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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. Quantitative.

Section Instructor Day/Time Location
D100 Derek Bingham
Tu 10:30 AM – 12:20 PM
Fr 10:30 AM – 11:20 AM
REMOTE LEARNING, Burnaby
REMOTE LEARNING, Burnaby
D101 Tu 1:30 PM – 2:20 PM
REMOTE LEARNING, Burnaby
D102 Fr 9:30 AM – 10:20 AM
REMOTE LEARNING, Burnaby
D103 Fr 11:30 AM – 12:20 PM
REMOTE LEARNING, Burnaby