Question 1

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

Accepted Answer

A) 27 
B) 29 
C) 30 
D) 25 
E) 28 
A) 27 
B) 29 
C) 30 
D) 25 
E) 28

Question 2

A multiple regression analysis produced the following tables:     
Using $\alpha$ = 0.01 to test the null hypothesis H0: $\beta$1 = $\beta$2 = 0,the critical F value is ___.

Accepted Answer

A) 5.42 
B) 5.49 
C) 7.60 
D) 3.35 
E) 2.49 
A) 5.42 
B) 5.49 
C) 7.60 
D) 3.35 
E) 2.49

Question 3

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

Accepted Answer

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

Question 4

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

Accepted Answer

A) 5,204.18 
B) 2,031.38 
C) 2,538.86 
D) 6262.19 
E) 6,535.86 
A) 5,204.18 
B) 2,031.38 
C) 2,538.86 
D) 6262.19 
E) 6,535.86

Question 5

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 6

Generalize linear regression models as polynomial regression models using model transformation and Tukey's ladder of transformation,accounting for possible interaction among the independent variables.

Accepted Answer

Even when the relationship between our i

Question 7

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 8

Carlos Cavazos,Director of Human Resources,is exploring employee absenteeism at the Plano Piano Plant.A multiple regression analysis was performed using to the following variables.The results are presented below:         Which of the following conclusions can be drawn from the above results?

Accepted Answer

A) All the independent variables in the regression are significant at 5% level. 
B) Commuting distance is a highly significant (<1%)variable in explaining absenteeism. 
C) Age of the employees tends to have a very significant (<1%)effect on absenteeism. 
D) This model explains a little over 49% of the variability in absenteeism data. 
E) A single-parent household employee is expected to be absent less number of days if all other variables are held constant compared to one who is not a single-parent household. 
A) All the independent variables in the regression are significant at 5% level. 
B) Commuting distance is a highly significant (<1%)variable in explaining absenteeism. 
C) Age of the employees tends to have a very significant (<1%)effect on absenteeism. 
D) This model explains a little over 49% of the variability in absenteeism data. 
E) A single-parent household employee is expected to be absent less number of days if all other variables are held constant compared to one who is not a single-parent household.

Question 9

Which of the following iterative search procedures for model building in a multiple regression analysis starts with all independent variables in the model and then drops nonsignificant independent variables in a step-by-step manner?

Accepted Answer

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

Question 10

Explain when to use logistic regression,and interpret its results.

Accepted Answer

For a variety of reasons,including assum

Question 11

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

Question 12

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 13

Multiple linear regression models can handle certain nonlinear relationships by ___.

Accepted Answer

A) biasing the sample 
B) recoding or transforming variables 
C) adjusting the resultant ANOVA table 
D) adjusting the observed t and F values 
E) performing nonlinear regression 
A) biasing the sample 
B) recoding or transforming variables 
C) adjusting the resultant ANOVA table 
D) adjusting the observed t and F values 
E) performing nonlinear regression

Question 14

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

Accepted Answer

A) 28 
B) 25 
C) 30 
D) 27 
E) 2 
A) 28 
B) 25 
C) 30 
D) 27 
E) 2

Question 15

Stepwise regression is one of the ways to prevent the problem of multicollinearity.

Accepted Answer

A) True 
 B)False

Question 16

Alan Bissell,a market analyst for City Sound Mart,is analyzing sales of heavy metal CD's.Alan's dependent variable is annual heavy metal CD sales (in $1,000,000's),and his independent variables are teenage population (in 1,000's)and type of sales district (0 = urban,1 = rural).Regression analysis of the data yielded the following tables:   Alan's model is ___.

Accepted Answer

A) y = 1.7 + 0.384212 x1 + 4.424638 x2 + 0.00166 x3 
B) y = 1.7 + 0.04 x1 + 1.5666667 x2 
C) y = 0.384212 + 0.014029 x1 + 0.20518 x2 
D) y = 4.424638 + 2.851146 x1 - 7.63558 x2 
E) y = 1.7 + 0.04 x1 - 1.5666667 x2 
A) y = 1.7 + 0.384212 x1 + 4.424638 x2 + 0.00166 x3 
B) y = 1.7 + 0.04 x1 + 1.5666667 x2 
C) y = 0.384212 + 0.014029 x1 + 0.20518 x2 
D) y = 4.424638 + 2.851146 x1 - 7.63558 x2 
E) y = 1.7 + 0.04 x1 - 1.5666667 x2

Question 17

An "all possible regressions" search of a data set containing 9 independent variables will produce ___ regressions.

Accepted Answer

A) 9 
B) 18 
C) 115 
D) 151 
E) 511 
A) 9 
B) 18 
C) 115 
D) 151 
E) 511

Question 18

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 19

Hope Hernandez,Marketing Manager of People's 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 Hope's regression model is ___.

Accepted Answer

A) 2 
B) 4 
C) 6 
D) 8 
E) 9 
A) 2 
B) 4 
C) 6 
D) 8 
E) 9

Question 20

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

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

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

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

The following scatter plot indicates that ___.

Generalize linear regression models as polynomial regression models using model transformation and Tukey's ladder of transformation,accounting for possible interaction among the independent variables.

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

Carlos Cavazos,Director of Human Resources,is exploring employee absenteeism at the Plano Piano Plant.A multiple regression analysis was performed using to the following variables.The results are presented below: Which of the following conclusions can be drawn from the above results?

Which of the following iterative search procedures for model building in a multiple regression analysis starts with all independent variables in the model and then drops nonsignificant independent variables in a step-by-step manner?

Explain when to use logistic regression,and interpret its results.

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

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.

Multiple linear regression models can handle certain nonlinear relationships by ___.

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

Stepwise regression is one of the ways to prevent the problem of multicollinearity.

An "all possible regressions" search of a data set containing 9 independent variables will produce ___ regressions.

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: The sample size for this analysis is ___.

A multiple regression analysis produced the following tables: Using α\alphaα = 0.01 to test the null hypothesis H0: β\betaβ 1 = β\betaβ 2 = 0,the critical F value is ___.

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

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

The following scatter plot indicates that ___.

Generalize linear regression models as polynomial regression models using model transformation and Tukey's ladder of transformation,accounting for possible interaction among the independent variables.

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

Carlos Cavazos,Director of Human Resources,is exploring employee absenteeism at the Plano Piano Plant.A multiple regression analysis was performed using to the following variables.The results are presented below: Which of the following conclusions can be drawn from the above results?

Which of the following iterative search procedures for model building in a multiple regression analysis starts with all independent variables in the model and then drops nonsignificant independent variables in a step-by-step manner?

Explain when to use logistic regression,and interpret its results.

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

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.

Multiple linear regression models can handle certain nonlinear relationships by ___.

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

Stepwise regression is one of the ways to prevent the problem of multicollinearity.

An "all possible regressions" search of a data set containing 9 independent variables will produce ___ regressions.

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 ___.

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 ___.

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 ___.