\begin{Schunk}
\begin{Sinput}
 bushideoglm1 <- glm(bushvote ~ ideoln, family=binomial, data=nes2002) 
 summary(bushideoglm1)
\end{Sinput}
\begin{Soutput}
Call:
glm(formula = bushvote ~ ideoln, family = binomial, data = nes2002)

Deviance Residuals: 
    Min       1Q   Median       3Q      Max  
-2.3568  -0.7596   0.5632   0.8583   2.4691  

Coefficients:
            Estimate Std. Error z value Pr(>|z|)    
(Intercept) -3.95168    0.31728  -12.46   <2e-16 ***
ideoln       0.95209    0.07001   13.60   <2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

(Dispersion parameter for binomial family taken to be 1)

    Null deviance: 1110.80  on 808  degrees of freedom
Residual deviance:  833.91  on 807  degrees of freedom
  (702 observations deleted due to missingness)
AIC: 837.91

Number of Fisher Scoring iterations: 4
\end{Soutput}
\end{Schunk}
