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Introduction to Regression in R
February 21 @ 9:00 am - 12:00 pm
Regression analysis is one of the most powerful statistical techniques that is used to explain variability in a response (dependent) variable as a function of one or more predictor (explanatory or independent) variables. The aim of this seminar is to help participants increase their skills in using regression analysis with R. The seminar does not teach regression, per se, but focuses on how to perform regression analyses using R. However, it gives a very brief review on the theoretical background as necessary. It is assumed that participants have had at least a one quarter/semester course in regression (linear models) or a general statistical methods course that covers simple and multiple regression and have access to a regression textbook that explains the theoretical background of the materials covered in this seminar. These materials also assume basic familiarity with R, for example that you have taken the Introduction to R seminar or have equivalent knowledge of R. The seminar begins with simple regression and generalize the methods to multiple regression, followed by regression diagnostics, regression with categorical predictors, and finally a quick look at the generalized linear model and logistic regression. The notes for the workshop are here. The sign-up link is here.