Learning objectives

• How a model partitions variation
• Definition of R squared and correlation

Before class

• Read Chapter 8, start Chapter 9
• Do assignment Ten
• Post to Piazza

In class

• Introduction to knitR.
• Presentation of Car project (group project): See assignment “Car Project” prob 7-23 on the assignment server. Here’s a template for your report. Due by Tuesday Feb 25  class.  Upload your html document to Moodle.
•  If needed, consult Instructions for reading Google spreadsheet into R (Prof Flath recommends using the method described in the section “Without RCurl”.  However, you are welcome to try the other method if you wish.)
  
• What is Rsquared for a linear model?
• Quiz 3 (on linear models and their coefficients and formulas.)

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