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NOTE: Course information changes frequently, including Methods of Instruction. Please revisit these pages periodically for the most recent and up-to-date course information.


Summer 2023 Statistics GR5205 section 001
LINEAR REGRESSION MODELS

Call Number 10247
Day & Time
Location
MTWR 6:15pm-7:50pm
520 Mathematics Building
Points 3
Grading Mode Standard
Approvals Required None
Instructor Alex Pijyan
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
Subterm 05/22-06/30 (A)
Department Summer Session (SUMM)
Enrollment 0 students (15 max) as of 9:06PM Wednesday, June 12, 2024
Subject Statistics
Number GR5205
Section 001
Division Summer Session
Open To GSAS
Campus Morningside
Note Statistics MA students only
Section key 20232STAT5205W001

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SIS update 06/12/24 21:06    web update 06/15/23 09:15