Question 1

In a regression analysis, the coefficient of determination is .4225.The coefficient of correlation in this situation is

Accepted Answer

A)  -.65 if b1 is negative. 
B)  .1785. 
C)  .18 if b1 is positive. 
D)  .4225. 
A)  -.65 if b1 is negative. 
B)  .1785. 
C)  .18 if b1 is positive. 
D)  .4225.

Question 2

A regression and correlation analysis resulted in the following information regarding a dependent variable (y) and an independent variable (x).   ​ The sample correlation coefficient equals

Accepted Answer

A)  .8045. 
B)  -.8045. 
C)  .3528. 
D)  -.3528. 
A)  .8045. 
B)  -.8045. 
C)  .3528. 
D)  -.3528.

Question 3

For the following data, the value of SSE = 12.75.   ​ The y-intercept is

Accepted Answer

A)  -1.5. 
B)  24.25. 
C)  .50. 
D)  -.71. 
A)  -1.5. 
B)  24.25. 
C)  .50. 
D)  -.71.

Question 4

If the coefficient of correlation is .4, then the slope of the regression line

Accepted Answer

A)  must also be .4. 
B)  can be either negative or positive. 
C)  must be positive. 
D)  must be .16. 
A)  must also be .4. 
B)  can be either negative or positive. 
C)  must be positive. 
D)  must be .16.

Question 5

In a regression analysis, the coefficient of correlation is .15.The coefficient of determination in this situation is

Accepted Answer

A)  .3873. 
B)  .0225. 
C)  4.00. 
D)  2.56. 
A)  .3873. 
B)  .0225. 
C)  4.00. 
D)  2.56.

Question 6

Given the following information, what is the coefficient of determination?   SSE = 420.4, SST = 1028.8

Accepted Answer

A)  .7690. 
B)  -.5914. 
C)  .5914. 
D)  .4086. 
A)  .7690. 
B)  -.5914. 
C)  .5914. 
D)  .4086.

Question 7

A regression analysis between sales (y in $1000) and advertising (x in dollars) resulted in the following equation: ​   = 30,000 + 5x
​
The above equation implies that an

Accepted Answer

A)  increase of $4 in advertising is associated with an increase of $5000 in sales. 
B)  increase of $1 in advertising is associated with an increase of $5 in sales. 
C)  increase of $1 in advertising is associated with an increase of $34,000 in sales. 
D)  increase of $1 in advertising is associated with an increase of $5000 in sales. 
A)  increase of $4 in advertising is associated with an increase of $5000 in sales. 
B)  increase of $1 in advertising is associated with an increase of $5 in sales. 
C)  increase of $1 in advertising is associated with an increase of $34,000 in sales. 
D)  increase of $1 in advertising is associated with an increase of $5000 in sales.

Question 8

For the following data, the value of SSE = 12.75.   ​ The coefficient of determination (r2) equals

Accepted Answer

A)  .7651. 
B)  -.7651. 
C)  .5854. 
D)  -.5854. 
A)  .7651. 
B)  -.7651. 
C)  .5854. 
D)  -.5854.

Question 9

When interpreting a correlation coefficient of .93, you would say that there is a _____ linear relationship between x and y.

Accepted Answer

A)  strong positive 
B)  weak positive 
C)  weak negative 
D)  strong negative 
A)  strong positive 
B)  weak positive 
C)  weak negative 
D)  strong negative

Question 10

Given the following information, the coefficient of determination is   SSE = 420.4, SST = 1028.8

Accepted Answer

A)  .7690. 
B)  -.5914. 
C)  .5914. 
D)  .4086. 
A)  .7690. 
B)  -.5914. 
C)  .5914. 
D)  .4086.

Question 11

You are given the following information about y and x.   ​ The sample correlation coefficient equals

Accepted Answer

A)  0. 
B)  +1. 
C)  -1. 
D)  -.5. 
A)  0. 
B)  +1. 
C)  -1. 
D)  -.5.

In a regression analysis, the coefficient of determination is .4225.The coefficient of correlation in this situation is

A regression and correlation analysis resulted in the following information regarding a dependent variable (y) and an independent variable (x). The sample correlation coefficient equals

For the following data, the value of SSE = 12.75. The y-intercept is

If the coefficient of correlation is .4, then the slope of the regression line

In a regression analysis, the coefficient of correlation is .15.The coefficient of determination in this situation is

Given the following information, what is the coefficient of determination? SSE = 420.4, SST = 1028.8

A regression analysis between sales (y in $1000) and advertising (x in dollars) resulted in the following equation: = 30,000 + 5x The above equation implies that an

For the following data, the value of SSE = 12.75. The coefficient of determination (r²) equals

When interpreting a correlation coefficient of .93, you would say that there is a _____ linear relationship between x and y.

Given the following information, the coefficient of determination is SSE = 420.4, SST = 1028.8

You are given the following information about y and x. The sample correlation coefficient equals

Data and Statistics

Descriptive Statistics: Tabular and Graphical Displays

Descriptive Statistics: Numerical Measures

Introduction to Probability

Discrete Probability Distributions

Continuous Probability Distributions

Sampling and Sampling Distributions

Interval Estimation

Hypothesis Tests

Inference About Means and Proportions With Two Populations

Inferences About Population Variances

Comparing Multiple Proportions, Tests of Independence and Goodness of Fit

Experimental Design and Analysis of Variance

Multiple Regression

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Exam 14: Simple Linear Regression

In a regression analysis, the coefficient of determination is .4225.The coefficient of correlation in this situation is

A regression and correlation analysis resulted in the following information regarding a dependent variable (y) and an independent variable (x). ​ The sample correlation coefficient equals

For the following data, the value of SSE = 12.75. ​ The y-intercept is

If the coefficient of correlation is .4, then the slope of the regression line

In a regression analysis, the coefficient of correlation is .15.The coefficient of determination in this situation is

Given the following information, what is the coefficient of determination? SSE = 420.4, SST = 1028.8

A regression analysis between sales (y in $1000) and advertising (x in dollars) resulted in the following equation: ​ = 30,000 + 5x ​ The above equation implies that an

For the following data, the value of SSE = 12.75. ​ The coefficient of determination (r2) equals

When interpreting a correlation coefficient of .93, you would say that there is a _____ linear relationship between x and y.

Given the following information, the coefficient of determination is SSE = 420.4, SST = 1028.8

You are given the following information about y and x. ​ The sample correlation coefficient equals

Data and Statistics

Descriptive Statistics: Tabular and Graphical Displays

Descriptive Statistics: Numerical Measures

Introduction to Probability

Discrete Probability Distributions

Continuous Probability Distributions

Sampling and Sampling Distributions

Interval Estimation

Hypothesis Tests

Inference About Means and Proportions With Two Populations

Inferences About Population Variances

Comparing Multiple Proportions, Tests of Independence and Goodness of Fit

Experimental Design and Analysis of Variance

Multiple Regression

Filters

A regression and correlation analysis resulted in the following information regarding a dependent variable (y) and an independent variable (x). The sample correlation coefficient equals

For the following data, the value of SSE = 12.75. The y-intercept is

A regression analysis between sales (y in $1000) and advertising (x in dollars) resulted in the following equation: = 30,000 + 5x The above equation implies that an

For the following data, the value of SSE = 12.75. The coefficient of determination (r²) equals

You are given the following information about y and x. The sample correlation coefficient equals