Linear models
Learning objectives
- list the assumptions of the linear model and understand their meaning;
- use graphical diagnostic tools to validate the model assumptions.
- interpret the coefficients of the log-linear model on a meaningful scale;
- conceptualize the notion of collinearity and understand its impacts on statistical inference.
Content
- Course notes: chapter 4 (Linear regression models), Sections 4.7–4.8.
In class
After class
- Watch the video of Section 6
- Slides on colinearity (pdf and code)
- Exercises 2.4, 2.5, 2.9, 2.10
Slides
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View slides in new window Download PDF of slides