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Multiple Linear Regression in R Script
Join us for the Fitting Models to Data Not Data to Models workshop series! This workshop series introduces early-career researchers to statistical models beyond linear models, focusing on fitting models to data rather than forcing data to fit model assumptions. Sessions use R and RStudio; prior experience is helpful but not required - beginners are encouraged to review R Fundamentals for Data Analysis or attend the intro workshop.
Multiple Linear Regression in R Script: This workshop will demystify ANOVAs by framing them in the context of linear models with multiple predictors (i.e., multiple linear regression). The session will also introduce attendees to Directed Acyclical Graphs (DAGs) and demonstrate how to use them to infer causality in one's model. By the end of this session participants should be able to fit linear models with more than one predictor, check for collinearity between predictors, and interpret linear models using DAGs.
Questions? Please reach out to the Centre for Scholarly Communication at csc.ok@ubc.ca.
A full schedule of workshops can be found at csc.ok.ubc.ca/workshops/