Illustrations, 3D plots, residual plots 5. Graphics for regressions with a binary response 6. Graphics for model assessment. Throughout the course, we will include hints for teaching, and demonstrate the use of the R-code for doing the analyses suggested. The target population is graduate students, university-level instructors who teach regression analysis, and practicing statisticians who wish to learn the latest ideas in using graphs to understand regression problems.
Regression analysis is one of the fundamental tools of the practicing statistician.
The traditional role of graphics in regression, at least with many pre- dictors, has really been peripheral, dealing mostly with questions of model adequacy. Regression graphics moves graphs to the center of analysis. This requires some new theory, but this theory can be presented at a very general and intuitive level. Our hope is to encourage the participants to use this approach in their own work, and particularly in their own teaching. Much of their research over the last two decades, and much of their teaching, has been in the areas of regression and graphics.