Table 2.
ANVOA analysis for RSM model.
| Source of variance | SQ | df | MS | F value | p value |
|---|---|---|---|---|---|
| Model | 0.77 | 14 | 0.055 | 8.72 | < 0.0001** |
| X1 | 8.533E-03 | 1 | 8.533E-03 | 1.36 | 0.2621 |
| X2 | 0.20 | 1 | 0.20 | 32.27 | < 0.0001** |
| X3 | 0.072 | 1 | 0.072 | 11.74 | 0.0041** |
| X4 | 0.029 | 1 | 0.029 | 4.62 | 0.0484* |
| X12 | 0.15 | 1 | 0.15 | 23.47 | 0.0002** |
| X22 | 0.0049 | 1 | 0.0049 | 7.73 | 0.0140* |
| X32 | 0.066 | 1 | 0.066 | 10.46 | 0.0056** |
| X42 | 0.13 | 1 | 0.13 | 20.75 | 0.0004** |
| X1X2 | 3.025E-03 | 1 | 3.025E-03 | 0.48 | 0.4984 |
| X1X3 | 9.000E-04 | 1 | 9.000E-04 | 0.14 | 0.7104 |
| X1X4 | 0.070 | 1 | 0.070 | 11.17 | 0.0045** |
| X2X3 | 0.084 | 1 | 0.084 | 13.38 | 0.0023** |
| X2X4 | 9.025E-03 | 1 | 9.025E-03 | 1.44 | 0.2494 |
| X3X4 | 4.225E-03 | 1 | 4.225E-03 | 0.67 | 0.4251 |
| Residual | 0.094 | 15 | 6.285E-0.003 | ||
| Lack of fit | 0.017 | 10 | 1.654E-0.003 | 0.11 | 0.9985 |
| Pure error | 0.078 | 5 | 0.016 | ||
| Sum | 0.86 | 29 | |||
| R2 = 0.8906 | R2Adj = 0.7885 | C.V. = 0.7595 |