Linear Regression Model
Y ~ X
coefficients:
	Estimate	Std. Error	t value	Pr(>|t|)
(Intercept)	0	0.023	0	1
X	0.267	0.043	6.255	0
- - -
Residual Std. Err.	0.241 on 152 df
Multiple R-sq.	0.205
Adjusted R-sq.	0.199

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
Used	1	2.265	2.265	39.122	0
Residuals	152	8.8	0.058