Table 3.
Analysis of variance for response quadratic model Encapsulation efficiency (%).
Source | Sum of Squares | dfα | Mean square | F-value | Prob > F |
---|---|---|---|---|---|
Model | 56.17 | 9 | 6.24 | 16.95 | 0.0006** |
X1 | 35.74 | 1 | 35.74 | 97.07 | <0.0001** |
X2 | 1.54 | 1 | 1.54 | 4.18 | 0.0801 |
X3 | 1.66 | 1 | 1.66 | 4.50 | 0.0716 |
X1 X2 | 3.42 | 1 | 3.42 | 9.29 | 0.0186* |
X1 X3 | 0.081 | 1 | 0.081 | 0.22 | 0.6529 |
X2 X3 | 0.055 | 1 | 0.055 | 0.15 | 0.7101 |
4.75 | 1 | 4.75 | 12.91 | 0.0088** | |
7.70 | 1 | 7.70 | 20.92 | 0.0026** | |
0.21 | 1 | 0.21 | 0.58 | 0.4716 | |
Residual | 2.58 | 7 | 0.37 | ||
Lack of fit | 1.81 | 3 | 0.60 | 3.15 | 0.1484 |
Pure error | 0.77 | 4 | 0.19 | ||
Cor total | 58.75 | 16 |
Degree of freedom.
Significant at 0.05 level.
Significant at 0.01 level.