**Learning objectives**

- Work with more examples of models
- Choice of modeling terms and Simpson’s paradox
- Geometry of data and models. Every model coefficient corresponds to an explanatory model vector.

**Before class**

- Read textbook sections 7.1-7.9
- Complete Assignment Nine on the homework server.
- Post to Piazza

**In class**

- Cautionary examples: Simpson’s paradox, multicollinearity (redundancy)
- Least squares worksheet
- A quick glance at the model.matrix command – modeling vectors

**Daily Schedule|Rstudio**|**Piazza**|Rcommands|Intro to Mosaic|Homework Server