Question 1

Accepted Answer

A

Question 2

Assuming a linear relationship between X and Y, if the coefficient of correlation (r)equals
- 0)30,

Accepted Answer

B

Question 3

SCENARIO 13-11
A computer software developer would like to use the number of downloads (in thousands)for the trial
version of his new shareware to predict the amount of revenue (in thousands of dollars)he can make
on the full version of the new shareware.Following is the output from a simple linear regression
along with the residual plot and normal probability plot obtained from a data set of 30 different
sharewares that he has developed:     
Simple Linear Regression 13-43  
-True or False: Referring to Scenario 13-11, the homoscedasticity of error assumption appears to
have been violated.

Accepted Answer

A) True 
 B)False  False

Question 4

SCENARIO 13-8  
-

Accepted Answer

Question 5

SCENARIO 13-5
The managing partner of an advertising agency believes that his company's sales are related to the
industry sales.He uses Microsoft Excel to analyze the last 4 years of quarterly data with
the following results:   Durbin-Watson Statistic 1.59
-If the Durbin-Watson statistic has a value close to 4, which assumption is violated?

Accepted Answer

A)  Normality of the errors. 
B)  Independence of errors. 
C)  Homoscedasticity. 
D)  None of the above. 
A)  Normality of the errors. 
B)  Independence of errors. 
C)  Homoscedasticity. 
D)  None of the above.

Question 6

SCENARIO 13-4   
Simple Linear Regression 13-13
-Referring to Scenario 13-4, the managers of the brokerage firm wanted to test the hypothesis that
the number of new clients brought in had a positive impact on the amount of sales generated.The
p-value of the test is ________.

Accepted Answer

< 0.005 using the Ta

Question 7

SCENARIO 13-4   
Simple Linear Regression 13-13
-Referring to Scenario 13-4, the managers of the brokerage firm wanted to test the hypothesis that
the number of new clients brought in had a positive impact on the amount of sales generated.At a
level of significance of 0.01, the decision that should be made implies that the number of new
clients brought in _____ (had or did not have)a positive impact on the amount of sales
generated.

Accepted Answer

The answer of SCENARIO 13-4   
Simple Linear Regression...

Question 8

SCENARIO 13-8  
-Referring to Scenario 13-8, the value of the measured test statistic to test whether there is any
Linear relationship between GPA and ACT is

Accepted Answer

A)  0.0356 
B)  0.1021 
C)  0.7598 
D)  2.8633 
A)  0.0356 
B)  0.1021 
C)  0.7598 
D)  2.8633

Question 9

True or False: Regression analysis is used for prediction, while correlation analysis is used to
measure the strength of the association between two numerical variables.

Accepted Answer

A) True 
 B)False

Question 10

SCENARIO 13-2  
-Referring to Scenario 13-2, what is the standard error of the estimate, SYX, for the data?

Accepted Answer

A)  0.784 
B)  0.885 
C)  12.650 
D)  16.299 
A)  0.784 
B)  0.885 
C)  12.650 
D)  16.299

Question 11

Accepted Answer

Question 12

SCENARIO 13-2  
-

Accepted Answer

Question 13

SCENARIO 13-6
The following Excel tables are obtained when "Score received on an exam (measured in percentage
points)" (Y)is regressed on "percentage attendance" (X)for 22 students in a Statistics for Business
and Economics course.  
-Referring to Scenario 13-6, which of the following statements is true?

Accepted Answer

A)  If attendance increases by 0.341%, the estimated mean score received will increase by 1 percentage point. 
B)  If attendance increases by 1%, the estimated mean score received will increase by 39.39 percentage points. 
C)  If attendance increases by 1%, the estimated mean score received will increase by 0.341 percentage points. 
D)  If the score received increases by 39.39%, the estimated mean attendance will go up by 1%. 
A)  If attendance increases by 0.341%, the estimated mean score received will increase by 1 percentage point. 
B)  If attendance increases by 1%, the estimated mean score received will increase by 39.39 percentage points. 
C)  If attendance increases by 1%, the estimated mean score received will increase by 0.341 percentage points. 
D)  If the score received increases by 39.39%, the estimated mean attendance will go up by 1%.

Question 14

Accepted Answer

Question 15

SCENARIO 13-4   
Simple Linear Regression 13-13
-Referring to Scenario 13-4, the managers of the brokerage firm wanted to test the hypothesis that
the number of new clients brought in had a positive impact on the amount of sales generated.At a
level of significance of 0.01, the null hypothesis should be _______ (rejected or not rejected).

Accepted Answer

The answer of SCENARIO 13-4   
Simple Linear Regression...

Question 16

Accepted Answer

Question 17

Accepted Answer

Question 18

SCENARIO 13-8  
-Referring to Scenario 13-8, what are the decision and conclusion on testing whether there is any
Linear relationship at 1% level of significance between GPA and ACT scores?

Accepted Answer

A)  Do not reject the null hypothesis; hence there is insufficient evidence to show that ACT scores and GPA are linearly related. 
B)  Reject the null hypothesis; hence there is insufficient evidence to show that ACT scores and GPA are linearly related. 
C)  Do not reject the null hypothesis; hence there is sufficient evidence to show that ACT scores and GPA are linearly related. 
D)  Reject the null hypothesis; hence there is sufficient evidence to show that ACT scores and GPA are linearly related. 
A)  Do not reject the null hypothesis; hence there is insufficient evidence to show that ACT scores and GPA are linearly related. 
B)  Reject the null hypothesis; hence there is insufficient evidence to show that ACT scores and GPA are linearly related. 
C)  Do not reject the null hypothesis; hence there is sufficient evidence to show that ACT scores and GPA are linearly related. 
D)  Reject the null hypothesis; hence there is sufficient evidence to show that ACT scores and GPA are linearly related.

Question 19

SCENARIO 13-6
The following Excel tables are obtained when "Score received on an exam (measured in percentage
points)" (Y)is regressed on "percentage attendance" (X)for 22 students in a Statistics for Business
and Economics course.  
-Referring to Scenario 13-6, which of the following statements is true?

Accepted Answer

A)  14.26% of the total variability in score received can be explained by percentage attendance. 
B)  14.2% of the total variability in percentage attendance can be explained by score received. 
C)  2% of the total variability in score received can be explained by percentage attendance. 
D)  2% of the total variability in percentage attendance can be explained by score received. 
A)  14.26% of the total variability in score received can be explained by percentage attendance. 
B)  14.2% of the total variability in percentage attendance can be explained by score received. 
C)  2% of the total variability in score received can be explained by percentage attendance. 
D)  2% of the total variability in percentage attendance can be explained by score received.

Question 20

Accepted Answer

Assuming a linear relationship between X and Y, if the coefficient of correlation (r)equals - 0)30,

SCENARIO 13-8 -

SCENARIO 13-4 Simple Linear Regression 13-13 -Referring to Scenario 13-4, the managers of the brokerage firm wanted to test the hypothesis that the number of new clients brought in had a positive impact on the amount of sales generated.The p-value of the test is ________.

SCENARIO 13-8 -Referring to Scenario 13-8, the value of the measured test statistic to test whether there is any Linear relationship between GPA and ACT is

True or False: Regression analysis is used for prediction, while correlation analysis is used to measure the strength of the association between two numerical variables.

SCENARIO 13-2 -Referring to Scenario 13-2, what is the standard error of the estimate, SYX, for the data?

SCENARIO 13-2 -

SCENARIO 13-8 -Referring to Scenario 13-8, what are the decision and conclusion on testing whether there is any Linear relationship at 1% level of significance between GPA and ACT scores?

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

Introduction to Multiple

Multiple Regression

Time-Series Forecasting

Business Analytics

A Roadmap for Analyzing Data

Statistical Applications in Quality Management

Decision Making

Filters

Exam 13: Simple Linear Regression