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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, MATH 251, and one of MATH 232 or MATH 240, all with a minimum grade of C-. Quantitative.

Section Instructor Day/Time Location
D100 Payman Nickchi
Mo 8:30 AM – 9:20 AM
Th 8:30 AM – 10:20 AM
WMC 3210, Burnaby
WMC 3210, Burnaby
D101 Fr 9:30 AM – 10:20 AM
AQ 5008, Burnaby
D102 Fr 10:30 AM – 11:20 AM
AQ 5035, Burnaby
D103 Fr 11:30 AM – 12:20 PM
AQ 5004, Burnaby