1. List the strength and direction of the following correlations:

r = .02

r = .53

r = -.89

2. Describe the difference between correlation and prediction (regression) analysis approaches?

3a. A regression model predicting the yearly salary (Y) for a teacher is predicted by years of experience(X). The analysis produces a constant of 38,000 and an intercept (slope) of 1,500. According to the model, what would be the salary of a teacher who has worked for 12 years?

3b. Additional variables are added to improve the model predicting annual teacher salary (Y). The model now includes years of experience (X1), number of awards (X2), and age (X3). The analysis produces a constant of 38,000, and the following slopes (x1 = 1,500, x2 = 5,000, x3 = .055).

What would be the salary of a teacher who has worked for 5 years, won 2 awards, and is 27-years-old?