Table 5 Analysis of qualified index variance of regression equation.
Source of Variance | Sum of squares | Degrees of freedom | Mean square | F | P |
|---|---|---|---|---|---|
Model | 50.03 | 9 | 5.56 | 5.17 | 0.0041 |
A | 6.43 | 1 | 6.43 | 5.98 | 0.0295 |
B | 5.96 | 1 | 5.96 | 5.55 | 0.0349 |
C | 3.20 | 1 | 3.20 | 2.97 | 0.1084 |
AB | 13.24 | 1 | 13.24 | 12.31 | 0.0038 |
AC | 1.09 | 1 | 1.09 | 1.01 | 0.3328 |
BC | 0.7381 | 1 | 0.7381 | 0.6866 | 0.4223 |
A2 | 16.63 | 1 | 16.63 | 15.47 | 0.0017 |
B2 | 0.8869 | 1 | 0.8869 | 0.8250 | 0.3802 |
C2 | 2.02 | 1 | 2.02 | 1.88 | 0.1937 |
Residual | 13.98 | 13 | 1.08 | ||
Lack of fit | 4.99 | 5 | 0.9973 | 0.8876 | 0.5312 |
Pure error | 8.99 | 8 | 1.12 | ||
Total | 64.01 | 22 |
