Table 6 Variance analysis of missed seeding index of regression equation.
Source of variance | Sum of squares | Degrees of freedom | Mean square | F | P |
|---|---|---|---|---|---|
Model | 12.64 | 6 | 2.11 | 5.37 | 0.0033 |
A | 1.37 | 1 | 1.37 | 3.50 | 0.0798 |
B | 2.72 | 1 | 2.72 | 6.94 | 0.0180 |
C | 3.16 | 1 | 3.16 | 8.07 | 0.0118 |
AB | 2.69 | 1 | 2.69 | 6.86 | 0.0186 |
AC | 0.0264 | 1 | 0.0264 | 0.0674 | 0.7984 |
BC | 2.67 | 1 | 2.67 | 6.80 | 0.0190 |
A2 | 0.0747 | 1 | 0.0747 | 0.1736 | 0.6837 |
B2 | 0.1182 | 1 | 0.1182 | 0.2747 | 0.6090 |
C2 | 0.4945 | 1 | 0.4945 | 1.15 | 0.3033 |
Residual | 6.27 | 16 | 0.3922 | ||
Lack of fit | 3.34 | 8 | 0.4169 | 1.13 | 0.4312 |
Pure error | 2.94 | 8 | 0.3674 | ||
Total | 18.92 | 22 |