This book provides an in-depth overview of simple and multiple linear regression analysis, one-way and multi-way analysis of variance, and logistic regression. It offers a combination of theoretical and mathematical depth, clear and detailed explanations of concepts, as well as a variety of examples. Each example is explained in detail and accompanied by step-by-step instructions and screenshots. Throughout the book, the accessible, interactive statistical software package JMP is used for data analysis. The reader will therefore develop an understanding of both statistical theory and its applications. As a result, both undergraduate and postgraduate students in applied statistics, engineering, business and social sciences will enjoy this book. Peter Goos is a full professor at the Faculty of Bio-Science Engineering of the University of Leuven and at the Faculty of Business and Economics of the University of Antwerp, where he teaches introductory and advanced courses on statistics and probability. Ellen Vandervieren is an associate professor at the Faculty of Social Sciences and the School of Education of the University of Antwerp, where she teaches courses on statistics and probability. “As accomplished teachers, experienced consultants, and celebrated researchers, Peter Goos and Ellen Vandervieren have written a tremendously useful text on regression and the analysis of variance. The book has it all, from methodological soundness, insightful examples and case studies to attractive and clear graphs, tables, and software displays. The book will positively impact statistical practice of linear models, in classroom and boardroom alike. Above all, it is pleasant to read.” GEERT MOLENBERGHS, Interuniversity Institute of Biostatistics and Statistical Bioinformatics, Hasselt University and University of Leuven, Belgium. “Peter Goos and Ellen Vandervieren have written a thorough and didactical textbook on regression and analysis of variance, with instructive data examples illustrated by practical software. The many modern and state of the art techniques are explained in a conceptual context.” PETER ROUSSEEUW, Department of Mathematics, University of Leuven, Belgium.