Question 1

The standard error of the estimate is also called the variance of the regression.

Accepted Answer

A) True 
 B)False

Question 2

If multicollinearity exists, then individual interpretation of the variables is questionable, but the overall model is still good for prediction purposes.

Accepted Answer

A) True 
 B)False

Question 3

The best model is a statistically significant model with a high r-square and few variables.

Accepted Answer

A) True 
 B)False

Question 4

The regression model assumes the errors are normally distributed.

Accepted Answer

A) True 
 B)False

Question 5

The regression model assumes the error terms are dependent.

Accepted Answer

A) True 
 B)False

Question 6

The variable to be predicted is the dependent variable.

Accepted Answer

A) True 
 B)False

Question 7

The adjusted r2 will always increase as additional variables are added to the model.

Accepted Answer

A) True 
 B)False

Question 8

The coefficient of determination gives the proportion of the variability in the dependent variable that is explained by the regression equation.

Accepted Answer

A) True 
 B)False

Question 9

The diagram below illustrates data with a

Accepted Answer

A)   negative correlation coefficient.
B)   zero correlation coefficient.
C)   positive correlation coefficient.
D)   correlation coefficient equal to +1.
E)   None of the above

Question 10

As more variables are added to the model, what happens to the r2 value?

Accepted Answer

It usually...

Question 11

One purpose of regression is to understand the relationship between variables.

Accepted Answer

A) True 
 B)False

Question 12

Which of the following statements (are)  is not true about regression models?

Accepted Answer

A)   Estimates of the slope are found from sample data.
B)   The regression line minimizes the sum of the squared errors.
C)   The error is found by subtracting the actual data value from the predicted data value.
D)   The dependent variable is the explanatory variable.
E)   The intercept coefficient is not typically interpreted.

Question 13

Which of the following equalities is correct?

Accepted Answer

A)   SST = SSR + SSE
B)   SSR = SST + SSE
C)   SSE = SSR + SST
D)   SST = SSC + SSR
E)   SSE = Actual Value - Predicted Value

Question 14

Often, a plot of the residuals will highlight any glaring violations of the assumptions.

Accepted Answer

A) True 
 B)False

Question 15

The SST measures the total variability in the dependent variable about the regression line.

Accepted Answer

A) True 
 B)False

Question 16

An automated process to systematically add or delete independent variables from a regression model is known as

Accepted Answer

A)   nonlinear transformations.
B)   multicollinearity.
C)   multiple regression.
D)   least squares method.
E)   None of the above

Question 17

The sum of squared error (SSE)  is

Accepted Answer

A)   a measure of the total variation in Y about the mean.
B)   a measure of the total variation in X about the mean.
C)   a measure in the variation of Y about the regression line.
D)   a measure in the variation of X about the regression line.
E)   None of the above

Question 18

Which of the following is not a common pitfall of regression?

Accepted Answer

A)   If the assumptions are not met, the statistical tests may not be valid.
B)   Nonlinear relationships cannot be incorporated.
C)   Two variables may be highly correlated to one another but one is not causing the other to change.
D)   Concluding that a statistically significant relationship implies practical value.
E)   Using a regression equation beyond the range of X is very questionable.

Question 19

If every point lies on the regression line, r2 = ________.

Accepted Answer

Question 20

Explain what r2 is.

Accepted Answer

It is a value between 0 and +1...

Exam 4: Regression Models

The regression model assumes the errors are normally distributed.

Correct AnswerverifiedShow Answer

Which of the following statements (are) is not true about regression models?

Correct AnswerverifiedShow Answer

The sum of squared error (SSE) is

Correct AnswerverifiedShow Answer

Explain what r2 is.

Correct AnswerverifiedIt is a value between 0 and +1...View AnswerShow Answer

If every point lies on the regression line, r2 = ________.

Correct AnswerverifiedShow Answer

If multicollinearity exists, then individual interpretation of the variables is questionable, but the overall model is still good for prediction purposes.

Correct AnswerverifiedShow Answer

The standard error of the estimate is also called the variance of the regression.

Correct AnswerverifiedShow Answer

The regression model assumes the error terms are dependent.

Correct AnswerverifiedShow Answer

An automated process to systematically add or delete independent variables from a regression model is known as

Correct AnswerverifiedShow Answer

The variable to be predicted is the dependent variable.

Correct AnswerverifiedShow Answer

Which of the following equalities is correct?

Correct AnswerverifiedShow Answer

The best model is a statistically significant model with a high r-square and few variables.

Correct AnswerverifiedShow Answer

Which of the following is not a common pitfall of regression?

Correct AnswerverifiedShow Answer

One purpose of regression is to understand the relationship between variables.

Correct AnswerverifiedShow Answer

The adjusted r2 will always increase as additional variables are added to the model.

Correct AnswerverifiedShow Answer

The SST measures the total variability in the dependent variable about the regression line.

Correct AnswerverifiedShow Answer

The coefficient of determination gives the proportion of the variability in the dependent variable that is explained by the regression equation.

Correct AnswerverifiedShow Answer

As more variables are added to the model, what happens to the r2 value?

Correct AnswerverifiedIt usually...View AnswerShow Answer

Often, a plot of the residuals will highlight any glaring violations of the assumptions.

Correct AnswerverifiedShow Answer

The diagram below illustrates data with a

Correct AnswerverifiedShow Answer

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Explain what r² is.

Correct Answer
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It is a value between 0 and +1...
View Answer

If every point lies on the regression line, r² = ________.

Correct Answer
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The adjusted r² will always increase as additional variables are added to the model.

Correct Answer
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As more variables are added to the model, what happens to the r² value?

Correct Answer
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It usually...
View Answer

Correct Answer
verified

Correct Answer
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