Question 1

SCENARIO 14-2  
-Referring to Scenario 14-2, for these data, what is the value for the regression constant, b0?

Accepted Answer

A)  0.616 
B)  1.054 
C)  6.932 
D)  9.103 
A)  0.616 
B)  1.054 
C)  6.932 
D)  9.103

Question 2

SCENARIO 14-13
An econometrician is interested in evaluating the relationship of demand for building materials to
mortgage rates in Los Angeles and San Francisco.He believes that the appropriate model is
Y = 10 + 5X1 + 8X2
where X1 = mortgage rate in %
X2 = 1 if SF, 0 if LA
Y = demand in $100 per capita
-Referring to Scenario 14-13, the fitted model for predicting demand in Los Angeles is
________.

Accepted Answer

A)  10 + 5X1 
B)  10 + 13X1 
C)  15 + 8X2 
D)  18 + 5X2 
A)  10 + 5X1 
B)  10 + 13X1 
C)  15 + 8X2 
D)  18 + 5X2

Question 3

SCENARIO 14-3  
-Referring to Scenario 14-3, to test whether aggregate price index has a positive impact on
Consumption, the p-value is

Accepted Answer

A)  0.0001 
B)  0.4165 
C)  0.5835 
D)  0.8330 
A)  0.0001 
B)  0.4165 
C)  0.5835 
D)  0.8330

Question 4

True or False: A regression had the following results: SST = 102.55, SSE = 82.04.It can be
said that 20.0% of the variation in the dependent variable is explained by the independent
variables in the regression.

Accepted Answer

A) True 
 B)False

Question 5

SCENARIO 14-15  
-True or False: Referring to Scenario 14-15, there is sufficient evidence that both of the
explanatory variables are related to the percentage of students passing the proficiency test at a 5%
level of significance.

Accepted Answer

A) True 
 B)False

Question 6

SCENARIO 14-13
An econometrician is interested in evaluating the relationship of demand for building materials to
mortgage rates in Los Angeles and San Francisco.He believes that the appropriate model is
Y = 10 + 5X1 + 8X2
where X1 = mortgage rate in %
X2 = 1 if SF, 0 if LA
Y = demand in $100 per capita
-Referring to Scenario 14-13, the predicted demand in San Francisco when the mortgage rate is
10% is ________.

Accepted Answer

The answer of SCENARIO 14-13
An econometrician is interested in evaluating...

Question 7

True or False: If you have taken into account all relevant explanatory factors, the residuals
from a multiple regression model should be random.

Accepted Answer

A) True 
 B)False

Question 8

SCENARIO 14-15  
-True or False: Referring to Scenario 14-15, there is sufficient evidence that the percentage of
students passing the proficiency test depends on both of the explanatory variables at a 5% level of
significance.

Accepted Answer

A) True 
 B)False

Question 9

SCENARIO 14-16     
14-64 Introduction to Multiple Regression   
Introduction to Multiple Regression 14-65  
-Referring to Scenario 14-16, what is the correct interpretation for the estimated coefficient for
X1?

Accepted Answer

A)  As the 0 to 60 miles per hour acceleration time increases by one second, the mean engine size will decrease by an estimated 0.0005 c.c.without taking into consideration the other
Independent variable included in the model. 
B)  As the engine size increases by one c.c., the mean 0 to 60 miles per hour acceleration time will decrease by an estimated 0.0005 seconds without taking into consideration the
Other independent variable included in the model. 
C)  As the 0 to 60 miles per hour acceleration time increases by one second, the mean engine size will decrease by an estimated 0.0005 c.c.taking into consideration the other
Independent variable included in the model. 
D)  As the engine size increases by one c.c., the mean 0 to 60 miles per hour acceleration time will decrease by an estimated 0.0005 seconds taking into consideration the other
Independent variable included in the model. 
A)  As the 0 to 60 miles per hour acceleration time increases by one second, the mean engine size will decrease by an estimated 0.0005 c.c.without taking into consideration the other
Independent variable included in the model. 
B)  As the engine size increases by one c.c., the mean 0 to 60 miles per hour acceleration time will decrease by an estimated 0.0005 seconds without taking into consideration the
Other independent variable included in the model. 
C)  As the 0 to 60 miles per hour acceleration time increases by one second, the mean engine size will decrease by an estimated 0.0005 c.c.taking into consideration the other
Independent variable included in the model. 
D)  As the engine size increases by one c.c., the mean 0 to 60 miles per hour acceleration time will decrease by an estimated 0.0005 seconds taking into consideration the other
Independent variable included in the model.

Question 10

SCENARIO 14-13
An econometrician is interested in evaluating the relationship of demand for building materials to
mortgage rates in Los Angeles and San Francisco.He believes that the appropriate model is
Y = 10 + 5X1 + 8X2
where X1 = mortgage rate in %
X2 = 1 if SF, 0 if LA
Y = demand in $100 per capita
-Referring to Scenario 14-13, the predicted demand in Los Angeles when the mortgage rate is
8% is ________.

Accepted Answer

The answer of SCENARIO 14-13
An econometrician is interested in evaluating...

Question 11

Accepted Answer

A) True 
 B)False

Question 12

SCENARIO 14-15  
-True or False: Referring to Scenario 14-15, there is sufficient evidence that the percentage of
students passing the proficiency test depends on at least one of the explanatory variables at a 5%
level of significance.

Accepted Answer

A) True 
 B)False

Question 13

SCENARIO 14-4   
14-10 Introduction to Multiple Regression
-Referring to Scenario 14-4, which of the following values for the level of significance is the
Smallest for which each explanatory variable is significant individually?

Accepted Answer

A)  0.001 
B)  0.010 
C)  0.025 
D)  0.050 
A)  0.001 
B)  0.010 
C)  0.025 
D)  0.050

Question 14

SCENARIO 14-13
An econometrician is interested in evaluating the relationship of demand for building materials to
mortgage rates in Los Angeles and San Francisco.He believes that the appropriate model is
Y = 10 + 5X1 + 8X2
where X1 = mortgage rate in %
X2 = 1 if SF, 0 if LA
Y = demand in $100 per capita
-Referring to Scenario 14-13, holding constant the effect of city, each additional increase of 1%
in the mortgage rate would lead to an estimated increase of ________ in the mean demand.

Accepted Answer

The answer of SCENARIO 14-13
An econometrician is interested in evaluating...

Question 15

SCENARIO 14-5
A microeconomist wants to determine how corporate sales are influenced by capital and wage
spending by companies.She proceeds to randomly select 26 large corporations and record
information in millions of dollars.The Microsoft Excel output below shows results of this multiple
regression.   
Introduction to Multiple Regression 14-17
-Referring to Scenario 14-5, what are the predicted sales (in millions of dollars)for a company
Spending $100 million on capital and $100 million on wages?

Accepted Answer

A)  15,800.00 
B)  16,520.07 
C)  17,277.49 
D)  20,455.98 
A)  15,800.00 
B)  16,520.07 
C)  17,277.49 
D)  20,455.98

Question 16

SCENARIO 14-15  
-True or False: Referring to Scenario 14-15, you can conclude that instructional spending per
pupil has no impact on the mean percentage of students passing the proficiency test, taking into
account the effect of mean teacher salary, at a 5% level of significance using the confidence
interval estimate for β2 .

Accepted Answer

A) True 
 B)False

Question 17

SCENARIO 14-15  
-Referring to Scenario 14-15, which of the following is the correct alternative hypothesis to
Determine whether there is a significant relationship between percentage of students passing the
Proficiency test and the entire set of explanatory variables?

Accepted Answer

Question 18

SCENARIO 14-5
A microeconomist wants to determine how corporate sales are influenced by capital and wage
spending by companies.She proceeds to randomly select 26 large corporations and record
information in millions of dollars.The Microsoft Excel output below shows results of this multiple
regression.   
Introduction to Multiple Regression 14-17
-Referring to Scenario 14-5, which of the independent variables in the model are significant at the
5% level?

Accepted Answer

A)  Capital, Wages 
B)  Capital 
C)  Wages 
D)  None of the above 
A)  Capital, Wages 
B)  Capital 
C)  Wages 
D)  None of the above

Question 19

True or False: A multiple regression is called "multiple" because it has several explanatory
variables.

Accepted Answer

A) True 
 B)False

Question 20

SCENARIO 14-3  
-Referring to Scenario 14-3, what is the estimated mean consumption level for an economy with
GDP equal to $2 billion and an aggregate price index of 90?

Accepted Answer

A)  $1.39 billion 
B)  $2.89 billion 
C)  $4.75 billion 
D)  $9.45 billion 
A)  $1.39 billion 
B)  $2.89 billion 
C)  $4.75 billion 
D)  $9.45 billion

SCENARIO 14-2 -Referring to Scenario 14-2, for these data, what is the value for the regression constant, b0?

SCENARIO 14-3 -Referring to Scenario 14-3, to test whether aggregate price index has a positive impact on Consumption, the p-value is

True or False: A regression had the following results: SST = 102.55, SSE = 82.04.It can be said that 20.0% of the variation in the dependent variable is explained by the independent variables in the regression.

SCENARIO 14-15 -True or False: Referring to Scenario 14-15, there is sufficient evidence that both of the explanatory variables are related to the percentage of students passing the proficiency test at a 5% level of significance.

True or False: If you have taken into account all relevant explanatory factors, the residuals from a multiple regression model should be random.

SCENARIO 14-15 -True or False: Referring to Scenario 14-15, there is sufficient evidence that the percentage of students passing the proficiency test depends on both of the explanatory variables at a 5% level of significance.

SCENARIO 14-16 14-64 Introduction to Multiple Regression Introduction to Multiple Regression 14-65 -Referring to Scenario 14-16, what is the correct interpretation for the estimated coefficient for X1?

SCENARIO 14-15 -True or False: Referring to Scenario 14-15, there is sufficient evidence that the percentage of students passing the proficiency test depends on at least one of the explanatory variables at a 5% level of significance.

SCENARIO 14-4 14-10 Introduction to Multiple Regression -Referring to Scenario 14-4, which of the following values for the level of significance is the Smallest for which each explanatory variable is significant individually?

SCENARIO 14-15 -Referring to Scenario 14-15, which of the following is the correct alternative hypothesis to Determine whether there is a significant relationship between percentage of students passing the Proficiency test and the entire set of explanatory variables?

True or False: A multiple regression is called "multiple" because it has several explanatory variables.

SCENARIO 14-3 -Referring to Scenario 14-3, what is the estimated mean consumption level for an economy with GDP equal to $2 billion and an aggregate price index of 90?

Defining and Collecting Data

Organizing and Visualizing

Numerical Descriptive Measures

Basic Probability

Discrete Probability Distributions

Conthe Tinuonormausl Disdis Tributionstribution and Other

Sampling Distributions

Confidence Interval Estimation

Fundamentals of Hypothesis Testing: One-Sample Tests

Two-Sample Tests

Analysis of Variance

Chi-Square and Nonparametric

Simple Linear Regression

Multiple Regression

Time-Series Forecasting

Business Analytics

A Roadmap for Analyzing Data

Statistical Applications in Quality Management

Decision Making

Filters

Exam 14: Introduction to Multiple

SCENARIO 14-2 -Referring to Scenario 14-2, for these data, what is the value for the regression constant, b0?

SCENARIO 14-3 -Referring to Scenario 14-3, to test whether aggregate price index has a positive impact on Consumption, the p-value is

True or False: A regression had the following results: SST = 102.55, SSE = 82.04.It can be said that 20.0% of the variation in the dependent variable is explained by the independent variables in the regression.

SCENARIO 14-15 -True or False: Referring to Scenario 14-15, there is sufficient evidence that both of the explanatory variables are related to the percentage of students passing the proficiency test at a 5% level of significance.

True or False: If you have taken into account all relevant explanatory factors, the residuals from a multiple regression model should be random.

SCENARIO 14-15 -True or False: Referring to Scenario 14-15, there is sufficient evidence that the percentage of students passing the proficiency test depends on both of the explanatory variables at a 5% level of significance.

SCENARIO 14-16 14-64 Introduction to Multiple Regression Introduction to Multiple Regression 14-65 -Referring to Scenario 14-16, what is the correct interpretation for the estimated coefficient for X1?

SCENARIO 14-15 -True or False: Referring to Scenario 14-15, there is sufficient evidence that the percentage of students passing the proficiency test depends on at least one of the explanatory variables at a 5% level of significance.

SCENARIO 14-4 14-10 Introduction to Multiple Regression -Referring to Scenario 14-4, which of the following values for the level of significance is the Smallest for which each explanatory variable is significant individually?

SCENARIO 14-15 -Referring to Scenario 14-15, which of the following is the correct alternative hypothesis to Determine whether there is a significant relationship between percentage of students passing the Proficiency test and the entire set of explanatory variables?

True or False: A multiple regression is called "multiple" because it has several explanatory variables.

SCENARIO 14-3 -Referring to Scenario 14-3, what is the estimated mean consumption level for an economy with GDP equal to $2 billion and an aggregate price index of 90?

Defining and Collecting Data

Organizing and Visualizing

Numerical Descriptive Measures

Basic Probability

Discrete Probability Distributions

Conthe Tinuonormausl Disdis Tributionstribution and Other

Sampling Distributions

Confidence Interval Estimation

Fundamentals of Hypothesis Testing: One-Sample Tests

Two-Sample Tests

Analysis of Variance

Chi-Square and Nonparametric

Simple Linear Regression

Multiple Regression

Time-Series Forecasting

Business Analytics

A Roadmap for Analyzing Data

Statistical Applications in Quality Management

Decision Making

Filters