Linear Models in Applied Statistics STAT 350 (3)
Theory and application of linear regression. Normal distribution theory. Hypothesis tests and confidence intervals. Model selection. Model diagnostics. Introduction to weighted least squares and generalized linear models. Prerequisite: STAT 285 and MATH 251. Quantitative.
| Section | Instructor | Day/Time | Location |
|---|---|---|---|
|
Luke Bornn |
Sep 8 – Dec 7, 2015: Tue, 11:30 a.m.–1:20 p.m.
Sep 8 – Dec 7, 2015: Thu, 11:30 a.m.–12:20 p.m. |
Burnaby Burnaby |
|
| D101 |
Luke Bornn |
Sep 8 – Dec 7, 2015: Fri, 8:30–9:20 a.m.
|
Burnaby |
| D102 |
Luke Bornn |
Sep 8 – Dec 7, 2015: Fri, 9:30–10:20 a.m.
|
Burnaby |
| D103 |
Luke Bornn |
Sep 8 – Dec 7, 2015: Fri, 10:30–11:20 a.m.
|
Burnaby |