Linear Regression Model
Y ~ X
coefficients:
	Estimate	Std. Error	t value	Pr(>|t|)
(Intercept)	-2.285	1.26	-1.813	0.078
X	3.648	0.804	4.539	0
- - -
Residual Std. Err.	2.443 on 35 df
Multiple R-sq.	0.371
Adjusted R-sq.	0.353

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
Treatment	1	123.005	123.005	20.603	0
Residuals	35	208.962	5.97