Linear Regression Model
Y ~ X
coefficients:
	Estimate	Std. Error	t value	Pr(>|t|)
(Intercept)	14.204	0.586	24.218	0
X	0.843	0.006	136.224	0
- - -
Residual Std. Err.	1.47 on 210 df
Multiple R-sq.	0.989
95% CI Multiple R-sq.	[0.985, 0.991]
Adjusted R-sq.	0.989

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
X9	1	40080.256	40080.256	18557.056	0
Residuals	210	453.566	2.16