Applied Regression Analysis *

Course Number: 
333
Credits: 
3
Frequency: 
Fall, Spring
Course Description: 
An introduction to regression with emphasis on the practical aspects. Topics include: straight-line model, role of assumptions, residual analysis, transformations, multiple regression (with some use of matrix notation), multicollinearity, subset selection, and a brief introduction to mixed models.
Course Prerequisites: 
An introductory statistics course (Stat 224 or Stat 301 or Stat 302 or Stat 324 or Stat 371) and Stat 327 (Stat 327 may be taken concurrently).
Course Audience: 
Students majoring in math or statistics or those wishing to take additional statistics courses.