![]() 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 9:05PM Wednesday, October 4, 2023 |
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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