Question 1

The coefficient of determination measures the proportion of ____________.

Accepted Answer

A)  Explained variation relative to total variation 
B)  Variation due to the relationship among variables 
C)  Error variation relative to total variation 
D)  Variation due to regression 
A)  Explained variation relative to total variation 
B)  Variation due to the relationship among variables 
C)  Error variation relative to total variation 
D)  Variation due to regression

Question 2

A researcher is studying the relationship between 10 different variables and 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 3

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

Accepted Answer

A)  H0: β1 = β2 = β3 = β4 = 0 
B)  H0: µ1 = µ2 = µ3 = µ4 = 0 
C)  H0: β1 = 0 
D)  If F is greater than 20.00, then reject 
A)  H0: β1 = β2 = β3 = β4 = 0 
B)  H0: µ1 = µ2 = µ3 = µ4 = 0 
C)  H0: β1 = 0 
D)  If F is greater than 20.00, then reject

Question 4

The multiple coefficient of determination, R2, reports the proportion of the variation in Y that is not explained by the variation in the set of independent variables.

Accepted Answer

A) True 
 B)False

Question 5

In multiple regression analysis, how is the degree of association between a set of independent variables and a dependent variable measured?

Accepted Answer

A)  Confidence intervals 
B)  Autocorrelation 
C)  Coefficient of multiple determination 
D)  Standard error of estimate 
A)  Confidence intervals 
B)  Autocorrelation 
C)  Coefficient of multiple determination 
D)  Standard error of estimate

Question 6

How are residual plots drawn and used to evaluate the assumptions of linear multiple regression?

Accepted Answer

A residual plot graphs the residuals aga

Question 7

A valid multiple regression analysis assumes or requires that _________________.

Accepted Answer

A)  The dependent variable is measured using an ordinal, interval, or ratio scale 
B)  The residuals follow an F distribution 
C)  The independent variables and the dependent variable have a linear relationship 
D)  The observations are autocorrelated 
A)  The dependent variable is measured using an ordinal, interval, or ratio scale 
B)  The residuals follow an F distribution 
C)  The independent variables and the dependent variable have a linear relationship 
D)  The observations are autocorrelated

Question 8

A variable that can assume only one of two possible outcomes that take on the values of either 0 or 1, and is used to incorporate the effect of qualitative variables in a regression model is referred to as ________.

Accepted Answer

A)  a dummy variable 
B)  a constant endogenous variable 
C)  an interaction 
D)  a constant 
A)  a dummy variable 
B)  a constant endogenous variable 
C)  an interaction 
D)  a constant

Question 9

If a dependent variable and one of the independent variables are inversely related, the sign for the regression coefficient of the independent variable is ____________.

Accepted Answer

The answer of If a dependent variable and one of...

Question 10

In multiple regression, the ________ is used to test the global hypothesis.

Accepted Answer

The answer of In multiple regression, the ________ is used...

Question 11

The production of car tires in any given year is related to the number of cars produced that year and in prior years. Suppose our econometric model resulted in the following data.   Which variable in the model is the most significant predictor of tire production?

Accepted Answer

X1

Exp

Question 12

When does multicollinearity occur in a multiple regression analysis?

Accepted Answer

A)  When the dependent variables are highly correlated 
B)  When the regression coefficients are correlated 
C)  When the independent variables are highly correlated 
D)  When the independent variables have no correlation 
A)  When the dependent variables are highly correlated 
B)  When the regression coefficients are correlated 
C)  When the independent variables are highly correlated 
D)  When the independent variables have no correlation

Question 13

In an ANOVA table, for a multiple regression analysis, the variation of the dependent variable explained by the variation of the independent variables 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 14

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 ANOVA, the multiple coefficient of determination is _________.

Accepted Answer

A)  5.957% 
B)  59.3% 
C)  40.7% 
D)  Cannot be computed 
A)  5.957% 
B)  59.3% 
C)  40.7% 
D)  Cannot be computed

Question 15

The stepwise regression procedure is also called ________.

Accepted Answer

the forwar

Question 16

Twenty-one executives in a large corporation were randomly selected to study the effect of several factors on annual salary (expressed in $000s). The factors selected were age, seniority, years of college, number of company divisions they had been exposed to, and the level of their responsibility. The results of the regression analysis follow:   What proportion of the total variation in salary is accounted for by the set of independent variables?

Accepted Answer

91.4% Explanation: R² statistic measures

Question 17

A multiple regression analysis showed the following ANOVA table result.   Based on the information in the ANOVA, how many independent variables were included in the multiple regression analysis?

Accepted Answer

2
Explanation: The number of i

Question 18

In a regression analysis, three independent variables are used in the equation based on a sample of 40 observations. In the ANOVA table for a multiple regression analysis, 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 19

Twenty-one executives in a large corporation were randomly selected to study the effect of several factors on annual salary (expressed in $000s). The factors selected were age, seniority, years of college, number of company divisions they had been exposed to, and the level of their responsibility. The results of the regression analysis follow:

Accepted Answer

Test the hypothesis that the regression

Question 20

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

The coefficient of determination measures the proportion of ____________.

A researcher is studying the relationship between 10 different variables and a critical measure of business performance. What method can be used to select the best set of variables to predict performance?

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

The multiple coefficient of determination, R², reports the proportion of the variation in Y that is not explained by the variation in the set of independent variables.

In multiple regression analysis, how is the degree of association between a set of independent variables and a dependent variable measured?

How are residual plots drawn and used to evaluate the assumptions of linear multiple regression?

A valid multiple regression analysis assumes or requires that _________________.

A variable that can assume only one of two possible outcomes that take on the values of either 0 or 1, and is used to incorporate the effect of qualitative variables in a regression model is referred to as ________.

If a dependent variable and one of the independent variables are inversely related, the sign for the regression coefficient of the independent variable is ____________.

In multiple regression, the ________ is used to test the global hypothesis.

The production of car tires in any given year is related to the number of cars produced that year and in prior years. Suppose our econometric model resulted in the following data. Which variable in the model is the most significant predictor of tire production?

When does multicollinearity occur in a multiple regression analysis?

In an ANOVA table, for a multiple regression analysis, the variation of the dependent variable explained by the variation of the independent variables is represented by ___________.

The stepwise regression procedure is also called ________.

A multiple regression analysis showed the following ANOVA table result. Based on the information in the ANOVA, how many independent variables were included in the multiple regression analysis?

In a regression analysis, three independent variables are used in the equation based on a sample of 40 observations. In the ANOVA table for a multiple regression analysis, what are the degrees of freedom associated with the F-statistic?

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

The coefficient of determination measures the proportion of ____________.

A researcher is studying the relationship between 10 different variables and a critical measure of business performance. What method can be used to select the best set of variables to predict performance?

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

The multiple coefficient of determination, R2, reports the proportion of the variation in Y that is not explained by the variation in the set of independent variables.

In multiple regression analysis, how is the degree of association between a set of independent variables and a dependent variable measured?

How are residual plots drawn and used to evaluate the assumptions of linear multiple regression?

A valid multiple regression analysis assumes or requires that _________________.

A variable that can assume only one of two possible outcomes that take on the values of either 0 or 1, and is used to incorporate the effect of qualitative variables in a regression model is referred to as ________.

If a dependent variable and one of the independent variables are inversely related, the sign for the regression coefficient of the independent variable is ____________.

In multiple regression, the ________ is used to test the global hypothesis.

The production of car tires in any given year is related to the number of cars produced that year and in prior years. Suppose our econometric model resulted in the following data. Which variable in the model is the most significant predictor of tire production?

When does multicollinearity occur in a multiple regression analysis?

In an ANOVA table, for a multiple regression analysis, the variation of the dependent variable explained by the variation of the independent variables is represented by ___________.

The stepwise regression procedure is also called ________.

A multiple regression analysis showed the following ANOVA table result. Based on the information in the ANOVA, how many independent variables were included in the multiple regression analysis?

In a regression analysis, three independent variables are used in the equation based on a sample of 40 observations. In the ANOVA table for a multiple regression analysis, what are the degrees of freedom associated with the F-statistic?

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

The multiple coefficient of determination, R², reports the proportion of the variation in Y that is not explained by the variation in the set of independent variables.