Question 1

The hypothesis to test the slope of a regression equation is H0: $\alpha$ = 0.

Accepted Answer

A) True 
 B)False

Question 2

What principle minimizes the sum of the squares of the vertical deviations about the line? _______________

Accepted Answer

Least squa

Question 3

A confidence interval can be determined for the mean value of Y for a given value of X.

Accepted Answer

A) True 
 B)False

Question 4

Using the following regression analysis.   What is the residual mean square?

Accepted Answer

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

Question 5

What is the value of the correlation coefficient if there is perfect correlation? ___________

Accepted Answer

The answer of What is the value of the correlation...

Question 6

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

Accepted Answer

A)  Y intercept 
B)  Slope of the line 
C)  The independent variable 
D)  The dependent variable 
A)  Y intercept 
B)  Slope of the line 
C)  The independent variable 
D)  The dependent variable

Question 7

Which value of r indicates a stronger correlation than 0.40?

Accepted Answer

A)  -0.30 
B)  -0.50 
C)  +0.38 
D)  0 
A)  -0.30 
B)  -0.50 
C)  +0.38 
D)  0

Question 8

A scatter diagram is a graph that portrays the correlation between a dependent variable and an independent variable.

Accepted Answer

A) True 
 B)False

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 standard error of estimate? _____________

Accepted Answer

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

Question 10

What is the variable used to predict the value of another 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 11

Which of the following are true assumptions underlying linear regression? 1) For each value of X, there is a group of Y values which is normally distributed. 2) The means of these normal distributions of Y values all lie on the regression line. 3) The standard deviations of these normal distributions are equal.

Accepted Answer

A)  Only (1) 
B)  Only (2) 
C)  Only (3) 
D)  All of them 
A)  Only (1) 
B)  Only (2) 
C)  Only (3) 
D)  All of them

Question 12

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.   What is the coefficient of determination?

Accepted Answer

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

Question 13

Using the following information:     Estimate the value of Ŷ when X = 4.

Accepted Answer

A)  10.45 
B)  3.73 
C)  8.718 
D)  -4.091 
A)  10.45 
B)  3.73 
C)  8.718 
D)  -4.091

Question 14

Assume the least squares equation is Ŷ = 10 + 20X. What does the value of 10 in the equation indicate?

Accepted Answer

A)  Y intercept 
B)  X increases by 10 for each unit increase in Y 
C)  Y increases by 10, for each unit increase in X 
D)  Error 
A)  Y intercept 
B)  X increases by 10 for each unit increase in Y 
C)  Y increases by 10, for each unit increase in X 
D)  Error

Question 15

Using the following regression analysis.   What is the t test statistic to test the significance of the slope?

Accepted Answer

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

Question 16

In regression analysis, error is defined as (   - Y).

Accepted Answer

A) True 
 B)False

Question 17

Based on the regression equation, we can

Accepted Answer

A)  predict the value of the dependent variable given a value of the independent variable. 
B)  predict the value of the independent variable given a value of the dependent variable. 
C)  measure the association between two variables. 
D)  measure cause and effect. 
A)  predict the value of the dependent variable given a value of the independent variable. 
B)  predict the value of the independent variable given a value of the dependent variable. 
C)  measure the association between two variables. 
D)  measure cause and effect.

Question 18

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.   What is the regression mean square?

Accepted Answer

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

Question 19

If the value of r is -0.96, what does this indicate about the dependent variable as the independent variable increases? ___________

Accepted Answer

The answer of If the value of r is -0.96,...

Question 20

What are the degrees of freedom used to test the significance of the slope in a regression equation?

Accepted Answer

A)  n - 1 
B)  n - 2 
C)  n - 1, n - 2 
D)  (n - 1)(n - 2) 
A)  n - 1 
B)  n - 2 
C)  n - 1, n - 2 
D)  (n - 1)(n - 2)

The hypothesis to test the slope of a regression equation is H₀: $\alpha$ = 0.

What principle minimizes the sum of the squares of the vertical deviations about the line? _______________

A confidence interval can be determined for the mean value of Y for a given value of X.

Using the following regression analysis. What is the residual mean square?

What is the value of the correlation coefficient if there is perfect correlation? ___________

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

Which value of r indicates a stronger correlation than 0.40?

A scatter diagram is a graph that portrays the correlation between a dependent variable and an independent variable.

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 standard error of estimate? _____________

What is the variable used to predict the value of another called?

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. What is the coefficient of determination?

Using the following information: Estimate the value of Ŷ when X = 4.

Assume the least squares equation is Ŷ = 10 + 20X. What does the value of 10 in the equation indicate?

Using the following regression analysis. What is the t test statistic to test the significance of the slope?

In regression analysis, error is defined as ( - Y).

Based on the regression equation, we can

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. What is the regression mean square?

If the value of r is -0.96, what does this indicate about the dependent variable as the independent variable increases? ___________

What are the degrees of freedom used to test the significance of the slope in a regression equation?

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

Exam 13: Correlation and Linear Regression

The hypothesis to test the slope of a regression equation is H0: α\alphaα = 0.

What principle minimizes the sum of the squares of the vertical deviations about the line? _______________

A confidence interval can be determined for the mean value of Y for a given value of X.

Using the following regression analysis. What is the residual mean square?

What is the value of the correlation coefficient if there is perfect correlation? ___________

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

Which value of r indicates a stronger correlation than 0.40?

A scatter diagram is a graph that portrays the correlation between a dependent variable and an independent variable.

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 standard error of estimate? _____________

What is the variable used to predict the value of another called?

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. What is the coefficient of determination?

Using the following information: Estimate the value of Ŷ when X = 4.

Assume the least squares equation is Ŷ = 10 + 20X. What does the value of 10 in the equation indicate?

Using the following regression analysis. What is the t test statistic to test the significance of the slope?

In regression analysis, error is defined as ( - Y).

Based on the regression equation, we can

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. What is the regression mean square?

If the value of r is -0.96, what does this indicate about the dependent variable as the independent variable increases? ___________

What are the degrees of freedom used to test the significance of the slope in a regression equation?

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

The hypothesis to test the slope of a regression equation is H₀: $\alpha$ = 0.