An introduction to regression graphics - Info and Reading Options

The Open Library:

Understanding how a response variable depends on one or more predictor variables is a universal scientific problem. Regression analysis consists of ideas and methods for addressing this problem. Historically, regression methods have been largely numerical, with graphics playing an important but subsidiary role. By allowing informative and novel visualizations of regression data, modern computer hardware and software promise to reverse the historical roles of numerical and graphical regression methods. How shall this be done in practice? What can be learned from graphs and which graphs should be drawn? How can graphs be used to learn about fundamental features of regression problems? . An Introduction to Regression Graphics answers these questions and more, providing the ideas, methodology, and software needed to use graphs in regression. From simple manipulations, such as changing the aspect ratio and marking points, to more sophisticated ideas like extracting smooths or looking at uncorrelated directions in 3D plots, R. Dennis Cook and Sanford Weisberg provide step-by-step software instructions and concise explanations of how graphs can be used in almost any regression problem.

Search for “An introduction to regression graphics” downloads:

Visit our Downloads Search page to see if downloads are available.

Find “An introduction to regression graphics” in Libraries Near You:

Read or borrow “An introduction to regression graphics” from your local library.

• The WorldCat Libraries Catalog: Find a copy of “An introduction to regression graphics” at a library near you.