000 | 04146nam a2200841 i 4500 | ||
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001 | 10594649 | ||
003 | CaPaEBR | ||
005 | 20241023114827.0 | ||
006 | m eo d | ||
007 | cr cn |||m|||a | ||
008 | 120829s2012 nyu foa 001 0 eng d | ||
020 |
_a9781606494356 _qelectronic bk. |
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024 | 7 |
_a10.4128/9781606494356 _2doi |
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035 | _a(OCoLC)808991413 | ||
035 | _a(CaBNVSL)swl00401166 | ||
040 |
_aCaBNVSL _beng _erda _cCaBNVSL _dCaBNVSL |
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050 | 4 | _aQA278.2 | |
100 | 1 |
_aWilson, J. Holton, _d1942-, _eauthor |
|
245 | 1 | 0 |
_aRegression analysis : _bunderstanding and building business and economic models using Excel / _cJ. Holton Wilson, Barry P. Keating, and Mary Beal-Hodges. |
250 | _a1st ed. | ||
264 | 1 |
_a[New York, N.Y.] (222 East 46th Street, New York, NY 10017) : _bBusiness Expert Press, _c[(c)2012.] |
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300 |
_a1 electronic text (179 pages) : _bdigital file. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_adata file _2rda |
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490 | 1 |
_aQuantitative approaches to decision making collection, _x2163-9582 |
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500 | _aPart of: 2012 digital library. | ||
500 | _aIncludes index. | ||
505 | 0 |
_a1. Background issues for regression analysis -- _t2. Introduction to regression analysis -- _t3. The ordinary least squares (OLS) regression model -- _t4. Evaluation of ordinary least squares (OLS) regression models -- _t5. Point and interval estimates from a regression model -- _t6. Multiple linear regression -- _t7. A market share multiple regression model -- _t8. Qualitative events and seasonality in multiple regression models -- _t9. Nonlinear regression models -- _t10. Abercrombie and Fitch Company regression case study -- _t11. The formal ordinary least squares (OLS) regression model -- _tAppendix. Some statistical background -- _tIndex. |
|
506 | _aAccess restricted to authorized users and institutions. | ||
520 | 3 | _aThis 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. | |
530 |
_a2 _ub |
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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 August 29, 2012). | ||
630 | 0 | 0 | _aMicrosoft Excel (Computer file) |
650 | 0 | _aRegression analysis. | |
650 | 0 | _aEconometric models. | |
653 | _aRegression analysis | ||
653 | _aordinary least squares (OLS) | ||
653 | _atime-series data | ||
653 | _across-sectional data, | ||
653 | _adependent variables | ||
653 | _aindependent variables | ||
653 | _apoint estimates | ||
653 | _ainterval estimates | ||
653 | _ahypothesis testing | ||
653 | _astatistical significance | ||
653 | _aconfidence level | ||
653 | _asignificance level | ||
653 | _ap-value | ||
653 | _aR-squared | ||
653 | _acoefficient of determination | ||
653 | _amulticollinearity | ||
653 | _acorrelation | ||
653 | _aserial correlation | ||
653 | _aseasonality | ||
653 | _aqualitative events | ||
653 | _adummy variables | ||
653 | _anon-linear regression models | ||
653 | _amarket share regression model | ||
653 | _aAbercrombie & Fitch Co. | ||
655 | 0 | _a[genre] | |
700 | 1 | _aKeating, Barry P. | |
700 | 1 | _aBeal-Hodges, Mary. | |
776 | 0 | 8 |
_iPrint version: _z9781606494349 |
830 | 0 | _a2012 digital library. | |
830 | 0 |
_aQuantitative approaches to decision making collection. _x2163-9582 |
|
856 | 4 | 0 | _uhttps://go.openathens.net/redirector/ciu.edu?url=https://portal.igpublish.com/iglibrary/search/BEPB0000138.html |
942 |
_2lcc _bCIU _cOB _eBEP _QOL _zBEP10594649 |
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999 |
_c74201 _d74201 |
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902 |
_c1 _dCynthia Snell |