回归结果为什么没有P值和F值

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lucywitherspoon 发表于 2011-10-13 16:23:28 |AI写论文

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我做的是一个简单的线性回归，回归结果如下，请问连老师，为什么回归结果显示不了P值和F值呢
Linear regression             Number of obs = 6805
            F( 31,  1431) =    .
            Prob > F    =    .
            R-squared    =  0.1904
            Root MSE    =  .13168

      (Std.       Err. adjusted for 1432 clusters in code)

      Robust
ni_b_future    Coef.       Std. Err.       t P>t    [95% Conf. Interval]

rev_a .4448976       .0313161       14.21 0.000    .3834671 .5063281
cogs_a -.4458907       .0316127       -14.10 0.000    -.507903 -.3838784
opex_a -.4729381       .0474248       -9.97 0.000 -.5659677 -.3799086
netother_a -.1474724       .1422666       -1.04 0.300 -.4265458 .1316009
rev_d .5588296       .081423       6.86 0.000    .3991082 .7185509
cogs_d -.3482761       .0860005       -4.05 0.000 -.5169766 -.1795755
opex_d -.9474267       .3803056       -2.49 0.013 -1.693443 -.2014105
netother_d .5258416       .0544808       9.65 0.000    .4189707 .6327125
rev_e .4312789       .0317752       13.57 0.000    .368948 .4936097
cogs_e -.4371951       .0334183       -13.08 0.000 -.5027492 -.3716409
opex_e -.3850302       .0616198       -6.25 0.000 -.5059051 -.2641553
netother_e -.1269691       .1502334       -0.85 0.398 -.4216703 .1677322
rev_f .4330696       .0452206       9.58 0.000    .3443638 .5217754
cogs_f -.4835159       .0598611       -8.08 0.000 -.6009409 -.366091
opex_f -.4567022       .0844008       -5.41 0.000 -.6222648 -.2911397
netother_f -.0418188       .145589       -0.29 0.774 -.3274096    .243772
k2 -.0058095       .0044664       -1.30 0.194 -.0145709 .0029519
k3 -.0149469       .0043233       -3.46 0.001 -.0234275 -.0064663
k4 .0080278       .0041019       1.96 0.051 -.0000186 .0160742
k5 .0318745       .006388       4.99 0.000    .0193438 .0444053
k6 .1064478       .0108257       9.83 0.000    .0852118 .1276838
k7 (omitted)
t2 .0354664       .0296297       1.20 0.232 -.0226559 .0935887
t3 .0006063       .0138911       0.04 0.965 -.0266427 .0278553
t4 .0145719       .0139571       1.04 0.297 -.0128066 .0419504
t5 -.0223257       .0184284       -1.21 0.226 -.0584753 .0138239
t6 .0135204       .0164685       0.82 0.412 -.0187846 .0458253
t7 -.0185392       .0183959       -1.01 0.314 -.0546251 .0175466
t8 .0051583       .0150071       0.34 0.731 -.0242799 .0345966
t9 .0046394       .0150398       0.31 0.758    -.024863 .0341417
t10    .021065       .0149796       1.41 0.160 -.0083193 .0504493
t11 -.0327919       .0300145       -1.09 0.275 -.0916691 .0260853
t12    .004004       .0157635       0.25 0.800 -.0269181 .0349262
_cons -.0264271       .0140678       -1.88 0.061 -.0540227 .0011686