On the Study of Clear Causal Risk Factors of Diabetes Mellitus Using Multiple Regression
Ibrahim Abubakar Sadiq, Kode Komali
Asian Journal of Probability and Statistics · pp. 29–47 · Published 25 Nov 2020
10.9734/ajpas/2020/v9i430233Abstract
The incurable lingering metabolic syndrome of diabetes mellitus is an up-surging global tricky with tremendous physical, social, mental, economics and health undesired ramifications. Three hundred and ninety four diabetic patients were measured on 4 baseline variable age (years), sex (Male=1 and Female=2), body mass index (kg/m2) and blood pressure (mmHg). Blood sugar concentration (mg/dl) represented the response variable. The basic objective of this study is to verify the clear causal risk factors of diabetes. Both Multiple Linear Regression and Stepwise Regression techniques were applied on the data and the analysis showed that Body Mass Index (kg/m2) and Blood Pressure (mmHg) are the clearest risk factors of diabetes. This justification served the same purpose in the procedure of variables selection used.
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