161.251 Regression Modelling (15 credits)

Common data analysis and regression techniques for application in science, business and social science. Simple and multiple regression; model diagnostics and transformations; ANOVA, ANCOVA and general linear models with interactions; polynomial and piecewise regression; serial correlation; nonlinear and weighted regression; methods for non-normal responses; methods for variable selection; multicollinearity.

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