regression

Question 1

how do we use a regression e to predict a score

Answer 1

variable 1 = intercept + slope x variable 2

Question 2

what is a residual

Answer 2

predicted errors, sum of all residuals =0

Question 3

relationship between the v of true scores, predicted and residuals

Answer 3

variance of predicted scores + variance residuals = variance true scores

Question 4

correlation and regression - moving 1 SD

Answer 4

moves to whereever the slopeline is

Question 5

correlation of x means

Answer 5

change a by 1 SD b changes by x SD

Question 6

regression to the mean

Answer 6

the second measurement of a variable is less extreme than the 1st