[R] Interpreting the Results of GLM

[sazzle]

Hi, I'm wondering if you can help me, this is a really simple query but I
keep getting confused.  I have run a GLM to see how boldness varies over
time following a particular treatment.  The results are as follows... 

Call: glm(formula = boldtwentyfour ~ treatment + boldcontrol)
Deviance Residuals: 
    Min       1Q   Median       3Q      Max  
-1.7577  -0.5469   0.0456   0.5515   1.5327  
Coefficients:  Estimate Std. Error t value Pr(>|t|)  
(Intercept)    0.8312     0.5444   1.527   0.1363  
treatmentPBS   0.1391     0.2842   0.490   0.6277  
boldcontrol    0.4899     0.2157   2.271   0.0298 *
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 
(Dispersion parameter for gaussian family taken to be 0.7131691)
Null deviance: 27.243  on 35  degrees of freedom
Residual deviance: 23.535  on 33  degrees of freedom
AIC: 94.862  Number of Fisher Scoring iterations: 2

Basically, where I am having trouble is that I have several GLMs like this
and need to display the results in a table and am required to display the
intercept, estimates, 95% confidence and the errors.  I am confused as to
which values are which as for the intercept there are four different values
which all seem to relate to everything else I need to report, while
everything else would go unreported.  From this table of output from R can
you help me to identify which value is which? 
Thanks, 
Sarah.


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