Would a logistic regression analysis reveal the keys to improving customer retention? Examine the enclosed results of...

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Would a logistic regression analysis reveal the keys toimproving customer retention?
Examine the enclosed results of logistic regression of Retainedon Esent and on Eclickrate, and then discuss the results and makerecommendations on how to improve customer retention.

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AbstractLogistic regression is used to obtain odds ratio in the presenceof more than one explanatory variable The procedure is quitesimilar to multiple linear regression with the exception that theresponse variable is binomial The result is the impact of eachvariable on the odds ratio of the observed event of interest Themain advantage is to avoid confounding effects by analyzing theassociation of all variables together In this article we explainthe logistic regression procedure using examples to make it assimple as possible After definition of the technique the basicinterpretation of the results is highlighted and then some specialissues are discussedIntroductionOne of the previous topics in Lessons in biostatisticspresented the calculation usage and interpretation of odds ratiostatistic and greatly demonstrated the simplicity of odds ratio inclinical practice 1 The example used then was from a fictionalstudy where the effects of two drug treatments toStaphylococcus Aureus SA endocarditis were comparedOriginal data are reproduced on Table 1Table 1Results from fictional endocarditis treatment study by McHugh1StandardtreatmentNew treatmentTotalsDied15217169Survived248103351Totals400120520Following 1 the odds ratio OR of death of patients usingstandard treatment can be calculated as 152 103 248 47 371 meaning that patients See Answer

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