STAT 512: Applied Regression Analysis

0 or 3 credits

Fall 2025 Lecture Distance Learning Upper Division

Data from

Fall 2025

last updated 8/2/2025

Fall 2025 Instructors:

Tiantian Qin

GPA

2.93

Catalog

Inference in simple and multiple linear regression, residual analysis, transformations, polynomial regression, model building with real data, nonlinear regression. One-way and two-way analysis of variance, multiple comparisons, fixed and random factors, analysis of covariance. Use of existing statistical computer programs. Prerequisite: Coursework in Statistical Methods with a calculus prerequisite.

Learning Outcomes

1Learn to build and analyze simple and multiple regression models, analysis of variance and covariance (ANOVA/ANCOVA) for regression, inference for regression, diagnostics and remedial measures for regression, transformations, residual analysis, model building, polynomial and interaction models.

Course STAT 512 from Purdue University - West Lafayette.