Applied Linear Regression

Master linear regression techniques with a new edition of a classictext
Reviews of the Second Edition:

„I found it enjoyable reading and so full of interestingmaterial that even the well-informed reader will probably findsomething new. a necessity for all of those who do linearregression.“ --Technometrics, February 1987
„Overall, I feel that the book is a valuable addition to the nowconsiderable list of texts on applied linear regression. It shouldbe a strong contender as the leading text for a first seriouscourse in regression analysis.“ --American Scientist, May-June 1987
Applied Linear Regression, Third Edition has been thoroughlyupdated to help students master the theory and applications oflinear regression modeling. Focusing on model building, assessingfit and reliability, and drawing conclusions, the text demonstrateshow to develop estimation, confidence, and testing proceduresprimarily through the use of least squares regression. Tofacilitate quick learning, the Third Edition stresses the use ofgraphical methods in an effort to find appropriate models and tobetter understand them. In that spirit, most analyses and homeworkproblems use graphs for the discovery of structure as well as forthe summarization of results.
The Third Edition incorporates new material reflecting thelatest advances, including:

* Use of smoothers to summarize a scatterplot * Box-Cox and graphical methods for selectingtransformations * Use of the delta method for inference about complexcombinations of parameters * Computationally intensive methods and simulation, including thebootstrap method * Expanded chapters on nonlinear and logistic regression * Completely revised chapters on multiple regression, diagnostics, and generalizations of regression
Readers will also find helpful pedagogical tools and learningaids, including:

* More than 100 exercises, most based on interesting real-worlddata * Web primers demonstrating how to use standard statisticalpackages, including R, S-Plus¯®, SPSS¯®, SAS¯®, andJMP¯®, to work all the examples and exercises in thetext * A free online library for R and S-Plus that makes the methodsdiscussed in the book easy to use
With its focus on graphical methods and analysis, coupled withmany practical examples and exercises, this is an excellenttextbook for upper-level undergraduates and graduate students, whowill quickly learn how to use linear regression analysis techniquesto solve and gain insight into real-life problems.