The polynomial models were further analyzed by ANOVA analysis (Table 3) to estimate the significance of response surface models. The results reveal that the models were significant with R2 > 0.9 and without significant ‘lack-of-fit’. Moreover, the adjusted R2 were found to be in reasonable agreement with predicted R2. The lower values of coefficient of variance (C.V) indicate the reliability of experiments carried out. Further, adequate precision which measures the signal to noise ratio was observed to be adequate (>4) indicating that the models can be used to navigate the design space.