Predication of dry rubber content in hevea latex based on SPSS multiple regression model

Abstract

The Dry Rubber content (DRC) in hevea latex is affected by a great many of factors, including producing area, strains, tree age, cutting system, origins and so on. Each factor was discussed and evaluated to confirm the influence degree. A predication model based on SPSS multiple regression models was constructed to analyse the factors influencing the DRC, and the regression equation was used to forecast the DRC in natural rubber latex. The results show that the predication model has a good achievement and the average relative error was 7.4%