Logit Model of High Blood Pressure

Evelyn Nkiruka Okeke and Joseph Uchenna Okeke
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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

European Journal of Engineering and Technology Research, 2017, vol. 2, issue 12, 8-10

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.

Keywords: Age; Binary Logit; Essential Hypertension; Heartbeat; Hypertension; Logit Model; Weight (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:epw:ejeng0:v:2:y:2017:i:12:id:60429

DOI: 10.24018/ejeng.2017.2.12.429

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