Question 1

Which one of the following statements are true about the final regression model?

Accepted Answer

A) For every additional rebound per game, the average number of wins per season will decrease by 3.3484. 
B) For every additional turnover per game, the average number of wins per season will decrease by 6.8230. 
C) For every additional turnover per game, the average number of wins per season will decrease by 4.5310. 
D) For every additional percent in field goal percentage, the average number of wins per season will increase by 6.6345. 
A) For every additional rebound per game, the average number of wins per season will decrease by 3.3484. 
B) For every additional turnover per game, the average number of wins per season will decrease by 6.8230. 
C) For every additional turnover per game, the average number of wins per season will decrease by 4.5310. 
D) For every additional percent in field goal percentage, the average number of wins per season will increase by 6.6345.

Question 2

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

Question 3

The F- test statistic for the overall regression model is _________ .

Accepted Answer

A) 8.117 
B) 5.263 
C) 9.437 
D) 8.864 
A) 8.117 
B) 5.263 
C) 9.437 
D) 8.864

Question 4

When using best subsets regression, select the subset with the lowest adjusted R2 and lowest standard error.

Accepted Answer

A) True 
 B)False

Question 5

When testing the significance of the regression coefficient, the null hypothesis assumes that no relationship exists between the dependent and independent variables.

Accepted Answer

A) True 
 B)False

Question 6

Adding additional independent variables to the regression equation will always decrease the coefficient of determination.

Accepted Answer

A) True 
 B)False

Question 7

The number of homes that were included in the sample is _____.

Accepted Answer

A) 14 
B) 16 
C) 15 
D) 11 
A) 14 
B) 16 
C) 15 
D) 11

Question 8

The mean square error for this model is ______.

Accepted Answer

A) 65.42 
B) 3.74 
C) 196.26 
D) 17.49 
A) 65.42 
B) 3.74 
C) 196.26 
D) 17.49

Question 9

One of the assumptions for the multiple regression model is that the residuals have a constant variance.

Accepted Answer

A) True 
 B)False

Question 10

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

Accepted Answer

A) 2.080 
B) 2.086 
C) 2.201 
D) 2.179 
A) 2.080 
B) 2.086 
C) 2.201 
D) 2.179

Question 11

The sum of squares regression for this regression model is _______.

Accepted Answer

A) 196.26 
B) 17.49 
C) 104.71 
D) 65.42 
A) 196.26 
B) 17.49 
C) 104.71 
D) 65.42

Question 12

The 95% confidence interval for the average number of wins per season for teams that average 6.0 penalties per game, average 24.0 points per game, and has a turnover differential of +7 is _______.

Accepted Answer

A) (8.31, 10.10) 
B) (3.44, 14.98) 
C) (5.65, 12.77) 
D) (8.98, 9.44) 
A) (8.31, 10.10) 
B) (3.44, 14.98) 
C) (5.65, 12.77) 
D) (8.98, 9.44)

Question 13

The p- value for the hypothesis test for the overall regression model represents the probability of obtaining an F- test statistic at least as extreme as the one observed from the sample if the alternative hypothesis were indeed true.

Accepted Answer

A) True 
 B)False

Question 14

The F- test statistic for the overall regression model is ______.

Accepted Answer

A) 3.47 
B) 2.73 
C) 25.60 
D) 22.22 
A) 3.47 
B) 2.73 
C) 25.60 
D) 22.22

Question 15

The test statistic for testing the significance of the ED1 variable is _______

Accepted Answer

A) 2.54 
B) 2.01 
C) 2.20 
D) 1.75 
A) 2.54 
B) 2.01 
C) 2.20 
D) 1.75

Question 16

The presence of multicollinearity can be detected in a regression model using the ______.

Accepted Answer

A) variance inflation factor 
B) coefficient of determination 
C) standard error of the regression coefficient 
D) adjusted coefficient of determination 
A) variance inflation factor 
B) coefficient of determination 
C) standard error of the regression coefficient 
D) adjusted coefficient of determination

Question 17

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

Accepted Answer

A) 0.0022 
B) 0.7865 
C) 0.0095 
D) 0.0161 
A) 0.0022 
B) 0.7865 
C) 0.0095 
D) 0.0161

Question 18

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

Accepted Answer

A) 3.90 
B) 0.40 
C) 4.60 
D) 5.19 
A) 3.90 
B) 0.40 
C) 4.60 
D) 5.19

Question 19

_______ variables are used to represent qualitative data in a multiple regression model and can only take on the values 0 and 1.

Accepted Answer

A) Dummy 
B) Regression 
C) Independent 
D) Dependent 
A) Dummy 
B) Regression 
C) Independent 
D) Dependent

Question 20

The degrees of freedom for the sum of squares error are ________.

Accepted Answer

A) 5 
B) 3 
C) 11 
D) 14 
A) 5 
B) 3 
C) 11 
D) 14

Which one of the following statements are true about the final regression model?

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

The F- test statistic for the overall regression model is _________ .

When using best subsets regression, select the subset with the lowest adjusted R2 and lowest standard error.

When testing the significance of the regression coefficient, the null hypothesis assumes that no relationship exists between the dependent and independent variables.

Adding additional independent variables to the regression equation will always decrease the coefficient of determination.

The number of homes that were included in the sample is _____.

The mean square error for this model is ______.

One of the assumptions for the multiple regression model is that the residuals have a constant variance.

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

The sum of squares regression for this regression model is _______.

The 95% confidence interval for the average number of wins per season for teams that average 6.0 penalties per game, average 24.0 points per game, and has a turnover differential of +7 is _______.

The p- value for the hypothesis test for the overall regression model represents the probability of obtaining an F- test statistic at least as extreme as the one observed from the sample if the alternative hypothesis were indeed true.

The F- test statistic for the overall regression model is ______.

The test statistic for testing the significance of the ED1 variable is _______

The presence of multicollinearity can be detected in a regression model using the ______.

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

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

_______ variables are used to represent qualitative data in a multiple regression model and can only take on the values 0 and 1.

The degrees of freedom for the sum of squares error are ________.

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Exam 15: Consumerism and Complementary and Alternative Medicine

Which one of the following statements are true about the final regression model?

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

The F- test statistic for the overall regression model is _________ .

When using best subsets regression, select the subset with the lowest adjusted R2 and lowest standard error.

When testing the significance of the regression coefficient, the null hypothesis assumes that no relationship exists between the dependent and independent variables.

Adding additional independent variables to the regression equation will always decrease the coefficient of determination.

The number of homes that were included in the sample is _____.

The mean square error for this model is ______.

One of the assumptions for the multiple regression model is that the residuals have a constant variance.

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

The sum of squares regression for this regression model is _______.

The 95% confidence interval for the average number of wins per season for teams that average 6.0 penalties per game, average 24.0 points per game, and has a turnover differential of +7 is _______.

The p- value for the hypothesis test for the overall regression model represents the probability of obtaining an F- test statistic at least as extreme as the one observed from the sample if the alternative hypothesis were indeed true.

The F- test statistic for the overall regression model is ______.

The test statistic for testing the significance of the ED1 variable is _______

The presence of multicollinearity can be detected in a regression model using the ______.

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

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

_______ variables are used to represent qualitative data in a multiple regression model and can only take on the values 0 and 1.

The degrees of freedom for the sum of squares error are ________.

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