Statistics 108 - Fall 2007

Department of Statistics

University of California, Davis

Welcome to the homepage for Statistics 108: Regression Analysis

Class Time

 
Lecture
Discussion
Who's Likely to Be Giving It
Professor Jessica Utts
Irina Udaltsova
Location and Time
6 Olson Hall
MWF 4:10 - 5:00
Both discussion sections held on Tuesdays
A01 11-11:50am 7 Wellman
A02 4:10-5pm 261 Olson
Students are responsible for what is covered.

How, when and where to find us:

Jessica Utts Irina Udaltsova
4214 Math Sciences Bldg 1117 Math Sciences Bldg
752-6496 no phone
jmutts@ucdavis.edu isudaltsova-at-ucdavis.edu
Tues and Fri 2:00 - 3:30 or by appointment
SPECIAL OFFICE HOURS FOR FINAL EXAM:
Monday, Dec 10, 10am-noon		 Mon 5:00 - 6:00 and Wed 1:00 - 2:00 or by appointment
SPECIAL OFFICE HOURS FOR FINAL EXAM:
Friday, Dec 7, 5-6

Information about R - Thanks to Michael McAssey for these materials!!

Additional R Resources:
100 page Introduction to R from the R website
Practical Regression and Anova using R, by Julian Faraway

Syllabus, resources and material from class lectures

Practice Exams and Exam Keys (posted after the exam) (Download Adobe Acrobat Reader to read these .pdf files)

Homework Solutions, posted after they are due (Download Adobe Acrobat Reader to read these .pdf files)

  • Assignment #1, Due Wed. October 10
  • R Code for HW1 (pdf)
  • R Code for HW1 (Word)
  • Assignment #2, Due Wed. October 17
  • Assignment #3, Due Wed. October 24
  • R Code for HW3 (pdf)
  • R Code for HW3 (Word)
  • Assignment #4, Due Wed. October 31
  • R Code and results for Exercise 5.24ab (pdf)
  • Assignment #5, Due Wed. November 14
  • R Code for HW5 (pdf)
  • R Code for HW5 (Word)
  • Assignment #6, Due Wed. November 21
  • R Code for HW6 (pdf)
  • R Code for HW6 (Word)
  • Assignment #7, Due Wed. November 28
  • R Code for HW7 (pdf)
  • R Code for HW7 (Word)
  • Assignment #8, Due Wed. December 5

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    E-mail list archive (kerberos log-in and password required)

    Homework assignments:

     
    Date Assigned Date Due Assignment Sections covered and skipped
    Fri Sept 28 None None Overview of Regression
    Mon Oct 1 Wed. Oct 10 Ch. 1: #2, 8, 12, 30 Sections 1.1 to 1.5 (Read 1.4 on your own)
    Wed Oct 3 Wed. Oct 10 Ch. 1: #27; use computer, show work Sections 1.6, 1.7; Skip 1.8
    Fri Oct 5 Wed. Oct 10 Ch. 2: #27 Section 2.1, briefly 2.2, Skip 2.3
    Mon Oct 8 Wed. Oct 10 Ch. 2: #9, 10, 12 Sections 2.4, 2.5; Skip 2.6
    Wed. Oct 10 Wed. Oct 17 Ch. 2: #28ab, 29bde Sections 2.7 (except pgs 68-71) and 2.9; Do 2.8 later; Read 2.10; Skip 2.11
    Fri. Oct 12 Wed. Oct 17 Ch. 3: #2, 9 (draw plot by hand or computer) Sections 3.1 to 3.3; Skip 3.4 to 3.6
    Mon. Oct 15 Wed. Oct 17 Ch. 3: #19,20 Section 3.9; Read 3.8
    Also Mon. Oct 15 Wed. Oct 24 Ch. 3: #18 Already noted above
    Wed. Oct 17 Wed. Oct 24 Ch. 3: #23 AND
    (unrelated to 3.23) Conduct the test for lack of fit on the Height-weight data used in October 10 example.
    Useful handouts:
    Height and Weight Example from October 10, with R output
    Conducting a Lack of Fit Test in R    		 Sections 2.8 and 3.7; Skip Chapter 4
    Fri. Oct 19 Wed. Oct 24 Ch. 5: #1, 3, 8ab (Do these by hand, not computer) Sections 5.1 to 5.6; Read 5.7 (go over in Tues discussion)
    Mon. Oct 22 Wed. Oct 24 Ch. 5: #5 (by hand or computer), 17ab, AND Use matrix algebra to show that the hat matrix H is idempotent. Sections 5.8 to part of 5.11
    Wed. Oct 24 Wed. Oct 31 Ch. 5: #24ab Sections 5.11 and 5.13; read 5.12
    Fri. Oct 26 Wed. Oct 31 Ch. 6: #1, 22ab,
    AND Interpret in your own words the coefficients (b0, b1, b2) for the Example in Section 6.9 (see pg 240 for coefficients).    		 Section 6.1
    Mon. Oct 29 Wed. Oct 31 Ch. 6: No new homework today. Sections 6.2 to 6.5
    Wed. Oct 31 Wed. Nov 14 Ch. 6: #15bc, 16a, 17 Sections 6.6, 6.7
    Mon. Nov 5 Wed. Nov 14 Ch. 7: #5, 26 Sections 7.1 to 7.3; Skip 7.4, 7.5
    Wed. Nov 7 Wed. Nov 14 Ch. 7: #22 Finish Section 7.3 (HW is from Sect. 7.6, will cover Fri.)
    Fri. Nov 9 Wed. Nov 21 Ch. 8: #4abeg (parts a, b, e, g only) Section 7.6; Section 8.1
    Wed. Nov 14 Wed. Nov 21 Ch. 8: #16abc, 21
    Data for 8.16 and 8.20, with headers
    		 Sections 8.3, 8.4
    Fri. Nov 16 Wed. Nov 21 Ch. 8: #17, 18, 20 Sections 8.2, 8.5 (Read 8.6, 8.7)
    Mon. Nov 19 Wed. Nov 28 Ch. 9: #25bc AND Fit the best model from part c and create an appropriate residual plot. Write down the fitted model, show the plot, and comment on whether you think it's a good model.
    Rows 57-113 of Appendix C.1    		 Sections 9.1 (partial), 9.3, 9.4 (Read 9.1, 9.2)
    Wed. Nov 21 No HW CLASS CANCELLED
    Mon. Nov 26 Wed. Nov 28 Ch. 9: #4, 5, 7 Finish Sections 9.3, 9.4 (Skip 9.5, 9.6 or read if interested)
    Wed. Nov 28
    Fri. Nov 30
    Mon. Dec 3    		 Wed. Dec 5 Chapter 10 homework is in this file. There will be no further assignments.

    Chapter 10 homework data, if you need it.    		 Sections 10.2, 10.3, 10.4