Question 1

The regression model y = $\beta$0 + $\beta$1 x1 + $\beta$2 x21 + $\varepsilon$ is called a quadratic model.

Accepted Answer

A) True 
 B)False

Question 2

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 3

Carlos Cavazos,Director of Human Resources,is exploring employee absenteeism at the Plano Piano Plant.A multiple regression analysis was performed using 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 all other variables 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 all other variables held constant compared to one who is not a single-parent household.

Question 4

Hope Hernandez is the new regional Vice President for a large gasoline station chain.She wants a regression model to predict sales in the convenience stores.Her data set includes two qualitative variables: the gasoline station location (inner city,freeway,and suburbs),and curb appeal of the convenience store (low,medium,and high).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 5

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 6

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

Question 7

A local parent group was concerned with the increasing school cost for families with school aged children.The parent group was interested in understanding the relationship between the
The academic grade level for the child and the total costs spent per child per academic year.They
Performed a multiple regression analysis using total cost as the dependent variable and academic
Year (x1)as the independent variables.The multiple regression analysis produced the following
Tables.
    For a child in grade 10 (x1= 10)the predicted value of y is ____________.

Accepted Answer

A) 707.91 
B) 1,117.38 
C) 856.08 
D) 2,189.54 
E) 1,928.24 
A) 707.91 
B) 1,117.38 
C) 856.08 
D) 2,189.54 
E) 1,928.24

Question 8

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 9

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 10

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 11

If a qualitative variable has c categories,then only (c - 1)dummy variables must be included in the regression model.

Accepted Answer

A) True 
 B)False

Question 12

The regression model y = $\beta$0 + $\beta$1 x1 + $\beta$2 x2 + $\beta$3 x1x2 + $\varepsilon$ is a first order model.

Accepted Answer

A) True 
 B)False

Question 13

If a qualitative variable has c categories,then c dummy variables must be included in the regression model,one for each category.

Accepted Answer

A) True 
 B)False

Question 14

The following scatter plot indicates that _________.

Accepted Answer

A) a log x transform may be useful 
B) a y2 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 y2 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 15

Qualitative data can be incorporated into linear regression models using indicator variables.

Accepted Answer

A) True 
 B)False

Question 16

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 17

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 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

The regression model y = $\beta$ 0 + $\beta$ 1 x1 + $\beta$ 2 x²1 + $\varepsilon$ is called a quadratic model.

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

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

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

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

The following scatter plot indicates that _________.

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

If a qualitative variable has c categories,then only (c - 1)dummy variables must be included in the regression model.

The regression model y = $\beta$ 0 + $\beta$ 1 x1 + $\beta$ 2 x2 + $\beta$ 3 x1x2 + $\varepsilon$ is a first order model.

If a qualitative variable has c categories,then c dummy variables must be included in the regression model,one for each category.

The following scatter plot indicates that _________.

Qualitative data can be incorporated into linear regression models using indicator variables.

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.

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

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 ___________.

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

The regression model y = β\betaβ 0 + β\betaβ 1 x1 + β\betaβ 2 x21 + ε\varepsilonε is called a quadratic 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 ____.

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

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

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

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

The following scatter plot indicates that _________.

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

If a qualitative variable has c categories,then only (c - 1)dummy variables must be included in the regression model.

The regression model y = β\betaβ 0 + β\betaβ 1 x1 + β\betaβ 2 x2 + β\betaβ 3 x1x2 + ε\varepsilonε is a first order model.

If a qualitative variable has c categories,then c dummy variables must be included in the regression model,one for each category.

The following scatter plot indicates that _________.

Qualitative data can be incorporated into linear regression models using indicator variables.

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.

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

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 ___________.

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

The regression model y = $\beta$ 0 + $\beta$ 1 x1 + $\beta$ 2 x²1 + $\varepsilon$ is called a quadratic model.

The regression model y = $\beta$ 0 + $\beta$ 1 x1 + $\beta$ 2 x2 + $\beta$ 3 x1x2 + $\varepsilon$ is a first order model.