1. A researcher wishes to predict marital satisfaction (HAPPY), measured on a 1 "not satisfied" to 10 "satisfied" scale, from two predictor variables: number of different topics the couple discusses per week (TOPICS) and number of arguments the couple has per week (ARGUE). The researcher randomly samples 200 married people and obtains the following data:

HAPPY:

TOPICS:

ARGUE: Xa=10 s=2.0 b=-.34 sb=.11b=-.02

constant: a = 5 calculated F-value: F = 4.8

A.Is the regression model significant? (i.e., do the set of predictor variables predict the criterion variable significantly better than chance?)

B. Assuming that both predictor variables are significant, produce the multiple regression equation.

C. Consider a couple that discusses 8 different conversational topics per week and has 25 arguments per week. What is the predicted level of marital satisfaction based on the above regression model?

D. Consider a second couple that discusses 19 different topics per week and has 3 arguments per week. What is the predicted level of martial satisfaction based on the above regression model?

E. Which couple (b or c) is predicted to have the higher level of marital satisfaction?

F.Again, assuming both predictor variables are significant, which of these variables is the best predictor of the criterion variable?