Keywords:-

Keywords: Multiple Linear Regression Model (MLRM), Binary Logistic Regression Model (BLRM), Hypertension, Weight (WT), Body Mass Index (BMI), Blood Pressure (BP), Gender->Class, Age.

Article Content:-

Abstract

In this study MLRM and BLRM were compared. To achieve the goal, MLRM and BLRM estimating approach were considered on a simultaneous equation models where gender is been classified as CLASS coded with an indicator, taking on the value 0 and 1 respectively. Data were collected based on Age, Sex, Weight, Height and Blood pressure of patients at two groups: ‘Group A and Group B from the file record office of Federal Medical Centre Owo, Ondo state. The body mass index (BMI) was calculated from the patient’s weight and height. Result from the analysis showed that MLRM and BLRM produced different values of coefficient and standard error in the two models. The MINITAB statistical software package was adopted to carry out the analysis of the results and the study however concluded that MLRM was considered to be the best contributory and most efficient model compared with that of BLRM.

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S.K, A., A.H, A., & O.A, E. (2015). On Comparative Modelling Of Multiple Linear Regression Model (MLRM) and Binary Logistic Regression Model (BLRM) For Hypertension in Human Body System. International Journal Of Mathematics And Computer Research, 3(08), 1110-1116. Retrieved from https://ijmcr.in/index.php/ijmcr/article/view/132