An introduction to regression graphics
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.
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Simple Regression Plots
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2D view 3D plot added-variable plot ALP plots analysis BigMac C+R plot cancer-rate chapter cig-consumption coefficients confidence region Cook's distance correlation curve Deletions dependence Detetions error estimate ethanol example fitted values graph graphical histogram horizontal axis ID structure ideal summary plot inverse partial response inverse regression iseq Join points linear combination linear model linear predictors linear regression linear trend Load the file method nonconstant variance nonlinear Ozone p-value partial response plots plot controls plot's menu point cloud power transformation probability plot push R-code R-data folder Recall/Extract regression dialog regression function regression menu regression model regression problem Rem Lin Trend residual plot response variable sample scatterplot matrix Section select the item shown in Figure slice slide bar slider smoother Statistical Stice Ave NIL structural dimension Studentized residuals target model variance function vertical axis visual Xlisp-Stat Zero tine