Table 3.
Regression coefficients for the microencapsulation of FE values of regression coefficients calculated for the FE microencapsulation.
| Source | Sum of squares | df | Mean square | F value |
P value Prob > F |
Significance |
|---|---|---|---|---|---|---|
| Model | 86.42 | 14 | 86.42 | 324.69 | <0.0001 | ∗∗ |
| X 1 | 9.70 | 1 | 9.70 | 87.72 | <0.0001 | ∗∗ |
| X 2 | 1.09 | 1 | 1.09 | 570.17 | 0.0214 | ∗ |
| X 3 | 3.66 | 1 | 3.66 | 150.02 | 0.0003 | ∗∗ |
| X 4 | 55.73 | 1 | 55.73 | 2.16 | <0.0001 | ∗∗ |
| X 1 X 2 | 5.625E − 003 | 1 | 5.625E − 003 | 3.20 | 0.8552 | |
| X 1 X 3 | 0.046 | 1 | 0.046 | 82.91 | 0.6026 | |
| X 1 X 4 | 1.07 | 1 | 1.07 | 9.149E − 005 | 0.0225 | ∗ |
| X 2 X 3 | 0.048 | 1 | 0.048 | 32.28 | 0.5942 | |
| X 2 X 4 | 9.025E − 003 | 1 | 9.025E − 003 | 0.86 | 0.8173 | |
| X 3 X 4 | 0.10 | 1 | 0.10 | 0.030 | 0.4410 | |
| X 1 2 | 8.56 | 1 | 8.56 | 635.26 | <0.0001 | ∗∗ |
| X 2 2 | 0.94 | 1 | 0.94 | 378.51 | 0.0310 | ∗ |
| X 3 2 | 1.88 | 1 | 1.88 | 2043.41 | 0.0043 | ∗∗ |
| X 4 2 | 8.99 | 1 | 8.99 | 2095.49 | <0.0001 | ∗∗ |
| Residual | 2.28 | 14 | 0.16 | |||
| Lack of fit | 1.75 | 10 | 0.17 | 1.31 | 0.4287 | |
| Pure error | 0.53 | 4 | 0.13 | |||
| Cor total | 88.70 | 28 |
* P < 0.05, significant; ** P < 0.01, highly significant.