Question: We are interested in examining whether the variables shown here in brackets [years of age (age), hours worked per week (hrs1), years of education (educ), years of education for mother (maeduc), and years of education for father (paeduc)] are predictors if individual income (rincmdol). We need to complete the following steps to conduct this analysis:

a. We need to conduct preliminary regression to calculate Mahalanobis distance. We need to identify the critical value for chi square. We need to conduct Explore to identify outliers. Which cases should be removed from further analysis?

b. We need to create a scatterplot matrix. Can we assume linearity and normality?

c. We need to conduct a preliminary regression to create a residual plot. Can we assume normality and homoscedasticity?

d. We need to conduct multiple regression using the Enter method. We also need to evaluate the tolerance statistics. Is multicollinearity a problem?

e. Does the model significantly predict rincmdol? Explain.

f. Which variables significantly predict rincmdol? Which variable is the best predictor of the DV?

g. What percentage of variance in rincmdol is explained by the model?

h. We need to write the regression equation for the standardized variables.

i. We need to explain why the variables of mother’s and father’s education are not significant predictors of rincmdol?