is a dummy variable for the second quarter where: D = 1 in the second quarter,and 0 otherwise. The results of the estimation are:   Given the above,these estimates indicate that the second quarter change in sales is</strong> A)22.5 units higher in the second quarter than in the other three quarters. B)1.86 units higher in the second quarter than in the other three quarters. C)2.00 units higher in the second quarter than in the other three quarters. D)24.5 units higher in the second quarter than in the other three quarters. <div style=padding-top: 35px> The equation is estimated using quarterly data from 2005I-2015III t = 1,...,43).The variable D is a dummy variable for the second quarter where: D = 1 in the second quarter,and 0 otherwise.
The results of the estimation are:
<strong>A consulting firm estimates the following quarterly sales forecasting model:   The equation is estimated using quarterly data from 2005I-2015III t = 1,...,43).The variable D is a dummy variable for the second quarter where: D = 1 in the second quarter,and 0 otherwise. The results of the estimation are:   Given the above,these estimates indicate that the second quarter change in sales is</strong> A)22.5 units higher in the second quarter than in the other three quarters. B)1.86 units higher in the second quarter than in the other three quarters. C)2.00 units higher in the second quarter than in the other three quarters. D)24.5 units higher in the second quarter than in the other three quarters. <div style=padding-top: 35px> Given the above,these estimates indicate that the second quarter change in sales is

A)22.5 units higher in the second quarter than in the other three quarters.
B)1.86 units higher in the second quarter than in the other three quarters.
C)2.00 units higher in the second quarter than in the other three quarters.
D)24.5 units higher in the second quarter than in the other three quarters.
سؤال
The following linear demand specification is estimated for Conlan Enterprises,a price-setting firm: <strong>The following linear demand specification is estimated for Conlan Enterprises,a price-setting firm:   where Q is the quantity demanded of the product Conlan Enterprises sells,P is the price of that product,M is income,and   is the price of a related product.The results of the estimation are presented below:   Given the above,at the 1% level of significance,the critical value of the t-statistic used by Conlan to test for statistical significance has _____ degrees of freedom and is equal to ________.</strong> A)32; 0.7984 B)32; 36.14 C)32; 4.57 D)30; 2.750 E)28; 2.763 <div style=padding-top: 35px> where Q is the quantity demanded of the product Conlan Enterprises sells,P is the price of that product,M is income,and <strong>The following linear demand specification is estimated for Conlan Enterprises,a price-setting firm:   where Q is the quantity demanded of the product Conlan Enterprises sells,P is the price of that product,M is income,and   is the price of a related product.The results of the estimation are presented below:   Given the above,at the 1% level of significance,the critical value of the t-statistic used by Conlan to test for statistical significance has _____ degrees of freedom and is equal to ________.</strong> A)32; 0.7984 B)32; 36.14 C)32; 4.57 D)30; 2.750 E)28; 2.763 <div style=padding-top: 35px> is the price of a related product.The results of the estimation are presented below: <strong>The following linear demand specification is estimated for Conlan Enterprises,a price-setting firm:   where Q is the quantity demanded of the product Conlan Enterprises sells,P is the price of that product,M is income,and   is the price of a related product.The results of the estimation are presented below:   Given the above,at the 1% level of significance,the critical value of the t-statistic used by Conlan to test for statistical significance has _____ degrees of freedom and is equal to ________.</strong> A)32; 0.7984 B)32; 36.14 C)32; 4.57 D)30; 2.750 E)28; 2.763 <div style=padding-top: 35px> Given the above,at the 1% level of significance,the critical value of the t-statistic used by Conlan to test for statistical significance has _____ degrees of freedom and is equal to ________.

A)32; 0.7984
B)32; 36.14
C)32; 4.57
D)30; 2.750
E)28; 2.763
سؤال
Qualitative forecasting methods

A)use higher quality data than statistical methods.
B)are often the result of expert opinion.
C)cannot be replicated by another researcher.
D)both b and c
E)all of the above
سؤال
Dummy variables are used in time-series forecasting models

A)to change the intercept of a regression in selected periods.
B)to account for random variation in the data.
C)to account for seasonal variation in the data.
D)both a and b
E)both a and c
سؤال
The following linear demand specification is estimated for Conlan Enterprises,a price-setting firm: <strong>The following linear demand specification is estimated for Conlan Enterprises,a price-setting firm:   where Q is the quantity demanded of the product Conlan Enterprises sells,P is the price of that product,M is income,and   is the price of a related product.The results of the estimation are presented below:   For the next 2 questions suppose income remains at $10,000 but the price of the related good increases to $60 and Conlan decides to raise the price of its product to $50.At the prices and income given above,Conlan can expect to sell _________units.</strong> A)342 B)600 C)724 D)864 E)872 <div style=padding-top: 35px> where Q is the quantity demanded of the product Conlan Enterprises sells,P is the price of that product,M is income,and <strong>The following linear demand specification is estimated for Conlan Enterprises,a price-setting firm:   where Q is the quantity demanded of the product Conlan Enterprises sells,P is the price of that product,M is income,and   is the price of a related product.The results of the estimation are presented below:   For the next 2 questions suppose income remains at $10,000 but the price of the related good increases to $60 and Conlan decides to raise the price of its product to $50.At the prices and income given above,Conlan can expect to sell _________units.</strong> A)342 B)600 C)724 D)864 E)872 <div style=padding-top: 35px> is the price of a related product.The results of the estimation are presented below: <strong>The following linear demand specification is estimated for Conlan Enterprises,a price-setting firm:   where Q is the quantity demanded of the product Conlan Enterprises sells,P is the price of that product,M is income,and   is the price of a related product.The results of the estimation are presented below:   For the next 2 questions suppose income remains at $10,000 but the price of the related good increases to $60 and Conlan decides to raise the price of its product to $50.At the prices and income given above,Conlan can expect to sell _________units.</strong> A)342 B)600 C)724 D)864 E)872 <div style=padding-top: 35px> For the next 2 questions suppose income remains at $10,000 but the price of the related good increases to $60 and Conlan decides to raise the price of its product to $50.At the prices and income given above,Conlan can expect to sell _________units.

A)342
B)600
C)724
D)864
E)872
سؤال
The following linear demand specification is estimated for Conlan Enterprises,a price-setting firm: <strong>The following linear demand specification is estimated for Conlan Enterprises,a price-setting firm:   where Q is the quantity demanded of the product Conlan Enterprises sells,P is the price of that product,M is income,and   is the price of a related product.The results of the estimation are presented below:   Given the above,at the 1% level of significance,which estimates are statistically significant?</strong> A)All are statistically significant B)All but   are statistically significant C)Only   are statistically significant D)Only   is statistically significant E)All but   are statistically significant <div style=padding-top: 35px> where Q is the quantity demanded of the product Conlan Enterprises sells,P is the price of that product,M is income,and <strong>The following linear demand specification is estimated for Conlan Enterprises,a price-setting firm:   where Q is the quantity demanded of the product Conlan Enterprises sells,P is the price of that product,M is income,and   is the price of a related product.The results of the estimation are presented below:   Given the above,at the 1% level of significance,which estimates are statistically significant?</strong> A)All are statistically significant B)All but   are statistically significant C)Only   are statistically significant D)Only   is statistically significant E)All but   are statistically significant <div style=padding-top: 35px> is the price of a related product.The results of the estimation are presented below: <strong>The following linear demand specification is estimated for Conlan Enterprises,a price-setting firm:   where Q is the quantity demanded of the product Conlan Enterprises sells,P is the price of that product,M is income,and   is the price of a related product.The results of the estimation are presented below:   Given the above,at the 1% level of significance,which estimates are statistically significant?</strong> A)All are statistically significant B)All but   are statistically significant C)Only   are statistically significant D)Only   is statistically significant E)All but   are statistically significant <div style=padding-top: 35px> Given the above,at the 1% level of significance,which estimates are statistically significant?

A)All are statistically significant
B)All but <strong>The following linear demand specification is estimated for Conlan Enterprises,a price-setting firm:   where Q is the quantity demanded of the product Conlan Enterprises sells,P is the price of that product,M is income,and   is the price of a related product.The results of the estimation are presented below:   Given the above,at the 1% level of significance,which estimates are statistically significant?</strong> A)All are statistically significant B)All but   are statistically significant C)Only   are statistically significant D)Only   is statistically significant E)All but   are statistically significant <div style=padding-top: 35px> are statistically significant
C)Only <strong>The following linear demand specification is estimated for Conlan Enterprises,a price-setting firm:   where Q is the quantity demanded of the product Conlan Enterprises sells,P is the price of that product,M is income,and   is the price of a related product.The results of the estimation are presented below:   Given the above,at the 1% level of significance,which estimates are statistically significant?</strong> A)All are statistically significant B)All but   are statistically significant C)Only   are statistically significant D)Only   is statistically significant E)All but   are statistically significant <div style=padding-top: 35px> are statistically significant
D)Only <strong>The following linear demand specification is estimated for Conlan Enterprises,a price-setting firm:   where Q is the quantity demanded of the product Conlan Enterprises sells,P is the price of that product,M is income,and   is the price of a related product.The results of the estimation are presented below:   Given the above,at the 1% level of significance,which estimates are statistically significant?</strong> A)All are statistically significant B)All but   are statistically significant C)Only   are statistically significant D)Only   is statistically significant E)All but   are statistically significant <div style=padding-top: 35px> is statistically significant
E)All but <strong>The following linear demand specification is estimated for Conlan Enterprises,a price-setting firm:   where Q is the quantity demanded of the product Conlan Enterprises sells,P is the price of that product,M is income,and   is the price of a related product.The results of the estimation are presented below:   Given the above,at the 1% level of significance,which estimates are statistically significant?</strong> A)All are statistically significant B)All but   are statistically significant C)Only   are statistically significant D)Only   is statistically significant E)All but   are statistically significant <div style=padding-top: 35px> are statistically significant
سؤال
Manager-determined prices are

A)not determined by the forces of demand and supply.
B)exogenous variables in a demand equations.
C)associated with price-taking firms.
D)both a and b
E)both b and c
سؤال
A consulting firm estimates the following quarterly sales forecasting model: <strong>A consulting firm estimates the following quarterly sales forecasting model:   The equation is estimated using quarterly data from 2005I-2015III t = 1,...,43).The variable D is a dummy variable for the second quarter where: D = 1 in the second quarter,and 0 otherwise. The results of the estimation are:   Given the above,at the 1 percent level of significance,is there a statistically significant trend in sales?</strong> A)Yes,because 0.0016 < 0.01. B)No,because 0.0016 < 0.01. C)Yes,because 0.55 > 0.01. D)Yes,because 1.86 > 0.01. E)both c and d <div style=padding-top: 35px> The equation is estimated using quarterly data from 2005I-2015III t = 1,...,43).The variable D is a dummy variable for the second quarter where: D = 1 in the second quarter,and 0 otherwise.
The results of the estimation are:
<strong>A consulting firm estimates the following quarterly sales forecasting model:   The equation is estimated using quarterly data from 2005I-2015III t = 1,...,43).The variable D is a dummy variable for the second quarter where: D = 1 in the second quarter,and 0 otherwise. The results of the estimation are:   Given the above,at the 1 percent level of significance,is there a statistically significant trend in sales?</strong> A)Yes,because 0.0016 < 0.01. B)No,because 0.0016 < 0.01. C)Yes,because 0.55 > 0.01. D)Yes,because 1.86 > 0.01. E)both c and d <div style=padding-top: 35px> Given the above,at the 1 percent level of significance,is there a statistically significant trend in sales?

A)Yes,because 0.0016 < 0.01.
B)No,because 0.0016 < 0.01.
C)Yes,because 0.55 > 0.01.
D)Yes,because 1.86 > 0.01.
E)both c and d
سؤال
The following linear demand specification is estimated for Conlan Enterprises,a price-setting firm: <strong>The following linear demand specification is estimated for Conlan Enterprises,a price-setting firm:   where Q is the quantity demanded of the product Conlan Enterprises sells,P is the price of that product,M is income,and   is the price of a related product.The results of the estimation are presented below:   Assume that the income is $10,000,the price of the related good is $40,and Conlan chooses to set the price of this product at $30.At the prices and income given above,what is the income elasticity?</strong> A)-1.62 B)-0.87 C)0.21 D)0.31 E)1.50 <div style=padding-top: 35px> where Q is the quantity demanded of the product Conlan Enterprises sells,P is the price of that product,M is income,and <strong>The following linear demand specification is estimated for Conlan Enterprises,a price-setting firm:   where Q is the quantity demanded of the product Conlan Enterprises sells,P is the price of that product,M is income,and   is the price of a related product.The results of the estimation are presented below:   Assume that the income is $10,000,the price of the related good is $40,and Conlan chooses to set the price of this product at $30.At the prices and income given above,what is the income elasticity?</strong> A)-1.62 B)-0.87 C)0.21 D)0.31 E)1.50 <div style=padding-top: 35px> is the price of a related product.The results of the estimation are presented below: <strong>The following linear demand specification is estimated for Conlan Enterprises,a price-setting firm:   where Q is the quantity demanded of the product Conlan Enterprises sells,P is the price of that product,M is income,and   is the price of a related product.The results of the estimation are presented below:   Assume that the income is $10,000,the price of the related good is $40,and Conlan chooses to set the price of this product at $30.At the prices and income given above,what is the income elasticity?</strong> A)-1.62 B)-0.87 C)0.21 D)0.31 E)1.50 <div style=padding-top: 35px> Assume that the income is $10,000,the price of the related good is $40,and Conlan chooses to set the price of this product at $30.At the prices and income given above,what is the income elasticity?

A)-1.62
B)-0.87
C)0.21
D)0.31
E)1.50
سؤال
A consulting firm estimates the following quarterly sales forecasting model: <strong>A consulting firm estimates the following quarterly sales forecasting model:   The equation is estimated using quarterly data from 2005I-2015III t = 1,...,43).The variable D is a dummy variable for the second quarter where: D = 1 in the second quarter,and 0 otherwise. The results of the estimation are:   Give the above,at the 1 percent level of significance,is there a statistically significant trend in sales?</strong> A)No,since 1.86 < 2.704 B)No,since 0.55 < 1.86 C)No,since 1.02 < 2.704 D)Yes,since 1.86 > 0.55 E)Yes,since 3.38 > 2.704 <div style=padding-top: 35px> The equation is estimated using quarterly data from 2005I-2015III t = 1,...,43).The variable D is a dummy variable for the second quarter where: D = 1 in the second quarter,and 0 otherwise.
The results of the estimation are:
<strong>A consulting firm estimates the following quarterly sales forecasting model:   The equation is estimated using quarterly data from 2005I-2015III t = 1,...,43).The variable D is a dummy variable for the second quarter where: D = 1 in the second quarter,and 0 otherwise. The results of the estimation are:   Give the above,at the 1 percent level of significance,is there a statistically significant trend in sales?</strong> A)No,since 1.86 < 2.704 B)No,since 0.55 < 1.86 C)No,since 1.02 < 2.704 D)Yes,since 1.86 > 0.55 E)Yes,since 3.38 > 2.704 <div style=padding-top: 35px> Give the above,at the 1 percent level of significance,is there a statistically significant trend in sales?

A)No,since 1.86 < 2.704
B)No,since 0.55 < 1.86
C)No,since 1.02 < 2.704
D)Yes,since 1.86 > 0.55
E)Yes,since 3.38 > 2.704
سؤال
The following linear demand specification is estimated for Conlan Enterprises,a price-setting firm: <strong>The following linear demand specification is estimated for Conlan Enterprises,a price-setting firm:   where Q is the quantity demanded of the product Conlan Enterprises sells,P is the price of that product,M is income,and   is the price of a related product.The results of the estimation are presented below:   Assume that the income is $10,000,the price of the related good is $40,and Conlan chooses to set the price of this product at $30.At the prices and income given above,Conlan can expect to sell _________units.</strong> A)342 B)600 C)724 D)864 E)872 <div style=padding-top: 35px> where Q is the quantity demanded of the product Conlan Enterprises sells,P is the price of that product,M is income,and <strong>The following linear demand specification is estimated for Conlan Enterprises,a price-setting firm:   where Q is the quantity demanded of the product Conlan Enterprises sells,P is the price of that product,M is income,and   is the price of a related product.The results of the estimation are presented below:   Assume that the income is $10,000,the price of the related good is $40,and Conlan chooses to set the price of this product at $30.At the prices and income given above,Conlan can expect to sell _________units.</strong> A)342 B)600 C)724 D)864 E)872 <div style=padding-top: 35px> is the price of a related product.The results of the estimation are presented below: <strong>The following linear demand specification is estimated for Conlan Enterprises,a price-setting firm:   where Q is the quantity demanded of the product Conlan Enterprises sells,P is the price of that product,M is income,and   is the price of a related product.The results of the estimation are presented below:   Assume that the income is $10,000,the price of the related good is $40,and Conlan chooses to set the price of this product at $30.At the prices and income given above,Conlan can expect to sell _________units.</strong> A)342 B)600 C)724 D)864 E)872 <div style=padding-top: 35px> Assume that the income is $10,000,the price of the related good is $40,and Conlan chooses to set the price of this product at $30.At the prices and income given above,Conlan can expect to sell _________units.

A)342
B)600
C)724
D)864
E)872
سؤال
Problems in forecasting include:

A)estimates becoming more reliable the further you forecast into the future
B)specification error
C)cyclical variation
D)both b and c
E)all of the above
سؤال
A consulting firm estimates the following quarterly sales forecasting model: <strong>A consulting firm estimates the following quarterly sales forecasting model:   The equation is estimated using quarterly data from 2005I-2015III t = 1,...,43).The variable D is a dummy variable for the second quarter where: D = 1 in the second quarter,and 0 otherwise. The results of the estimation are:   Using the estimated trend line above,what is the predicted level of sales in 2016I ?</strong> A)110.06 B)106.20 C)104.34 D)102.2 E)none of the above <div style=padding-top: 35px> The equation is estimated using quarterly data from 2005I-2015III t = 1,...,43).The variable D is a dummy variable for the second quarter where: D = 1 in the second quarter,and 0 otherwise.
The results of the estimation are:
<strong>A consulting firm estimates the following quarterly sales forecasting model:   The equation is estimated using quarterly data from 2005I-2015III t = 1,...,43).The variable D is a dummy variable for the second quarter where: D = 1 in the second quarter,and 0 otherwise. The results of the estimation are:   Using the estimated trend line above,what is the predicted level of sales in 2016I ?</strong> A)110.06 B)106.20 C)104.34 D)102.2 E)none of the above <div style=padding-top: 35px> Using the estimated trend line above,what is the predicted level of sales in 2016I ?

A)110.06
B)106.20
C)104.34
D)102.2
E)none of the above
سؤال
A consulting firm estimates the following quarterly sales forecasting model: <strong>A consulting firm estimates the following quarterly sales forecasting model:   The equation is estimated using quarterly data from 2005I-2015III t = 1,...,43).The variable D is a dummy variable for the second quarter where: D = 1 in the second quarter,and 0 otherwise. The results of the estimation are:   Given the above,what is the estimated intercept of the trend line in the second quarter?</strong> A)22.50 B)24.50 C)24.36 D)2.00 E)none of the above <div style=padding-top: 35px> The equation is estimated using quarterly data from 2005I-2015III t = 1,...,43).The variable D is a dummy variable for the second quarter where: D = 1 in the second quarter,and 0 otherwise.
The results of the estimation are:
<strong>A consulting firm estimates the following quarterly sales forecasting model:   The equation is estimated using quarterly data from 2005I-2015III t = 1,...,43).The variable D is a dummy variable for the second quarter where: D = 1 in the second quarter,and 0 otherwise. The results of the estimation are:   Given the above,what is the estimated intercept of the trend line in the second quarter?</strong> A)22.50 B)24.50 C)24.36 D)2.00 E)none of the above <div style=padding-top: 35px> Given the above,what is the estimated intercept of the trend line in the second quarter?

A)22.50
B)24.50
C)24.36
D)2.00
E)none of the above
سؤال
A consulting firm estimates the following quarterly sales forecasting model: <strong>A consulting firm estimates the following quarterly sales forecasting model:   The equation is estimated using quarterly data from 2005I-2015III t = 1,...,43).The variable D is a dummy variable for the second quarter where: D = 1 in the second quarter,and 0 otherwise. The results of the estimation are:   Using the estimated trend line above,what is the predicted level of sales in 2015IV ?</strong> A)110.06 B)106.20 C)104.34 D)102.2 E)none of the above <div style=padding-top: 35px> The equation is estimated using quarterly data from 2005I-2015III t = 1,...,43).The variable D is a dummy variable for the second quarter where: D = 1 in the second quarter,and 0 otherwise.
The results of the estimation are:
<strong>A consulting firm estimates the following quarterly sales forecasting model:   The equation is estimated using quarterly data from 2005I-2015III t = 1,...,43).The variable D is a dummy variable for the second quarter where: D = 1 in the second quarter,and 0 otherwise. The results of the estimation are:   Using the estimated trend line above,what is the predicted level of sales in 2015IV ?</strong> A)110.06 B)106.20 C)104.34 D)102.2 E)none of the above <div style=padding-top: 35px> Using the estimated trend line above,what is the predicted level of sales in 2015IV ?

A)110.06
B)106.20
C)104.34
D)102.2
E)none of the above
سؤال
A forecaster used the regression equation <strong>A forecaster used the regression equation   and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and   and   are dummy variables for quarters I,II,and III.   Using the estimation results given above,the predicted level of sales in 2014IV is _______ units.</strong> A)125 B)127.50 C)132 D)133.5 E)none of the above <div style=padding-top: 35px> and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and <strong>A forecaster used the regression equation   and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and   and   are dummy variables for quarters I,II,and III.   Using the estimation results given above,the predicted level of sales in 2014IV is _______ units.</strong> A)125 B)127.50 C)132 D)133.5 E)none of the above <div style=padding-top: 35px> and <strong>A forecaster used the regression equation   and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and   and   are dummy variables for quarters I,II,and III.   Using the estimation results given above,the predicted level of sales in 2014IV is _______ units.</strong> A)125 B)127.50 C)132 D)133.5 E)none of the above <div style=padding-top: 35px> are dummy variables for quarters I,II,and III. <strong>A forecaster used the regression equation   and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and   and   are dummy variables for quarters I,II,and III.   Using the estimation results given above,the predicted level of sales in 2014IV is _______ units.</strong> A)125 B)127.50 C)132 D)133.5 E)none of the above <div style=padding-top: 35px> Using the estimation results given above,the predicted level of sales in 2014IV is _______ units.

A)125
B)127.50
C)132
D)133.5
E)none of the above
سؤال
A forecaster used the regression equation <strong>A forecaster used the regression equation   and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and   and   are dummy variables for quarters I,II,and III.   At the 5 percent level of significance,is there a statistically significant trend in sales?</strong> A)Yes,because 0.0362 < 0.05. B)No,because 0.0362 > 0.01. C)Yes,because 0.700 > 0.05. D)Yes,because 2.14 >0.05. E)both c and d <div style=padding-top: 35px> and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and <strong>A forecaster used the regression equation   and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and   and   are dummy variables for quarters I,II,and III.   At the 5 percent level of significance,is there a statistically significant trend in sales?</strong> A)Yes,because 0.0362 < 0.05. B)No,because 0.0362 > 0.01. C)Yes,because 0.700 > 0.05. D)Yes,because 2.14 >0.05. E)both c and d <div style=padding-top: 35px> and <strong>A forecaster used the regression equation   and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and   and   are dummy variables for quarters I,II,and III.   At the 5 percent level of significance,is there a statistically significant trend in sales?</strong> A)Yes,because 0.0362 < 0.05. B)No,because 0.0362 > 0.01. C)Yes,because 0.700 > 0.05. D)Yes,because 2.14 >0.05. E)both c and d <div style=padding-top: 35px> are dummy variables for quarters I,II,and III. <strong>A forecaster used the regression equation   and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and   and   are dummy variables for quarters I,II,and III.   At the 5 percent level of significance,is there a statistically significant trend in sales?</strong> A)Yes,because 0.0362 < 0.05. B)No,because 0.0362 > 0.01. C)Yes,because 0.700 > 0.05. D)Yes,because 2.14 >0.05. E)both c and d <div style=padding-top: 35px> At the 5 percent level of significance,is there a statistically significant trend in sales?

A)Yes,because 0.0362 < 0.05.
B)No,because 0.0362 > 0.01.
C)Yes,because 0.700 > 0.05.
D)Yes,because 2.14 >0.05.
E)both c and d
سؤال
The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation <strong>The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation   to forecast doll prices in the year 2014.   is the quarterly price of dolls,and   and   are dummy variables for quarters I,II,and III,respectively.   At the 2 percent level of statistical significance,is there a statistically significant trend in the price of dolls?</strong> A)Yes,because 0.0022 < 0.02. B)No,because 0.0022 > 0.02. C)Yes,because 0.800 > 0.02. D)Yes,because 0.240 > 0.02. E)Yes,because 3.33 > 0.02. <div style=padding-top: 35px> to forecast doll prices in the year 2014. <strong>The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation   to forecast doll prices in the year 2014.   is the quarterly price of dolls,and   and   are dummy variables for quarters I,II,and III,respectively.   At the 2 percent level of statistical significance,is there a statistically significant trend in the price of dolls?</strong> A)Yes,because 0.0022 < 0.02. B)No,because 0.0022 > 0.02. C)Yes,because 0.800 > 0.02. D)Yes,because 0.240 > 0.02. E)Yes,because 3.33 > 0.02. <div style=padding-top: 35px> is the quarterly price of dolls,and <strong>The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation   to forecast doll prices in the year 2014.   is the quarterly price of dolls,and   and   are dummy variables for quarters I,II,and III,respectively.   At the 2 percent level of statistical significance,is there a statistically significant trend in the price of dolls?</strong> A)Yes,because 0.0022 < 0.02. B)No,because 0.0022 > 0.02. C)Yes,because 0.800 > 0.02. D)Yes,because 0.240 > 0.02. E)Yes,because 3.33 > 0.02. <div style=padding-top: 35px> and <strong>The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation   to forecast doll prices in the year 2014.   is the quarterly price of dolls,and   and   are dummy variables for quarters I,II,and III,respectively.   At the 2 percent level of statistical significance,is there a statistically significant trend in the price of dolls?</strong> A)Yes,because 0.0022 < 0.02. B)No,because 0.0022 > 0.02. C)Yes,because 0.800 > 0.02. D)Yes,because 0.240 > 0.02. E)Yes,because 3.33 > 0.02. <div style=padding-top: 35px> are dummy variables for quarters I,II,and III,respectively. <strong>The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation   to forecast doll prices in the year 2014.   is the quarterly price of dolls,and   and   are dummy variables for quarters I,II,and III,respectively.   At the 2 percent level of statistical significance,is there a statistically significant trend in the price of dolls?</strong> A)Yes,because 0.0022 < 0.02. B)No,because 0.0022 > 0.02. C)Yes,because 0.800 > 0.02. D)Yes,because 0.240 > 0.02. E)Yes,because 3.33 > 0.02. <div style=padding-top: 35px> At the 2 percent level of statistical significance,is there a statistically significant trend in the price of dolls?

A)Yes,because 0.0022 < 0.02.
B)No,because 0.0022 > 0.02.
C)Yes,because 0.800 > 0.02.
D)Yes,because 0.240 > 0.02.
E)Yes,because 3.33 > 0.02.
سؤال
A forecaster used the regression equation <strong>A forecaster used the regression equation   and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and   and   are dummy variables for quarters I,II,and III.   Using a 5 percent significance level,these estimation results indicate that sales in</strong> A)the first quarter are greater than sales in any other quarter. B)the second quarter are greater than sales in any other quarter. C)the third quarter are greater than sales in any other quarter. D)the fourth quarter are greater than sales in any other quarter. <div style=padding-top: 35px> and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and <strong>A forecaster used the regression equation   and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and   and   are dummy variables for quarters I,II,and III.   Using a 5 percent significance level,these estimation results indicate that sales in</strong> A)the first quarter are greater than sales in any other quarter. B)the second quarter are greater than sales in any other quarter. C)the third quarter are greater than sales in any other quarter. D)the fourth quarter are greater than sales in any other quarter. <div style=padding-top: 35px> and <strong>A forecaster used the regression equation   and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and   and   are dummy variables for quarters I,II,and III.   Using a 5 percent significance level,these estimation results indicate that sales in</strong> A)the first quarter are greater than sales in any other quarter. B)the second quarter are greater than sales in any other quarter. C)the third quarter are greater than sales in any other quarter. D)the fourth quarter are greater than sales in any other quarter. <div style=padding-top: 35px> are dummy variables for quarters I,II,and III. <strong>A forecaster used the regression equation   and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and   and   are dummy variables for quarters I,II,and III.   Using a 5 percent significance level,these estimation results indicate that sales in</strong> A)the first quarter are greater than sales in any other quarter. B)the second quarter are greater than sales in any other quarter. C)the third quarter are greater than sales in any other quarter. D)the fourth quarter are greater than sales in any other quarter. <div style=padding-top: 35px> Using a 5 percent significance level,these estimation results indicate that sales in

A)the first quarter are greater than sales in any other quarter.
B)the second quarter are greater than sales in any other quarter.
C)the third quarter are greater than sales in any other quarter.
D)the fourth quarter are greater than sales in any other quarter.
سؤال
A consulting firm estimates the following quarterly sales forecasting model: <strong>A consulting firm estimates the following quarterly sales forecasting model:   The equation is estimated using quarterly data from 2005I-2015III t = 1,...,43).The variable D is a dummy variable for the second quarter where: D = 1 in the second quarter,and 0 otherwise. The results of the estimation are:   Given the above,what is the estimated intercept of the trend line in the third quarter?</strong> A)22.50 B)24.50 C)24.36 D)2.00 E)none of the above <div style=padding-top: 35px> The equation is estimated using quarterly data from 2005I-2015III t = 1,...,43).The variable D is a dummy variable for the second quarter where: D = 1 in the second quarter,and 0 otherwise.
The results of the estimation are:
<strong>A consulting firm estimates the following quarterly sales forecasting model:   The equation is estimated using quarterly data from 2005I-2015III t = 1,...,43).The variable D is a dummy variable for the second quarter where: D = 1 in the second quarter,and 0 otherwise. The results of the estimation are:   Given the above,what is the estimated intercept of the trend line in the third quarter?</strong> A)22.50 B)24.50 C)24.36 D)2.00 E)none of the above <div style=padding-top: 35px> Given the above,what is the estimated intercept of the trend line in the third quarter?

A)22.50
B)24.50
C)24.36
D)2.00
E)none of the above
سؤال
A forecaster used the regression equation <strong>A forecaster used the regression equation   and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and   and   are dummy variables for quarters I,II,and III.   What is the estimated intercept of the trend line in the second quarter?</strong> A)25 B)26.6 C)55 D)65 E)none of the above <div style=padding-top: 35px> and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and <strong>A forecaster used the regression equation   and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and   and   are dummy variables for quarters I,II,and III.   What is the estimated intercept of the trend line in the second quarter?</strong> A)25 B)26.6 C)55 D)65 E)none of the above <div style=padding-top: 35px> and <strong>A forecaster used the regression equation   and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and   and   are dummy variables for quarters I,II,and III.   What is the estimated intercept of the trend line in the second quarter?</strong> A)25 B)26.6 C)55 D)65 E)none of the above <div style=padding-top: 35px> are dummy variables for quarters I,II,and III. <strong>A forecaster used the regression equation   and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and   and   are dummy variables for quarters I,II,and III.   What is the estimated intercept of the trend line in the second quarter?</strong> A)25 B)26.6 C)55 D)65 E)none of the above <div style=padding-top: 35px> What is the estimated intercept of the trend line in the second quarter?

A)25
B)26.6
C)55
D)65
E)none of the above
سؤال
The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation <strong>The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation   to forecast doll prices in the year 2014.   is the quarterly price of dolls,and   and   are dummy variables for quarters I,II,and III,respectively.   What is the estimated intercept of the trend line in the 1st quarter?</strong> A)24 B)-8 C)32 D)16 E)none of the above <div style=padding-top: 35px> to forecast doll prices in the year 2014. <strong>The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation   to forecast doll prices in the year 2014.   is the quarterly price of dolls,and   and   are dummy variables for quarters I,II,and III,respectively.   What is the estimated intercept of the trend line in the 1st quarter?</strong> A)24 B)-8 C)32 D)16 E)none of the above <div style=padding-top: 35px> is the quarterly price of dolls,and <strong>The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation   to forecast doll prices in the year 2014.   is the quarterly price of dolls,and   and   are dummy variables for quarters I,II,and III,respectively.   What is the estimated intercept of the trend line in the 1st quarter?</strong> A)24 B)-8 C)32 D)16 E)none of the above <div style=padding-top: 35px> and <strong>The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation   to forecast doll prices in the year 2014.   is the quarterly price of dolls,and   and   are dummy variables for quarters I,II,and III,respectively.   What is the estimated intercept of the trend line in the 1st quarter?</strong> A)24 B)-8 C)32 D)16 E)none of the above <div style=padding-top: 35px> are dummy variables for quarters I,II,and III,respectively. <strong>The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation   to forecast doll prices in the year 2014.   is the quarterly price of dolls,and   and   are dummy variables for quarters I,II,and III,respectively.   What is the estimated intercept of the trend line in the 1st quarter?</strong> A)24 B)-8 C)32 D)16 E)none of the above <div style=padding-top: 35px> What is the estimated intercept of the trend line in the 1st quarter?

A)24
B)-8
C)32
D)16
E)none of the above
سؤال
A forecaster used the regression equation <strong>A forecaster used the regression equation   and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and   and   are dummy variables for quarters I,II,and III.   Using the estimation results given above,the predicted level of sales in 2014III is _______ units.</strong> A)141.5 B)156 C)172 D)173.5 E)none of the above <div style=padding-top: 35px> and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and <strong>A forecaster used the regression equation   and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and   and   are dummy variables for quarters I,II,and III.   Using the estimation results given above,the predicted level of sales in 2014III is _______ units.</strong> A)141.5 B)156 C)172 D)173.5 E)none of the above <div style=padding-top: 35px> and <strong>A forecaster used the regression equation   and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and   and   are dummy variables for quarters I,II,and III.   Using the estimation results given above,the predicted level of sales in 2014III is _______ units.</strong> A)141.5 B)156 C)172 D)173.5 E)none of the above <div style=padding-top: 35px> are dummy variables for quarters I,II,and III. <strong>A forecaster used the regression equation   and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and   and   are dummy variables for quarters I,II,and III.   Using the estimation results given above,the predicted level of sales in 2014III is _______ units.</strong> A)141.5 B)156 C)172 D)173.5 E)none of the above <div style=padding-top: 35px> Using the estimation results given above,the predicted level of sales in 2014III is _______ units.

A)141.5
B)156
C)172
D)173.5
E)none of the above
سؤال
A forecaster used the regression equation <strong>A forecaster used the regression equation   and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and   and   are dummy variables for quarters I,II,and III.   Using the estimation results given above,the predicted level of sales in 2014I is _______ units.</strong> A)137.5 B)139 C)133.5 D)132 E)none of the above <div style=padding-top: 35px> and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and <strong>A forecaster used the regression equation   and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and   and   are dummy variables for quarters I,II,and III.   Using the estimation results given above,the predicted level of sales in 2014I is _______ units.</strong> A)137.5 B)139 C)133.5 D)132 E)none of the above <div style=padding-top: 35px> and <strong>A forecaster used the regression equation   and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and   and   are dummy variables for quarters I,II,and III.   Using the estimation results given above,the predicted level of sales in 2014I is _______ units.</strong> A)137.5 B)139 C)133.5 D)132 E)none of the above <div style=padding-top: 35px> are dummy variables for quarters I,II,and III. <strong>A forecaster used the regression equation   and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and   and   are dummy variables for quarters I,II,and III.   Using the estimation results given above,the predicted level of sales in 2014I is _______ units.</strong> A)137.5 B)139 C)133.5 D)132 E)none of the above <div style=padding-top: 35px> Using the estimation results given above,the predicted level of sales in 2014I is _______ units.

A)137.5
B)139
C)133.5
D)132
E)none of the above
سؤال
A forecaster used the regression equation <strong>A forecaster used the regression equation   and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and   and   are dummy variables for quarters I,II,and III.   In any given year,quarterly sales tend to vary as follows:</strong> A)Q<sub>I</sub> > Q<sub>II</sub> > Q<sub>III</sub> > Q<sub>IV</sub> B)Q<sub>I</sub> > Q<sub>II</sub> > Q<sub>IV</sub> > Q<sub>III</sub> C)Q<sub>II</sub> > Q<sub>III</sub> > Q<sub>IV</sub> > Q<sub>I</sub> D)Q<sub>III</sub> > Q<sub>II</sub> > Q<sub>I</sub> > Q<sub>IV</sub> E)Q<sub>III</sub> > Q<sub>IV</sub> > Q<sub>II</sub> > Q<sub>I</sub> <div style=padding-top: 35px> and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and <strong>A forecaster used the regression equation   and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and   and   are dummy variables for quarters I,II,and III.   In any given year,quarterly sales tend to vary as follows:</strong> A)Q<sub>I</sub> > Q<sub>II</sub> > Q<sub>III</sub> > Q<sub>IV</sub> B)Q<sub>I</sub> > Q<sub>II</sub> > Q<sub>IV</sub> > Q<sub>III</sub> C)Q<sub>II</sub> > Q<sub>III</sub> > Q<sub>IV</sub> > Q<sub>I</sub> D)Q<sub>III</sub> > Q<sub>II</sub> > Q<sub>I</sub> > Q<sub>IV</sub> E)Q<sub>III</sub> > Q<sub>IV</sub> > Q<sub>II</sub> > Q<sub>I</sub> <div style=padding-top: 35px> and <strong>A forecaster used the regression equation   and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and   and   are dummy variables for quarters I,II,and III.   In any given year,quarterly sales tend to vary as follows:</strong> A)Q<sub>I</sub> > Q<sub>II</sub> > Q<sub>III</sub> > Q<sub>IV</sub> B)Q<sub>I</sub> > Q<sub>II</sub> > Q<sub>IV</sub> > Q<sub>III</sub> C)Q<sub>II</sub> > Q<sub>III</sub> > Q<sub>IV</sub> > Q<sub>I</sub> D)Q<sub>III</sub> > Q<sub>II</sub> > Q<sub>I</sub> > Q<sub>IV</sub> E)Q<sub>III</sub> > Q<sub>IV</sub> > Q<sub>II</sub> > Q<sub>I</sub> <div style=padding-top: 35px> are dummy variables for quarters I,II,and III. <strong>A forecaster used the regression equation   and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and   and   are dummy variables for quarters I,II,and III.   In any given year,quarterly sales tend to vary as follows:</strong> A)Q<sub>I</sub> > Q<sub>II</sub> > Q<sub>III</sub> > Q<sub>IV</sub> B)Q<sub>I</sub> > Q<sub>II</sub> > Q<sub>IV</sub> > Q<sub>III</sub> C)Q<sub>II</sub> > Q<sub>III</sub> > Q<sub>IV</sub> > Q<sub>I</sub> D)Q<sub>III</sub> > Q<sub>II</sub> > Q<sub>I</sub> > Q<sub>IV</sub> E)Q<sub>III</sub> > Q<sub>IV</sub> > Q<sub>II</sub> > Q<sub>I</sub> <div style=padding-top: 35px> In any given year,quarterly sales tend to vary as follows:

A)QI > QII > QIII > QIV
B)QI > QII > QIV > QIII
C)QII > QIII > QIV > QI
D)QIII > QII > QI > QIV
E)QIII > QIV > QII > QI
سؤال
A forecaster used the regression equation <strong>A forecaster used the regression equation   and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and   and   are dummy variables for quarters I,II,and III.   At the 5 percent level of significance,is there a statistically significant trend in sales?</strong> A)No,because 1.5 < 2.66. B)No,because 1.5 < 2.00. C)No,because 2.14 < 2.66. D)Yes,because 2.14 > 2.00. E)none of the above <div style=padding-top: 35px> and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and <strong>A forecaster used the regression equation   and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and   and   are dummy variables for quarters I,II,and III.   At the 5 percent level of significance,is there a statistically significant trend in sales?</strong> A)No,because 1.5 < 2.66. B)No,because 1.5 < 2.00. C)No,because 2.14 < 2.66. D)Yes,because 2.14 > 2.00. E)none of the above <div style=padding-top: 35px> and <strong>A forecaster used the regression equation   and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and   and   are dummy variables for quarters I,II,and III.   At the 5 percent level of significance,is there a statistically significant trend in sales?</strong> A)No,because 1.5 < 2.66. B)No,because 1.5 < 2.00. C)No,because 2.14 < 2.66. D)Yes,because 2.14 > 2.00. E)none of the above <div style=padding-top: 35px> are dummy variables for quarters I,II,and III. <strong>A forecaster used the regression equation   and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and   and   are dummy variables for quarters I,II,and III.   At the 5 percent level of significance,is there a statistically significant trend in sales?</strong> A)No,because 1.5 < 2.66. B)No,because 1.5 < 2.00. C)No,because 2.14 < 2.66. D)Yes,because 2.14 > 2.00. E)none of the above <div style=padding-top: 35px> At the 5 percent level of significance,is there a statistically significant trend in sales?

A)No,because 1.5 < 2.66.
B)No,because 1.5 < 2.00.
C)No,because 2.14 < 2.66.
D)Yes,because 2.14 > 2.00.
E)none of the above
سؤال
A forecaster used the regression equation <strong>A forecaster used the regression equation   and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and   and   are dummy variables for quarters I,II,and III.   Using the estimation results given above,the predicted level of sales in 2014II is _______ units.</strong> A)127.5 B)137.5 C)154 D)155.5 E)none of the above <div style=padding-top: 35px> and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and <strong>A forecaster used the regression equation   and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and   and   are dummy variables for quarters I,II,and III.   Using the estimation results given above,the predicted level of sales in 2014II is _______ units.</strong> A)127.5 B)137.5 C)154 D)155.5 E)none of the above <div style=padding-top: 35px> and <strong>A forecaster used the regression equation   and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and   and   are dummy variables for quarters I,II,and III.   Using the estimation results given above,the predicted level of sales in 2014II is _______ units.</strong> A)127.5 B)137.5 C)154 D)155.5 E)none of the above <div style=padding-top: 35px> are dummy variables for quarters I,II,and III. <strong>A forecaster used the regression equation   and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and   and   are dummy variables for quarters I,II,and III.   Using the estimation results given above,the predicted level of sales in 2014II is _______ units.</strong> A)127.5 B)137.5 C)154 D)155.5 E)none of the above <div style=padding-top: 35px> Using the estimation results given above,the predicted level of sales in 2014II is _______ units.

A)127.5
B)137.5
C)154
D)155.5
E)none of the above
سؤال
A forecaster used the regression equation <strong>A forecaster used the regression equation   and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and   and   are dummy variables for quarters I,II,and III.   The estimated QUARTERLY increase in sales is ______ units,and the estimated ANNUAL increase in sales is ______ units.</strong> A)1.5; 6 B)1.4; 4 C)30; 4 D)1.5; 40 E)none of the above <div style=padding-top: 35px> and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and <strong>A forecaster used the regression equation   and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and   and   are dummy variables for quarters I,II,and III.   The estimated QUARTERLY increase in sales is ______ units,and the estimated ANNUAL increase in sales is ______ units.</strong> A)1.5; 6 B)1.4; 4 C)30; 4 D)1.5; 40 E)none of the above <div style=padding-top: 35px> and <strong>A forecaster used the regression equation   and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and   and   are dummy variables for quarters I,II,and III.   The estimated QUARTERLY increase in sales is ______ units,and the estimated ANNUAL increase in sales is ______ units.</strong> A)1.5; 6 B)1.4; 4 C)30; 4 D)1.5; 40 E)none of the above <div style=padding-top: 35px> are dummy variables for quarters I,II,and III. <strong>A forecaster used the regression equation   and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and   and   are dummy variables for quarters I,II,and III.   The estimated QUARTERLY increase in sales is ______ units,and the estimated ANNUAL increase in sales is ______ units.</strong> A)1.5; 6 B)1.4; 4 C)30; 4 D)1.5; 40 E)none of the above <div style=padding-top: 35px> The estimated QUARTERLY increase in sales is ______ units,and the estimated ANNUAL increase in sales is ______ units.

A)1.5; 6
B)1.4; 4
C)30; 4
D)1.5; 40
E)none of the above
سؤال
The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation <strong>The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation   to forecast doll prices in the year 2014.   is the quarterly price of dolls,and   and   are dummy variables for quarters I,II,and III,respectively.   The estimated QUARTERLY increase in price is ______,and the estimated ANNUAL increase in price is ______ .</strong> A)$1.50; $6.00 B)$1.40; $4.00 C)$0.60; $2.40 D)$0.80; $3.20 E)none of the above <div style=padding-top: 35px> to forecast doll prices in the year 2014. <strong>The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation   to forecast doll prices in the year 2014.   is the quarterly price of dolls,and   and   are dummy variables for quarters I,II,and III,respectively.   The estimated QUARTERLY increase in price is ______,and the estimated ANNUAL increase in price is ______ .</strong> A)$1.50; $6.00 B)$1.40; $4.00 C)$0.60; $2.40 D)$0.80; $3.20 E)none of the above <div style=padding-top: 35px> is the quarterly price of dolls,and <strong>The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation   to forecast doll prices in the year 2014.   is the quarterly price of dolls,and   and   are dummy variables for quarters I,II,and III,respectively.   The estimated QUARTERLY increase in price is ______,and the estimated ANNUAL increase in price is ______ .</strong> A)$1.50; $6.00 B)$1.40; $4.00 C)$0.60; $2.40 D)$0.80; $3.20 E)none of the above <div style=padding-top: 35px> and <strong>The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation   to forecast doll prices in the year 2014.   is the quarterly price of dolls,and   and   are dummy variables for quarters I,II,and III,respectively.   The estimated QUARTERLY increase in price is ______,and the estimated ANNUAL increase in price is ______ .</strong> A)$1.50; $6.00 B)$1.40; $4.00 C)$0.60; $2.40 D)$0.80; $3.20 E)none of the above <div style=padding-top: 35px> are dummy variables for quarters I,II,and III,respectively. <strong>The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation   to forecast doll prices in the year 2014.   is the quarterly price of dolls,and   and   are dummy variables for quarters I,II,and III,respectively.   The estimated QUARTERLY increase in price is ______,and the estimated ANNUAL increase in price is ______ .</strong> A)$1.50; $6.00 B)$1.40; $4.00 C)$0.60; $2.40 D)$0.80; $3.20 E)none of the above <div style=padding-top: 35px> The estimated QUARTERLY increase in price is ______,and the estimated ANNUAL increase in price is ______ .

A)$1.50; $6.00
B)$1.40; $4.00
C)$0.60; $2.40
D)$0.80; $3.20
E)none of the above
سؤال
The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation <strong>The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation   to forecast doll prices in the year 2014.   is the quarterly price of dolls,and   and   are dummy variables for quarters I,II,and III,respectively.   What is the estimated intercept of the trend line in the 4th quarter?</strong> A)22.8 B)16 C)18 D)20 E)none of the above <div style=padding-top: 35px> to forecast doll prices in the year 2014. <strong>The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation   to forecast doll prices in the year 2014.   is the quarterly price of dolls,and   and   are dummy variables for quarters I,II,and III,respectively.   What is the estimated intercept of the trend line in the 4th quarter?</strong> A)22.8 B)16 C)18 D)20 E)none of the above <div style=padding-top: 35px> is the quarterly price of dolls,and <strong>The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation   to forecast doll prices in the year 2014.   is the quarterly price of dolls,and   and   are dummy variables for quarters I,II,and III,respectively.   What is the estimated intercept of the trend line in the 4th quarter?</strong> A)22.8 B)16 C)18 D)20 E)none of the above <div style=padding-top: 35px> and <strong>The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation   to forecast doll prices in the year 2014.   is the quarterly price of dolls,and   and   are dummy variables for quarters I,II,and III,respectively.   What is the estimated intercept of the trend line in the 4th quarter?</strong> A)22.8 B)16 C)18 D)20 E)none of the above <div style=padding-top: 35px> are dummy variables for quarters I,II,and III,respectively. <strong>The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation   to forecast doll prices in the year 2014.   is the quarterly price of dolls,and   and   are dummy variables for quarters I,II,and III,respectively.   What is the estimated intercept of the trend line in the 4th quarter?</strong> A)22.8 B)16 C)18 D)20 E)none of the above <div style=padding-top: 35px> What is the estimated intercept of the trend line in the 4th quarter?

A)22.8
B)16
C)18
D)20
E)none of the above
سؤال
A forecaster used the regression equation <strong>A forecaster used the regression equation   and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and   and   are dummy variables for quarters I,II,and III.   What is the estimated intercept of the trend line in the fourth quarter?</strong> A)0 B)40 C)55 D)70 E)none of the above <div style=padding-top: 35px> and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and <strong>A forecaster used the regression equation   and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and   and   are dummy variables for quarters I,II,and III.   What is the estimated intercept of the trend line in the fourth quarter?</strong> A)0 B)40 C)55 D)70 E)none of the above <div style=padding-top: 35px> and <strong>A forecaster used the regression equation   and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and   and   are dummy variables for quarters I,II,and III.   What is the estimated intercept of the trend line in the fourth quarter?</strong> A)0 B)40 C)55 D)70 E)none of the above <div style=padding-top: 35px> are dummy variables for quarters I,II,and III. <strong>A forecaster used the regression equation   and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and   and   are dummy variables for quarters I,II,and III.   What is the estimated intercept of the trend line in the fourth quarter?</strong> A)0 B)40 C)55 D)70 E)none of the above <div style=padding-top: 35px> What is the estimated intercept of the trend line in the fourth quarter?

A)0
B)40
C)55
D)70
E)none of the above
سؤال
The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation <strong>The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation   to forecast doll prices in the year 2014.   is the quarterly price of dolls,and   and   are dummy variables for quarters I,II,and III,respectively.   At the 2 percent level of statistical significance,the results indicate that price in the ________ quarter is significantly lower than in any other quarter.</strong> A)1st B)2nd C)3rd D)4th <div style=padding-top: 35px> to forecast doll prices in the year 2014. <strong>The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation   to forecast doll prices in the year 2014.   is the quarterly price of dolls,and   and   are dummy variables for quarters I,II,and III,respectively.   At the 2 percent level of statistical significance,the results indicate that price in the ________ quarter is significantly lower than in any other quarter.</strong> A)1st B)2nd C)3rd D)4th <div style=padding-top: 35px> is the quarterly price of dolls,and <strong>The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation   to forecast doll prices in the year 2014.   is the quarterly price of dolls,and   and   are dummy variables for quarters I,II,and III,respectively.   At the 2 percent level of statistical significance,the results indicate that price in the ________ quarter is significantly lower than in any other quarter.</strong> A)1st B)2nd C)3rd D)4th <div style=padding-top: 35px> and <strong>The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation   to forecast doll prices in the year 2014.   is the quarterly price of dolls,and   and   are dummy variables for quarters I,II,and III,respectively.   At the 2 percent level of statistical significance,the results indicate that price in the ________ quarter is significantly lower than in any other quarter.</strong> A)1st B)2nd C)3rd D)4th <div style=padding-top: 35px> are dummy variables for quarters I,II,and III,respectively. <strong>The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation   to forecast doll prices in the year 2014.   is the quarterly price of dolls,and   and   are dummy variables for quarters I,II,and III,respectively.   At the 2 percent level of statistical significance,the results indicate that price in the ________ quarter is significantly lower than in any other quarter.</strong> A)1st B)2nd C)3rd D)4th <div style=padding-top: 35px> At the 2 percent level of statistical significance,the results indicate that price in the ________ quarter is significantly lower than in any other quarter.

A)1st
B)2nd
C)3rd
D)4th
سؤال
The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation <strong>The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation   to forecast doll prices in the year 2014.   is the quarterly price of dolls,and   and   are dummy variables for quarters I,II,and III,respectively.   In any given year price tends to vary from quarter to quarter as follows:</strong> A)P<sub>I</sub> > P<sub>II</sub> > P<sub>III</sub> > P<sub>IV</sub> B)P<sub>I</sub> > P<sub>IV</sub> > P<sub>III</sub> > P<sub>II</sub> C)P<sub>II</sub> > P<sub>III</sub> > P<sub>IV</sub> > P<sub>I</sub> D)P<sub>III</sub> > P<sub>I</sub> > P<sub>II</sub> > P<sub>IV</sub> E)P<sub>IV</sub> > P<sub>III</sub> > P<sub>II</sub> > P<sub>I</sub> <div style=padding-top: 35px> to forecast doll prices in the year 2014. <strong>The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation   to forecast doll prices in the year 2014.   is the quarterly price of dolls,and   and   are dummy variables for quarters I,II,and III,respectively.   In any given year price tends to vary from quarter to quarter as follows:</strong> A)P<sub>I</sub> > P<sub>II</sub> > P<sub>III</sub> > P<sub>IV</sub> B)P<sub>I</sub> > P<sub>IV</sub> > P<sub>III</sub> > P<sub>II</sub> C)P<sub>II</sub> > P<sub>III</sub> > P<sub>IV</sub> > P<sub>I</sub> D)P<sub>III</sub> > P<sub>I</sub> > P<sub>II</sub> > P<sub>IV</sub> E)P<sub>IV</sub> > P<sub>III</sub> > P<sub>II</sub> > P<sub>I</sub> <div style=padding-top: 35px> is the quarterly price of dolls,and <strong>The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation   to forecast doll prices in the year 2014.   is the quarterly price of dolls,and   and   are dummy variables for quarters I,II,and III,respectively.   In any given year price tends to vary from quarter to quarter as follows:</strong> A)P<sub>I</sub> > P<sub>II</sub> > P<sub>III</sub> > P<sub>IV</sub> B)P<sub>I</sub> > P<sub>IV</sub> > P<sub>III</sub> > P<sub>II</sub> C)P<sub>II</sub> > P<sub>III</sub> > P<sub>IV</sub> > P<sub>I</sub> D)P<sub>III</sub> > P<sub>I</sub> > P<sub>II</sub> > P<sub>IV</sub> E)P<sub>IV</sub> > P<sub>III</sub> > P<sub>II</sub> > P<sub>I</sub> <div style=padding-top: 35px> and <strong>The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation   to forecast doll prices in the year 2014.   is the quarterly price of dolls,and   and   are dummy variables for quarters I,II,and III,respectively.   In any given year price tends to vary from quarter to quarter as follows:</strong> A)P<sub>I</sub> > P<sub>II</sub> > P<sub>III</sub> > P<sub>IV</sub> B)P<sub>I</sub> > P<sub>IV</sub> > P<sub>III</sub> > P<sub>II</sub> C)P<sub>II</sub> > P<sub>III</sub> > P<sub>IV</sub> > P<sub>I</sub> D)P<sub>III</sub> > P<sub>I</sub> > P<sub>II</sub> > P<sub>IV</sub> E)P<sub>IV</sub> > P<sub>III</sub> > P<sub>II</sub> > P<sub>I</sub> <div style=padding-top: 35px> are dummy variables for quarters I,II,and III,respectively. <strong>The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation   to forecast doll prices in the year 2014.   is the quarterly price of dolls,and   and   are dummy variables for quarters I,II,and III,respectively.   In any given year price tends to vary from quarter to quarter as follows:</strong> A)P<sub>I</sub> > P<sub>II</sub> > P<sub>III</sub> > P<sub>IV</sub> B)P<sub>I</sub> > P<sub>IV</sub> > P<sub>III</sub> > P<sub>II</sub> C)P<sub>II</sub> > P<sub>III</sub> > P<sub>IV</sub> > P<sub>I</sub> D)P<sub>III</sub> > P<sub>I</sub> > P<sub>II</sub> > P<sub>IV</sub> E)P<sub>IV</sub> > P<sub>III</sub> > P<sub>II</sub> > P<sub>I</sub> <div style=padding-top: 35px> In any given year price tends to vary from quarter to quarter as follows:

A)PI > PII > PIII > PIV
B)PI > PIV > PIII > PII
C)PII > PIII > PIV > PI
D)PIII > PI > PII > PIV
E)PIV > PIII > PII > PI
سؤال
The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation <strong>The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation   to forecast doll prices in the year 2014.   is the quarterly price of dolls,and   and   are dummy variables for quarters I,II,and III,respectively.   Using the estimated time-series regression,predicted price in the 2nd quarter of 2014 is</strong> A)$48.40 B)$54.40 C)$40.40 D)$51.40 E)none of the above <div style=padding-top: 35px> to forecast doll prices in the year 2014. <strong>The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation   to forecast doll prices in the year 2014.   is the quarterly price of dolls,and   and   are dummy variables for quarters I,II,and III,respectively.   Using the estimated time-series regression,predicted price in the 2nd quarter of 2014 is</strong> A)$48.40 B)$54.40 C)$40.40 D)$51.40 E)none of the above <div style=padding-top: 35px> is the quarterly price of dolls,and <strong>The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation   to forecast doll prices in the year 2014.   is the quarterly price of dolls,and   and   are dummy variables for quarters I,II,and III,respectively.   Using the estimated time-series regression,predicted price in the 2nd quarter of 2014 is</strong> A)$48.40 B)$54.40 C)$40.40 D)$51.40 E)none of the above <div style=padding-top: 35px> and <strong>The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation   to forecast doll prices in the year 2014.   is the quarterly price of dolls,and   and   are dummy variables for quarters I,II,and III,respectively.   Using the estimated time-series regression,predicted price in the 2nd quarter of 2014 is</strong> A)$48.40 B)$54.40 C)$40.40 D)$51.40 E)none of the above <div style=padding-top: 35px> are dummy variables for quarters I,II,and III,respectively. <strong>The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation   to forecast doll prices in the year 2014.   is the quarterly price of dolls,and   and   are dummy variables for quarters I,II,and III,respectively.   Using the estimated time-series regression,predicted price in the 2nd quarter of 2014 is</strong> A)$48.40 B)$54.40 C)$40.40 D)$51.40 E)none of the above <div style=padding-top: 35px> Using the estimated time-series regression,predicted price in the 2nd quarter of 2014 is

A)$48.40
B)$54.40
C)$40.40
D)$51.40
E)none of the above
سؤال
The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation <strong>The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation   to forecast doll prices in the year 2014.   is the quarterly price of dolls,and   and   are dummy variables for quarters I,II,and III,respectively.   Using the estimated time-series regression,predicted price in the 1st quarter of 2014 is</strong> A)$53.60. B)$45.60. C)$56.00. D)$37.60. E)none of the above <div style=padding-top: 35px> to forecast doll prices in the year 2014. <strong>The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation   to forecast doll prices in the year 2014.   is the quarterly price of dolls,and   and   are dummy variables for quarters I,II,and III,respectively.   Using the estimated time-series regression,predicted price in the 1st quarter of 2014 is</strong> A)$53.60. B)$45.60. C)$56.00. D)$37.60. E)none of the above <div style=padding-top: 35px> is the quarterly price of dolls,and <strong>The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation   to forecast doll prices in the year 2014.   is the quarterly price of dolls,and   and   are dummy variables for quarters I,II,and III,respectively.   Using the estimated time-series regression,predicted price in the 1st quarter of 2014 is</strong> A)$53.60. B)$45.60. C)$56.00. D)$37.60. E)none of the above <div style=padding-top: 35px> and <strong>The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation   to forecast doll prices in the year 2014.   is the quarterly price of dolls,and   and   are dummy variables for quarters I,II,and III,respectively.   Using the estimated time-series regression,predicted price in the 1st quarter of 2014 is</strong> A)$53.60. B)$45.60. C)$56.00. D)$37.60. E)none of the above <div style=padding-top: 35px> are dummy variables for quarters I,II,and III,respectively. <strong>The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation   to forecast doll prices in the year 2014.   is the quarterly price of dolls,and   and   are dummy variables for quarters I,II,and III,respectively.   Using the estimated time-series regression,predicted price in the 1st quarter of 2014 is</strong> A)$53.60. B)$45.60. C)$56.00. D)$37.60. E)none of the above <div style=padding-top: 35px> Using the estimated time-series regression,predicted price in the 1st quarter of 2014 is

A)$53.60.
B)$45.60.
C)$56.00.
D)$37.60.
E)none of the above
سؤال
The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation <strong>The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation   to forecast doll prices in the year 2014.   is the quarterly price of dolls,and   and   are dummy variables for quarters I,II,and III,respectively.   At the 2 percent level of statistical significance,the estimation results indicate that price in the ________ quarter is significantly higher than in any other quarter.</strong> A)1st B)2nd C)3rd D)4th <div style=padding-top: 35px> to forecast doll prices in the year 2014. <strong>The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation   to forecast doll prices in the year 2014.   is the quarterly price of dolls,and   and   are dummy variables for quarters I,II,and III,respectively.   At the 2 percent level of statistical significance,the estimation results indicate that price in the ________ quarter is significantly higher than in any other quarter.</strong> A)1st B)2nd C)3rd D)4th <div style=padding-top: 35px> is the quarterly price of dolls,and <strong>The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation   to forecast doll prices in the year 2014.   is the quarterly price of dolls,and   and   are dummy variables for quarters I,II,and III,respectively.   At the 2 percent level of statistical significance,the estimation results indicate that price in the ________ quarter is significantly higher than in any other quarter.</strong> A)1st B)2nd C)3rd D)4th <div style=padding-top: 35px> and <strong>The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation   to forecast doll prices in the year 2014.   is the quarterly price of dolls,and   and   are dummy variables for quarters I,II,and III,respectively.   At the 2 percent level of statistical significance,the estimation results indicate that price in the ________ quarter is significantly higher than in any other quarter.</strong> A)1st B)2nd C)3rd D)4th <div style=padding-top: 35px> are dummy variables for quarters I,II,and III,respectively. <strong>The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation   to forecast doll prices in the year 2014.   is the quarterly price of dolls,and   and   are dummy variables for quarters I,II,and III,respectively.   At the 2 percent level of statistical significance,the estimation results indicate that price in the ________ quarter is significantly higher than in any other quarter.</strong> A)1st B)2nd C)3rd D)4th <div style=padding-top: 35px> At the 2 percent level of statistical significance,the estimation results indicate that price in the ________ quarter is significantly higher than in any other quarter.

A)1st
B)2nd
C)3rd
D)4th
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Deck 7: Demand Estimation and Forecasting
1
a.complements since the coefficient on M is positive.
b.substitutes since the coefficient on M is positive.
c.complements since the coefficient on <strong>a.complements since the coefficient on M is positive. b.substitutes since the coefficient on M is positive. c.complements since the coefficient on   is positive. d.substitutes since the coefficient on   is positive. The estimated demand for a good is   where Q is the quantity demanded of the good,P is the price of the good,M is income,and   is the price of related good R.This good and good R are</strong> A)complements since the coefficient on M is negative. B)substitutes since the coefficient on M is negative. C)complements since the coefficient on   is negative. D)substitutes since the coefficient on   is negative. E)none of the above is positive.
d.substitutes since the coefficient on <strong>a.complements since the coefficient on M is positive. b.substitutes since the coefficient on M is positive. c.complements since the coefficient on   is positive. d.substitutes since the coefficient on   is positive. The estimated demand for a good is   where Q is the quantity demanded of the good,P is the price of the good,M is income,and   is the price of related good R.This good and good R are</strong> A)complements since the coefficient on M is negative. B)substitutes since the coefficient on M is negative. C)complements since the coefficient on   is negative. D)substitutes since the coefficient on   is negative. E)none of the above is positive.
The estimated demand for a good is <strong>a.complements since the coefficient on M is positive. b.substitutes since the coefficient on M is positive. c.complements since the coefficient on   is positive. d.substitutes since the coefficient on   is positive. The estimated demand for a good is   where Q is the quantity demanded of the good,P is the price of the good,M is income,and   is the price of related good R.This good and good R are</strong> A)complements since the coefficient on M is negative. B)substitutes since the coefficient on M is negative. C)complements since the coefficient on   is negative. D)substitutes since the coefficient on   is negative. E)none of the above where Q is the quantity demanded of the good,P is the price of the good,M is income,and <strong>a.complements since the coefficient on M is positive. b.substitutes since the coefficient on M is positive. c.complements since the coefficient on   is positive. d.substitutes since the coefficient on   is positive. The estimated demand for a good is   where Q is the quantity demanded of the good,P is the price of the good,M is income,and   is the price of related good R.This good and good R are</strong> A)complements since the coefficient on M is negative. B)substitutes since the coefficient on M is negative. C)complements since the coefficient on   is negative. D)substitutes since the coefficient on   is negative. E)none of the above is the price of related good R.This good and good R are

A)complements since the coefficient on M is negative.
B)substitutes since the coefficient on M is negative.
C)complements since the coefficient on <strong>a.complements since the coefficient on M is positive. b.substitutes since the coefficient on M is positive. c.complements since the coefficient on   is positive. d.substitutes since the coefficient on   is positive. The estimated demand for a good is   where Q is the quantity demanded of the good,P is the price of the good,M is income,and   is the price of related good R.This good and good R are</strong> A)complements since the coefficient on M is negative. B)substitutes since the coefficient on M is negative. C)complements since the coefficient on   is negative. D)substitutes since the coefficient on   is negative. E)none of the above is negative.
D)substitutes since the coefficient on <strong>a.complements since the coefficient on M is positive. b.substitutes since the coefficient on M is positive. c.complements since the coefficient on   is positive. d.substitutes since the coefficient on   is positive. The estimated demand for a good is   where Q is the quantity demanded of the good,P is the price of the good,M is income,and   is the price of related good R.This good and good R are</strong> A)complements since the coefficient on M is negative. B)substitutes since the coefficient on M is negative. C)complements since the coefficient on   is negative. D)substitutes since the coefficient on   is negative. E)none of the above is negative.
E)none of the above
C
2
problem with consumer interviews is that

A)the sample may not be a representative sample.
B)response bias.
C)interviews allow for rapid turnaround.
D)both a and b
E)all of the above
D
3
If demand is estimated using the empirical specification <strong>If demand is estimated using the empirical specification   ,then an equivalent expression for demand is</strong> A)   . B)   . C)   . D)   . E)none of the above ,then an equivalent expression for demand is

A) <strong>If demand is estimated using the empirical specification   ,then an equivalent expression for demand is</strong> A)   . B)   . C)   . D)   . E)none of the above .
B) <strong>If demand is estimated using the empirical specification   ,then an equivalent expression for demand is</strong> A)   . B)   . C)   . D)   . E)none of the above .
C) <strong>If demand is estimated using the empirical specification   ,then an equivalent expression for demand is</strong> A)   . B)   . C)   . D)   . E)none of the above .
D) <strong>If demand is estimated using the empirical specification   ,then an equivalent expression for demand is</strong> A)   . B)   . C)   . D)   . E)none of the above .
E)none of the above
E
4
estimated demand for a good is <strong>estimated demand for a good is   where Q is the quantity demanded of the good,P is the price of the good,M is income,and   is the price of related good R.The coefficient on P</strong> A)does not have the expected sign. B)is negative as expected. C)should have the same sign as the coefficient on   . D)should not be greater than one in absolute value). E)both b and d where Q is the quantity demanded of the good,P is the price of the good,M is income,and <strong>estimated demand for a good is   where Q is the quantity demanded of the good,P is the price of the good,M is income,and   is the price of related good R.The coefficient on P</strong> A)does not have the expected sign. B)is negative as expected. C)should have the same sign as the coefficient on   . D)should not be greater than one in absolute value). E)both b and d is the price of related good R.The coefficient on P

A)does not have the expected sign.
B)is negative as expected.
C)should have the same sign as the coefficient on <strong>estimated demand for a good is   where Q is the quantity demanded of the good,P is the price of the good,M is income,and   is the price of related good R.The coefficient on P</strong> A)does not have the expected sign. B)is negative as expected. C)should have the same sign as the coefficient on   . D)should not be greater than one in absolute value). E)both b and d .
D)should not be greater than one in absolute value).
E)both b and d
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a.complements since the coefficient on M is positive.
b.substitutes since the coefficient on M is positive.
c.complements since the coefficient on <strong>a.complements since the coefficient on M is positive. b.substitutes since the coefficient on M is positive. c.complements since the coefficient on   is positive. d.substitutes since the coefficient on   is positive. estimated demand for a good is   where Q is the quantity demanded of the good,P is the price of the good,M is income,and   is the price of related good R.The coefficient on P</strong> A)violates the law of demand. B)is negative as dictated by the law of demand. C)should not be greater than one in absolute value). D)should have the same sign as the coefficient on   . E)both c and d is positive.
d.substitutes since the coefficient on <strong>a.complements since the coefficient on M is positive. b.substitutes since the coefficient on M is positive. c.complements since the coefficient on   is positive. d.substitutes since the coefficient on   is positive. estimated demand for a good is   where Q is the quantity demanded of the good,P is the price of the good,M is income,and   is the price of related good R.The coefficient on P</strong> A)violates the law of demand. B)is negative as dictated by the law of demand. C)should not be greater than one in absolute value). D)should have the same sign as the coefficient on   . E)both c and d is positive.
estimated demand for a good is <strong>a.complements since the coefficient on M is positive. b.substitutes since the coefficient on M is positive. c.complements since the coefficient on   is positive. d.substitutes since the coefficient on   is positive. estimated demand for a good is   where Q is the quantity demanded of the good,P is the price of the good,M is income,and   is the price of related good R.The coefficient on P</strong> A)violates the law of demand. B)is negative as dictated by the law of demand. C)should not be greater than one in absolute value). D)should have the same sign as the coefficient on   . E)both c and d where Q is the quantity demanded of the good,P is the price of the good,M is income,and <strong>a.complements since the coefficient on M is positive. b.substitutes since the coefficient on M is positive. c.complements since the coefficient on   is positive. d.substitutes since the coefficient on   is positive. estimated demand for a good is   where Q is the quantity demanded of the good,P is the price of the good,M is income,and   is the price of related good R.The coefficient on P</strong> A)violates the law of demand. B)is negative as dictated by the law of demand. C)should not be greater than one in absolute value). D)should have the same sign as the coefficient on   . E)both c and d is the price of related good R.The coefficient on P

A)violates the law of demand.
B)is negative as dictated by the law of demand.
C)should not be greater than one in absolute value).
D)should have the same sign as the coefficient on <strong>a.complements since the coefficient on M is positive. b.substitutes since the coefficient on M is positive. c.complements since the coefficient on   is positive. d.substitutes since the coefficient on   is positive. estimated demand for a good is   where Q is the quantity demanded of the good,P is the price of the good,M is income,and   is the price of related good R.The coefficient on P</strong> A)violates the law of demand. B)is negative as dictated by the law of demand. C)should not be greater than one in absolute value). D)should have the same sign as the coefficient on   . E)both c and d .
E)both c and d
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a.complements since the coefficient on M is positive.
b.substitutes since the coefficient on M is positive.
c.complements since the coefficient on <strong>a.complements since the coefficient on M is positive. b.substitutes since the coefficient on M is positive. c.complements since the coefficient on   is positive. d.substitutes since the coefficient on   is positive. The estimated demand for a good is   where Q is the quantity demanded of the good,P is the price of the good,M is income,and   is the price of related good R.If the price of the good rises by $10,all else constant,the quantity demanded will ________ by ________ units.</strong> A)increase; 16 units B)decrease; 160 units C)decrease; 1.5 units D)increase; 150 units is positive.
d.substitutes since the coefficient on <strong>a.complements since the coefficient on M is positive. b.substitutes since the coefficient on M is positive. c.complements since the coefficient on   is positive. d.substitutes since the coefficient on   is positive. The estimated demand for a good is   where Q is the quantity demanded of the good,P is the price of the good,M is income,and   is the price of related good R.If the price of the good rises by $10,all else constant,the quantity demanded will ________ by ________ units.</strong> A)increase; 16 units B)decrease; 160 units C)decrease; 1.5 units D)increase; 150 units is positive.
The estimated demand for a good is <strong>a.complements since the coefficient on M is positive. b.substitutes since the coefficient on M is positive. c.complements since the coefficient on   is positive. d.substitutes since the coefficient on   is positive. The estimated demand for a good is   where Q is the quantity demanded of the good,P is the price of the good,M is income,and   is the price of related good R.If the price of the good rises by $10,all else constant,the quantity demanded will ________ by ________ units.</strong> A)increase; 16 units B)decrease; 160 units C)decrease; 1.5 units D)increase; 150 units where Q is the quantity demanded of the good,P is the price of the good,M is income,and <strong>a.complements since the coefficient on M is positive. b.substitutes since the coefficient on M is positive. c.complements since the coefficient on   is positive. d.substitutes since the coefficient on   is positive. The estimated demand for a good is   where Q is the quantity demanded of the good,P is the price of the good,M is income,and   is the price of related good R.If the price of the good rises by $10,all else constant,the quantity demanded will ________ by ________ units.</strong> A)increase; 16 units B)decrease; 160 units C)decrease; 1.5 units D)increase; 150 units is the price of related good R.If the price of the good rises by $10,all else constant,the quantity demanded will ________ by ________ units.

A)increase; 16 units
B)decrease; 160 units
C)decrease; 1.5 units
D)increase; 150 units
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Build-Right Concrete Products produces specialty cement used in construction of highways.Build-Right is a price-setting firm and estimates the demand for its cement by the State Highway Department using a demand function in the nonlinear form: <strong>Build-Right Concrete Products produces specialty cement used in construction of highways.Build-Right is a price-setting firm and estimates the demand for its cement by the State Highway Department using a demand function in the nonlinear form:   where Q = yards of cement demanded monthly,P = the price of Build-Right's cement per yard,M = state tax revenues per capita,and   = the price of asphalt per yard.The manager at Build-Right transforms the nonlinear relation into a linear relation for estimation.The estimation results are presented below:   Given the above,the estimated demand for cement is</strong> A)elastic because   = -4.0. B)elastic because   = -2.0. C)elastic because   = -1.5. D)inelastic because   = -0.32. E)inelastic because   = -0.8. where Q = yards of cement demanded monthly,P = the price of Build-Right's cement per yard,M = state tax revenues per capita,and <strong>Build-Right Concrete Products produces specialty cement used in construction of highways.Build-Right is a price-setting firm and estimates the demand for its cement by the State Highway Department using a demand function in the nonlinear form:   where Q = yards of cement demanded monthly,P = the price of Build-Right's cement per yard,M = state tax revenues per capita,and   = the price of asphalt per yard.The manager at Build-Right transforms the nonlinear relation into a linear relation for estimation.The estimation results are presented below:   Given the above,the estimated demand for cement is</strong> A)elastic because   = -4.0. B)elastic because   = -2.0. C)elastic because   = -1.5. D)inelastic because   = -0.32. E)inelastic because   = -0.8. = the price of asphalt per yard.The manager at Build-Right transforms the nonlinear relation into a linear relation for estimation.The estimation results are presented below: <strong>Build-Right Concrete Products produces specialty cement used in construction of highways.Build-Right is a price-setting firm and estimates the demand for its cement by the State Highway Department using a demand function in the nonlinear form:   where Q = yards of cement demanded monthly,P = the price of Build-Right's cement per yard,M = state tax revenues per capita,and   = the price of asphalt per yard.The manager at Build-Right transforms the nonlinear relation into a linear relation for estimation.The estimation results are presented below:   Given the above,the estimated demand for cement is</strong> A)elastic because   = -4.0. B)elastic because   = -2.0. C)elastic because   = -1.5. D)inelastic because   = -0.32. E)inelastic because   = -0.8. Given the above,the estimated demand for cement is

A)elastic because <strong>Build-Right Concrete Products produces specialty cement used in construction of highways.Build-Right is a price-setting firm and estimates the demand for its cement by the State Highway Department using a demand function in the nonlinear form:   where Q = yards of cement demanded monthly,P = the price of Build-Right's cement per yard,M = state tax revenues per capita,and   = the price of asphalt per yard.The manager at Build-Right transforms the nonlinear relation into a linear relation for estimation.The estimation results are presented below:   Given the above,the estimated demand for cement is</strong> A)elastic because   = -4.0. B)elastic because   = -2.0. C)elastic because   = -1.5. D)inelastic because   = -0.32. E)inelastic because   = -0.8. = -4.0.
B)elastic because <strong>Build-Right Concrete Products produces specialty cement used in construction of highways.Build-Right is a price-setting firm and estimates the demand for its cement by the State Highway Department using a demand function in the nonlinear form:   where Q = yards of cement demanded monthly,P = the price of Build-Right's cement per yard,M = state tax revenues per capita,and   = the price of asphalt per yard.The manager at Build-Right transforms the nonlinear relation into a linear relation for estimation.The estimation results are presented below:   Given the above,the estimated demand for cement is</strong> A)elastic because   = -4.0. B)elastic because   = -2.0. C)elastic because   = -1.5. D)inelastic because   = -0.32. E)inelastic because   = -0.8. = -2.0.
C)elastic because <strong>Build-Right Concrete Products produces specialty cement used in construction of highways.Build-Right is a price-setting firm and estimates the demand for its cement by the State Highway Department using a demand function in the nonlinear form:   where Q = yards of cement demanded monthly,P = the price of Build-Right's cement per yard,M = state tax revenues per capita,and   = the price of asphalt per yard.The manager at Build-Right transforms the nonlinear relation into a linear relation for estimation.The estimation results are presented below:   Given the above,the estimated demand for cement is</strong> A)elastic because   = -4.0. B)elastic because   = -2.0. C)elastic because   = -1.5. D)inelastic because   = -0.32. E)inelastic because   = -0.8. = -1.5.
D)inelastic because <strong>Build-Right Concrete Products produces specialty cement used in construction of highways.Build-Right is a price-setting firm and estimates the demand for its cement by the State Highway Department using a demand function in the nonlinear form:   where Q = yards of cement demanded monthly,P = the price of Build-Right's cement per yard,M = state tax revenues per capita,and   = the price of asphalt per yard.The manager at Build-Right transforms the nonlinear relation into a linear relation for estimation.The estimation results are presented below:   Given the above,the estimated demand for cement is</strong> A)elastic because   = -4.0. B)elastic because   = -2.0. C)elastic because   = -1.5. D)inelastic because   = -0.32. E)inelastic because   = -0.8. = -0.32.
E)inelastic because <strong>Build-Right Concrete Products produces specialty cement used in construction of highways.Build-Right is a price-setting firm and estimates the demand for its cement by the State Highway Department using a demand function in the nonlinear form:   where Q = yards of cement demanded monthly,P = the price of Build-Right's cement per yard,M = state tax revenues per capita,and   = the price of asphalt per yard.The manager at Build-Right transforms the nonlinear relation into a linear relation for estimation.The estimation results are presented below:   Given the above,the estimated demand for cement is</strong> A)elastic because   = -4.0. B)elastic because   = -2.0. C)elastic because   = -1.5. D)inelastic because   = -0.32. E)inelastic because   = -0.8. = -0.8.
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a.complements since the coefficient on M is positive.
b.substitutes since the coefficient on M is positive.
c.complements since the coefficient on <strong>a.complements since the coefficient on M is positive. b.substitutes since the coefficient on M is positive. c.complements since the coefficient on   is positive. d.substitutes since the coefficient on   is positive. estimated demand for a good is   where Q is the quantity demanded of the good,P is the price of the good,M is income,and   is the price of related good R.If income decreases by $1,000,all else constant,quantity demanded will ________ by _________ units.</strong> A)decrease; 320 units B)increase; 3.2 units C)decrease; 1200 units D)increase; 500 units E)decrease; 500 units is positive.
d.substitutes since the coefficient on <strong>a.complements since the coefficient on M is positive. b.substitutes since the coefficient on M is positive. c.complements since the coefficient on   is positive. d.substitutes since the coefficient on   is positive. estimated demand for a good is   where Q is the quantity demanded of the good,P is the price of the good,M is income,and   is the price of related good R.If income decreases by $1,000,all else constant,quantity demanded will ________ by _________ units.</strong> A)decrease; 320 units B)increase; 3.2 units C)decrease; 1200 units D)increase; 500 units E)decrease; 500 units is positive.
estimated demand for a good is <strong>a.complements since the coefficient on M is positive. b.substitutes since the coefficient on M is positive. c.complements since the coefficient on   is positive. d.substitutes since the coefficient on   is positive. estimated demand for a good is   where Q is the quantity demanded of the good,P is the price of the good,M is income,and   is the price of related good R.If income decreases by $1,000,all else constant,quantity demanded will ________ by _________ units.</strong> A)decrease; 320 units B)increase; 3.2 units C)decrease; 1200 units D)increase; 500 units E)decrease; 500 units where Q is the quantity demanded of the good,P is the price of the good,M is income,and <strong>a.complements since the coefficient on M is positive. b.substitutes since the coefficient on M is positive. c.complements since the coefficient on   is positive. d.substitutes since the coefficient on   is positive. estimated demand for a good is   where Q is the quantity demanded of the good,P is the price of the good,M is income,and   is the price of related good R.If income decreases by $1,000,all else constant,quantity demanded will ________ by _________ units.</strong> A)decrease; 320 units B)increase; 3.2 units C)decrease; 1200 units D)increase; 500 units E)decrease; 500 units is the price of related good R.If income decreases by $1,000,all else constant,quantity demanded will ________ by _________ units.

A)decrease; 320 units
B)increase; 3.2 units
C)decrease; 1200 units
D)increase; 500 units
E)decrease; 500 units
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Build-Right Concrete Products produces specialty cement used in construction of highways.Build-Right is a price-setting firm and estimates the demand for its cement by the State Highway Department using a demand function in the nonlinear form: <strong>Build-Right Concrete Products produces specialty cement used in construction of highways.Build-Right is a price-setting firm and estimates the demand for its cement by the State Highway Department using a demand function in the nonlinear form:   where Q = yards of cement demanded monthly,P = the price of Build-Right's cement per yard,M = state tax revenues per capita,and   = the price of asphalt per yard.The manager at Build-Right transforms the nonlinear relation into a linear relation for estimation.The estimation results are presented below:   Given the above,the estimated cross-price elasticity of demand for cement relative to the price of asphalt is</strong> A)0.3 B)0.6 C)1.2 D)3.0 E)none of the above where Q = yards of cement demanded monthly,P = the price of Build-Right's cement per yard,M = state tax revenues per capita,and <strong>Build-Right Concrete Products produces specialty cement used in construction of highways.Build-Right is a price-setting firm and estimates the demand for its cement by the State Highway Department using a demand function in the nonlinear form:   where Q = yards of cement demanded monthly,P = the price of Build-Right's cement per yard,M = state tax revenues per capita,and   = the price of asphalt per yard.The manager at Build-Right transforms the nonlinear relation into a linear relation for estimation.The estimation results are presented below:   Given the above,the estimated cross-price elasticity of demand for cement relative to the price of asphalt is</strong> A)0.3 B)0.6 C)1.2 D)3.0 E)none of the above = the price of asphalt per yard.The manager at Build-Right transforms the nonlinear relation into a linear relation for estimation.The estimation results are presented below: <strong>Build-Right Concrete Products produces specialty cement used in construction of highways.Build-Right is a price-setting firm and estimates the demand for its cement by the State Highway Department using a demand function in the nonlinear form:   where Q = yards of cement demanded monthly,P = the price of Build-Right's cement per yard,M = state tax revenues per capita,and   = the price of asphalt per yard.The manager at Build-Right transforms the nonlinear relation into a linear relation for estimation.The estimation results are presented below:   Given the above,the estimated cross-price elasticity of demand for cement relative to the price of asphalt is</strong> A)0.3 B)0.6 C)1.2 D)3.0 E)none of the above Given the above,the estimated cross-price elasticity of demand for cement relative to the price of asphalt is

A)0.3
B)0.6
C)1.2
D)3.0
E)none of the above
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a.complements since the coefficient on M is positive.
b.substitutes since the coefficient on M is positive.
c.complements since the coefficient on <strong>a.complements since the coefficient on M is positive. b.substitutes since the coefficient on M is positive. c.complements since the coefficient on   is positive. d.substitutes since the coefficient on   is positive. The estimated demand for a good is   where Q is the quantity demanded of the good,P is the price of the good,M is income,and   is the price of related good R.The good is</strong> A)an inferior good since the coefficient on   is negative. B)a normal good since the coefficient on   is negative. C)a normal good since the coefficient on M is greater than one in absolute value). D)an inferior good since the coefficient on M is negative. E)none of the above is positive.
d.substitutes since the coefficient on <strong>a.complements since the coefficient on M is positive. b.substitutes since the coefficient on M is positive. c.complements since the coefficient on   is positive. d.substitutes since the coefficient on   is positive. The estimated demand for a good is   where Q is the quantity demanded of the good,P is the price of the good,M is income,and   is the price of related good R.The good is</strong> A)an inferior good since the coefficient on   is negative. B)a normal good since the coefficient on   is negative. C)a normal good since the coefficient on M is greater than one in absolute value). D)an inferior good since the coefficient on M is negative. E)none of the above is positive.
The estimated demand for a good is <strong>a.complements since the coefficient on M is positive. b.substitutes since the coefficient on M is positive. c.complements since the coefficient on   is positive. d.substitutes since the coefficient on   is positive. The estimated demand for a good is   where Q is the quantity demanded of the good,P is the price of the good,M is income,and   is the price of related good R.The good is</strong> A)an inferior good since the coefficient on   is negative. B)a normal good since the coefficient on   is negative. C)a normal good since the coefficient on M is greater than one in absolute value). D)an inferior good since the coefficient on M is negative. E)none of the above where Q is the quantity demanded of the good,P is the price of the good,M is income,and <strong>a.complements since the coefficient on M is positive. b.substitutes since the coefficient on M is positive. c.complements since the coefficient on   is positive. d.substitutes since the coefficient on   is positive. The estimated demand for a good is   where Q is the quantity demanded of the good,P is the price of the good,M is income,and   is the price of related good R.The good is</strong> A)an inferior good since the coefficient on   is negative. B)a normal good since the coefficient on   is negative. C)a normal good since the coefficient on M is greater than one in absolute value). D)an inferior good since the coefficient on M is negative. E)none of the above is the price of related good R.The good is

A)an inferior good since the coefficient on <strong>a.complements since the coefficient on M is positive. b.substitutes since the coefficient on M is positive. c.complements since the coefficient on   is positive. d.substitutes since the coefficient on   is positive. The estimated demand for a good is   where Q is the quantity demanded of the good,P is the price of the good,M is income,and   is the price of related good R.The good is</strong> A)an inferior good since the coefficient on   is negative. B)a normal good since the coefficient on   is negative. C)a normal good since the coefficient on M is greater than one in absolute value). D)an inferior good since the coefficient on M is negative. E)none of the above is negative.
B)a normal good since the coefficient on <strong>a.complements since the coefficient on M is positive. b.substitutes since the coefficient on M is positive. c.complements since the coefficient on   is positive. d.substitutes since the coefficient on   is positive. The estimated demand for a good is   where Q is the quantity demanded of the good,P is the price of the good,M is income,and   is the price of related good R.The good is</strong> A)an inferior good since the coefficient on   is negative. B)a normal good since the coefficient on   is negative. C)a normal good since the coefficient on M is greater than one in absolute value). D)an inferior good since the coefficient on M is negative. E)none of the above is negative.
C)a normal good since the coefficient on M is greater than one in absolute value).
D)an inferior good since the coefficient on M is negative.
E)none of the above
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Possible problems with consumer interviews include:

A)a non-random sample
B)the identification problem
C)response bias
D)both a and b
E)both a and c
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estimated demand for a good is <strong>estimated demand for a good is   where Q is the quantity demanded of the good,P is the price of the good,M is income,and   is the price of related good R.The good is</strong> A)an inferior good since the coefficient on   is positive. B)a normal good since the coefficient on   is positive. C)an inferior good since the coefficient on M is greater than one. D)a normal good since the coefficient on M is positive. E)none of the above where Q is the quantity demanded of the good,P is the price of the good,M is income,and <strong>estimated demand for a good is   where Q is the quantity demanded of the good,P is the price of the good,M is income,and   is the price of related good R.The good is</strong> A)an inferior good since the coefficient on   is positive. B)a normal good since the coefficient on   is positive. C)an inferior good since the coefficient on M is greater than one. D)a normal good since the coefficient on M is positive. E)none of the above is the price of related good R.The good is

A)an inferior good since the coefficient on <strong>estimated demand for a good is   where Q is the quantity demanded of the good,P is the price of the good,M is income,and   is the price of related good R.The good is</strong> A)an inferior good since the coefficient on   is positive. B)a normal good since the coefficient on   is positive. C)an inferior good since the coefficient on M is greater than one. D)a normal good since the coefficient on M is positive. E)none of the above is positive.
B)a normal good since the coefficient on <strong>estimated demand for a good is   where Q is the quantity demanded of the good,P is the price of the good,M is income,and   is the price of related good R.The good is</strong> A)an inferior good since the coefficient on   is positive. B)a normal good since the coefficient on   is positive. C)an inferior good since the coefficient on M is greater than one. D)a normal good since the coefficient on M is positive. E)none of the above is positive.
C)an inferior good since the coefficient on M is greater than one.
D)a normal good since the coefficient on M is positive.
E)none of the above
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estimated demand for a good is estimated demand for a good is   where Q is the quantity demanded of the good,P is the price of the good,M is income,and   is the price of related good R.This good and the related good R are where Q is the quantity demanded of the good,P is the price of the good,M is income,and estimated demand for a good is   where Q is the quantity demanded of the good,P is the price of the good,M is income,and   is the price of related good R.This good and the related good R are is the price of related good R.This good and the related good R are
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Demand equations derived from actual market data are

A)empirical demand functions.
B)never estimated using consumer interviews.
C)generally estimated using regression analysis.
D)both a and c
E)all of the above
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Build-Right Concrete Products produces specialty cement used in construction of highways.Build-Right is a price-setting firm and estimates the demand for its cement by the State Highway Department using a demand function in the nonlinear form: <strong>Build-Right Concrete Products produces specialty cement used in construction of highways.Build-Right is a price-setting firm and estimates the demand for its cement by the State Highway Department using a demand function in the nonlinear form:   where Q = yards of cement demanded monthly,P = the price of Build-Right's cement per yard,M = state tax revenues per capita,and   = the price of asphalt per yard.The manager at Build-Right transforms the nonlinear relation into a linear relation for estimation.The estimation results are presented below:   Given the above,if the price of asphalt   )decreases 20%,the estimated quantity of cement demanded will:</strong> A)increase 12% B)increase 6% C)increase 1.2% D)decrease 12%. E)decrease 1.2%. where Q = yards of cement demanded monthly,P = the price of Build-Right's cement per yard,M = state tax revenues per capita,and <strong>Build-Right Concrete Products produces specialty cement used in construction of highways.Build-Right is a price-setting firm and estimates the demand for its cement by the State Highway Department using a demand function in the nonlinear form:   where Q = yards of cement demanded monthly,P = the price of Build-Right's cement per yard,M = state tax revenues per capita,and   = the price of asphalt per yard.The manager at Build-Right transforms the nonlinear relation into a linear relation for estimation.The estimation results are presented below:   Given the above,if the price of asphalt   )decreases 20%,the estimated quantity of cement demanded will:</strong> A)increase 12% B)increase 6% C)increase 1.2% D)decrease 12%. E)decrease 1.2%. = the price of asphalt per yard.The manager at Build-Right transforms the nonlinear relation into a linear relation for estimation.The estimation results are presented below: <strong>Build-Right Concrete Products produces specialty cement used in construction of highways.Build-Right is a price-setting firm and estimates the demand for its cement by the State Highway Department using a demand function in the nonlinear form:   where Q = yards of cement demanded monthly,P = the price of Build-Right's cement per yard,M = state tax revenues per capita,and   = the price of asphalt per yard.The manager at Build-Right transforms the nonlinear relation into a linear relation for estimation.The estimation results are presented below:   Given the above,if the price of asphalt   )decreases 20%,the estimated quantity of cement demanded will:</strong> A)increase 12% B)increase 6% C)increase 1.2% D)decrease 12%. E)decrease 1.2%. Given the above,if the price of asphalt <strong>Build-Right Concrete Products produces specialty cement used in construction of highways.Build-Right is a price-setting firm and estimates the demand for its cement by the State Highway Department using a demand function in the nonlinear form:   where Q = yards of cement demanded monthly,P = the price of Build-Right's cement per yard,M = state tax revenues per capita,and   = the price of asphalt per yard.The manager at Build-Right transforms the nonlinear relation into a linear relation for estimation.The estimation results are presented below:   Given the above,if the price of asphalt   )decreases 20%,the estimated quantity of cement demanded will:</strong> A)increase 12% B)increase 6% C)increase 1.2% D)decrease 12%. E)decrease 1.2%. )decreases 20%,the estimated quantity of cement demanded will:

A)increase 12%
B)increase 6%
C)increase 1.2%
D)decrease 12%.
E)decrease 1.2%.
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representative sample

A)eliminates the problem of response bias.
B)reflects the characteristics of the population.
C)is frequently a random sample.
D)both b and c
E)all of the above
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a.complements since the coefficient on M is positive.
b.substitutes since the coefficient on M is positive.
c.complements since the coefficient on <strong>a.complements since the coefficient on M is positive. b.substitutes since the coefficient on M is positive. c.complements since the coefficient on   is positive. d.substitutes since the coefficient on   is positive. estimated demand for a good is   where Q is the quantity demanded of the good,P is the price of the good,M is income,and   is the price of related good R.If the price of the good falls by $4,the quantity demanded will ________ by ________ units.</strong> A)increase; 5 units B)increase; 20 units C)increase; 50 units D)increase; 48 units E)decrease; 12 units is positive.
d.substitutes since the coefficient on <strong>a.complements since the coefficient on M is positive. b.substitutes since the coefficient on M is positive. c.complements since the coefficient on   is positive. d.substitutes since the coefficient on   is positive. estimated demand for a good is   where Q is the quantity demanded of the good,P is the price of the good,M is income,and   is the price of related good R.If the price of the good falls by $4,the quantity demanded will ________ by ________ units.</strong> A)increase; 5 units B)increase; 20 units C)increase; 50 units D)increase; 48 units E)decrease; 12 units is positive.
estimated demand for a good is <strong>a.complements since the coefficient on M is positive. b.substitutes since the coefficient on M is positive. c.complements since the coefficient on   is positive. d.substitutes since the coefficient on   is positive. estimated demand for a good is   where Q is the quantity demanded of the good,P is the price of the good,M is income,and   is the price of related good R.If the price of the good falls by $4,the quantity demanded will ________ by ________ units.</strong> A)increase; 5 units B)increase; 20 units C)increase; 50 units D)increase; 48 units E)decrease; 12 units where Q is the quantity demanded of the good,P is the price of the good,M is income,and <strong>a.complements since the coefficient on M is positive. b.substitutes since the coefficient on M is positive. c.complements since the coefficient on   is positive. d.substitutes since the coefficient on   is positive. estimated demand for a good is   where Q is the quantity demanded of the good,P is the price of the good,M is income,and   is the price of related good R.If the price of the good falls by $4,the quantity demanded will ________ by ________ units.</strong> A)increase; 5 units B)increase; 20 units C)increase; 50 units D)increase; 48 units E)decrease; 12 units is the price of related good R.If the price of the good falls by $4,the quantity demanded will ________ by ________ units.

A)increase; 5 units
B)increase; 20 units
C)increase; 50 units
D)increase; 48 units
E)decrease; 12 units
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a.complements since the coefficient on M is positive.
b.substitutes since the coefficient on M is positive.
c.complements since the coefficient on <strong>a.complements since the coefficient on M is positive. b.substitutes since the coefficient on M is positive. c.complements since the coefficient on   is positive. d.substitutes since the coefficient on   is positive. The estimated demand for a good is   where Q is the quantity demanded of the good,P is the price of the good,M is income,and   is the price of related good R.If income decreases by $2,000,all else constant,quantity demanded will ________ by _________ units.</strong> A)increase; 1.30 units B)decrease; 6.5 units C)increase; 1,300 units D)decrease; 65 units is positive.
d.substitutes since the coefficient on <strong>a.complements since the coefficient on M is positive. b.substitutes since the coefficient on M is positive. c.complements since the coefficient on   is positive. d.substitutes since the coefficient on   is positive. The estimated demand for a good is   where Q is the quantity demanded of the good,P is the price of the good,M is income,and   is the price of related good R.If income decreases by $2,000,all else constant,quantity demanded will ________ by _________ units.</strong> A)increase; 1.30 units B)decrease; 6.5 units C)increase; 1,300 units D)decrease; 65 units is positive.
The estimated demand for a good is <strong>a.complements since the coefficient on M is positive. b.substitutes since the coefficient on M is positive. c.complements since the coefficient on   is positive. d.substitutes since the coefficient on   is positive. The estimated demand for a good is   where Q is the quantity demanded of the good,P is the price of the good,M is income,and   is the price of related good R.If income decreases by $2,000,all else constant,quantity demanded will ________ by _________ units.</strong> A)increase; 1.30 units B)decrease; 6.5 units C)increase; 1,300 units D)decrease; 65 units where Q is the quantity demanded of the good,P is the price of the good,M is income,and <strong>a.complements since the coefficient on M is positive. b.substitutes since the coefficient on M is positive. c.complements since the coefficient on   is positive. d.substitutes since the coefficient on   is positive. The estimated demand for a good is   where Q is the quantity demanded of the good,P is the price of the good,M is income,and   is the price of related good R.If income decreases by $2,000,all else constant,quantity demanded will ________ by _________ units.</strong> A)increase; 1.30 units B)decrease; 6.5 units C)increase; 1,300 units D)decrease; 65 units is the price of related good R.If income decreases by $2,000,all else constant,quantity demanded will ________ by _________ units.

A)increase; 1.30 units
B)decrease; 6.5 units
C)increase; 1,300 units
D)decrease; 65 units
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Build-Right Concrete Products produces specialty cement used in construction of highways.Build-Right is a price-setting firm and estimates the demand for its cement by the State Highway Department using a demand function in the nonlinear form: <strong>Build-Right Concrete Products produces specialty cement used in construction of highways.Build-Right is a price-setting firm and estimates the demand for its cement by the State Highway Department using a demand function in the nonlinear form:   where Q = yards of cement demanded monthly,P = the price of Build-Right's cement per yard,M = state tax revenues per capita,and   = the price of asphalt per yard.The manager at Build-Right transforms the nonlinear relation into a linear relation for estimation.The estimation results are presented below:   Given the above,if tax revenue per capita M)increases 5%,the estimated quantity of cement demanded will</strong> A)increase by less than 1%. B)increase more than 1% but less than 5%. C)increase more than 5% but less than 10%. D)increase more than 10%. where Q = yards of cement demanded monthly,P = the price of Build-Right's cement per yard,M = state tax revenues per capita,and <strong>Build-Right Concrete Products produces specialty cement used in construction of highways.Build-Right is a price-setting firm and estimates the demand for its cement by the State Highway Department using a demand function in the nonlinear form:   where Q = yards of cement demanded monthly,P = the price of Build-Right's cement per yard,M = state tax revenues per capita,and   = the price of asphalt per yard.The manager at Build-Right transforms the nonlinear relation into a linear relation for estimation.The estimation results are presented below:   Given the above,if tax revenue per capita M)increases 5%,the estimated quantity of cement demanded will</strong> A)increase by less than 1%. B)increase more than 1% but less than 5%. C)increase more than 5% but less than 10%. D)increase more than 10%. = the price of asphalt per yard.The manager at Build-Right transforms the nonlinear relation into a linear relation for estimation.The estimation results are presented below: <strong>Build-Right Concrete Products produces specialty cement used in construction of highways.Build-Right is a price-setting firm and estimates the demand for its cement by the State Highway Department using a demand function in the nonlinear form:   where Q = yards of cement demanded monthly,P = the price of Build-Right's cement per yard,M = state tax revenues per capita,and   = the price of asphalt per yard.The manager at Build-Right transforms the nonlinear relation into a linear relation for estimation.The estimation results are presented below:   Given the above,if tax revenue per capita M)increases 5%,the estimated quantity of cement demanded will</strong> A)increase by less than 1%. B)increase more than 1% but less than 5%. C)increase more than 5% but less than 10%. D)increase more than 10%. Given the above,if tax revenue per capita M)increases 5%,the estimated quantity of cement demanded will

A)increase by less than 1%.
B)increase more than 1% but less than 5%.
C)increase more than 5% but less than 10%.
D)increase more than 10%.
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Build-Right Concrete Products produces specialty cement used in construction of highways.Build-Right is a price-setting firm and estimates the demand for its cement by the State Highway Department using a demand function in the nonlinear form: <strong>Build-Right Concrete Products produces specialty cement used in construction of highways.Build-Right is a price-setting firm and estimates the demand for its cement by the State Highway Department using a demand function in the nonlinear form:   where Q = yards of cement demanded monthly,P = the price of Build-Right's cement per yard,M = state tax revenues per capita,and   = the price of asphalt per yard.The manager at Build-Right transforms the nonlinear relation into a linear relation for estimation.The estimation results are presented below:   Given the above,at the 1 percent level of significance,the number of degrees of freedom for a t-test is _____,and the critical value of the t-statistic is ________.0Only parameter estimates)________ is are)NOT statistically significant at the 1 percent level of significance.</strong> A)30; 2.457;   B)30; 2.750;   C)34; 2.042;   D)34; 2.042,   and   where Q = yards of cement demanded monthly,P = the price of Build-Right's cement per yard,M = state tax revenues per capita,and <strong>Build-Right Concrete Products produces specialty cement used in construction of highways.Build-Right is a price-setting firm and estimates the demand for its cement by the State Highway Department using a demand function in the nonlinear form:   where Q = yards of cement demanded monthly,P = the price of Build-Right's cement per yard,M = state tax revenues per capita,and   = the price of asphalt per yard.The manager at Build-Right transforms the nonlinear relation into a linear relation for estimation.The estimation results are presented below:   Given the above,at the 1 percent level of significance,the number of degrees of freedom for a t-test is _____,and the critical value of the t-statistic is ________.0Only parameter estimates)________ is are)NOT statistically significant at the 1 percent level of significance.</strong> A)30; 2.457;   B)30; 2.750;   C)34; 2.042;   D)34; 2.042,   and   = the price of asphalt per yard.The manager at Build-Right transforms the nonlinear relation into a linear relation for estimation.The estimation results are presented below: <strong>Build-Right Concrete Products produces specialty cement used in construction of highways.Build-Right is a price-setting firm and estimates the demand for its cement by the State Highway Department using a demand function in the nonlinear form:   where Q = yards of cement demanded monthly,P = the price of Build-Right's cement per yard,M = state tax revenues per capita,and   = the price of asphalt per yard.The manager at Build-Right transforms the nonlinear relation into a linear relation for estimation.The estimation results are presented below:   Given the above,at the 1 percent level of significance,the number of degrees of freedom for a t-test is _____,and the critical value of the t-statistic is ________.0Only parameter estimates)________ is are)NOT statistically significant at the 1 percent level of significance.</strong> A)30; 2.457;   B)30; 2.750;   C)34; 2.042;   D)34; 2.042,   and   Given the above,at the 1 percent level of significance,the number of degrees of freedom for a t-test is _____,and the critical value of the t-statistic is ________.0Only parameter estimates)________ is are)NOT statistically significant at the 1 percent level of significance.

A)30; 2.457; <strong>Build-Right Concrete Products produces specialty cement used in construction of highways.Build-Right is a price-setting firm and estimates the demand for its cement by the State Highway Department using a demand function in the nonlinear form:   where Q = yards of cement demanded monthly,P = the price of Build-Right's cement per yard,M = state tax revenues per capita,and   = the price of asphalt per yard.The manager at Build-Right transforms the nonlinear relation into a linear relation for estimation.The estimation results are presented below:   Given the above,at the 1 percent level of significance,the number of degrees of freedom for a t-test is _____,and the critical value of the t-statistic is ________.0Only parameter estimates)________ is are)NOT statistically significant at the 1 percent level of significance.</strong> A)30; 2.457;   B)30; 2.750;   C)34; 2.042;   D)34; 2.042,   and
B)30; 2.750; <strong>Build-Right Concrete Products produces specialty cement used in construction of highways.Build-Right is a price-setting firm and estimates the demand for its cement by the State Highway Department using a demand function in the nonlinear form:   where Q = yards of cement demanded monthly,P = the price of Build-Right's cement per yard,M = state tax revenues per capita,and   = the price of asphalt per yard.The manager at Build-Right transforms the nonlinear relation into a linear relation for estimation.The estimation results are presented below:   Given the above,at the 1 percent level of significance,the number of degrees of freedom for a t-test is _____,and the critical value of the t-statistic is ________.0Only parameter estimates)________ is are)NOT statistically significant at the 1 percent level of significance.</strong> A)30; 2.457;   B)30; 2.750;   C)34; 2.042;   D)34; 2.042,   and
C)34; 2.042; <strong>Build-Right Concrete Products produces specialty cement used in construction of highways.Build-Right is a price-setting firm and estimates the demand for its cement by the State Highway Department using a demand function in the nonlinear form:   where Q = yards of cement demanded monthly,P = the price of Build-Right's cement per yard,M = state tax revenues per capita,and   = the price of asphalt per yard.The manager at Build-Right transforms the nonlinear relation into a linear relation for estimation.The estimation results are presented below:   Given the above,at the 1 percent level of significance,the number of degrees of freedom for a t-test is _____,and the critical value of the t-statistic is ________.0Only parameter estimates)________ is are)NOT statistically significant at the 1 percent level of significance.</strong> A)30; 2.457;   B)30; 2.750;   C)34; 2.042;   D)34; 2.042,   and
D)34; 2.042, <strong>Build-Right Concrete Products produces specialty cement used in construction of highways.Build-Right is a price-setting firm and estimates the demand for its cement by the State Highway Department using a demand function in the nonlinear form:   where Q = yards of cement demanded monthly,P = the price of Build-Right's cement per yard,M = state tax revenues per capita,and   = the price of asphalt per yard.The manager at Build-Right transforms the nonlinear relation into a linear relation for estimation.The estimation results are presented below:   Given the above,at the 1 percent level of significance,the number of degrees of freedom for a t-test is _____,and the critical value of the t-statistic is ________.0Only parameter estimates)________ is are)NOT statistically significant at the 1 percent level of significance.</strong> A)30; 2.457;   B)30; 2.750;   C)34; 2.042;   D)34; 2.042,   and   and
<strong>Build-Right Concrete Products produces specialty cement used in construction of highways.Build-Right is a price-setting firm and estimates the demand for its cement by the State Highway Department using a demand function in the nonlinear form:   where Q = yards of cement demanded monthly,P = the price of Build-Right's cement per yard,M = state tax revenues per capita,and   = the price of asphalt per yard.The manager at Build-Right transforms the nonlinear relation into a linear relation for estimation.The estimation results are presented below:   Given the above,at the 1 percent level of significance,the number of degrees of freedom for a t-test is _____,and the critical value of the t-statistic is ________.0Only parameter estimates)________ is are)NOT statistically significant at the 1 percent level of significance.</strong> A)30; 2.457;   B)30; 2.750;   C)34; 2.042;   D)34; 2.042,   and
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The following linear demand specification is estimated for Conlan Enterprises,a price-setting firm: <strong>The following linear demand specification is estimated for Conlan Enterprises,a price-setting firm:   where Q is the quantity demanded of the product Conlan Enterprises sells,P is the price of that product,M is income,and   is the price of a related product.The results of the estimation are presented below:   For the next 2 questions suppose income remains at $10,000 but the price of the related good increases to $60 and Conlan decides to raise the price of its product to $50.What is the new own price elasticity of demand?</strong> A)-0.24 B)-0.43 C)-0.87 D)-1.00 E)-1.26 where Q is the quantity demanded of the product Conlan Enterprises sells,P is the price of that product,M is income,and <strong>The following linear demand specification is estimated for Conlan Enterprises,a price-setting firm:   where Q is the quantity demanded of the product Conlan Enterprises sells,P is the price of that product,M is income,and   is the price of a related product.The results of the estimation are presented below:   For the next 2 questions suppose income remains at $10,000 but the price of the related good increases to $60 and Conlan decides to raise the price of its product to $50.What is the new own price elasticity of demand?</strong> A)-0.24 B)-0.43 C)-0.87 D)-1.00 E)-1.26 is the price of a related product.The results of the estimation are presented below: <strong>The following linear demand specification is estimated for Conlan Enterprises,a price-setting firm:   where Q is the quantity demanded of the product Conlan Enterprises sells,P is the price of that product,M is income,and   is the price of a related product.The results of the estimation are presented below:   For the next 2 questions suppose income remains at $10,000 but the price of the related good increases to $60 and Conlan decides to raise the price of its product to $50.What is the new own price elasticity of demand?</strong> A)-0.24 B)-0.43 C)-0.87 D)-1.00 E)-1.26 For the next 2 questions suppose income remains at $10,000 but the price of the related good increases to $60 and Conlan decides to raise the price of its product to $50.What is the new own price elasticity of demand?

A)-0.24
B)-0.43
C)-0.87
D)-1.00
E)-1.26
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A market-determined price

A)is determined by the manager of a firm.
B)is determined by the intersection of demand and supply curves.
C)is an endogenous variable
D)both a and b
E)both b and c
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Seasonal or cyclical variation in a time series model

A)is regular in nature and can be accounted for by dummy variables.
B)can decrease the accuracy of a forecast if not accounted for by dummy variables.
C)exhibits irregular variation that can be accounted for by dummy variables.
D)both a and b
E)both b and c
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The estimated demand for a good X is <strong>The estimated demand for a good X is   ,where   = units of the good,P = price of the good,M = income,and   = price of related good Z.All parameter estimates are statistically significant.Which of the following statements is correct?</strong> A)X is a normal good. B)X is an inferior good. C)X and Z are substitutes. D)X and Z are complements. E)both b and c ,where <strong>The estimated demand for a good X is   ,where   = units of the good,P = price of the good,M = income,and   = price of related good Z.All parameter estimates are statistically significant.Which of the following statements is correct?</strong> A)X is a normal good. B)X is an inferior good. C)X and Z are substitutes. D)X and Z are complements. E)both b and c = units of the good,P = price of the good,M = income,and <strong>The estimated demand for a good X is   ,where   = units of the good,P = price of the good,M = income,and   = price of related good Z.All parameter estimates are statistically significant.Which of the following statements is correct?</strong> A)X is a normal good. B)X is an inferior good. C)X and Z are substitutes. D)X and Z are complements. E)both b and c = price of related good Z.All parameter estimates are statistically significant.Which of the following statements is correct?

A)X is a normal good.
B)X is an inferior good.
C)X and Z are substitutes.
D)X and Z are complements.
E)both b and c
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Time-series models

A)cannot be replicated by another researcher.
B)use dummy variables to control for cyclical variation.
C)use dummy variables to control for time trend.
D)both a and b
E)both b and c
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The following linear demand specification is estimated for Conlan Enterprises,a price-setting firm: <strong>The following linear demand specification is estimated for Conlan Enterprises,a price-setting firm:   where Q is the quantity demanded of the product Conlan Enterprises sells,P is the price of that product,M is income,and   is the price of a related product.The results of the estimation are presented below:   Assume that the income is $10,000,the price of the related good is $40,and Conlan chooses to set the price of this product at $30.At the prices and income given above,what is the price elasticity of demand?</strong> A)-0.43 B)-0.86 C)-1.00 D)-1.43 E)-2.40 where Q is the quantity demanded of the product Conlan Enterprises sells,P is the price of that product,M is income,and <strong>The following linear demand specification is estimated for Conlan Enterprises,a price-setting firm:   where Q is the quantity demanded of the product Conlan Enterprises sells,P is the price of that product,M is income,and   is the price of a related product.The results of the estimation are presented below:   Assume that the income is $10,000,the price of the related good is $40,and Conlan chooses to set the price of this product at $30.At the prices and income given above,what is the price elasticity of demand?</strong> A)-0.43 B)-0.86 C)-1.00 D)-1.43 E)-2.40 is the price of a related product.The results of the estimation are presented below: <strong>The following linear demand specification is estimated for Conlan Enterprises,a price-setting firm:   where Q is the quantity demanded of the product Conlan Enterprises sells,P is the price of that product,M is income,and   is the price of a related product.The results of the estimation are presented below:   Assume that the income is $10,000,the price of the related good is $40,and Conlan chooses to set the price of this product at $30.At the prices and income given above,what is the price elasticity of demand?</strong> A)-0.43 B)-0.86 C)-1.00 D)-1.43 E)-2.40 Assume that the income is $10,000,the price of the related good is $40,and Conlan chooses to set the price of this product at $30.At the prices and income given above,what is the price elasticity of demand?

A)-0.43
B)-0.86
C)-1.00
D)-1.43
E)-2.40
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Build-Right Concrete Products produces specialty cement used in construction of highways.Build-Right is a price-setting firm and estimates the demand for its cement by the State Highway Department using a demand function in the nonlinear form: <strong>Build-Right Concrete Products produces specialty cement used in construction of highways.Build-Right is a price-setting firm and estimates the demand for its cement by the State Highway Department using a demand function in the nonlinear form:   where Q = yards of cement demanded monthly,P = the price of Build-Right's cement per yard,M = state tax revenues per capita,and   = the price of asphalt per yard.The manager at Build-Right transforms the nonlinear relation into a linear relation for estimation.The estimation results are presented below:   Given the above,if Build-Right decides to charge the State Highway Department $55 per yard for its cement when tax revenues per capita are $3,200 and the price of asphalt is $35 per yard,the expected quantity demanded is</strong> A)1,000 yards of cement. B)2,000 yards of cement. C)4,000 yards of cement. D)6,000 yards of cement. E)8,000 yards of cement. where Q = yards of cement demanded monthly,P = the price of Build-Right's cement per yard,M = state tax revenues per capita,and <strong>Build-Right Concrete Products produces specialty cement used in construction of highways.Build-Right is a price-setting firm and estimates the demand for its cement by the State Highway Department using a demand function in the nonlinear form:   where Q = yards of cement demanded monthly,P = the price of Build-Right's cement per yard,M = state tax revenues per capita,and   = the price of asphalt per yard.The manager at Build-Right transforms the nonlinear relation into a linear relation for estimation.The estimation results are presented below:   Given the above,if Build-Right decides to charge the State Highway Department $55 per yard for its cement when tax revenues per capita are $3,200 and the price of asphalt is $35 per yard,the expected quantity demanded is</strong> A)1,000 yards of cement. B)2,000 yards of cement. C)4,000 yards of cement. D)6,000 yards of cement. E)8,000 yards of cement. = the price of asphalt per yard.The manager at Build-Right transforms the nonlinear relation into a linear relation for estimation.The estimation results are presented below: <strong>Build-Right Concrete Products produces specialty cement used in construction of highways.Build-Right is a price-setting firm and estimates the demand for its cement by the State Highway Department using a demand function in the nonlinear form:   where Q = yards of cement demanded monthly,P = the price of Build-Right's cement per yard,M = state tax revenues per capita,and   = the price of asphalt per yard.The manager at Build-Right transforms the nonlinear relation into a linear relation for estimation.The estimation results are presented below:   Given the above,if Build-Right decides to charge the State Highway Department $55 per yard for its cement when tax revenues per capita are $3,200 and the price of asphalt is $35 per yard,the expected quantity demanded is</strong> A)1,000 yards of cement. B)2,000 yards of cement. C)4,000 yards of cement. D)6,000 yards of cement. E)8,000 yards of cement. Given the above,if Build-Right decides to charge the State Highway Department $55 per yard for its cement when tax revenues per capita are $3,200 and the price of asphalt is $35 per yard,the expected quantity demanded is

A)1,000 yards of cement.
B)2,000 yards of cement.
C)4,000 yards of cement.
D)6,000 yards of cement.
E)8,000 yards of cement.
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Time-series data

A)show the behavior of a particular variable over time.
B)may exhibit trend or cyclical variation,but not both at the same time.
C)may exhibit trend and cyclical variation at the same time.
D)both a and b
E)both a and c
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The following linear demand specification is estimated for Conlan Enterprises,a price-setting firm: <strong>The following linear demand specification is estimated for Conlan Enterprises,a price-setting firm:   where Q is the quantity demanded of the product Conlan Enterprises sells,P is the price of that product,M is income,and   is the price of a related product.The results of the estimation are presented below:   Given the above,based upon the parameter estimates in the above table</strong> A)this good is a normal good. B)the related good is a substitute. C)the related good is a complement. D)a and b E)a and c where Q is the quantity demanded of the product Conlan Enterprises sells,P is the price of that product,M is income,and <strong>The following linear demand specification is estimated for Conlan Enterprises,a price-setting firm:   where Q is the quantity demanded of the product Conlan Enterprises sells,P is the price of that product,M is income,and   is the price of a related product.The results of the estimation are presented below:   Given the above,based upon the parameter estimates in the above table</strong> A)this good is a normal good. B)the related good is a substitute. C)the related good is a complement. D)a and b E)a and c is the price of a related product.The results of the estimation are presented below: <strong>The following linear demand specification is estimated for Conlan Enterprises,a price-setting firm:   where Q is the quantity demanded of the product Conlan Enterprises sells,P is the price of that product,M is income,and   is the price of a related product.The results of the estimation are presented below:   Given the above,based upon the parameter estimates in the above table</strong> A)this good is a normal good. B)the related good is a substitute. C)the related good is a complement. D)a and b E)a and c Given the above,based upon the parameter estimates in the above table

A)this good is a normal good.
B)the related good is a substitute.
C)the related good is a complement.
D)a and b
E)a and c
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A consulting firm estimates the following quarterly sales forecasting model: <strong>A consulting firm estimates the following quarterly sales forecasting model:   The equation is estimated using quarterly data from 2005I-2015III t = 1,...,43).The variable D is a dummy variable for the second quarter where: D = 1 in the second quarter,and 0 otherwise. The results of the estimation are:   Given the above,these estimates indicate that the second quarter change in sales is</strong> A)22.5 units higher in the second quarter than in the other three quarters. B)1.86 units higher in the second quarter than in the other three quarters. C)2.00 units higher in the second quarter than in the other three quarters. D)24.5 units higher in the second quarter than in the other three quarters. The equation is estimated using quarterly data from 2005I-2015III t = 1,...,43).The variable D is a dummy variable for the second quarter where: D = 1 in the second quarter,and 0 otherwise.
The results of the estimation are:
<strong>A consulting firm estimates the following quarterly sales forecasting model:   The equation is estimated using quarterly data from 2005I-2015III t = 1,...,43).The variable D is a dummy variable for the second quarter where: D = 1 in the second quarter,and 0 otherwise. The results of the estimation are:   Given the above,these estimates indicate that the second quarter change in sales is</strong> A)22.5 units higher in the second quarter than in the other three quarters. B)1.86 units higher in the second quarter than in the other three quarters. C)2.00 units higher in the second quarter than in the other three quarters. D)24.5 units higher in the second quarter than in the other three quarters. Given the above,these estimates indicate that the second quarter change in sales is

A)22.5 units higher in the second quarter than in the other three quarters.
B)1.86 units higher in the second quarter than in the other three quarters.
C)2.00 units higher in the second quarter than in the other three quarters.
D)24.5 units higher in the second quarter than in the other three quarters.
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The following linear demand specification is estimated for Conlan Enterprises,a price-setting firm: <strong>The following linear demand specification is estimated for Conlan Enterprises,a price-setting firm:   where Q is the quantity demanded of the product Conlan Enterprises sells,P is the price of that product,M is income,and   is the price of a related product.The results of the estimation are presented below:   Given the above,at the 1% level of significance,the critical value of the t-statistic used by Conlan to test for statistical significance has _____ degrees of freedom and is equal to ________.</strong> A)32; 0.7984 B)32; 36.14 C)32; 4.57 D)30; 2.750 E)28; 2.763 where Q is the quantity demanded of the product Conlan Enterprises sells,P is the price of that product,M is income,and <strong>The following linear demand specification is estimated for Conlan Enterprises,a price-setting firm:   where Q is the quantity demanded of the product Conlan Enterprises sells,P is the price of that product,M is income,and   is the price of a related product.The results of the estimation are presented below:   Given the above,at the 1% level of significance,the critical value of the t-statistic used by Conlan to test for statistical significance has _____ degrees of freedom and is equal to ________.</strong> A)32; 0.7984 B)32; 36.14 C)32; 4.57 D)30; 2.750 E)28; 2.763 is the price of a related product.The results of the estimation are presented below: <strong>The following linear demand specification is estimated for Conlan Enterprises,a price-setting firm:   where Q is the quantity demanded of the product Conlan Enterprises sells,P is the price of that product,M is income,and   is the price of a related product.The results of the estimation are presented below:   Given the above,at the 1% level of significance,the critical value of the t-statistic used by Conlan to test for statistical significance has _____ degrees of freedom and is equal to ________.</strong> A)32; 0.7984 B)32; 36.14 C)32; 4.57 D)30; 2.750 E)28; 2.763 Given the above,at the 1% level of significance,the critical value of the t-statistic used by Conlan to test for statistical significance has _____ degrees of freedom and is equal to ________.

A)32; 0.7984
B)32; 36.14
C)32; 4.57
D)30; 2.750
E)28; 2.763
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Qualitative forecasting methods

A)use higher quality data than statistical methods.
B)are often the result of expert opinion.
C)cannot be replicated by another researcher.
D)both b and c
E)all of the above
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Dummy variables are used in time-series forecasting models

A)to change the intercept of a regression in selected periods.
B)to account for random variation in the data.
C)to account for seasonal variation in the data.
D)both a and b
E)both a and c
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The following linear demand specification is estimated for Conlan Enterprises,a price-setting firm: <strong>The following linear demand specification is estimated for Conlan Enterprises,a price-setting firm:   where Q is the quantity demanded of the product Conlan Enterprises sells,P is the price of that product,M is income,and   is the price of a related product.The results of the estimation are presented below:   For the next 2 questions suppose income remains at $10,000 but the price of the related good increases to $60 and Conlan decides to raise the price of its product to $50.At the prices and income given above,Conlan can expect to sell _________units.</strong> A)342 B)600 C)724 D)864 E)872 where Q is the quantity demanded of the product Conlan Enterprises sells,P is the price of that product,M is income,and <strong>The following linear demand specification is estimated for Conlan Enterprises,a price-setting firm:   where Q is the quantity demanded of the product Conlan Enterprises sells,P is the price of that product,M is income,and   is the price of a related product.The results of the estimation are presented below:   For the next 2 questions suppose income remains at $10,000 but the price of the related good increases to $60 and Conlan decides to raise the price of its product to $50.At the prices and income given above,Conlan can expect to sell _________units.</strong> A)342 B)600 C)724 D)864 E)872 is the price of a related product.The results of the estimation are presented below: <strong>The following linear demand specification is estimated for Conlan Enterprises,a price-setting firm:   where Q is the quantity demanded of the product Conlan Enterprises sells,P is the price of that product,M is income,and   is the price of a related product.The results of the estimation are presented below:   For the next 2 questions suppose income remains at $10,000 but the price of the related good increases to $60 and Conlan decides to raise the price of its product to $50.At the prices and income given above,Conlan can expect to sell _________units.</strong> A)342 B)600 C)724 D)864 E)872 For the next 2 questions suppose income remains at $10,000 but the price of the related good increases to $60 and Conlan decides to raise the price of its product to $50.At the prices and income given above,Conlan can expect to sell _________units.

A)342
B)600
C)724
D)864
E)872
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The following linear demand specification is estimated for Conlan Enterprises,a price-setting firm: <strong>The following linear demand specification is estimated for Conlan Enterprises,a price-setting firm:   where Q is the quantity demanded of the product Conlan Enterprises sells,P is the price of that product,M is income,and   is the price of a related product.The results of the estimation are presented below:   Given the above,at the 1% level of significance,which estimates are statistically significant?</strong> A)All are statistically significant B)All but   are statistically significant C)Only   are statistically significant D)Only   is statistically significant E)All but   are statistically significant where Q is the quantity demanded of the product Conlan Enterprises sells,P is the price of that product,M is income,and <strong>The following linear demand specification is estimated for Conlan Enterprises,a price-setting firm:   where Q is the quantity demanded of the product Conlan Enterprises sells,P is the price of that product,M is income,and   is the price of a related product.The results of the estimation are presented below:   Given the above,at the 1% level of significance,which estimates are statistically significant?</strong> A)All are statistically significant B)All but   are statistically significant C)Only   are statistically significant D)Only   is statistically significant E)All but   are statistically significant is the price of a related product.The results of the estimation are presented below: <strong>The following linear demand specification is estimated for Conlan Enterprises,a price-setting firm:   where Q is the quantity demanded of the product Conlan Enterprises sells,P is the price of that product,M is income,and   is the price of a related product.The results of the estimation are presented below:   Given the above,at the 1% level of significance,which estimates are statistically significant?</strong> A)All are statistically significant B)All but   are statistically significant C)Only   are statistically significant D)Only   is statistically significant E)All but   are statistically significant Given the above,at the 1% level of significance,which estimates are statistically significant?

A)All are statistically significant
B)All but <strong>The following linear demand specification is estimated for Conlan Enterprises,a price-setting firm:   where Q is the quantity demanded of the product Conlan Enterprises sells,P is the price of that product,M is income,and   is the price of a related product.The results of the estimation are presented below:   Given the above,at the 1% level of significance,which estimates are statistically significant?</strong> A)All are statistically significant B)All but   are statistically significant C)Only   are statistically significant D)Only   is statistically significant E)All but   are statistically significant are statistically significant
C)Only <strong>The following linear demand specification is estimated for Conlan Enterprises,a price-setting firm:   where Q is the quantity demanded of the product Conlan Enterprises sells,P is the price of that product,M is income,and   is the price of a related product.The results of the estimation are presented below:   Given the above,at the 1% level of significance,which estimates are statistically significant?</strong> A)All are statistically significant B)All but   are statistically significant C)Only   are statistically significant D)Only   is statistically significant E)All but   are statistically significant are statistically significant
D)Only <strong>The following linear demand specification is estimated for Conlan Enterprises,a price-setting firm:   where Q is the quantity demanded of the product Conlan Enterprises sells,P is the price of that product,M is income,and   is the price of a related product.The results of the estimation are presented below:   Given the above,at the 1% level of significance,which estimates are statistically significant?</strong> A)All are statistically significant B)All but   are statistically significant C)Only   are statistically significant D)Only   is statistically significant E)All but   are statistically significant is statistically significant
E)All but <strong>The following linear demand specification is estimated for Conlan Enterprises,a price-setting firm:   where Q is the quantity demanded of the product Conlan Enterprises sells,P is the price of that product,M is income,and   is the price of a related product.The results of the estimation are presented below:   Given the above,at the 1% level of significance,which estimates are statistically significant?</strong> A)All are statistically significant B)All but   are statistically significant C)Only   are statistically significant D)Only   is statistically significant E)All but   are statistically significant are statistically significant
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Manager-determined prices are

A)not determined by the forces of demand and supply.
B)exogenous variables in a demand equations.
C)associated with price-taking firms.
D)both a and b
E)both b and c
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A consulting firm estimates the following quarterly sales forecasting model: <strong>A consulting firm estimates the following quarterly sales forecasting model:   The equation is estimated using quarterly data from 2005I-2015III t = 1,...,43).The variable D is a dummy variable for the second quarter where: D = 1 in the second quarter,and 0 otherwise. The results of the estimation are:   Given the above,at the 1 percent level of significance,is there a statistically significant trend in sales?</strong> A)Yes,because 0.0016 < 0.01. B)No,because 0.0016 < 0.01. C)Yes,because 0.55 > 0.01. D)Yes,because 1.86 > 0.01. E)both c and d The equation is estimated using quarterly data from 2005I-2015III t = 1,...,43).The variable D is a dummy variable for the second quarter where: D = 1 in the second quarter,and 0 otherwise.
The results of the estimation are:
<strong>A consulting firm estimates the following quarterly sales forecasting model:   The equation is estimated using quarterly data from 2005I-2015III t = 1,...,43).The variable D is a dummy variable for the second quarter where: D = 1 in the second quarter,and 0 otherwise. The results of the estimation are:   Given the above,at the 1 percent level of significance,is there a statistically significant trend in sales?</strong> A)Yes,because 0.0016 < 0.01. B)No,because 0.0016 < 0.01. C)Yes,because 0.55 > 0.01. D)Yes,because 1.86 > 0.01. E)both c and d Given the above,at the 1 percent level of significance,is there a statistically significant trend in sales?

A)Yes,because 0.0016 < 0.01.
B)No,because 0.0016 < 0.01.
C)Yes,because 0.55 > 0.01.
D)Yes,because 1.86 > 0.01.
E)both c and d
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The following linear demand specification is estimated for Conlan Enterprises,a price-setting firm: <strong>The following linear demand specification is estimated for Conlan Enterprises,a price-setting firm:   where Q is the quantity demanded of the product Conlan Enterprises sells,P is the price of that product,M is income,and   is the price of a related product.The results of the estimation are presented below:   Assume that the income is $10,000,the price of the related good is $40,and Conlan chooses to set the price of this product at $30.At the prices and income given above,what is the income elasticity?</strong> A)-1.62 B)-0.87 C)0.21 D)0.31 E)1.50 where Q is the quantity demanded of the product Conlan Enterprises sells,P is the price of that product,M is income,and <strong>The following linear demand specification is estimated for Conlan Enterprises,a price-setting firm:   where Q is the quantity demanded of the product Conlan Enterprises sells,P is the price of that product,M is income,and   is the price of a related product.The results of the estimation are presented below:   Assume that the income is $10,000,the price of the related good is $40,and Conlan chooses to set the price of this product at $30.At the prices and income given above,what is the income elasticity?</strong> A)-1.62 B)-0.87 C)0.21 D)0.31 E)1.50 is the price of a related product.The results of the estimation are presented below: <strong>The following linear demand specification is estimated for Conlan Enterprises,a price-setting firm:   where Q is the quantity demanded of the product Conlan Enterprises sells,P is the price of that product,M is income,and   is the price of a related product.The results of the estimation are presented below:   Assume that the income is $10,000,the price of the related good is $40,and Conlan chooses to set the price of this product at $30.At the prices and income given above,what is the income elasticity?</strong> A)-1.62 B)-0.87 C)0.21 D)0.31 E)1.50 Assume that the income is $10,000,the price of the related good is $40,and Conlan chooses to set the price of this product at $30.At the prices and income given above,what is the income elasticity?

A)-1.62
B)-0.87
C)0.21
D)0.31
E)1.50
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A consulting firm estimates the following quarterly sales forecasting model: <strong>A consulting firm estimates the following quarterly sales forecasting model:   The equation is estimated using quarterly data from 2005I-2015III t = 1,...,43).The variable D is a dummy variable for the second quarter where: D = 1 in the second quarter,and 0 otherwise. The results of the estimation are:   Give the above,at the 1 percent level of significance,is there a statistically significant trend in sales?</strong> A)No,since 1.86 < 2.704 B)No,since 0.55 < 1.86 C)No,since 1.02 < 2.704 D)Yes,since 1.86 > 0.55 E)Yes,since 3.38 > 2.704 The equation is estimated using quarterly data from 2005I-2015III t = 1,...,43).The variable D is a dummy variable for the second quarter where: D = 1 in the second quarter,and 0 otherwise.
The results of the estimation are:
<strong>A consulting firm estimates the following quarterly sales forecasting model:   The equation is estimated using quarterly data from 2005I-2015III t = 1,...,43).The variable D is a dummy variable for the second quarter where: D = 1 in the second quarter,and 0 otherwise. The results of the estimation are:   Give the above,at the 1 percent level of significance,is there a statistically significant trend in sales?</strong> A)No,since 1.86 < 2.704 B)No,since 0.55 < 1.86 C)No,since 1.02 < 2.704 D)Yes,since 1.86 > 0.55 E)Yes,since 3.38 > 2.704 Give the above,at the 1 percent level of significance,is there a statistically significant trend in sales?

A)No,since 1.86 < 2.704
B)No,since 0.55 < 1.86
C)No,since 1.02 < 2.704
D)Yes,since 1.86 > 0.55
E)Yes,since 3.38 > 2.704
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The following linear demand specification is estimated for Conlan Enterprises,a price-setting firm: <strong>The following linear demand specification is estimated for Conlan Enterprises,a price-setting firm:   where Q is the quantity demanded of the product Conlan Enterprises sells,P is the price of that product,M is income,and   is the price of a related product.The results of the estimation are presented below:   Assume that the income is $10,000,the price of the related good is $40,and Conlan chooses to set the price of this product at $30.At the prices and income given above,Conlan can expect to sell _________units.</strong> A)342 B)600 C)724 D)864 E)872 where Q is the quantity demanded of the product Conlan Enterprises sells,P is the price of that product,M is income,and <strong>The following linear demand specification is estimated for Conlan Enterprises,a price-setting firm:   where Q is the quantity demanded of the product Conlan Enterprises sells,P is the price of that product,M is income,and   is the price of a related product.The results of the estimation are presented below:   Assume that the income is $10,000,the price of the related good is $40,and Conlan chooses to set the price of this product at $30.At the prices and income given above,Conlan can expect to sell _________units.</strong> A)342 B)600 C)724 D)864 E)872 is the price of a related product.The results of the estimation are presented below: <strong>The following linear demand specification is estimated for Conlan Enterprises,a price-setting firm:   where Q is the quantity demanded of the product Conlan Enterprises sells,P is the price of that product,M is income,and   is the price of a related product.The results of the estimation are presented below:   Assume that the income is $10,000,the price of the related good is $40,and Conlan chooses to set the price of this product at $30.At the prices and income given above,Conlan can expect to sell _________units.</strong> A)342 B)600 C)724 D)864 E)872 Assume that the income is $10,000,the price of the related good is $40,and Conlan chooses to set the price of this product at $30.At the prices and income given above,Conlan can expect to sell _________units.

A)342
B)600
C)724
D)864
E)872
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Problems in forecasting include:

A)estimates becoming more reliable the further you forecast into the future
B)specification error
C)cyclical variation
D)both b and c
E)all of the above
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A consulting firm estimates the following quarterly sales forecasting model: <strong>A consulting firm estimates the following quarterly sales forecasting model:   The equation is estimated using quarterly data from 2005I-2015III t = 1,...,43).The variable D is a dummy variable for the second quarter where: D = 1 in the second quarter,and 0 otherwise. The results of the estimation are:   Using the estimated trend line above,what is the predicted level of sales in 2016I ?</strong> A)110.06 B)106.20 C)104.34 D)102.2 E)none of the above The equation is estimated using quarterly data from 2005I-2015III t = 1,...,43).The variable D is a dummy variable for the second quarter where: D = 1 in the second quarter,and 0 otherwise.
The results of the estimation are:
<strong>A consulting firm estimates the following quarterly sales forecasting model:   The equation is estimated using quarterly data from 2005I-2015III t = 1,...,43).The variable D is a dummy variable for the second quarter where: D = 1 in the second quarter,and 0 otherwise. The results of the estimation are:   Using the estimated trend line above,what is the predicted level of sales in 2016I ?</strong> A)110.06 B)106.20 C)104.34 D)102.2 E)none of the above Using the estimated trend line above,what is the predicted level of sales in 2016I ?

A)110.06
B)106.20
C)104.34
D)102.2
E)none of the above
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A consulting firm estimates the following quarterly sales forecasting model: <strong>A consulting firm estimates the following quarterly sales forecasting model:   The equation is estimated using quarterly data from 2005I-2015III t = 1,...,43).The variable D is a dummy variable for the second quarter where: D = 1 in the second quarter,and 0 otherwise. The results of the estimation are:   Given the above,what is the estimated intercept of the trend line in the second quarter?</strong> A)22.50 B)24.50 C)24.36 D)2.00 E)none of the above The equation is estimated using quarterly data from 2005I-2015III t = 1,...,43).The variable D is a dummy variable for the second quarter where: D = 1 in the second quarter,and 0 otherwise.
The results of the estimation are:
<strong>A consulting firm estimates the following quarterly sales forecasting model:   The equation is estimated using quarterly data from 2005I-2015III t = 1,...,43).The variable D is a dummy variable for the second quarter where: D = 1 in the second quarter,and 0 otherwise. The results of the estimation are:   Given the above,what is the estimated intercept of the trend line in the second quarter?</strong> A)22.50 B)24.50 C)24.36 D)2.00 E)none of the above Given the above,what is the estimated intercept of the trend line in the second quarter?

A)22.50
B)24.50
C)24.36
D)2.00
E)none of the above
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A consulting firm estimates the following quarterly sales forecasting model: <strong>A consulting firm estimates the following quarterly sales forecasting model:   The equation is estimated using quarterly data from 2005I-2015III t = 1,...,43).The variable D is a dummy variable for the second quarter where: D = 1 in the second quarter,and 0 otherwise. The results of the estimation are:   Using the estimated trend line above,what is the predicted level of sales in 2015IV ?</strong> A)110.06 B)106.20 C)104.34 D)102.2 E)none of the above The equation is estimated using quarterly data from 2005I-2015III t = 1,...,43).The variable D is a dummy variable for the second quarter where: D = 1 in the second quarter,and 0 otherwise.
The results of the estimation are:
<strong>A consulting firm estimates the following quarterly sales forecasting model:   The equation is estimated using quarterly data from 2005I-2015III t = 1,...,43).The variable D is a dummy variable for the second quarter where: D = 1 in the second quarter,and 0 otherwise. The results of the estimation are:   Using the estimated trend line above,what is the predicted level of sales in 2015IV ?</strong> A)110.06 B)106.20 C)104.34 D)102.2 E)none of the above Using the estimated trend line above,what is the predicted level of sales in 2015IV ?

A)110.06
B)106.20
C)104.34
D)102.2
E)none of the above
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A forecaster used the regression equation <strong>A forecaster used the regression equation   and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and   and   are dummy variables for quarters I,II,and III.   Using the estimation results given above,the predicted level of sales in 2014IV is _______ units.</strong> A)125 B)127.50 C)132 D)133.5 E)none of the above and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and <strong>A forecaster used the regression equation   and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and   and   are dummy variables for quarters I,II,and III.   Using the estimation results given above,the predicted level of sales in 2014IV is _______ units.</strong> A)125 B)127.50 C)132 D)133.5 E)none of the above and <strong>A forecaster used the regression equation   and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and   and   are dummy variables for quarters I,II,and III.   Using the estimation results given above,the predicted level of sales in 2014IV is _______ units.</strong> A)125 B)127.50 C)132 D)133.5 E)none of the above are dummy variables for quarters I,II,and III. <strong>A forecaster used the regression equation   and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and   and   are dummy variables for quarters I,II,and III.   Using the estimation results given above,the predicted level of sales in 2014IV is _______ units.</strong> A)125 B)127.50 C)132 D)133.5 E)none of the above Using the estimation results given above,the predicted level of sales in 2014IV is _______ units.

A)125
B)127.50
C)132
D)133.5
E)none of the above
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A forecaster used the regression equation <strong>A forecaster used the regression equation   and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and   and   are dummy variables for quarters I,II,and III.   At the 5 percent level of significance,is there a statistically significant trend in sales?</strong> A)Yes,because 0.0362 < 0.05. B)No,because 0.0362 > 0.01. C)Yes,because 0.700 > 0.05. D)Yes,because 2.14 >0.05. E)both c and d and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and <strong>A forecaster used the regression equation   and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and   and   are dummy variables for quarters I,II,and III.   At the 5 percent level of significance,is there a statistically significant trend in sales?</strong> A)Yes,because 0.0362 < 0.05. B)No,because 0.0362 > 0.01. C)Yes,because 0.700 > 0.05. D)Yes,because 2.14 >0.05. E)both c and d and <strong>A forecaster used the regression equation   and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and   and   are dummy variables for quarters I,II,and III.   At the 5 percent level of significance,is there a statistically significant trend in sales?</strong> A)Yes,because 0.0362 < 0.05. B)No,because 0.0362 > 0.01. C)Yes,because 0.700 > 0.05. D)Yes,because 2.14 >0.05. E)both c and d are dummy variables for quarters I,II,and III. <strong>A forecaster used the regression equation   and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and   and   are dummy variables for quarters I,II,and III.   At the 5 percent level of significance,is there a statistically significant trend in sales?</strong> A)Yes,because 0.0362 < 0.05. B)No,because 0.0362 > 0.01. C)Yes,because 0.700 > 0.05. D)Yes,because 2.14 >0.05. E)both c and d At the 5 percent level of significance,is there a statistically significant trend in sales?

A)Yes,because 0.0362 < 0.05.
B)No,because 0.0362 > 0.01.
C)Yes,because 0.700 > 0.05.
D)Yes,because 2.14 >0.05.
E)both c and d
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The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation <strong>The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation   to forecast doll prices in the year 2014.   is the quarterly price of dolls,and   and   are dummy variables for quarters I,II,and III,respectively.   At the 2 percent level of statistical significance,is there a statistically significant trend in the price of dolls?</strong> A)Yes,because 0.0022 < 0.02. B)No,because 0.0022 > 0.02. C)Yes,because 0.800 > 0.02. D)Yes,because 0.240 > 0.02. E)Yes,because 3.33 > 0.02. to forecast doll prices in the year 2014. <strong>The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation   to forecast doll prices in the year 2014.   is the quarterly price of dolls,and   and   are dummy variables for quarters I,II,and III,respectively.   At the 2 percent level of statistical significance,is there a statistically significant trend in the price of dolls?</strong> A)Yes,because 0.0022 < 0.02. B)No,because 0.0022 > 0.02. C)Yes,because 0.800 > 0.02. D)Yes,because 0.240 > 0.02. E)Yes,because 3.33 > 0.02. is the quarterly price of dolls,and <strong>The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation   to forecast doll prices in the year 2014.   is the quarterly price of dolls,and   and   are dummy variables for quarters I,II,and III,respectively.   At the 2 percent level of statistical significance,is there a statistically significant trend in the price of dolls?</strong> A)Yes,because 0.0022 < 0.02. B)No,because 0.0022 > 0.02. C)Yes,because 0.800 > 0.02. D)Yes,because 0.240 > 0.02. E)Yes,because 3.33 > 0.02. and <strong>The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation   to forecast doll prices in the year 2014.   is the quarterly price of dolls,and   and   are dummy variables for quarters I,II,and III,respectively.   At the 2 percent level of statistical significance,is there a statistically significant trend in the price of dolls?</strong> A)Yes,because 0.0022 < 0.02. B)No,because 0.0022 > 0.02. C)Yes,because 0.800 > 0.02. D)Yes,because 0.240 > 0.02. E)Yes,because 3.33 > 0.02. are dummy variables for quarters I,II,and III,respectively. <strong>The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation   to forecast doll prices in the year 2014.   is the quarterly price of dolls,and   and   are dummy variables for quarters I,II,and III,respectively.   At the 2 percent level of statistical significance,is there a statistically significant trend in the price of dolls?</strong> A)Yes,because 0.0022 < 0.02. B)No,because 0.0022 > 0.02. C)Yes,because 0.800 > 0.02. D)Yes,because 0.240 > 0.02. E)Yes,because 3.33 > 0.02. At the 2 percent level of statistical significance,is there a statistically significant trend in the price of dolls?

A)Yes,because 0.0022 < 0.02.
B)No,because 0.0022 > 0.02.
C)Yes,because 0.800 > 0.02.
D)Yes,because 0.240 > 0.02.
E)Yes,because 3.33 > 0.02.
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A forecaster used the regression equation <strong>A forecaster used the regression equation   and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and   and   are dummy variables for quarters I,II,and III.   Using a 5 percent significance level,these estimation results indicate that sales in</strong> A)the first quarter are greater than sales in any other quarter. B)the second quarter are greater than sales in any other quarter. C)the third quarter are greater than sales in any other quarter. D)the fourth quarter are greater than sales in any other quarter. and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and <strong>A forecaster used the regression equation   and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and   and   are dummy variables for quarters I,II,and III.   Using a 5 percent significance level,these estimation results indicate that sales in</strong> A)the first quarter are greater than sales in any other quarter. B)the second quarter are greater than sales in any other quarter. C)the third quarter are greater than sales in any other quarter. D)the fourth quarter are greater than sales in any other quarter. and <strong>A forecaster used the regression equation   and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and   and   are dummy variables for quarters I,II,and III.   Using a 5 percent significance level,these estimation results indicate that sales in</strong> A)the first quarter are greater than sales in any other quarter. B)the second quarter are greater than sales in any other quarter. C)the third quarter are greater than sales in any other quarter. D)the fourth quarter are greater than sales in any other quarter. are dummy variables for quarters I,II,and III. <strong>A forecaster used the regression equation   and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and   and   are dummy variables for quarters I,II,and III.   Using a 5 percent significance level,these estimation results indicate that sales in</strong> A)the first quarter are greater than sales in any other quarter. B)the second quarter are greater than sales in any other quarter. C)the third quarter are greater than sales in any other quarter. D)the fourth quarter are greater than sales in any other quarter. Using a 5 percent significance level,these estimation results indicate that sales in

A)the first quarter are greater than sales in any other quarter.
B)the second quarter are greater than sales in any other quarter.
C)the third quarter are greater than sales in any other quarter.
D)the fourth quarter are greater than sales in any other quarter.
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A consulting firm estimates the following quarterly sales forecasting model: <strong>A consulting firm estimates the following quarterly sales forecasting model:   The equation is estimated using quarterly data from 2005I-2015III t = 1,...,43).The variable D is a dummy variable for the second quarter where: D = 1 in the second quarter,and 0 otherwise. The results of the estimation are:   Given the above,what is the estimated intercept of the trend line in the third quarter?</strong> A)22.50 B)24.50 C)24.36 D)2.00 E)none of the above The equation is estimated using quarterly data from 2005I-2015III t = 1,...,43).The variable D is a dummy variable for the second quarter where: D = 1 in the second quarter,and 0 otherwise.
The results of the estimation are:
<strong>A consulting firm estimates the following quarterly sales forecasting model:   The equation is estimated using quarterly data from 2005I-2015III t = 1,...,43).The variable D is a dummy variable for the second quarter where: D = 1 in the second quarter,and 0 otherwise. The results of the estimation are:   Given the above,what is the estimated intercept of the trend line in the third quarter?</strong> A)22.50 B)24.50 C)24.36 D)2.00 E)none of the above Given the above,what is the estimated intercept of the trend line in the third quarter?

A)22.50
B)24.50
C)24.36
D)2.00
E)none of the above
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A forecaster used the regression equation <strong>A forecaster used the regression equation   and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and   and   are dummy variables for quarters I,II,and III.   What is the estimated intercept of the trend line in the second quarter?</strong> A)25 B)26.6 C)55 D)65 E)none of the above and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and <strong>A forecaster used the regression equation   and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and   and   are dummy variables for quarters I,II,and III.   What is the estimated intercept of the trend line in the second quarter?</strong> A)25 B)26.6 C)55 D)65 E)none of the above and <strong>A forecaster used the regression equation   and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and   and   are dummy variables for quarters I,II,and III.   What is the estimated intercept of the trend line in the second quarter?</strong> A)25 B)26.6 C)55 D)65 E)none of the above are dummy variables for quarters I,II,and III. <strong>A forecaster used the regression equation   and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and   and   are dummy variables for quarters I,II,and III.   What is the estimated intercept of the trend line in the second quarter?</strong> A)25 B)26.6 C)55 D)65 E)none of the above What is the estimated intercept of the trend line in the second quarter?

A)25
B)26.6
C)55
D)65
E)none of the above
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The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation <strong>The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation   to forecast doll prices in the year 2014.   is the quarterly price of dolls,and   and   are dummy variables for quarters I,II,and III,respectively.   What is the estimated intercept of the trend line in the 1st quarter?</strong> A)24 B)-8 C)32 D)16 E)none of the above to forecast doll prices in the year 2014. <strong>The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation   to forecast doll prices in the year 2014.   is the quarterly price of dolls,and   and   are dummy variables for quarters I,II,and III,respectively.   What is the estimated intercept of the trend line in the 1st quarter?</strong> A)24 B)-8 C)32 D)16 E)none of the above is the quarterly price of dolls,and <strong>The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation   to forecast doll prices in the year 2014.   is the quarterly price of dolls,and   and   are dummy variables for quarters I,II,and III,respectively.   What is the estimated intercept of the trend line in the 1st quarter?</strong> A)24 B)-8 C)32 D)16 E)none of the above and <strong>The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation   to forecast doll prices in the year 2014.   is the quarterly price of dolls,and   and   are dummy variables for quarters I,II,and III,respectively.   What is the estimated intercept of the trend line in the 1st quarter?</strong> A)24 B)-8 C)32 D)16 E)none of the above are dummy variables for quarters I,II,and III,respectively. <strong>The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation   to forecast doll prices in the year 2014.   is the quarterly price of dolls,and   and   are dummy variables for quarters I,II,and III,respectively.   What is the estimated intercept of the trend line in the 1st quarter?</strong> A)24 B)-8 C)32 D)16 E)none of the above What is the estimated intercept of the trend line in the 1st quarter?

A)24
B)-8
C)32
D)16
E)none of the above
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A forecaster used the regression equation <strong>A forecaster used the regression equation   and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and   and   are dummy variables for quarters I,II,and III.   Using the estimation results given above,the predicted level of sales in 2014III is _______ units.</strong> A)141.5 B)156 C)172 D)173.5 E)none of the above and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and <strong>A forecaster used the regression equation   and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and   and   are dummy variables for quarters I,II,and III.   Using the estimation results given above,the predicted level of sales in 2014III is _______ units.</strong> A)141.5 B)156 C)172 D)173.5 E)none of the above and <strong>A forecaster used the regression equation   and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and   and   are dummy variables for quarters I,II,and III.   Using the estimation results given above,the predicted level of sales in 2014III is _______ units.</strong> A)141.5 B)156 C)172 D)173.5 E)none of the above are dummy variables for quarters I,II,and III. <strong>A forecaster used the regression equation   and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and   and   are dummy variables for quarters I,II,and III.   Using the estimation results given above,the predicted level of sales in 2014III is _______ units.</strong> A)141.5 B)156 C)172 D)173.5 E)none of the above Using the estimation results given above,the predicted level of sales in 2014III is _______ units.

A)141.5
B)156
C)172
D)173.5
E)none of the above
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53
A forecaster used the regression equation <strong>A forecaster used the regression equation   and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and   and   are dummy variables for quarters I,II,and III.   Using the estimation results given above,the predicted level of sales in 2014I is _______ units.</strong> A)137.5 B)139 C)133.5 D)132 E)none of the above and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and <strong>A forecaster used the regression equation   and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and   and   are dummy variables for quarters I,II,and III.   Using the estimation results given above,the predicted level of sales in 2014I is _______ units.</strong> A)137.5 B)139 C)133.5 D)132 E)none of the above and <strong>A forecaster used the regression equation   and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and   and   are dummy variables for quarters I,II,and III.   Using the estimation results given above,the predicted level of sales in 2014I is _______ units.</strong> A)137.5 B)139 C)133.5 D)132 E)none of the above are dummy variables for quarters I,II,and III. <strong>A forecaster used the regression equation   and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and   and   are dummy variables for quarters I,II,and III.   Using the estimation results given above,the predicted level of sales in 2014I is _______ units.</strong> A)137.5 B)139 C)133.5 D)132 E)none of the above Using the estimation results given above,the predicted level of sales in 2014I is _______ units.

A)137.5
B)139
C)133.5
D)132
E)none of the above
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54
A forecaster used the regression equation <strong>A forecaster used the regression equation   and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and   and   are dummy variables for quarters I,II,and III.   In any given year,quarterly sales tend to vary as follows:</strong> A)Q<sub>I</sub> > Q<sub>II</sub> > Q<sub>III</sub> > Q<sub>IV</sub> B)Q<sub>I</sub> > Q<sub>II</sub> > Q<sub>IV</sub> > Q<sub>III</sub> C)Q<sub>II</sub> > Q<sub>III</sub> > Q<sub>IV</sub> > Q<sub>I</sub> D)Q<sub>III</sub> > Q<sub>II</sub> > Q<sub>I</sub> > Q<sub>IV</sub> E)Q<sub>III</sub> > Q<sub>IV</sub> > Q<sub>II</sub> > Q<sub>I</sub> and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and <strong>A forecaster used the regression equation   and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and   and   are dummy variables for quarters I,II,and III.   In any given year,quarterly sales tend to vary as follows:</strong> A)Q<sub>I</sub> > Q<sub>II</sub> > Q<sub>III</sub> > Q<sub>IV</sub> B)Q<sub>I</sub> > Q<sub>II</sub> > Q<sub>IV</sub> > Q<sub>III</sub> C)Q<sub>II</sub> > Q<sub>III</sub> > Q<sub>IV</sub> > Q<sub>I</sub> D)Q<sub>III</sub> > Q<sub>II</sub> > Q<sub>I</sub> > Q<sub>IV</sub> E)Q<sub>III</sub> > Q<sub>IV</sub> > Q<sub>II</sub> > Q<sub>I</sub> and <strong>A forecaster used the regression equation   and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and   and   are dummy variables for quarters I,II,and III.   In any given year,quarterly sales tend to vary as follows:</strong> A)Q<sub>I</sub> > Q<sub>II</sub> > Q<sub>III</sub> > Q<sub>IV</sub> B)Q<sub>I</sub> > Q<sub>II</sub> > Q<sub>IV</sub> > Q<sub>III</sub> C)Q<sub>II</sub> > Q<sub>III</sub> > Q<sub>IV</sub> > Q<sub>I</sub> D)Q<sub>III</sub> > Q<sub>II</sub> > Q<sub>I</sub> > Q<sub>IV</sub> E)Q<sub>III</sub> > Q<sub>IV</sub> > Q<sub>II</sub> > Q<sub>I</sub> are dummy variables for quarters I,II,and III. <strong>A forecaster used the regression equation   and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and   and   are dummy variables for quarters I,II,and III.   In any given year,quarterly sales tend to vary as follows:</strong> A)Q<sub>I</sub> > Q<sub>II</sub> > Q<sub>III</sub> > Q<sub>IV</sub> B)Q<sub>I</sub> > Q<sub>II</sub> > Q<sub>IV</sub> > Q<sub>III</sub> C)Q<sub>II</sub> > Q<sub>III</sub> > Q<sub>IV</sub> > Q<sub>I</sub> D)Q<sub>III</sub> > Q<sub>II</sub> > Q<sub>I</sub> > Q<sub>IV</sub> E)Q<sub>III</sub> > Q<sub>IV</sub> > Q<sub>II</sub> > Q<sub>I</sub> In any given year,quarterly sales tend to vary as follows:

A)QI > QII > QIII > QIV
B)QI > QII > QIV > QIII
C)QII > QIII > QIV > QI
D)QIII > QII > QI > QIV
E)QIII > QIV > QII > QI
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A forecaster used the regression equation <strong>A forecaster used the regression equation   and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and   and   are dummy variables for quarters I,II,and III.   At the 5 percent level of significance,is there a statistically significant trend in sales?</strong> A)No,because 1.5 < 2.66. B)No,because 1.5 < 2.00. C)No,because 2.14 < 2.66. D)Yes,because 2.14 > 2.00. E)none of the above and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and <strong>A forecaster used the regression equation   and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and   and   are dummy variables for quarters I,II,and III.   At the 5 percent level of significance,is there a statistically significant trend in sales?</strong> A)No,because 1.5 < 2.66. B)No,because 1.5 < 2.00. C)No,because 2.14 < 2.66. D)Yes,because 2.14 > 2.00. E)none of the above and <strong>A forecaster used the regression equation   and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and   and   are dummy variables for quarters I,II,and III.   At the 5 percent level of significance,is there a statistically significant trend in sales?</strong> A)No,because 1.5 < 2.66. B)No,because 1.5 < 2.00. C)No,because 2.14 < 2.66. D)Yes,because 2.14 > 2.00. E)none of the above are dummy variables for quarters I,II,and III. <strong>A forecaster used the regression equation   and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and   and   are dummy variables for quarters I,II,and III.   At the 5 percent level of significance,is there a statistically significant trend in sales?</strong> A)No,because 1.5 < 2.66. B)No,because 1.5 < 2.00. C)No,because 2.14 < 2.66. D)Yes,because 2.14 > 2.00. E)none of the above At the 5 percent level of significance,is there a statistically significant trend in sales?

A)No,because 1.5 < 2.66.
B)No,because 1.5 < 2.00.
C)No,because 2.14 < 2.66.
D)Yes,because 2.14 > 2.00.
E)none of the above
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56
A forecaster used the regression equation <strong>A forecaster used the regression equation   and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and   and   are dummy variables for quarters I,II,and III.   Using the estimation results given above,the predicted level of sales in 2014II is _______ units.</strong> A)127.5 B)137.5 C)154 D)155.5 E)none of the above and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and <strong>A forecaster used the regression equation   and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and   and   are dummy variables for quarters I,II,and III.   Using the estimation results given above,the predicted level of sales in 2014II is _______ units.</strong> A)127.5 B)137.5 C)154 D)155.5 E)none of the above and <strong>A forecaster used the regression equation   and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and   and   are dummy variables for quarters I,II,and III.   Using the estimation results given above,the predicted level of sales in 2014II is _______ units.</strong> A)127.5 B)137.5 C)154 D)155.5 E)none of the above are dummy variables for quarters I,II,and III. <strong>A forecaster used the regression equation   and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and   and   are dummy variables for quarters I,II,and III.   Using the estimation results given above,the predicted level of sales in 2014II is _______ units.</strong> A)127.5 B)137.5 C)154 D)155.5 E)none of the above Using the estimation results given above,the predicted level of sales in 2014II is _______ units.

A)127.5
B)137.5
C)154
D)155.5
E)none of the above
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57
A forecaster used the regression equation <strong>A forecaster used the regression equation   and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and   and   are dummy variables for quarters I,II,and III.   The estimated QUARTERLY increase in sales is ______ units,and the estimated ANNUAL increase in sales is ______ units.</strong> A)1.5; 6 B)1.4; 4 C)30; 4 D)1.5; 40 E)none of the above and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and <strong>A forecaster used the regression equation   and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and   and   are dummy variables for quarters I,II,and III.   The estimated QUARTERLY increase in sales is ______ units,and the estimated ANNUAL increase in sales is ______ units.</strong> A)1.5; 6 B)1.4; 4 C)30; 4 D)1.5; 40 E)none of the above and <strong>A forecaster used the regression equation   and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and   and   are dummy variables for quarters I,II,and III.   The estimated QUARTERLY increase in sales is ______ units,and the estimated ANNUAL increase in sales is ______ units.</strong> A)1.5; 6 B)1.4; 4 C)30; 4 D)1.5; 40 E)none of the above are dummy variables for quarters I,II,and III. <strong>A forecaster used the regression equation   and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and   and   are dummy variables for quarters I,II,and III.   The estimated QUARTERLY increase in sales is ______ units,and the estimated ANNUAL increase in sales is ______ units.</strong> A)1.5; 6 B)1.4; 4 C)30; 4 D)1.5; 40 E)none of the above The estimated QUARTERLY increase in sales is ______ units,and the estimated ANNUAL increase in sales is ______ units.

A)1.5; 6
B)1.4; 4
C)30; 4
D)1.5; 40
E)none of the above
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58
The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation <strong>The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation   to forecast doll prices in the year 2014.   is the quarterly price of dolls,and   and   are dummy variables for quarters I,II,and III,respectively.   The estimated QUARTERLY increase in price is ______,and the estimated ANNUAL increase in price is ______ .</strong> A)$1.50; $6.00 B)$1.40; $4.00 C)$0.60; $2.40 D)$0.80; $3.20 E)none of the above to forecast doll prices in the year 2014. <strong>The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation   to forecast doll prices in the year 2014.   is the quarterly price of dolls,and   and   are dummy variables for quarters I,II,and III,respectively.   The estimated QUARTERLY increase in price is ______,and the estimated ANNUAL increase in price is ______ .</strong> A)$1.50; $6.00 B)$1.40; $4.00 C)$0.60; $2.40 D)$0.80; $3.20 E)none of the above is the quarterly price of dolls,and <strong>The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation   to forecast doll prices in the year 2014.   is the quarterly price of dolls,and   and   are dummy variables for quarters I,II,and III,respectively.   The estimated QUARTERLY increase in price is ______,and the estimated ANNUAL increase in price is ______ .</strong> A)$1.50; $6.00 B)$1.40; $4.00 C)$0.60; $2.40 D)$0.80; $3.20 E)none of the above and <strong>The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation   to forecast doll prices in the year 2014.   is the quarterly price of dolls,and   and   are dummy variables for quarters I,II,and III,respectively.   The estimated QUARTERLY increase in price is ______,and the estimated ANNUAL increase in price is ______ .</strong> A)$1.50; $6.00 B)$1.40; $4.00 C)$0.60; $2.40 D)$0.80; $3.20 E)none of the above are dummy variables for quarters I,II,and III,respectively. <strong>The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation   to forecast doll prices in the year 2014.   is the quarterly price of dolls,and   and   are dummy variables for quarters I,II,and III,respectively.   The estimated QUARTERLY increase in price is ______,and the estimated ANNUAL increase in price is ______ .</strong> A)$1.50; $6.00 B)$1.40; $4.00 C)$0.60; $2.40 D)$0.80; $3.20 E)none of the above The estimated QUARTERLY increase in price is ______,and the estimated ANNUAL increase in price is ______ .

A)$1.50; $6.00
B)$1.40; $4.00
C)$0.60; $2.40
D)$0.80; $3.20
E)none of the above
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The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation <strong>The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation   to forecast doll prices in the year 2014.   is the quarterly price of dolls,and   and   are dummy variables for quarters I,II,and III,respectively.   What is the estimated intercept of the trend line in the 4th quarter?</strong> A)22.8 B)16 C)18 D)20 E)none of the above to forecast doll prices in the year 2014. <strong>The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation   to forecast doll prices in the year 2014.   is the quarterly price of dolls,and   and   are dummy variables for quarters I,II,and III,respectively.   What is the estimated intercept of the trend line in the 4th quarter?</strong> A)22.8 B)16 C)18 D)20 E)none of the above is the quarterly price of dolls,and <strong>The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation   to forecast doll prices in the year 2014.   is the quarterly price of dolls,and   and   are dummy variables for quarters I,II,and III,respectively.   What is the estimated intercept of the trend line in the 4th quarter?</strong> A)22.8 B)16 C)18 D)20 E)none of the above and <strong>The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation   to forecast doll prices in the year 2014.   is the quarterly price of dolls,and   and   are dummy variables for quarters I,II,and III,respectively.   What is the estimated intercept of the trend line in the 4th quarter?</strong> A)22.8 B)16 C)18 D)20 E)none of the above are dummy variables for quarters I,II,and III,respectively. <strong>The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation   to forecast doll prices in the year 2014.   is the quarterly price of dolls,and   and   are dummy variables for quarters I,II,and III,respectively.   What is the estimated intercept of the trend line in the 4th quarter?</strong> A)22.8 B)16 C)18 D)20 E)none of the above What is the estimated intercept of the trend line in the 4th quarter?

A)22.8
B)16
C)18
D)20
E)none of the above
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A forecaster used the regression equation <strong>A forecaster used the regression equation   and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and   and   are dummy variables for quarters I,II,and III.   What is the estimated intercept of the trend line in the fourth quarter?</strong> A)0 B)40 C)55 D)70 E)none of the above and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and <strong>A forecaster used the regression equation   and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and   and   are dummy variables for quarters I,II,and III.   What is the estimated intercept of the trend line in the fourth quarter?</strong> A)0 B)40 C)55 D)70 E)none of the above and <strong>A forecaster used the regression equation   and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and   and   are dummy variables for quarters I,II,and III.   What is the estimated intercept of the trend line in the fourth quarter?</strong> A)0 B)40 C)55 D)70 E)none of the above are dummy variables for quarters I,II,and III. <strong>A forecaster used the regression equation   and quarterly sales data for 1996I-2013IV t = 1,...,64)for an appliance manufacturer to obtain the results shown below.Q is quarterly sales,and   and   are dummy variables for quarters I,II,and III.   What is the estimated intercept of the trend line in the fourth quarter?</strong> A)0 B)40 C)55 D)70 E)none of the above What is the estimated intercept of the trend line in the fourth quarter?

A)0
B)40
C)55
D)70
E)none of the above
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The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation <strong>The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation   to forecast doll prices in the year 2014.   is the quarterly price of dolls,and   and   are dummy variables for quarters I,II,and III,respectively.   At the 2 percent level of statistical significance,the results indicate that price in the ________ quarter is significantly lower than in any other quarter.</strong> A)1st B)2nd C)3rd D)4th to forecast doll prices in the year 2014. <strong>The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation   to forecast doll prices in the year 2014.   is the quarterly price of dolls,and   and   are dummy variables for quarters I,II,and III,respectively.   At the 2 percent level of statistical significance,the results indicate that price in the ________ quarter is significantly lower than in any other quarter.</strong> A)1st B)2nd C)3rd D)4th is the quarterly price of dolls,and <strong>The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation   to forecast doll prices in the year 2014.   is the quarterly price of dolls,and   and   are dummy variables for quarters I,II,and III,respectively.   At the 2 percent level of statistical significance,the results indicate that price in the ________ quarter is significantly lower than in any other quarter.</strong> A)1st B)2nd C)3rd D)4th and <strong>The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation   to forecast doll prices in the year 2014.   is the quarterly price of dolls,and   and   are dummy variables for quarters I,II,and III,respectively.   At the 2 percent level of statistical significance,the results indicate that price in the ________ quarter is significantly lower than in any other quarter.</strong> A)1st B)2nd C)3rd D)4th are dummy variables for quarters I,II,and III,respectively. <strong>The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation   to forecast doll prices in the year 2014.   is the quarterly price of dolls,and   and   are dummy variables for quarters I,II,and III,respectively.   At the 2 percent level of statistical significance,the results indicate that price in the ________ quarter is significantly lower than in any other quarter.</strong> A)1st B)2nd C)3rd D)4th At the 2 percent level of statistical significance,the results indicate that price in the ________ quarter is significantly lower than in any other quarter.

A)1st
B)2nd
C)3rd
D)4th
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The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation <strong>The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation   to forecast doll prices in the year 2014.   is the quarterly price of dolls,and   and   are dummy variables for quarters I,II,and III,respectively.   In any given year price tends to vary from quarter to quarter as follows:</strong> A)P<sub>I</sub> > P<sub>II</sub> > P<sub>III</sub> > P<sub>IV</sub> B)P<sub>I</sub> > P<sub>IV</sub> > P<sub>III</sub> > P<sub>II</sub> C)P<sub>II</sub> > P<sub>III</sub> > P<sub>IV</sub> > P<sub>I</sub> D)P<sub>III</sub> > P<sub>I</sub> > P<sub>II</sub> > P<sub>IV</sub> E)P<sub>IV</sub> > P<sub>III</sub> > P<sub>II</sub> > P<sub>I</sub> to forecast doll prices in the year 2014. <strong>The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation   to forecast doll prices in the year 2014.   is the quarterly price of dolls,and   and   are dummy variables for quarters I,II,and III,respectively.   In any given year price tends to vary from quarter to quarter as follows:</strong> A)P<sub>I</sub> > P<sub>II</sub> > P<sub>III</sub> > P<sub>IV</sub> B)P<sub>I</sub> > P<sub>IV</sub> > P<sub>III</sub> > P<sub>II</sub> C)P<sub>II</sub> > P<sub>III</sub> > P<sub>IV</sub> > P<sub>I</sub> D)P<sub>III</sub> > P<sub>I</sub> > P<sub>II</sub> > P<sub>IV</sub> E)P<sub>IV</sub> > P<sub>III</sub> > P<sub>II</sub> > P<sub>I</sub> is the quarterly price of dolls,and <strong>The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation   to forecast doll prices in the year 2014.   is the quarterly price of dolls,and   and   are dummy variables for quarters I,II,and III,respectively.   In any given year price tends to vary from quarter to quarter as follows:</strong> A)P<sub>I</sub> > P<sub>II</sub> > P<sub>III</sub> > P<sub>IV</sub> B)P<sub>I</sub> > P<sub>IV</sub> > P<sub>III</sub> > P<sub>II</sub> C)P<sub>II</sub> > P<sub>III</sub> > P<sub>IV</sub> > P<sub>I</sub> D)P<sub>III</sub> > P<sub>I</sub> > P<sub>II</sub> > P<sub>IV</sub> E)P<sub>IV</sub> > P<sub>III</sub> > P<sub>II</sub> > P<sub>I</sub> and <strong>The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation   to forecast doll prices in the year 2014.   is the quarterly price of dolls,and   and   are dummy variables for quarters I,II,and III,respectively.   In any given year price tends to vary from quarter to quarter as follows:</strong> A)P<sub>I</sub> > P<sub>II</sub> > P<sub>III</sub> > P<sub>IV</sub> B)P<sub>I</sub> > P<sub>IV</sub> > P<sub>III</sub> > P<sub>II</sub> C)P<sub>II</sub> > P<sub>III</sub> > P<sub>IV</sub> > P<sub>I</sub> D)P<sub>III</sub> > P<sub>I</sub> > P<sub>II</sub> > P<sub>IV</sub> E)P<sub>IV</sub> > P<sub>III</sub> > P<sub>II</sub> > P<sub>I</sub> are dummy variables for quarters I,II,and III,respectively. <strong>The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation   to forecast doll prices in the year 2014.   is the quarterly price of dolls,and   and   are dummy variables for quarters I,II,and III,respectively.   In any given year price tends to vary from quarter to quarter as follows:</strong> A)P<sub>I</sub> > P<sub>II</sub> > P<sub>III</sub> > P<sub>IV</sub> B)P<sub>I</sub> > P<sub>IV</sub> > P<sub>III</sub> > P<sub>II</sub> C)P<sub>II</sub> > P<sub>III</sub> > P<sub>IV</sub> > P<sub>I</sub> D)P<sub>III</sub> > P<sub>I</sub> > P<sub>II</sub> > P<sub>IV</sub> E)P<sub>IV</sub> > P<sub>III</sub> > P<sub>II</sub> > P<sub>I</sub> In any given year price tends to vary from quarter to quarter as follows:

A)PI > PII > PIII > PIV
B)PI > PIV > PIII > PII
C)PII > PIII > PIV > PI
D)PIII > PI > PII > PIV
E)PIV > PIII > PII > PI
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The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation <strong>The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation   to forecast doll prices in the year 2014.   is the quarterly price of dolls,and   and   are dummy variables for quarters I,II,and III,respectively.   Using the estimated time-series regression,predicted price in the 2nd quarter of 2014 is</strong> A)$48.40 B)$54.40 C)$40.40 D)$51.40 E)none of the above to forecast doll prices in the year 2014. <strong>The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation   to forecast doll prices in the year 2014.   is the quarterly price of dolls,and   and   are dummy variables for quarters I,II,and III,respectively.   Using the estimated time-series regression,predicted price in the 2nd quarter of 2014 is</strong> A)$48.40 B)$54.40 C)$40.40 D)$51.40 E)none of the above is the quarterly price of dolls,and <strong>The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation   to forecast doll prices in the year 2014.   is the quarterly price of dolls,and   and   are dummy variables for quarters I,II,and III,respectively.   Using the estimated time-series regression,predicted price in the 2nd quarter of 2014 is</strong> A)$48.40 B)$54.40 C)$40.40 D)$51.40 E)none of the above and <strong>The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation   to forecast doll prices in the year 2014.   is the quarterly price of dolls,and   and   are dummy variables for quarters I,II,and III,respectively.   Using the estimated time-series regression,predicted price in the 2nd quarter of 2014 is</strong> A)$48.40 B)$54.40 C)$40.40 D)$51.40 E)none of the above are dummy variables for quarters I,II,and III,respectively. <strong>The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation   to forecast doll prices in the year 2014.   is the quarterly price of dolls,and   and   are dummy variables for quarters I,II,and III,respectively.   Using the estimated time-series regression,predicted price in the 2nd quarter of 2014 is</strong> A)$48.40 B)$54.40 C)$40.40 D)$51.40 E)none of the above Using the estimated time-series regression,predicted price in the 2nd quarter of 2014 is

A)$48.40
B)$54.40
C)$40.40
D)$51.40
E)none of the above
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The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation <strong>The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation   to forecast doll prices in the year 2014.   is the quarterly price of dolls,and   and   are dummy variables for quarters I,II,and III,respectively.   Using the estimated time-series regression,predicted price in the 1st quarter of 2014 is</strong> A)$53.60. B)$45.60. C)$56.00. D)$37.60. E)none of the above to forecast doll prices in the year 2014. <strong>The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation   to forecast doll prices in the year 2014.   is the quarterly price of dolls,and   and   are dummy variables for quarters I,II,and III,respectively.   Using the estimated time-series regression,predicted price in the 1st quarter of 2014 is</strong> A)$53.60. B)$45.60. C)$56.00. D)$37.60. E)none of the above is the quarterly price of dolls,and <strong>The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation   to forecast doll prices in the year 2014.   is the quarterly price of dolls,and   and   are dummy variables for quarters I,II,and III,respectively.   Using the estimated time-series regression,predicted price in the 1st quarter of 2014 is</strong> A)$53.60. B)$45.60. C)$56.00. D)$37.60. E)none of the above and <strong>The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation   to forecast doll prices in the year 2014.   is the quarterly price of dolls,and   and   are dummy variables for quarters I,II,and III,respectively.   Using the estimated time-series regression,predicted price in the 1st quarter of 2014 is</strong> A)$53.60. B)$45.60. C)$56.00. D)$37.60. E)none of the above are dummy variables for quarters I,II,and III,respectively. <strong>The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation   to forecast doll prices in the year 2014.   is the quarterly price of dolls,and   and   are dummy variables for quarters I,II,and III,respectively.   Using the estimated time-series regression,predicted price in the 1st quarter of 2014 is</strong> A)$53.60. B)$45.60. C)$56.00. D)$37.60. E)none of the above Using the estimated time-series regression,predicted price in the 1st quarter of 2014 is

A)$53.60.
B)$45.60.
C)$56.00.
D)$37.60.
E)none of the above
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The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation <strong>The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation   to forecast doll prices in the year 2014.   is the quarterly price of dolls,and   and   are dummy variables for quarters I,II,and III,respectively.   At the 2 percent level of statistical significance,the estimation results indicate that price in the ________ quarter is significantly higher than in any other quarter.</strong> A)1st B)2nd C)3rd D)4th to forecast doll prices in the year 2014. <strong>The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation   to forecast doll prices in the year 2014.   is the quarterly price of dolls,and   and   are dummy variables for quarters I,II,and III,respectively.   At the 2 percent level of statistical significance,the estimation results indicate that price in the ________ quarter is significantly higher than in any other quarter.</strong> A)1st B)2nd C)3rd D)4th is the quarterly price of dolls,and <strong>The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation   to forecast doll prices in the year 2014.   is the quarterly price of dolls,and   and   are dummy variables for quarters I,II,and III,respectively.   At the 2 percent level of statistical significance,the estimation results indicate that price in the ________ quarter is significantly higher than in any other quarter.</strong> A)1st B)2nd C)3rd D)4th and <strong>The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation   to forecast doll prices in the year 2014.   is the quarterly price of dolls,and   and   are dummy variables for quarters I,II,and III,respectively.   At the 2 percent level of statistical significance,the estimation results indicate that price in the ________ quarter is significantly higher than in any other quarter.</strong> A)1st B)2nd C)3rd D)4th are dummy variables for quarters I,II,and III,respectively. <strong>The manufacturer of Beanie Baby dolls used quarterly price data for 2005I - 2013IV t = 1,...,36)and the regression equation   to forecast doll prices in the year 2014.   is the quarterly price of dolls,and   and   are dummy variables for quarters I,II,and III,respectively.   At the 2 percent level of statistical significance,the estimation results indicate that price in the ________ quarter is significantly higher than in any other quarter.</strong> A)1st B)2nd C)3rd D)4th At the 2 percent level of statistical significance,the estimation results indicate that price in the ________ quarter is significantly higher than in any other quarter.

A)1st
B)2nd
C)3rd
D)4th
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افتح القفل للوصول البطاقات البالغ عددها 65 في هذه المجموعة.