Table 2.
The results of analysis of variance (ANOVA) for regression model of pectin yield and DE
| Source | Sum of squares | DF | Mean square | F value | p value |
|---|---|---|---|---|---|
| (A) Yield | |||||
| Regression | 671.395 | 9 | 74.599 | 674.69 | 0.000 |
| Linear | 578.820 | 3 | 192.940 | 1744.98 | 0.000 |
| Square | 71.081 | 3 | 23.694 | 214.29 | 0.000 |
| Interaction | 21.493 | 3 | 7.164 | 64.80 | 0.000 |
| Residual error | 0.553 | 5 | 0.111 | ||
| Lack-of-fit | 0.216 | 3 | 0.072 | 0.43 | 0.757 |
| Pure error | 0.337 | 2 | 0.169 | ||
| Total | 671.948 | 14 | |||
| R2 | 0.9992 | ||||
| Adj R2 | 0.9977 | ||||
| Pred R2 | 0.9937 | ||||
| (B) DE | |||||
| Regression | 1092.51 | 9 | 121.391 | 92.97 | 0.000 |
| Linear | 1013.16 | 3 | 337.719 | 258.66 | 0.000 |
| Square | 43.22 | 3 | 14.405 | 11.03 | 0.012 |
| Interaction | 36.14 | 3 | 12.048 | 9.23 | 0.018 |
| Residual error | 6.53 | 5 | 1.306 | ||
| Lack-of-fit | 6.03 | 3 | 2.009 | 8.02 | 0.113 |
| Pure error | 0.50 | 2 | 0.251 | ||
| Total | 1099.04 | 14 | |||
| R2 | 0.9941 | ||||
| Adj R2 | 0.9834 | ||||
| Pred R2 | 0.9112 | ||||