Linear Regression Model
Y ~ X
coefficients:
	Estimate	Std. Error	t value	Pr(>|t|)
(Intercept)	-2.13	0.368	-5.789	0
X	0.163	0.008	21.686	0
- - -
Residual Std. Err.	1.671 on 82 df
Multiple R-sq.	0.852
95% CI Multiple R-sq.	[0.82, 0.877]
Adjusted R-sq.	0.85

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
t	1	1312.888	1312.888	470.277	0
Residuals	82	228.922	2.792