Question 1

Evans' Rule says that if n = 50 you need at least 5 predictors to have a good model.

Accepted Answer

A) True 
 B)False

Question 2

When multicollinearity is present,the regression model is of no use for making predictions.

Accepted Answer

A) True 
 B)False

Question 3

If a regression model's F test statistic is Fcalc = 43.82,we could say that the explained variance is approximately 44 percent.

Accepted Answer

A) True 
 B)False

Question 4

Heteroscedasticity exists when all the errors (residuals)have the same variance.

Accepted Answer

A) True 
 B)False

Question 5

A disadvantage of Excel's Data Analysis regression tool is that it expects the independent variables to be in a block of contiguous columns,so you must delete a column if you want to eliminate a predictor from the model.

Accepted Answer

A) True 
 B)False

Question 6

Non-normality of the residuals from a regression can best be detected by looking at the residual plots against the fitted Y values.

Accepted Answer

A) True 
 B)False

Question 7

When the predictor units of measurement differ greatly in magnitude,which action might be useful?

Accepted Answer

A) Stepwise regression to detect which predictors are best 
B) Decimal transformations to improve data conditioning 
C) Logistic regression to produce probability predictions 
D) Best subsets regression to find the best model 
A) Stepwise regression to detect which predictors are best 
B) Decimal transformations to improve data conditioning 
C) Logistic regression to produce probability predictions 
D) Best subsets regression to find the best model

Question 8

If X2 is a binary predictor in Y = β0 + β1X1 + β2X2,then which statement is most nearly correct?

Accepted Answer

A) X2 = 1 should represent the most desirable condition. 
B) X2 would be a significant predictor if β2 = 423.72. 
C) X2 = 0,X2 = 1,X2 = 2 would be appropriate if three categories exist. 
D) X2 will shift the estimated equation either by 0 units or by β2 units. 
A) X2 = 1 should represent the most desirable condition. 
B) X2 would be a significant predictor if β2 = 423.72. 
C) X2 = 0,X2 = 1,X2 = 2 would be appropriate if three categories exist. 
D) X2 will shift the estimated equation either by 0 units or by β2 units.

Question 9

Refer to this ANOVA table from a regression:   For this regression,the R2 is

Accepted Answer

A) 0.3995 
B) 0.6005 
C) 0.6654 
D) 0.8822 
A) 0.3995 
B) 0.6005 
C) 0.6654 
D) 0.8822

Question 10

The relationship of Y to four other variables was established as Y = 12 + 3X1 − 5X2 + 7X3 + 2X4.When X1 increases 5 units and X2 increases 3 units,while X3 and X4 remain unchanged,what change would you expect in your estimate of Y?

Accepted Answer

A) Decrease by 15 
B) Increase by 15 
C) No change 
D) Increase by 5 
A) Decrease by 15 
B) Increase by 15 
C) No change 
D) Increase by 5

Question 11

The regression equation Salary = 25,000 + 3200 YearsExperience + 1400 YearsCollege describes employee salaries at Axolotl Corporation.The standard error is 2600.John has 10 years' experience and 4 years of college.His salary is $66,500.What is John's standardized residual?

Accepted Answer

A) −1.250 
B) −0.240 
C) +0.870 
D) +1.500 
A) −1.250 
B) −0.240 
C) +0.870 
D) +1.500

Question 12

A binary (categorical)predictor should not be used along with nonbinary (numerical)predictors.

Accepted Answer

A) True 
 B)False

Question 13

The forward selection method of stepwise regression

Accepted Answer

A) starts with all the predictors in the model and deletes the weaker ones. 
B) adds predictors one at a time starting with the best single predictor. 
C) runs all possible models and then chooses the best fitting one. 
D) requires nonlinear estimation using maximum likelihood. 
A) starts with all the predictors in the model and deletes the weaker ones. 
B) adds predictors one at a time starting with the best single predictor. 
C) runs all possible models and then chooses the best fitting one. 
D) requires nonlinear estimation using maximum likelihood.

Question 14

A high variance inflation factor (VIF)indicates a significant predictor in the regression.

Accepted Answer

A) True 
 B)False

Question 15

A multiple regression with 60 observations should not have 13 predictors.

Accepted Answer

A) True 
 B)False

Question 16

A multiple regression analysis with two independent variables yielded the following results in the ANOVA table: SS(Total)= 798,SS(Regression)= 738,SS(Error)= 60.The multiple correlation coefficient is

Accepted Answer

A) 0.2742 
B) 0.0752 
C) 0.9248 
D) 0.9617 
A) 0.2742 
B) 0.0752 
C) 0.9248 
D) 0.9617

Question 17

A realtor is trying to predict the selling price of houses in Greenville (in thousands of dollars)as a function of Size (measured in thousands of square feet)and whether or not there is a fireplace (FP is 0 if there is no fireplace,1 if there is a fireplace).The regression output is provided below.Some of the information has been omitted.   How many predictors (independent variables)were used in the regression?

Accepted Answer

A) 20 
B) 18 
C) 3 
D) 2 
A) 20 
B) 18 
C) 3 
D) 2

Question 18

The ScamMore Energy Company is attempting to predict natural gas consumption for the month of January.A random sample of 50 homes was used to fit a regression of gas usage (in CCF)using as predictors Temperature = the thermostat setting (degrees Fahrenheit)and Occupants = the number of household occupants.They obtained the following results:   In testing each coefficient for a significant difference from zero (two-tailed test at α = .10),which is the most reasonable conclusion about the predictors?

Accepted Answer

A) Temperature is highly significant;Occupants is barely significant. 
B) Temperature is not significant;Occupants is significant. 
C) Temperature is less significant than Occupants. 
D) Temperature is significant;Occupants is not significant. 
A) Temperature is highly significant;Occupants is barely significant. 
B) Temperature is not significant;Occupants is significant. 
C) Temperature is less significant than Occupants. 
D) Temperature is significant;Occupants is not significant.

Question 19

Which is not true of the logistic regression model?

Accepted Answer

A) It is nonlinear. 
B) It can best be fitted using the maximum likelihood method. 
C) Its predictions are either 0 or 1. 
D) It cannot yield predictions greater than 1. 
A) It is nonlinear. 
B) It can best be fitted using the maximum likelihood method. 
C) Its predictions are either 0 or 1. 
D) It cannot yield predictions greater than 1.

Question 20

Which of the following is not a characteristic of the F distribution?

Accepted Answer

A) It is a continuous distribution. 
B) It uses a test statistic Fcalc that can never be negative. 
C) Its degrees of freedom vary,depending on α. 
D) It is used to test for overall significance in a regression. 
A) It is a continuous distribution. 
B) It uses a test statistic Fcalc that can never be negative. 
C) Its degrees of freedom vary,depending on α. 
D) It is used to test for overall significance in a regression.

Evans' Rule says that if n = 50 you need at least 5 predictors to have a good model.

When multicollinearity is present,the regression model is of no use for making predictions.

If a regression model's F test statistic is Fcalc = 43.82,we could say that the explained variance is approximately 44 percent.

Heteroscedasticity exists when all the errors (residuals)have the same variance.

A disadvantage of Excel's Data Analysis regression tool is that it expects the independent variables to be in a block of contiguous columns,so you must delete a column if you want to eliminate a predictor from the model.

Non-normality of the residuals from a regression can best be detected by looking at the residual plots against the fitted Y values.

When the predictor units of measurement differ greatly in magnitude,which action might be useful?

If X2 is a binary predictor in Y = β0 + β1X1 + β2X2,then which statement is most nearly correct?

Refer to this ANOVA table from a regression: For this regression,the R2 is

The relationship of Y to four other variables was established as Y = 12 + 3X1 − 5X2 + 7X3 + 2X4.When X1 increases 5 units and X2 increases 3 units,while X3 and X4 remain unchanged,what change would you expect in your estimate of Y?

The regression equation Salary = 25,000 + 3200 YearsExperience + 1400 YearsCollege describes employee salaries at Axolotl Corporation.The standard error is 2600.John has 10 years' experience and 4 years of college.His salary is $66,500.What is John's standardized residual?

A binary (categorical)predictor should not be used along with nonbinary (numerical)predictors.

The forward selection method of stepwise regression

A high variance inflation factor (VIF)indicates a significant predictor in the regression.

A multiple regression with 60 observations should not have 13 predictors.

A multiple regression analysis with two independent variables yielded the following results in the ANOVA table: SS(Total)= 798,SS(Regression)= 738,SS(Error)= 60.The multiple correlation coefficient is

Which is not true of the logistic regression model?

Which of the following is not a characteristic of the F distribution?

Overview of Statistics

Data Collection

Describing Data Visually

Descriptive Statistics

Probability

Discrete Probability Distributions

Continuous Probability Distributions

Sampling Distributions and Estimation

One-Sample Hypothesis Tests

Two-Sample Hypothesis Tests

Analysis of Variance

Simple Regression

Chi-Square Tests

Filters

Exam 13: Multiple Regression

Evans' Rule says that if n = 50 you need at least 5 predictors to have a good model.

When multicollinearity is present,the regression model is of no use for making predictions.

If a regression model's F test statistic is Fcalc = 43.82,we could say that the explained variance is approximately 44 percent.

Heteroscedasticity exists when all the errors (residuals)have the same variance.

A disadvantage of Excel's Data Analysis regression tool is that it expects the independent variables to be in a block of contiguous columns,so you must delete a column if you want to eliminate a predictor from the model.

Non-normality of the residuals from a regression can best be detected by looking at the residual plots against the fitted Y values.

When the predictor units of measurement differ greatly in magnitude,which action might be useful?

If X2 is a binary predictor in Y = β0 + β1X1 + β2X2,then which statement is most nearly correct?

Refer to this ANOVA table from a regression: For this regression,the R2 is

The relationship of Y to four other variables was established as Y = 12 + 3X1 − 5X2 + 7X3 + 2X4.When X1 increases 5 units and X2 increases 3 units,while X3 and X4 remain unchanged,what change would you expect in your estimate of Y?

The regression equation Salary = 25,000 + 3200 YearsExperience + 1400 YearsCollege describes employee salaries at Axolotl Corporation.The standard error is 2600.John has 10 years' experience and 4 years of college.His salary is $66,500.What is John's standardized residual?

A binary (categorical)predictor should not be used along with nonbinary (numerical)predictors.

The forward selection method of stepwise regression

A high variance inflation factor (VIF)indicates a significant predictor in the regression.

A multiple regression with 60 observations should not have 13 predictors.

A multiple regression analysis with two independent variables yielded the following results in the ANOVA table: SS(Total)= 798,SS(Regression)= 738,SS(Error)= 60.The multiple correlation coefficient is

Which is not true of the logistic regression model?

Which of the following is not a characteristic of the F distribution?

Overview of Statistics

Data Collection

Describing Data Visually

Descriptive Statistics

Probability

Discrete Probability Distributions

Continuous Probability Distributions

Sampling Distributions and Estimation

One-Sample Hypothesis Tests

Two-Sample Hypothesis Tests

Analysis of Variance

Simple Regression

Chi-Square Tests

Filters