Spring 2027 Statistics GR5205 section 001

LINEAR REGRESSION MODELS

Call Number 14479
Day, Time & Location View Class Schedule & Location in Vergil
Points 3
Grading Mode Standard
Approvals Required None
Instructor Yisha Yao
Type LECTURE
Method of Instruction In-Person
Course Description

Prerequisites: STAT GR5203 and GR5204 or the equivalent. Theory and practice of regression analysis, Simple and multiple regression, including testing, estimation, 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 0 students (75 max) as of 8:06PM Tuesday, October 13, 2026
Subject Statistics
Number GR5205
Section 001
Division Interfaculty
Section key 20271STAT5205W001