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Linear Regression

In this Class, participants should understand the four principles of Linear Regression: Broad Structure, Predictor variable attributes, Response variable attributes, and Other Considerations. The Class is broken into three modules: "A Bird's Eye View", "Leaves And Trees", and "Deep Dive." The purpose of this class is to educate on the method of Logical Regression and its application.

Duration: 3.5 hours

Software Program Used: R, SAS


In this class, participants will study various tests applied in statistical analysis: T-test, ANOVA, Linear regression, Poisson regression, Logistic regression, Mixed model, and Generalized Linear Mixed Model.

Duration: 1.5 hours

Software Program Used: SAS