Question 1

Advanced topic: What is the difference between the SSError and SSTotal?

Accepted Answer

A) SSError is an individual score; SSTotal takes into account the error of an entire study. 
B) SSError uses the prediction rule; SSTotal predicts from the mean. 
C) SSError predicts from the mean; SSTotal uses the prediction rule. 
D) SSError takes into account the variance of both populations; SSTotal takes into account only the variance in the predictor variable. 
A) SSError is an individual score; SSTotal takes into account the error of an entire study. 
B) SSError uses the prediction rule; SSTotal predicts from the mean. 
C) SSError predicts from the mean; SSTotal uses the prediction rule. 
D) SSError takes into account the variance of both populations; SSTotal takes into account only the variance in the predictor variable. B

Question 2

based on the following data for variables X and Y.  
-To find the regression coefficient for the best linear prediction rule,divide __________ by __________.(Give numbers.)

Accepted Answer

10; 8

Question 3

The best linear prediction rule is the one that has the least

Accepted Answer

A) error when predicting from the mean. 
B) squared error when predicting from the mean. 
C) error when predicting using that rule. 
D) squared error when predicting using that rule. 
A) error when predicting from the mean. 
B) squared error when predicting from the mean. 
C) error when predicting using that rule. 
D) squared error when predicting using that rule. D

Question 4

If a cognitive psychologist is studying whether difficulty doing a task predicts the amount of activity in a certain brain area,task difficulty is the __________ variable,and brain activity is the __________ variable.(Give names,not symbols.)

Accepted Answer

predictor,

Question 5

If Ŷ = 3 + (.25)(X),a person whose score on X is 100 and on Y is 22 has a squared error of __________.(Give a number.)

Accepted Answer

The answer of If Ŷ = 3 + (.25)(X),a person...

Question 6

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

Accepted Answer

regression

Question 7

The multiple regression formula with two predictor variables is

Accepted Answer

A) Ŷ = a + (b1/X1)+ (b2/X2). 
B) Ŷ = a1 + a2 + (b1/X1)+ (b2/X2). 
C) Ŷ = a + (b1)(X1)+ (b2)(X2). 
D) Ŷ = a1 + a2 + (b1)(X1)+ (b2)(X2). 
A) Ŷ = a + (b1/X1)+ (b2/X2). 
B) Ŷ = a1 + a2 + (b1/X1)+ (b2/X2). 
C) Ŷ = a + (b1)(X1)+ (b2)(X2). 
D) Ŷ = a1 + a2 + (b1)(X1)+ (b2)(X2).

Question 8

Advanced topic: What does it mean when SSTotal minus SSError equals zero?

Accepted Answer

A) This is the best case-it means there is zero error. 
B) This is the worst case-it means the prediction model has reduced zero error. 
C) The proportionate reduction in error is 50%. 
D) The underlying correlation is negative. 
A) This is the best case-it means there is zero error. 
B) This is the worst case-it means the prediction model has reduced zero error. 
C) The proportionate reduction in error is 50%. 
D) The underlying correlation is negative.

Question 9

Prediction is also called __________.

Accepted Answer

The answer of Prediction is also called __________....

Question 10

On a scatter diagram,the vertical distance between the dot for the actual score and the regression line represents the

Accepted Answer

A) slope. 
B) regression constant. 
C) squared error. 
D) error. 
A) slope. 
B) regression constant. 
C) squared error. 
D) error.

Question 11

A cognitive psychologist conducted a study of whether familiarity of words (X)predicts the time it takes (in seconds)to press a button indicating whether the word is singular or plural (Y),with all participants being given the same words.Familiarity with these words was rated at a later time on a 7-point scale (with higher numbers indicating more familiarity).The participants' scores 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 = -3/10 = -0.3; a = 1 - (-0.3)(4)=

Question 12

Error in regression is figured by

Accepted Answer

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

Question 13

The number multiplied by the score on the predictor variable to get the predicted score on the criterion variable is the __________.(Give a name,not a symbol.)

Accepted Answer

regression

Question 14

The multiple correlation coefficient of a criterion variable with two predictor variables

Accepted Answer

A) is usually smaller than the sum of the correlation coefficients of the criterion variable with each predictor variable. 
B) is usually larger than the sum of the correlation coefficients of the criterion variable with each predictor variable. 
C) is exactly the same as the sum of the correlation coefficients of the criterion variable with each predictor variable. 
D) can be larger,smaller,or the same as the sum of the correlation coefficients of the criterion variable with each predictor variable. 
A) is usually smaller than the sum of the correlation coefficients of the criterion variable with each predictor variable. 
B) is usually larger than the sum of the correlation coefficients of the criterion variable with each predictor variable. 
C) is exactly the same as the sum of the correlation coefficients of the criterion variable with each predictor variable. 
D) can be larger,smaller,or the same as the sum of the correlation coefficients of the criterion variable with each predictor variable.

Question 15

One assumption of multiple regression is that error scores are __________.

Accepted Answer

normally d

Question 16

If a regression line goes up three units for every one unit it moves across going from left to right,b = __________.(Give a number.)

Accepted Answer

The answer of If a regression line goes up three...

Question 17

The principle for selecting the best linear prediction rule is called the __________ criterion.

Accepted Answer

The answer of The principle for selecting the best linear...

Question 18

Advanced topic: The proportionate reduction in error is the sum of squared error when predicting from the mean minus the sum of squared error when predicting using the __________.

Accepted Answer

linear pre

Question 19

Why are errors squared in a regression?

Accepted Answer

A) to give more weight to smaller errors 
B) because summing positive and negative errors will cancel them out 
C) multiplying positive and negative errors will always result in negative numbers 
D) errors are not actually squared in a regression 
A) to give more weight to smaller errors 
B) because summing positive and negative errors will cancel them out 
C) multiplying positive and negative errors will always result in negative numbers 
D) errors are not actually squared in a regression

Question 20

When drawing a regression line for a linear prediction rule,the minimum number of predicted points on a graph that must be located is

Accepted Answer

A) 1. 
B) 2. 
C) 1 if it is a positively sloped line; 2 if it is a negatively sloped line. 
D) 2 if it is a positively sloped line; 1 if it is a negatively sloped line. 
A) 1. 
B) 2. 
C) 1 if it is a positively sloped line; 2 if it is a negatively sloped line. 
D) 2 if it is a positively sloped line; 1 if it is a negatively sloped line.

Advanced topic: What is the difference between the SS_Error and SS_Total?

based on the following data for variables X and Y. -To find the regression coefficient for the best linear prediction rule,divide by .(Give numbers.)

The best linear prediction rule is the one that has the least

If a cognitive psychologist is studying whether difficulty doing a task predicts the amount of activity in a certain brain area,task difficulty is the variable,and brain activity is the variable.(Give names,not symbols.)

If Ŷ = 3 + (.25)(X),a person whose score on X is 100 and on Y is 22 has a squared error of __________.(Give a number.)

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

The multiple regression formula with two predictor variables is

Advanced topic: What does it mean when SS_Total minus SS_Error equals zero?

Prediction is also called __________.

On a scatter diagram,the vertical distance between the dot for the actual score and the regression line represents the

Error in regression is figured by

The number multiplied by the score on the predictor variable to get the predicted score on the criterion variable is the __________.(Give a name,not a symbol.)

The multiple correlation coefficient of a criterion variable with two predictor variables

One assumption of multiple regression is that error scores are __________.

If a regression line goes up three units for every one unit it moves across going from left to right,b = __________.(Give a number.)

The principle for selecting the best linear prediction rule is called the __________ criterion.

Advanced topic: The proportionate reduction in error is the sum of squared error when predicting from the mean minus the sum of squared error when predicting using the __________.

Why are errors squared in a regression?

When drawing a regression line for a linear prediction rule,the minimum number of predicted points on a graph that must be located is

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

Advanced topic: What is the difference between the SSError and SSTotal?

based on the following data for variables X and Y. -To find the regression coefficient for the best linear prediction rule,divide __________ by __________.(Give numbers.)

The best linear prediction rule is the one that has the least

If a cognitive psychologist is studying whether difficulty doing a task predicts the amount of activity in a certain brain area,task difficulty is the __________ variable,and brain activity is the __________ variable.(Give names,not symbols.)

If Ŷ = 3 + (.25)(X),a person whose score on X is 100 and on Y is 22 has a squared error of __________.(Give a number.)

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

The multiple regression formula with two predictor variables is

Advanced topic: What does it mean when SSTotal minus SSError equals zero?

Prediction is also called __________.

On a scatter diagram,the vertical distance between the dot for the actual score and the regression line represents the

Error in regression is figured by

The number multiplied by the score on the predictor variable to get the predicted score on the criterion variable is the __________.(Give a name,not a symbol.)

The multiple correlation coefficient of a criterion variable with two predictor variables

One assumption of multiple regression is that error scores are __________.

If a regression line goes up three units for every one unit it moves across going from left to right,b = __________.(Give a number.)

The principle for selecting the best linear prediction rule is called the __________ criterion.

Advanced topic: The proportionate reduction in error is the sum of squared error when predicting from the mean minus the sum of squared error when predicting using the __________.

Why are errors squared in a regression?

When drawing a regression line for a linear prediction rule,the minimum number of predicted points on a graph that must be located is

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

Advanced topic: What is the difference between the SS_Error and SS_Total?

based on the following data for variables X and Y. -To find the regression coefficient for the best linear prediction rule,divide by .(Give numbers.)

If a cognitive psychologist is studying whether difficulty doing a task predicts the amount of activity in a certain brain area,task difficulty is the variable,and brain activity is the variable.(Give names,not symbols.)

Advanced topic: What does it mean when SS_Total minus SS_Error equals zero?