Question 1

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

Accepted Answer

A) 2.33 
B) 2.60 
C) 1.91 
D) 2.51 
A) 2.33 
B) 2.60 
C) 1.91 
D) 2.51

Question 2

________ is present in the regression model when independent variables within the model are highly correlated.

Accepted Answer

A) Significance 
B) Correlation 
C) Homoscedasticity 
D) Multicollinearity 
A) Significance 
B) Correlation 
C) Homoscedasticity 
D) Multicollinearity

Question 3

The test statistic for testing the significance of the TO variable is ________.

Accepted Answer

A) 5.56 
B) 1.89 
C) 3.46 
D) 1.07 
A) 5.56 
B) 1.89 
C) 3.46 
D) 1.07

Question 4

The adjusted multiple coefficient of determination will always be greater than or equal to the multiple coefficient of determination.

Accepted Answer

A) True 
 B)False

Question 5

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 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. 
B) 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. 
C) 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. 
D) 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. 
A) 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. 
B) 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. 
C) 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. 
D) 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.

Question 6

The test statistic for testing the significance of the Salary variable is ______.

Accepted Answer

A) 2.40 
B) 2.89 
C) 2.16 
D) 1.81 
A) 2.40 
B) 2.89 
C) 2.16 
D) 1.81

Question 7

A _______ predicts the change in a dependent variable due to a one- unit increase in an independent variable while holding other variables constant.

Accepted Answer

A) residual 
B) coefficient of determination 
C) regression coefficient 
D) correlation coefficient 
A) residual 
B) coefficient of determination 
C) regression coefficient 
D) correlation coefficient

Question 8

The National Basketball Association (NBA)would like to develop a multiple regression model that would predict the number of wins for a team during the season. The following independent variables were considered for the model: field goal percentage (X1), free throw percentage (X2), turnovers per game (X3), rebounds per game (X4), and steals per game (X5). The following regression model was chosen using a data set of team statistics: 
$$\hat { y }$$= - 276.8949 + 6.0284x1 - 6.8230x3 + 3.348x4
The first team from the data set had the following values:
Wins = 56
Field goal percentage = 48.6% 
Free throw percentage = 77.0% 
Turnovers per game = 14.6 
Rebounds per game = 38.8 
Steals per game = 8.2
The residual for this team is _.

Accepted Answer

A) 9.6 
B) - 3.1 
C) 7.0 
D) - 5.2 
A) 9.6 
B) - 3.1 
C) 7.0 
D) - 5.2

Question 9

The adjusted multiple coefficient of determination modifies, or adjusts, the multiple coefficient of determination by accounting for the number of independent variables and the sample size used to develop a multiple regression model.

Accepted Answer

A) True 
 B)False

Question 10

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

Accepted Answer

A) 24 
B) 25 
C) 4 
D) 20 
A) 24 
B) 25 
C) 4 
D) 20

Question 11

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 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 fail to 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 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. 
D) 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. 
A) 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. 
B) 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. 
C) 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. 
D) 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.

Question 12

The multiple correlation coefficient is the percent of variation in the dependent variable explained by all of the independent variables.

Accepted Answer

A) True 
 B)False

Question 13

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

Accepted Answer

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

Question 14

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

Accepted Answer

A) (- 0.247, 0.273) 
B) (- 0.09, 0.113) 
C) (0.004, 0.022) 
D) (- 0.178, 0.203) 
A) (- 0.247, 0.273) 
B) (- 0.09, 0.113) 
C) (0.004, 0.022) 
D) (- 0.178, 0.203)

Question 15

The 95% confidence interval for the regression coefficient for the Age variable is _______.

Accepted Answer

A) (- 5,186, 4,025) 
B) (- 2,580, 1,419) 
C) (- 3,181, 2,019) 
D) (- 181, - 981) 
A) (- 5,186, 4,025) 
B) (- 2,580, 1,419) 
C) (- 3,181, 2,019) 
D) (- 181, - 981)

Question 16

The _________ measures the variation in the dependent variable that is explained by variables other than the set of independent variables in multiple regression.

Accepted Answer

A) total sum of squares 
B) sum of squares within 
C) sum of squares regression 
D) sum of squares error 
A) total sum of squares 
B) sum of squares within 
C) sum of squares regression 
D) sum of squares error

Question 17

______ regression brings one independent variable into the model at a time and does not allow any variables to leave once they have entered.

Accepted Answer

A) Forward selection 
B) Best subsets 
C) Backward elimination 
D) General stepwise 
A) Forward selection 
B) Best subsets 
C) Backward elimination 
D) General stepwise

Question 18

When comparing models with similar adjusted R2 values when using best subsets regression, choose the one with the higher number of independent variables.

Accepted Answer

A) True 
 B)False

Question 19

______regression brings one independent variable at a time into a regression model based on its p- value. The "p- value to enter" and "p- value to remove" values determine the threshold for independent variables joining and leaving the regression model, respectively.

Accepted Answer

A) Best subsets 
B) Backward elimination 
C) Forward selection 
D) General stepwise 
A) Best subsets 
B) Backward elimination 
C) Forward selection 
D) General stepwise

Question 20

The 95% confidence interval for the average selling price of houses that are 10 years old, 2,400 square feet with four bedrooms is ______.

Accepted Answer

A) ($402,649, $469,803) 
B) ($321,628, $540,824) 
C) ($350,152, $522,300) 
D) ($384,090, $488,362) 
A) ($402,649, $469,803) 
B) ($321,628, $540,824) 
C) ($350,152, $522,300) 
D) ($384,090, $488,362)

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

________ is present in the regression model when independent variables within the model are highly correlated.

The test statistic for testing the significance of the TO variable is ________.

The adjusted multiple coefficient of determination will always be greater than or equal to the multiple coefficient of determination.

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

The test statistic for testing the significance of the Salary variable is ______.

A _______ predicts the change in a dependent variable due to a one- unit increase in an independent variable while holding other variables constant.

The adjusted multiple coefficient of determination modifies, or adjusts, the multiple coefficient of determination by accounting for the number of independent variables and the sample size used to develop a multiple regression model.

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

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

The multiple correlation coefficient is the percent of variation in the dependent variable explained by all of the independent variables.

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

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

The 95% confidence interval for the regression coefficient for the Age variable is _______.

The _________ measures the variation in the dependent variable that is explained by variables other than the set of independent variables in multiple regression.

______ regression brings one independent variable into the model at a time and does not allow any variables to leave once they have entered.

When comparing models with similar adjusted R2 values when using best subsets regression, choose the one with the higher number of independent variables.

______regression brings one independent variable at a time into a regression model based on its p- value. The "p- value to enter" and "p- value to remove" values determine the threshold for independent variables joining and leaving the regression model, respectively.

The 95% confidence interval for the average selling price of houses that are 10 years old, 2,400 square feet with four bedrooms is ______.

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Exam 15: Consumerism and Complementary and Alternative Medicine

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

________ is present in the regression model when independent variables within the model are highly correlated.

The test statistic for testing the significance of the TO variable is ________.

The adjusted multiple coefficient of determination will always be greater than or equal to the multiple coefficient of determination.

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

The test statistic for testing the significance of the Salary variable is ______.

A _______ predicts the change in a dependent variable due to a one- unit increase in an independent variable while holding other variables constant.

The adjusted multiple coefficient of determination modifies, or adjusts, the multiple coefficient of determination by accounting for the number of independent variables and the sample size used to develop a multiple regression model.

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

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

The multiple correlation coefficient is the percent of variation in the dependent variable explained by all of the independent variables.

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

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

The 95% confidence interval for the regression coefficient for the Age variable is _______.

The _________ measures the variation in the dependent variable that is explained by variables other than the set of independent variables in multiple regression.

______ regression brings one independent variable into the model at a time and does not allow any variables to leave once they have entered.

When comparing models with similar adjusted R2 values when using best subsets regression, choose the one with the higher number of independent variables.

______regression brings one independent variable at a time into a regression model based on its p- value. The "p- value to enter" and "p- value to remove" values determine the threshold for independent variables joining and leaving the regression model, respectively.

The 95% confidence interval for the average selling price of houses that are 10 years old, 2,400 square feet with four bedrooms is ______.

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