Question 1

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

Accepted Answer

A) (- 0.998, 0.410) 
B) (- 2.414, 1.826) 
C) (- 0.361, - 0.227) 
D) (- 0.450, - 0.138) 
A) (- 0.998, 0.410) 
B) (- 2.414, 1.826) 
C) (- 0.361, - 0.227) 
D) (- 0.450, - 0.138)

Question 2

When testing for the significance of the overall regression model, the null hypothesis claims that there is a relationship between the dependent and independent variables.

Accepted Answer

A) True 
 B)False

Question 3

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

Accepted Answer

A) Because the confidence interval includes zero, we have evidence to conclude that there is a relationship between the number of bedrooms in a house and the selling price of the house. 
B) Because the confidence interval does not include zero, we have evidence to conclude that there is a relationship between number of bedrooms in a house and the selling price of the house. 
C) Because the confidence interval includes zero, we have evidence to conclude that there is no relationship between the number of bedrooms in a house and the selling price of the house. 
D) Because the confidence interval does not include zero, we have evidence to conclude that there is no relationship between the number of bedrooms in a house and the selling price of the house. 
A) Because the confidence interval includes zero, we have evidence to conclude that there is a relationship between the number of bedrooms in a house and the selling price of the house. 
B) Because the confidence interval does not include zero, we have evidence to conclude that there is a relationship between number of bedrooms in a house and the selling price of the house. 
C) Because the confidence interval includes zero, we have evidence to conclude that there is no relationship between the number of bedrooms in a house and the selling price of the house. 
D) Because the confidence interval does not include zero, we have evidence to conclude that there is no relationship between the number of bedrooms in a house and the selling price of the house.

Question 4

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

Accepted Answer

A) Because the confidence interval does not include zero, we have evidence to conclude that there is a relationship between the living area of a house and the selling price of the house. 
B) Because the confidence interval does not include zero, we have evidence to conclude that there is no relationship between the living area of a house and the selling price of the house. 
C) Because the confidence interval includes zero, we have evidence to conclude that there is no relationship between the living area of a house and the selling price of the house. 
D) Because the confidence interval includes zero, we have evidence to conclude that there is a relationship between the living area of a house and the selling price of the house. 
A) Because the confidence interval does not include zero, we have evidence to conclude that there is a relationship between the living area of a house and the selling price of the house. 
B) Because the confidence interval does not include zero, we have evidence to conclude that there is no relationship between the living area of a house and the selling price of the house. 
C) Because the confidence interval includes zero, we have evidence to conclude that there is no relationship between the living area of a house and the selling price of the house. 
D) Because the confidence interval includes zero, we have evidence to conclude that there is a relationship between the living area of a house and the selling price of the house.

Question 5

A _________ describes the difference between the actual and predicted values of a dependent variable.

Accepted Answer

A) variance 
B) dummy variable 
C) residual 
D) correlation 
A) variance 
B) dummy variable 
C) residual 
D) correlation

Question 6

The 95% confidence interval for the regression coefficient for the PPG variable is ________.

Accepted Answer

A) (0.167, 0.537) 
B) (- 0.398, 1.102) 
C) (0.098, 0.606) 
D) (- 0.118, 0.822) 
A) (0.167, 0.537) 
B) (- 0.398, 1.102) 
C) (0.098, 0.606) 
D) (- 0.118, 0.822)

Question 7

A home appraisal company would like to develop a regression model that would predict the selling price of a house based on the age of the house in years (X1), the living area of the house in square feet (X2), and the number of bedrooms (X3). The following regression model was chosen using a data set of house statistics: 
$$\hat { y }$$ = 88,399.5547 + 91.3333x2 + 31,471.1372x3
The first house from the data set had the following values:
Selling price = $324,000 Age = 22 years
Square Feet = 2,000 Bedrooms = 3
The residual for this house is ______.

Accepted Answer

A) - 41,480 
B) 10,216 
C) - 16,095 
D) 23,558 
A) - 41,480 
B) 10,216 
C) - 16,095 
D) 23,558

Question 8

Every additional year in the age of the house will ________.

Accepted Answer

A) decrease the average selling price by $581 
B) increase the average selling price by $2,092 
C) decrease the average selling price by $109 
D) increase the average selling price by $102 
A) decrease the average selling price by $581 
B) increase the average selling price by $2,092 
C) decrease the average selling price by $109 
D) increase the average selling price by $102

Question 9

Every additional square foot of the house will _______.

Accepted Answer

A) decrease the average selling price by $581 
B) decrease the average selling price by $28 
C) increase the average selling price by $87 
D) increase the average selling price by $581 
A) decrease the average selling price by $581 
B) decrease the average selling price by $28 
C) increase the average selling price by $87 
D) increase the average selling price by $581

Question 10

If adding an independent variable results in a reduction in the adjusted R2, we have evidence that the new variable might not be contributing enough explanation of the dependent variable to remain in the model.

Accepted Answer

A) True 
 B)False

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

When testing for the significance of the overall regression model, the null hypothesis claims that there is a relationship between the dependent and independent variables.

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

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

A _________ describes the difference between the actual and predicted values of a dependent variable.

The 95% confidence interval for the regression coefficient for the PPG variable is ________.

Every additional year in the age of the house will ________.

Every additional square foot of the house will _______.

If adding an independent variable results in a reduction in the adjusted R2, we have evidence that the new variable might not be contributing enough explanation of the dependent variable to remain in the model.

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

When testing for the significance of the overall regression model, the null hypothesis claims that there is a relationship between the dependent and independent variables.

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

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

A _________ describes the difference between the actual and predicted values of a dependent variable.

The 95% confidence interval for the regression coefficient for the PPG variable is ________.

Every additional year in the age of the house will ________.

Every additional square foot of the house will _______.

If adding an independent variable results in a reduction in the adjusted R2, we have evidence that the new variable might not be contributing enough explanation of the dependent variable to remain in the model.

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