Application of Quantile Regression and Ordinary Least Squares Regression in Modeling Body Mass Index in Federal Medical Centre Jalingo

This is a Quantile Regression study (also classified as: Ordinary Least Squares Regression).

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Key Points

The study finds that quantile regression effectively estimates body mass index under varying nutritional statuses.
Malnutrition rates contribute significantly to morbidity, demonstrating a substantial public health challenge in Nigeria.
Application of both quantile regression and ordinary least squares regression provides comprehensive insights into body mass index variations.
Quantile regression may offer more adaptable solutions for understanding nutritional issues, suggesting improved health interventions.

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Application of quantile and ordinary least squares regression models body mass index, highlighting malnutrition in Nigeria.

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Adeniyi Oyewole Ogunmola (2025) studied this question.

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