Multiple regression

Week 8: October 13 & 15

MATH 417/GSR 517 ~ Statistical Applications ~ Fall 2003

Class meeting schedule and topics

Monday, October 13 ~	Polynomial regression and transformations
Wednesday, October 15 ~	Indicator variables
Monday, October 20 ~	Inference in multiple regression

Homework Assignments

12. Due Monday, October 13

    Required work

    • Read Chapter 9 on "Multiple Regression"
    • Any two of Data Problems 22, 23, 24, and 25 on pages 230 through 233

    Optional work

    • Conceptual Exercises 1 through 14 on pages 226 and 227
    • Computational Exercises 15 through 21 on pages 227 through 230
    • Any of the remaining Data Problems 22, 23, 24, and 25 on pages 230 through 233

13. Due Wednesday, October 15

    Required work

    • Review Chapter 9 on "Multiple Regression"
    • Computational Exercise 13 on page 260

    Optional work

    • Conceptual Exercises 1 through 11 on pages 258 through 260

14. Due Monday, October 20

    Required work

    • Review Chapter 9 especially pages 245 through 251
    • Computational Exercise 14 on pages 260 and 261

    Optional work

    • Computational Exercises 12, 15, and 16 on pages 260 through 263

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

19. Due Wednesday, November 3

    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.