Stepwise regression of agarwood oil significant chemical compounds into four quality differentiation

<span>This paper gives precise summary on the application of stepwise regression model based upon pre-process analysis boxplot for four chemical compounds into different qualities agarwood oil. In global market, oil is acknowledged as a pricey and valuable nature product owing to its benefits. Unfortunately, there no standard grading method grade classification. Intelligent in quality crucial one efforts classify quality. The main chosen this study by concerned specific parameter which value correlation coefficient, R2. To achieve goal, out eleven significant that consist 660 data samples from low, medium high are representing input. independent variables X1, X2, X3 X4 refer ɤ-Eudesmol, 10-epi-ɤ-eudesmol, β-agarofuran dihydrocollumellarin compounds, respectively. MATLAB software version r2015a has been simulation platform research work. result showed coefficient 0.756 p-value less than 0.05 significance level successfully passed performance criteria toward value.</span>