Question 1

The critical value to test the significance of the regression coefficients using α = 0.05 is _____.

Accepted Answer

A) 2.145 
B) 2.179 
C) 2.131 
D) 2.201 
A) 2.145 
B) 2.179 
C) 2.131 
D) 2.201 D

Question 2

Model building is the process of deciding which dependent variables should be part of a final regression model.

Accepted Answer

A) True 
 B)False  False

Question 3

The 95% confidence interval for the regression coefficient for the Living Area variable is ______ .

Accepted Answer

A) (26, 148) 
B) (- 63, 237) 
C) (- 23, 197) 
D) (60, 114) 
A) (26, 148) 
B) (- 63, 237) 
C) (- 23, 197) 
D) (60, 114) A

Question 4

The critical value for the hypothesis test for the overall regression model using α = 0.05 is _____ .

Accepted Answer

A) 3.256 
B) 2.596 
C) 5.197 
D) 2.947 
A) 3.256 
B) 2.596 
C) 5.197 
D) 2.947

Question 5

The dummy variable that is assigned a 1 and the dummy variable that is assigned a 0 are arbitrary choices.

Accepted Answer

A) True 
 B)False

Question 6

When the population slope is equal to zero, there is a relationship between the dependent and independent variables.

Accepted Answer

A) True 
 B)False

Question 7

The p- value for the hypothesis test for the overall regression model is ______.

Accepted Answer

A) 0.0000 
B) 0.4000 
C) 0.0005 
D) 0.0018 
A) 0.0000 
B) 0.4000 
C) 0.0005 
D) 0.0018

Question 8

The mean square error is found by dividing the sum of squares error by the total number of observations minus one (n - 1).

Accepted Answer

A) True 
 B)False

Question 9

When using best subsets regression with a model that has four independent variables, a total of ________ different combinations of regression models will be considered.

Accepted Answer

A) 18 
B) 15 
C) 4 
D) 12 
A) 18 
B) 15 
C) 4 
D) 12

Question 10

Which one of the following statements is true concerning the 95% confidence interval for the regression coefficient for the TO variable?

Accepted Answer

A) Because the confidence interval does not include zero, we have evidence to conclude that there is a relationship between the turnover differential per season and the average number of wins per season for a team. 
B) Because the confidence interval includes zero, we have evidence to conclude that there is no relationship between the turnover differential per season and the average number of wins per season for a team. 
C) Because the confidence interval does not include zero, we have evidence to conclude that there is no relationship between the turnover differential per season and the average number of wins per season for a team. 
D) Because the confidence interval includes zero, we have evidence to conclude that there is a relationship between the turnover differential per season and the average number of wins per season for a team. 
A) Because the confidence interval does not include zero, we have evidence to conclude that there is a relationship between the turnover differential per season and the average number of wins per season for a team. 
B) Because the confidence interval includes zero, we have evidence to conclude that there is no relationship between the turnover differential per season and the average number of wins per season for a team. 
C) Because the confidence interval does not include zero, we have evidence to conclude that there is no relationship between the turnover differential per season and the average number of wins per season for a team. 
D) Because the confidence interval includes zero, we have evidence to conclude that there is a relationship between the turnover differential per season and the average number of wins per season for a team.

Question 11

The variable $$\hat { y }$$ represents the ______ in the regression model.

Accepted Answer

A) residual 
B) value of the independent variable 
C) predicted value for the dependent variable 
D) value of the dependent variable 
A) residual 
B) value of the independent variable 
C) predicted value for the dependent variable 
D) value of the dependent variable

Question 12

The test statistic for testing the significance for the regression coefficient follows the _____.

Accepted Answer

A) normal distribution 
B) F- distribution 
C) Student's t- distribution 
D) chi- square distribution 
A) normal distribution 
B) F- distribution 
C) Student's t- distribution 
D) chi- square distribution

Question 13

The test statistic for testing the significance of the Living Area variable is _______.

Accepted Answer

A) 3.857 
B) 5.028 
C) 4.690 
D) 3.135 
A) 3.857 
B) 5.028 
C) 4.690 
D) 3.135

Question 14

The critical value to test the significance of the regression coefficients using α = 0.05 is _______.

Accepted Answer

A) 1.945 
B) 1.831 
C) 2.048 
D) 2.201 
A) 1.945 
B) 1.831 
C) 2.048 
D) 2.201

Question 15

The multiple coefficient of determination for this model is ______.

Accepted Answer

A) 0.6521 
B) 0.6019 
C) 0.8075 
D) 0.6148 
A) 0.6521 
B) 0.6019 
C) 0.8075 
D) 0.6148

Question 16

The mean square regression for this model is _______.

Accepted Answer

A) 66.90 
B) 267.61 
C) 60.23 
D) 3.01 
A) 66.90 
B) 267.61 
C) 60.23 
D) 3.01

Question 17

The degrees of freedom for the sum of squares regression are _______.

Accepted Answer

A) 2 
B) 28 
C) 3 
D) 31 
A) 2 
B) 28 
C) 3 
D) 31

Question 18

The goal is for the Cp statistic to be less than or equal to k + 1, where k equals the number of independent variables.

Accepted Answer

A) True 
 B)False

Question 19

Every additional point per game will ____________.

Accepted Answer

A) increase the average number of wins per season by 0.3523 
B) decrease the average number of wins per season by 1.5572 
C) increase the average number of wins per season by 1.5572 
D) decrease the average number of wins per season by 0.3523 
A) increase the average number of wins per season by 0.3523 
B) decrease the average number of wins per season by 1.5572 
C) increase the average number of wins per season by 1.5572 
D) decrease the average number of wins per season by 0.3523

Question 20

Which one of the following statements describes the results of the hypothesis test for the overall regression model using α = 0.05?

Accepted Answer

A) Because the p- value is greater than alpha, we reject the null hypothesis and conclude that there is a relationship between the dependent variable and the independent variables. 
B) Because the p- value is less than alpha, we reject the null hypothesis and conclude that there is a relationship between the dependent variable and the independent variables. 
C) Because the p- value is less than alpha, we fail to reject the null hypothesis and conclude that there is no relationship between the dependent variable and the independent variables. 
D) Because the p- value is greater than alpha, we fail to reject the null hypothesis and conclude that there is no relationship between the dependent variable and the independent variables. 
A) Because the p- value is greater than alpha, we reject the null hypothesis and conclude that there is a relationship between the dependent variable and the independent variables. 
B) Because the p- value is less than alpha, we reject the null hypothesis and conclude that there is a relationship between the dependent variable and the independent variables. 
C) Because the p- value is less than alpha, we fail to reject the null hypothesis and conclude that there is no relationship between the dependent variable and the independent variables. 
D) Because the p- value is greater than alpha, we fail to reject the null hypothesis and conclude that there is no relationship between the dependent variable and the independent variables.

The critical value to test the significance of the regression coefficients using α = 0.05 is _____.

Model building is the process of deciding which dependent variables should be part of a final regression model.

The 95% confidence interval for the regression coefficient for the Living Area variable is ______ .

The critical value for the hypothesis test for the overall regression model using α = 0.05 is _____ .

The dummy variable that is assigned a 1 and the dummy variable that is assigned a 0 are arbitrary choices.

When the population slope is equal to zero, there is a relationship between the dependent and independent variables.

The p- value for the hypothesis test for the overall regression model is ______.

The mean square error is found by dividing the sum of squares error by the total number of observations minus one (n - 1).

When using best subsets regression with a model that has four independent variables, a total of ________ different combinations of regression models will be considered.

Which one of the following statements is true concerning the 95% confidence interval for the regression coefficient for the TO variable?

The variable $\hat { y }$ represents the ______ in the regression model.

The test statistic for testing the significance for the regression coefficient follows the _____.

The test statistic for testing the significance of the Living Area variable is _______.

The critical value to test the significance of the regression coefficients using α = 0.05 is _______.

The multiple coefficient of determination for this model is ______.

The mean square regression for this model is _______.

The degrees of freedom for the sum of squares regression are _______.

The goal is for the Cp statistic to be less than or equal to k + 1, where k equals the number of independent variables.

Every additional point per game will ____________.

Which one of the following statements describes the results of the hypothesis test for the overall regression model using α = 0.05?

Healthy Change

Psychosocial Health

Stress

Relationships and Sexuality

Reproductive Choices

Addiction and Drug Abuse

Alcohol and Tobacco

Nutrition

Weight Management and Body Image

Fitness

Cvd, Cancer, and Diabetes

Infectious Conditions

Violence and Unintentional Injuries

Environmental Health

Forecasting Techniques and Analysis for Time Series Data

Filters

Exam 15: Consumerism and Complementary and Alternative Medicine

The critical value to test the significance of the regression coefficients using α = 0.05 is _____.

Model building is the process of deciding which dependent variables should be part of a final regression model.

The 95% confidence interval for the regression coefficient for the Living Area variable is ______ .

The critical value for the hypothesis test for the overall regression model using α = 0.05 is _____ .

The dummy variable that is assigned a 1 and the dummy variable that is assigned a 0 are arbitrary choices.

When the population slope is equal to zero, there is a relationship between the dependent and independent variables.

The p- value for the hypothesis test for the overall regression model is ______.

The mean square error is found by dividing the sum of squares error by the total number of observations minus one (n - 1).

When using best subsets regression with a model that has four independent variables, a total of ________ different combinations of regression models will be considered.

Which one of the following statements is true concerning the 95% confidence interval for the regression coefficient for the TO variable?

The variable y^\hat { y }y^​ represents the ______ in the regression model.

The test statistic for testing the significance for the regression coefficient follows the _____.

The test statistic for testing the significance of the Living Area variable is _______.

The critical value to test the significance of the regression coefficients using α = 0.05 is _______.

The multiple coefficient of determination for this model is ______.

The mean square regression for this model is _______.

The degrees of freedom for the sum of squares regression are _______.

The goal is for the Cp statistic to be less than or equal to k + 1, where k equals the number of independent variables.

Every additional point per game will ____________.

Which one of the following statements describes the results of the hypothesis test for the overall regression model using α = 0.05?

Healthy Change

Psychosocial Health

Stress

Relationships and Sexuality

Reproductive Choices

Addiction and Drug Abuse

Alcohol and Tobacco

Nutrition

Weight Management and Body Image

Fitness

Cvd, Cancer, and Diabetes

Infectious Conditions

Violence and Unintentional Injuries

Environmental Health

Forecasting Techniques and Analysis for Time Series Data

Filters

The variable $\hat { y }$ represents the ______ in the regression model.