This course is an introduction to the methods and applications of fitting and interpreting multiple regression models. The main emphasis is on the method of least squares. Topics include the examination of residuals, the transformation of data, strategies and criteria for the selection of a regression equation, the use of dummy variables, and tests of fit. The techniques discussed will be illustrated by many real examples involving biological and social science data. Examples and exercises will be implemented in a statistical software package "Stata", but familiarity with Stata is not required.

http://galton.uchicago.edu/~dukic/224-A08/224-A08-web/index.html

Prerequisites:

HSTD 32100; Stat 22000 or equivalent

Required Text:

"Regression Analysis by Example", 4th Edition Chatterjee, Hadi, and Price