STAT 3113 — Regression Analysis

This course introduces the methods for fitting and interpreting regression models. Topics include simple linear regression (SLR), multiple linear regression (MLR), model checking, variable selection methods, dummy variables, diagnostic measures, logistic regression, and time series analysis. Instruction will include the use of statistical programming language.

Part of

• Biology - Biostatistics Option, Bachelor of Science
• Fisheries and Wildlife Science - Fisheries Option, Bachelor of Science
• Fisheries and Wildlife Science - Wildlife Option, Bachelor of Science
• Applied Statistics, Certificate of Proficiency
• Mathematics, Bachelor of Science

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