EasyR: An EasyR way to understand interaction effects using the GLM

This video looks at how to model and interpret interactions between variables in R. Interactions are simply situations where the effect of a predictor variable on some outcome "depends" on the effect of a third variable. We will do this for multiple numeric predictors and categorical predictors. Links to video sections and data files are in the description below. Data files used in this video: diet.csv: https://www.mediafire.com/file_premium/l0twfsoxwcms5t3/diet.csv/file partypeople.csv: https://www.mediafire.com/file_premium/1yry91w3gecej7o/partypeople.csv/file Sections: 00:00​ Intro and loading prerequisites 01:42​ Interaction between a numeric predictor and a categorical predictor 19:28 Interaction between two categorical predictors 28:34 Interaction between two numeric predictors Subscribe here: https://www.youtube.com/channel/UCJPwNOsvugkB2ImVCiaLytA?sub_confirmation=1