Linear Regression Model
Y ~ X
coefficients:
	Estimate	Std. Error	t value	Pr(>|t|)
(Intercept)	165.55	7.741	21.387	0
X	1.842	0.097	18.984	0
- - -
Residual Std. Err.	34.651 on 358 df
Multiple R-sq.	0.502
Adjusted R-sq.	0.5

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
1	1	432728.838	432728.838	360.407	0
Residuals	358	429839.422	1200.669