Question 1

What goodness-of-fit measure is commonly used to evaluate a multiple regression function?

Accepted Answer

A) R2 
B) adjusted R2 
C) partial R2 
D) total R2 
A) R2 
B) adjusted R2 
C) partial R2 
D) total R2

Question 2

What is the correct range for R2 values?

Accepted Answer

A) ($\le$1$\le$R2 $\le$ 0) 
B) ($\le$1 $\le$R2 $\le$ 1) 
C) (0 $\le$ R2 $\le$ 1) 
D) (0 $\le$ R2 $\le$ .5) 
A) ($\le$1$\le$R2 $\le$ 0) 
B) ($\le$1 $\le$R2 $\le$ 1) 
C) (0 $\le$ R2 $\le$ 1) 
D) (0 $\le$ R2 $\le$ .5)

Question 3

The estimated value of Y1 is given by

Accepted Answer

A)   
B)   
C)   
D)   
A)   
B)   
C)   
D)

Question 4

The term $\varepsilon$ in the regression model represents

Accepted Answer

A) the slope of the regression model. 
B) a random error term. 
C) a correction for mistakes in measuring X. 
D) a correction for the fact that we are taking a sample. 
A) the slope of the regression model. 
B) a random error term. 
C) a correction for mistakes in measuring X. 
D) a correction for the fact that we are taking a sample.

Question 5

A variable which takes on m discrete values would be modeled using

Accepted Answer

A) (m - 1) binary variables. 
B) m binary variables. 
C) (m - 1) integer variables. 
D) m non-linear variables. 
A) (m - 1) binary variables. 
B) m binary variables. 
C) (m - 1) integer variables. 
D) m non-linear variables.

Question 6

R2 is calculated as

Accepted Answer

A) ESS/TSS 
B) 1 - (RSS/TSS) 
C) RSS/ESS 
D) RSS/TSS 
A) ESS/TSS 
B) 1 - (RSS/TSS) 
C) RSS/ESS 
D) RSS/TSS

Question 7

Based on the following regression output, what is the equation of the regression line?

Accepted Answer

A)   i = 1.131661 + 31.62378 X1i 
B)   i = 31.62378 + 1.131661 X1i 
C)  i = 3.028236 + 6.511819 X1i 
A)   i = 1.131661 + 31.62378 X1i 
B)   i = 31.62378 + 1.131661 X1i 
C)  i = 3.028236 + 6.511819 X1i

Question 8

The partial regression output below applies to the following questions.
  
-Refer to Exhibit 9.6. What is the MS for Residual?

Accepted Answer

The answer of  
The partial regression output below applies...

Question 9

The R2 statistic

Accepted Answer

A) varies between -1 and 1. 
B) compares the regression sum of squares to the total sum of squares. 
C) accounts for the number of parameters in the regression model. 
D) is the ratio of the error sum of squares to the regression sum of squares. 
A) varies between -1 and 1. 
B) compares the regression sum of squares to the total sum of squares. 
C) accounts for the number of parameters in the regression model. 
D) is the ratio of the error sum of squares to the regression sum of squares.

Question 10

The problem of finding the optimal values of b0 and b1 is

Accepted Answer

A) a linear programming problem. 
B) an unconstrained nonlinear optimization problem. 
C) a goal programming problem. 
D) a constrained nonlinear optimization problem. 
A) a linear programming problem. 
B) an unconstrained nonlinear optimization problem. 
C) a goal programming problem. 
D) a constrained nonlinear optimization problem.

Question 11

The terms $\beta$0 and $\beta$1 are referred to as

Accepted Answer

A) sample statistics 
B) random variables 
C) population variables 
D) population parameters 
A) sample statistics 
B) random variables 
C) population variables 
D) population parameters

Question 12

The following questions are based on the problem description and spreadsheet below.
A company has built a regression model to predict the number of labor hours (YS1U1B1iS1U1B0) required to process a batch of parts (XS1U1B1iS1U1B0). It has developed the following Excel spreadsheet of the results.
  
-Refer to Exhibit 9.1. Interpret the meaning of R Square in cell B3 of the spreadsheet.

Accepted Answer

The R Square value of 0.9941 m

Question 13

When using the Regression tool in Excel the dependent variable is entered as the

Accepted Answer

A) X-range. 
B) Y-range. 
C) dependent-range. 
D) independent-range. 
A) X-range. 
B) Y-range. 
C) dependent-range. 
D) independent-range.

Question 14

The terms b0 and b1 are

Accepted Answer

A) estimated population parameters. 
B) estimated intercept and slope values, respectively. 
C) random variables. 
D) all of these. 
A) estimated population parameters. 
B) estimated intercept and slope values, respectively. 
C) random variables. 
D) all of these.

Question 15

The following questions are based on the problem description and spreadsheet below.
A paint manufacturer is interested in knowing how much pressure (in pounds per square inch, PSI) builds up inside aerosol cans at various temperatures (degrees Fahrenheit). It has developed the following Excel spreadsheet of the results.
  
-Refer to Exhibit 9.2. What is the estimated regression function for this problem? Explain what the terms in your equation mean.

Accepted Answer

@#IMG-DLM& _i = 38.1923 + 1.2447 X_1i. The av

Question 16

What is a clear indicator of non-constant variance in a plot of regression model residuals?

Accepted Answer

A) A non-linear trend in the residual plot. 
B) An intercept standard error larger that the estimated intercept coefficient. 
C) A funnel shaped trend in the residual plot. 
D) The standard errors from each independent variable differ. 
A) A non-linear trend in the residual plot. 
B) An intercept standard error larger that the estimated intercept coefficient. 
C) A funnel shaped trend in the residual plot. 
D) The standard errors from each independent variable differ.

Question 17

Polynomial regression is used when

Accepted Answer

A) the independent variables are non-linear. 
B) there is a non-linear relationship between the dependent and independent variables. 
C) there is a non-linear relationship between the independent variables. 
D) there is a curvilinear change in the dependent variables. 
A) the independent variables are non-linear. 
B) there is a non-linear relationship between the dependent and independent variables. 
C) there is a non-linear relationship between the independent variables. 
D) there is a curvilinear change in the dependent variables.

What goodness-of-fit measure is commonly used to evaluate a multiple regression function?

What is the correct range for R²values?

The estimated value of Y₁ is given by

The term $\varepsilon$ in the regression model represents

A variable which takes on m discrete values would be modeled using

R² is calculated as

Based on the following regression output, what is the equation of the regression line?

The partial regression output below applies to the following questions. -Refer to Exhibit 9.6. What is the MS for Residual?

The R² statistic

The problem of finding the optimal values of b₀ and b₁ is

The terms $\beta$ ₀ and $\beta$ ₁ are referred to as

When using the Regression tool in Excel the dependent variable is entered as the

The terms b₀ and b₁ are

What is a clear indicator of non-constant variance in a plot of regression model residuals?

Polynomial regression is used when

Introduction to Modeling and Decision Analysis

Introduction to Optimization and Linear Programming

Modeling and Solving Lp Problems in a Spreadsheet

Sensitivity Analysis and the Simplex Method

Network Modeling

Integer Linear Programming

Goal Programming and Multiple Objective Optimization

Nonlinear Programming and Evolutionary Optimization

Discriminant Analysis

Time Series Forecasting

Introduction to Simulation Using Risk Solver Platform

Queuing Theory

Decision Analysis

Project Management Online

Filters

Exam 9: Regression Analysis

What goodness-of-fit measure is commonly used to evaluate a multiple regression function?

What is the correct range for R2 values?

The estimated value of Y1 is given by

The term ε\varepsilonε in the regression model represents

A variable which takes on m discrete values would be modeled using

R2 is calculated as

Based on the following regression output, what is the equation of the regression line?

The partial regression output below applies to the following questions. -Refer to Exhibit 9.6. What is the MS for Residual?

The R2 statistic

The problem of finding the optimal values of b0 and b1 is

The terms β\betaβ 0 and β\betaβ 1 are referred to as

When using the Regression tool in Excel the dependent variable is entered as the

The terms b0 and b1 are

What is a clear indicator of non-constant variance in a plot of regression model residuals?

Polynomial regression is used when

Introduction to Modeling and Decision Analysis

Introduction to Optimization and Linear Programming

Modeling and Solving Lp Problems in a Spreadsheet

Sensitivity Analysis and the Simplex Method

Network Modeling

Integer Linear Programming

Goal Programming and Multiple Objective Optimization

Nonlinear Programming and Evolutionary Optimization

Discriminant Analysis

Time Series Forecasting

Introduction to Simulation Using Risk Solver Platform

Queuing Theory

Decision Analysis

Project Management Online

Filters

What is the correct range for R²values?

The estimated value of Y₁ is given by

The term $\varepsilon$ in the regression model represents

R² is calculated as

The R² statistic

The problem of finding the optimal values of b₀ and b₁ is

The terms $\beta$ ₀ and $\beta$ ₁ are referred to as

The terms b₀ and b₁ are