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dc.contributor.authorShieh, GWen_US
dc.date.accessioned2014-12-08T15:43:51Z-
dc.date.available2014-12-08T15:43:51Z-
dc.date.issued2001-05-01en_US
dc.identifier.issn0003-1305en_US
dc.identifier.urihttp://dx.doi.org/10.1198/000313001750358437en_US
dc.identifier.urihttp://hdl.handle.net/11536/29656-
dc.description.abstractThe inequality between the coefficient of determination and the sum of two squared simple correlation coefficients in a two-variable regression model is reexamined through two relative measures. They are the relative coefficient of determination and the relative simple correlation, which are the ratio of the coefficient of determination to the sum of squares of the two simple correlations and the ratio of two simple correlations, respectively. This approach not only permits new insights into their relationship hut also allows clear and informative visual representations of various aspects of the counterintuitive condition. We consider the occurrence and corresponding magnitude? probability and expected magnitude of the enhancement-synergism situation. Numerical examples are presented to illustrate these phenomena.en_US
dc.language.isoen_USen_US
dc.subjectcoefficient of determinationen_US
dc.subjectmultiple regressionen_US
dc.subjectsimple correlation coefficienten_US
dc.titleThe inequality between the coefficient of determination and the sum of squared simple correlation coefficientsen_US
dc.typeArticleen_US
dc.identifier.doi10.1198/000313001750358437en_US
dc.identifier.journalAMERICAN STATISTICIANen_US
dc.citation.volume55en_US
dc.citation.issue2en_US
dc.citation.spage121en_US
dc.citation.epage124en_US
dc.contributor.department管理科學系zh_TW
dc.contributor.departmentDepartment of Management Scienceen_US
dc.identifier.wosnumberWOS:000168419400007-
dc.citation.woscount10-
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