Fall 2024 Statistics GR5205 section 003

LINEAR REGRESSION MODELS

Call Number 15154
Day & Time
Location
TR 8:40am-9:55am
312 Mathematics Building
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.

Web Site Vergil
Department Statistics
Enrollment 79 students (86 max) as of 9:14PM Wednesday, November 20, 2024
Subject Statistics
Number GR5205
Section 003
Division Interfaculty
Open To GSAS
Note STAT MA students only.
Section key 20243STAT5205W003