Question 1

What test statistic is used to test the significance of (X1)(X2) in a multiple regression model? _____________________

Accepted Answer

t-statistic

Question 2

If the hypothesis, Ho: $\beta$1= 0 is rejected, then the sample regression coefficient b1, indicates the change in the predicted value for a unit change in X1 when all other Xi variables are held constant.

Accepted Answer

A) True 
 B)False  True

Question 3

All other things being held constant, what is the change in the dependent variable for a unit change in the first independent variable for the multiple regression equation: Ŷ = 5.2 + 6.3X1 - 7.1 X2?

Accepted Answer

A)  -7.1 
B)  +6.3 
C)  +5.2 
D)  +4.4 
A)  -7.1 
B)  +6.3 
C)  +5.2 
D)  +4.4 B

Question 4

When applying Stepwise Regression, how many independent variables are included in the first multiple regression model? _____________

Accepted Answer

The answer of When applying Stepwise Regression, how many independent...

Question 5

If the coefficient of multiple determination is 0.81, what percent of variation is not explained?

Accepted Answer

A)  19% 
B)  90% 
C)  66% 
D)  81% 
A)  19% 
B)  90% 
C)  66% 
D)  81%

Question 6

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

Accepted Answer

Interactio

Question 7

In a multiple regression ANOVA table, explained variation is represented by

Accepted Answer

A)  the regression sum of squares 
B)  the total sum of squares 
C)  the residual mean square 
D)  the p-value 
A)  the regression sum of squares 
B)  the total sum of squares 
C)  the residual mean square 
D)  the p-value

Question 8

In a regression analysis, three independent variables are used in the equation based on a sample of forty observations. What are the degrees of freedom associated with the F-statistic?

Accepted Answer

A)  3 and 39 
B)  4 and 40 
C)  3 and 36 
D)  2 and 39 
A)  3 and 39 
B)  4 and 40 
C)  3 and 36 
D)  2 and 39

Question 9

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 10

In multiple regression analysis, a dummy variable is coded as a _________________________.

Accepted Answer

The answer of In multiple regression analysis, a dummy variable...

Question 11

In multiple regression analysis, when the independent variables are highly correlated, this situation is called ___________________.

Accepted Answer

A)  Autocorrelation 
B)  Multicollinearity 
C)  Homoscedasticity 
D)  Curvilinearity 
A)  Autocorrelation 
B)  Multicollinearity 
C)  Homoscedasticity 
D)  Curvilinearity

Question 12

A researcher is studying the effect of ten different variables on a critical measure of business performance. What method can be used to select the best set of variables to predict performance?

Accepted Answer

A)  Stepwise Regression. 
B)  ANOVA. 
C)  Simple linear regression. 
D)  Residual analysis. 
A)  Stepwise Regression. 
B)  ANOVA. 
C)  Simple linear regression. 
D)  Residual analysis.

Question 13

A multiple regression analysis showed the following ANOVA table result.   Based on the information in the ANOVA, what is the decision regarding the global null hypothesis?

Accepted Answer

Fail to reject the null hypoth

Question 14

If there are four independent variables in a multiple regression equation, there are also four

Accepted Answer

A)  Y-intercepts. 
B)  regression coefficients. 
C)  dependent variables. 
D)  constant terms. 
A)  Y-intercepts. 
B)  regression coefficients. 
C)  dependent variables. 
D)  constant terms.

Question 15

In multiple regression analysis, a correlation matrix is used to check for ____________

Accepted Answer

The answer of In multiple regression analysis, a correlation matrix...

Question 16

A correlation matrix can be used to assess multicollinearity between independent variables.

Accepted Answer

A) True 
 B)False

Question 17

If the null hypothesis, Ho: $\beta$4 = 0, is not rejected, what effect does the independent variable, X4, have when predicting the dependent variable? ______

Accepted Answer

Question 18

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

Question 19

A multiple regression analysis showed the following ANOVA table result.   Based on the information in the ANOVA, what is the decision regarding the global null hypothesis?

Accepted Answer

Reject the null hypothesis, th

Question 20

The best example of a null hypothesis for a global test of a multiple regression model is:

Accepted Answer

A)  H0: $\beta$1 = $\beta$2 = $\beta$3 = $\beta$4 = 0 
B)  H0: µ1 = µ2 = µ3 = µ4 = 0 
C)  H0: $\beta$1 = 0 
D)  If F is greater than 20.00 then reject. 
A)  H0: $\beta$1 = $\beta$2 = $\beta$3 = $\beta$4 = 0 
B)  H0: µ1 = µ2 = µ3 = µ4 = 0 
C)  H0: $\beta$1 = 0 
D)  If F is greater than 20.00 then reject.

What test statistic is used to test the significance of (X₁)(X₂) in a multiple regression model? _____________________

If the hypothesis, H_o: $\beta$ ₁= 0 is rejected, then the sample regression coefficient b₁, indicates the change in the predicted value for a unit change in X₁ when all other X_i variables are held constant.

All other things being held constant, what is the change in the dependent variable for a unit change in the first independent variable for the multiple regression equation: Ŷ = 5.2 + 6.3X₁ - 7.1 X₂?

When applying Stepwise Regression, how many independent variables are included in the first multiple regression model? _____________

If the coefficient of multiple determination is 0.81, what percent of variation is not explained?

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

In a multiple regression ANOVA table, explained variation is represented by

In a regression analysis, three independent variables are used in the equation based on a sample of forty observations. What are the degrees of freedom associated with the F-statistic?

In multiple regression analysis, a dummy variable is

In multiple regression analysis, a dummy variable is coded as a _________________________.

In multiple regression analysis, when the independent variables are highly correlated, this situation is called ___________________.

A researcher is studying the effect of ten different variables on a critical measure of business performance. What method can be used to select the best set of variables to predict performance?

A multiple regression analysis showed the following ANOVA table result. Based on the information in the ANOVA, what is the decision regarding the global null hypothesis?

If there are four independent variables in a multiple regression equation, there are also four

In multiple regression analysis, a correlation matrix is used to check for ____________

A correlation matrix can be used to assess multicollinearity between independent variables.

If the null hypothesis, H_o: $\beta$ ₄ = 0, is not rejected, what effect does the independent variable, X₄, have when predicting the dependent variable? ______

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

A multiple regression analysis showed the following ANOVA table result. Based on the information in the ANOVA, what is the decision regarding the global null hypothesis?

The best example of a null hypothesis for a global test of a multiple regression model is:

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

Index Numbers

Time Series and Forecasting

Nonparametric Methods: Goodness-Of-Fit Tests

Nonparametric Methods: Analysis of Ranked Data

Statistical Process Control and Quality Management

An Introduction to Decision Theory

Filters

Exam 14: Multiple Regression Analysis

What test statistic is used to test the significance of (X1)(X2) in a multiple regression model? _____________________

If the hypothesis, Ho: β\betaβ 1= 0 is rejected, then the sample regression coefficient b1, indicates the change in the predicted value for a unit change in X1 when all other Xi variables are held constant.

All other things being held constant, what is the change in the dependent variable for a unit change in the first independent variable for the multiple regression equation: Ŷ = 5.2 + 6.3X1 - 7.1 X2?

When applying Stepwise Regression, how many independent variables are included in the first multiple regression model? _____________

If the coefficient of multiple determination is 0.81, what percent of variation is not explained?

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

In a multiple regression ANOVA table, explained variation is represented by

In a regression analysis, three independent variables are used in the equation based on a sample of forty observations. What are the degrees of freedom associated with the F-statistic?

In multiple regression analysis, a dummy variable is

In multiple regression analysis, a dummy variable is coded as a _________________________.

In multiple regression analysis, when the independent variables are highly correlated, this situation is called ___________________.

A researcher is studying the effect of ten different variables on a critical measure of business performance. What method can be used to select the best set of variables to predict performance?

A multiple regression analysis showed the following ANOVA table result. Based on the information in the ANOVA, what is the decision regarding the global null hypothesis?

If there are four independent variables in a multiple regression equation, there are also four

In multiple regression analysis, a correlation matrix is used to check for ____________

A correlation matrix can be used to assess multicollinearity between independent variables.

If the null hypothesis, Ho: β\betaβ 4 = 0, is not rejected, what effect does the independent variable, X4, have when predicting the dependent variable? ______

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

A multiple regression analysis showed the following ANOVA table result. Based on the information in the ANOVA, what is the decision regarding the global null hypothesis?

The best example of a null hypothesis for a global test of a multiple regression model is:

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

Index Numbers

Time Series and Forecasting

Nonparametric Methods: Goodness-Of-Fit Tests

Nonparametric Methods: Analysis of Ranked Data

Statistical Process Control and Quality Management

An Introduction to Decision Theory

Filters

What test statistic is used to test the significance of (X₁)(X₂) in a multiple regression model? _____________________

If the hypothesis, H_o: $\beta$ ₁= 0 is rejected, then the sample regression coefficient b₁, indicates the change in the predicted value for a unit change in X₁ when all other X_i variables are held constant.

All other things being held constant, what is the change in the dependent variable for a unit change in the first independent variable for the multiple regression equation: Ŷ = 5.2 + 6.3X₁ - 7.1 X₂?

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

If the null hypothesis, H_o: $\beta$ ₄ = 0, is not rejected, what effect does the independent variable, X₄, have when predicting the dependent variable? ______