Linear Regression Model
Y ~ X
coefficients:
	Estimate	Std. Error	t value	Pr(>|t|)
(Intercept)	-15.657	24.636	-0.636	0.539
X	0.002	0.002	0.9	0.389
- - -
Residual Std. Err.	3.637 on 10 df
Multiple R-sq.	0.075
Adjusted R-sq.	-0.018

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
Aantalgeb2009	1	10.719	10.719	0.81	0.389
Residuals	10	132.281	13.228