Regression Analysis Microsoft Excel

From simple correlations and t-tests through multiple analysis of covariance, Carlberg offers hands-on, step-by-step walkthroughs using meaningful examples.

Author: Conrad Carlberg

Publisher: Que Publishing

ISBN: 0789756552

Category: Business & Economics

Page: 368

View: 595

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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

Business Analysis with Microsoft Excel

Type a question for help D E F G FIGURE 15.12 The Regression add - in automates much of the work involved in a multiple regression analysis . Microsoft Excel - Book1 Elle Edit View Insert Format Iools Data Window Help 0.898214060974299 ...

Author: Conrad George Carlberg

Publisher: Que Publishing

ISBN: 0789725525

Category: Computers

Page: 510

View: 213

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Provides information on the use of Excel in financial statements and analysis, financial planning and control, investment decisions, and sales and marketing.

Regression Analysis

This book describes exactly how regression models are developed and evaluated. Real data are used, instead of contrived textbook-like problems. The data used in the book are the kind of data managers are faced with in the real world.

Author: J. Holton Wilson

Publisher:

ISBN: 1631573853

Category: Business & Economics

Page: 194

View: 935

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This book covers essential elements of building and understanding regression models in a business/economic context in an intuitive manner. 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. It is especially useful for those engaged in working with numbers--preparing forecasts, budgeting, estimating the effects of business decisions, and any of the forms of analytics that have recently become so useful. This book is a nontheoretical treatment that is accessible to readers with even a limited statistical background. This book specifically does not cover the theory of regression; it is designed to teach the correct use of regression, while advising the reader of its limitations and teaching about common pitfalls. It is useful for business professionals, MBA students, and others with a desire to understand regression analysis without having to work through tedious mathematical/statistical theory. This book describes exactly how regression models are developed and evaluated. Real data are used, instead of contrived textbook-like problems. The data used in the book are the kind of data managers are faced with in the real world. 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. 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.

Valuing Businesses Using Regression Analysis

You'll find step-by-step instructions for how to enable regression analysis in your version of Microsoft Excel. You'll also discover four simple regression tools you can use for business valuation and forecasting.

Author: C. Fred Hall, III

Publisher: John Wiley & Sons

ISBN: 9781119793427

Category: Business & Economics

Page: 194

View: 119

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Demystifies regression-based valuation through simple explanations, easy-to-understand charts, and time-saving bonus resources Current methodologies using median, quartiles, or standard deviations to calculate revenue multipliers and cash flow multipliers often produce values that are wildly divergent. This forces the appraiser to choose between a very high or a very low value or consider averaging the values, opening the possibility for the appraiser to be challenged. On the surface, regression analysis appears to be the more complex, mathematical model, so many professionals shy away from using it out of fear that readers will be confused and reject the results of the appraisal. Valuing Businesses Using Regression Analysis solves this issue by breaking down regression to its simplest terms and providing easy-to-read charts and explanations that can be understood by all. Since regression analysis does not come pre-installed in Excel, this book will show you how to enable Excel's regression in your computer. Then you'll learn four different Regression tools that can be used for business valuations or for forecasting in general. As an added perk, this book also comes with a template that simplifies the entire regression methodology into the click of one button. With a minimal amount of work, you can use this template to produce a compelling four-page valuation report. See why current valuation methodologies can be wildly inaccurate and why regression analysis is a practical and preferable alternative Learn how to set up Regression in Excel and use single-variable linear regression to predict revenue and cash flow multipliers Walk through the process for conducting more advanced analyses, including curved regression with outliers and multiple variable regression Use the bonus template to create attractive four-page valuation reports using regression analysis in Excel This book is an excellent choice for valuators and other financial professionals ready to take the leap into regression analysis for more accurate, more objective business valuations.

Statistical Analysis

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.

Author: Conrad Carlberg

Publisher: Que Publishing

ISBN: 9780133823998

Category: Business & Economics

Page: 512

View: 803

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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

Predictive Analytics

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!

Author: Conrad Carlberg

Publisher: Que Publishing

ISBN: 9780132967259

Category: Business & Economics

Page: 336

View: 824

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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

Spreadsheet Applications in Chemistry Using Microsoft Excel

This latest edition incorporates new and revised content to use to learn the basics of Excel® for scientific data processing and now includes statistical analysis and regression analysis using Excel® add-ins, accounts for differences in ...

Author: Aoife Morrin

Publisher: John Wiley & Sons

ISBN: 9781119182979

Category: Science

Page: 196

View: 186

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SPREADSHEET APPLICATIONS IN CHEMISTRY USING MICROSOFT® EXCEL® Find step-by-step tutorials on scientific data processing in the latest versions of Microsoft® Excel® The Second Edition of Spreadsheet Applications in Chemistry Using Microsoft® Excel® delivers a comprehensive and up-to-date exploration of the application of scientific data processing in Microsoft® Excel®. Written to incorporate the latest updates and changes found in Excel® 2021, as well as later versions, this practical textbook is tutorial-focused and offers simple, step-by-step instructions for scientific data processing tasks commonly used by undergraduate students. Readers will also benefit from an online repository of experimental datasets that can be used to work through the tutorials to gain familiarity with data processing and visualization in Excel®. This latest edition incorporates new and revised content to use to learn the basics of Excel® for scientific data processing and now includes statistical analysis and regression analysis using Excel® add-ins, accounts for differences in navigation and utility between Windows and MacOS versions of the software, and integrates with an online dataset repository for the tutorial exercises. Spreadsheet Applications in Chemistry Using Microsoft® Excel® also includes: A thorough introduction to Microsoft® Excel® workbook and worksheet basics, including Excel® toolbar navigation, entering and manipulating formulas and functions and charting experimental chemical data Comprehensive explorations of statistical functions and regression analysis Generating calibration plots from instrumental data Visualizing concepts in physical chemistry Perfect for undergraduate and graduate students of analytical and physical chemistry, Spreadsheet Applications in Chemistry Using Microsoft® Excel® is also an ideal resource for students and practitioners of physics, engineering, and biology.

Special Edition Using Microsoft Office Excel 2007

LINEST uses the method of least squares for determining the best fit for the data. ... In regression analysis, Microsoft Excel calculates for each point the squared difference between the y value estimated for that point and its actual ...

Author: Bill Jelen

Publisher: Pearson Education

ISBN: 9780132714594

Category: Computers

Page: 1495

View: 773

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THE ONLY EXCEL BOOK YOU NEED We crafted this book to grow with you, providing the reference material you need as you move toward Excel proficiency and use of more advanced features. If you buy only one book on Excel, Special Edition Using Microsoft® Office Excel® 2007 is the book you need. Does your life play out in a spreadsheet? Do numbers in columns and rows make or break you in the work world? Tired of having numbers kicked in your face by other Excel power users who make your modest spreadsheets look paltry compared to their fancy charts and pivot tables? If you answered yes to any of these questions, Special Edition Using Microsoft® Office Excel® 2007 is the bookthat will make it all better. Learn quickly and efficientlyfrom a true Excel master using the tried and true SpecialEdition Using formula for success. Here, you’ll findinformation that’s undocumented elsewhere—even inMicrosoft’s own Help systems. You’ll learn from finelycrafted, real-life examples built by an author who livesand dies by the integrity of his spreadsheets. Excel’s backbone is its formulas and functions. Master those and you will master your spreadsheets. Special Edition Using Microsoft Office® Excel® 2007 provides more down and dirty help with your formulas and functions than you’ll find in any other book! See how it’s done in real life! Don’t settle for lame pivot table and chart examples found in other books… This book provides beautifully detailed examples that not only show you how it should be done, but how to be the local worksheet hero!

Cost Accounting for Health Care Organizations

... for using Microsoft Excel® to perform regression analysis are included in the Chapter 7 folder of this book's Web page ( http : // www.musc.edu/hap/costaccounting ) . When the regression computation has been completed , there are ...

Author: Steven A. Finkler

Publisher: Jones & Bartlett Learning

ISBN: 0834210126

Category: Medical

Page: 910

View: 898

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This book provides a thorough coverage of the essentials of cost accounting from a health care perspective. It covers all of the basic tools of cost accounting common to all industries, and uses health care examples. Part I provides the reader with a solid foundation in the essentials of cost accounting. The chapters in this section provide an introduction to costing and cost definitions. Various approaches to product costing and cost allocation are discussed. Breakeven analysis is also covered, as are techniques for making nonroutine decisions. Part II presents a number of specific tools for improved planning and control. The chapters in this section focus on forecasting and prediction of future costs, budgeting, flexible budgeting, variance analysis, and management control. Part III addresses a number of additional cost accounting tools that can be helpful in generating management information for decision making. Specifically, there are chapters on cost accounting, productivity measurement, inventory, uncertainty, information systems, and performance evaluation. The criticisms of cost accounting and a number of suggested approaches for improvement are discussed in Part IV. The chapters in this part also examine activity-based costing, total quality management, and the future of costing. Each chapter is followed by one or more articles that apply some of the material discussed in the chapter. The last chapter provides a summary of the book.

Data Analysis Using Microsoft Excel 5 0

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).

Author: Michael R. Middleton

Publisher: Wadsworth Software

ISBN: UOM:39015034835713

Category: Computers

Page: 294

View: 754

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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).