Regression

Question 1

1)	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  
A)	a correlation.  
B)	hypothesis testing.  
C)	bivariate prediction.  
D)	multicollinearity.

Answer 1

Bivariate prediction

Question 2

2)	If a counseling psychologist wants to predict university grades from high school grades, university grades are the  
A)	predictor variable.  
B)	criterion variable.  
C)	independent variable.  
D)	causal variable.

Answer 2

Criterion

Question 3

3)	In the equation Ŷ = a + (b)(X), b is the symbol for the  
A)	correlation coefficient.  
B)	regression coefficient.  
C)	proportionate reduction in error.  
D)	regression constant.

Answer 3

Regression coefficient. Where a represents regression constant.

Question 4

4) A regression coefficient indicates
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.

Answer 4

B - ?

Question 5

5)	When making predictions using a linear prediction rule, the baseline number that is added to each prediction is  
A)	a. 
B)	b. 
C)	X. 
D)	Ŷ.

Answer 5

A - a

Question 6

6)	If a child psychologist reports that age in months predicts appetite level for a group of infants using a linear prediction rule in which a = 1 and b = 2, the appetite level for a four-month-old infant is  
A)	4  
B)	8  
C)	9  
D)	12

Answer 6

C - 1+(b) x (4) = 1 + 8 = 9

Question 7

7)	The regression constant is also referred to as
A)	error. 
B)	a slope. 
C)	the X intercept. 
D)	the Y intercept.

Answer 7

Y intercept baby

Question 8

8) If a person’s score on a questionnaire has been found to predict observed social skills, and the linear prediction rule uses a regression constant of 16 and a regression coefficient of 3, the predicted level of social skills for a person with a score of 10 on the questionnaire is

Answer 8

Uharrrr - constant = a - coefficient = b. 16 + (3) x (10) = 16 + 30 = 46

Question 9

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

Answer 9

tricky, just wants to know what the slope is. Constant is y intercept. X is score. and Y hat forgot. B - coefficient is the slope.

Question 10

11) The best linear prediction rule is the one that has the least
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.

Answer 10

D - squared error when predicting using that rule.

Question 11

12) The standardized regression coefficient in a bivariate linear prediction rule equals
A) the intercept of the regression line using raw scores.
B) the slope of the regression line using raw scores.
C) the correlation coefficient.
D) the correlation coefficient squared.

Answer 11

the correlation coefficient squared.