Cook R., Weisberg S. An Introduction to Regression Graphics 1994

Textbook in PDF format

Covers the use of dynamic and interactive computer graphics in linear regression analysis, focusing on analytical graphics. Features new techniques like Description rotation. The authors have composed their own regression code, using Xlisp-Stat language called R-code, which is a nearly complete system for linear regression analysis and can be utilized as the main computer program in a linear regression course. The accompanying disks, for both Macintosh and Windows computers, contain the R-code and Xlisp-Stat.
Getting Started.
Simple Regression Plots.
Two-Dimensional Plots.
Scatterplot Matrices.
Three-Dimensional Plots.
Visualizing Linear Regression with Two Predictors.
Visualizing Regression Without Linearity.
Finding Dimension.
Predictor Transformations.
Response Transformations.
Checking Models.
Assessing Predictors.
Influence and Outliers.
Confidence Regions.
Appendices.
References.
Index