Table 2.
ANOVA analysis of Plackett–Burman design.
| Source | DF | Adj SS | Adj MS | F-Value | P-Value |
|---|---|---|---|---|---|
| Model | 14 | 0.487366 | 0.034812 | 3.52 | 0.040* |
| Linear | 13 | 0.485768 | 0.037367 | 3.78 | 0.033** |
| A | 1 | 0.000832 | 0.000832 | 0.08 | 0.779 |
| B | 1 | 0.092616 | 0.092616 | 9.37 | 0.016* |
| C | 1 | 0.005746 | 0.005746 | 0.58 | 0.468 |
| D | 1 | 0.063506 | 0.063506 | 6.42 | 0.035* |
| E | 1 | 0.013468 | 0.013468 | 1.36 | 0.277 |
| F | 1 | 0.275890 | 0.275890 | 27.91 | 0.001* |
| G | 1 | 0.003511 | 0.003511 | 0.36 | 0.568 |
| H | 1 | 0.008862 | 0.008862 | 0.90 | 0.371 |
| I | 1 | 0.004234 | 0.004234 | 0.43 | 0.531 |
| J | 1 | 0.000732 | 0.000732 | 0.07 | 0.792 |
| K | 1 | 0.000858 | 0.000858 | 0.09 | 0.776 |
| L | 1 | 0.015401 | 0.015401 | 1.56 | 0.247 |
| M | 1 | 0.000110 | 0.000110 | 0.01 | 0.918 |
| Curvature | 1 | 0.001598 | 0.001598 | 0.16 | 0.698 |
| Error | 8 | 0.079090 | 0.009886 | ||
| Lack-of-Fit | 6 | 0.016352 | 0.002725 | 0.09 | 0.991** |
| Pure Error | 2 | 0.062738 | 0.031369 | ||
| Total | 22 | 0.566456 |
Significant values with P-Value < 0.05.
Lack of fit is insignificant (P- value > 0.05)