Question 1

In regression, the difference between the confidence interval and prediction interval formulas is ________________.

Accepted Answer

A)  the prediction interval is the square root of the confidence interval 
B)  the addition of "1" to the quantity under the radical sign 
C)  the prediction interval uses r2 and the confidence interval uses r 
D)  no difference. 
A)  the prediction interval is the square root of the confidence interval 
B)  the addition of "1" to the quantity under the radical sign 
C)  the prediction interval uses r2 and the confidence interval uses r 
D)  no difference.

Question 2

Using the following regression analysis:   What is the regression mean square?

Accepted Answer

7723.278
Explanation: The regression mea

Question 3

An economist is interested in predicting the unemployment rate based on gross domestic product. Since the economist is interested in predicting unemployment, the independent variable is gross domestic product.

Accepted Answer

A) True 
 B)False

Question 4

In the regression equation, what does the letter "b" represent?

Accepted Answer

A)  The Y-intercept 
B)  The slope of the line 
C)  Any value of the independent variable that is selected 
D)  The value of Y when X = 0 
A)  The Y-intercept 
B)  The slope of the line 
C)  Any value of the independent variable that is selected 
D)  The value of Y when X = 0

Question 5

High school students were interested in a teacher's claim that the longer the length of time (hours) that a student studies for a test, the higher the test score. The students collected the data and the teacher did the regression analysis with the following results.   Write the regression equation in terms of the independent and dependent variables.

Accepted Answer

Test score = 46.024 + 2.134(ho

Question 6

A sales manager for an advertising agency believes that there is a relationship between the number of contacts that a salesperson makes and the amount of sales dollars earned. A regression ANOVA shows the following results:   What is the value of the standard error of estimate?

Accepted Answer

A)  9.310 
B)  8.778 
C)  8.328 
D)  86.68 
A)  9.310 
B)  8.778 
C)  8.328 
D)  86.68

Question 7

The coefficient of determination is the square root of the coefficient of correlation.

Accepted Answer

A) True 
 B)False

Question 8

What does the coefficient of determination equal if r = 0.89?

Accepted Answer

A)  0.9412 
B)  0.0121 
C)  0.7921 
D)  0.1100 
A)  0.9412 
B)  0.0121 
C)  0.7921 
D)  0.1100

Question 9

A company wants to study the effect of an employee's length of employment on their number of workdays absent. The results of the regression analysis follow.   What is the Y-intercept of the linear equation?

Accepted Answer

7.741
Explanation: The value o

Question 10

In regression analysis, error is defined as   .

Accepted Answer

A) True 
 B)False

Question 11

The standard error of estimate measures the accuracy of a prediction.

Accepted Answer

A) True 
 B)False

Question 12

Consider a regression analysis, where the correlation coefficient is 0.18. Then, the coefficient of determination is _______.

Accepted Answer

A)  0.36 
B)  0.0324 
C)  0.424 
D)  1.16 
A)  0.36 
B)  0.0324 
C)  0.424 
D)  1.16

Question 13

If the slope of a regression line is zero, the orientation of the regression line is _________, which indicates a lack of a relationship.

Accepted Answer

The answer of If the slope of a regression line...

Question 14

A random sample of 15 recent home sales was selected to test the hypothesis that the area of a home, in square feet, and the selling price are positively correlated. The rejection region will fall in the ________ tail of a t distribution.

Accepted Answer

The answer of A random sample of 15 recent home...

Question 15

A sales manager for an advertising agency believes that there is a relationship between the number of contacts that a salesperson makes and the amount of sales dollars earned. A regression ANOVA shows the following results:   What is the value of the coefficient of correlation?

Accepted Answer

A)  +0.6317 
B)  +0.9754 
C)  -0.9754 
D)  +0.9513 
A)  +0.6317 
B)  +0.9754 
C)  -0.9754 
D)  +0.9513

Question 16

High school students were interested in a teacher's claim that the longer the length of time (hours) that a student studies for a test, the higher the test score. The students collected the data and the teacher did the regression analysis with the following results.   What is the coefficient of determination?

Accepted Answer

0.410
Explanation: The coefficient of de

Question 17

What is the variable used to predict another variable called?

Accepted Answer

A)  Independent variable 
B)  Dependent variable 
C)  Important variable 
D)  Causal variable 
A)  Independent variable 
B)  Dependent variable 
C)  Important variable 
D)  Causal variable

Question 18

What is the purpose of measuring correlation?

Accepted Answer

To provide a measure

Question 19

What is the null hypothesis to test the significance of the slope in a regression equation?

Accepted Answer

A)  H0: β = 0 
B)  H0: β ≠ 0 
C)  H0: β ≤ 0 
D)  H0: β ≥ 0 
A)  H0: β = 0 
B)  H0: β ≠ 0 
C)  H0: β ≤ 0 
D)  H0: β ≥ 0

Question 20

Approximately ______% of the observations lies within two standard errors of the regression line.

Accepted Answer

The answer of Approximately ______% of the observations lies within...

In regression, the difference between the confidence interval and prediction interval formulas is ________________.

Using the following regression analysis: What is the regression mean square?

An economist is interested in predicting the unemployment rate based on gross domestic product. Since the economist is interested in predicting unemployment, the independent variable is gross domestic product.

In the regression equation, what does the letter "b" represent?

A sales manager for an advertising agency believes that there is a relationship between the number of contacts that a salesperson makes and the amount of sales dollars earned. A regression ANOVA shows the following results: What is the value of the standard error of estimate?

The coefficient of determination is the square root of the coefficient of correlation.

What does the coefficient of determination equal if r = 0.89?

A company wants to study the effect of an employee's length of employment on their number of workdays absent. The results of the regression analysis follow. What is the Y-intercept of the linear equation?

In regression analysis, error is defined as .

The standard error of estimate measures the accuracy of a prediction.

Consider a regression analysis, where the correlation coefficient is 0.18. Then, the coefficient of determination is _______.

If the slope of a regression line is zero, the orientation of the regression line is _________, which indicates a lack of a relationship.

A random sample of 15 recent home sales was selected to test the hypothesis that the area of a home, in square feet, and the selling price are positively correlated. The rejection region will fall in the ________ tail of a t distribution.

A sales manager for an advertising agency believes that there is a relationship between the number of contacts that a salesperson makes and the amount of sales dollars earned. A regression ANOVA shows the following results: What is the value of the coefficient of correlation?

What is the variable used to predict another variable called?

What is the purpose of measuring correlation?

What is the null hypothesis to test the significance of the slope in a regression equation?

Approximately ______% of the observations lies within two standard errors of the regression line.

What Is Statistics

Describing Data: Frequency Tables, Frequency Distributions, and Graphic Presentation

Describing Data: Numerical Measures

Describing Data: Displaying and Exploring Data

A Survey of Probability Concepts

Discrete Probability Distributions

Continuous Probability Distributions

Sampling Methods and the Central Limit Theorem

Estimation and Confidence Intervals

One-Sample Tests of Hypothesis

Two-Sample Tests of Hypothesis

Analysis of Variance

Multiple Regression Analysis

Nonparametric Methods: Nominal Level Hypothesis Tests

Nonparametric Methods: Analysis of Ordinal Data

Index Numbers

Time Series and Forecasting

Statistical Process Control and Quality Management

An Introduction to Decision Theory

Filters

Exam 13: Correlation and Linear Regression

In regression, the difference between the confidence interval and prediction interval formulas is ________________.

Using the following regression analysis: What is the regression mean square?

An economist is interested in predicting the unemployment rate based on gross domestic product. Since the economist is interested in predicting unemployment, the independent variable is gross domestic product.

In the regression equation, what does the letter "b" represent?

A sales manager for an advertising agency believes that there is a relationship between the number of contacts that a salesperson makes and the amount of sales dollars earned. A regression ANOVA shows the following results: What is the value of the standard error of estimate?

The coefficient of determination is the square root of the coefficient of correlation.

What does the coefficient of determination equal if r = 0.89?

A company wants to study the effect of an employee's length of employment on their number of workdays absent. The results of the regression analysis follow. What is the Y-intercept of the linear equation?

In regression analysis, error is defined as .

The standard error of estimate measures the accuracy of a prediction.

Consider a regression analysis, where the correlation coefficient is 0.18. Then, the coefficient of determination is _______.

If the slope of a regression line is zero, the orientation of the regression line is _________, which indicates a lack of a relationship.

A random sample of 15 recent home sales was selected to test the hypothesis that the area of a home, in square feet, and the selling price are positively correlated. The rejection region will fall in the ________ tail of a t distribution.

A sales manager for an advertising agency believes that there is a relationship between the number of contacts that a salesperson makes and the amount of sales dollars earned. A regression ANOVA shows the following results: What is the value of the coefficient of correlation?

What is the variable used to predict another variable called?

What is the purpose of measuring correlation?

What is the null hypothesis to test the significance of the slope in a regression equation?

Approximately ______% of the observations lies within two standard errors of the regression line.

What Is Statistics

Describing Data: Frequency Tables, Frequency Distributions, and Graphic Presentation

Describing Data: Numerical Measures

Describing Data: Displaying and Exploring Data

A Survey of Probability Concepts

Discrete Probability Distributions

Continuous Probability Distributions

Sampling Methods and the Central Limit Theorem

Estimation and Confidence Intervals

One-Sample Tests of Hypothesis

Two-Sample Tests of Hypothesis

Analysis of Variance

Multiple Regression Analysis

Nonparametric Methods: Nominal Level Hypothesis Tests

Nonparametric Methods: Analysis of Ordinal Data

Index Numbers

Time Series and Forecasting

Statistical Process Control and Quality Management

An Introduction to Decision Theory

Filters