Table 3.
Analysis of variance for response quadratic model
| Encapsulation efficiency (%) | |||||
|---|---|---|---|---|---|
| Source | Sum of Square | df* | Mean Square | F-value | Prob > F |
| Model | 2833.00 | 9 | 314.78 | 51.40 | < 0.0001** |
| X1 | 239.04 | 1 | 239.04 | 39.03 | 0.0004** |
| X2 | 1696.82 | 1 | 1696.82 | 277.06 | < 0.0001** |
| X3 | 58.10 | 1 | 58.10 | 9.49 | 0.0178** |
| X1X2 | 148.11 | 1 | 148.11 | 24.18 | 0.0017** |
| X1X3 | 43.10 | 1 | 43.10 | 7.04 | 0.0328** |
| X2X3 | 23.77 | 1 | 23.77 | 3.88 | 0.0895 |
| X1 2 |
60.42 | 1 | 60.42 | 9.86 | 0.0164** |
| X2 2 |
506.98 | 1 | 506.98 | 82.78 | < 0.0001** |
| X3 2 |
18.93 | 1 | 18.93 | 3.09 | 0.1221 |
| Residual | 42.87 | 7 | 6.12 | ||
| Lack of Fit | 30.71 | 3 | 10.24 | 3.37 | 0.1358 |
| Pure Error | 12.16 | 4 | 3.04 | ||
* Degree of freedom.
** Significant at 0.05 level.