Table 6.
Variance analysis of the quadratic polynomial regression model for the growth cycle
| Variation sources | Sum of squares | DF | Mean square | F | P |
|---|---|---|---|---|---|
| Model | 3407.93 | 14 | 243.42 | 71.35 | < 0.0001 |
| Linear mixed model | 733.34 | 4 | 183.34 | 53.73 | < 0.0001 |
| X1Xa2 | 16.54 | 1 | 16.54 | 4.85 | 0.0342 |
| X1X3 | 0.86 | 1 | 0.86 | 0.25 | 0.6178 |
| X1X4 | 25.43 | 1 | 25.43 | 7.45 | 0.0097 |
| X1X5 | 3.51 | 1 | 3.51 | 1.03 | 0.3173 |
| X2X3 | 4.10 | 1 | 4.10 | 1.20 | 0.2805 |
| X2X4 | 51.26 | 1 | 51.26 | 15.02 | 0.0004 |
| X2X5 | 0.15 | 1 | 0.15 | 0.044 | 0.8344 |
| X3X4 | 78.88 | 1 | 78.88 | 23.12 | < 0.0001 |
| X3X5 | 21.72 | 1 | 21.72 | 6.37 | 0.0162 |
| X4X5 | 2098.92 | 1 | 2098.92 | 615.18 | < 0.0001 |
| Residual | 122.83 | 36 | 3.41 | ||
| Lack of fit | 0.00008 | 6 | 0.00001 | 0.000003 | 1.0000 |
| Error | 122.83 | 30 | 4.09 | ||
| Sum | 12,865.92 | 44 |
aNotes are the same as Table 1