Question 1

An "all possible regressions" search of a data set containing 7 independent variables will produce ___ regressions.

Accepted Answer

A) 13 
B) 127 
C) 48 
D) 64 
E) 97 
A) 13 
B) 127 
C) 48 
D) 64 
E) 97

Question 2

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

Accepted Answer

A) 2k -1 
B) 2k-1 
C) k2 - 1 
D) 2k - 1 
E) 2k 
A) 2k -1 
B) 2k-1 
C) k2 - 1 
D) 2k - 1 
E) 2k

Question 3

A useful tool in improving the regression model fit is recoding data.

Accepted Answer

A) True 
 B)False

Question 4

If a square root transformation is applied to a series of positive numbers greater than 1, the numerical values of the numbers in the transformed series will be smaller than the corresponding numbers in the original series.

Accepted Answer

A) True 
 B)False

Question 5

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 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 6

Alan Ho, a market analyst for Clear Sound Inc., 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:   For two sales districts with the same number of teenagers one urban and one rural, Alan's model predicts ___.

Accepted Answer

A) $1,566,666 higher sales in the rural district 
B) the same sales in both districts 
C) $1,566,666 lower sales in the rural district 
D) $1,700,000 higher sales in the urban district 
E) $ 1,700,000 lower sales in the rural district 
A) $1,566,666 higher sales in the rural district 
B) the same sales in both districts 
C) $1,566,666 lower sales in the rural district 
D) $1,700,000 higher sales in the urban district 
E) $ 1,700,000 lower sales in the rural district

Question 7

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 8

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 9

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

Question 10

Carlos Martin, Director of Human Resources, is exploring employee absenteeism at the Plano Automotive 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 11

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 12

Alan Ho, a market analyst for Clear Sound Inc., 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:   For an urban sales district with 10,000 teenagers, Alan's model predicts annual sales of heavy metal CD sales of ___.

Accepted Answer

A) $2,100,000 
B) $524,507 
C) $533,333 
D) $729,683 
E) $21,000,000 
A) $2,100,000 
B) $524,507 
C) $533,333 
D) $729,683 
E) $21,000,000

Question 13

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 14

A multiple regression analysis produced the following tables:     For x1= 10, the predicted value of y is ___.

Accepted Answer

A) 8.88 
B) 2,031.38 
C) 253.86 
D) 262.19 
E) 2,535.86 
A) 8.88 
B) 2,031.38 
C) 253.86 
D) 262.19 
E) 2,535.86

Question 15

If a qualitative variable has 4 categories, how many dummy variables must be created and used in the regression analysis?

Accepted Answer

A) 3 
B) 4 
C) 5 
D) 6 
E) 7 
A) 3 
B) 4 
C) 5 
D) 6 
E) 7

Question 16

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) a x2 transform may be useful 
D) no transform is needed 
E) a 1/x transform may be useful 
A) a log x transform may be useful 
B) a log y transform may be useful 
C) a x2 transform may be useful 
D) no transform is needed 
E) a 1/x transform may be useful

Question 17

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 18

Yvonne Lang, VP of Finance at Digital Components, Inc.(DCI), wants a regression model which predicts the average collection period on credit sales.Her data set includes two qualitative variables: sales discount rates (0%, 2%, 4%, and 6%), and total assets of credit customers (small, medium, and large).The number of dummy variables needed for "sales discount rate" in Yvonne's regression model is ___.

Accepted Answer

A) 1 
B) 2 
C) 3 
D) 4 
E) 7 
A) 1 
B) 2 
C) 3 
D) 4 
E) 7

Question 19

Alan Ho, a market analyst for Clear Sound Inc., 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:   For a rural sales district with 10,000 teenagers, Alan's model predicts annual sales of heavy metal CD sales of ___.

Accepted Answer

A) $2,100,000 
B) $524,507 
C) $533,333 
D) $729,683 
E) $210,000 
A) $2,100,000 
B) $524,507 
C) $533,333 
D) $729,683 
E) $210,000

Question 20

Regression models in which the highest power of any predictor variable is 1 and in which there are no cross product terms are referred to as first-order models.

Accepted Answer

A) True 
 B)False

An "all possible regressions" search of a data set containing 7 independent variables will produce ___ regressions.

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

A useful tool in improving the regression model fit is recoding data.

If a square root transformation is applied to a series of positive numbers greater than 1, the numerical values of the numbers in the transformed series will be smaller than the corresponding numbers in the original series.

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 ___.

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?

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 ___.

Carlos Martin, Director of Human Resources, is exploring employee absenteeism at the Plano Automotive 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?

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

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

A multiple regression analysis produced the following tables: For x₁= 10, the predicted value of y is ___.

If a qualitative variable has 4 categories, how many dummy variables must be created and used in the regression analysis?

The following scatter plot indicates that ___.

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

Regression models in which the highest power of any predictor variable is 1 and in which there are no cross product terms are referred to as first-order models.

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

An "all possible regressions" search of a data set containing 7 independent variables will produce ___ regressions.

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

A useful tool in improving the regression model fit is recoding data.

If a square root transformation is applied to a series of positive numbers greater than 1, the numerical values of the numbers in the transformed series will be smaller than the corresponding numbers in the original series.

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 ___.

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?

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 ___.

Carlos Martin, Director of Human Resources, is exploring employee absenteeism at the Plano Automotive 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?

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

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

A multiple regression analysis produced the following tables: For x1= 10, the predicted value of y is ___.

If a qualitative variable has 4 categories, how many dummy variables must be created and used in the regression analysis?

The following scatter plot indicates that ___.

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

Regression models in which the highest power of any predictor variable is 1 and in which there are no cross product terms are referred to as first-order models.

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= 10, the predicted value of y is ___.

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