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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.

Regression analysis. --- Microsoft Excel (Computer file)

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Excel has undergone a massive makeover, and each of the mini-books in this guide covers one important area of Excel 2016. If you're new to Excel, Harvey covers all the essentials, then branches out into information on worksheets, charts and graphs, and ways to maintain and analyze the data you create.

Electronic spreadsheets --- Business --- Computer programs. --- Microsoft Excel (Computer file)

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"Excel 2016 Formulas is fully updated to cover all of the tips, tricks, and techniques you need to maximize the power of Excel 2016 through the use of formulas. This comprehensive book explains how to create financial formulas, release the power of array formulas, develop custom worksheet functions with VBA, debug formulas, and much more. Whether you're a beginner, a power user, or somewhere in between this is your essential go-to for the latest on Excel formulas. When conducting simple math or building highly complicated spreadsheets that require formulas up to the task, leveraging the right formula can heighten the accuracy and efficiency of your work, and can improve the speed with which you compile and analyze data. Understanding which formulas to use and knowing how to create a formula when you need to are essential. Access tips, tricks, and techniques that have been fully updated to reflect the latest capabilities of Microsoft Excel; Create and use formulas that have the power to transform your Excel experience; Leverage supplemental material online, including sample files, templates, and worksheets from the book."--www.amazon.com

Business --- Electronic spreadsheets. --- Business --- Electronic spreadsheets. --- Affaires --- Tableurs --- Computer programs. --- Computer programs. --- Logiciels --- Microsoft Excel (Computer file) --- Microsoft Excel (Computer file)

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Focusing on a basic understanding of the methods and analyses in health research, Introduction to Biostatistical Applications in Health Research with Microsoft® Office Excel® provides statistical concepts for interpreting results using Excel. The book emphasizes the application of methods and presents the most common methodological procedures in health research, which includes multiple regression, ANOVA, ANCOVA, logistic regression, Cox regression, stratified analysis, life table analysis, and nonparametric parallels. The book is constructed around a flowchart that outlines the appropriate circumstances for selecting a method to analyze a specific set of data. Beginning with an introduction to the foundational methods of statistical logic before moving on to more complex methods, Introduction to Biostatistical Applications in Health Research with Microsoft® Office Excel® also includes: Detailed discussions of how knowledge and skills in health research have been integrated with biostatistical methods Numerous examples with clear explanations that use mostly real-world health research data in order to provide a better understanding of the practical applications Implements Excel graphic representations throughout to help readers evaluate and analyze individual results An appendix with basic information on how to use Excel A companion website with additional Excel files, data sets, and homework problems as well as an Instructor?s Solutions Manual Introduction to Biostatistical Applications in Health Research with Microsoft® Office Excel® is an excellent textbook for upper-undergraduate and graduate-level courses in biostatistics and public health. In addition, the book is an appropriate reference for both health researchers and professionals.

Biostatistics --- Data Interpretation, Statistical. --- Mathematical Computing. --- HEALTH & FITNESS --- HEALTH & FITNESS --- MEDICAL --- MEDICAL --- MEDICAL --- MEDICAL --- MEDICAL --- MEDICAL --- Biometry. --- Medical informatics. --- Medical informatics. --- Biometry. --- Médecine --- Biométrie --- methods. --- Holism. --- Reference. --- Alternative Medicine. --- Atlases. --- Essays. --- Family & General Practice. --- Holistic Medicine. --- Osteopathy. --- Informatique --- Microsoft Excel (Computer file) --- Microsoft Excel (Computer file) --- Microsoft Excel (Computer file)

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This book is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical environmental science problems. If understanding statistics isn’t your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you. Excel is an effective learning tool for quantitative analyses in environmental science courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, Excel 2016 for Environmental Science Statistics: A Guide to Solving Practical Problems is the first book to capitalize on these improvements by teaching students and managers how to apply Excel 2016 to statistical techniques necessary in their courses and work. Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand environmental science problems. Practice problems are provided at the end of each chapter with their solutions in an appendix. Separately, there is a full Practice Test (with answers in an Appendix) that allows readers to test what they have learned. Includes 165 illustrations in color Suitable for undergraduates or graduate students Prof. Tom Quirk spent six years in educational research at The American Institutes for Research and Educational Testing Service. He is Professor of Marketing in the Walker School of Business & Technology at Webster University in St. Louis, Missouri (USA). He holds a B.S. in Mathematics from John Carroll University, both an M.A. in Education and a Ph.D. in Educational Psychology from Stanford University, and an MBA from The University of Missouri-St. Louis. Dr. Meghan Quirk holds a Ph.D. in Biological Education and an M.A. in Biological Sciences from the University of Northern Colorado (UNC) and a B.A. in Biology and Religion at Principia College in Elsah, Illinois. She has co-authored an article on shortgrass steppe ecosystems in Photochemistry & Photobiology. She was a National Science Foundation Fellow GK-12, and currently teaches science in Bailey, Colorado. Howard F. Horton holds an MS in Biological Sciences from the University of Northern Colorado (UNC) and a BS in Biological Sciences from Mesa State College. He has worked on research projects in Pawnee National Grasslands and Long-Term Ecological Research at Toolik Lake, Alaska. He has co-authored articles in The International Journal of Speleology and The Journal of Cave and Karst Studies. He was a National Science Foundation Fellow GK-12. He is currently the Angler Outreach Coordinator with Colorado Parks and Wildlife.

Statistics. --- Environmental sciences. --- Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. --- Environmental Science and Engineering. --- Math. Appl. in Environmental Science. --- Environmental science --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Science --- Mathematics --- Econometrics --- Environmental sciences --- Electronic spreadsheets --- Statistical methods. --- Computer programs. --- Microsoft Excel (Computer file) --- Statistics .