Linear Regression Model
Y ~ X
coefficients:
	Estimate	Std. Error	t value	Pr(>|t|)
(Intercept)	11.417	1.303	8.764	0
X	0.515	0.02	25.295	0
- - -
Residual Std. Err.	12.75 on 287 df
Multiple R-sq.	0.69
Adjusted R-sq.	0.689

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
blogged_computations	1	104008.831	104008.831	639.843	0
Residuals	287	46652.897	162.554