Use the GSS2016.SAV file located under the Start Here area on Canvas to produce a multiple linear regression model for the variables CONINC (Total family income) and HRS1 (Hours works last week) and EDUC (Respondent education in years). Use the Regression Linear Commands. Paste your output at the end of the document.

a. What percentage of the variation in total family income is explained by the model?

b. Based on the results of the ANOVA table, is this a good model and why or why not?

c. Is the relationship between total family income and hours worked last week significant?

d. For each one year increase in hours worked last week, we would expect total family income to increase by _____.

e. Is the relationship between total family income and years of education statistically significant?

f. For each one year increase in education, we would expect total family income to increase by _____.

g. Based on the Beta values, which variable is a stronger predictor of total family income, years of education or hours worked last week?

h. What is your interpretation of the results? Use complete sentences. Note: since this is multiple regression you need to interpret both variables' relationship with the dependent variable