Linear Regression Model
Y ~ X
coefficients:
	Estimate	Std. Error	t value	Pr(>|t|)
(Intercept)	-3.619	3.49	-1.037	0.308
X	0.995	0.035	28.597	0
- - -
Residual Std. Err.	2.831 on 31 df
Multiple R-sq.	0.963
Adjusted R-sq.	0.962

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
X	1	6555.976	6555.976	817.805	0
Residuals	31	248.513	8.017