Applied Regression Modeling A Business Approach
An applied and concise treatment of statistical regression techniques for business students and professionals who have little or no background in calculus Regression analysis is an invaluable statistical methodology in business settings and is vital to model the relationship between a response varia...
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Format: | Book Chapter |
Language: | English |
Published: |
Hoboken, NJ
Wiley-Interscience
2006
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Online Access: | Click Here to View Status and Holdings. |
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100 | 1 | # | |a Pardoe, Iain |c 1970- |e author |
245 | 1 | 1 | |a Applied Regression Modeling |b A Business Approach |c Iain Pardoe |
264 | # | 1 | |a Hoboken, NJ |b Wiley-Interscience |c 2006 |
264 | # | 4 | |c ©2006 |
300 | # | # | |a xx, 303 pages |b illustrations |c 26 cm |
336 | # | # | |a text |2 rdacontent |
337 | # | # | |a unmediated |2 rdamedia |
338 | # | # | |a volume |2 rdacarrier |
504 | # | # | |a Includes bibliographical references (p 287-289) and index |
520 | # | # | |a An applied and concise treatment of statistical regression techniques for business students and professionals who have little or no background in calculus Regression analysis is an invaluable statistical methodology in business settings and is vital to model the relationship between a response variable and one or more predictor variables, as well as the prediction of a response value given values of the predictors. In view of the inherent uncertainty of business processes, such as the volatility of consumer spending and the presence of market uncertainty, business professionals use regression analysis to make informed decisions. Applied Regression Modeling: A Business Approach offers a practical, workable introduction to regression analysis for upper-level undergraduate business students, MBA students, and business managers, including auditors, financial analysts, retailers, economists, production managers, and professionals in manufacturing firms. The book's overall approach is strongly based on an abundant use of illustrations and graphics and uses major statistical software packages, including SPSS(r), Minitab(r), SAS(r), and R/S-PLUS(r). |
546 | # | # | |a Text in English |
650 | # | 0 | |a Regression analysis |
650 | # | 0 | |a Statistics |
856 | 4 | 0 | |z Click Here to View Status and Holdings. |u https://opac.uitm.edu.my/opac/detailsPage/detailsHome.jsp?tid=358191 |
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