Question 1

In regression terms what does "best fit" mean?

Accepted Answer

A) The estimated parameters,b0 and b1,are minimized. 
B) The estimated parameters,b0 and b1,are linear. 
C) The error terms are as small as possible. 
D) The largest error term is as small as possible. 
A) The estimated parameters,b0 and b1,are minimized. 
B) The estimated parameters,b0 and b1,are linear. 
C) The error terms are as small as possible. 
D) The largest error term is as small as possible.

Question 2

R2 is also referred to as

Accepted Answer

A) coefficient of determination. 
B) correlation coefficient. 
C) total sum of squares. 
D) regression sum of squares. 
A) coefficient of determination. 
B) correlation coefficient. 
C) total sum of squares. 
D) regression sum of squares.

Question 3

How many independent variables are there in simple regression analysis?

Accepted Answer

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

Question 4

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 5

Exhibit 9.3
The following questions are based on the problem description and spreadsheet below.
A researcher is interested in determining how many calories young men consume.She measured the age of the individuals and recorded how much food they ate each day for a month.The average daily consumption was recorded as the dependent variable.She has developed the following Excel spreadsheet of the results.
  
-Refer to Exhibit 9.3.Interpret the meaning of the "Lower 95%" and "Upper 95%" terms in cells F16:G16 of the spreadsheet.

Accepted Answer

We are 95%

Question 6

Exhibit 9.4
The following questions are based on the problem description and spreadsheet below.
A charitable organization wants to determine what type of people donate to charities like itself.The charity felt that a person's education in years),annual income,$1,000)and the number of children the person had were important variables to consider.The charity developed regression models for all of the possible combinations of these three variables but does not know what to do with the results.
  
-Refer to Exhibit 9.4.Predict the mean donation by a person with 16 years of education,$90,000 annual income and 2 children.Use a full model based on data from the table.

Accepted Answer

None

Question 7

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 8

Exhibit 9.7
The partial regression output below applies to the following questions.
  
-Refer to Exhibit 9.7.What is the SS for Total?

Accepted Answer

The answer of Exhibit 9.7
The partial regression output below applies...

Question 9

Exhibit 9.1
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.Predict the mean number of labor hours for a batch of 5 parts.

Accepted Answer

The answer of Exhibit 9.1
The following questions are based on...

Question 10

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 11

The standard error measures the

Accepted Answer

A) variability in the X values. 
B) variability in the actual data around the fitted regression function. 
C) variability in the independent variable around the fitted regression function. 
D) variability in the dependent variable around the fitted regression function. 
A) variability in the X values. 
B) variability in the actual data around the fitted regression function. 
C) variability in the independent variable around the fitted regression function. 
D) variability in the dependent variable around the fitted regression function.

Question 12

R2 measures

Accepted Answer

A) the percentage of variability in the dependent variable,Y,explained by the model 
B) the unexplained variability 
C) the ratio of RSS/ESS 
D) the model sophistication 
A) the percentage of variability in the dependent variable,Y,explained by the model 
B) the unexplained variability 
C) the ratio of RSS/ESS 
D) the model sophistication

Question 13

What does regression analysis attempt to establish?

Accepted Answer

A) a mathematical relationship between a dependent variable,for which future values will be forecast,and one or more independent variables with known values 
B) linearity in the relationship between independent variables 
C) linearity in the relationship between a dependent variable and a set of independent variables 
D) multicollinearity 
A) a mathematical relationship between a dependent variable,for which future values will be forecast,and one or more independent variables with known values 
B) linearity in the relationship between independent variables 
C) linearity in the relationship between a dependent variable and a set of independent variables 
D) multicollinearity

Question 14

Based on the following regression output,what conclusion can you reach about β1?

Accepted Answer

A) β1 = 0,with P-value = 0.016353 
B) β1 ≠ 0,with P-value =0.016353 
C) β1 = 0,with P-value = 0.000186 
D) β1 ≠ 0,with P-value =0.000186 
A) β1 = 0,with P-value = 0.016353 
B) β1 ≠ 0,with P-value =0.016353 
C) β1 = 0,with P-value = 0.000186 
D) β1 ≠ 0,with P-value =0.000186

Question 15

The company would like to build a prediction interval on the pressure for a can with a temperature of 125 degrees.What formula should be entered in cells B17:F21 of the following spreadsheet to compute this prediction interval? Partial results of the Regression analysis of the data are provided below.

Accepted Answer

Cell Formula D17 =38.19232+1.2

Question 16

Exhibit 9.4
The following questions are based on the problem description and spreadsheet below.
A charitable organization wants to determine what type of people donate to charities like itself.The charity felt that a person's education in years),annual income,$1,000)and the number of children the person had were important variables to consider.The charity developed regression models for all of the possible combinations of these three variables but does not know what to do with the results.
  
-Refer to Exhibit 9.4.Based on the data in the table which is the best model for the charity to use? Explain which
values you used to reach your conclusion.

Accepted Answer

Education and Kids h

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.

Question 18

A pattern resulting from random variation or unexplained causes is called

Accepted Answer

A) noise 
B) trend 
C) seasonality 
D) time series 
A) noise 
B) trend 
C) seasonality 
D) time series

Question 19

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 20

On average,the differences between the actual and predicted values of Y

Accepted Answer

A) are equal to b0. 
B) sum to an unknown value. 
C) are distributed uniformly. 
D) sum to zero. 
A) are equal to b0. 
B) sum to an unknown value. 
C) are distributed uniformly. 
D) sum to zero.

In regression terms what does "best fit" mean?

R²is also referred to as

How many independent variables are there in simple regression analysis?

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

The problem of finding the optimal values of b₀and b₁is

Exhibit 9.7 The partial regression output below applies to the following questions. -Refer to Exhibit 9.7.What is the SS for Total?

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

The standard error measures the

R²measures

What does regression analysis attempt to establish?

Based on the following regression output,what conclusion can you reach about β₁?

Polynomial regression is used when

A pattern resulting from random variation or unexplained causes is called

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

On average,the differences between the actual and predicted values of Y

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

Data Mining

Time Series Forecasting

Introduction to Simulation Using Analytic Solver Platform

Queuing Theory

Decision Analysis

Project Management Online

Filters

Exam 9: Regression Analysis

In regression terms what does "best fit" mean?

R2 is also referred to as

How many independent variables are there in simple regression analysis?

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

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

Exhibit 9.7 The partial regression output below applies to the following questions. -Refer to Exhibit 9.7.What is the SS for Total?

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

The standard error measures the

R2 measures

What does regression analysis attempt to establish?

Based on the following regression output,what conclusion can you reach about β1?

Polynomial regression is used when

A pattern resulting from random variation or unexplained causes is called

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

On average,the differences between the actual and predicted values of Y

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

Data Mining

Time Series Forecasting

Introduction to Simulation Using Analytic Solver Platform

Queuing Theory

Decision Analysis

Project Management Online

Filters

R²is also referred to as

The problem of finding the optimal values of b₀and b₁is

R²measures

Based on the following regression output,what conclusion can you reach about β₁?