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dc.contributor.authorCarlberg, Conraden_US
dc.date.accessioned2017-12-06T02:31:30Z
dc.date.available2017-12-06T02:31:30Z
dc.date.issued2016en_US
dc.identifier.otherHPU5160851en_US
dc.identifier.urihttps://lib.hpu.edu.vn/handle/123456789/28306
dc.description.abstractThis is today’s most complete guide to regression analysis with Microsoft® Excel for any business analytics or research task. Drawing on 25 years of advanced statistical experience, Microsoft MVP Conrad Carlberg shows how to use Excel’s regression-related worksheet functions to perform a wide spectrum of practical analyses. Carlberg clearly explains all the theory you’ll need to avoid mistakes, understand what your regressions are really doing, and evaluate analyses performed by others. From simple correlations and t-tests through multiple analysis of covariance, Carlberg offers hands-on, step-by-step walkthroughs using meaningful examples. He discusses the consequences of using each option and argument, points out idiosyncrasies and controversies associated with Excel’s regression functions, and shows how to use them reliably in fields ranging from medical research to financial analysis to operations. You don’t need expensive software or a doctorate in statistics to work with regression analyses. Microsoft Excel has all the tools you need—and this book has all the knowledge!en_US
dc.format.extent364 p.en_US
dc.format.mimetypeapplication/pdfen_US
dc.language.isoenen_US
dc.publisherQueen_US
dc.subjectRegression Analysis Microsoft Excelen_US
dc.subjectMicrosoft Excelen_US
dc.subjectComputeren_US
dc.titleRegression Analysis Microsoft Excelen_US
dc.typeBooken_US
dc.size22,017Kben_US
dc.departmentTechnologyen_US


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