STAT 3335 Applied Regression Analysis

This course discusses applications of regression in various areas of study. Topics include simple and multiple linear regression, ordinary and weighted least square techniques, detection of outliers, multicollinearity, variable selection, dummy variables, and logistic regression.

Credits

3

Prerequisite

MATH 2318 and STAT 3301 both with grade of 'C' or better.

Schedule Type

Lecture

Grading Basis

Standard Letter (A-F)

Administrative Unit

School of Mathematical & Stat