Question 1

In a multiple regression analysis ANOVA table, what determines the degrees of freedom associated with the regression sum of squares? ___________________

Accepted Answer

The number

Question 2

The degrees of freedom associated with the regression sum of squares equals

Accepted Answer

A)  the number of independent variables 
B)  1 
C)  F-ratio 
D)  (n - 2) 
A)  the number of independent variables 
B)  1 
C)  F-ratio 
D)  (n - 2)

Question 3

If the correlation between the two independent variables of a regression analysis is 0.11 and each independent variable is highly correlated to the dependent variable, what does this indicate?

Accepted Answer

A)  Multicollinearity between these two independent variables 
B)  A negative relationship is not possible 
C)  Only one of the two independent variables will explain a high percent of the variation 
D)  An effective regression equation 
A)  Multicollinearity between these two independent variables 
B)  A negative relationship is not possible 
C)  Only one of the two independent variables will explain a high percent of the variation 
D)  An effective regression equation

Question 4

What is the range of values for multiple R2?

Accepted Answer

A)  -100% to +100% inclusive 
B)  -100% to 0% inclusive 
C)  0% to +100% inclusive 
D)  Unlimited range 
A)  -100% to +100% inclusive 
B)  -100% to 0% inclusive 
C)  0% to +100% inclusive 
D)  Unlimited range

Question 5

Which statistic is used to test a global hypothesis about a multiple regression equation?

Accepted Answer

A)  t-statistic 
B)  z-statistic 
C)    (chi-square statistic) 
D)  F 
A)  t-statistic 
B)  z-statistic 
C)    (chi-square statistic) 
D)  F

Question 6

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 non-significant variable in the model. 
C)  The intercept is the only significant variable in the model. 
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 non-significant variable in the model. 
C)  The intercept is the only significant variable in the model. 
D)  "Service" is the only significant variable in the model.

Question 7

The Stepwise Regression procedure is also called __________.

Accepted Answer

the forwar

Question 8

In multiple regression analysis, residuals (Y - Ŷ) should be

Accepted Answer

A)  qualitative variables. 
B)  significantly different from zero. 
C)  correlated. 
D)  normally distributed with a mean of zero. 
A)  qualitative variables. 
B)  significantly different from zero. 
C)  correlated. 
D)  normally distributed with a mean of zero.

Question 9

What test statistic is used to test the significance of an independent variable in a multiple regression model? ______

Accepted Answer

The answer of What test statistic is used to test...

Question 10

The production of automobile tires in any given year is related to the number of automobiles produced this year and in prior years. Suppose our econometric model resulted in the following data.   What is the equation for our model?

Accepted Answer

Number of tires prod

Question 11

How are scatter diagrams used to evaluate the assumptions of linear multiple regression?

Accepted Answer

A scatter diagram can be used to evaluat

Question 12

What statistic is used to assess multicollinearity in multiple regression analysis?

Accepted Answer

Variance i

Question 13

In multiple regression, what statistic is used to test the global hypothesis? _____________

Accepted Answer

The answer of In multiple regression, what statistic is used...

Question 14

In multiple regression, the Multiple   measures the proportion of _____________.

Accepted Answer

explained

Question 15

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:   In the regression model, which of the following are dummy variables?

Accepted Answer

A)  Intercept 
B)  Service 
C)  Service and gender 
D)  Gender and job 
A)  Intercept 
B)  Service 
C)  Service and gender 
D)  Gender and job

Question 16

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

Question 17

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

Accepted Answer

A)  Provide a global test of a multiple regression model. 
B)  Evaluate multicollinearity. 
C)  Evaluate homoscedasticity. 
D)  Compare two regression coefficients. 
A)  Provide a global test of a multiple regression model. 
B)  Evaluate multicollinearity. 
C)  Evaluate homoscedasticity. 
D)  Compare two regression coefficients.

Question 18

If a data set of ten observations is used in a multiple regression analysis with ten independent variables, then

Accepted Answer

A)  the R2 will be equal to 1.0. 
B)  the multiple standard error of the estimate will be 1.0. 
C)  the independent variables will be correlated. 
D)  the regression coefficients will all equal 1.0. 
A)  the R2 will be equal to 1.0. 
B)  the multiple standard error of the estimate will be 1.0. 
C)  the independent variables will be correlated. 
D)  the regression coefficients will all equal 1.0.

Question 19

A multiple regression analysis showed the following ANOVA table result.   Based on the information in the ANOVA, what is the multiple coefficient of determination?

Accepted Answer

The answer of A multiple regression analysis showed the following...

Question 20

A researcher is studying the effect of ten different variables on a critical measure of business performance. A multiple regression analysis including all ten variables is performed. What criterion could be used to eliminate one of the ten variables?

Accepted Answer

A)  Multiple R2. 
B)  Largest p-value. 
C)  Smallest p-value. 
D)  Smallest regression coefficient. 
A)  Multiple R2. 
B)  Largest p-value. 
C)  Smallest p-value. 
D)  Smallest regression coefficient.

In a multiple regression analysis ANOVA table, what determines the degrees of freedom associated with the regression sum of squares? ___________________

The degrees of freedom associated with the regression sum of squares equals

If the correlation between the two independent variables of a regression analysis is 0.11 and each independent variable is highly correlated to the dependent variable, what does this indicate?

What is the range of values for multiple R²?

Which statistic is used to test a global hypothesis about a multiple regression equation?

The Stepwise Regression procedure is also called __________.

In multiple regression analysis, residuals (Y - Ŷ) should be

What test statistic is used to test the significance of an independent variable in a multiple regression model? ______

The production of automobile tires in any given year is related to the number of automobiles produced this year and in prior years. Suppose our econometric model resulted in the following data. What is the equation for our model?

How are scatter diagrams used to evaluate the assumptions of linear multiple regression?

What statistic is used to assess multicollinearity in multiple regression analysis?

In multiple regression, what statistic is used to test the global hypothesis? _____________

In multiple regression, the Multiple measures the proportion of _____________.

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?

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

If a data set of ten observations is used in a multiple regression analysis with ten independent variables, then

A multiple regression analysis showed the following ANOVA table result. Based on the information in the ANOVA, what is the multiple coefficient of determination?

A researcher is studying the effect of ten different variables on a critical measure of business performance. A multiple regression analysis including all ten variables is performed. What criterion could be used to eliminate one of the ten variables?

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

In a multiple regression analysis ANOVA table, what determines the degrees of freedom associated with the regression sum of squares? ___________________

The degrees of freedom associated with the regression sum of squares equals

If the correlation between the two independent variables of a regression analysis is 0.11 and each independent variable is highly correlated to the dependent variable, what does this indicate?

What is the range of values for multiple R2?

Which statistic is used to test a global hypothesis about a multiple regression equation?

The Stepwise Regression procedure is also called __________.

In multiple regression analysis, residuals (Y - Ŷ) should be

What test statistic is used to test the significance of an independent variable in a multiple regression model? ______

The production of automobile tires in any given year is related to the number of automobiles produced this year and in prior years. Suppose our econometric model resulted in the following data. What is the equation for our model?

How are scatter diagrams used to evaluate the assumptions of linear multiple regression?

What statistic is used to assess multicollinearity in multiple regression analysis?

In multiple regression, what statistic is used to test the global hypothesis? _____________

In multiple regression, the Multiple measures the proportion of _____________.

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?

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

If a data set of ten observations is used in a multiple regression analysis with ten independent variables, then

A multiple regression analysis showed the following ANOVA table result. Based on the information in the ANOVA, what is the multiple coefficient of determination?

A researcher is studying the effect of ten different variables on a critical measure of business performance. A multiple regression analysis including all ten variables is performed. What criterion could be used to eliminate one of the ten variables?

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 is the range of values for multiple R²?