It is important to model out the optimization of energy process of palm kernel tree so as to evaluate the optimal values of the energy content parameters which will determines the performance and the useful lifespan of the palm kernel tree. This present study aims to develop models to investigate the effect of moisture content on the energy content of palm kernel tree that are 10 years and 20 years old using regression technique. In order to check the adequacy of the regression model, analysis of variance (ANOVA) was used. The experimental results are based on adequate laboratory methodology to increase the reliability of the experiments. It was clear from the ANOVA that the regression model is capable to predict the energy content with high accuracy.
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