Need an explanation to logistic regression output & Kolmogorov Smirnov output.

[soji Ashasoji <ashasoji@yahoo.com>]

Hi all,

    

 

     My questions are in two folds:

1.How do i interprete this Kolmogorov-Smirnov test for normality in terms of its statistics and probability 

      Kolmogorov-Smirnov Test for Normality:
                         Statistic   Probability
        liquidity x1       0.3104240   0.0000881
           growth x2       0.1440459   0.2276654
    profitability x3      0.0652851   0.9740235
          gearing x4       0.1453007   0.2193538
         asset    x5       0.0802101   0.8789682

 

2.The output below is as a result of analysis of logistic regression.I want someone to help explain the significant
or otherwise of the output.What are: null deviance,residual deviance and Fisher scoring iterations explaining in the output.

 

Call: glm(formula = G ~ liquidity.ratio + growth.ratio + profitability.ratio +
 gearing.ratio + asset.utilization.ratio, family = binomial(link =
 logit), data = "" na.action = "" control = list(
 epsilon = 0.0001, maxit = 50, trace = F))
Deviance Residuals:
            Min             1Q        Median            3Q           Max
 -0.00002617806 -2.107342e-008 2.107342e-008 2.107342e-008 0.00002716231

Coefficients:
                             Value Std. Error       t value
            (Intercept) -218.07871  183538.72 -0.0011881891
        liquidity.ratio  131.33147  188097.16  0.0006982108
           growth.ratio   83.12380  691627.76  0.0001201857
    profitability.ratio  115.20985  137767.77  0.0008362613
          gearing.ratio   71.24530   69201.47  0.0010295344
asset.utilization.ratio   99.99108   96648.81  0.0010345816

(Dispersion Parameter for Binomial family taken to be 1 )

    Null Deviance: 68.99438 on 49 degrees of freedom

Residual Deviance: 0 on 44 degrees of freedom

Number of Fisher Scoring Iterations: 26

---

We won't tell. Get more on shows you hate to love
(and love to hate): Yahoo! TV's Guilty Pleasures list.