Question 1

Interpret the results of the following regression equation for the category college education:

Y = life expectancy, with higher values indicating a longer life, X = education binary/dummy variable where 0 = less than college education and 1 = college education or higher.

In other words, how much longer do college educated people live on average than people without a college education?

Y(pred)=76.8+(4.25)X

Question 2

Using the correlation matrix below, is there a direct correlation between satisfaction with sex life (satisfaction, Y) and the number of years the person has been married (years, X), controlling for frequency of sex (frequency, Z)? (By the way, yes, this is what research finds on this topic!)

Table 3: Regression of Hours per day watching TV, GSS 2006 b (SE) beta Sex (Female) 0.198 (0.184) 0.043 1.073 Race (Non-White) 0.565 (0.213) 0.110 2.652 Income (in dollars) 0.000 (0.000) -0.220 -5.350 # of Siblings 0.063 (0.030) 0.086 2.081 R-squared 0.084 * p <.05 p correlation matrix gss hours per day sex race income of watching tv white dollars siblings descriptive statistics variable mean ...............>