Question 1

The multiple coefficient of determination is the _______ divided by the total variation.

Accepted Answer

A) Unexplained variation 
B) SSE 
C) Explained variation 
D) Distance value 
E) Leverage value 
A) Unexplained variation 
B) SSE 
C) Explained variation 
D) Distance value 
E) Leverage value

Question 2

Which one of the following is not an assumption about the residuals in a regression model?

Accepted Answer

A) Constant variance 
B) Independence 
C) Normality 
D) Variance of zero 
E) Mean of zero 
A) Constant variance 
B) Independence 
C) Normality 
D) Variance of zero 
E) Mean of zero

Question 3

Adding any independent variable to a regression model will increase ____________.

Accepted Answer

A)    
B) s 
C) MSE 
D) R2 
E) The length of all prediction intervals 
A)    
B) s 
C) MSE 
D) R2 
E) The length of all prediction intervals

Question 4

A t test is used in testing the significance of an individual independent variable.

Accepted Answer

A) True 
 B)False

Question 5

Use the following correlation matrix and determine the best multiple regression prediction equation that has no significant multicollinearity.

Accepted Answer

The answer of Use the following correlation matrix and determine...

Question 6

In a multiple regression analysis,if the normal probability plot ____________,then it can be concluded that the assumption of normality is not violated.

Accepted Answer

A) Is a straight line 
B) Has the shape of a symmetric bell-shaped curve 
C) Is greatly curved 
D) Is left skewed 
E) Has the shape of a parabola that opens upward 
A) Is a straight line 
B) Has the shape of a symmetric bell-shaped curve 
C) Is greatly curved 
D) Is left skewed 
E) Has the shape of a parabola that opens upward

Question 7

In multiple regression analysis,a desirable residual plot has what type of appearance?

Accepted Answer

A) Curved 
B) Cyclical 
C) Fanning out 
D) Funneling in 
E) Horizontal band 
A) Curved 
B) Cyclical 
C) Fanning out 
D) Funneling in 
E) Horizontal band

Question 8

In regression analysis,the standard error (s)is _________ greater than the standard deviation of y (the dependent variable).

Accepted Answer

A) Always 
B) Sometimes 
C) Never 
A) Always 
B) Sometimes 
C) Never

Question 9

The management of a professional baseball team is in the process of determining the budget for next year.A major component of future revenue is attendance at the home games.In order to predict attendance at home games,the team statistician has used a multiple regression model with dummy variables.The model is of the form y = β0 + β1x1 + β2x2 + β3x3 + ε,where:
y = attendance at a home game.
x1 = current power rating of the team on a scale from 0 to 100 before the game.
x2 and x3 are dummy variables,and they are defined below.
x2 = 1,if weekend,
x2 = 0,otherwise.
x3 = 1,if weather is favorable,
x3 = 0,otherwise.
After collecting the data,based on 30 games from last year,and implementing the above stated multiple regression model,the team statistician obtained the following least squares multiple regression equation:   The multiple regression computer output also indicated the following:   Interpret the estimated model coefficient b1.

Accepted Answer

For each additional rating point the bas

Question 10

A multiple regression analysis with 20 observations on each of three independent variables and the dependent variable would yield ______ and _______ degrees of freedom,respectively,for regression (explained)and error.

Accepted Answer

A) 3,17 
B) 3,16 
C) 4,16 
D) 3,19 
E) 3,20 
A) 3,17 
B) 3,16 
C) 4,16 
D) 3,19 
E) 3,20

The multiple coefficient of determination is the _______ divided by the total variation.

Which one of the following is not an assumption about the residuals in a regression model?

Adding any independent variable to a regression model will increase ____________.

A t test is used in testing the significance of an individual independent variable.

Use the following correlation matrix and determine the best multiple regression prediction equation that has no significant multicollinearity.

In a multiple regression analysis,if the normal probability plot ____________,then it can be concluded that the assumption of normality is not violated.

In multiple regression analysis,a desirable residual plot has what type of appearance?

In regression analysis,the standard error (s)is _________ greater than the standard deviation of y (the dependent variable).

A multiple regression analysis with 20 observations on each of three independent variables and the dependent variable would yield and _ degrees of freedom,respectively,for regression (explained)and error.

An Introduction to Business Statistics

Descriptive Statistics: Tabular and Graphical Methods

Descriptive Statistics: Numerical Methods

Probability

Discrete Random Variables

Continuous Random Variables

Sampling and Sampling Distributions

Confidence Intervals

Hypothesis Testing

Statistical Inferences Based on Two Samples

Experimental Design and Analysis of Variance

Chi-Square Tests

Simple Linear Regression Analysis

Process Improvement Using Control Charts

Filters

Exam 14: Multiple Regression and Model Building

The multiple coefficient of determination is the _______ divided by the total variation.

Which one of the following is not an assumption about the residuals in a regression model?

Adding any independent variable to a regression model will increase ____________.

A t test is used in testing the significance of an individual independent variable.

Use the following correlation matrix and determine the best multiple regression prediction equation that has no significant multicollinearity.

In a multiple regression analysis,if the normal probability plot ____________,then it can be concluded that the assumption of normality is not violated.

In multiple regression analysis,a desirable residual plot has what type of appearance?

In regression analysis,the standard error (s)is _________ greater than the standard deviation of y (the dependent variable).

A multiple regression analysis with 20 observations on each of three independent variables and the dependent variable would yield ______ and _______ degrees of freedom,respectively,for regression (explained)and error.

An Introduction to Business Statistics

Descriptive Statistics: Tabular and Graphical Methods

Descriptive Statistics: Numerical Methods

Probability

Discrete Random Variables

Continuous Random Variables

Sampling and Sampling Distributions

Confidence Intervals

Hypothesis Testing

Statistical Inferences Based on Two Samples

Experimental Design and Analysis of Variance

Chi-Square Tests

Simple Linear Regression Analysis

Process Improvement Using Control Charts

Filters

A multiple regression analysis with 20 observations on each of three independent variables and the dependent variable would yield and _ degrees of freedom,respectively,for regression (explained)and error.