Books on regression and the analysis of variance abound many are introductory, many are theoretical. While most of them do serve a purpose, the fact remains that data analysis cannot be properly learned without actually doing it, and this means using a statistical software package. There are many of these to choose from, all with their particular s

chapter 1|11 pages


chapter 2|16 pages


chapter 3|30 pages


chapter 4|25 pages


chapter 5|13 pages

Problems with the Predictors

chapter 6|21 pages

Problems with the Error

chapter 7|13 pages


chapter 8|12 pages

Variable Selection

chapter 9|15 pages

Shrinkage Methods

chapter 10|4 pages

Statistical Strategy and Model Uncertainty

chapter 11|12 pages

Insurance Redlining—A Complete Example

chapter 12|4 pages

Missing Data

chapter 13|14 pages

Analysis of Covariance

chapter 14|8 pages

One-Way Analysis of Variance

chapter 15|14 pages

Factorial Designs

chapter 16|14 pages

Block Designs