Spring 2025 Statistics GU4205 section 001

LINEAR REGRESSION MODELS

Call Number 14014
Day & Time
Location
MW 6:10pm-7:25pm
To be announced
Points 3
Grading Mode Standard
Approvals Required None
Instructor Ronald Neath
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 35 students (35 max) as of 4:05PM Saturday, December 21, 2024
Status Full
Subject Statistics
Number GU4205
Section 001
Division Interfaculty
Open To Barnard College, Columbia College, Engineering:Undergraduate, Engineering:Graduate, GSAS, General Studies, Professional Studies
Section key 20251STAT4205W001