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Fall 2022 Statistics GR5205 section 001
LINEAR REGRESSION MODELS

Call Number 13826
Day & Time
Location
TR 2:40pm-3:55pm
301 Pupin Laboratories
Points 3
Grading Mode Standard
Approvals Required None
Instructor Philip Protter
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 45 students (120 max) as of 5:33PM Monday, September 26, 2022
Subject Statistics
Number GR5205
Section 001
Division Interfaculty
Open To GSAS
Campus Morningside
Note STAT MA students only
Section key 20223STAT5205W001

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SIS update 09/26/22 17:33    web update 09/26/22 21:16