Question 1

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

Accepted Answer

total, regression, and residual

Question 2

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 rejected 
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 rejected D

Question 3

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 estimate 
A)  Multiple correlation coefficients 
B)  Simple correlation coefficients 
C)  Multiple coefficients of determination 
D)  Multiple standard errors of estimate B

Question 4

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 table 
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 table

Question 5

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 6

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 7

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 8

What are the five assumptions of linear multiple regression?

Accepted Answer

(1) A linear relationship between the de

Question 9

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 10

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

Accepted Answer

A) True 
 B)False

Question 11

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

Accepted Answer

interactio

Question 12

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. 
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.

Question 13

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 minimized 
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 minimized

Question 14

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 15

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 16

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 coefficient 
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 coefficient

Question 17

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 model 
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 model

Question 18

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 coefficients 
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 coefficients

Question 19

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:   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)  2.53 
A)  3.83 
B)  2.61 
C)  4.02 
D)  2.53

Question 20

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 matrix 
A)  Net regression coefficients 
B)  Coefficients of nondetermination 
C)  Analysis of variance 
D)  Correlation matrix

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

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

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

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

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

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

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

What are the five assumptions of linear multiple regression?

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

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

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

Which of the following statements about stepwise regression is true?

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

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

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

In multiple regression analysis, a dummy variable is ____________.

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

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?

What Is Statistics

Describing Data: Frequency Tables, Frequency Distributions, and Graphic Presentation

Describing Data: Numerical Measures

Describing Data: Displaying and Exploring Data

A Survey of Probability Concepts

Discrete Probability Distributions

Continuous Probability Distributions

Sampling Methods and the Central Limit Theorem

Estimation and Confidence Intervals

One-Sample Tests of Hypothesis

Two-Sample Tests of Hypothesis

Analysis of Variance

Correlation and Linear Regression

Nonparametric Methods: Nominal Level Hypothesis Tests

Nonparametric Methods: Analysis of Ordinal Data

Index Numbers

Time Series and Forecasting

Statistical Process Control and Quality Management

An Introduction to Decision Theory

Filters

Exam 14: Multiple Regression Analysis

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

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

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

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

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

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

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

What are the five assumptions of linear multiple regression?

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

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

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

Which of the following statements about stepwise regression is true?

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

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

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

In multiple regression analysis, a dummy variable is ____________.

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

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?

What Is Statistics

Describing Data: Frequency Tables, Frequency Distributions, and Graphic Presentation

Describing Data: Numerical Measures

Describing Data: Displaying and Exploring Data

A Survey of Probability Concepts

Discrete Probability Distributions

Continuous Probability Distributions

Sampling Methods and the Central Limit Theorem

Estimation and Confidence Intervals

One-Sample Tests of Hypothesis

Two-Sample Tests of Hypothesis

Analysis of Variance

Correlation and Linear Regression

Nonparametric Methods: Nominal Level Hypothesis Tests

Nonparametric Methods: Analysis of Ordinal Data

Index Numbers

Time Series and Forecasting

Statistical Process Control and Quality Management

An Introduction to Decision Theory

Filters

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