Table 5 Regression coefficients and statistical significance for the quadratic model.
Source | Sum of squares | Df | Mean square | F value | p-value prob > F |
|---|---|---|---|---|---|
Model | 402.33 | 9 | 44.70 | 98.67 | < 0.0001* |
A-FeSO4 | 12.50 | 1 | 12.50 | 27.59 | 0.0012* |
B-MnSO4 | 1.58 | 1 | 1.58 | 3.50 | 0.1037** |
C-MgSO4 | 1.17 | 1 | 1.17 | 2.58 | 0.1520** |
AB | 30.53 | 1 | 30.53 | 67.38 | < 0.0001* |
AC | 38.50 | 1 | 38.50 | 84.99 | < 0.0001* |
BC | 106.81 | 1 | 106.81 | 235.77 | < 0.0001* |
A2 | 50.22 | 1 | 50.22 | 110.86 | < 0.0001* |
B2 | 63.67 | 1 | 63.67 | 140.55 | < 0.0001* |
C2 | 75.29 | 1 | 75.29 | 166.20 | < 0.0001* |
Residual | 3.17 | 7 | 0.45 | ||
Lack of Fit | 1.68 | 3 | 0.56 | 1.50 | 0.3427 |
CV:1.19 | R2: 99.2 | Adjusted R2: 98.2% | Predicted R2:92.8% |