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If you want to follow along with the script for the class, please install the packages 'car' and 'bbmle.' Both of these are in CRAN. If you are unfamiliar with how to install packages, check the home wiki page of this course for instructions.
What you need to know before this class. If you are unfamiliar with these, check with our past lessons and stats resources.
- What a probability distribution is.
- A general sense of what ANOVA and regression are.
- Familiarity with terms like 'predictor variable,' 'covariate', 'response variable', etc.
- A general idea of how lease squares works. (Khan academy has a nice demonstration of this https://www.khanacademy.org/math/probability/regression)
- What objects and functions are within the R environment.
Class Materials:
Lecture Slides: coming soonlinear_models_Pope.pdf
Example Data: Bombus_pesticide.csv
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