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An Introduction to Regression Graphics

An Introduction to Regression Graphics

R. Dennis Cook, Sanford Weisberg

ISBN: 978-0-470-31686-3 May 2008 280 Pages



Covers the use of dynamic and interactive computer graphics in linear regression analysis, focusing on analytical graphics. Features new techniques like plot 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.

An Instructor's Manual presenting detailed solutions to all the problems in the book is available upon request from the Wiley editorial department.
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.