Fall 2024 Statistics GU4205 section 001

LINEAR REGRESSION MODELS

Call Number 15147
Day & Time
Location
TR 1:10pm-2:25pm
313 Fayerweather
Points 3
Grading Mode Standard
Approvals Required None
Instructor Jingchen Liu
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.
Web Site Vergil
Department Statistics
Enrollment 11 students (75 max) as of 5:06PM Sunday, February 2, 2025
Subject Statistics
Number GU4205
Section 001
Division Interfaculty
Note Undergraduate students only.
Section key 20243STAT4205W001