Linear Regression Model
Y ~ X
coefficients:
	Estimate	Std. Error	t value	Pr(>|t|)
(Intercept)	7199.171	3112.005	2.313	0.021
X	0.366	0.019	18.919	0
- - -
Residual Std. Err.	26992.778 on 286 df
Multiple R-sq.	0.556
Adjusted R-sq.	0.554

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
Timerfc	1	260789168190.575	260789168190.575	357.927	0
Residuals	286	208382472419.077	728610043.423