各位兄弟姐妹:
给各位拜年了,祝你们吉年大吉。
0 R$ G( f I- G, x: k小生正在学习统计分析,对LOGIT回归分析有些很糊涂,例如简单模型中,因变量Y的观测值如何确定,用STATA软件分析,其中分析的结果如下,恳请各位解释这个结果的含义
( N" H6 d* |* h+ cLogit estimates Number of obs = 360 LR chi2(1) = 283.15+ X6 D: E r, K8 l Prob > chi2 = 0.0000 Log likelihood = -93.886407 Pseudo R2 = 0.6013
------------------------------------------------------------------------------- A0 y$ l$ m# w2 _ y | Coef. Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- x | .0351044 .0040812 8.60 0.000 .0271053 .0431035 _cons | -3.02836 .3669869 -8.25 0.000 -3.747641 -2.309079; M' D) h- p# W; Y" k0 x; Z ------------------------------------------------------------------------------- s5 _0 A9 g7 s' a* c0 ?) P
模型显著,系数显著,R2=0.6还行
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