0 or 3 credits
Fall 2025 Lecture Distance Learning Upper DivisionData from last updated 9/15/2025
Fall 2025
Inference in simple and multiple linear regression, residual analysis, transformations, polynomial regression, model building with real data, nonlinear regression. One-way and two-way analysis of variance, multiple comparisons, fixed and random factors, analysis of covariance. Use of existing statistical computer programs. Prerequisite: Coursework in Statistical Methods with a calculus prerequisite.
Learning Outcomes1Learn to build and analyze simple and multiple regression models, analysis of variance and covariance (ANOVA/ANCOVA) for regression, inference for regression, diagnostics and remedial measures for regression, transformations, residual analysis, model building, polynomial and interaction models.
Prerequisites
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