Question 1

Below is a partial multiple regression ANOVA table.

Accepted Answer

\[\begin{array} { l l l } 
\text { Sourc

Question 2

In using a regression model,if a new independent variable is added,the value of R2 (thr coefficient of multiple determination)will ___________ decrease.

Accepted Answer

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

Question 3

The variance inflation factor measures the relationship between the dependent variable and the rest of the independent variables in the regression model.

Accepted Answer

A) True 
 B)False

Question 4

The y intercept (β0)in a multiple regression model represents the estimated value of the __________ variable,when the value of all independent variables are _________.

Accepted Answer

A) Response,one 
B) Dummy,zero 
C) Response,zero 
D) Dummy,one 
A) Response,one 
B) Dummy,zero 
C) Response,zero 
D) Dummy,one

Question 5

Below is a partial multiple regression ANOVA table.

Accepted Answer

\[\begin{array} { l l l } 
\text { Sourc

Question 6

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

Accepted Answer

A) True 
 B)False

Question 7

A particular multiple regression model has 3 independent variables,the sum of the squared error is 7680,and the total number of observations is 34.What is the value of the standard error of estimate?

Accepted Answer

s = 16
Feedback:s =

Question 8

Below is a partial multiple regression computer output.

Accepted Answer

\[\begin{array} { l l l } 
\text { Sourc

Question 9

Consider the following partial computer output for a multiple regression model.

Accepted Answer

\[\begin{array} { l c c } 
\underline{\t

Question 10

Plotting the residuals in a time-ordered sequence will reveal possible violations of the __________ of error terms assumption.

Accepted Answer

A) Normality 
B) Independence 
C) Constant variation 
D) Residual sum 
A) Normality 
B) Independence 
C) Constant variation 
D) Residual sum

Question 11

Calculate the odds ratio for an event when its probability is 0.50.

Accepted Answer

1 to 1
Feedback:Odds

Question 12

The general form of the quadratic multiple regression models is:

Accepted Answer

A) y = β1X1 + β2x2 + ε 
B) y = β0 + β1x1 + β2x2 + ε 
C) y = β0 + β1x + β2x2 + ε 
D) y = β0 + β1x2 + ε 
E) y = β0 + β1x1 +β2x22 + ε 
A) y = β1X1 + β2x2 + ε 
B) y = β0 + β1x1 + β2x2 + ε 
C) y = β0 + β1x + β2x2 + ε 
D) y = β0 + β1x2 + ε 
E) y = β0 + β1x1 +β2x22 + ε

Question 13

Consider the following partial computer output for a multiple regression model.

Accepted Answer

\[\begin{array} { l l l } 
\text { Predi

Question 14

Because multiple regression models consist of multiple independent variables,residual analysis cannot be performed.

Accepted Answer

A) True 
 B)False

Question 15

A county has four major hospitals: (1)Regional Memorial, (2)General, (3)Charity,and (4)City.A multiple regression model is used to compare the time spent in these hospitals after a heart bypass surgery.The response variable is the amount of time spent in the hospital (in days),the quantitative independent variables include the age of the patient,cholesterol level of the patient,and blood pressure of the patient.Define the dummy variables so that all other hospitals are compared to City hospital (base).

Accepted Answer

x₁ = 1,if the heart surgery is in Regiona

Question 16

Given the regression model y = β0 + β1x1 + β2x2 + β3x12 + β4x22 + ε,if we wish to test the significance of higher-order terms (x12 and x22),we would use the following test.

Accepted Answer

A) Overall F test 
B) Durbin-Watson test 
C) Partial F test 
D) t test 
E) Cook's distance measure 
A) Overall F test 
B) Durbin-Watson test 
C) Partial F test 
D) t test 
E) Cook's distance measure

Question 17

The manufacturer of a light fixture believes that the dollars spent on advertising,the price of the fixture,and the number of retail stores selling the fixture in a particular month influence the light fixture sales.The manufacturer randomly selects 10 months and collects the following data:

Accepted Answer

\[\begin{array} { l l l l } 
\text { Sal

Question 18

Below is a partially completed multiple regression analysis of variance (ANOVA)table.

Accepted Answer

\[\begin{array} { l l l } 
\te

Question 19

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 20

The manufacturer of a light fixture believes that the dollars spent on advertising,the price of the fixture,and the number of retail stores selling the fixture in a particular month influence the light fixture sales.The manufacturer randomly selects 10 months and collects the following data:

Accepted Answer

\[\begin{array} { l l l l } 
\text { Sal

Below is a partial multiple regression ANOVA table.

In using a regression model,if a new independent variable is added,the value of R² (thr coefficient of multiple determination)will ___________ decrease.

The variance inflation factor measures the relationship between the dependent variable and the rest of the independent variables in the regression model.

The y intercept (β₀)in a multiple regression model represents the estimated value of the __ variable,when the value of all independent variables are _.

Below is a partial multiple regression ANOVA table.

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

A particular multiple regression model has 3 independent variables,the sum of the squared error is 7680,and the total number of observations is 34.What is the value of the standard error of estimate?

Below is a partial multiple regression computer output.

Consider the following partial computer output for a multiple regression model.

Plotting the residuals in a time-ordered sequence will reveal possible violations of the __________ of error terms assumption.

Calculate the odds ratio for an event when its probability is 0.50.

The general form of the quadratic multiple regression models is:

Consider the following partial computer output for a multiple regression model.

Because multiple regression models consist of multiple independent variables,residual analysis cannot be performed.

Given the regression model y = β₀ + β₁x₁ + β₂x₂ + β₃x₁² + β₄x₂² + ε,if we wish to test the significance of higher-order terms (x₁² and x₂²),we would use the following test.

The manufacturer of a light fixture believes that the dollars spent on advertising,the price of the fixture,and the number of retail stores selling the fixture in a particular month influence the light fixture sales.The manufacturer randomly selects 10 months and collects the following data:

Below is a partially completed multiple regression analysis of variance (ANOVA)table.

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

The manufacturer of a light fixture believes that the dollars spent on advertising,the price of the fixture,and the number of retail stores selling the fixture in a particular month influence the light fixture sales.The manufacturer randomly selects 10 months and collects the following data:

Statistical Inferences for Population Variances

Experimental Design and Analysis of Variance

Chi-Square Tests

Simple Linear Regression Analysis

Time Series Forecasting and Index Numbers

Process Improvement Using Control Charts

Nonparametric Methods

Decision Theory

Filters

Exam 15: Multiple Regression and Model Building

Below is a partial multiple regression ANOVA table.

In using a regression model,if a new independent variable is added,the value of R2 (thr coefficient of multiple determination)will ___________ decrease.

The variance inflation factor measures the relationship between the dependent variable and the rest of the independent variables in the regression model.

The y intercept (β0)in a multiple regression model represents the estimated value of the __________ variable,when the value of all independent variables are _________.

Below is a partial multiple regression ANOVA table.

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

A particular multiple regression model has 3 independent variables,the sum of the squared error is 7680,and the total number of observations is 34.What is the value of the standard error of estimate?

Below is a partial multiple regression computer output.

Consider the following partial computer output for a multiple regression model.

Plotting the residuals in a time-ordered sequence will reveal possible violations of the __________ of error terms assumption.

Calculate the odds ratio for an event when its probability is 0.50.

The general form of the quadratic multiple regression models is:

Consider the following partial computer output for a multiple regression model.

Because multiple regression models consist of multiple independent variables,residual analysis cannot be performed.

Given the regression model y = β0 + β1x1 + β2x2 + β3x12 + β4x22 + ε,if we wish to test the significance of higher-order terms (x12 and x22),we would use the following test.

The manufacturer of a light fixture believes that the dollars spent on advertising,the price of the fixture,and the number of retail stores selling the fixture in a particular month influence the light fixture sales.The manufacturer randomly selects 10 months and collects the following data:

Below is a partially completed multiple regression analysis of variance (ANOVA)table.

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

The manufacturer of a light fixture believes that the dollars spent on advertising,the price of the fixture,and the number of retail stores selling the fixture in a particular month influence the light fixture sales.The manufacturer randomly selects 10 months and collects the following data:

Statistical Inferences for Population Variances

Experimental Design and Analysis of Variance

Chi-Square Tests

Simple Linear Regression Analysis

Time Series Forecasting and Index Numbers

Process Improvement Using Control Charts

Nonparametric Methods

Decision Theory

Filters

In using a regression model,if a new independent variable is added,the value of R² (thr coefficient of multiple determination)will ___________ decrease.

The y intercept (β₀)in a multiple regression model represents the estimated value of the __ variable,when the value of all independent variables are _.

Given the regression model y = β₀ + β₁x₁ + β₂x₂ + β₃x₁² + β₄x₂² + ε,if we wish to test the significance of higher-order terms (x₁² and x₂²),we would use the following test.