Table 2.
The quadratic polynomial model of estimated regression coefficients and the ANOVA analysis results of the response surface optimized experiments.
| Source | Sum of Squares | DF | Mean Square | F Value | Prob > F | |
|---|---|---|---|---|---|---|
| Model | 0.08796 | 9 | 0.009773 | 54.91217 | <0.0001 | *** |
| A-Power | 0.0176 | 1 | 0.0176 | 98.8882 | <0.0001 | *** |
| B-Time | 0.022548 | 1 | 0.022548 | 126.6906 | <0.0001 | *** |
| C-Temperature | 0.004643 | 1 | 0.004643 | 26.08869 | 0.0014 | ** |
| A^2 | 0.016452 | 1 | 0.016452 | 92.43525 | <0.0001 | *** |
| B^2 | 0.003546 | 1 | 0.003546 | 19.92546 | 0.0029 | ** |
| C^2 | 0.00209 | 1 | 0.00209 | 11.74114 | 0.0110 | * |
| AB | 0.001 | 1 | 0.001 | 5.619796 | 0.0496 | * |
| AC | 0.006474 | 1 | 0.006474 | 36.37432 | 0.0005 | ** |
| BC | 0.011663 | 1 | 0.011663 | 65.52803 | <0.0001 | *** |
| Residual | 0.001246 | 7 | 0.000178 | |||
| Lack of Fit | 0.001246 | 3 | 0.000415 | Not significant | ||
| Pure Error | 0 | 4 | 0 | |||
| Cor. Total | 0.089205 | 16 | ||||
| R-Squared | 0.986034 | |||||
| Adj. R-Squared | 0.968077 | |||||
| Pred R-Squared | 0.776541 | |||||
| Adeq. Precision | 22.25447 |
*Indicated significant difference (P < 0.05), **indicated highly significant difference (P < 0.01), ***indicated extremely significant difference (P < 0.0001).