Regression Analysis by Example

The essentials of regression analysis through practicalapplications Regression analysis is a conceptually simple method forinvestigating relationships among variables. Carrying out asuccessful application of regression analysis, however, requires abalance of theoretical results, empirical rules, and subjectivejudgement. Regression Analysis by Example, Fourth Edition has beenexpanded and thoroughly updated to reflect recent advances in thefield. The emphasis continues to be on exploratory data analysisrather than statistical theory. The book offers in-depth treatmentof regression diagnostics, transformation, multicollinearity,logistic regression, and robust regression. This new edition features the following enhancements: * Chapter 12, Logistic Regression, is expanded to reflect theincreased use of the logit models in statistical analysis * A new chapter entitled Further Topics discusses advanced areasof regression analysis * Reorganized, expanded, and upgraded exercises appear at the endof each chapter * A fully integrated Web page provides data sets * Numerous graphical displays highlight the significance ofvisual appeal Regression Analysis by Example, Fourth Edition is suitable foranyone with an understanding of elementary statistics. Methods ofregression analysis are clearly demonstrated, and examplescontaining the types of irregularities commonly encountered in thereal world are provided. Each example isolates one or twotechniques and features detailed discussions of the techniquesthemselves, the required assumptions, and the evaluated success ofeach technique. The methods described throughout the book can becarried out with most of the currently available statisticalsoftware packages, such as the software package R. An Instructor's Manual presenting detailed solutions to all theproblems in the book is available from the Wiley editorialdepartment.