Course: STAT 22400=PBHS 32400
Title: Applied Regression Analysis
Instructor(s): Kendra Burbank
Teaching Assistant(s): Sen Na, Jiacheng Wang, Dongyue Xie
Class Schedule: Section 1: TR 11:20 AM-12:40 PM (Remote)
Textbook(s): Chatterjee, Hadi, Price, Regression Analysis By Example, 5th edition.
Description: This course introduces the methods and applications of fitting and interpreting multiple regression models. The primary emphasis is on the method of least squares and its many varieties. 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, tests of fit, nonlinear models, biases due to excluded variables and measurement error, and the use and interpretation of computer package regression programs. The techniques discussed are illustrated by many real examples involving data from both the natural and social sciences. Matrix notation is introduced as needed.