组合 | 各组合与X9的回归模型 | |||
Combination | 回归方程regression equation (RE) | R2 | S | P |
MG1-1 | X9 = 2.8368X6 + 4.4977X8 − 198.0780 | 0.8190 | 140.0497 | 1.0100E−07 |
MG1-2 | X9 = −0.5860X1 + 0.5033X3−13.4722X4 + 2.3546X6 + 5.0670X8 − 326.0750 | 0.8222 | 146.7294 | 1.0100E−07 |
MG1-3 | X9 = −14.4057X2 + 0.7589X3 + 8.6419X4 + 2.6285X6 + 5.9336X8 − 405.4520 | 0.8289 | 144.1477 | 6.6400E−06 |
MG2-1 | X9 = 45.2437X7 + 4.8047X8 − 217.4920 | 0.9702 | 59.1115 | 1.3800E−18 |
MG2-2 | X9 = −0.1264X3 + 0.2988X4 + 46.9886X7 + 4.7109X8 − 177.9118 | 0.9706 | 60.8811 | 2.7400E−16 |
MG2-3 | X9 = −5.5547X1 + 0.0581X3 + 13.4617X4 + 49.0713X7 + 5.5905X8 − 259.2874 | 0.9737 | 58.7632 | 7.5877E−16 |
MG2-4 | X9 = −14.5938X2 + 0.2744X3 + 26.9193X4 + 48.4771X7 + 5.7937X8 − 305.3482 | 0.9771 | 54.9037 | 7.5877E−16 |
MG3-1 | X9 = 7.5678X1 + 1.6155X3 − 7.1035X4 + 4.9706X8 − 629.9217 | 0.7850 | 156.6788 | 2.2565E−05 |
MG3-2 | X9 = −2.0964X2 + 2.0622X3 + 15.3817X4 + 6.4253X8 − 797.9958 | 0.7773 | 159.1157 | 3.3600E−05 |