Question 1

Given the following five points: (-2,0), (-1,0), (0,1), (1,1), and (2,3). What is the Y intercept?

Accepted Answer

A)  0.0 
B)  0.7 
C)  1.0 
D)  1.5 
E)  None of the choices are correct 
A)  0.0 
B)  0.7 
C)  1.0 
D)  1.5 
E)  None of the choices are correct

Question 2

A sales manager for an advertising agency believes there is a relationship between the number of contacts and the amount of the sales. To verify this believe, the following data was collected:     The 95% prediction interval for a particular person making 30 calls is:

Accepted Answer

A)  55.8, 51.5 
B)  51.4, 55.9 
C)  46.7, 60.6 
D)  31.1, 76.2 
E)  None of the choices are correct 
A)  55.8, 51.5 
B)  51.4, 55.9 
C)  46.7, 60.6 
D)  31.1, 76.2 
E)  None of the choices are correct

Question 3

What is the independent variable?

Accepted Answer

A)  Salesperson 
B)  Number of contacts 
C)  Amount of sales 
D)  All the choices are correct 
E)  None of the choices are correct 
A)  Salesperson 
B)  Number of contacts 
C)  Amount of sales 
D)  All the choices are correct 
E)  None of the choices are correct

Question 4

-What is the standard error of estimate?____________

Accepted Answer

The answer of  
-What is the standard error of...

Question 5

When comparing the 95% confidence and prediction intervals for a given regression analysis,

Accepted Answer

A)  the confidence interval is wider than a prediction interval 
B)  the confidence interval is narrower than a prediction interval 
C)  there is no difference between confidence and prediction intervals 
D)  the sample size determines the difference 
E)  None of these statements are correct 
A)  the confidence interval is wider than a prediction interval 
B)  the confidence interval is narrower than a prediction interval 
C)  there is no difference between confidence and prediction intervals 
D)  the sample size determines the difference 
E)  None of these statements are correct

Question 6

We have collected price per share and dividend information from a sample of 30 companies.   
The slope in this instance indicates:

Accepted Answer

A)  For each additional dollar in stock price, we can anticipate an additional $2.73 in dividend 
B)  For each additional dollar in stock price, we can anticipate an additional $3.68 in dividend 
C)  For each additional dollar in stock price, we can anticipate an additional $0.27 in dividend 
D)  For each additional dollar in dividend, we can anticipate an additional $2.71 in stock price 
E)  For each additional dollar in dividend, we can anticipate a drop of $3.68 in stock price 
A)  For each additional dollar in stock price, we can anticipate an additional $2.73 in dividend 
B)  For each additional dollar in stock price, we can anticipate an additional $3.68 in dividend 
C)  For each additional dollar in stock price, we can anticipate an additional $0.27 in dividend 
D)  For each additional dollar in dividend, we can anticipate an additional $2.71 in stock price 
E)  For each additional dollar in dividend, we can anticipate a drop of $3.68 in stock price

Question 7

i. Perfect correlation means that the scatter diagram will appear as a straight line ii. If the coefficient of correlation is 0.80, the coefficient of determination is 0.64. 
iii. The coefficient of determination can assume values between 0% and 100%

Accepted Answer

A)  (i), (ii) and (iii) are all correct statements 
B)  (i) and (ii) are correct statements, but not (iii). 
C)  (i) and (iii) are correct statements but not (ii). 
D)  (ii) and (iii) are correct statements but not (i). 
E)  All statements are false 
A)  (i), (ii) and (iii) are all correct statements 
B)  (i) and (ii) are correct statements, but not (iii). 
C)  (i) and (iii) are correct statements but not (ii). 
D)  (ii) and (iii) are correct statements but not (i). 
E)  All statements are false

Question 8

The partial megastat output below is regression analysis of the relationship between annual payroll and number of wins in a season for 28 teams in professional sports. The purpose of the analysis
Is to predict the number of wins when given an annual payroll in $millions. Although technically not a sample, the baseball data below will be treated as a convenience sample of all major league professional sports.   Refer to the printout above. How many independent variables?

Accepted Answer

A)  1 
B)  2 
C)  26 
D)  27 
E)  28 
A)  1 
B)  2 
C)  26 
D)  27 
E)  28

Question 9

i. Trying to predict weekly sales with a standard error of estimate of $1,955, we would conclude that 68 percent of the predictions would not be off more than $1,955, 95 percent would not be off by more
$3,910, and 99.7 percent would not be off by more than $5,865. T6
Ii) The smaller the sample, the smaller the possible error as measured by the standard error of estimate. F6
Iii) Approximately 95% of the values lie within two standard errors of the regression line.

Accepted Answer

A)  (i), (ii) and (iii) are all correct statements 
B)  (i) and (ii) are correct statements, but not (iii). 
C)  (i) and (iii) are correct statements but not (ii). 
D)  (ii) and (iii) are correct statements but not (i). 
E)  All statements are false 
A)  (i), (ii) and (iii) are all correct statements 
B)  (i) and (ii) are correct statements, but not (iii). 
C)  (i) and (iii) are correct statements but not (ii). 
D)  (ii) and (iii) are correct statements but not (i). 
E)  All statements are false

Question 10

A regression analysis yields the following information: Y' = 2.24 + 1.49 X S y x = 1.66; ∑x = 32; ∑x2 = 134; n = 10
Compute the 95% confidence interval when X = 4.

Accepted Answer

A)  0.0, 4.05 
B)  4.15, 12.25 
C)  2.67, 5.33 
D)  6.87, 9.53 
A)  0.0, 4.05 
B)  4.15, 12.25 
C)  2.67, 5.33 
D)  6.87, 9.53

Question 11

i. If there is absolutely no relationship between two variables, what will Pearson's r equal? ii. If the value of r is -0.96, what does this indicate about the dependent variable as the independent variable increases?
Iii) What is the value of the correlation coefficient if there is perfect correlation?

Accepted Answer

A)  one (1); decreases; zero (0) 
B)  one (1); increases; zero (0) 
C)  zero (0); decreases; +/- 1.0 
D)  zero (0); increases; +/- 1.0 
E)  +/- 1.0; nothing; +/- 1.0 
A)  one (1); decreases; zero (0) 
B)  one (1); increases; zero (0) 
C)  zero (0); decreases; +/- 1.0 
D)  zero (0); increases; +/- 1.0 
E)  +/- 1.0; nothing; +/- 1.0

Question 12

-What is the Y intercept of the linear equation?____________

Accepted Answer

The answer of  
-What is the Y intercept of...

Question 13

Information was collected from employee records to determine whether there is an association between an employee's age and the number or workdays they miss. Excel results are summarized below:  
 From this printout you determine:

Accepted Answer

A)  When tested at the 2% level of significance, there is no relationship between an employee's age and the number of days of work absences 
B)  For each additional year of age, we can expect the number of days of absence to increase by 0.45 days 
C)  Almost 53% of the variation in the number of absent days can be explained by the variation in the employees ages 
D)  A & B are true 
E)  A & C are true 
A)  When tested at the 2% level of significance, there is no relationship between an employee's age and the number of days of work absences 
B)  For each additional year of age, we can expect the number of days of absence to increase by 0.45 days 
C)  Almost 53% of the variation in the number of absent days can be explained by the variation in the employees ages 
D)  A & B are true 
E)  A & C are true

Question 14

What is the coefficient of determination?

Accepted Answer

A)  91.8% 
B)  8.2% 
C)  90.0% 
D)  Cannot be computed 
A)  91.8% 
B)  8.2% 
C)  90.0% 
D)  Cannot be computed

Question 15

i. A coefficient of correlation r close to 0 (say, 0.08) shows that the relationship between two variables is quite weak.
Ii) A coefficient of correlation of -0.96 indicates a very weak negative correlation. 
iii. The coefficient of determination can only be positive.

Accepted Answer

A)  (i), (ii) and (iii) are all correct statements 
B)  (i) and (ii) are correct statements, but not (iii). 
C)  (i) and (iii) are correct statements but not (ii). 
D)  (ii) and (iii) are correct statements but not (i). 
E)  All statements are false 
A)  (i), (ii) and (iii) are all correct statements 
B)  (i) and (ii) are correct statements, but not (iii). 
C)  (i) and (iii) are correct statements but not (ii). 
D)  (ii) and (iii) are correct statements but not (i). 
E)  All statements are false

Question 16

Given the scatter diagram below, that shows the number of workdays absent per year based on the age of the employees, which of the following statements are true?

Accepted Answer

A)  There is clearly no relationship whatsoever between an employee's age and the number of workday absences that they take. 
B)  There is a single but strong outlier in this data set. 
C)  There appears to be an inverse relationship between the two variables 
D)  A & B are true 
E)  B & C are true 
A)  There is clearly no relationship whatsoever between an employee's age and the number of workday absences that they take. 
B)  There is a single but strong outlier in this data set. 
C)  There appears to be an inverse relationship between the two variables 
D)  A & B are true 
E)  B & C are true

Question 17

Using a 95% significance level, what is the critical value for the F-statistic?

Accepted Answer

A)  5.32 
B)  239 
C)  3.23 
D)  241 
A)  5.32 
B)  239 
C)  3.23 
D)  241

Question 18

i. The strength of the correlation between two variables depends on the sign of the coefficient of correlation.
Ii) A coefficient of correlation r close to 0 (say, 0.08) shows that the relationship between two variables is quite weak.
Iii) The coefficient of determination is found by taking the square root of the coefficient of correlation.

Accepted Answer

A)  (i), (ii) and (iii) are all correct statements 
B)  (i) and (ii) are correct statements, but not (iii). 
C)  (i) and (iii) are correct statements but not (ii). 
D)  (ii) is a correct statement but not (i) or (iii). 
E)  All statements are false 
A)  (i), (ii) and (iii) are all correct statements 
B)  (i) and (ii) are correct statements, but not (iii). 
C)  (i) and (iii) are correct statements but not (ii). 
D)  (ii) is a correct statement but not (i) or (iii). 
E)  All statements are false

Question 19

-What is the dependent variable (Y)?

Accepted Answer

The answer of  
-What is the dependent variable (Y)?...

Question 20

In correlation analysis, the independent variable is

Accepted Answer

A)  The variable that is scaled on the vertical axes. 
B)  The variable that is being predicted or estimated. 
C)  A variable that provides the basis for estimation. It is the predictor variable. 
D)  None of the above. 
A)  The variable that is scaled on the vertical axes. 
B)  The variable that is being predicted or estimated. 
C)  A variable that provides the basis for estimation. It is the predictor variable. 
D)  None of the above.

Given the following five points: (-2,0), (-1,0), (0,1), (1,1), and (2,3). What is the Y intercept?

A sales manager for an advertising agency believes there is a relationship between the number of contacts and the amount of the sales. To verify this believe, the following data was collected: The 95% prediction interval for a particular person making 30 calls is:

What is the independent variable?

-What is the standard error of estimate?____________

When comparing the 95% confidence and prediction intervals for a given regression analysis,

We have collected price per share and dividend information from a sample of 30 companies. The slope in this instance indicates:

i. Perfect correlation means that the scatter diagram will appear as a straight line ii. If the coefficient of correlation is 0.80, the coefficient of determination is 0.64. iii. The coefficient of determination can assume values between 0% and 100%

A regression analysis yields the following information: Y' = 2.24 + 1.49 X S y x = 1.66; ∑x = 32; ∑x2 = 134; n = 10 Compute the 95% confidence interval when X = 4.

-What is the Y intercept of the linear equation?____________

Information was collected from employee records to determine whether there is an association between an employee's age and the number or workdays they miss. Excel results are summarized below: From this printout you determine:

What is the coefficient of determination?

i. A coefficient of correlation r close to 0 (say, 0.08) shows that the relationship between two variables is quite weak. Ii) A coefficient of correlation of -0.96 indicates a very weak negative correlation. iii. The coefficient of determination can only be positive.

Given the scatter diagram below, that shows the number of workdays absent per year based on the age of the employees, which of the following statements are true?

Using a 95% significance level, what is the critical value for the F-statistic?

-What is the dependent variable (Y)?

In correlation analysis, the independent variable is

What Is Statistics

Describing Data: Frequency Distributions and Graphic Presentation

Describing Data: Numerical Measures

A Survey of Probability Concepts

Discrete Probability Distributions

The Normal Probability Distribution

Sampling Methods and the Central Limit Theorem

Estimation and Confidence Intervals

One-Sample Tests of a Hypothesis

Two-Sample Tests of Hypothesis

Analysis of Variance

Multiple Regression and Correlation Analysis

Chi-Square Applications for Nominal Data

Index Numbers

Time Series and Forecasting

An Introduction to Decision Theory

Filters

Exam 12: Linear Regression and Correlation

Given the following five points: (-2,0), (-1,0), (0,1), (1,1), and (2,3). What is the Y intercept?

A sales manager for an advertising agency believes there is a relationship between the number of contacts and the amount of the sales. To verify this believe, the following data was collected: The 95% prediction interval for a particular person making 30 calls is:

What is the independent variable?

-What is the standard error of estimate?____________

When comparing the 95% confidence and prediction intervals for a given regression analysis,

We have collected price per share and dividend information from a sample of 30 companies. The slope in this instance indicates:

i. Perfect correlation means that the scatter diagram will appear as a straight line ii. If the coefficient of correlation is 0.80, the coefficient of determination is 0.64. iii. The coefficient of determination can assume values between 0% and 100%

A regression analysis yields the following information: Y' = 2.24 + 1.49 X S y x = 1.66; ∑x = 32; ∑x2 = 134; n = 10 Compute the 95% confidence interval when X = 4.

-What is the Y intercept of the linear equation?____________

Information was collected from employee records to determine whether there is an association between an employee's age and the number or workdays they miss. Excel results are summarized below: From this printout you determine:

What is the coefficient of determination?

i. A coefficient of correlation r close to 0 (say, 0.08) shows that the relationship between two variables is quite weak. Ii) A coefficient of correlation of -0.96 indicates a very weak negative correlation. iii. The coefficient of determination can only be positive.

Given the scatter diagram below, that shows the number of workdays absent per year based on the age of the employees, which of the following statements are true?

Using a 95% significance level, what is the critical value for the F-statistic?

-What is the dependent variable (Y)?

In correlation analysis, the independent variable is

What Is Statistics

Describing Data: Frequency Distributions and Graphic Presentation

Describing Data: Numerical Measures

A Survey of Probability Concepts

Discrete Probability Distributions

The Normal Probability Distribution

Sampling Methods and the Central Limit Theorem

Estimation and Confidence Intervals

One-Sample Tests of a Hypothesis

Two-Sample Tests of Hypothesis

Analysis of Variance

Multiple Regression and Correlation Analysis

Chi-Square Applications for Nominal Data

Index Numbers

Time Series and Forecasting

An Introduction to Decision Theory

Filters