MATH 4387 - Applied Regression Analysis

Topics include simple and multiple linear regression, model diagnostics and remediation, and model selection. Emphasis is on practical aspects and applications of linear models to the analysis of data in business, engineering and behavioral, biological and physical sciences. Prereq: MATH 3191 and 3800 or 4820. No co-credit with MATH 4830/5830. Cross-listed with MATH 5387. Max hours: 3 Credits. Semester Hours: 3 to 3