I will try to post .pdf copies of graphs used in lecture but not included in the notes. This only includes computer generated graphs. If (when?) I get really busy, graphs will be posted late or not at all, so please do not rely on these.

• Lecture on 5 Sept, Residual plots and Abs. residual plots
• Lab on 18 Sept. Contrast SS examples
• Lecture on 8 Oct. Bivariate normal figures
• Lecture on 17 Oct. Scatterplot matrix (all pairs) for brain data
• Lecture on 17 Oct. Plots to look at relationship for one specific variable in a multiple regression
• Lecture on 5 Nov. rMSE and rMSEP. Square root of MSE (fit to current observations) and MSEP (prediction of new observations) for 1, 2, 3, ... 50 variables in the multiple regression. The true model depends only on X1, X2 and X3. The remainder are noise.