Question 1

In multiple regression analysis, before testing the significance of the individual regression coefficients, _______________.

Accepted Answer

A)   The intercept must equal 0
B)   The multiple standard error of the estimate must be less than the error mean square
C)   The null hypothesis that all regression coefficients equal zero must NOT be rejected
D)   The null hypothesis that all regression coefficients equal zero must be rejectedE) All of the above
F) A) and B) D

Question 2

Multiple regression analysis is used when one independent variable is used to predict values of two or more dependent variables.

Accepted Answer

A) True 
 B)False

Question 3

In an ANOVA for a multiple regression analysis, the three sources of variation are __________________.

Accepted Answer

total, regression, and residual

Question 4

Which of the following statements about stepwise regression is true?

Accepted Answer

A)   It only uses dependent variables and adds them one by one.
B)   It uses independent variables with insignificant regression coefficients.
C)   It is a step-by-step method that adds independent variables one by one in order to build a more efficient regression equation.
D)   It first selects the independent variable with the weakest correlation first.E) B) and C)
F) A) and D)

Question 5

A manager at a local bank analyzed the relationship between monthly salary and three independent variables: length of service (measured in months) , gender (0 = female, 1 = male)  and job type (0 = clerical, 1 = technical) . The following ANOVA summarizes the regression results:  Based on the hypothesis tests for the individual regression coefficients, ____________.

Accepted Answer

A)   All the regression coefficients are not equal to zero
B)   "Job" is the only significant variable in the model
C)   Only months of service and gender are significantly related to monthly salary
D)   "Service" is the only significant variable in the modelE) A) and B)
F) A) and D)

Question 6

Stepwise regression analysis is also called a "backward elimination" method.

Accepted Answer

A) True 
 B)False

Question 7

Consider the multiple regression model shown next between the dependent variable Y and three independent variables X1, X2, and X3, which result in the following function: 1, X2, and X3, which result in the following function:   For this model, there were 35 observations; SSR = 1400 and SSE = 600. The critical F value at the 1% level of significance is _______. A)  3.83 B)  2.61 C)  4.02 D)  2.53" class="answers-bank-image d-inline" rel="preload" > For this model, there were 35 observations; SSR = 1400 and SSE = 600. The critical F value at the 1% level of significance is _______.

Accepted Answer

A)   3.83
B)   2.61
C)   4.02
D)   2.53E) A) and C)
F) A) and B)

Question 8

What does the correlation matrix for a multiple regression analysis contain?

Accepted Answer

A)   Multiple correlation coefficients
B)   Simple correlation coefficients
C)   Multiple coefficients of determination
D)   Multiple standard errors of estimateE) A) and C)
F) B) and C) B

Question 9

The following correlations were computed as part of a multiple regression analysis that used education, job, and age to predict income.  What is this table called?

Accepted Answer

A)   Net regression coefficients
B)   Coefficients of nondetermination
C)   Analysis of variance
D)   Correlation matrixE) A) and C)
F) A) and B)

Question 10

A multiple regression model includes three independent variables: X1, X2, and (X1)(X2). (X1)(X2) is called the ________________________.

Accepted Answer

interactio...

Question 11

A __________ analysis is used to develop an equation that predicts an outcome based on two or more independent variables.

Accepted Answer

The answer of A __________ analysis is used to develop...

Question 12

For a global test of a multiple regression equation, the F distribution is defined by the regression and residual degrees of freedom.

Accepted Answer

A) True 
 B)False

Question 13

The following graph is used to evaluate an assumption of a multiple regression analysis. What is the assumption?

Accepted Answer

Normal distribution of residua...

Question 14

In multiple regression analysis, a dummy variable is ____________.

Accepted Answer

A)   An additional quantitative variable
B)   A nominal variable with three or more values
C)   A nominal variable with only two values
D)   A new regression coefficientE) A) and B)
F) All of the above

Question 15

In multiple regression analysis, residual analysis is used to test the requirement that ___________.

Accepted Answer

A)   The variation in the residuals is the same for all predicted values of Y
B)   The independent variables are the direct cause of the dependent variable
C)   The number of independent variables included in the analysis is correct
D)   The prediction error is minimizedE) A) and D)
F) B) and C)

Question 16

In multiple regression analysis, residuals (Y - Ŷ)  are used to __________.

Accepted Answer

A)   Provide a global test of a multiple regression model
B)   Evaluate the assumption of linearity
C)   Calculate the variance inflation factor
D)   Compare two regression coefficientsE) All of the above
F) A) and D)

Question 17

In multiple regression analysis, the ________ scale is used to measure a dummy variable.

Accepted Answer

The answer of In multiple regression analysis, the ________ scale...

Question 18

What are the five assumptions of linear multiple regression?

Accepted Answer

(1) A linear relationship between the de...

Question 19

In a multiple regression analysis, the following correlation matrix was computed.  Which independent variables are highly correlated with the dependent variable?

Accepted Answer

X₂ and X₄
Explanation: The depen...

Question 20

To evaluate the assumption of linearity, a multiple regression analysis should include ___________.

Accepted Answer

A)   A calculation of variance inflation factors
B)   Hypothesis tests of individual regression coefficients
C)   Scatter diagrams of the dependent variable plotted as a function of each independent variable
D)   An ANOVA tableE) A) and D)
F) B) and C)

Exam 14: Multiple Regression Analysis

In multiple regression analysis, before testing the significance of the individual regression coefficients, _______________.

Correct Answer
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D

Multiple regression analysis is used when one independent variable is used to predict values of two or more dependent variables.

Correct Answer
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In an ANOVA for a multiple regression analysis, the three sources of variation are __________________.

Correct Answer
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total, regression, and residual

Which of the following statements about stepwise regression is true?

Correct Answer
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Correct Answer
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Stepwise regression analysis is also called a "backward elimination" method.

Correct Answer
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Correct Answer
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What does the correlation matrix for a multiple regression analysis contain?

Correct Answer
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B

The following correlations were computed as part of a multiple regression analysis that used education, job, and age to predict income. What is this table called?

Correct Answer
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A multiple regression model includes three independent variables: X₁, X₂, and (X₁)(X₂). (X₁)(X₂) is called the ________________________.

Correct Answer
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interactio...
View Answer

A __________ analysis is used to develop an equation that predicts an outcome based on two or more independent variables.

Correct Answer
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For a global test of a multiple regression equation, the F distribution is defined by the regression and residual degrees of freedom.

Correct Answer
verified

The following graph is used to evaluate an assumption of a multiple regression analysis. What is the assumption?

Correct Answer
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Normal distribution of residua...
View Answer

In multiple regression analysis, a dummy variable is ____________.

Correct Answer
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In multiple regression analysis, residual analysis is used to test the requirement that ___________.

Correct Answer
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In multiple regression analysis, residuals (Y - Ŷ) are used to __________.

Correct Answer
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In multiple regression analysis, the ________ scale is used to measure a dummy variable.

Correct Answer
verified

What are the five assumptions of linear multiple regression?

Correct Answer
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(1) A linear relationship between the de...
View Answer

In a multiple regression analysis, the following correlation matrix was computed. Which independent variables are highly correlated with the dependent variable?

Correct Answer
verified
X₂ and X₄
Explanation: The depen...
View Answer

To evaluate the assumption of linearity, a multiple regression analysis should include ___________.

Correct Answer
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Exam 14: Multiple Regression Analysis

In multiple regression analysis, before testing the significance of the individual regression coefficients, _______________.

Correct AnswerverifiedD

Multiple regression analysis is used when one independent variable is used to predict values of two or more dependent variables.

Correct AnswerverifiedShow Answer

In an ANOVA for a multiple regression analysis, the three sources of variation are __________________.

Correct Answerverifiedtotal, regression, and residual

Which of the following statements about stepwise regression is true?

Correct AnswerverifiedShow Answer

Correct AnswerverifiedShow Answer

Stepwise regression analysis is also called a "backward elimination" method.

Correct AnswerverifiedShow Answer

Correct AnswerverifiedShow Answer

What does the correlation matrix for a multiple regression analysis contain?

Correct AnswerverifiedB

The following correlations were computed as part of a multiple regression analysis that used education, job, and age to predict income. What is this table called?

Correct AnswerverifiedShow Answer

A multiple regression model includes three independent variables: X1, X2, and (X1)(X2). (X1)(X2) is called the ________________________.

Correct Answerverifiedinteractio...View AnswerShow Answer

A __________ analysis is used to develop an equation that predicts an outcome based on two or more independent variables.

Correct AnswerverifiedShow Answer

For a global test of a multiple regression equation, the F distribution is defined by the regression and residual degrees of freedom.

Correct AnswerverifiedShow Answer

The following graph is used to evaluate an assumption of a multiple regression analysis. What is the assumption?

Correct AnswerverifiedNormal distribution of residua...View AnswerShow Answer

In multiple regression analysis, a dummy variable is ____________.

Correct AnswerverifiedShow Answer

In multiple regression analysis, residual analysis is used to test the requirement that ___________.

Correct AnswerverifiedShow Answer

In multiple regression analysis, residuals (Y - Ŷ) are used to __________.

Correct AnswerverifiedShow Answer

In multiple regression analysis, the ________ scale is used to measure a dummy variable.

Correct AnswerverifiedShow Answer

What are the five assumptions of linear multiple regression?

Correct Answerverified(1) A linear relationship between the de...View AnswerShow Answer

In a multiple regression analysis, the following correlation matrix was computed. Which independent variables are highly correlated with the dependent variable?

Correct AnswerverifiedX2 and X4Explanation: The depen...View AnswerShow Answer

To evaluate the assumption of linearity, a multiple regression analysis should include ___________.

Correct AnswerverifiedShow Answer

Correct Answer
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D

Correct Answer
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Correct Answer
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total, regression, and residual

Correct Answer
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Correct Answer
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B

Correct Answer
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A multiple regression model includes three independent variables: X₁, X₂, and (X₁)(X₂). (X₁)(X₂) is called the ________________________.

Correct Answer
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interactio...
View Answer

Correct Answer
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Normal distribution of residua...
View Answer

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Correct Answer
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Correct Answer
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(1) A linear relationship between the de...
View Answer

Correct Answer
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X₂ and X₄
Explanation: The depen...
View Answer

Correct Answer
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