A personnel psychologist studying adjustment to the job of new employees found a correlation of .3 between amount of education and rating by job supervisors 2 months later. The psychologist now plans to use the amount of education to predict supervisors’ later ratings. Indicate the independent/predictor variable, dependent/criterion variable, and beta. Write the Z-score prediction model; give the predicted Z-scores for supervisor ratings for employees with the amount of education Z-score of -1.5, -1, -.5

the predictor variable is: amount of education

the criterion variable is: the Supervisors' rating

the beta is: .3

the Zy scores are -0.45, -0.3, 0.15

Step-by-step explanation:

r=beta which is the same; hence correlation equals regression

use this formula for the Z-scores

Zy= (beta) (Zx)

zy=(.3) (-1.5) = -0.45

(E) -1.5;

Zy=-0.45

(F)-1,

Zy=-0.3  

(G)-.5.

Zy=-0.15

c. y = 1/4 x + 5

step-by-step explanation:

first, put the equation of the line on the graph into slope-intercept form

(y = mx + b):   y = -4x + 8

second, a perpendicular line has to have "an opposite/reciprocal slope" to the original slope. so, find the "m" value in your original equation (it's -4, right? )

original slope: m = -4   perpendicular slope: change the sign to its opposite and find the reciprocal ("flip" the number)

new slope is now positive (b/c the original slope was negative 4), and it's 1/4 (not the original slope of 4 or 4/1)

answer: 8

step-by-step explanation: