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Apr 15, 2024
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STAT 2215 - Applied Linear Regression
5L, 5CR This course is intended to be an introduction to regression analysis techniques. Its focus will be on the application of linear regression models in practice but will also cover basic theory of the linear model. Topics include: the simple linear regression model, methodology for fitting models, statistical inference for linear models, diagnostics for verification of assumptions and their remedies, multiple linear regression models, binary indicators and qualitative predictors, diagnostic measures of model fit, variable selection and model building. Other topics including generalized linear models and logistic regression will be covered as time allows. once every two years; our next step is to list this as an option in which our students can choose to complete their STAT A.S. or STAT Certificate.
Prerequisites: STAT 2150
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