Use a stepwise regression to predict the Income (DV) with School, Ethnicity, Age, and Marital Status (IVs). Describe the process you used to get your results in a Word document. Conduct a collinearity diagnostics test.
Use a stepwise regression to predict the Income (DV) with School, Ethnicity, Age, and Marital Status (IVs)
a. Which variable(s) is/are significant predictors of Income?
b. What is the regression equation?
c. Provide interpretation and analysis of the regression coefficients and explain what they mean in terms of the effect of each IV on the DV.
d. What is the adjusted R squared value? Provide interpretation and analysis of what that means.
e. Compare the means.
f. Analyze the collinearity result.
In addition, you should create an addendum to your “cheat sheet” from Module 3 and include the following tests, what they can be used to show, and the requirements for their use:
- Multiple discriminant analysis
- Logistic regression
- Canonical correlation
- Stratified sample
Submit your Word document no later than 11:59 PM Eastern Time on Sunday.
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