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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 2021 Statistics S4205 section 001
Linear Regression Models

Call Number 14372
Day & Time
TR 7:30pm-10:00pm
Points 3
Grading Mode Standard
Approvals Required None
Instructor Haiyuan Wang
Method of Instruction On-Line Only
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
Subterm 06/28-08/06 (B)
Department Summer Session (SUMM)
Enrollment 5 students (35 max) as of 9:06PM Friday, November 26, 2021
Subject Statistics
Number S4205
Section 001
Division Summer Session
Campus Morningside
Section key 20212STAT4205S001

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SIS update 11/26/21 21:06    web update 11/26/21 21:23