Question 1

Which of the following is used to illustrate the best guess as to the predicted Y variable score based on X?

Accepted Answer

A) regression equation 
B) scatter plot 
C) standard error of the estimate 
D) regression line 
A) regression equation 
B) scatter plot 
C) standard error of the estimate 
D) regression line

Question 2

If the absolute value of the correlation is 0.9,the 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

Question 3

Linear regression uses correlations between variables as the basis for the prediction of the value of one variable based on the value of another.

Accepted Answer

A) True 
 B)False

Question 4

The higher the absolute value of the correlation coefficient,the less accurate the prediction is of one variable based on the other variable.

Accepted Answer

A) True 
 B)False

Question 5

What is the term for the categorical variables used in the prediction in a regression analysis?

Accepted Answer

A) nothing 
B) dummy coding 
C) problem coding 
D) categorical coding 
A) nothing 
B) dummy coding 
C) problem coding 
D) categorical coding

Question 6

A regression line is also called the ______.

Accepted Answer

A) scatter plot line 
B) line of best fit 
C) line graph 
D) line of the estimate 
A) scatter plot line 
B) line of best fit 
C) line graph 
D) line of the estimate

Question 7

The statistical technique used to make predictions of future outcomes based on present data is ______

Accepted Answer

A) analysis of variance 
B) repeated measures 
C) linear regression 
D) correlational analysis 
A) analysis of variance 
B) repeated measures 
C) linear regression 
D) correlational analysis

Question 8

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 = 3.2?

Accepted Answer

A) 2.69 
B) 2.97 
C) 3.00 
D) 3.20 
A) 2.69 
B) 2.97 
C) 3.00 
D) 3.20

Question 9

How does linear regression differ from multiple regression?

Accepted Answer

Linear regression is a statistical techn

Question 10

In the formula for a regression line,what does a represent?

Accepted Answer

A) known value of X 
B) slope of a line 
C) y-intercept 
D) predictor score 
A) known value of X 
B) slope of a line 
C) y-intercept 
D) predictor score

Question 11

Using the regression formula with a slope = 0.704 and an intercept = 0.319,what would the predicted college GPA be for a student whose current high school GPA = 3.2?

Accepted Answer

A) 2.33 
B) 2.57 
C) 3.61 
D) 3.20 
A) 2.33 
B) 2.57 
C) 3.61 
D) 3.20

Question 12

In linear regression,a regression equation is determined,which can be used to plot a regression line.

Accepted Answer

A) True 
 B)False

Question 13

Error in prediction (error of estimate)is calculated as the distance between each individual data point and the regression line.

Accepted Answer

A) True 
 B)False

Question 14

How would you represent the predicted score of Y based on a known value of X?

Accepted Answer

A) y 
B) y-intercept 
C) Y′ 
D) Y = Xa 
A) y 
B) y-intercept 
C) Y′ 
D) Y = Xa

Question 15

When computing a predicted value,your second step is to ______.

Accepted Answer

A) multiply the slope by the independent variable 
B) add the slope to the independent variable 
C) add the intercept,or a,to the value of step one 
D) subtract the constant 
A) multiply the slope by the independent variable 
B) add the slope to the independent variable 
C) add the intercept,or a,to the value of step one 
D) subtract the constant

Question 16

More accurate predictions are associated with correlations ______.

Accepted Answer

A) having higher values 
B) having higher absolute values 
C) having lower values 
D) having lower absolute values 
A) having higher values 
B) having higher absolute values 
C) having lower values 
D) having lower absolute values

Question 17

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 is weak. 
B) It is positive. 
C) It is perfect. 
D) It is direct. 
A) It is weak. 
B) It is positive. 
C) It is perfect. 
D) It is direct.

Question 18

If you are trying to predict Y scores from X scores,Y 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 19

Which of the following is the formula for a regression line?

Accepted Answer

A) a2 + b2 = c2 
B) aX + b = Y 
C) bX + a = Y′ 
D) dX + a = Y′ 
A) a2 + b2 = c2 
B) aX + b = Y 
C) bX + a = Y′ 
D) dX + a = Y′

Question 20

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

Accepted Answer

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

Which of the following is used to illustrate the best guess as to the predicted Y variable score based on X?

If the absolute value of the correlation is 0.9,the error in prediction will be ______.

Linear regression uses correlations between variables as the basis for the prediction of the value of one variable based on the value of another.

The higher the absolute value of the correlation coefficient,the less accurate the prediction is of one variable based on the other variable.

What is the term for the categorical variables used in the prediction in a regression analysis?

A regression line is also called the ______.

The statistical technique used to make predictions of future outcomes based on present data is ______

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 = 3.2?

How does linear regression differ from multiple regression?

In the formula for a regression line,what does a represent?

Using the regression formula with a slope = 0.704 and an intercept = 0.319,what would the predicted college GPA be for a student whose current high school GPA = 3.2?

In linear regression,a regression equation is determined,which can be used to plot a regression line.

Error in prediction (error of estimate)is calculated as the distance between each individual data point and the regression line.

How would you represent the predicted score of Y based on a known value of X?

When computing a predicted value,your second step is to ______.

More accurate predictions are associated with correlations ______.

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

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

Which of the following is the formula for a regression line?

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

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 is used to illustrate the best guess as to the predicted Y variable score based on X?

If the absolute value of the correlation is 0.9,the error in prediction will be ______.

Linear regression uses correlations between variables as the basis for the prediction of the value of one variable based on the value of another.

The higher the absolute value of the correlation coefficient,the less accurate the prediction is of one variable based on the other variable.

What is the term for the categorical variables used in the prediction in a regression analysis?

A regression line is also called the ______.

The statistical technique used to make predictions of future outcomes based on present data is ______

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 = 3.2?

How does linear regression differ from multiple regression?

In the formula for a regression line,what does a represent?

Using the regression formula with a slope = 0.704 and an intercept = 0.319,what would the predicted college GPA be for a student whose current high school GPA = 3.2?

In linear regression,a regression equation is determined,which can be used to plot a regression line.

Error in prediction (error of estimate)is calculated as the distance between each individual data point and the regression line.

How would you represent the predicted score of Y based on a known value of X?

When computing a predicted value,your second step is to ______.

More accurate predictions are associated with correlations ______.

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

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

Which of the following is the formula for a regression line?

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

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