Table 2.
ANOVA of the regression model for prediction of EY and DPM.
| Source |
EY |
DPM |
||||||
|---|---|---|---|---|---|---|---|---|
| SS | df | F-value | p-value | SS | df | F-value | p-value | |
| Model | 616.72 | 9 | 308.35 | < 0.0001 | 964.03 | 9 | 129.08 | < 0.0001 |
| X1 (L) | 0.7626 | 1 | 3.43 | 0.1064 | 18.09 | 1 | 21.80 | 0.0023 |
| X1 (Q) | 129.51 | 1 | 582.77 | < 0.0001 | 119.47 | 1 | 143.97 | < 0.0001 |
| X2 (L) | 2.43 | 1 | 10.94 | 0.0130 | 7.72 | 1 | 9.31 | 0.0186 |
| X2 (Q) | 88.75 | 1 | 399.35 | < 0.0001 | 451.41 | 1 | 543.96 | < 0.0001 |
| X3 (L) | 170.20 | 1 | 765.88 | < 0.0001 | 0.0055 | 1 | 0.0066 | 0.9373 |
| X3 (Q) | 169.43 | 1 | 762.42 | < 0.0001 | 233.80 | 1 | 281.74 | < 0.0001 |
| X1.X2 | 0.2116 | 1 | 0.9522 | 0.3617 | 0.3025 | 1 | 0.3645 | 0.5651 |
| X1.X3 | 7.54 | 1 | 33.91 | 0.0006 | 47.54 | 1 | 57.29 | 0.0001 |
| X2.X3 | 3.37 | 1 | 15.15 | 0.0060 | 0.0025 | 1 | 0.0030 | 0.9578 |
| Lack of fit | 1.22 | 3 | 4.76 | 0.0829 | 2.98 | 3 | 1.40 | 0.3646 |
| Pure Error | 0.3403 | 4 | 2.83 | 4 | ||||
| Residual | 1.56 | 7 | 5.81 | 7 | ||||
| Corr. Total | 618.27 | 16 | 969.84 | 16 | ||||
| R2 | 0.9975 | 0.9940 | ||||||
| R2Adj | 0.9942 | 0.9863 | ||||||
| R2Pred | 0.9677 | 0.9463 | ||||||
| CV % | 1.44 | 6.00 | ||||||
L = linear terms; Q = quadratic terms; X1 = Amplitude (%); X2 = Time (min); X3 = Solvent-to-solid ratio (mL/g).