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Logit Model of High Blood Pressure

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  • Evelyn Nkiruka Okeke
  • Joseph Uchenna Okeke

Abstract

This paper is focused on the logit model of high blood pressure. We discussed logit model in detail and applied it to a real life data of high blood and normal blood pressure of 126 individuals. The analysis generated a model for finding the probability of having high blood pressure and revealed that heartbeat rate followed by weight and then age are factors affecting high blood pressure with a concordant percentage of 95.4.

Suggested Citation

  • Evelyn Nkiruka Okeke & Joseph Uchenna Okeke, 2017. "Logit Model of High Blood Pressure," European Journal of Engineering and Technology Research, European Open Science, vol. 2(12), pages 8-10, December.
    • Handle: RePEc:epw:ejeng0:v:2:y:2017:i:12:id:60429
    DOI: 10.24018/ejeng.2017.2.12.429
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    References listed on IDEAS

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    1. William H. Greene, 1992. "A Statistical Model for Credit Scoring," Working Papers 92-29, New York University, Leonard N. Stern School of Business, Department of Economics.
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