Question 1

The best linear prediction rule will have the smallest sum of __________.(Give a name,not a symbol.)

Accepted Answer

squared errors; squa

Question 2

Advanced topic: When figuring r2,you divide the reduction in squared error by the __________.(Do not give a symbol.)

Accepted Answer

total sum of squared

Question 3

A psychologist conducted a study of burnout among social workers working with homeless people in a particular city.The study produced the following multiple regression prediction rule.Burnout was measured by a standard scale with 0 = low burnout and 48 = high burnout.The predictor variables,except months working at this job,were measured on a 4-point scale,with 1 = low and 4 = high.   a.Figure the predicted burnout for a social worker who rates her sense of success on the job as a 4,her relationship with her supervisor as a 3,and who has been working at the job for 10 months.
b.Figure the predicted burnout for a social worker who rates his sense of success on the job as a 1,his relationship with his supervisor as a 1,and who has been working at the job for 20 months.
c.Figure the predicted burnout for a social worker who rates her sense of success on the job as a 3,her relationship with her supervisor as a 3,and who has been working at the job for 20 months.
d.Explain the logic of what you did,including why the predictions for the three people are different,to a person who is familiar with correlation,but who knows nothing about regression.

Accepted Answer

A)14 B)35

Question 4

based on the following data for variables X and Y.  
-The regression coefficient for the best linear prediction rule is __________.(Give a number.)

Accepted Answer

The answer of based on the following data for variables...

Question 5

The regression coefficient in the best linear prediction rule is

Accepted Answer

A) the product of the sum of the deviation scores on the predictor variable,multiplied by the sum of the deviation scores on the criterion variable,divided by the predictor variable's sum of squared deviations from the mean. 
B) the sum of the products of the deviation scores,divided by the predictor variable's sum of squared deviations from the mean. 
C) the product of the sum of the deviation scores on the predictor variable,multiplied by the sum of the deviation scores on the criterion variable,divided by the criterion variable's sum of squared deviations from the mean. 
D) the sum of the product of the deviation scores,divided by the criterion variable's sum of squared deviations from the mean. 
A) the product of the sum of the deviation scores on the predictor variable,multiplied by the sum of the deviation scores on the criterion variable,divided by the predictor variable's sum of squared deviations from the mean. 
B) the sum of the products of the deviation scores,divided by the predictor variable's sum of squared deviations from the mean. 
C) the product of the sum of the deviation scores on the predictor variable,multiplied by the sum of the deviation scores on the criterion variable,divided by the criterion variable's sum of squared deviations from the mean. 
D) the sum of the product of the deviation scores,divided by the criterion variable's sum of squared deviations from the mean.

Question 6

In making a prediction using the linear prediction rule,Ŷ = 7 + (1.28)(X),the "7" is the __________.(Give a name,not a symbol.)

Accepted Answer

regression

Question 7

The sum of squared errors is the sum of

Accepted Answer

A) each score on the criterion variable minus the predicted score,squared. 
B) each squared score on the criterion variable minus each squared predicted score. 
C) each score on the predictor variable minus the predicted score,squared. 
D) each squared score on the predictor variable minus each squared predicted score. 
A) each score on the criterion variable minus the predicted score,squared. 
B) each squared score on the criterion variable minus each squared predicted score. 
C) each score on the predictor variable minus the predicted score,squared. 
D) each squared score on the predictor variable minus each squared predicted score.

Question 8

If a counseling psychologist wants to predict college grades from high school grades,college grades are the

Accepted Answer

A) predictor variable. 
B) criterion variable. 
C) independent variable. 
D) causal variable. 
A) predictor variable. 
B) criterion variable. 
C) independent variable. 
D) causal variable.

Question 9

If every increase of one point on a test-anxiety scale is associated with a decrease of 2 points on predicted performance on a test,2 represents the slope,which is also the

Accepted Answer

A) regression coefficient. 
B) regression constant. 
C) proportionate reduction in error. 
D) standardized regression coefficient. 
A) regression coefficient. 
B) regression constant. 
C) proportionate reduction in error. 
D) standardized regression coefficient.

Question 10

An educational psychologist wants to predict how well students will do on a particular multiple-choice test based on a measure of their ability to follow instructions. Their actual scores are 3, 7, and 11, and their respective predicted scores are 5, 7, and 9.
-Advanced topic: What is SSTotal?

Accepted Answer

A) (3-7)2 + (7-7)2 + (11-7)2 
B) (5-7)2 + (7-7)2 + (9-7)2 
C) (3-5)2 + (7-7)2 + (11-9)2 
D) (5-9)2 + (7-9)2 + (9-9)2 
A) (3-7)2 + (7-7)2 + (11-7)2 
B) (5-7)2 + (7-7)2 + (9-7)2 
C) (3-5)2 + (7-7)2 + (11-9)2 
D) (5-9)2 + (7-9)2 + (9-9)2

Question 11

The regression constant is also referred to as

Accepted Answer

A) error. 
B) a slope. 
C) the X intercept. 
D) the Y intercept. 
A) error. 
B) a slope. 
C) the X intercept. 
D) the Y intercept.

Question 12

based on the following data for variables X and Y.  
-To find the regression constant for the best linear prediction rule,take __________ minus the result of multiplying the regression coefficient by __________.(Give numbers.)

Accepted Answer

The answer of based on the following data for variables...

Question 13

A health psychologist conducts a study on whether the percentage of fat in a person's diet (X)predicts the percentage of time the person uses a seat belt (Y),with the idea that those who practice one kind of health-related behavior may be more likely to practice another.The results were:   a.Figure the linear prediction rule.
b.Make a graph with the regression line.
c.Figure the standardized regression coefficient.
d.Explain the logic of what you did to someone who is familiar with correlation,but who knows nothing about prediction.Be sure your answer explains the ideas of prediction,linear prediction rule,best linear prediction rule,the regression line,and the standardized regression coefficient.
e.Advanced topic: Figure the proportionate reduction in error using sums of squared errors.
f.Advanced topic: Explain the logic behind how you figured the proportionate reduction in error.

Accepted Answer

@#IMG-DLM& A)b = -299/710 = -0.42; a = 60 - (-0.42

Question 14

A regression coefficient indicates

Accepted Answer

A) whether the correlation is significant or not. 
B) how many units of change in the predicted value of the criterion variable for each unit of change in the predictor variable. 
C) the accuracy of predictions based on the reduction in squared error as a proportion of the total squared error. 
D) the fixed amount that should be added when making a prediction for any particular person. 
A) whether the correlation is significant or not. 
B) how many units of change in the predicted value of the criterion variable for each unit of change in the predictor variable. 
C) the accuracy of predictions based on the reduction in squared error as a proportion of the total squared error. 
D) the fixed amount that should be added when making a prediction for any particular person.

Question 15

In prediction,error is the person's actual score minus the person's __________.(Give a name,not a symbol.)

Accepted Answer

The answer of In prediction,error is the person's actual score...

Question 16

In a multiple regression situation with two predictors,β __________ r.(Write words,no symbols.)

Accepted Answer

does not e

Question 17

Advanced topic: If the correlation coefficient for a study is known,figuring the proportionate reduction in error requires

Accepted Answer

A) dividing the correlation coefficient by 2. 
B) taking the square root of the correlation coefficient. 
C) squaring the correlation coefficient. 
D) multiplying the correlation coefficient by 2. 
A) dividing the correlation coefficient by 2. 
B) taking the square root of the correlation coefficient. 
C) squaring the correlation coefficient. 
D) multiplying the correlation coefficient by 2.

Question 18

When a person's score on one variable is used to make predictions about a person's score on another variable,the procedure is called

Accepted Answer

A) a correlation. 
B) hypothesis testing. 
C) bivariate prediction. 
D) multicollinearity. 
A) a correlation. 
B) hypothesis testing. 
C) bivariate prediction. 
D) multicollinearity.

Question 19

When making predictions using a linear prediction rule,the baseline number that is added to each prediction is

Accepted Answer

A) a. 
B) b. 
C) X. 
D) Ŷ. 
A) a. 
B) b. 
C) X. 
D) Ŷ.

Question 20

A person's predicted score on the criterion variable is found by multiplying the person's score on the predictor variable by a particular number called a

Accepted Answer

A) coefficient of redundancy. 
B) regression constant. 
C) proportionate reduction in error. 
D) regression coefficient. 
A) coefficient of redundancy. 
B) regression constant. 
C) proportionate reduction in error. 
D) regression coefficient.

The best linear prediction rule will have the smallest sum of __________.(Give a name,not a symbol.)

Advanced topic: When figuring r2,you divide the reduction in squared error by the __________.(Do not give a symbol.)

based on the following data for variables X and Y. -The regression coefficient for the best linear prediction rule is __________.(Give a number.)

The regression coefficient in the best linear prediction rule is

In making a prediction using the linear prediction rule,Ŷ = 7 + (1.28)(X),the "7" is the __________.(Give a name,not a symbol.)

The sum of squared errors is the sum of

If a counseling psychologist wants to predict college grades from high school grades,college grades are the

If every increase of one point on a test-anxiety scale is associated with a decrease of 2 points on predicted performance on a test,2 represents the slope,which is also the

An educational psychologist wants to predict how well students will do on a particular multiple-choice test based on a measure of their ability to follow instructions. Their actual scores are 3, 7, and 11, and their respective predicted scores are 5, 7, and 9. -Advanced topic: What is SS_Total?

The regression constant is also referred to as

based on the following data for variables X and Y. -To find the regression constant for the best linear prediction rule,take minus the result of multiplying the regression coefficient by .(Give numbers.)

A regression coefficient indicates

In prediction,error is the person's actual score minus the person's __________.(Give a name,not a symbol.)

In a multiple regression situation with two predictors,β __________ r.(Write words,no symbols.)

Advanced topic: If the correlation coefficient for a study is known,figuring the proportionate reduction in error requires

When a person's score on one variable is used to make predictions about a person's score on another variable,the procedure is called

When making predictions using a linear prediction rule,the baseline number that is added to each prediction is

A person's predicted score on the criterion variable is found by multiplying the person's score on the predictor variable by a particular number called a

Displaying the Order in a Group of Numbers

Central Tendency and Variability

Some Key Ingredients for Inferential Statistics: Z Scores,the Normal Curve, Sample Versus Population, and Probability

Introduction to Hypothesis Testing

Hypothesis Tests With Means of Samples

Making Sense of Statistical Significance:decision Errors, Effect Size, and Statistical Power

Introduction to T Tests: Single Sample and Dependent Means

The T Test for Independent Means

Introduction to the Analysis of Variance

Factorial Analysis of Variance

Correlation

Chi-Square Tests

Strategies When Population Distributions Are Not Normal: Data Transformations and Rank-Order Tests

The General Linear Model and Making Sense of Advanced Statistical Procedures in Research Articles

Filters

Exam 12: Prediction

The best linear prediction rule will have the smallest sum of __________.(Give a name,not a symbol.)

Advanced topic: When figuring r2,you divide the reduction in squared error by the __________.(Do not give a symbol.)

based on the following data for variables X and Y. -The regression coefficient for the best linear prediction rule is __________.(Give a number.)

The regression coefficient in the best linear prediction rule is

In making a prediction using the linear prediction rule,Ŷ = 7 + (1.28)(X),the "7" is the __________.(Give a name,not a symbol.)

The sum of squared errors is the sum of

If a counseling psychologist wants to predict college grades from high school grades,college grades are the

If every increase of one point on a test-anxiety scale is associated with a decrease of 2 points on predicted performance on a test,2 represents the slope,which is also the

An educational psychologist wants to predict how well students will do on a particular multiple-choice test based on a measure of their ability to follow instructions. Their actual scores are 3, 7, and 11, and their respective predicted scores are 5, 7, and 9. -Advanced topic: What is SSTotal?

The regression constant is also referred to as

based on the following data for variables X and Y. -To find the regression constant for the best linear prediction rule,take __________ minus the result of multiplying the regression coefficient by __________.(Give numbers.)

A regression coefficient indicates

In prediction,error is the person's actual score minus the person's __________.(Give a name,not a symbol.)

In a multiple regression situation with two predictors,β __________ r.(Write words,no symbols.)

Advanced topic: If the correlation coefficient for a study is known,figuring the proportionate reduction in error requires

When a person's score on one variable is used to make predictions about a person's score on another variable,the procedure is called

When making predictions using a linear prediction rule,the baseline number that is added to each prediction is

A person's predicted score on the criterion variable is found by multiplying the person's score on the predictor variable by a particular number called a

Displaying the Order in a Group of Numbers

Central Tendency and Variability

Some Key Ingredients for Inferential Statistics: Z Scores,the Normal Curve, Sample Versus Population, and Probability

Introduction to Hypothesis Testing

Hypothesis Tests With Means of Samples

Making Sense of Statistical Significance:decision Errors, Effect Size, and Statistical Power

Introduction to T Tests: Single Sample and Dependent Means

The T Test for Independent Means

Introduction to the Analysis of Variance

Factorial Analysis of Variance

Correlation

Chi-Square Tests

Strategies When Population Distributions Are Not Normal: Data Transformations and Rank-Order Tests

The General Linear Model and Making Sense of Advanced Statistical Procedures in Research Articles

Filters

An educational psychologist wants to predict how well students will do on a particular multiple-choice test based on a measure of their ability to follow instructions. Their actual scores are 3, 7, and 11, and their respective predicted scores are 5, 7, and 9. -Advanced topic: What is SS_Total?

based on the following data for variables X and Y. -To find the regression constant for the best linear prediction rule,take minus the result of multiplying the regression coefficient by .(Give numbers.)