Question 1

The following ANOVA table is from a multiple regression analysis with n = 35 and four independent variables:   The R2 value is ___.

Accepted Answer

A) 0.80 
B) 0.70 
C) 0.66 
D) 0.76 
E) 0.30 
A) 0.80 
B) 0.70 
C) 0.66 
D) 0.76 
E) 0.30

Question 2

Regression analysis with one dependent variable and two or more independent variables is called multiple regression.

Accepted Answer

A) True 
 B)False

Question 3

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 neighbourhood (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 4

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 5

Examine significance tests of both the overall regression model and the regression coefficients.

Accepted Answer

An F test for the overall model is compu

Question 6

The following ANOVA table is from a multiple regression analysis with n = 35 and four independent variables:   The number of degrees of freedom for regression is ___.

Accepted Answer

A) 1 
B) 4 
C) 34 
D) 30 
E) 35 
A) 1 
B) 4 
C) 34 
D) 30 
E) 35

Question 7

A cost accountant is developing a regression model to predict the total cost of producing a batch of printed circuit boards as a linear function of batch size (the number of boards produced in one lot or batch),production plant (Kingsland and Yorktown),and production shift (day and evening).In this model,"shift" is ___.

Accepted Answer

A) a response variable 
B) an independent variable 
C) a quantitative variable 
D) a dependent variable 
E) a constant 
A) a response variable 
B) an independent variable 
C) a quantitative variable 
D) a dependent variable 
E) a constant

Question 8

The mean square error (MSerr)is calculated by dividing the sum of squares error (SSerr)by the number of observations in the data set (N).

Accepted Answer

A) True 
 B)False

Question 9

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

Accepted Answer

A) 0.80 
B) 0.70 
C) 0.66 
D) 0.76 
E) 1.00 
A) 0.80 
B) 0.70 
C) 0.66 
D) 0.76 
E) 1.00

Question 10

A multiple regression analysis produced the following tables:     These results indicate that ___.

Accepted Answer

A) none of the predictor variables are significant at the 5% level 
B) each predictor variable is significant at the 5% level 
C) x1 is the only predictor variable significant at the 5% level 
D) x2 is the only predictor variable significant at the 5% level 
E) the intercept is not significant at the 5% level 
A) none of the predictor variables are significant at the 5% level 
B) each predictor variable is significant at the 5% level 
C) x1 is the only predictor variable significant at the 5% level 
D) x2 is the only predictor variable significant at the 5% level 
E) the intercept is not significant at the 5% level

Question 11

In the model y = $\beta$ 0 + $\beta$ 1x1 + $\beta$ 2x2 + $\beta$ 3x3 + $\varepsilon$,y is the independent variable.

Accepted Answer

A) True 
 B)False

Question 12

A real estate appraiser is developing a regression model to predict the market value of single family residential houses as a function of heated area,number of bedrooms,number of bathrooms,age of the house,and central heating (yes,no).The "central heating" variable in this model is ___.

Accepted Answer

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

Question 13

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

Accepted Answer

A) 12 
B) 15 
C) 14 
D) 28 
E) 24 
A) 12 
B) 15 
C) 14 
D) 28 
E) 24

Question 14

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 15

In regression analysis,outliers may be identified by examining the ___.

Accepted Answer

A) coefficient of determination 
B) coefficient of correlation 
C) p values for the partial coefficients 
D) residuals 
E) R-squared value 
A) coefficient of determination 
B) coefficient of correlation 
C) p values for the partial coefficients 
D) residuals 
E) R-squared value

Question 16

The F value that is used to test for the overall significance 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 17

The following ANOVA table is from a multiple regression analysis with n = 35 and four independent variables:   The number of degrees of freedom for error is ___.

Accepted Answer

A) 1 
B) 4 
C) 34 
D) 30 
E) 35 
A) 1 
B) 4 
C) 34 
D) 30 
E) 35

Question 18

The following ANOVA table is from a multiple regression analysis:   The adjusted R2 value is ___.

Accepted Answer

A) 0.80 
B) 0.70 
C) 0.66 
D) 0.86 
E) 0.76 
A) 0.80 
B) 0.70 
C) 0.66 
D) 0.86 
E) 0.76

Question 19

Calculate the residual,standard error of the estimate,coefficient of multiple determination,and adjusted coefficient of multiple determination of a regression model.

Accepted Answer

Residuals,standard error of the estimate

Question 20

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

Accepted Answer

A) 17 
B) 13 
C) 16 
D) 11 
E) 15 
A) 17 
B) 13 
C) 16 
D) 11 
E) 15

The following ANOVA table is from a multiple regression analysis with n = 35 and four independent variables: The R² value is ___.

Regression analysis with one dependent variable and two or more independent variables is called multiple regression.

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 neighbourhood (urban,suburban,and rural).The "income" variable in this model is ___.

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

Examine significance tests of both the overall regression model and the regression coefficients.

The following ANOVA table is from a multiple regression analysis with n = 35 and four independent variables: The number of degrees of freedom for regression is ___.

The mean square error (MS_err)is calculated by dividing the sum of squares error (SS_err)by the number of observations in the data set (N).

The following ANOVA table is from a multiple regression analysis: The R²value is ___.

A multiple regression analysis produced the following tables: These results indicate that ___.

In the model y = $\beta$ ₀ + $\beta$ ₁x₁ + $\beta$ ₂x₂ + $\beta$ ₃x₃ + $\varepsilon$ ,y is the independent variable.

A real estate appraiser is developing a regression model to predict the market value of single family residential houses as a function of heated area,number of bedrooms,number of bathrooms,age of the house,and central heating (yes,no).The "central heating" variable in this model is ___.

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

In regression analysis,outliers may be identified by examining the ___.

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

The following ANOVA table is from a multiple regression analysis with n = 35 and four independent variables: The number of degrees of freedom for error is ___.

The following ANOVA table is from a multiple regression analysis: The adjusted R²value is ___.

Calculate the residual,standard error of the estimate,coefficient of multiple determination,and adjusted coefficient of multiple determination of a regression model.

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

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

The following ANOVA table is from a multiple regression analysis with n = 35 and four independent variables: The R2 value is ___.

Regression analysis with one dependent variable and two or more independent variables is called multiple regression.

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 neighbourhood (urban,suburban,and rural).The "income" variable in this model is ___.

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

Examine significance tests of both the overall regression model and the regression coefficients.

The following ANOVA table is from a multiple regression analysis with n = 35 and four independent variables: The number of degrees of freedom for regression is ___.

The mean square error (MSerr)is calculated by dividing the sum of squares error (SSerr)by the number of observations in the data set (N).

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

A multiple regression analysis produced the following tables: These results indicate that ___.

In the model y = β\betaβ 0 + β\betaβ 1x1 + β\betaβ 2x2 + β\betaβ 3x3 + ε\varepsilonε ,y is the independent variable.

A real estate appraiser is developing a regression model to predict the market value of single family residential houses as a function of heated area,number of bedrooms,number of bathrooms,age of the house,and central heating (yes,no).The "central heating" variable in this model is ___.

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 ___.

In regression analysis,outliers may be identified by examining the ___.

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

The following ANOVA table is from a multiple regression analysis with n = 35 and four independent variables: The number of degrees of freedom for error is ___.

The following ANOVA table is from a multiple regression analysis: The adjusted R2 value is ___.

Calculate the residual,standard error of the estimate,coefficient of multiple determination,and adjusted coefficient of multiple determination of a regression model.

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

Building Multiple Regression Models

Time-Series Forecasting and Index Numbers

Analysis of Categorical Data

Nonparametric Statistics

Statistical Quality Control

Decision Analysis

Filters

The following ANOVA table is from a multiple regression analysis with n = 35 and four independent variables: The R² value is ___.

The mean square error (MS_err)is calculated by dividing the sum of squares error (SS_err)by the number of observations in the data set (N).

The following ANOVA table is from a multiple regression analysis: The R²value is ___.

In the model y = $\beta$ ₀ + $\beta$ ₁x₁ + $\beta$ ₂x₂ + $\beta$ ₃x₃ + $\varepsilon$ ,y is the independent variable.

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

The following ANOVA table is from a multiple regression analysis: The adjusted R²value is ___.