Question 1

What is the proportion of explained variation called? ________________

Accepted Answer

Coefficien

Question 2

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   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   and the confidence interval uses r. 
D)  no difference.

Question 3

What is the direction of a regression line if its slope equals zero, indicating a lack of a relationship? ____________________

Accepted Answer

The answer of What is the direction of a regression...

Question 4

Using the following information:     The regression analysis can be summarized as follows:

Accepted Answer

A)  No significant relationship between the variables 
B)  A significant negative relationship exists between the variables 
C)  A significant positive relationship exists between the variables 
D)  For every unit increase in X, Y decreases by 12.8094 
A)  No significant relationship between the variables 
B)  A significant negative relationship exists between the variables 
C)  A significant positive relationship exists between the variables 
D)  For every unit increase in X, Y decreases by 12.8094

Question 5

If the correlation coefficient between two variables equals zero, what can be said of the variables X and Y?

Accepted Answer

A)  Not related 
B)  Dependent on each other 
C)  Highly related 
D)  X causes Y 
A)  Not related 
B)  Dependent on each other 
C)  Highly related 
D)  X causes Y

Question 6

What type of correlation designates an inverse relationship between two variables? ___________________

Accepted Answer

The answer of What type of correlation designates an inverse...

Question 7

High school students were interested in a teacher's claim that 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.  
 To test the null hypothesis that the slope is zero, what are the t-test statistic and the t-critical value using the 0.05 significance level?

Accepted Answer

The answer of High school students were interested in a...

Question 8

What is the range of values for a coefficient of correlation?

Accepted Answer

A)  0 to +1.0 
B)  -3 to +3 inclusive 
C)  -1.0 to +1.0 inclusive 
D)  Unlimited range 
A)  0 to +1.0 
B)  -3 to +3 inclusive 
C)  -1.0 to +1.0 inclusive 
D)  Unlimited range

Question 9

The regression equation is Ŷ = 29.29 - 0.96X, the sample size is 8, and the standard error of the slope is 0.22. What is the test statistic to test the significance of the slope?

Accepted Answer

A)  z = -4.364 
B)  z = 4.364 
C)  t = -4.364 
D)  t = -0.96 
A)  z = -4.364 
B)  z = 4.364 
C)  t = -4.364 
D)  t = -0.96

Question 10

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

The answer of A company wants to study the effect...

Question 11

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

Accepted Answer

A)  9.3104 
B)  0.9754 
C)  0.6319 
D)  0.9513 
A)  9.3104 
B)  0.9754 
C)  0.6319 
D)  0.9513

Question 12

In the equation Ŷ = a + bX, what is Ŷ?

Accepted Answer

A)  Slope of the line 
B)  Y intercept 
C)  Predicted value of Y, given a specific X value 
D)  Value of Y when X = 0 
A)  Slope of the line 
B)  Y intercept 
C)  Predicted value of Y, given a specific X value 
D)  Value of Y when X = 0

Question 13

An assumption of linear regression states that for each value of X, there is a group of Y values that are statistically __________________ and normally distributed about the regression line.

Accepted Answer

The answer of An assumption of linear regression states that...

Question 14

What is the general form of the regression equation? _____________

Accepted Answer

The answer of What is the general form of the...

Question 15

Given the least squares regression equation, Ŷ = 1,202 + 1,133X, when X = 3, what does Ŷ equal?

Accepted Answer

A)  5,734 
B)  8,000 
C)  4,601 
D)  4,050 
A)  5,734 
B)  8,000 
C)  4,601 
D)  4,050

Question 16

Using the following regression analysis.   What is the residual sum of squares?

Accepted Answer

The answer of Using the following regression analysis.  ...

Question 17

A sales manager for an advertising agency believes that there is a relationship between the number of contacts that a sales person makes and the amount of the 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)  0.9513 
D)  9.3104 
A)  0.6317 
B)  0.9754 
C)  0.9513 
D)  9.3104

Question 18

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

Accepted Answer

A) True 
 B)False

Question 19

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 prediction interval has a higher level of confidence. 
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 prediction interval has a higher level of confidence.

Question 20

If the correlation between two variables is close to one, the association is

Accepted Answer

A)  significant. 
B)  moderate. 
C)  insignificant. 
D)  none. 
A)  significant. 
B)  moderate. 
C)  insignificant. 
D)  none.

What is the proportion of explained variation called? ________________

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

What is the direction of a regression line if its slope equals zero, indicating a lack of a relationship? ____________________

Using the following information: The regression analysis can be summarized as follows:

If the correlation coefficient between two variables equals zero, what can be said of the variables X and Y?

What type of correlation designates an inverse relationship between two variables? ___________________

What is the range of values for a coefficient of correlation?

The regression equation is Ŷ = 29.29 - 0.96X, the sample size is 8, and the standard error of the slope is 0.22. What is the test statistic to test the significance of the slope?

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? ______________

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

In the equation Ŷ = a + bX, what is Ŷ?

An assumption of linear regression states that for each value of X, there is a group of Y values that are statistically __________________ and normally distributed about the regression line.

What is the general form of the regression equation? _____________

Given the least squares regression equation, Ŷ = 1,202 + 1,133X, when X = 3, what does Ŷ equal?

Using the following regression analysis. What is the residual sum of squares?

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

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

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

If the correlation between two variables is close to one, the association is

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

Index Numbers

Time Series and Forecasting

Nonparametric Methods: Goodness-Of-Fit Tests

Nonparametric Methods: Analysis of Ranked Data

Statistical Process Control and Quality Management

An Introduction to Decision Theory

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Exam 13: Correlation and Linear Regression

What is the proportion of explained variation called? ________________

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

What is the direction of a regression line if its slope equals zero, indicating a lack of a relationship? ____________________

Using the following information: The regression analysis can be summarized as follows:

If the correlation coefficient between two variables equals zero, what can be said of the variables X and Y?

What type of correlation designates an inverse relationship between two variables? ___________________

What is the range of values for a coefficient of correlation?

The regression equation is Ŷ = 29.29 - 0.96X, the sample size is 8, and the standard error of the slope is 0.22. What is the test statistic to test the significance of the slope?

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? ______________

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

In the equation Ŷ = a + bX, what is Ŷ?

An assumption of linear regression states that for each value of X, there is a group of Y values that are statistically __________________ and normally distributed about the regression line.

What is the general form of the regression equation? _____________

Given the least squares regression equation, Ŷ = 1,202 + 1,133X, when X = 3, what does Ŷ equal?

Using the following regression analysis. What is the residual sum of squares?

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

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

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

If the correlation between two variables is close to one, the association is

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

Index Numbers

Time Series and Forecasting

Nonparametric Methods: Goodness-Of-Fit Tests

Nonparametric Methods: Analysis of Ranked Data

Statistical Process Control and Quality Management

An Introduction to Decision Theory

Filters