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