Lecture 6: Making Predictions using Regression

Question 1

Criterion Variable

Answer 1

Outcome variable/dependent variable

Question 2

Predictor Variable

Answer 2

Independent variable

Question 3

What goes on Y axis

Answer 3

Criterion/dependent variable

Question 4

What goes on X axis

Answer 4

Predictor/independent variable

Question 5

Whats on the horizontal axis

Answer 5

X/predictor/independent

Question 6

Whats on the vertical axis

Answer 6

Y/criterion/dependent

Question 7

What are residuals

Answer 7

Squared deviations of the data points from the regression line (error in prediction)

Question 8

R^2 (R squared)

Answer 8

Correlation value squared

Question 9

R

Answer 9

Correlation value

Question 10

Adjusted R^2

Answer 10

More conservative estimate

Question 11

What represents proportion of variance accounted for

Answer 11

R value

Question 12

What does b (italicised) represent

Answer 12

Unstandardised regression coefficient

Question 13

Unstandardised regression coefficient (b)

Answer 13

Measure of impact. Per unit change in independent there is a predicted average change in criterion

Question 14

What does Beta represent

Answer 14

Standardised regression coefficient

Question 15

Standardised regression coefficient (Beta)

Answer 15

Measure of relative effect and intensity. Per standard deviation change in independent there is a predicted average unit change in x standard deviation