Linear Regression Model
Y ~ X
coefficients:
	Estimate	Std. Error	t value	Pr(>|t|)
(Intercept)	33283.155	10029.59	3.318	0.003
X	2565.741	681.582	3.764	0.001
- - -
Residual Std. Err.	18213.78 on 26 df
Multiple R-sq.	0.353
Adjusted R-sq.	0.328

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
Compendiums_reviewed	1	4700985545.572	4700985545.572	14.171	0.001
Residuals	26	8625286784.856	331741799.418