Question 1

A multiple regression analysis produced the following tables:     For x1= 20, the predicted value of y is ___.

Accepted Answer

A) 5531.17 
B) 1,928.25 
C) 1023.05 
D) 3149.75 
E) 9380.35 
A) 5531.17 
B) 1,928.25 
C) 1023.05 
D) 3149.75 
E) 9380.35 A

Question 2

Abby Ross, a market specialist at the market research firm of Saez, Gann, and Spitz, is analyzing household budget data collected by her firm.Abby's dependent variable is monthly household expenditures on groceries (in $'s), and her independent variables are annual household income (in $1,000's)and household neighbourhood (0 = suburban, 1 = rural).Regression analysis of the data yielded the following table:   For two households, one suburban and one rural, Abby's model predicts ___.

Accepted Answer

A) equal monthly expenditures for groceries 
B) the suburban household's monthly expenditures for groceries will be $49 more 
C) the rural household's monthly expenditures for groceries will be $49 more 
D) the suburban household's monthly expenditures for groceries will be $8 more 
E) the rural household's monthly expenditures for groceries will be $49 less 
A) equal monthly expenditures for groceries 
B) the suburban household's monthly expenditures for groceries will be $49 more 
C) the rural household's monthly expenditures for groceries will be $49 more 
D) the suburban household's monthly expenditures for groceries will be $8 more 
E) the rural household's monthly expenditures for groceries will be $49 less C

Question 3

In multiple regression analysis, qualitative variables are sometimes referred to as ___.

Accepted Answer

A) dummy variables 
B) quantitative variables 
C) dependent variables 
D) performance variables 
E) cardinal variables 
A) dummy variables 
B) quantitative variables 
C) dependent variables 
D) performance variables 
E) cardinal variables A

Question 4

An acceptable method of managing multicollinearity in a regression model is to ___.

Accepted Answer

A) use the forward selection procedure 
B) use the backward elimination procedure 
C) use the forward elimination procedure 
D) use the stepwise regression procedure 
E) use all possible regressions 
A) use the forward selection procedure 
B) use the backward elimination procedure 
C) use the forward elimination procedure 
D) use the stepwise regression procedure 
E) use all possible regressions

Question 5

A logarithmic transformation may be applied to both positive and negative numbers.

Accepted Answer

A) True 
 B)False

Question 6

Qualitative data cannot be incorporated into linear regression models.

Accepted Answer

A) True 
 B)False

Question 7

The following scatter plot indicates that ___.

Accepted Answer

A) a log x transform may be useful 
B) a log y transform may be useful 
C) an x2 transform may be useful 
D) no transform is needed 
E) a (- x)transform may be useful 
A) a log x transform may be useful 
B) a log y transform may be useful 
C) an x2 transform may be useful 
D) no transform is needed 
E) a (- x)transform may be useful

Question 8

A multiple regression analysis produced the following tables:     The regression equation for this analysis is ___.

Accepted Answer

A) y = 762.1533 + 96.8433 x1 + 3.007943 x12 
B) y = 1411.876 + 762.1533 x1 + 1.852483 x12 
C) y = 1411.876 + 35.18215 x1 + 7.721648 x12 
D) y = 762.1533 + 1.852483 x1 + 0.074919 x12 
E) y = 762.1533 - 1.852483 x1 + 0.074919 x12 
A) y = 762.1533 + 96.8433 x1 + 3.007943 x12 
B) y = 1411.876 + 762.1533 x1 + 1.852483 x12 
C) y = 1411.876 + 35.18215 x1 + 7.721648 x12 
D) y = 762.1533 + 1.852483 x1 + 0.074919 x12 
E) y = 762.1533 - 1.852483 x1 + 0.074919 x12

Question 9

A multiple regression analysis produced the following tables:     Using $\alpha$ = 0.05 to test the null hypothesis H0: $\beta$2 = 0, the critical t value is ___.

Accepted Answer

A) ± 1.311 
B) ± 1.699 
C) ± 1.703 
D) ± 2.052 
E) ± 2.502 
A) ± 1.311 
B) ± 1.699 
C) ± 1.703 
D) ± 2.052 
E) ± 2.502

Question 10

The regression model y = $\beta$0 + $\beta$1 x1 + $\beta$2 x2 + $\beta$3 x3 + $\varepsilon$is a third order model.

Accepted Answer

A) True 
 B)False

Question 11

Hope Williams, Marketing Manager of RightAid Pharmacy, Inc., wants a regression model to predict sales in the greeting card department.Her data set includes two qualitative variables: the pharmacy neighbourhood (urban, suburban, and rural), and lighting level in the greeting card department (soft, medium, and bright).The number of dummy variables needed for "lighting level" in Hope's regression model is ___.

Accepted Answer

A) 1 
B) 2 
C) 3 
D) 4 
E) 5 
A) 1 
B) 2 
C) 3 
D) 4 
E) 5

Question 12

A multiple regression analysis produced the following tables:     Using $\alpha$ = 0.10 to test the null hypothesis H0: $\beta$1 = 0, the critical t value is ___.

Accepted Answer

A) ± 1.316 
B) ± 1.314 
C) ± 1.703 
D) ± 1.780 
E) ± 1.708 
A) ± 1.316 
B) ± 1.314 
C) ± 1.703 
D) ± 1.780 
E) ± 1.708

Question 13

Inspection of the following table of correlation coefficients for variables in a multiple regression analysis reveals potential multicollinearity with variables ___.

Accepted Answer

A) x1 and x5 
B) x2 and x3 
C) x4 and x2 
D) x4 and x3 
E) x4 and y 
A) x1 and x5 
B) x2 and x3 
C) x4 and x2 
D) x4 and x3 
E) x4 and y

Question 14

Inspection of the following table of correlation coefficients for variables in a multiple regression analysis reveals that the first independent variable that will be entered into the regression model by the forward selection procedure will be ___.

Accepted Answer

A) x1 
B) x2 
C) x3 
D) x4 
E) x5 
A) x1 
B) x2 
C) x3 
D) x4 
E) x5

Question 15

A multiple regression analysis produced the following tables:     Using $\alpha$ = 0.05 to test the null hypothesis H0: $\beta$1 = 0, the critical t value is ___.

Accepted Answer

A) ± 1.311 
B) ± 1.699 
C) ± 1.703 
D) ± 2.502 
E) ± 2.052 
A) ± 1.311 
B) ± 1.699 
C) ± 1.703 
D) ± 2.502 
E) ± 2.052

Question 16

The interaction between two independent variables can be examined by including a new variable, which is the sum of the two independent variables, in the regression model.

Accepted Answer

A) True 
 B)False

Question 17

A linear regression model can be used to explore the possibility that a quadratic relationship may exist between two variables by suitably transforming the independent variable.

Accepted Answer

A) True 
 B)False

Question 18

Inspection of the following table of correlation coefficients for variables in a multiple regression analysis reveals that the first independent variable that will be entered into the regression model by the forward selection procedure will be ___.

Accepted Answer

A) x1 
B) x2 
C) x3 
D) x4 
E) x5 
A) x1 
B) x2 
C) x3 
D) x4 
E) x5

Question 19

The following scatter plot indicates that ___.

Accepted Answer

A) a x2 transform may be useful 
B) a log y transform may be useful 
C) a x4 transform may be useful 
D) no transform is needed 
E) a x3 transform may be useful 
A) a x2 transform may be useful 
B) a log y transform may be useful 
C) a x4 transform may be useful 
D) no transform is needed 
E) a x3 transform may be useful

Question 20

A linear regression model cannot be used to explore the possibility that a quadratic relationship may exist between two variables.

Accepted Answer

A) True 
 B)False

A multiple regression analysis produced the following tables: For x₁= 20, the predicted value of y is ___.

In multiple regression analysis, qualitative variables are sometimes referred to as ___.

An acceptable method of managing multicollinearity in a regression model is to ___.

A logarithmic transformation may be applied to both positive and negative numbers.

Qualitative data cannot be incorporated into linear regression models.

The following scatter plot indicates that ___.

A multiple regression analysis produced the following tables: The regression equation for this analysis is ___.

The regression model y = $\beta$ ₀ + $\beta$ ₁ x₁ + $\beta$ ₂ x₂ + $\beta$ ₃ x₃ + $\varepsilon$ is a third order model.

Inspection of the following table of correlation coefficients for variables in a multiple regression analysis reveals potential multicollinearity with variables ___.

Inspection of the following table of correlation coefficients for variables in a multiple regression analysis reveals that the first independent variable that will be entered into the regression model by the forward selection procedure will be ___.

The interaction between two independent variables can be examined by including a new variable, which is the sum of the two independent variables, in the regression model.

A linear regression model can be used to explore the possibility that a quadratic relationship may exist between two variables by suitably transforming the independent variable.

Inspection of the following table of correlation coefficients for variables in a multiple regression analysis reveals that the first independent variable that will be entered into the regression model by the forward selection procedure will be ___.

The following scatter plot indicates that ___.

A linear regression model cannot be used to explore the possibility that a quadratic relationship may exist between two variables.

Introduction to Statistics

Charts and Graphs

Descriptive Statistics

Probability

Discrete Distributions

Continuous Distributions

Sampling and Sampling Distributions

Statistical Inference: Estimation for Single Populations

Statistical Inference: Hypothesis Testing for Single Populations

Statistical Inferences About Two Populations

Analysis of Variance and Design of Experiments

Simple Regression Analysis and Correlation

Multiple Regression Analysis

Time-Series Forecasting and Index Numbers

Analysis of Categorical Data

Nonparametric Statistics

Statistical Quality Control

Decision Analysis

Filters

Exam 14: Building Multiple Regression Models

A multiple regression analysis produced the following tables: For x1= 20, the predicted value of y is ___.

In multiple regression analysis, qualitative variables are sometimes referred to as ___.

An acceptable method of managing multicollinearity in a regression model is to ___.

A logarithmic transformation may be applied to both positive and negative numbers.

Qualitative data cannot be incorporated into linear regression models.

The following scatter plot indicates that ___.

A multiple regression analysis produced the following tables: The regression equation for this analysis is ___.

A multiple regression analysis produced the following tables: Using α\alphaα = 0.05 to test the null hypothesis H0: β\betaβ 2 = 0, the critical t value is ___.

The regression model y = β\betaβ 0 + β\betaβ 1 x1 + β\betaβ 2 x2 + β\betaβ 3 x3 + ε\varepsilonε is a third order model.

A multiple regression analysis produced the following tables: Using α\alphaα = 0.10 to test the null hypothesis H0: β\betaβ 1 = 0, the critical t value is ___.

Inspection of the following table of correlation coefficients for variables in a multiple regression analysis reveals potential multicollinearity with variables ___.

Inspection of the following table of correlation coefficients for variables in a multiple regression analysis reveals that the first independent variable that will be entered into the regression model by the forward selection procedure will be ___.

A multiple regression analysis produced the following tables: Using α\alphaα = 0.05 to test the null hypothesis H0: β\betaβ 1 = 0, the critical t value is ___.

The interaction between two independent variables can be examined by including a new variable, which is the sum of the two independent variables, in the regression model.

A linear regression model can be used to explore the possibility that a quadratic relationship may exist between two variables by suitably transforming the independent variable.

Inspection of the following table of correlation coefficients for variables in a multiple regression analysis reveals that the first independent variable that will be entered into the regression model by the forward selection procedure will be ___.

The following scatter plot indicates that ___.

A linear regression model cannot be used to explore the possibility that a quadratic relationship may exist between two variables.

Introduction to Statistics

Charts and Graphs

Descriptive Statistics

Probability

Discrete Distributions

Continuous Distributions

Sampling and Sampling Distributions

Statistical Inference: Estimation for Single Populations

Statistical Inference: Hypothesis Testing for Single Populations

Statistical Inferences About Two Populations

Analysis of Variance and Design of Experiments

Simple Regression Analysis and Correlation

Multiple Regression Analysis

Time-Series Forecasting and Index Numbers

Analysis of Categorical Data

Nonparametric Statistics

Statistical Quality Control

Decision Analysis

Filters

A multiple regression analysis produced the following tables: For x₁= 20, the predicted value of y is ___.

The regression model y = $\beta$ ₀ + $\beta$ ₁ x₁ + $\beta$ ₂ x₂ + $\beta$ ₃ x₃ + $\varepsilon$ is a third order model.