STAT 410 - Applied Regression Analysis

(3 units)

Prerequisite: STAT 381.
Fundamental concepts and applications of regression analysis. Simple linear regression: inference, prediction, residual analysis, outlier detection, transformations. Multiple linear regression: influence diagnostics, multicollinearity, variable selection, simultaneous estimation, and inference, validation techniques. Logistic Regression; Poisson Regression; ANOVA; ANCOVA. Statistical software used.

Letter grade only (A-F). (Lecture 3 hours) Not open for credit to students with credit in MATH 480 or MATH 590.