PREDICT AND DESCRIBE RELATIONSHIPS BETWEEN THE LEVELS OF METHYLMERCURY IN HAIR SAMPLES OF KUALA LUMPUR RESIDENTS AND THEIR SOCIAL CHARACTERISTICSA.M. BOBAKERA, I. ALAKILIA, ELR. ELI. ELKHIDIRB AND S. B. SARMANIC
A quasi-quadratic polynomial model is developed to predict and describe relationships between the level of methylmercury in hair samples of Kuala Lumpur residents and their social characteristics. The race, gender, age and fish diet factors appear to account for the ability to predict level of methylmercury. The model has a high explanatory power with coefficient of determination R2= 88.4%. The results including interaction terms, showed a significant correlation at 1% level of significance. The results further revealed that the depicted rate of methylmercury level is heavily depending on the prevalence of the fish diet factor with an increasing rate.
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