A Study of Multicollinearity Effects on a Binary Response

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dc.contributor.authorAdejumo, Adebowale Olusola
dc.contributor.authorJolayemi, Emmanuel Teju
dc.date.accessioned2018-12-18T08:57:49Z
dc.date.available2018-12-18T08:57:49Z
dc.date.issued2000-06-12
dc.description.abstractRegression analysis involves the study of existence of relationships between the dependent variable (the response) and sets of independent variables. If the correlation that exists between the independent variables is however high, then the estimates of the regression coefficients of these predictors are unstable and therefore unreliable. This is referred to as multicollinearity effect in this paper. In this paper we consider the multicollinearity effect on a binary response using more than one independent variable. Without loss of generality we used the logistic function, which represents the family of monotonic functions, to model the response. We observed that the expected response could differ sometimes remarkedly but similarly monotonic when multicollinearity exists between the predictors. This fact is useful in obtaining a value of the response of the logistic function which could be greater than the values of any of the individual function when the levels of the independent variables are carefully chosen.en_US
dc.description.sponsorshipSelfen_US
dc.identifier.citationAdejumo, A. O. and Jolayemi, E.T (2000). A Study of Multicollinearity Effects on a Binary Response; Nigerian Journal of Pure and Applied Sciences. 15:1088 – 1093. (Published by the Faculty of Science, University of Ilorin). https://www.unilorin.edu.ng/ejournals/index.php/njpasen_US
dc.identifier.urihttp://hdl.handle.net/123456789/1399
dc.language.isoenen_US
dc.publisherFaculty of Science, University of Ilorinen_US
dc.relation.ispartofseries15;1088 – 1093
dc.subjectMulticollinearityen_US
dc.subjectBinary Responseen_US
dc.subjectRegressionen_US
dc.titleA Study of Multicollinearity Effects on a Binary Responseen_US
dc.typeArticleen_US

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