[R] logit model interpretation

[Petr Klasterecky]

Hi,

this is a standard (logistic) regerssion output and the meaning of 
coefficients and other terms is described in standard textbooks. Applied 
linear statistical models by Neter, Kutner, Nachtsheim & Wassermann is a 
good start to regression in general, (An introduction to) Categorical 
data analysis by Agresti are excellent monographs that cover logistic 
regression as well.

Petr


violeta834 napsal(a):
> Hello everyone
> 
> I appologize for my lack of experience in statistical methods. I am an R
> user begginer and I am running a logit model using "zelig"  and "pcse"
> packages. I will go to the point and is that Im having problems with
> interpreting the results of my models.. It is really simple (I guess for the
> most advanced scholars) however I really dont understand how to interpret
> the coefficients.
> 
> here is my output
> 
> Call:
> zelig(formula = newtrst ~ stfdem + stfgov + clsprty, model = "logit", 
>     data = spadat)
> 
> Deviance Residuals: 
>    Min      1Q  Median      3Q     Max  
> -2.784   0.318   0.410   0.540   1.460  
> 
> Coefficients:
>             Estimate Std. Error z value Pr(>|z|)    
> (Intercept)  -0.6434     0.2427   -2.65    0.008 ** 
> stfdem        0.2447     0.0441    5.55  2.8e-08 ***
> stfgov        0.2050     0.0468    4.38  1.2e-05 ***
> clsprty       0.4173     0.1649    2.53    0.011 *  
> ---
> Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 
> 
> (Dispersion parameter for binomial family taken to be 1)
> 
>     Null deviance: 1112.46  on 1427  degrees of freedom
> Residual deviance:  996.02  on 1424  degrees of freedom
> AIC: 1004
> 
> Number of Fisher Scoring iterations: 5
> 
> 
> Thanks
> 
> Vioelta
> 
> 

-- 
Petr Klasterecky
Dept. of Probability and Statistics
Charles University in Prague
Czech Republic