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Understanding regression as...
Through the use of careful explanation and examples, Berry demonstrates how to consider whether the assumptions of multiple regression are actually satisfied in a particular research project
Monografía
monografia Rebiun39610149 https://catalogo.rebiun.org/rebiun/record/Rebiun39610149 m o d cr cn||||||||| 000807s1993 caua ob 000 0 eng d 92042925 654951454 935273827 936301926 961583641 962649613 984881813 999522120 1053015966 1066575053 1107340893 1126174956 1228554030 058521722X electronic bk.) 9780585217222 electronic bk.) 9781412986427 electronic bk.) 1412986427 electronic bk.) 080394263X 9780803942639 AU@ 000048635858 AU@ 000051419618 AU@ 000060043083 NZ1 14220430 N$T eng pn N$T OCL OCLCQ YDXCP OCLCQ OCLCE OCLCQ UAB OCLCQ OCLCO OCLCQ UIU E7B OCLCF NLGGC OCLCQ EBLCP OCLCQ AZK OCLCQ SUR Z5A OCLCQ MERER OCLCQ RRP SGPBL INT OTZ OCLCQ CEF WYU YOU VT2 OCLCQ AGL OCLCO YDX OCLCQ UKAHL OCLCO EMRUN OCLCQ OCLCO OCLCQ SOC 019000 bisacsh 300/.1/519536 20 70.03 bcl Berry, William Dale Understanding regression assumptions William D. Berry Newbury Park, Calif. Sage Publications 1993 Newbury Park, Calif. Newbury Park, Calif. Sage Publications 1 online resource (vii, 91 pages) illustrations 1 online resource (vii, 91 pages) Text txt rdacontent computer c rdamedia online resource cr rdacarrier text file Sage university papers series. Quantitative applications in the social sciences no. 07-092 Includes bibliographical references (pages 89-90) 1. Introduction -- 2. A formal presentation of the regression assumptions -- The regression surface -- The role of the error term -- Other regression assumptions -- 3. A "weighty" illustration -- 4. The consequences of the regression assumptions being satisfied -- 5. The substantive meaning of regression assumptions -- Drawing dynamic inferences from cross-sectional regressions -- The assumption of the absence of perfect multicollinearity -- The assumption that the error term is uncorrelated with each of the independent variables -- Specification error: using the wrong independent variables -- The assumption that the mean of the error term is zero -- Assumptions about level of measurement -- The assumption of measurement without error -- Random measurement error -- Nonrandom measurement error -- Proxy variables -- The assumptions of linearity and additivity -- The assumption of homoscedasticity and lack of autocorrelation -- The substantive meaning of autocorrelation -- The substantive meaning of homoscedasticity -- The consequences of heteroscedasticity and autocorrelation -- The assumption that the error term is normally distributed -- 6. Conclusion Through the use of careful explanation and examples, Berry demonstrates how to consider whether the assumptions of multiple regression are actually satisfied in a particular research project Social sciences- Statistical methods Regression analysis Error analysis (Mathematics) Regression Analysis social sciences Sciences sociales- Méthodes statistiques Analyse de régression Théorie des erreurs SOCIAL SCIENCE- Methodology. Error analysis (Mathematics) Regression analysis. Social sciences- Statistical methods. Regressieanalyse. Estatistica aplicada as ciencias sociais. Social sciences Statistics Print version Berry, William Dale. Understanding regression assumptions. Newbury Park, Calif. : Sage Publications, 1993 080394263X (DLC) 92042925 (OCoLC)27067328 Quantitative applications in the social sciences no. 07-092