\begin{Schunk}
\begin{Soutput}
Call:
lm(formula = y ~ xnum1 + xcat2 + z, data = dat)

Residuals:
     Min       1Q   Median       3Q      Max 
-1.77519 -0.54207  0.04199  0.53220  1.83903 

Coefficients:
             Estimate Std. Error t value Pr(>|t|)    
(Intercept) -0.052043   0.174434  -0.298    0.766    
xnum1        0.499466   0.087440   5.712  1.3e-07 ***
xcat2Male    0.006291   0.166862   0.038    0.970    
zB           0.289755   0.240265   1.206    0.231    
zC           0.432044   0.249772   1.730    0.087 .  
zD          -0.228432   0.207446  -1.101    0.274    
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Residual standard error: 0.8086 on 94 degrees of freedom
Multiple R-squared:  0.3002,	Adjusted R-squared:  0.263 
F-statistic: 8.065 on 5 and 94 DF,  p-value: 2.306e-06
\end{Soutput}
\end{Schunk}
