Question 1

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

Accepted Answer

A)  Strong 
B)  Moderate 
C)  Weak 
D)  Zero 
A)  Strong 
B)  Moderate 
C)  Weak 
D)  Zero

Question 2

What does a coefficient of correlation of 0.70 infer?

Accepted Answer

A)  There is almost no correlation because 0.70 is close to 1.0. 
B)  70% of the variation in one variable is explained by the other variable. 
C)  The coefficient of determination is 0.49. 
D)  The coefficient of nondetermination is 0.30. 
A)  There is almost no correlation because 0.70 is close to 1.0. 
B)  70% of the variation in one variable is explained by the other variable. 
C)  The coefficient of determination is 0.49. 
D)  The coefficient of nondetermination is 0.30.

Question 3

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 analysis shows the following results:   What is the decision regarding the hypothesis if the slope equals zero?

Accepted Answer

A)  Fail to reject the null hypothesis. 
B)  Fail to reject the alternative hypothesis. 
C)  Reject the null hypothesis. 
D)  Reject the alternative hypothesis. 
A)  Fail to reject the null hypothesis. 
B)  Fail to reject the alternative hypothesis. 
C)  Reject the null hypothesis. 
D)  Reject the alternative hypothesis.

Question 4

Which of the following is true about the standard error of estimate?

Accepted Answer

A)  It is a measure of the accuracy of the prediction. 
B)  It is based on squared vertical deviations between Y and X. 
C)  It can be negative. 
D)  It is calculated using the regression mean square. 
A)  It is a measure of the accuracy of the prediction. 
B)  It is based on squared vertical deviations between Y and X. 
C)  It can be negative. 
D)  It is calculated using the regression mean square.

Question 5

The proportion of explained variation is called the _______________.

Accepted Answer

coefficien

Question 6

Using the following information:   The regression equation is _______.

Accepted Answer

A)  Ŷ = 2.1794 - 12.8094X 
B)  Ŷ = -12.80894 + 2.1794X 
C)  12.8094 X = 2.1794 Ŷ 
D)  X = -12.8094 + 2.1794 Ŷ 
A)  Ŷ = 2.1794 - 12.8094X 
B)  Ŷ = -12.80894 + 2.1794X 
C)  12.8094 X = 2.1794 Ŷ 
D)  X = -12.8094 + 2.1794 Ŷ

Question 7

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 analysis shows the following results:   What is the regression equation?

Accepted Answer

A)  	-12.201 
B)  	2.195 
C)  	-1.860 
D)  	12.505 
A)  	-12.201 
B)  	2.195 
C)  	-1.860 
D)  	12.505

Question 8

If the sample correlation coefficient, r, is -0.96, the dependent variable ________ as the independent variable increases.

Accepted Answer

The answer of If the sample correlation coefficient, r, is...

Question 9

A regression analysis yields the following information:   ; n = 10; sy∙x = 1.66; ΣX = 32; ΣX2 = 134;   Compute the 95% prediction interval when X = 4.

Accepted Answer

A)  0.0, 4.05 
B)  2.67, 5.33 
C)  4.118, 12.226 
D)  6.873, 9.527 
A)  0.0, 4.05 
B)  2.67, 5.33 
C)  4.118, 12.226 
D)  6.873, 9.527

Question 10

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.   If a student studies 10 hours, what is the predicted score?

Accepted Answer

67.364
Explanation: Given that

Question 11

The coefficient of determination is the proportion of total variation in Y that is explained by X.

Accepted Answer

A) True 
 B)False

Question 12

In regression analysis, what is the predictor variable called?

Accepted Answer

A)  Independent variable 
B)  Dependent variable 
C)  Correlation variable 
D)  Variable of determination 
A)  Independent variable 
B)  Dependent variable 
C)  Correlation variable 
D)  Variable of determination

Question 13

The best model to describe a linear relationship between two variables is the _______________________.

Accepted Answer

The answer of The best model to describe a linear...

Question 14

Perfect correlation means that the scatter diagram will appear as a _____________.

Accepted Answer

The answer of Perfect correlation means that the scatter diagram...

Question 15

If the coefficient of correlation is -0.81, the coefficient of determination is ______.

Accepted Answer

The answer of If the coefficient of correlation is -0.81,...

Question 16

One assumption underlying linear regression is that the X values are normally distributed.

Accepted Answer

A) True 
 B)False

Question 17

If we reject the null hypothesis, H0:   , what can we conclude about the population correlation coefficient?

Accepted Answer

A)  It is zero. 
B)  It could be zero. 
C)  It is not zero. 
D)  It equals the computed sample correlation. 
A)  It is zero. 
B)  It could be zero. 
C)  It is not zero. 
D)  It equals the computed sample correlation.

Question 18

A company wants to study the effect of an employee's length of employment on their number of workdays absent. The company collected the following information on a random sample of seven employees.   What is the dependent variable (Y)?

Accepted Answer

Number of workdays absent
Explanation: T

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

What does a coefficient of correlation of 0.70 infer?

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 analysis shows the following results: What is the decision regarding the hypothesis if the slope equals zero?

Which of the following is true about the standard error of estimate?

The proportion of explained variation is called the _______________.

Using the following information: The regression equation is _______.

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 analysis shows the following results: What is the regression equation?

If the sample correlation coefficient, r, is -0.96, the dependent variable ________ as the independent variable increases.

A regression analysis yields the following information: ; n = 10; s_y_∙_x = 1.66; ΣX = 32; ΣX² = 134; Compute the 95% prediction interval when X = 4.

The coefficient of determination is the proportion of total variation in Y that is explained by X.

In regression analysis, what is the predictor variable called?

The best model to describe a linear relationship between two variables is the _______________________.

Perfect correlation means that the scatter diagram will appear as a _____________.

If the coefficient of correlation is -0.81, the coefficient of determination is ______.

One assumption underlying linear regression is that the X values are normally distributed.

If we reject the null hypothesis, H₀: , what can we conclude about the population correlation coefficient?

A company wants to study the effect of an employee's length of employment on their number of workdays absent. The company collected the following information on a random sample of seven employees. What is the dependent variable (Y)?

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

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

What does a coefficient of correlation of 0.70 infer?

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 analysis shows the following results: What is the decision regarding the hypothesis if the slope equals zero?

Which of the following is true about the standard error of estimate?

The proportion of explained variation is called the _______________.

Using the following information: The regression equation is _______.

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 analysis shows the following results: What is the regression equation?

If the sample correlation coefficient, r, is -0.96, the dependent variable ________ as the independent variable increases.

A regression analysis yields the following information: ; n = 10; sy∙x = 1.66; ΣX = 32; ΣX2 = 134; Compute the 95% prediction interval when X = 4.

The coefficient of determination is the proportion of total variation in Y that is explained by X.

In regression analysis, what is the predictor variable called?

The best model to describe a linear relationship between two variables is the _______________________.

Perfect correlation means that the scatter diagram will appear as a _____________.

If the coefficient of correlation is -0.81, the coefficient of determination is ______.

One assumption underlying linear regression is that the X values are normally distributed.

If we reject the null hypothesis, H0: , what can we conclude about the population correlation coefficient?

A company wants to study the effect of an employee's length of employment on their number of workdays absent. The company collected the following information on a random sample of seven employees. What is the dependent variable (Y)?

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

A regression analysis yields the following information: ; n = 10; s_y_∙_x = 1.66; ΣX = 32; ΣX² = 134; Compute the 95% prediction interval when X = 4.

If we reject the null hypothesis, H₀: , what can we conclude about the population correlation coefficient?