This week we will briefly describe some of the theory behind linear models, and demonstrate how to fit linear models in R-- along with a basic tutorial of model selection, diagnosing goodness-of-fit, and null hypothesis testing. If you would like to follow along in class with the code shown in the slides, please download the script and data below , and also install the packages 'car', 'bbmle', and 'multcomp'.
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