Deck 2: Understanding Statistical Relationships and Models in Economics
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Deck 2: Understanding Statistical Relationships and Models in Economics
1
a mathematical model assumes----- relationship between variables
A)inexact
B)exact
C)probable
D)none of the above
A)inexact
B)exact
C)probable
D)none of the above
exact
2
a function that can be represented as straight line graphically is
A)non linear
B)linear
C)polynomial
D)quadratic
A)non linear
B)linear
C)polynomial
D)quadratic
linear
3
in the function Y=?1+?2X+u, the term 'u' is called
A)disturbance term
B)intercept
C)slope
D)dependent term
A)disturbance term
B)intercept
C)slope
D)dependent term
disturbance term
4
A model in which regressand is logarithmic is called...............
A)regression through the origin
B)lin log model
C)log lin model
D)clrm
A)regression through the origin
B)lin log model
C)log lin model
D)clrm
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5
the function Y=?1+?2X+u is an example of
A)linear regression model
B)econometric model
C)all of the above
D)none of the above
A)linear regression model
B)econometric model
C)all of the above
D)none of the above
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6
confirmation or refutation of economic theories on the basis of sample evidence is based on the branch of statistical theory called
A)statistical inference
B)standard deviation
C)arithmetic mean
D)regression analysis
A)statistical inference
B)standard deviation
C)arithmetic mean
D)regression analysis
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7
the term regression was first introduced by
A)irwing fisher
B)laspayer
C)francis galton
D)pearson
A)irwing fisher
B)laspayer
C)francis galton
D)pearson
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8
Reciprocal and log lin models are ............. in variables.
A)non linear
B)linear
C)functional
D)dependent
A)non linear
B)linear
C)functional
D)dependent
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9
the function Y=?1+?2X+u is an example of
A)non linear regression model
B)linear regression model
C)quadratic regression model
D)none of the above
A)non linear regression model
B)linear regression model
C)quadratic regression model
D)none of the above
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10
In the Keynesian linear consumption function Y=?1+?2X, the independent variable is
A)?1
B). x
C)y
D)?2
A)?1
B). x
C)y
D)?2
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11
Statistical relationships assumes that variables are
A)random
B)stochastic
C)all of the above
D)none of the above
A)random
B)stochastic
C)all of the above
D)none of the above
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12
A statistical relationship per say cannot logically imply
A)regression
B)causation
C)error
D)random
A)regression
B)causation
C)error
D)random
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13
The measure that analyses the degree of linear association between two variables is called
A)correlation coefficient
B)regression coefficient
C)significance level
D)testing of hypothesis
A)correlation coefficient
B)regression coefficient
C)significance level
D)testing of hypothesis
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14
In the Keynesian linear consumption function Y=?1+?2X, X represents
A)income
B)consumption expenditure
C)output
D)price
A)income
B)consumption expenditure
C)output
D)price
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15
Correlation analysis is concerned with
A)prediction of future value
B)prediction of average value
C)degree of association among variables
D)testing of hypothesis
A)prediction of future value
B)prediction of average value
C)degree of association among variables
D)testing of hypothesis
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16
Correlation theory is based on the assumption of
A)randomness of variables
B)conditional mean
C)random errors
D)specification
A)randomness of variables
B)conditional mean
C)random errors
D)specification
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17
The correlation coefficient between the mathematics and economics was found to be 0.64. What will be the value of correlation coefficient between economics and mathematics
A)0.32
B)-0.64
C)0.64
D)1.28
A)0.32
B)-0.64
C)0.64
D)1.28
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18
the law of universal regression was first introduced by
A)irwing fisher
B)laspayer
C)francis galton
D)pearson
A)irwing fisher
B)laspayer
C)francis galton
D)pearson
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19
In ------ analysis there is no distinction between dependent and explanatory variables
A)regression
B)correlation
C)hypothesis testing
D)estimation
A)regression
B)correlation
C)hypothesis testing
D)estimation
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20
If we are studying the dependence of a variable on a single explanatory variable, the analysis is called
A)two variable regression analysis
B)multiple regression analysis
C)single regression analysis
D)none of the above
A)two variable regression analysis
B)multiple regression analysis
C)single regression analysis
D)none of the above
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21
If we are studying the dependence of a variable on more than one explanatory variable, the analysis is called
A)two variable regression analysis
B)multiple regression analysis
C)single regression analysis
D)none of the above
A)two variable regression analysis
B)multiple regression analysis
C)single regression analysis
D)none of the above
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22
The term "random" is synonym for the term
A)stochastic
B)variable
C)error
D)regression
A)stochastic
B)variable
C)error
D)regression
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23
If the data is collected at one point in time, it is called
A)time series data
B)cross section data
C)pooled data
D)none of the above
A)time series data
B)cross section data
C)pooled data
D)none of the above
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24
If the data is collected over a period of time, it is called
A)time series data
B)cross section data
C)pooled data
D)none of the above
A)time series data
B)cross section data
C)pooled data
D)none of the above
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25
The combination of time series and cross sectional data is known as
A)pooled data
B)panel data
C)longitudinal data
D)none of the above
A)pooled data
B)panel data
C)longitudinal data
D)none of the above
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