Question 1

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

Accepted Answer

A) 0.0396 
B) 0.3265 
C) 4.0112E- 07 
D) 0.0709 
A) 0.0396 
B) 0.3265 
C) 4.0112E- 07 
D) 0.0709

Question 2

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

Accepted Answer

A) 410.25 
B) 327.84 
C) 267.61 
D) 60.23 
A) 410.25 
B) 327.84 
C) 267.61 
D) 60.23

Question 3

Every additional penalty per game will ___________

Accepted Answer

A) increase the average number of wins per season by 1.5572 
B) decrease the average number of wins per season by 0.2938 
C) decrease the average number of wins per season by 1.5572 
D) increase the average number of wins per season by 0.2938 
A) increase the average number of wins per season by 1.5572 
B) decrease the average number of wins per season by 0.2938 
C) decrease the average number of wins per season by 1.5572 
D) increase the average number of wins per season by 0.2938

Question 4

Using general stepwise regression will always result in a model in which all of the independent variables are statistically significant.

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 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 fail to reject the null hypothesis and conclude that there is no relationship between the dependent variable and the independent variables. 
C) 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. 
D) 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. 
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 fail to reject the null hypothesis and conclude that there is no relationship between the dependent variable and the independent variables. 
C) 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. 
D) 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.

Question 6

The mean square error for this model is _____.

Accepted Answer

A) 1,296,648,554 
B) 36,709,265,906 
C) 14,263,134,094 
D) 12,236,421,969 
A) 1,296,648,554 
B) 36,709,265,906 
C) 14,263,134,094 
D) 12,236,421,969

Question 7

We suspect the presence of multicollinearity in the model when regression coefficients have the opposite sign from what we would normally expect.

Accepted Answer

A) True 
 B)False

Question 8

Every additional $100 of base salary will _______.

Accepted Answer

A) increase the average number of cars sold per month by 0.3265 
B) increase the average number of cars sold per month by 1.6352 
C) increase the average number of cars sold per month by 1.6448 
D) increase the average number of cars sold per month by 1.27 
A) increase the average number of cars sold per month by 0.3265 
B) increase the average number of cars sold per month by 1.6352 
C) increase the average number of cars sold per month by 1.6448 
D) increase the average number of cars sold per month by 1.27

Question 9

The degrees of freedom for the critical value to test the significance of the regression coefficients using α = 0.05 are ______.

Accepted Answer

A) 11 
B) 15 
C) 14 
D) 13 
A) 11 
B) 15 
C) 14 
D) 13

Question 10

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

Accepted Answer

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

Question 11

The closer the residuals are to zero, the better the fit of the regression model.

Accepted Answer

A) True 
 B)False

Question 12

Which group of independent variables is significant in this model using α = 0.05?

Accepted Answer

A) Age, Living Area 
B) Age, Bedrooms 
C) Living Area, Bedrooms 
D) Age, Living Area, Bedrooms 
A) Age, Living Area 
B) Age, Bedrooms 
C) Living Area, Bedrooms 
D) Age, Living Area, Bedrooms

Question 13

An employee with an associate's degree will average _______ more cars sales per month than an employee with a high school degree.

Accepted Answer

A) 2.9845 
B) 0.4207 
C) 1.3553 
D) 2.5638 
A) 2.9845 
B) 0.4207 
C) 1.3553 
D) 2.5638

Question 14

The test statistic for testing the significance of the ED2 variable is ______ .

Accepted Answer

A) 2.40 
B) 2.26 
C) 2.69 
D) 1.83 
A) 2.40 
B) 2.26 
C) 2.69 
D) 1.83

Question 15

The mean square regression for this model is ______.

Accepted Answer

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

Question 16

The 95% prediction interval for the number of wins per season for a specific team that averages 260 passing yards per game, 90 rushing yards per game and averages 25 points per game is _______.

Accepted Answer

A) (2.50, 15.92) 
B) (6.12, 12.30) 
C) (6.95, 11.46) 
D) (5.15, 13.27) 
A) (2.50, 15.92) 
B) (6.12, 12.30) 
C) (6.95, 11.46) 
D) (5.15, 13.27)

Question 17

Residual values in a regression model can be positive or negative.

Accepted Answer

A) True 
 B)False

Question 18

Which of the following groups of independent variables is significant in this model using α = 0.05?

Accepted Answer

A) PEN, TO 
B) PPG, TO 
C) PEN, PPG, TO 
D) PEN, PPG 
A) PEN, TO 
B) PPG, TO 
C) PEN, PPG, TO 
D) PEN, PPG

Question 19

The standard error of the regression coefficient measures the variation in the regression coefficient among several samples.

Accepted Answer

A) True 
 B)False

Question 20

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

Accepted Answer

A) 2.866 
B) 3.982 
C) 8.763 
D) 2.104 
A) 2.866 
B) 3.982 
C) 8.763 
D) 2.104

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

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

Every additional penalty per game will ___________

Using general stepwise regression will always result in a model in which all of the independent variables are statistically significant.

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

The mean square error for this model is _____.

We suspect the presence of multicollinearity in the model when regression coefficients have the opposite sign from what we would normally expect.

Every additional $100 of base salary will _______.

The degrees of freedom for the critical value to test the significance of the regression coefficients using α = 0.05 are ______.

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

The closer the residuals are to zero, the better the fit of the regression model.

Which group of independent variables is significant in this model using α = 0.05?

An employee with an associate's degree will average _______ more cars sales per month than an employee with a high school degree.

The test statistic for testing the significance of the ED2 variable is ______ .

The mean square regression for this model is ______.

The 95% prediction interval for the number of wins per season for a specific team that averages 260 passing yards per game, 90 rushing yards per game and averages 25 points per game is _______.

Residual values in a regression model can be positive or negative.

Which of the following groups of independent variables is significant in this model using α = 0.05?

The standard error of the regression coefficient measures the variation in the regression coefficient among several samples.

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

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Exam 15: Consumerism and Complementary and Alternative Medicine

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

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

Every additional penalty per game will ___________

Using general stepwise regression will always result in a model in which all of the independent variables are statistically significant.

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

The mean square error for this model is _____.

We suspect the presence of multicollinearity in the model when regression coefficients have the opposite sign from what we would normally expect.

Every additional $100 of base salary will _______.

The degrees of freedom for the critical value to test the significance of the regression coefficients using α = 0.05 are ______.

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

The closer the residuals are to zero, the better the fit of the regression model.

Which group of independent variables is significant in this model using α = 0.05?

An employee with an associate's degree will average _______ more cars sales per month than an employee with a high school degree.

The test statistic for testing the significance of the ED2 variable is ______ .

The mean square regression for this model is ______.

The 95% prediction interval for the number of wins per season for a specific team that averages 260 passing yards per game, 90 rushing yards per game and averages 25 points per game is _______.

Residual values in a regression model can be positive or negative.

Which of the following groups of independent variables is significant in this model using α = 0.05?

The standard error of the regression coefficient measures the variation in the regression coefficient among several samples.

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