STAT/CS&SS 504 - Winter 2008 - Syllabus

Applied Regression

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Instructor: Elena Erosheva
C 14C Padelford Hall
(206) 685-0166 
elena at stat.washington.edu

Teaching Assistant: Yuzhen Li
Office hours: Padelford Hall, C329
Phone: (206) 543-8298
Research office: BLOEDEL Hall, 361
Phone: (206) 685-2198
yzhli at u.washington.edu

Course description

This course provides an introduction to the most frequently used statistical model, namely, linear regression. Topics include simple and multiple linear regression, least squares and weighted least squares estimation, hypothesis testing and statistical inference, detecting violations of assumptions and ways to deal with them, as well as statistical model-building strategies.

Prerequisites

One of the following: (a) STAT 502, (b) STAT 421, (c) STAT 342, (d) STAT 390, (e) a grade of at least 3.0 in STAT 311, plus MATH 126, (f) SOC 505; or (g) permission of instructor.

Course text (required)

  • Weisberg, S. (2005). Applied Linear Regression, 3rd edition, Wiley.

Other course materials (optional)

  • Faraway, J. J. (2005), Linear Models with R, Chapman & Hall
  • Fox, J. (1997), Applied Regression Analysis, Linear Models, and Related Methods, Sage.

Computing

Most of the homework assignments will involve computing. The preferred software is R language. R can be downloaded for free at The Comprehensive R Archive Network (CRAN) where good introductory documentation is also available. R is very similar to the commercial software S-PLUS.

Discussion sessions and homework

Discussion sessions will be a combination of homework reviews, project group work, and short presentations by the TA. Completed homework assignments should be handed in to the TA at the beginning of a discussion section. No late homework will be accepted, except in cases of documented emergency. If you are unable to come to a discussion section, please complete and e-mail your assignment to the TA prior to the due time. In addition, the TA may ask you to provide a hard copy.

Solutions of the homework assignments will be presented by the class participants. At the beginning of each discussion section, the TA will select presenters at random with replacement from the class list. Students will have the option of "passing" if they are not prepared to give a solution. Presenters will be able to borrow their homework assignments for reviewing their solutions on the blackboard. A laptop and a projector will be available in case 

Course weekly schedule at a glance

Time Monday Tuesday Wednesday Thursday Friday
9:00- 9:30 Class staff meeting. Class staff meeting.
1:30-2:20 Class lecture (DEN 316). Class lecture (DEN 316). Class lecture (DEN 314). Discussion session (DEN 316).
2:30-3:20 Elena's office hour.   Elena's office hour.  
4:00-5:00 Yuzhen's office hour Yuzhen's office hour  

Homework assignments and grades

  • Final grades will be based on:
    • homework assignments (40%, the lowest homework score not included);
    • midterm exam (20%);
    • a group project:
      • written project proposal and its presentation (5%),
      • final project presentation (10%),
      • final project report (25%).

Students with disabilities

If you would like to request academic accommodations due to a disability, please contact Disabled Student Services, 448 Schmitz, 543-8924 (V/TTY).  If you have a letter from Disabled Student Services indicating you have a disability that requires academic accommodations, please present the letter to me so we can discuss the accommodations you might need for this class.