Table 3.
ANOVA for the response surface quadratic model.
| Source | SS | DF | MS | F | Pr > F | Sig |
|---|---|---|---|---|---|---|
| Model | 16.45 | 14 | 1.18 | 30.7 | <0.0001 | significant |
| A | 0.3468 | 1 | 0.3468 | 9.06 | 0.0094 | ** |
| B | 0.472 | 1 | 0.472 | 12.33 | 0.0035 | ** |
| C | 0.1261 | 1 | 0.1261 | 3.29 | 0.091 | |
| D | 8.38 | 1 | 8.38 | 219.07 | <0.0001 | *** |
| AB | 0.5929 | 1 | 0.5929 | 15.49 | 0.0015 | ** |
| AC | 0.0009 | 1 | 0.0009 | 0.0235 | 0.8803 | |
| AD | 0.3721 | 1 | 0.3721 | 9.72 | 0.0076 | ** |
| BC | 0.009 | 1 | 0.009 | 0.2358 | 0.6347 | |
| BD | 1.48 | 1 | 1.48 | 38.58 | <0.0001 | *** |
| CD | 0.4225 | 1 | 0.4225 | 11.04 | 0.005 | ** |
| A2 | 3.63 | 1 | 3.63 | 94.79 | <0.0001 | *** |
| B2 | 0.1515 | 1 | 0.1515 | 3.96 | 0.0665 | |
| C2 | 0.121 | 1 | 0.121 | 3.16 | 0.0971 | |
| D2 | 1.25 | 1 | 1.25 | 32.68 | <0.0001 | *** |
| Residual | 0.5358 | 14 | 0.0383 | |||
| Lack of Fit | 0.4336 | 10 | 0.0434 | 1.7 | 0.3216 | not significant |
| Pure Error | 0.1021 | 4 | 0.0255 | |||
| Cor Total | 16.99 | 28 |
Note: SS: Sum of squares; DF: Degree of freedom; MS: Mean square; Pr: Probability; ** p < 0.01, *** p < 0.001; R2 = 0.8203, Adjusted R2 = 0.9369, Predicted R2 = 0.8436, C.V.% = 2.076.