TABLE 4.
Regression analysis summary for various data fitting models.
| Model | R 2 | Adjusted R 2 | SD | Mean | % CV | p-value |
|---|---|---|---|---|---|---|
| Response Y1 | ||||||
| Quadratic | 0.9585 | 0.8952 | 46.77 | 318.10 | 14.70 | 0.0018 |
| Linear | 0.5513 | 0.4392 | 108.17 | 318.10 | 34.01 | 0.0187 |
| 2FI | 0.7598 | 0.5996 | 91.40 | 318.10 | 28.73 | 0.0189 |
| Response Y2 | ||||||
| Quadratic | 0.9684 | 0.9210 | 0.022 | 0.3460 | 6.45 | 0.0008 |
| Linear | 0.6017 | 0.5021 | 0.056 | 0.3460 | 16.18 | 0.0095 |
| 2FI | 0.7171 | 0.5286 | 0.054 | 0.3460 | 15.74 | 0.0361 |
| Response Y3 | ||||||
| Quadratic | 0.9333 | 0.8331 | 2.30 | 75.39 | 3.05 | 0.0067 |
| Linear | 0.4792 | 0.3489 | 4.54 | 75.39 | 6.02 | 0.0435 |
| 2FI | 0.5959 | 0.3265 | 4.62 | 75.39 | 6.12 | 0.1369 |
Y1, particle size; Y2, PDI; Y3, entrapment efficiency; R 2, coefficient of correlation; CV, coefficient of variation.