Summer 2023 Statistics S4205 section 001

Linear Regression Models

Call Number 10239
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 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 05/22-06/30 (A)
Department Summer Session (SUMM)
Enrollment 8 students (25 max) as of 7:06PM Friday, June 21, 2024
Subject Statistics
Number S4205
Section 001
Division Summer Session
Campus Morningside
Section key 20232STAT4205S001