Question 1

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

Accepted Answer

A) y = 616.6849 + 3.33833 x1 + 1.780075 x2 
B) y = 154.5535 - 1.43058 x1 + 5.30407 x2 
C) y = 616.6849 - 3.33833 x1 - 1.780075 x2 
D) y = 154.5535 + 2.333548 x1 + 0.335605 x2 
E) y = 616.6849 - 3.33833 x1 + 1.780075 x2 
A) y = 616.6849 + 3.33833 x1 + 1.780075 x2 
B) y = 154.5535 - 1.43058 x1 + 5.30407 x2 
C) y = 616.6849 - 3.33833 x1 - 1.780075 x2 
D) y = 154.5535 + 2.333548 x1 + 0.335605 x2 
E) y = 616.6849 - 3.33833 x1 + 1.780075 x2

Question 2

In a multiple regression model,the partial regression coefficient of an independent variable represents the increase in the y variable when that independent variable is increased by one unit if the values of all other independent variables are held constant.

Accepted Answer

A) True 
 B)False

Question 3

A multiple regression analysis produced the following output from Excel.   The overall proportion of variation of y accounted by x1 and x2 is _______

Accepted Answer

A) 0.9787 
B) 0.9579 
C) 0.9523 
D) 67.671 
E) 0.0489 
A) 0.9787 
B) 0.9579 
C) 0.9523 
D) 67.671 
E) 0.0489

Question 4

A market analyst is developing a regression model to predict monthly household expenditures on groceries as a function of family size,household income,and household neighborhood (urban,suburban,and rural).The "income" variable in this model is ____.

Accepted Answer

A) an indicator variable 
B) a response variable 
C) a qualitative variable 
D) a dependent variable 
E) an independent variable 
A) an indicator variable 
B) a response variable 
C) a qualitative variable 
D) a dependent variable 
E) an independent variable

Question 5

Minitab and Excel output for a multiple regression model show the F test for the overall model,but do not provide the t tests for the regression coefficients.

Accepted Answer

A) True 
 B)False

Question 6

The following ANOVA table is from a multiple regression analysis.   The R2 value is __________.

Accepted Answer

A) 0.65 
B) 0.53 
C) 0.35 
D) 0.43 
E) 1.37 
A) 0.65 
B) 0.53 
C) 0.35 
D) 0.43 
E) 1.37

Question 7

A market analyst is developing a regression model to predict monthly household expenditures on groceries as a function of family size,household income,and household neighborhood (urban,suburban,and rural).The response variable in this model is _____.

Accepted Answer

A) family size 
B) expenditures on groceries 
C) household income 
D) suburban 
E) household neighborhood 
A) family size 
B) expenditures on groceries 
C) household income 
D) suburban 
E) household neighborhood

Question 8

Multiple t-tests are used to determine whether the independent variables in the regression model are significant.

Accepted Answer

A) True 
 B)False

Question 9

The F value that is used to test for the overall significance of a multiple regression model is calculated by dividing the mean square regression (MSreg)by the mean square error (MSerr).

Accepted Answer

A) True 
 B)False

Question 10

A human resources analyst is developing a regression model to predict electricity production plant manager compensation as a function of production capacity of the plant,number of employees at the plant,and plant technology (coal,oil,and nuclear).The "number of employees at the plant" variable in this model is ______.

Accepted Answer

A) a qualitative variable 
B) a dependent variable 
C) a response variable 
D) an indicator variable 
E) an independent variable 
A) a qualitative variable 
B) a dependent variable 
C) a response variable 
D) an indicator variable 
E) an independent variable

Question 11

The standard error of the estimate of a multiple regression model is computed by taking the square root of the mean squares of error.

Accepted Answer

A) True 
 B)False

Question 12

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) 8.68 
B) 6.36 
C) 8.40 
D) 6.11 
E) 3.36 
A) 8.68 
B) 6.36 
C) 8.40 
D) 6.11 
E) 3.36

Question 13

The following ANOVA table is from a multiple regression analysis with n = 35 and four independent variables.   The MSE value is __________.

Accepted Answer

A) 8.57 
B) 8.82 
C) 10.00 
D) 75.00 
E) 20.00 
A) 8.57 
B) 8.82 
C) 10.00 
D) 75.00 
E) 20.00

Question 14

A multiple regression analysis produced the following tables.     The coefficient of multiple determination is ____________.

Accepted Answer

A) 0.0592 
B) 0.9138 
C) 0.1149 
D) 0.9559 
E) 1.0000 
A) 0.0592 
B) 0.9138 
C) 0.1149 
D) 0.9559 
E) 1.0000

Question 15

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) 5.99 
B) 5.70 
C) 1.96 
D) 4.84 
E) 6.70 
A) 5.99 
B) 5.70 
C) 1.96 
D) 4.84 
E) 6.70

Question 16

A multiple regression analysis produced the following output from Excel.   The correlation coefficient is ____________.

Accepted Answer

A) 0.9787 
B) 0.9579 
C) 0.9523 
D) 67.671 
E) 0.0489 
A) 0.9787 
B) 0.9579 
C) 0.9523 
D) 67.671 
E) 0.0489

Question 17

The following ANOVA table is from a multiple regression analysis.   The number of independent variables in the analysis is __________.

Accepted Answer

A) 30 
B) 26 
C) 1 
D) 3 
E) 2 
A) 30 
B) 26 
C) 1 
D) 3 
E) 2

Question 18

A multiple regression analysis produced the following output from Excel.   The coefficient of multiple determination is ____________.

Accepted Answer

A) 0.9787 
B) 0.9579 
C) 0.9523 
D) 67.671 
E) 0.0489 
A) 0.9787 
B) 0.9579 
C) 0.9523 
D) 67.671 
E) 0.0489

Question 19

The following ANOVA table is from a multiple regression analysis.   The observed F value is __________.

Accepted Answer

A) 16.25 
B) 30.77 
C) 500 
D) 0.049 
E) 0.039 
A) 16.25 
B) 30.77 
C) 500 
D) 0.049 
E) 0.039

Question 20

In a multiple regression model,the proportion of the variation of the dependent variable,y,accounted for the independent variables in the regression model is given by the coefficient of multiple correlation.

Accepted Answer

A) True 
 B)False

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

In a multiple regression model,the partial regression coefficient of an independent variable represents the increase in the y variable when that independent variable is increased by one unit if the values of all other independent variables are held constant.

A multiple regression analysis produced the following output from Excel. The overall proportion of variation of y accounted by x₁ and x₂ is _______

A market analyst is developing a regression model to predict monthly household expenditures on groceries as a function of family size,household income,and household neighborhood (urban,suburban,and rural).The "income" variable in this model is ____.

Minitab and Excel output for a multiple regression model show the F test for the overall model,but do not provide the t tests for the regression coefficients.

The following ANOVA table is from a multiple regression analysis. The R2 value is __________.

A market analyst is developing a regression model to predict monthly household expenditures on groceries as a function of family size,household income,and household neighborhood (urban,suburban,and rural).The response variable in this model is _____.

Multiple t-tests are used to determine whether the independent variables in the regression model are significant.

The F value that is used to test for the overall significance of a multiple regression model is calculated by dividing the mean square regression (MS_reg)by the mean square error (MS_err).

The standard error of the estimate of a multiple regression model is computed by taking the square root of the mean squares of error.

The following ANOVA table is from a multiple regression analysis with n = 35 and four independent variables. The MSE value is __________.

A multiple regression analysis produced the following tables. The coefficient of multiple determination is ____________.

A multiple regression analysis produced the following output from Excel. The correlation coefficient is ____________.

The following ANOVA table is from a multiple regression analysis. The number of independent variables in the analysis is __________.

A multiple regression analysis produced the following output from Excel. The coefficient of multiple determination is ____________.

The following ANOVA table is from a multiple regression analysis. The observed F value is __________.

In a multiple regression model,the proportion of the variation of the dependent variable,y,accounted for the independent variables in the regression model is given by the coefficient of multiple correlation.

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

Building Multiple Regression Models

Time-Series Forecasting and Index Numbers

Analysis of Categorical Data

Nonparametric Statistics

Statistical Quality Control

Decision Analysis

Filters

Exam 13: Multiple Regression Analysis

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

In a multiple regression model,the partial regression coefficient of an independent variable represents the increase in the y variable when that independent variable is increased by one unit if the values of all other independent variables are held constant.

A multiple regression analysis produced the following output from Excel. The overall proportion of variation of y accounted by x1 and x2 is _______

A market analyst is developing a regression model to predict monthly household expenditures on groceries as a function of family size,household income,and household neighborhood (urban,suburban,and rural).The "income" variable in this model is ____.

Minitab and Excel output for a multiple regression model show the F test for the overall model,but do not provide the t tests for the regression coefficients.

The following ANOVA table is from a multiple regression analysis. The R2 value is __________.

A market analyst is developing a regression model to predict monthly household expenditures on groceries as a function of family size,household income,and household neighborhood (urban,suburban,and rural).The response variable in this model is _____.

Multiple t-tests are used to determine whether the independent variables in the regression model are significant.

The F value that is used to test for the overall significance of a multiple regression model is calculated by dividing the mean square regression (MSreg)by the mean square error (MSerr).

The standard error of the estimate of a multiple regression model is computed by taking the square root of the mean squares of error.

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 ____.

The following ANOVA table is from a multiple regression analysis with n = 35 and four independent variables. The MSE value is __________.

A multiple regression analysis produced the following tables. The coefficient of multiple determination 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 ____.

A multiple regression analysis produced the following output from Excel. The correlation coefficient is ____________.

The following ANOVA table is from a multiple regression analysis. The number of independent variables in the analysis is __________.

A multiple regression analysis produced the following output from Excel. The coefficient of multiple determination is ____________.

The following ANOVA table is from a multiple regression analysis. The observed F value is __________.

In a multiple regression model,the proportion of the variation of the dependent variable,y,accounted for the independent variables in the regression model is given by the coefficient of multiple correlation.

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

Building Multiple Regression Models

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 output from Excel. The overall proportion of variation of y accounted by x₁ and x₂ is _______

The F value that is used to test for the overall significance of a multiple regression model is calculated by dividing the mean square regression (MS_reg)by the mean square error (MS_err).