Question 1

If the assumptions of regression have been met, errors plotted against the independent variable will typically show patterns.

Accepted Answer

A) True 
 B)False

Question 2

Which of the following represents the underlying linear model for hypothesis testing?

Accepted Answer

A)  Y = b0 + b1 X + ε 
B)  Y = b0 + b1 X 
C)  Y = β0 + β1 X + ε 
D)  Y = β0 + β1 X 
E)  None of the above 
A)  Y = b0 + b1 X + ε 
B)  Y = b0 + b1 X 
C)  Y = β0 + β1 X + ε 
D)  Y = β0 + β1 X 
E)  None of the above

Question 3

In regression, an independent variable is sometimes called a response variable.

Accepted Answer

A) True 
 B)False

Question 4

Which of the following is true regarding a regression model with multicollinearity, a high r2 value, and a low F-test significance level?

Accepted Answer

A)  The model is not a good prediction model. 
B)  The high value of r2 is due to the multicollinearity. 
C)  The interpretation of the coefficients is valuable. 
D)  The significance level tests for the coefficients are not valid. 
E)  The significance level for the F-test is not valid. 
A)  The model is not a good prediction model. 
B)  The high value of r2 is due to the multicollinearity. 
C)  The interpretation of the coefficients is valuable. 
D)  The significance level tests for the coefficients are not valid. 
E)  The significance level for the F-test is not valid.

Question 5

The sum of the squares total (SST)

Accepted Answer

A)  measures the total variability in Y about the mean. 
B)  measures the total variability in X about the mean. 
C)  measures the variability in Y about the regression line. 
D)  measures the variability in X about the regression line. 
E)  indicates how much of the total variability in Y is explained by the regression model. 
A)  measures the total variability in Y about the mean. 
B)  measures the total variability in X about the mean. 
C)  measures the variability in Y about the regression line. 
D)  measures the variability in X about the regression line. 
E)  indicates how much of the total variability in Y is explained by the regression model.

Question 6

A scatter diagram is a graphical depiction of the relationship between the dependent and independent variables.

Accepted Answer

A) True 
 B)False

Question 7

Explain what the correlation coefficient is.

Accepted Answer

It is a value between -1 and +

Question 8

Another name for the "Multiple R" that is given in Excel is ________.

Accepted Answer

correlation coeffici

Question 9

The error standard deviation is estimated by MSE.

Accepted Answer

A) True 
 B)False

Question 10

The random error in a regression equation

Accepted Answer

A)  is the predicted error. 
B)  includes both positive and negative terms. 
C)  will sum to a large positive number. 
D)  is used the estimate the accuracy of the slope. 
E)  is maximized in a least squares regression model. 
A)  is the predicted error. 
B)  includes both positive and negative terms. 
C)  will sum to a large positive number. 
D)  is used the estimate the accuracy of the slope. 
E)  is maximized in a least squares regression model.

Question 11

In regression, a binary variable is also called an indicator variable.

Accepted Answer

A) True 
 B)False

Question 12

If the significance level for the F-test is high enough, there is a relationship between the dependent and independent variables.

Accepted Answer

A) True 
 B)False

Question 13

The coefficient of determination takes on values between -1 and + 1.

Accepted Answer

A) True 
 B)False

Question 14

The coefficient of determination resulting from a particular regression analysis was 0.85. What was the slope of the regression line?

Accepted Answer

A)  0.85 
B)  -0.85 
C)  0.922 
D)  There is insufficient information to answer the question. 
E)  None of the above 
A)  0.85 
B)  -0.85 
C)  0.922 
D)  There is insufficient information to answer the question. 
E)  None of the above

Question 15

The SSR indicates how much of the total variability in the dependent variable is explained by the regression model.

Accepted Answer

A) True 
 B)False

Question 16

Both the p-value for the F-test and r2 can be interpreted the same with multiple regression models as they are with simple linear models.

Accepted Answer

A) True 
 B)False

Question 17

What can be said about an r2 value of 0.96?

Accepted Answer

This indicates that 96% of the

Question 18

In regression, the variable to be predicted is called the ________ variable.

Accepted Answer

dependent

Question 19

Which of the following is an assumption of the regression model?

Accepted Answer

A)  The errors are independent. 
B)  The errors are not normally distributed. 
C)  The errors have a standard deviation of zero. 
D)  The errors have an irregular variance. 
E)  The errors follow a cone pattern. 
A)  The errors are independent. 
B)  The errors are not normally distributed. 
C)  The errors have a standard deviation of zero. 
D)  The errors have an irregular variance. 
E)  The errors follow a cone pattern.

Question 20

The regression line minimizes the sum of the squared errors.

Accepted Answer

A) True 
 B)False

If the assumptions of regression have been met, errors plotted against the independent variable will typically show patterns.

Which of the following represents the underlying linear model for hypothesis testing?

In regression, an independent variable is sometimes called a response variable.

Which of the following is true regarding a regression model with multicollinearity, a high r²value, and a low F-test significance level?

The sum of the squares total (SST)

A scatter diagram is a graphical depiction of the relationship between the dependent and independent variables.

Explain what the correlation coefficient is.

Another name for the "Multiple R" that is given in Excel is ________.

The error standard deviation is estimated by MSE.

The random error in a regression equation

In regression, a binary variable is also called an indicator variable.

If the significance level for the F-test is high enough, there is a relationship between the dependent and independent variables.

The coefficient of determination takes on values between -1 and + 1.

The coefficient of determination resulting from a particular regression analysis was 0.85. What was the slope of the regression line?

The SSR indicates how much of the total variability in the dependent variable is explained by the regression model.

Both the p-value for the F-test and r² can be interpreted the same with multiple regression models as they are with simple linear models.

What can be said about an r² value of 0.96?

In regression, the variable to be predicted is called the ________ variable.

Which of the following is an assumption of the regression model?

The regression line minimizes the sum of the squared errors.

Introduction to Quantitative Analysis

Probability Concepts and Applications

Decision Analysis

Forecasting

Inventory Control Models

Linear Programming Models: Graphical and Computer Methods

Linear Programming Applications

Transportation and Assignment Models

Integer Programming, Goal Programming, and Nonlinear Programming

Network Models

Project Management

Waiting Lines and Queuing Theory Models

Simulation Modeling

Markov Analysis

Statistical Quality Control

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Exam 4: Regression Models

If the assumptions of regression have been met, errors plotted against the independent variable will typically show patterns.

Which of the following represents the underlying linear model for hypothesis testing?

In regression, an independent variable is sometimes called a response variable.

Which of the following is true regarding a regression model with multicollinearity, a high r2 value, and a low F-test significance level?

The sum of the squares total (SST)

A scatter diagram is a graphical depiction of the relationship between the dependent and independent variables.

Explain what the correlation coefficient is.

Another name for the "Multiple R" that is given in Excel is ________.

The error standard deviation is estimated by MSE.

The random error in a regression equation

In regression, a binary variable is also called an indicator variable.

If the significance level for the F-test is high enough, there is a relationship between the dependent and independent variables.

The coefficient of determination takes on values between -1 and + 1.

The coefficient of determination resulting from a particular regression analysis was 0.85. What was the slope of the regression line?

The SSR indicates how much of the total variability in the dependent variable is explained by the regression model.

Both the p-value for the F-test and r2 can be interpreted the same with multiple regression models as they are with simple linear models.

What can be said about an r2 value of 0.96?

In regression, the variable to be predicted is called the ________ variable.

Which of the following is an assumption of the regression model?

The regression line minimizes the sum of the squared errors.

Introduction to Quantitative Analysis

Probability Concepts and Applications

Decision Analysis

Forecasting

Inventory Control Models

Linear Programming Models: Graphical and Computer Methods

Linear Programming Applications

Transportation and Assignment Models

Integer Programming, Goal Programming, and Nonlinear Programming

Network Models

Project Management

Waiting Lines and Queuing Theory Models

Simulation Modeling

Markov Analysis

Statistical Quality Control

Filters

Which of the following is true regarding a regression model with multicollinearity, a high r²value, and a low F-test significance level?

Both the p-value for the F-test and r² can be interpreted the same with multiple regression models as they are with simple linear models.

What can be said about an r² value of 0.96?