000			03164nam a2200577 i 4500
001			10483745
003			CaPaEBR
005			20241023114825.0
006			m eo d
007			cr cn |||m|||a
008			110718s2011 nyua foab 001 0 eng d
020			_a9781606492321 _qelectronic bk.
024	7		_a10.4128/9781606492321 _2doi
028	5	3	_a2 _bBEP
035			_a(OCoLC)755884940
035			_a(CaBNVSL)gtp00548797
040			_aCaBNVSL _beng _erda _cCaBNVSL _dCaBNVSL
050		4	_aHD30.215
100	1		_aRichardson, Ronny, _eauthor
245	1	0	_aBusiness applications of multiple regression / _cRonny Richardson.
250			_a1st ed.
264		1	_a[New York, N.Y.] (222 East 46th Street, New York, NY 10017) : _bBusiness Expert Press, _c[(c)2011.]
300			_a1 electronic text (194 pages) : _billustrations, digital file.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_adata file _2rda
490	1		_aQuantitative approaches to decision making collection
504			_aIncludes bibliographical references (pages 183-186) and index.
505	0		_aIntroduction -- _tChapter 1.Correlation analysis -- _tChapter 2.Simple regression -- _tChapter 3.Multiple regression -- _tChapter 4.Model building -- _tNotes -- _tIndex.
506			_aAccess restricted to authorized users and institutions.
520	3		_aThis book describes the use of the statistical procedure called multiple regression in business situations, including forecasting and understanding the relationships between variables. The book assumes a basic understanding of statistics but reviews correlation analysis and simple regression to prepare the reader to understand and use multiple regression. The techniques described in the book are illustrated using both Microsoft Excel and a professional statistical program. Along the way, several real-world data sets are analyzed in detail to better prepare the reader for working with actual data in a business environment. This book will be a useful guide to managers at all levels who need to understand and make decisions based on data analysis performed using multiple regression. It also provides the beginning analyst with the detailed understanding required to use multiple regression to analyze data sets.
530			_a2 _ub
530			_aAlso available in printing.
538			_aMode of access: World Wide Web.
538			_aSystem requirements: Adobe Acrobat reader.
588			_aTitle from PDF t.p. (viewed on July 18, 2011).
650		0	_aRegression analysis.
650		0	_aCorrelation (Statistics)
650		0	_aBusiness forecasting.
653			_acorrelation
653			_aforecasting
653			_amodel building
653			_amultiple regression
653			_aregression
655		0	_a[genre]
776	0	8	_iPrint version: _z9781606492314
830		0	_aQuantitative approaches to decision making collection.
856	4	0	_uhttps://go.openathens.net/redirector/ciu.edu?url=https://portal.igpublish.com/iglibrary/search/BEPB0000105.html
942			_2lcc _bCIU _cOB _eBEP _QOL _zBEP10483745
999			_c72788 _d72788
902			_c1 _dCynthia Snell