000			03500cam a2200409 i 4500
999			_c36918 _d36918
001			20705327
003			OSt
005			20200630152351.0
007			ta
008			180930s2019 enk b 001 0 eng c
010			_a 2018042748
020			_a9781138541405 _q(hardback ; _qalk. paper)
020			_a9781138541436 _q(pbk. ; _qalk. paper)
020			_z9781351011099 _q(ebk)
040			_aLBSOR/DLC _beng _cHNU _erda _dDLC
042			_apcc
050	0	0	_aHA31.3 _b.A43 2019
082	0	0	_a519.536 Ar48 2019 _223 _3GC
100	1		_aArkes, Jeremy, _eauthor.
245	1	0	_aRegression analysis : _ba practical introduction / _cJeremy Arkes.
264		1	_aLondon, England, UK ; _aNew York, NY, USA : _bRoutledge, Taylor & Francis Group, _c©2019.
300			_axx, 342 pages : _billustrations ; _c25 cm
336			_atext _2rdacontent
337			_aunmediated _2rdamedia
338			_avolume _2rdacarrier
504			_aIncludes bibliographical references and index.
505			_aIntroduction -- The basics -- Essential tools for regression analysis -- What does "holding other factors constant" mean? -- Standard errors, hypothesis tests, p-values, and aliens -- What could go wrong? -- Strategies for other regression objectives -- Methods to address biases from non-random explanatory variables -- Other methods besides ordinary least squares -- Time-series models -- Some really interesting research -- How to conduct a research project -- Summarizing thoughts.
520			_a"With the rise of "big data", there is an increasing demand to learn the skills needed to undertake sound quantitative analysis without requiring students to spend too much time on high-level math and proofs. This book provides an efficient alternative approach, with more time devoted to the practical aspects of regression analysis and how to recognise the most common pitfalls. By doing so, the book will better prepare readers for conducting, interpreting, and assessing regression analyses, while simultaneously making the material simpler and more enjoyable to learn. Logical and practical in approach, Regression Analysis teaches: (1) the tools for conducting regressions; (2) the concepts needed to design optimal regression models (based on avoiding the pitfalls); and (3) the proper interpretations of regressions. Furthermore, this book emphasizes honesty in research, with a prevalent lesson being that statistical significance is not the goal of research. This book is an ideal introduction to regression analysis for anyone learning quantitative methods in the social sciences, business, medicine, and data analytics. It will also appeal to researchers and academics looking to better understand what regressions do, what their limitations are, and what they can tell us. This will be the most engaging book on regression analysis (or Econometrics) you will ever read!"-- _cProvided by publisher.
521			_aCoED _bBachelor of Secondary Education major in Mathematics
546			_aText in English
650		0	_aRegression analysis.
776	0	8	_iOnline version: _aArkes, Jeremy, author. _tRegression analysis _dAbingdon, Oxon ; New York, NY : Routledge, 2019 _z9781351011099 _w(DLC) 2019015329
906			_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg
942			_2ddc _cBK _h500-599