Table 3 The performance of polynomial regression model for prediction of interference effect of variables.
The interference of parameters | SSE | R-square | Adjusted R-square | RMSE | Effective weight | MAPE | Fitted model |
|---|---|---|---|---|---|---|---|
Concentration and temperature | 0.61 | 0.94 | 0.94 | 0.1 | Non | 0.4 | Cubic |
Wavelength and temperature | 0.1375 | 0.7 | 0.62 | 0.05 | Concentration | 0.1 | Linear |
Concentration and wavelength | 0.037 | 0.921 | 0.9137 | 0.02606 | Non | 0.48 | Quadratic |
