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Praise for the Third Edition

-...this is an excellent book which could easily be used as a course text...-
--International Statistical Institute

The Fourth Edition of Applied Linear Regression provides a thorough update of the basic theory and methodology of linear regression modeling. Demonstrating the practical applications of linear regression analysis techniques, the Fourth Edition uses interesting, real-world exercises and examples.

Stressing central concepts such as model building, understanding parameters,...

An R Companion to Applied Regression is a broad introduction to the R statistical computing environment in the context of applied regression analysis.

Regression analysis is the study of the dependence of a response variable on one or more predictor variables. It is among the most widely used methods in statistics. There are several ways to approach regression. First, the types of models that might be used have been expanded from the traditional linear and nonlinear regression models to generalised linear models (GLMs) and others. Second, non- and semi-parametric approaches have been tried, but these have as yet only a limited impact on the general practice of statistics. Finally, computer graphics, including high quality images, motion,...