APPLIED REGRESSION ANALYSIS
APPLIED REGRESSION ANALYSIS
2025 Fall Term
Statistics 420
This is a second course in regression analysis and its applications. Topics include correlation, simple and multiple linear regression, logistic regression, model assumptions, inference of regression parameters, regression diagnostics and remedial measures, categorical predictors, interaction effects of predictors, multicollinearity, and model selection. Real data are emphasized and analyzed using statistical software.
Other Requirements: PREREQ: STAT 342 OR INSTRUCTOR CONSENT
Class Schedule
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