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What is the adjusted r squared value

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Case Study: download and open the helping3.sav file in SPSS. Use a stepwise regression to predict the Income (DV) with School, Ethnicity, Age, and Marital Status (IVs). In a Word document, describe the process that you used to get your results. Conduct a collinearity diagnostics test.

Question a. Which variable(s) is/are significant predictors of Income?

Question b. What is the regression equation?

Question 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.

Question d. What is the adjusted R squared value? Provide interpretation and analysis of what that means.

Question e. Compare the means.

Question 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

 

Reference no: EM133496132

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