Table 2.
The regression model for predicting the best conditions for M. luteus inhibition with the analysis of variance (MANOVA).
| Source | Sum of squares | df | Mean square | F-value | P-value |
|---|---|---|---|---|---|
| Model | 0.5287 | 9 | 0.0587 | 19.45 | 0.0004 |
| A–A | 0.0545 | 1 | 0.0545 | 18.03 | 0.0038 |
| B–B | 0.0171 | 1 | 0.0171 | 5.67 | 0.0489 |
| C–C | 0.2926 | 1 | 0.2926 | 96.87 | < 0.0001 |
| AB | 0.0002 | 1 | 0.0002 | 0.0745 | 0.7928 |
| AC | 0.0182 | 1 | 0.0182 | 6.03 | 0.0437 |
| BC | 0.0169 | 1 | 0.0169 | 5.59 | 0.0499 |
| A2 | 0.0266 | 1 | 0.0266 | 8.81 | 0.0209 |
| B2 | 0.0576 | 1 | 0.0576 | 19.08 | 0.0033 |
| C2 | 0.0319 | 1 | 0.0319 | 10.55 | 0.0141 |
| Residual | 0.0211 | 7 | 0.003 | ||
| Lack of fit | 0.002 | 3 | 0.0007 | 0.1412 | 0.9302 |
| Pure error | 0.0191 | 4 | 0.0048 | ||
| Cor total | 0.5499 | 16 |