Table 3.
Variance analysis of the quadratic polynomial regression model for yield
| Variation sources | Sum of squares | DF | Mean square | F | P |
|---|---|---|---|---|---|
| Model | 3,760,676 | 14 | 2686.20 | 397.07 | < 0.0001 |
| Linear mixed model | 29,142.60 | 4 | 7285.65 | 1076.96 | < 0.0001 |
| X1Xa2 | 14.08 | 1 | 14.08 | 2.08 | 0.0079 |
| X1X3 | 18.01 | 1 | 18.01 | 2.66 | 0.0027 |
| X1X4 | 918.75 | 1 | 918.75 | 135.81 | < 0.0001 |
| X1X5 | 1.54 | 1 | 1.54 | 0.23 | 0.6823 |
| X2X3 | 34.34 | 1 | 34.34 | 5.08 | 0.0014 |
| X2X4 | 972.00 | 1 | 972.00 | 143.68 | < 0.0001 |
| X2X5 | 147.70 | 1 | 147.70 | 21.83 | < 0.0001 |
| X3X4 | 62.11 | 1 | 62.11 | 9.18 | < 0.0001 |
| X3X5 | 422.45 | 1 | 422.45 | 62.45 | < 0.0001 |
| X4X5 | 4029.67 | 1 | 4029.67 | 595.66 | < 0.0001 |
| Residual | 128.86 | 36 | 3.58 | ||
| Lack of fit | 27.38 | 6 | 4.56 | 1.35 | 0.2669 |
| Error | 101.48 | 30 | 3.38 | ||
| Sum | 37,708.24 | 29 |
aNotes are the same as Table 1