Deck 17: Correlation

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Question
A statistic that measures the relationship between variables while eliminating the effects of other variables is called the

A) correlation coefficient.
B) regression coefficient.
C) standard error of estimate.
D) partial correlation coefficient.
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Question
The sum (y^yˉ)2\sum(\hat{y}-\bar{y})^{2} is called the __________ sum of squares.

A) regression
B) total
C) at least
D) residual
Question
The sum (yyˉ)2\sum(y-\bar{y})^{2} is called the __________ sum of squares.

A) regression
B) total
C) at least
D) residual
Question
In regression analysis, the quantity that gives the amount by which yy changes for a unit change in xx is called the

A) partial correlation coefficient.
B) slope of the regression line.
C) yy -intercept of the regression line.
D) correlation coefficient.
Question
The correlation coefficient is equal to

A) the total variation.
B) the unexplained variation.
C) one minus the proportion of unexplained variation.
D) the square root of the explained variation.
Question
If the hypothesis that Q=0Q=0 is rejected, then

A) ses_{e} must be zero.
B) r2r^{2} must be close to one.
C) the regression slope may be close to zero.
D) there is a strong relationship between xx and yy .
Question
Table 17.1
The mathematics S.A.T. scores and college grade point averages of eight students are given below.
 Table 17.1 The mathematics S.A.T. scores and college grade point averages of eight students are given below.    -Use Table 17.1 to solve the following: a. Calculate the correlation coefficient  r . b. What is the proportion of total variation in  y  that is accounted for by  x  ? c. Test the null hypothesis of no relationship between the two variables at  \alpha=0.05 . d. Calculate a  95 \%  confidence interval for  \mathrm{Q} .<div style=padding-top: 35px>

-Use Table 17.1 to solve the following:
a. Calculate the correlation coefficient rr .
b. What is the proportion of total variation in yy that is accounted for by xx ?
c. Test the null hypothesis of no relationship between the two variables at α=0.05\alpha=0.05 .
d. Calculate a 95%95 \% confidence interval for Q\mathrm{Q} .
Question
In a multiple regression problem, the regression sum of squares is (y^yˉ)2=12,000\sum(\hat{y}-\bar{y})^{2}=12,000 and the total sum of squares is (yyˉ)2=20,000\sum(y-\bar{y})^{2}=20,000 . Find the value of the multiple correlation coefficient.
Question
Table 17.2
Below is a list of countries with their 1979 "excess monetary growth*" ( along with their mid -1980 inflation rate).
 Table 17.2 Below is a list of countries with their 1979 excess monetary growth* ( along with their mid -1980 inflation rate).   *Excess monetary growth is the extent to which money supply growth exceeds to the growth of constant dollar GNP; specifically, the ratio of 1979 M2 to 1978 M2 is divided by the ratio of 1979 real GNP to 1978 real GNP.  -Use Table 17.2 to solve the following: a. Calculate the correlation coefficient. b. What is the proportion of the total variation in inflation rate that is explained by excess monetary growth? c. Test the null hypothesis that  \mathrm{Q}=0.3  at  \alpha=0.01 . d. Calculate a  99 \%  confidence interval for  \mathrm{Q} .<div style=padding-top: 35px>  *Excess monetary growth is the extent to which money supply growth exceeds to the growth of constant dollar GNP; specifically, the ratio of 1979 M2 to 1978 M2 is divided by the ratio of 1979 real GNP to 1978 real GNP.

-Use Table 17.2 to solve the following:
a. Calculate the correlation coefficient.
b. What is the proportion of the total variation in inflation rate that is explained by excess monetary growth?
c. Test the null hypothesis that Q=0.3\mathrm{Q}=0.3 at α=0.01\alpha=0.01 .
d. Calculate a 99%99 \% confidence interval for Q\mathrm{Q} .
Question
Table 17.3
The table below gives the number of housing starts and the unemployment rates for a sequence of quarters:
 Table 17.3 The table below gives the number of housing starts and the unemployment rates for a sequence of quarters:    -Use Table 17.3 to solve the following: a. Calculate the correlation coefficient. b. What is the proportion of the total variation in unemployment rates that is explained by the number of housing starts? c. Test the null hypothesis that  \mathrm{Q}=-0.1  at  \alpha=0.05 .<div style=padding-top: 35px>

-Use Table 17.3 to solve the following:
a. Calculate the correlation coefficient.
b. What is the proportion of the total variation in unemployment rates that is explained by the number of housing starts?
c. Test the null hypothesis that Q=0.1\mathrm{Q}=-0.1 at α=0.05\alpha=0.05 .
Question
A financial economist wants to evaluate how interest rates affect the inflation rate. Here are some results on yearly prime interest rates (x)(x) and inflation rates (y)(y) for the 13 years 1965 through 1977. xy=500,y=78\sum x y=500, \sum y=78 , x2=450,y2=600,x=65\sum x^{2}=450, \sum y^{2}=600, \sum x=65 .
For the situation above:
a. Calculate the sample coefficient of determination and correlation coefficient.
b. Give the proportion of variation explained by the regression line.
c. Test the null hypothesis of no correlation against a two-tailed alternative at the 0.01 significance level.
Question
For two sets of data xx and y,r=0.75y, r=0.75 . Suppose each value of xx is measured in feet. If each xx value is converted to inches by multiplying by 12, what is the new value of rr ? Suppose, instead, a constant is added to each value of xx . What is the new rr value?
Question
The variables circulation (x1)\left(x_{1}\right) and advertising income (x2)\left(x_{2}\right) are used to predict the annual profit of a daily newspaper ( yy ). A multiple correlation coefficient of 0.65 is obtained. For predicting annual profit on the basis of advertising income alone, a value of r=0.78r=0.78 is found. Comment on these results.
Question
If rr has a value of 0.60 , then 60%60 \% of the variation in yy can be explained by the variation in xx .
Question
In order to find the correlation coefficient, the estimated least-squares regression line is always found first.
Question
It is never possible for (y^yˉ)2\sum(\hat{y}-\bar{y})^{2} to exceed (yyˉ)2\sum(y-\bar{y})^{2} .
Question
A high correlation between two variables will not prove that one variable causes the other to occur.
Question
The hypothesis of no correlation between two variables can always be rejected if rr is greater than zero.
Question
The value of zz is a natural logarithm.
Question
If the correlation between xx and yy is not zero, then the variability about the estimated regression line will be less than the total variability in yy .
Question
The value r2r^{2} can assume any value between __________.
Question
The sample coefficient rr is an estimate of __________.
Question
If the multiple correlation coefficient is 0.80 , then the proportion of total variation in yy that can be attributed to the xx 's is __________.
Question
The least squares equation y=3+4x1+5x2y=3+4 x_{1}+5 x_{2} is considered to be a better predictor of yy than the least squares equation y=7+5x3y=7+5 x_{3} , if the multiple correlation coefficient is __________ than the absolute value of the correlation coefficient involving x1x_{1} and x3x_{3} .
Question
If a regression line is horizontal, then the correlation between the two variables is __________.
Question
If all data points lie on a regression line having a nonzero slope, then r2r^{2} equals __________.
Question
If all data points lie on the regression line, then the standard error of estimate is __________.
Question
The proportion of total variation which is unexplained can be denoted in symbols by __________.
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Deck 17: Correlation
1
A statistic that measures the relationship between variables while eliminating the effects of other variables is called the

A) correlation coefficient.
B) regression coefficient.
C) standard error of estimate.
D) partial correlation coefficient.
partial correlation coefficient.
2
The sum (y^yˉ)2\sum(\hat{y}-\bar{y})^{2} is called the __________ sum of squares.

A) regression
B) total
C) at least
D) residual
regression
3
The sum (yyˉ)2\sum(y-\bar{y})^{2} is called the __________ sum of squares.

A) regression
B) total
C) at least
D) residual
total
4
In regression analysis, the quantity that gives the amount by which yy changes for a unit change in xx is called the

A) partial correlation coefficient.
B) slope of the regression line.
C) yy -intercept of the regression line.
D) correlation coefficient.
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5
The correlation coefficient is equal to

A) the total variation.
B) the unexplained variation.
C) one minus the proportion of unexplained variation.
D) the square root of the explained variation.
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6
If the hypothesis that Q=0Q=0 is rejected, then

A) ses_{e} must be zero.
B) r2r^{2} must be close to one.
C) the regression slope may be close to zero.
D) there is a strong relationship between xx and yy .
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Unlock for access to all 28 flashcards in this deck.
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7
Table 17.1
The mathematics S.A.T. scores and college grade point averages of eight students are given below.
 Table 17.1 The mathematics S.A.T. scores and college grade point averages of eight students are given below.    -Use Table 17.1 to solve the following: a. Calculate the correlation coefficient  r . b. What is the proportion of total variation in  y  that is accounted for by  x  ? c. Test the null hypothesis of no relationship between the two variables at  \alpha=0.05 . d. Calculate a  95 \%  confidence interval for  \mathrm{Q} .

-Use Table 17.1 to solve the following:
a. Calculate the correlation coefficient rr .
b. What is the proportion of total variation in yy that is accounted for by xx ?
c. Test the null hypothesis of no relationship between the two variables at α=0.05\alpha=0.05 .
d. Calculate a 95%95 \% confidence interval for Q\mathrm{Q} .
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8
In a multiple regression problem, the regression sum of squares is (y^yˉ)2=12,000\sum(\hat{y}-\bar{y})^{2}=12,000 and the total sum of squares is (yyˉ)2=20,000\sum(y-\bar{y})^{2}=20,000 . Find the value of the multiple correlation coefficient.
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9
Table 17.2
Below is a list of countries with their 1979 "excess monetary growth*" ( along with their mid -1980 inflation rate).
 Table 17.2 Below is a list of countries with their 1979 excess monetary growth* ( along with their mid -1980 inflation rate).   *Excess monetary growth is the extent to which money supply growth exceeds to the growth of constant dollar GNP; specifically, the ratio of 1979 M2 to 1978 M2 is divided by the ratio of 1979 real GNP to 1978 real GNP.  -Use Table 17.2 to solve the following: a. Calculate the correlation coefficient. b. What is the proportion of the total variation in inflation rate that is explained by excess monetary growth? c. Test the null hypothesis that  \mathrm{Q}=0.3  at  \alpha=0.01 . d. Calculate a  99 \%  confidence interval for  \mathrm{Q} . *Excess monetary growth is the extent to which money supply growth exceeds to the growth of constant dollar GNP; specifically, the ratio of 1979 M2 to 1978 M2 is divided by the ratio of 1979 real GNP to 1978 real GNP.

-Use Table 17.2 to solve the following:
a. Calculate the correlation coefficient.
b. What is the proportion of the total variation in inflation rate that is explained by excess monetary growth?
c. Test the null hypothesis that Q=0.3\mathrm{Q}=0.3 at α=0.01\alpha=0.01 .
d. Calculate a 99%99 \% confidence interval for Q\mathrm{Q} .
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10
Table 17.3
The table below gives the number of housing starts and the unemployment rates for a sequence of quarters:
 Table 17.3 The table below gives the number of housing starts and the unemployment rates for a sequence of quarters:    -Use Table 17.3 to solve the following: a. Calculate the correlation coefficient. b. What is the proportion of the total variation in unemployment rates that is explained by the number of housing starts? c. Test the null hypothesis that  \mathrm{Q}=-0.1  at  \alpha=0.05 .

-Use Table 17.3 to solve the following:
a. Calculate the correlation coefficient.
b. What is the proportion of the total variation in unemployment rates that is explained by the number of housing starts?
c. Test the null hypothesis that Q=0.1\mathrm{Q}=-0.1 at α=0.05\alpha=0.05 .
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11
A financial economist wants to evaluate how interest rates affect the inflation rate. Here are some results on yearly prime interest rates (x)(x) and inflation rates (y)(y) for the 13 years 1965 through 1977. xy=500,y=78\sum x y=500, \sum y=78 , x2=450,y2=600,x=65\sum x^{2}=450, \sum y^{2}=600, \sum x=65 .
For the situation above:
a. Calculate the sample coefficient of determination and correlation coefficient.
b. Give the proportion of variation explained by the regression line.
c. Test the null hypothesis of no correlation against a two-tailed alternative at the 0.01 significance level.
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12
For two sets of data xx and y,r=0.75y, r=0.75 . Suppose each value of xx is measured in feet. If each xx value is converted to inches by multiplying by 12, what is the new value of rr ? Suppose, instead, a constant is added to each value of xx . What is the new rr value?
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13
The variables circulation (x1)\left(x_{1}\right) and advertising income (x2)\left(x_{2}\right) are used to predict the annual profit of a daily newspaper ( yy ). A multiple correlation coefficient of 0.65 is obtained. For predicting annual profit on the basis of advertising income alone, a value of r=0.78r=0.78 is found. Comment on these results.
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14
If rr has a value of 0.60 , then 60%60 \% of the variation in yy can be explained by the variation in xx .
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15
In order to find the correlation coefficient, the estimated least-squares regression line is always found first.
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16
It is never possible for (y^yˉ)2\sum(\hat{y}-\bar{y})^{2} to exceed (yyˉ)2\sum(y-\bar{y})^{2} .
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17
A high correlation between two variables will not prove that one variable causes the other to occur.
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18
The hypothesis of no correlation between two variables can always be rejected if rr is greater than zero.
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19
The value of zz is a natural logarithm.
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20
If the correlation between xx and yy is not zero, then the variability about the estimated regression line will be less than the total variability in yy .
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21
The value r2r^{2} can assume any value between __________.
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22
The sample coefficient rr is an estimate of __________.
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23
If the multiple correlation coefficient is 0.80 , then the proportion of total variation in yy that can be attributed to the xx 's is __________.
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24
The least squares equation y=3+4x1+5x2y=3+4 x_{1}+5 x_{2} is considered to be a better predictor of yy than the least squares equation y=7+5x3y=7+5 x_{3} , if the multiple correlation coefficient is __________ than the absolute value of the correlation coefficient involving x1x_{1} and x3x_{3} .
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25
If a regression line is horizontal, then the correlation between the two variables is __________.
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26
If all data points lie on a regression line having a nonzero slope, then r2r^{2} equals __________.
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27
If all data points lie on the regression line, then the standard error of estimate is __________.
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28
The proportion of total variation which is unexplained can be denoted in symbols by __________.
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