Table 3.
Results of variance analysis of quadratic multinomial simulation.
Source | Sum of square | DF | Mean square | F value | P value | Significance |
---|---|---|---|---|---|---|
Model | 69.96 | 9 | 7.77 | 164.54 | < 0.0001 | ** |
X1 | 0.26 | 1 | 0.26 | 5.56 | 0.0504 | |
X2 | 2.00 | 1 | 2.00 | 42.34 | 0.0003 | ** |
X3 | 0.60 | 1 | 0.60 | 12.69 | 0.0092 | ** |
X1 X2 | 0.23 | 1 | 0.23 | 4.78 | 0.0651 | |
X1 X3 | 1.60 × 10−3 | 1 | 1.60 × 10−3 | 0.034 | 0.8592 | |
X2 X3 | 0.31 | 1 | 0.31 | 6.52 | 0.0379 | * |
X | 8.29 | 1 | 8.29 | 175.44 | < 0.0001 | ** |
X | 11.54 | 1 | 11.54 | 244.27 | < 0.0001 | ** |
X | 40.80 | 1 | 40.80 | 863.70 | < 0.0001 | ** |
Lack of Fit | 0.26 | 3 | 0.086 | 4.76 | 0.0828 | |
Pure Error | 0.072 | 4 | 0.018 | |||
Cor total | 70.292 | 16 | R2 = 0.9953, R = 0.9892 |
*was significant at the 5% level (P < 0.05); **was significant at the 1% level (P < 0.01).