STAT 425 Week 05 - Regression Diagnostics - Part 2

Discusses how to check for violations of the Gauss-Markov modeling assumptions of constant variance, uncorrelated errors and linearity of the mean function. We consider both graphical and statistical methods to test for non-constant variance. We also consider the Box-Cox family of power transformations of the response variable, and demonstrate likelihood based selection of the transformation.