> summary(mydata)
      Won              Club          Healthcare         Other
 Min.   :0.0000   Min.   :0.0000   Min.   :0.0000   Min.   :0.00000
 1st Qu.:0.0000   1st Qu.:0.0000   1st Qu.:0.0000   1st Qu.:0.00000
 Median :0.0000   Median :0.0000   Median :0.0000   Median :0.00000
 Mean   :0.2731   Mean   :0.1101   Mean   :0.1359   Mean   :0.09723
 3rd Qu.:1.0000   3rd Qu.:0.0000   3rd Qu.:0.0000   3rd Qu.:0.00000
 Max.   :1.0000   Max.   :1.0000   Max.   :1.0000   Max.   :1.00000
   Government
 Min.   :0.0000
 1st Qu.:0.0000
 Median :1.0000
 Mean   :0.6567
 3rd Qu.:1.0000
 Max.   :1.0000

> str(mydata)
'data.frame':   7981 obs. of  5 variables:
 $ Won       : int  1 0 0 0 0 0 0 0 0 0 ...
 $ Club      : int  0 0 0 0 0 0 1 1 0 0 ...
 $ Healthcare: int  0 0 0 0 0 0 0 0 0 0 ...
 $ Other     : int  0 0 0 0 0 0 0 0 0 0 ...
 $ Government: int  1 1 1 1 1 1 0 0 1 1 ...

> glm.out = glm(w ~ c+h+o, family=binomial(logit), data=mydata)
> summary(glm.out)

Call:
glm(formula = w ~ c + h + o, family = binomial(logit), data = mydata)

Deviance Residuals:
    Min       1Q   Median       3Q      Max
-1.1649  -0.7063  -0.7063   1.1900   1.7382

Coefficients:
            Estimate Std. Error z value Pr(>|z|)
(Intercept) -0.02958    0.06747  -0.438    0.661
c           -0.79804    0.09437  -8.456  < 2e-16 ***
h           -0.65584    0.10166  -6.451 1.11e-10 ***
o           -1.23167    0.07524 -16.370  < 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: 9359.6  on 7980  degrees of freedom
Residual deviance: 9074.3  on 7977  degrees of freedom
AIC: 9082.3

Number of Fisher Scoring iterations: 4

> anova(glm.out, test="Chisq")
Analysis of Deviance Table

Model: binomial, link: logit

Response: w

Terms added sequentially (first to last)


     Df Deviance Resid. Df Resid. Dev  Pr(>Chi)
NULL                  7980     9359.6
c     1    5.965      7979     9353.6   0.01459 *
h     1   19.076      7978     9334.5 1.256e-05 ***
o     1  260.238      7977     9074.3 < 2.2e-16 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1