Fall 2024 Statistics GR5205 section 004

LINEAR REGRESSION MODELS

Call Number 15155
Day & Time
Location
MW 8:40am-9:55am
614 Schermerhorn Hall [SCH]
Points 3
Grading Mode Standard
Approvals Required None
Instructor Yuqi Gu
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.

Web Site Vergil
Department Statistics
Enrollment 47 students (86 max) as of 9:14PM Wednesday, November 20, 2024
Subject Statistics
Number GR5205
Section 004
Division Interfaculty
Open To GSAS
Note STAT MA students only.
Section key 20243STAT5205W004