Question 1

An error term represents the vertical distance from any point to the

Accepted Answer

A) estimated regression line. 
B) population regression line. 
C) value of the Y's. 
D) mean value of the X's. 
A) estimated regression line. 
B) population regression line. 
C) value of the Y's. 
D) mean value of the X's.

Question 2

In regression analysis,the ANOVA table analyzes

Accepted Answer

A) the variation of the response variable Y. 
B) the variation of the explanatory variable X. 
C) the total variation of all variables. 
D) some of the variation in the explanatory variable and some of the variation in the response variable. 
A) the variation of the response variable Y. 
B) the variation of the explanatory variable X. 
C) the total variation of all variables. 
D) some of the variation in the explanatory variable and some of the variation in the response variable.

Question 3

A forward procedure is a type of equation building procedure that begins with only one explanatory variable in the regression equation and successively adds one variable at a time until no remaining variables make a significant contribution.

Accepted Answer

A) True 
 B)False

Question 4

If you can determine that the outlier is not really a member of the relevant population,then it is appropriate and probably best to _____ it.

Accepted Answer

A) average 
B) reduce 
C) delete 
D) leave 
A) average 
B) reduce 
C) delete 
D) leave

Question 5

Residuals separated by one period that are autocorrelated indicate _____ autocorrelation.

Accepted Answer

A) simple 
B) redundant 
C) time 1 
D) lag 1 
A) simple 
B) redundant 
C) time 1 
D) lag 1

Question 6

Multiple regression represents an improvement over simple regression because it allows any number of response variables to be included in the analysis.

Accepted Answer

A) True 
 B)False

Question 7

The t-value for testing   is calculated using which of the following equations?

Accepted Answer

A) n - k - 1 
B)    
C)    
D)    
A) n - k - 1 
B)    
C)    
D)

Question 8

Which of the following is not one of the assumptions of regression?

Accepted Answer

A) There is a population regression line that joins the means of the dependent variable for all values of the explanatory variables. 
B) The response variable is normally distributed. 
C) The standard deviation of the response variable increases as the explanatory variables increase. 
D) The errors are probabilistically independent. 
A) There is a population regression line that joins the means of the dependent variable for all values of the explanatory variables. 
B) The response variable is normally distributed. 
C) The standard deviation of the response variable increases as the explanatory variables increase. 
D) The errors are probabilistically independent.

Question 9

If exact multicollinearity exists,redundancy exists in the data.

Accepted Answer

A) True 
 B)False

Question 10

Which of the following is not one of the assumptions of regression?

Accepted Answer

A) There is a population regression line. 
B) The explanatory variable is normally distributed. 
C) The response variable is normally distributed. 
D) The errors are probabilistically independent. 
A) There is a population regression line. 
B) The explanatory variable is normally distributed. 
C) The response variable is normally distributed. 
D) The errors are probabilistically independent.

Question 11

The term autocorrelation refers to the observation that

Accepted Answer

A) analyzed data refers to itself. 
B) sample is related too closely to the population. 
C) data are in a loop (values repeat themselves). 
D) time series variables are usually related to their own past values. 
A) analyzed data refers to itself. 
B) sample is related too closely to the population. 
C) data are in a loop (values repeat themselves). 
D) time series variables are usually related to their own past values.

Question 12

In multiple regression,if the F-ratio is small,the explained variation is small relative to the unexplained variation.

Accepted Answer

A) True 
 B)False

Question 13

Suppose you run a regression of a person's height on his/her right and left foot sizes,and you suspect that there may be multicollinearity between the foot sizes.What types of problems might you see if your suspicions are true?

Accepted Answer

A) "Wrong" values for the coefficients for the left and right foot size 
B) Large p-values for the coefficients for the left and right foot size 
C) Small t-values for the coefficients for the left and right foot size 
D) Large t-values for the coefficients for the left and right foot size 
A) "Wrong" values for the coefficients for the left and right foot size 
B) Large p-values for the coefficients for the left and right foot size 
C) Small t-values for the coefficients for the left and right foot size 
D) Large t-values for the coefficients for the left and right foot size

Question 14

Homoscedasticity means that the variability of Y values is the same for all X values.

Accepted Answer

A) True 
 B)False

Question 15

The value of the sum of squares due to regression,SSR,can never be larger than the value of the sum of squares total,SST.

Accepted Answer

A) True 
 B)False

Question 16

The ANOVA table splits the total variation into two parts.They are the _____ variation.

Accepted Answer

A) acceptable and unacceptable 
B) adequate and inadequate 
C) resolved and unresolved 
D) explained and unexplained 
A) acceptable and unacceptable 
B) adequate and inadequate 
C) resolved and unresolved 
D) explained and unexplained

Question 17

In regression analysis,multicollinearity refers to the

Accepted Answer

A) response variables being highly correlated. 
B) explanatory variables being highly correlated. 
C) response variable(s)and the explanatory variable(s)being highly correlated with one another. 
D) response variables being highly correlated over time. 
A) response variables being highly correlated. 
B) explanatory variables being highly correlated. 
C) response variable(s)and the explanatory variable(s)being highly correlated with one another. 
D) response variables being highly correlated over time.

Question 18

One method of diagnosing heteroscedasticity is to plot the residuals against the predicted values of Y,then look for a change in the spread of the plotted values.

Accepted Answer

A) True 
 B)False

Question 19

When the error variance is nonconstant,it is common to see the variation increases as the explanatory variable increases (you will see a "fan shape" in the scatterplot).There are two ways you can deal with this phenomenon.These are

Accepted Answer

A) the weighted least squares and a logarithmic transformation. 
B) the partial F and a logarithmic transformation. 
C) the weighted least squares and the partial F. 
D) stepwise regression and the partial F. 
A) the weighted least squares and a logarithmic transformation. 
B) the partial F and a logarithmic transformation. 
C) the weighted least squares and the partial F. 
D) stepwise regression and the partial F.

Question 20

Which approach can be used to test for autocorrelation?

Accepted Answer

A) Regression coefficient 
B) Correlation coefficient 
C) Durbin-Watson statistic 
D) F-test or t-test 
A) Regression coefficient 
B) Correlation coefficient 
C) Durbin-Watson statistic 
D) F-test or t-test

An error term represents the vertical distance from any point to the

In regression analysis,the ANOVA table analyzes

A forward procedure is a type of equation building procedure that begins with only one explanatory variable in the regression equation and successively adds one variable at a time until no remaining variables make a significant contribution.

If you can determine that the outlier is not really a member of the relevant population,then it is appropriate and probably best to _____ it.

Residuals separated by one period that are autocorrelated indicate _____ autocorrelation.

Multiple regression represents an improvement over simple regression because it allows any number of response variables to be included in the analysis.

The t-value for testing is calculated using which of the following equations?

Which of the following is not one of the assumptions of regression?

If exact multicollinearity exists,redundancy exists in the data.

Which of the following is not one of the assumptions of regression?

The term autocorrelation refers to the observation that

In multiple regression,if the F-ratio is small,the explained variation is small relative to the unexplained variation.

Suppose you run a regression of a person's height on his/her right and left foot sizes,and you suspect that there may be multicollinearity between the foot sizes.What types of problems might you see if your suspicions are true?

Homoscedasticity means that the variability of Y values is the same for all X values.

The value of the sum of squares due to regression,SSR,can never be larger than the value of the sum of squares total,SST.

The ANOVA table splits the total variation into two parts.They are the _____ variation.

In regression analysis,multicollinearity refers to the

One method of diagnosing heteroscedasticity is to plot the residuals against the predicted values of Y,then look for a change in the spread of the plotted values.

When the error variance is nonconstant,it is common to see the variation increases as the explanatory variable increases (you will see a "fan shape" in the scatterplot).There are two ways you can deal with this phenomenon.These are

Which approach can be used to test for autocorrelation?

Introduction to Business Analytics

Describing the Distribution of a Variable

Finding Relationships Among Variables

Business Intelligence Bifor Data Analysis

Probability and Probability Distributions

Decision Making Under Uncertainty

Sampling and Sampling Distributions

Confidence Interval Estimation

Hypothesis Testing

Regression Analysis: Estimating Relationships

Time Series Analysis and Forecasting

Introduction to Optimization Modeling

Optimization Models

Introduction to Simulation Modeling

Simulation Models

Data Mining

Analysis of Variance and Experimental Design

Statistical Process Control

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Exam 11: Regression Analysis: Statistical Inference

An error term represents the vertical distance from any point to the

In regression analysis,the ANOVA table analyzes

A forward procedure is a type of equation building procedure that begins with only one explanatory variable in the regression equation and successively adds one variable at a time until no remaining variables make a significant contribution.

If you can determine that the outlier is not really a member of the relevant population,then it is appropriate and probably best to _____ it.

Residuals separated by one period that are autocorrelated indicate _____ autocorrelation.

Multiple regression represents an improvement over simple regression because it allows any number of response variables to be included in the analysis.

The t-value for testing is calculated using which of the following equations?

Which of the following is not one of the assumptions of regression?

If exact multicollinearity exists,redundancy exists in the data.

Which of the following is not one of the assumptions of regression?

The term autocorrelation refers to the observation that

In multiple regression,if the F-ratio is small,the explained variation is small relative to the unexplained variation.

Suppose you run a regression of a person's height on his/her right and left foot sizes,and you suspect that there may be multicollinearity between the foot sizes.What types of problems might you see if your suspicions are true?

Homoscedasticity means that the variability of Y values is the same for all X values.

The value of the sum of squares due to regression,SSR,can never be larger than the value of the sum of squares total,SST.

The ANOVA table splits the total variation into two parts.They are the _____ variation.

In regression analysis,multicollinearity refers to the

One method of diagnosing heteroscedasticity is to plot the residuals against the predicted values of Y,then look for a change in the spread of the plotted values.

When the error variance is nonconstant,it is common to see the variation increases as the explanatory variable increases (you will see a "fan shape" in the scatterplot).There are two ways you can deal with this phenomenon.These are

Which approach can be used to test for autocorrelation?

Introduction to Business Analytics

Describing the Distribution of a Variable

Finding Relationships Among Variables

Business Intelligence Bifor Data Analysis

Probability and Probability Distributions

Decision Making Under Uncertainty

Sampling and Sampling Distributions

Confidence Interval Estimation

Hypothesis Testing

Regression Analysis: Estimating Relationships

Time Series Analysis and Forecasting

Introduction to Optimization Modeling

Optimization Models

Introduction to Simulation Modeling

Simulation Models

Data Mining

Analysis of Variance and Experimental Design

Statistical Process Control

Filters