Question 1

Which of the following symbols is associated with the y-intercept in the regression equation?

Accepted Answer

A) X 
B) Y′ 
C) a 
D) b 
A) X 
B) Y′ 
C) a 
D) b

Question 2

Using the regression formula with a slope = 0.704 and an intercept = 0.719,what would the predicted college GPA be for a student whose current high school GPA = 4.2?

Accepted Answer

A) 3.68 
B) 2.97 
C) 3.00 
D) 3.20 
A) 3.68 
B) 2.97 
C) 3.00 
D) 3.20

Question 3

In linear regression,the outcome variable is called the criterion or dependent variable.

Accepted Answer

A) True 
 B)False

Question 4

Which of the following is the correct formula for linear regression?

Accepted Answer

A) Y′ = aY + b 
B) Y′= aX + b 
C) Y′= bX + a 
D) Y′= bY + a 
A) Y′ = aY + b 
B) Y′= aX + b 
C) Y′= bX + a 
D) Y′= bY + a

Question 5

Why do we use Y′ and not Y in the regression equation?

Accepted Answer

We use Y′ because it

Question 6

Using the regression formula with a slope = 0.504 and an intercept = 0.719,what would the predicted college GPA be for a student whose current high school GPA = 3.2?

Accepted Answer

A) 2.69 
B) 2.33 
C) 3.00 
D) 3.20 
A) 2.69 
B) 2.33 
C) 3.00 
D) 3.20

Question 7

When adding additional predictors to a regression analysis,you should try to find predictors that are related to ______ but not ______.

Accepted Answer

A) the independent variable;the dependent variables 
B) the dependent variable;the independent variables 
C) the predictors;the outcome 
D) all main effects;any interaction effect 
A) the independent variable;the dependent variables 
B) the dependent variable;the independent variables 
C) the predictors;the outcome 
D) all main effects;any interaction effect

Question 8

Which of the following is also known as a regression weight?

Accepted Answer

A) X 
B) Y′ 
C) a 
D) b 
A) X 
B) Y′ 
C) a 
D) b

Question 9

Why is the regression line called the line of best fit?

Accepted Answer

Because the regression line mi

Question 10

Using the regression formula with a slope = 2,000 and an intercept = 15,000,what would the predicted income be for someone who has 16 years of education?

Accepted Answer

A) $40,000 
B) $42,000 
C) $45,000 
D) $47,000 
A) $40,000 
B) $42,000 
C) $45,000 
D) $47,000

Question 11

Standard error of estimate is computed as the variance of all values for error in prediction.

Accepted Answer

A) True 
 B)False

Question 12

What does a unique contribution mean for a variable?

Accepted Answer

A unique contribution means th

Question 13

What does the regression line represent?

Accepted Answer

The regression line represents four thin

Question 14

If the correlation between variable X and variable Y is perfect,what do you know about the prediction?

Accepted Answer

The predic

Question 15

Using the regression formula with a slope = 2,000 and an intercept = 15,000,what would the predicted income be for someone who has 5 years of education?

Accepted Answer

A) $25,000 
B) $42,000 
C) $45,000 
D) $47,000 
A) $25,000 
B) $42,000 
C) $45,000 
D) $47,000

Question 16

A criterion variable is also known as a(n)______.

Accepted Answer

A) independent variable 
B) dependent variable 
C) nominal variable 
D) categorical variable 
A) independent variable 
B) dependent variable 
C) nominal variable 
D) categorical variable

Question 17

A regression equation can be visually represented on a(n)______.

Accepted Answer

A) scatter plot 
B) histogram 
C) ogive 
D) pie chart 
A) scatter plot 
B) histogram 
C) ogive 
D) pie chart

Question 18

What do we call the point at which the regression line crosses the y-axis?

Accepted Answer

A) the intercept 
B) the predicted point 
C) the criterion point 
D) the slope 
A) the intercept 
B) the predicted point 
C) the criterion point 
D) the slope

Question 19

How is the regression line related to the correlation coefficient?

Accepted Answer

The regression line is a direc

Question 20

Using the regression formula with a slope = 1,000 and an intercept = 25,000,what would the predicted income be for someone who has 20 years of education?

Accepted Answer

A) $40,000 
B) $42,000 
C) $45,000 
D) $47,000 
A) $40,000 
B) $42,000 
C) $45,000 
D) $47,000

Which of the following symbols is associated with the y-intercept in the regression equation?

Using the regression formula with a slope = 0.704 and an intercept = 0.719,what would the predicted college GPA be for a student whose current high school GPA = 4.2?

In linear regression,the outcome variable is called the criterion or dependent variable.

Which of the following is the correct formula for linear regression?

Why do we use Y′ and not Y in the regression equation?

Using the regression formula with a slope = 0.504 and an intercept = 0.719,what would the predicted college GPA be for a student whose current high school GPA = 3.2?

When adding additional predictors to a regression analysis,you should try to find predictors that are related to but not .

Which of the following is also known as a regression weight?

Why is the regression line called the line of best fit?

Using the regression formula with a slope = 2,000 and an intercept = 15,000,what would the predicted income be for someone who has 16 years of education?

Standard error of estimate is computed as the variance of all values for error in prediction.

What does a unique contribution mean for a variable?

What does the regression line represent?

If the correlation between variable X and variable Y is perfect,what do you know about the prediction?

Using the regression formula with a slope = 2,000 and an intercept = 15,000,what would the predicted income be for someone who has 5 years of education?

A criterion variable is also known as a(n)______.

A regression equation can be visually represented on a(n)______.

What do we call the point at which the regression line crosses the y-axis?

How is the regression line related to the correlation coefficient?

Using the regression formula with a slope = 1,000 and an intercept = 25,000,what would the predicted income be for someone who has 20 years of education?

Statistics or Sadistics Its up to You

Means to an End: Computing and Understanding Averages

Understanding Variability: Vive La Différence

A Picture Really Is Worth a Thousand Words

Computing Correlation Coefficients: Ice Cream and Crime

Understanding Reliability and Validity: Just the Truth

Hypotheticals and You: Testing Your Questions

Probability and Why It Counts: Fun With a Bell-Shaped Curve

Significantly Significant: What It Means for You and Me

Only the Lonely: the One Sample Z-Test

Teafor Two: Tests Between the Means of Different Groups

Teafor Two Again: Tests Between the Means of Related Groups

Two Groups Too Many Try Analysis of Variance

Two Too Many Factors: Factorial Analysis of Variancea Brief Introduction

Testing Relationships Using the Correlation Coefficients: Cousins or Just Good Friends

Chi-Square and Some Other Nonparametric Tests: What to Do When Youre Not Normal

Some Other Importantstatistical Procedures You Should Know About

An Introduction to Data Mining

Filters

Exam 16: Using Linear Regression: Predicting Wholl Win the Super Bowl

Which of the following symbols is associated with the y-intercept in the regression equation?

Using the regression formula with a slope = 0.704 and an intercept = 0.719,what would the predicted college GPA be for a student whose current high school GPA = 4.2?

In linear regression,the outcome variable is called the criterion or dependent variable.

Which of the following is the correct formula for linear regression?

Why do we use Y′ and not Y in the regression equation?

Using the regression formula with a slope = 0.504 and an intercept = 0.719,what would the predicted college GPA be for a student whose current high school GPA = 3.2?

When adding additional predictors to a regression analysis,you should try to find predictors that are related to ______ but not ______.

Which of the following is also known as a regression weight?

Why is the regression line called the line of best fit?

Using the regression formula with a slope = 2,000 and an intercept = 15,000,what would the predicted income be for someone who has 16 years of education?

Standard error of estimate is computed as the variance of all values for error in prediction.

What does a unique contribution mean for a variable?

What does the regression line represent?

If the correlation between variable X and variable Y is perfect,what do you know about the prediction?

Using the regression formula with a slope = 2,000 and an intercept = 15,000,what would the predicted income be for someone who has 5 years of education?

A criterion variable is also known as a(n)______.

A regression equation can be visually represented on a(n)______.

What do we call the point at which the regression line crosses the y-axis?

How is the regression line related to the correlation coefficient?

Using the regression formula with a slope = 1,000 and an intercept = 25,000,what would the predicted income be for someone who has 20 years of education?

Statistics or Sadistics Its up to You

Means to an End: Computing and Understanding Averages

Understanding Variability: Vive La Différence

A Picture Really Is Worth a Thousand Words

Computing Correlation Coefficients: Ice Cream and Crime

Understanding Reliability and Validity: Just the Truth

Hypotheticals and You: Testing Your Questions

Probability and Why It Counts: Fun With a Bell-Shaped Curve

Significantly Significant: What It Means for You and Me

Only the Lonely: the One Sample Z-Test

Teafor Two: Tests Between the Means of Different Groups

Teafor Two Again: Tests Between the Means of Related Groups

Two Groups Too Many Try Analysis of Variance

Two Too Many Factors: Factorial Analysis of Variancea Brief Introduction

Testing Relationships Using the Correlation Coefficients: Cousins or Just Good Friends

Chi-Square and Some Other Nonparametric Tests: What to Do When Youre Not Normal

Some Other Importantstatistical Procedures You Should Know About

An Introduction to Data Mining

Filters

When adding additional predictors to a regression analysis,you should try to find predictors that are related to but not .