Table 2.
ANOVA for Response Surface Quadratic model
| Source | Squares | df | Square | Value | Prob > F | |
|---|---|---|---|---|---|---|
| Model | 3520.91 | 14 | 251.49 | 27.12 | <0.0001 | significant |
| A | 467.1 | 1 | 467.10 | 50.38 | <0.0001 | significant |
| B | 495.82 | 1 | 495.82 | 53.47 | <0.0001 | significant |
| C | 12.44 | 1 | 12.44 | 1.34 | 0.2661 | |
| D | 102.84 | 1 | 102.84 | 11.09 | 0.0050 | significant |
| AB | 60.64 | 1 | 60.64 | 6.54 | 0.0228 | significant |
| AC | 13.57 | 1 | 13.57 | 1.46 | 0.2464 | |
| AD | 51.71 | 1 | 51.71 | 5.58 | 0.0332 | significant |
| BC | 20.64 | 1 | 20.64 | 2.23 | 0.1579 | |
| BD | 8.97 | 1 | 8.97 | 0.97 | 0.3420 | |
| CD | 1.21 | 1 | 1.21 | 0.13 | 0.7229 | |
| A2 | 510.68 | 1 | 510.68 | 55.08 | <0.0001 | significant |
| B2 | 1895.5 | 1 | 1895.50 | 204.43 | <0.0001 | significant |
| C2 | 157.96 | 1 | 157.96 | 17.04 | 0.0010 | significant |
| D2 | 547.58 | 1 | 547.58 | 59.06 | <0.0001 | significant |
| Residual | 129.81 | 14 | 9.27 | |||
| Lack of Fit | 111.17 | 10 | 11.12 | 2.38 | 0.2087 | not significant |
| Pure Error | 18.65 | 4 | 4.66 | |||
| Cor Total | 3650.72 | 28 |