Question

帮我看一下用eviews分析的logistic模型的结果吧

Dependent Variable: Y
Method: ML - Binary Logit (Quadratic hill climbing)
Date: 05/22/14 Time: 12:32
Sample: 1 58
Included observations: 58
Convergence achieved after 7 iterations
Covariance matrix computed using second derivatives

Variable Coefficient Std. Error z-Statistic Prob.

C -18.04612 7.612163 -2.370695 0.0178
X2 2.194144 1.499898 1.462862 0.1435
X3 3.961387 1.624073 2.439169 0.0147
X5 4.596641 2.011078 2.285661 0.0223
X6 0.106854 1.393344 0.076689 0.9389
X8 -2.057591 1.067465 -1.927549 0.0539

McFadden R-squared 0.754600 Mean dependent var 0.224138
S.D. dependent var 0.420655 S.E. of regression 0.218664
Akaike info criterion 0.468049 Sum squared resid 2.486322
Schwarz criterion 0.681198 Log likelihood -7.573409
Hannan-Quinn criter. 0.551075 Restr. log likelihood -30.86154
LR statistic 46.57626 Avg. log likelihood -0.130576
Prob(LR statistic) 0.000000

Obs with Dep=0 45 Total obs 58
Obs with Dep=1 13

我想知道 我哪几个解释变量可以用 z统计量拿来干嘛的啊 我这个模型可不可以用啊

Answer 1

logistic建议用spss，更加完善一些
我替别人做这类的数据分析蛮多的