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note: x1 != -9 predicts success perfectly
x1 dropped and 111 obs not used
note: x2 omitted because of collinearity
Iteration 0: log likelihood = -32.543702
Iteration 1: log likelihood = -27.94922
Iteration 2: log likelihood = -20.834636
Iteration 3: log likelihood = -20.141473
Iteration 4: log likelihood = -20.111521
Iteration 5: log likelihood = -20.111426
Iteration 6: log likelihood = -20.111426
Logistic regression Number of obs = 176
LR chi2(12) = 24.86
Prob > chi2 = 0.0155
Log likelihood = -20.111426 Pseudo R2 = 0.3820
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y | Coef. Std. Err. z P>|z| [95% Conf. Interval]
-------------+----------------------------------------------------------------
x1 | 0 (omitted)
x2 | 0 (omitted)
x3 | 2.086607 1.434998 1.45 0.146 -.7259375 4.899152
x4 | -1.048709 1.250647 -0.84 0.402 -3.499932 1.402513
x5 | 2.353441 1.278585 1.84 0.066 -.1525404 4.859422
x6 | -3.222324 1.606267 -2.01 0.045 -6.37055 -.0740984
x7 | -.9674359 1.367167 -0.71 0.479 -3.647034 1.712162
x8 | .2429994 .521279 0.47 0.641 -.7786886 1.264687
x9 | -.2405252 .5741889 -0.42 0.675 -1.365915 .8848644
x10 | -1.260812 .5825088 -2.16 0.030 -2.402508 -.1191159
x11 | -.0937596 .5756037 -0.16 0.871 -1.221922 1.034403
x12 | -.5024656 .6896467 -0.73 0.466 -1.854148 .849217
x13 | .6432115 .6975402 0.92 0.356 -.7239422 2.010365
x14 | -.1574617 .4392701 -0.36 0.720 -1.018415 .7034919
_cons | -3.723677 2.301555 -1.62 0.106 -8.234643 .7872891
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