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\u003cp\u003e\u003cb\u003eA comprehensive and current introduction to the fundamentals of regression analysis\u003c/b\u003e\u003c/p\u003e \u003cp\u003e\u003ci\u003eIntroduction to Linear Regression Analysis, 6th Edition\u003c/i\u003e is the most comprehensive, fulsome, and current examination of the foundations of linear regression analysis. Fully updated in this new sixth edition, the distinguished authors have included new material on generalized regression techniques and new examples to help the reader understand retain the concepts taught in the book.\u003c/p\u003e \u003cp\u003eThe new edition focuses on four key areas of improvement over the fifth edition:\u003c/p\u003e \u003cul\u003e \u003cli\u003eNew exercises and data sets\u003c/li\u003e \u003cli\u003eNew material on generalized regression techniques\u003c/li\u003e \u003cli\u003eThe inclusion of JMP software in key areas\u003c/li\u003e \u003cli\u003eCarefully condensing the text where possible\u003c/li\u003e \u003c/ul\u003e \u003cp\u003e\u003ci\u003eIntroduction to Linear Regression Analysis\u003c/i\u003e skillfully blends theory and application in both the conventional and less common uses of regression analysis in today's cutting-edge scientific research. The text equips readers to understand the basic principles needed to apply regression model-building techniques in various fields of study, including engineering, management, and the health sciences.\u003c/p\u003e |
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