Box-cox transformation in regression analysis: an Illustration with telecommunications data

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dc.contributor.authorAdeleke, I. A
dc.contributor.authorEno, E. E
dc.contributor.authorOpara, I. A
dc.contributor.authorEsan, E. O
dc.date.accessioned2016-03-08T13:33:39Z
dc.date.available2016-03-08T13:33:39Z
dc.date.issued2007
dc.descriptionBeing text of paper presented at the 2007 Annual Statistical Conference of the Nigerian Statistical Association at Asaba, Delta stateen_US
dc.description.abstractThe aim of this study was to illustrate the application of Box-Cox transformation and other remedial measures on multiple regression analysis using telecommunication data. We had an initial regression with R2 of 25% inspite of the claim by the operators that the regressor variables usually affect the response variable. An application of Box-Cox transformation and removal of leverage points improved the regression to about 82%, which makes the model more useful. We therefore, suggest that Box-Cox should be applied to data with problem of non-normality.en_US
dc.identifier.citationAdeleke, I. A. et al (2007) ‘Box-cox transformation in regression analysis: an illustration with telecommunications data’ presented at the 2007 Annual Statistical Conference of the Nigerian Statistical Association at Asaba, Delta stateen_US
dc.identifier.urihttp://ir.unilag.edu.ng:8080/xmlui/handle/123456789/560
dc.language.isoenen_US
dc.subjectStatisticsen_US
dc.subjectRegression analysisen_US
dc.subjectTelecommunicationen_US
dc.subjectDataen_US
dc.titleBox-cox transformation in regression analysis: an Illustration with telecommunications dataen_US
dc.typePreprinten_US
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