\begin{Schunk}
\begin{Soutput}
Call:
lm(formula = y ~ x1 + x2, data = dat)

Residuals:
    Min      1Q  Median      3Q     Max 
-646.23 -179.72  -22.99  152.93  726.21 

Coefficients:
             Estimate Std. Error t value Pr(>|t|)    
(Intercept) -1464.760     92.051  -15.91   <2e-16 ***
x1             26.539      1.388   19.12   <2e-16 ***
x2             27.837      1.339   20.79   <2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Residual standard error: 259.4 on 397 degrees of freedom
Multiple R-squared:  0.6972,	Adjusted R-squared:  0.6957 
F-statistic:   457 on 2 and 397 DF,  p-value: < 2.2e-16
\end{Soutput}
\end{Schunk}
