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STAT 423, Linear Regression
Winter Quarter 2004

Prerequisite: either 342, STAT/MATH 390, 421, or STAT/ECON 481

Class Times: MWF, 2:30 - 3:20pm, W (TA section) 3.30-4.20pm
Room: THO 202 (MW); CMU B-027
Text: Multiple Regression: A Primer , Paul D. Allison (Required).

Instructor: Matthew Stephens
Office: Padelford C315, Tel 543-4302
Office Hours: Th 2-3
e-mail: stephens@stat.washington.edu

TA: Toby White

Announcements:

Here is the take-home Final.

Here is last year's Midterm and the cribsheet containing equations that might be useful.

Outline:

A first course on regression, aimed at mathematically-trained undergraduates. For a slightly higher-level class, see Stat 504. (In particular, Stat 504 takes a linear algebra approach to the subject. We will touch on linear algebra only briefly).

The course will include both basic theory and applications. The text is aimed more towards the practical applications side - we will supplement this with theory in class Monday and Wednesday. Friday class will take place in the MSCC Computer lab classroom in the basement of the Communications building (CMU B-027). Computing sessions will make use of the R statistical package, which (if you want to use it at home) is available free here