Regression Analysis Microsoft Excel

Author: Conrad Carlberg

Publisher: Que Publishing

ISBN: 9780789756558

Category: Business & Economics

Page: 368

View: 2400

This 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! Understand what regression analysis can and can't do, and why Master regression-based functions built into all recent versions of Excel Work with correlation and simple regression Make the most of Excel's improved LINEST() function Plan and perform multiple regression Distinguish the assumptions that matter from the ones that don't Extend your analysis options by using regression instead of traditional analysis of variance Add covariates to your analysis to reduce bias and increase statistical power
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Statistik mit Excel für Dummies

Author: Joseph Schmuller

Publisher: John Wiley & Sons

ISBN: 3527811702

Category: Computers

Page: 535

View: 8300

Statistiken und Aussagen zu Wahrscheinlichkeiten begegnen uns heute überall: Die Umsatzentwicklung in Unternehmen, Hochrechnungen für Wahlergebnisse, PISA-Ergebnisse fünfzehnjähriger Schüler sind nur drei von zahlreichen Beispielen. Joseph Schmuller zeigt Ihnen in diesem Buch, wie Sie die Zahlen in den Griff bekommen und Daten, Statistiken und Wahrscheinlichkeiten richtig lesen und interpretieren. Dafür brauchen Sie keinen Statistikkurs zu belegen und kein Mathegenie zu sein. Für alles gibt es in Excel die passende Funktion und das passende Werkzeug. So können Sie Theorie und Praxis sofort miteinander verbinden.
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Statistical Analysis

Microsoft Excel 2013

Author: Conrad Carlberg

Publisher: Que Publishing

ISBN: 0133823997

Category: Business & Economics

Page: 512

View: 6809

Use Excel 2013’s statistical tools to transform your data into knowledge Conrad Carlberg shows how to use Excel 2013 to perform core statistical tasks every business professional, student, and researcher should master. Using real-world examples, Carlberg helps you choose the right technique for each problem and get the most out of Excel’s statistical features, including recently introduced consistency functions. Along the way, he clarifies confusing statistical terminology and helps you avoid common mistakes. You’ll learn how to use correlation and regression, analyze variance and covariance, and test statistical hypotheses using the normal, binomial, t, and F distributions. To help you make accurate inferences based on samples from a population, this edition adds two more chapters on inferential statistics, covering crucial topics ranging from experimental design to the statistical power of F tests. Becoming an expert with Excel statistics has never been easier! You’ll find crystal-clear instructions, insider insights, and complete step-by-step projects—all complemented by extensive web-based resources. Master Excel’s most useful descriptive and inferential statistical tools Tell the truth with statistics—and recognize when others don’t Accurately summarize sets of values Infer a population’s characteristics from a sample’s frequency distribution Explore correlation and regression to learn how variables move in tandem Use Excel consistency functions such as STDEV.S() and STDEV.P() Test differences between two means using z tests, t tests, and Excel’s Data Analysis Add-in Use ANOVA to test differences between more than two means Explore statistical power by manipulating mean differences, standard errors, directionality, and alpha Take advantage of Recommended PivotTables, Quick Analysis, and other Excel 2013 shortcuts
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Data Analysis and Decision Making with Microsoft Excel, Revised

Author: S. Albright,Wayne Winston,Christopher Zappe

Publisher: Cengage Learning

ISBN: 0324662440

Category: Business & Economics

Page: 1104

View: 2128

The emphasis of the text is on data analysis, modeling, and spreadsheet use in statistics and management science. This text contains professional Excel software add-ins. The authors maintain the elements that have made this text a market leader in its first edition: clarity of writing, a teach-by-example approach, and complete Excel integration. This edition has been revised to be compatible with Excel 2007 and the corresponding add-ins for Excel 2007. If you have moved to Excel 2007, you should use this revised edition. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
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Excel 2013 In Depth

Author: Bill Jelen

Publisher: Que Publishing

ISBN: 0133259323

Category: Computers

Page: 1248

View: 1383

Get more out of Microsoft Excel® 2013: more productivity and better answers for greater success! Drawing on his unsurpassed Excel experience, Bill Jelen (“Mr Excel”) brings together all the intensely useful knowledge you need: insights, techniques, tips, and shortcuts you just won’t find anywhere else. Excel 2013 In Depth is the fastest, best way to master Excel 2013’s full power; get comfortable with its updated interface; and leverage its new tools for everything from formulas, charts, and functions to dashboards, data visualization, and social media integration. Start by taking a quick “tour” of Excel 2013’s most valuable new features. Then, learn how to Build more trustworthy, error-resistant, flexible, extensible, intelligent, and understandable spreadsheets Get more productive with Excel 2013’s new Start Screen and Timelines Create formulas, charts, subtotals, and pivot tables faster with new Flash Fill and Analysis Lens Quickly apply attractive, consistent formats Master every function you’ll ever need,- including powerful new web services functions Solve real-world business intelligence analysis problems Create amazing PowerPivot data mashups that integrate information from anywhere Use Power View to generate stunningly intuitive maps, dashboards, and data visualizations Share workbooks on the Web and social networks Leverage the improved Excel Web App to create highly interactive web pages and online surveys Automate repetitive functions using Excel macros Supercharge your workbooks with new apps from the Excel App Store Like all In Depth books, Excel 2013 In Depth delivers complete coverage with detailed solutions, and troubleshooting help for tough problems you can’t fix on your own. Whatever you intend to do with Excel 2013, this is the only book you’ll need!
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Financial Analysis with Microsoft Excel

Author: Timothy R. Mayes,Todd M. Shank

Publisher: Cengage Learning

ISBN: 1111826242

Category: Business & Economics

Page: 528

View: 6333

Help students master the latest features in Excel 2010 while establishing a strong foundation in corporate finance. With Mayes/Shank's FINANCIAL ANALYSIS WITH MICROSOFT EXCEL 2010, 6E, your students develop a proficiency in using Excel 2010 to solve real financial problems without sacrificing any finance background. This edition covers all of the topics in today's corporate finance course, including financial statements, budgets, the Market Security Line, pro forma statements, cost of capital, equities, and debt. A reader-friendly, self-directed learning approach and numerous study tools make this book both an ideal resource for independent learning and a valuable long-term reference tool. Because today's typical students enter college with basic spreadsheet skills, this new edition covers the basics early for those with no background, before moving quickly into many of the more advanced and most powerful features of Excel 2010. This edition offers new focus on Excel tables, pivot tables and pivot charts and other areas that have become increasingly important to today's employers. The book's easy-to-understand presentation helps students build upon or transfer skills from other spreadsheet programs as they establish a strong understand of contemporary corporate finance. Give your students the valuable, highly marketable skills in Excel 2010 with the understanding of corporate finance that they need to succeed with Mayes' FINANCIAL ANALYSIS WITH MICROSOFT EXCEL 2010, 6E. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
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Predictive Analytics

Microsoft Excel

Author: Conrad Carlberg

Publisher: Que Publishing

ISBN: 0132967251

Category: Business & Economics

Page: 336

View: 3972

Excel predictive analytics for serious data crunchers! The movie Moneyball made predictive analytics famous: Now you can apply the same techniques to help your business win. You don’t need multimillion-dollar software: All the tools you need are available in Microsoft Excel, and all the knowledge and skills are right here, in this book! Microsoft Excel MVP Conrad Carlberg shows you how to use Excel predictive analytics to solve real-world problems in areas ranging from sales and marketing to operations. Carlberg offers unprecedented insight into building powerful, credible, and reliable forecasts, showing how to gain deep insights from Excel that would be difficult to uncover with costly tools such as SAS or SPSS. You’ll get an extensive collection of downloadable Excel workbooks you can easily adapt to your own unique requirements, plus VBA code—much of it open-source—to streamline several of this book’s most complex techniques. Step by step, you’ll build on Excel skills you already have, learning advanced techniques that can help you increase revenue, reduce costs, and improve productivity. By mastering predictive analytics, you’ll gain a powerful competitive advantage for your company and yourself. • Learn both the “how” and “why” of using data to make better tactical decisions • Choose the right analytics technique for each problem • Use Excel to capture live real-time data from diverse sources, including third-party websites • Use logistic regression to predict behaviors such as “will buy” versus “won’t buy” • Distinguish random data bounces from real, fundamental changes • Forecast time series with smoothing and regression • Construct more accurate predictions by using Solver to find maximum likelihood estimates • Manage huge numbers of variables and enormous datasets with principal components analysis and Varimax factor rotation • Apply ARIMA (Box-Jenkins) techniques to build better forecasts and understand their meaning
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Financial Analysis with Microsoft Excel 2016, 8E

Author: Timothy R. Mayes,Todd M. Shank

Publisher: Cengage Learning

ISBN: 1337515523

Category: Business & Economics

Page: 544

View: 3502

Taking your spreadsheet skills to the next level, Mayes/Shank's FINANCIAL ANALYSIS WITH MICROSOFT EXCEL 2016, 8E, equips you with a solid foundation in corporate finance while helping you master the tools professionals use every day. It delivers thorough coverage of financial statements, cash budgets, time series forecasting, the Security Market Security Line, pro forma financial statements, cost of capital, VBA programming, Pivot Tables, and Get & Transform tools (formerly known as Power Query). With its unique self-directed learning approach, this reader-friendly book is an ideal resource for independent learning and a valuable reference tool. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
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Regression Analysis

Understanding and Building Business and Economic Models Using Excel

Author: J. Holton Wilson

Publisher: Business Expert Press

ISBN: 160649435X

Category: Business & Economics

Page: 190

View: 743

The technique of regression analysis is used so often in business and economics today that an understanding of its use is necessary for almost everyone engaged in the field. This book will teach you the essential elements of building and understanding regression models in a business/economic context in an intuitive manner. The authors take a non-theoretical treatment that is accessible even if you have a limited statistical background. It is specifically designed to teach the correct use of regression, while advising you of its limitations and teaching about common pitfalls. This book describes exactly how regression models are developed and evaluated —where real data is used, instead of contrived textbook-like problems. Completing this book will allow you to understand and build basic business/economic models using regression analysis. You will be able to interpret the output of those models and you will be able to evaluate the models for accuracy and shortcomings. Even if you never build a model yourself, at some point in your career it is likely that you will find it necessary to interpret one; this book will make that possible. Included are instructions for using Microsoft Excel to build business/economic models using regression analysis with an appendix using screen shots and step-by-step instructions.
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Statistics as Easy as One, Two, Three with Microsoft Excel for Windows

Author: Christian N. Madu

Publisher: Chi Publishers Inc

ISBN: 9780967602325

Category: Business & Economics

Page: 142

View: 9584

This title has been written as a basic statistical applications book for non-statistics majors. It focuses on the use of Microsoft Excel Add-Ins function in analyzing basic statistical problems. It is intended for beginners, and it introduces statistical concepts in ways that may be relevant to practitioners. The data used throughout the book is based on responses to common social issues. This way, the book can be relevant to multiple users with different backgrounds. The topics covered include: questionnaire design, descriptive statistics; hypothesis testing; confidence interval estimation; nonparametric statistics; and simple and multiple regression analysis. of statistics. Students majoring in business, health sciences, and social sciences are also likely to find the book useful in understanding statistical concepts. Practitioners who may be interested in exploring the power of Microsoft Excel for statistical analysis should also find the book very useful.
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Microsoft Excel Worksheet Function Reference

Microsoft Corporation

Author: N.A

Publisher: N.A

ISBN: 9781556158780

Category: Computers

Page: 313

View: 1276

For Microsoft Excel for Windows 95, and for Microsoft Excel for Windows 3.1 and Macintosh systems, this book provides complete information about each of the more than 300 worksheet functions built into Microsoft Excel for Windows 95. It is a handy way to gain access to one of Excel's most powerful features--those that turn Excel from a mere calculation into a powerful tool.
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Applied Regression Modeling

A Business Approach

Author: Iain Pardoe

Publisher: John Wiley & Sons

ISBN: 0470052651

Category: Mathematics

Page: 320

View: 3129

An applied and concise treatment of statistical regression techniques for business students and professionals who have little or no background in calculus Regression analysis is an invaluable statistical methodology in business settings and is vital to model the relationship between a response variable and one or more predictor variables, as well as the prediction of a response value given values of the predictors. In view of the inherent uncertainty of business processes, such as the volatility of consumer spending and the presence of market uncertainty, business professionals use regression analysis to make informed decisions. Applied Regression Modeling: A Business Approach offers a practical, workable introduction to regression analysis for upper-level undergraduate business students, MBA students, and business managers, including auditors, financial analysts, retailers, economists, production managers, and professionals in manufacturing firms. The book's overall approach is strongly based on an abundant use of illustrations and graphics and uses major statistical software packages, including SPSS(r), Minitab(r), SAS(r), and R/S-PLUS(r). Detailed instructions for use of these packages, as well as for Microsoft Office Excel(r), are provided, although Excel does not have a built-in capability to carry out all the techniques discussed. Applied Regression Modeling: A Business Approach offers special user features, including: * A companion Web site with all the datasets used in the book, classroom presentation slides for instructors, additional problems and ideas for organizing class time around the material in the book, and supplementary instructions for popular statistical software packages. An Instructor's Solutions Manual is also available. * A generous selection of problems-many requiring computer work-in each chapter with fullyworked-out solutions * Two real-life dataset applications used repeatedly in examples throughout the book to familiarize the reader with these applications and the techniques they illustrate * A chapter containing two extended case studies to show the direct applicability of the material * A chapter on modeling extensions illustrating more advanced regression techniques through the use of real-life examples and covering topics not normally seen in a textbook of this nature * More than 100 figures to aid understanding of the material Applied Regression Modeling: A Business Approach fully prepares professionals and students to apply statistical methods in their decision-making, using primarily regression analysis and modeling. To help readers understand, analyze, and interpret business data and make informed decisions in uncertain settings, many of the examples and problems use real-life data with a business focus, such as production costs, sales figures, stock prices, economic indicators, and salaries. A calculus background is not required to understand and apply the methods in the book.
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Cryptosporidium Viability and Infectivity Methods

Author: Jennifer L. Clancy,AWWA Research Foundation,Great Britain. Drinking Water Inspectorate

Publisher: American Water Works Association

ISBN: 1583210288

Category: Cryptosporidium parvum

Page: 137

View: 5826

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Essentials of Modern Business Statistics with Microsoft Excel

Author: David Ray Anderson,Dennis J. Sweeney,Thomas Arthur Williams

Publisher: South-Western Pub

ISBN: 9780324184525

Category: Business & Economics

Page: 717

View: 8421

This new edition provides a brief introduction to business statistics that balances a conceptual understanding of statistics with the real-world application of statistical methodology. The latest version of Microsoft Excel is integrated throughout the text, showing step-by-step instructions and screen captures to enhance learning. The authors have been writing market-leading business statistics textbooks for over 20 years. This new edition contains the same learning features that have made ASW products best-sellers for years; features such as the problem-scenario approach, and real-world examples that introduce statistical techniques.
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Digital Analytics Primer

Author: Judah Phillips

Publisher: FT Press

ISBN: 0133552101

Category: Computers

Page: 228

View: 9299

Learn the concepts and methods for creating economic and business value with digital analytics, mobile analytics, web analytics, and market research and social media data. In Digital Analytics Primer , pioneering expert Judah Phillips introduces the concepts, terms, and methods that comprise the science and art of digital analysis for web, site, social, video, and other types of quantitative and qualitative data. Business readers—from new practitioners to experienced executives—who want to understand how digital analytics can be used to reduce costs and increase profitable revenue throughout the business should read this book. Phillips delivers a comprehensive review of the core concepts, vocabulary, and frameworks, including analytical methods and tools that can help you successfully integrate analytical processes, technology, and people into all aspects of business operations. This unbiased and product-independent primer draws from the author's extensive experience doing and managing analytics in this field.
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Essentials of Modern Business Statistics with Microsoft Excel

Author: David R. Anderson,Dennis J. Sweeney,Thomas A. Williams

Publisher: Cengage Learning

ISBN: 0840062389

Category: Business & Economics

Page: 784

View: 1911

ESSENTIALS OF MODERN BUSINESS STATISTICS, 5TH EDITION provides an introduction to business statistics that blends a conceptual understanding of statistics with the real-world application of statistical methodology. Microsoft Excel 2010 is integrated throughout the text, showing step-by-step instructions and screen captures to enhance student learning. The fifth edition contains the same student learning features that have made ASW products best-sellers for years, including the problem-scenario approach and real-world examples that introduce statistical techniques. A student companion site comes includes: Case Files, Example Files, Problem Files, Tutorials, Solvertable, Palisade DecisionTools (StatTools), Excel Tutorial. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
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Data Analysis with Microsoft Excel: Updated for Office 2007

Author: Kenneth N. Berk,Patrick M. Carey

Publisher: Cengage Learning

ISBN: 1111792771

Category: Mathematics

Page: 608

View: 8989

This popular best-selling book shows students and professionals how to do data analysis with Microsoft Excel. DATA ANALYSIS WITH MICROSOFT EXCEL teaches the fundamental concepts of statistics and how to use Microsoft Excel to solve the kind of data-intensive problems that arise in business and elsewhere. Even students with no previous experience using spreadsheets will find that this text's step-by-step approach, extensive tutorials, and real-world examples make it easy to learn how to use Excel for analyzing data. A downloadable StatPlus add-in for Microsoft Excel, data sets for exercises, and interactive concept tutorials are available on the Book Companion Website. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
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Data Analysis Using Microsoft Excel 5.0

Author: Michael R. Middleton

Publisher: Wadsworth Software

ISBN: N.A

Category: Computers

Page: 270

View: 4342

A unique, self-study reference for managers and statisticians who use the Excel Spreadsheet as their primary computational tool for forecasting, data analysis, or regression analysis. Original. (Advanced).
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