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Dependent Variable: Y   
Method: ML - Binary Probit (Quadratic hill climbing)   
Date: 01/05/11   Time: 19:10   
Sample: 1 20   
Included observations: 20   
Convergence achieved after 500 iterations   
WARNING: Singular covariance - coefficients are not unique   
WARNING: complete separation observed at estimated parameters   
        (results may not be valid)   
Covariance matrix computed using second derivatives   
   
Variable Coefficient Std. Error z-Statistic Prob.  
   
X1 1.174425 NA NA NA
X2 -0.195953 NA NA NA
X3 -1.621803 NA NA NA
X4 -0.089234 NA NA NA
X5 -0.900224 NA NA NA
X6 2.216829 NA NA NA
X7 0.748945 NA NA NA
X8 0.306244 NA NA NA
X9 -3.344928 NA NA NA
X10 -1.761673 NA NA NA
C -21.22178 NA NA NA
   
McFadden R-squared 1.000000     Mean dependent var  0.350000
S.D. dependent var 0.489360     S.E. of regression  1.54E-27
Akaike info criterion 1.100000     Sum squared resid  2.13E-53
Schwarz criterion 1.647653     Log likelihood  0.000000
Hannan-Quinn criter. 1.206908     Restr. log likelihood  -12.94893
LR statistic 25.89787     Avg. log likelihood  0.000000
Prob(LR statistic) 0.003880   
   
Obs with Dep=0 13      Total obs  20
Obs with Dep=1 7   
   
用eviews中的logit分析后出现这样的结果的原因？请指教指教，吾不胜感激

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关键词：coefficients observations coefficient observation Convergence achieved matrix second Error

Y应该是你观测值个数比较少