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MATH 423. Applied Regression.

Credits: 3
Offered by: Mathematics and Statistics (Faculty of Science)
Terms offered: Fall 2026
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Description

Multiple regression estimators and their properties. Hypothesis tests and confidence intervals. Analysis of variance. Prediction and prediction intervals. Model diagnostics. Model selection. Introduction to weighted least squares. Basic contingency table analysis. Introduction to logistic and Poisson regression. Applications to experimental and observational data.
  • Fall
  • Prerequisites: (MATH 209 or MATH 324) and (MATH 206 or MATH 223 or MATH 236)

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