Linear Regression Model
Y ~ X
coefficients:
	Estimate	Std. Error	t value	Pr(>|t|)
(Intercept)	194.44	23.498	8.275	0
X	2.47	0.041	60.098	0
- - -
Residual Std. Err.	200.089 on 287 df
Multiple R-sq.	0.926
Adjusted R-sq.	0.926

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
compendium_views_info	1	144601420.19	144601420.19	3611.823	0
Residuals	287	11490211.824	40035.581