Applied Regression Analysis
Statistics · 3 hrs Lecture
Offered: Fall Only, Every Year
One shot a year. Offered fall term only, so a clash costs a full year.
STAT-3103 prerequisites
7 courses appear in this chain, up to 2 levels deep. 1 is needed whichever route you take: MATH-1201
Part of this course's requisite text couldn't be parsed into structure, so the chain below may be incomplete. The full wording is under “Requisite courses”.
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Where STAT-3103 counts
Required by 3 programs:
Read from the departments' own calendar pages, where 71 of 141 programs are only partly machine-readable, so treat these as a minimum rather than the full list. Confirm with an academic advisor.
Description
This course provides students with the skills necessary to perform regression analyses and to interpret statistical issues related to regression applications in many areas, especially in health sciences. Topics include linear and nonlinear regression models, residual diagnostics, multicollinearity, model selection, transformations and weighted least squares, measures of influence and generalized linear models with a focus on logistic and Poisson regression. The statistical software R or SAS is used throughout the course and applications to real-life data are an integral part of the course.
Requisite courses
From the 2026-27 undergraduate calendar. Always verify details on WebAdvisor or with an academic advisor before registering.