用SPSS做二元logistic回归，向后回归，结果计入模型的变量的显著在0.998,怎么回事？
LearderOrNot和截据项显著性概率都在0.05以上，可是模型最后还是把LearderOrNot放进去了，怎么回事？怎么解释啊？
Variables in the Equation |
| | B | S.E. | Wald | df | Sig. | Exp(B) |
Step 15a | NonAgriLabourN | -2.013E+00 | .691 | 8.484 | 1 | .004 | .134 |
LandArea | .069 | .031 | 5.015 | 1 | .025 | 1.072 |
AgriIncomePro | -8.519E-01 | .485 | 3.082 | 1 | .079 | .427 |
RecognitionOfFC | .449 | .184 | 5.950 | 1 | .015 | 1.567 |
distract | -2.843E-01 | .130 | 4.804 | 1 | .028 | .753 |
MachineInputCost | .002 | .001 | 3.393 | 1 | .065 | 1.002 |
LearderOrNot | -2.006E+01 | 9551.024 | .000 | 1 | .998 | 1.944E-09 |
Constant | 40.165 | 19102.048 | .000 | 1 | .998 | 2.775E+17 |
还碰到一个问题，就是模型的拟合度的值，伪R2的值好小啊，怎么办啊？
Model Summary |
Step | -2 Log likelihood | Cox & Snell R Square | Nagelkerke R Square |
15 | 380.684a | .112 | .161 |
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