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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
Jiguo Cao
Sep 6 – Dec 5, 2016: Tue, 11:30 a.m.–1:20 p.m.
Sep 6 – Dec 5, 2016: Thu, 11:30 a.m.–12:20 p.m.
Burnaby
Burnaby
D101 Jiguo Cao
Sep 6 – Dec 5, 2016: Tue, 1:30–2:20 p.m.
Burnaby
D102 Jiguo Cao
Sep 6 – Dec 5, 2016: Fri, 9:30–10:20 a.m.
Burnaby
D103 Jiguo Cao
Sep 6 – Dec 5, 2016: Fri, 10:30–11:20 a.m.
Burnaby