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Logit Model of High Blood Pressure

Author

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  • Evelyn Nkiruka Okeke

    (Department of Mathematics and Statistics, Federal University Wukari)

  • Joseph Uchenna Okeke

    (Department of Mathematics and Statistics, Federal University Wukari)

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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