Question 1

Correlation among successive observations of the dependent variable is called ________________.

Accepted Answer

The answer of Correlation among successive observations of the dependent...

Question 2

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

Accepted Answer

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

Question 3

In a multiple regression analysis, the statistic used to evaluate the presence of correlated independent variables is __________________.

Accepted Answer

The varian

Question 4

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

Accepted Answer

Normal dis

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) Χ2 (chi-square statistic) 
D) F 
A) t-statistic 
B) z-statistic 
C) Χ2 (chi-square statistic) 
D) F

Question 6

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 7

If a data set of 10 observations is used in a multiple regression analysis with 10 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 8

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

Accepted Answer

The answer of In a multiple regression analysis, the following...

Question 9

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

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

Question 10

What happens as the scatter of data values about the regression plane increases?

Accepted Answer

A) The standard error of estimate increases. 
B) R2 increases. 
C) (1 - R2) decreases. 
D) The error sum of squares decreases. 
A) The standard error of estimate increases. 
B) R2 increases. 
C) (1 - R2) decreases. 
D) The error sum of squares decreases.

Question 11

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 12

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 13

A multiple regression analysis showed the following results of the individual independent variables.   X4 is a qualitative variable. If X4 is equal to one, what is the variable's effect on the dependent variable?

Accepted Answer

The dependent variab

Question 14

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 15

If the null hypothesis, H0: β1 = 0, is rejected, the independent variable, X1, it has a ______ effect on the dependent variable.

Accepted Answer

Question 16

The stepwise regression procedure is also called ________.

Accepted Answer

The forwar

Question 17

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 18

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:   Which one of the following is the dependent variable?

Accepted Answer

A) Age 
B) Seniority 
C) Level of responsibility 
D) Annual salary 
A) Age 
B) Seniority 
C) Level of responsibility 
D) Annual salary

Question 19

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 20

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.   What is the equation for our model?

Accepted Answer

Number of tires prod

Correlation among successive observations of the dependent variable is called ________________.

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

In a multiple regression analysis, the statistic used to evaluate the presence of correlated independent variables is __________________.

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

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

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.

If a data set of 10 observations is used in a multiple regression analysis with 10 independent variables, then ____________.

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

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?

What happens as the scatter of data values about the regression plane increases?

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

A multiple regression analysis showed the following results of the individual independent variables. X₄ is a qualitative variable. If X₄ is equal to one, what is the variable's effect on the dependent variable?

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

If the null hypothesis, H₀: β₁ = 0, is rejected, the independent variable, X₁, it has a ______ effect on the dependent variable.

The stepwise regression procedure is also called ________.

A valid multiple regression analysis assumes or requires that _________________.

When does multicollinearity occur in a multiple regression analysis?

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. What is the equation for our model?

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: Goodness-Of-Fit Tests

Filters

Exam 14: Multiple Regression Analysis

Correlation among successive observations of the dependent variable is called ________________.

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

In a multiple regression analysis, the statistic used to evaluate the presence of correlated independent variables is __________________.

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

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

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.

If a data set of 10 observations is used in a multiple regression analysis with 10 independent variables, then ____________.

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

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?

What happens as the scatter of data values about the regression plane increases?

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

A multiple regression analysis showed the following results of the individual independent variables. X4 is a qualitative variable. If X4 is equal to one, what is the variable's effect on the dependent variable?

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

If the null hypothesis, H0: β1 = 0, is rejected, the independent variable, X1, it has a ______ effect on the dependent variable.

The stepwise regression procedure is also called ________.

A valid multiple regression analysis assumes or requires that _________________.

When does multicollinearity occur in a multiple regression analysis?

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. What is the equation for our model?

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: Goodness-Of-Fit Tests

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.

A multiple regression analysis showed the following results of the individual independent variables. X₄ is a qualitative variable. If X₄ is equal to one, what is the variable's effect on the dependent variable?

If the null hypothesis, H₀: β₁ = 0, is rejected, the independent variable, X₁, it has a ______ effect on the dependent variable.