Fall 2025 Statistics GU4205 section 003

LINEAR REGRESSION MODELS

Call Number 13744
Day, Time & Location View Class Schedule & Location in Vergil
Points 3
Grading Mode Standard
Approvals Required None
Instructor Gabriel Young
Type LECTURE
Method of Instruction In-Person
Course Description Prerequisites: STAT GU4204 or the equivalent, and a course in linear algebra. Theory and practice of regression analysis. Simple and multiple regression, testing, estimation, prediction, and confidence procedures, modeling, regression diagnostics and plots, polynomial regression, colinearity and confounding, model selection, geometry of least squares. Extensive use of the computer to analyse data.
Department Statistics
Enrollment 22 students (30 max) as of 9:06PM Wednesday, May 20, 2026
Subject Statistics
Number GU4205
Section 003
Division Interfaculty
Section key 20253STAT4205W003