STAT 512 - Applied Regression Analysis

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

Preparation for Course
P: 511 or 517 or 528 with a grade of C or higher.

Cr. 3.
Notes
Note: Prerequisites in mathematics and statistics are intended as a guide and may be satisfied through completion of equivalent or more advanced courses. Consent of the course instructor can substitute for completion of specified prerequisites, and students are invited to discuss their eligibility for enrollment with their advisors or the instructor of the course.
Dual Level Course
Dual Level, Undergraduate-Graduate