Question 1

What is linear regression?

Accepted Answer

Linear regression is a statist

Question 2

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

Accepted Answer

Because the regression line mi

Question 3

In a scatter plot, if all data points were aligned along a 45° angle, your correlation would be _______.

Accepted Answer

A) of medium strength 
B) of weak strength 
C) perfect 
D) 0 
A) of medium strength 
B) of weak strength 
C) perfect 
D) 0

Question 4

A positive trend line is associated with what type of slope?

Accepted Answer

A) negative slope 
B) direct slope 
C) positive slope 
D) nondirectional slope 
A) negative slope 
B) direct slope 
C) positive slope 
D) nondirectional slope

Question 5

If you are trying to predict Y scores from X scores, X is referred to as the _______.

Accepted Answer

A) nominal variable 
B) dependent variable 
C) predictor variable 
D) criterion variable 
A) nominal variable 
B) dependent variable 
C) predictor variable 
D) criterion variable

Question 6

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

Accepted Answer

The predic

Question 7

What is the standard error of estimate?

Accepted Answer

The standard error of estimate is the me

Question 8

Using the regression formula with a slope = .704 and an intercept = .719, what would the predicted college GPA be for a student whose current high school GPA = 2.2?

Accepted Answer

A) 2.69 
B) 2.97 
C) 3.00 
D) 2.27 
A) 2.69 
B) 2.97 
C) 3.00 
D) 2.27

Question 9

In a scatter plot, if all data points were aligned along a 44° angle, your correlation would be ______.

Accepted Answer

A) medium strength 
B) low strength 
C) high strength 
D) 0 
A) medium strength 
B) low strength 
C) high strength 
D) 0

Question 10

If you are trying to predict Y scores from X scores, Y is referred to as the _______.

Accepted Answer

A) nominal variable 
B) independent variable 
C) predictor variable 
D) criterion variable 
A) nominal variable 
B) independent variable 
C) predictor variable 
D) criterion variable

Question 11

How does linear regression differ from multiple regression?

Accepted Answer

Linear regression is a statistical techn

Question 12

What does the regression line represent?

Accepted Answer

The regression line represents four thin

Question 13

If the correlation between X and Y is equal to −1.0, what do we know about the prediction of Y by X?

Accepted Answer

A) It's weak. 
B) It's positive. 
C) It's perfect. 
D) It's direct. 
A) It's weak. 
B) It's positive. 
C) It's perfect. 
D) It's direct.

Question 14

How is the symbol interpreted?

Accepted Answer

A) Y intercept 
B) Y predictor 
C) Y prime 
D) Y score 
A) Y intercept 
B) Y predictor 
C) Y prime 
D) Y score

Question 15

Which of the following is like a standard deviation for all error scores in regression?

Accepted Answer

A) error of the estimate 
B) error standard deviation 
C) standard error of the estimate 
D) precision of error score 
A) error of the estimate 
B) error standard deviation 
C) standard error of the estimate 
D) precision of error score

Question 16

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

Question 17

If the absolute value of your correlation coefficient is 1, your error in prediction will be _______.

Accepted Answer

A) very high 
B) 1 
C) 0 
D) Unknown 
A) very high 
B) 1 
C) 0 
D) Unknown

Question 18

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

Accepted Answer

A) True 
 B)False

Question 19

If the absolute value of your correlation is very close to 0, your error in prediction will be _______.

Accepted Answer

A) high 
B) low 
C) very low 
D) 0 
A) high 
B) low 
C) very low 
D) 0

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

What is linear regression?

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

In a scatter plot, if all data points were aligned along a 45° angle, your correlation would be _______.

A positive trend line is associated with what type of slope?

If you are trying to predict Y scores from X scores, X is referred to as the _______.

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

What is the standard error of estimate?

Using the regression formula with a slope = .704 and an intercept = .719, what would the predicted college GPA be for a student whose current high school GPA = 2.2?

In a scatter plot, if all data points were aligned along a 44° angle, your correlation would be ______.

If you are trying to predict Y scores from X scores, Y is referred to as the _______.

How does linear regression differ from multiple regression?

What does the regression line represent?

If the correlation between X and Y is equal to −1.0, what do we know about the prediction of Y by X?

How is the symbol interpreted?

Which of the following is like a standard deviation for all error scores in regression?

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?

If the absolute value of your correlation coefficient is 1, your error in prediction will be _______.

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

If the absolute value of your correlation is very close to 0, your error in prediction will be _______.

Statistics or Sadistics Its up to You

Means to an End: Computing and Understanding Averages

Vive La Différence: Understanding Variability

A Picture Really Is Worth a Thousand Words

Ice Cream and Crime: Computing Correlation Coefficients

Just the Truth: An Introduction to Understanding Reliability and Validity

Hypotheticals and You: Testing Your Questions

Are Your Curves Normal Probability and Why It Counts

Significantly Significant: What It Means for You and Me

Only the Lonely: The One Sample Z-Test

Tea for Two: Tests Between the Means of Different Groups

Tea for 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

Cousins or Just Good Friends Testing Relationships Using Correlation Coefficient

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

Some Other Important Statistical Procedures You Should Know About

Data Mining: An Introduction to Getting the Most Out of Your Big Data

A Statistical Software Sampler

The Ten or More Best and Most Fun Internet Sites for Statistics Stuff

The Ten Commandments of Data Collection

Filters