Stat 423: Applied Regression and Analysis of Variance
Winter quarter 2007

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General information

Instructor: Marloes Maathuis, office: PDL B-307, phone: 685-7379, email: marloes[at]stat.washington.edu,
Office hours: W, Th 5:00pm-6:00pm
TA: Kapil Phadnis, office: PDL B-222, phone: 616-9262, email: kapilp[at]u.washington.edu
Office hours: T 1:30pm-2:30pm, Th 1:30pm-2:30pm
Lectures: MWF 2:30pm-3:20pm, MOR 226
Computer lab: W 3:30pm-4:20pm, MGH 058

Announcements:

03/02/07: R-code for chapter 11 has been posted.
03/01/07: Notes for chapter 11 have been posted.
02/28/07: Guidelines for the final reports of the group project are posted, see the tab 'Handouts'. Links to two example articles are posted on EPost.
02/27/07: I will have an extra office hour on Thursday to talk about your projects. So my office hours this week are: W 5pm-6pm and Th 4pm-6pm.
02/22/07: R-code for the fruitfly data has been posted. Lecture notes about model building have been posted. R-code for model building has been posted. Homework 7 has been posted.
02/19/07: Kapil and I will both be available during lab tomorrow for questions about your group projects. I will also have extra office hours this week: W 4:30pm-6:00pm and Th 4:00pm-6:00pm.
02/19/07: Information about the group projects has been posted, together with the schedule for finals week. See the tab 'Projects'. I corrected a few small typos in question 2 of homework 6.
02/18/07: There was a typo in homework 6, in the last sentence of problem 1, part (b). This has been corrected.
02/17/07: Homework 6 has been posted.
02/12/07: Notes and R-code for chapter 7 has been posted.
02/09/07: Homework 5 has been posted. R-code for today's lecture has been posted. Stem-and-leaf diagrams for the in-class midterm and homework 4 are posted at Epost, together with several announcements about the class and the group projects.
02/07/07: R-code for today's lecture and lab has been posted. There are many hints about the midterm on Epost. The schedule for the group projects has been updated, see the tab 'Schedule'.
02/02/07: The midterm has been posted. It is due on Friday February 9. Good luck!
01/24/07: The data set about the ozone measurements has been posted (see the tab 'Rcode'). The R-code for today's lab has been posted. Kapil will give today's lecture. The midterm on Jan 29 will be in a different room: Smith 102.
01/22/07: I will have no office hour on Wednesday this week, and will have a double office hour on Thursday instead, from 4pm-6pm.
01/20/07: Homework 4 has been modified (I moved Exercise 5 to the next homework). The notes for chapter 5 have been updated (changes are in slides 30-41). The notes for chapter 6 have been posted. R-code for chapter 6 has been posted.
01/19/07: Homework 4 has been posted. The typo in the Chapter 5 notes has been corrected.
01/19/07: Guidelines for the tentative proposals for the group projects have been posted, see the tab 'Handouts'.
01/12/07: R-code for chapter 5 has been posted.
01/11/07: I corrected a typo in Homework 2, Question 1. The words 'of question 3(a)' have been removed. The notes for chapter 5 have been posted. Homework 3 has been posted.
01/10/07: The R-code for today's lab has been posted, plus some code that is useful to (interactively) identify points in scatterplot or boxplots. The schedule has been updated. Note the dates of the in-class and take-home midterms. Also, note that there are 2 hour classes on Friday Jan 12 and Friday Jan 19, and there is no class on Friday February 2 and Monday February 5.
01/08/07: Homework 2 has been modified. I dropped that last two questions because I probably won't cover that material in lecture on time. I also added two small parts to question 5.
01/05/07: Notes and R-code for chapters 2 and 4 have been posted (for week 2). Homework 2 has been posted.
01/04/07: The dates in the schedule have been corrected. R-code and notes for chapters 3 and 1 have been posted.
01/03/07: The syllabus and the schedule have been updated, see the tabs 'Syllabus' and 'Schedule'.
01/02/07: I've added links to FAQ on R for Windows and Mac OS, see the tab 'Links'.
01/02/07: Homework 1 has been updated, see the tab 'Homeworks'. Note that it is due on Monday January 7.
12/27/06: Welcome to the class website! Please see the syllabus for details on the course, but here is a quick overview: Stat 423 is a 4-credit first course on multiple regression, aimed at mathematically trained undergraduates. Prerequisites for the course are: Stat 342, Stat/Math 390, Stat 421, or Stat/Econ 481. Math 308 is recommended. For a slightly higher level class, please see Stat 504. We will use "Applied Regression Analysis, Linear Models, and Related Methods", by John Fox (1997) as the main text for the course. The main goals for the class are:
  • That you learn to run a multiple regression analysis, using the statistical software R, and to interpret the results correctly.
  • That you learn to interpret and critique regression analyses done by others.