{"product_id":"introduction-to-linear-regression-analysis-6e-solutions-manual-isbn-9781119578697","title":"Introduction to Linear Regression Analysis, 6e Solutions Manual","description":"\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,\u003c\/i\u003e 6th Edition 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 \u003cp\u003ePreface vii\u003c\/p\u003e \u003cp\u003e2 Simple Linear Regression 1\u003c\/p\u003e \u003cp\u003e3 Multiple Linear Regression 13\u003c\/p\u003e \u003cp\u003e4 Model Adequacy Checking 29\u003c\/p\u003e \u003cp\u003e5 Transformations and Weighting to Correct Model Inadequacies 59\u003c\/p\u003e \u003cp\u003e6 Diagnostics for Leverage and Influence 74\u003c\/p\u003e \u003cp\u003e7 Polynomial Regression Models 79\u003c\/p\u003e \u003cp\u003e8 Indicator Variables 86\u003c\/p\u003e \u003cp\u003e9 Multicollinearity 95\u003c\/p\u003e \u003cp\u003e10 Variable Selection and Model Building 100\u003c\/p\u003e \u003cp\u003e11 Validation of Regression Models 105\u003c\/p\u003e \u003cp\u003e12 Introduction to Nonlinear Regression 108\u003c\/p\u003e \u003cp\u003e13 Generalized Linear Models 113\u003c\/p\u003e \u003cp\u003e14 Regression Analysis of Time Series Data 121\u003c\/p\u003e \u003cp\u003e15 Other Topics in the Use of Regression Analysis 125\u003c\/p\u003e \u003cp\u003e\u003cb\u003eDOUGLAS C. MONTGOMERY,\u003c\/b\u003e PHD, is Regents Professor of Industrial Engineering and Statistics at Arizona State University. Dr. Montgomery is the co-author of several Wiley books including Introduction to Linear Regression Analysis, 5th Edition.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eELIZABETH A. PECK,\u003c\/b\u003e PHD, is Logistics Modeling Specialist at the Coca-Cola Company in Atlanta, Georgia.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eG. GEOFFREY VINING,\u003c\/b\u003e PHD, is Professor in the Department of Statistics at Virginia Polytechnic and State University. Dr. Peck is co-author of Introduction to Linear Regression Analysis, 5th Edition.\u003c\/p\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47989461745893,"sku":"NP9781119578697","price":25.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9781119578697.jpg?v=1761784193","url":"https:\/\/k12savings.com\/es\/products\/introduction-to-linear-regression-analysis-6e-solutions-manual-isbn-9781119578697","provider":"K12savings","version":"1.0","type":"link"}