我做了一个关于LOGIT模型的Eviews分析,是看系数吗?求真相,Dependent Variable:Y Method:ML - Binary Logit (Quadratic hill climbing) Date:05/01/14 Time:22:57 Sample:1 248 Included observations:248 Convergence achieved after 5 iterations
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我做了一个关于LOGIT模型的Eviews分析,是看系数吗?求真相,Dependent Variable:Y Method:ML - Binary Logit (Quadratic hill climbing) Date:05/01/14 Time:22:57 Sample:1 248 Included observations:248 Convergence achieved after 5 iterations
我做了一个关于LOGIT模型的Eviews分析,是看系数吗?求真相,
Dependent Variable:Y
Method:ML - Binary Logit (Quadratic hill climbing)
Date:05/01/14 Time:22:57
Sample:1 248
Included observations:248
Convergence achieved after 5 iterations
Covariance matrix computed using second derivatives
Variable Coefficient Std.Error z-Statistic Prob.
C -3.513185 1.620940 -2.167375 0.0302
X 1.428177 0.657091 2.173483 0.0297
Mean dependent var 0.500000 S.D.dependent var 0.501011
S.E.of regression 0.497167 Akaike info criterion 1.382850
Sum squared resid 60.80509 Schwarz criterion 1.411184
Log likelihood -169.4734 Hannan-Quinn criter.1.394256
Restr.log likelihood -171.9005 Avg.log likelihood -0.683360
LR statistic (1 df) 4.854233 McFadden R-squared 0.014119
Probability(LR stat) 0.027578
Obs with Dep=0 124 Total obs 248
Obs with Dep=1 124
我做了一个关于LOGIT模型的Eviews分析,是看系数吗?求真相,Dependent Variable:Y Method:ML - Binary Logit (Quadratic hill climbing) Date:05/01/14 Time:22:57 Sample:1 248 Included observations:248 Convergence achieved after 5 iterations
主要看系数,当然还有R方和P值.
x的P值是0.029,小于0.05,拒绝原假设,说明x对因变量有显著影响.
McFaddenR方是0.014,拟合优度很差,效果不好.
x的系数估计值是1.428,说明x越大,y越大,二者正相关.
若有帮助,请及时采纳,谢谢.
统计人刘得意