Linear Regression Model
Y ~ X
coefficients:
	Estimate	Std. Error	t value	Pr(>|t|)
(Intercept)	-1.083	0.857	-1.263	0.208
X	1.016	0.013	79.472	0
- - -
Residual Std. Err.	2.303 on 179 df
Multiple R-sq.	0.972
Adjusted R-sq.	0.972

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
W	1	33499.96	33499.96	6315.723	0
Residuals	179	949.455	5.304