Table 2.
Linearization of size analysis after powers transforms by the Box-Cox method
| Droplets size at T0 | Droplets size at T5 | Rate size Variation | |
|---|---|---|---|
| Box-Cox for power Transform | Log10 | √ | √ |
| R2 brut | 0.96 | 0.96 | 0.93 |
| R2 adjusted | 0.93 | 0.93 | 0.88 |
| R2 Predicted | 0.85 | 0.8 | 0.74 |
| Constant | 1.34 | 5.81 | 5.72 |
| A | 0.0087 | 0.027 | − 0.29 |
| B | − 0.065 | − 0.73 | − 0.96 |
| C | 0.026 | − 0.15 | − 1.6 |
| D | − 0.21 | − 1.62 | − 0.96 |
| E | − 0.072 | − 0.89 | − 1.51 |
| AB | − 0.055 | − 0.55 | |
| AE | 0.079 | 0.33 | − 0.9 |
| BC | − 0.067 | 0.68 | |
| BD | 0.41 | ||
| DE | − 0.66 | ||
| CE | 0.031 | 0.31 | |
| DE | 0.047 | − 0.94 |
Regression coefficients (R2), and coded factors (varying between + 1 and − 1) of the linearization equation for parameters: A (oil), B (starch), C (protein), D (stirring speed) and E (stirring time)