More Multiple Regression

Week 9: October 20 & 22

MATH 417/GSR 517 ~ Statistical Applications ~ Fall 2003

Class meeting schedule and topics

Monday, October 20 ~	More about indicator variables
Wednesday, October 22 ~	Inferential tools for multiple regression
Monday, October 27 ~	Variable selection in regression models
Wednesday, October 29 ~	Stepwise methods for variable selection
Monday, November 3 ~	Regression diagnostics and review
Wednesday, November 5 ~	Test 2 on Regression Analysis

Homework Assignments

15. Due Wednesday, October 22

    Required work

    • Read Chapter 10 on Inferences about Regression Coefficients
    • Data Problem 20 on pages 264 and 265 (add races for 2001 through 2003 if you can, but provide specific reference information)

    Optional work

    • Computational Exercises 17, 18, and 19 on pages 263 and 264

16. Due Monday, October 27

    Required work

    • Read Chapter 12 on "Strategies for Variable Selection"
    • Computational Exercise 14 on page 296

    Optional work

    • Conceptual Exercises 1 through 8 on pages 293 and 294
    • Computational Exercises 17 and 18 on page 297

17. Due Wednesday, October 29

    Required work

    • Review Chapter 12 on "Strategies for Variable Selection"
    • Computational Exercise 10 on pages 368

    Optional work

    • Conceptual Exercises 1 through 9 on pages 367 and 368

18. Due Monday, November 3

    Required work

    • Read Chapter 11 on "Model Checking and Refinement"
    • Data Problem 20 on pages 370 and 371

    Optional work

    • Data Problem 21 on pages 371 and 372

19. Due Wednesday, November 5

    Required work

    • Fit a multiple regression model to the Body Fat Percentage dataset that is available at: http://www.math.iup.edu/~tshort/courses/math417/spss/body_fat_fit_data_101203.sav.

      Notes:
      Fit the model to the data for Brozek's estimate of Body Fat Percentage.
      Do not use Density as an explanatory variable.

    • Use your multiple regression model to predict the Brozek's Body Fat Percentages for the subjects in the prediction dataset stored at: http://www.math.iup.edu/~tshort/courses/math417/spss/body_fat_predict_data_101203.sav.

    • Write a report describing any data problems you encountered, any variables you created, the regression models you explored, a summary of your final model, and the predictions you made for the subjects in the prediction dataset.