03237nam a2200541 a 4500 vtls000078756 MTX m eo d cr cn |||m|||a 160715s2012 nyu foab 001 0 eng d 9781606494066 (electronic bk.) 9781606494059 (pbk.) 10.4128/9781606494066 doi (OCoLC)814468732 (CaBNVSL)swl00401514 201607151120 staff 201605041219 admin CaBNVSL CaBNVSL CaBNVSL HB137 .N247 2012 519.536 23 Ebook Naghshpour, Shahdad. 114463 Regression for economics [electronic resource] / Shahdad Naghshpour. 1st ed. [New York, N.Y.] (222 East 46th Street, New York, NY 10017) : Business Expert Press, 2012. 1 electronic text (xix, 140 p.) : digital file. Economics and finance collection, 2163-7628 Part of: 2012 digital library. Includes bibliographical references (p. 135-136) and index. Foreword -- Acknowledgments -- Introduction -- 1. The concept of regression -- 2. The method of least squares -- 3. Simple linear regression in Excel -- 4. Multiple regression -- 5. Goodness of fit -- 6. Regression coefficients -- 7. Causality: correlation is not causality -- 8. Qualitative variables in regression -- 9. Pitfalls of regression analysis -- Appendix -- Glossary -- Notes -- References -- Index. Access restricted to authorized users and institutions. The concept of regression was introduced by Sir Francis Galton, but R.A. Fisher provided the statistical theory and application for it for the first time. The 20th century witnessed the spread of regression analysis into every scientific branch. Regression analysis is the most commonly used statistical method in the world. It is used in economics and many other fields. Although few would characterize this technique as simple, regression is in fact both simple and elegant. The complexity that many attribute to regression analysis is often a reflection of their lack of familiarity with the language of mathematics. But regression analysis can be understood even without a mastery of sophisticated mathematical concepts. This book provides the foundation of the regression analysis. All the examples are from economics, and in almost all the examples the real data is used to show the applications of the method. Also available in print. Mode of access: World Wide Web. System requirements: Adobe Acrobat reader. Title from PDF t.p. (viewed on October 23, 2012). Economics Statistical methods. 25830 Regression analysis. 88601 regression Analysis causality inference Print version: 9781606494059 2012 digital library. 114453 Economics and finance collection. 2163-7628 114464 http://portal.igpublish.com/iglibrary/search/BEPB0000143.html 10 75320 75320