Linear Regression Model
Y ~ X
coefficients:
	Estimate	Std. Error	t value	Pr(>|t|)
(Intercept)	0.767	0.016	48.541	0
X	-0.015	0.005	-3.12	0.002
- - -
Residual Std. Err.	0.056 on 654 df
Multiple R-sq.	0.015
95% CI Multiple R-sq.	[0.001, 0.058]
Adjusted R-sq.	0.013

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
Rating	1	0.03	0.03	9.733	0.002
Residuals	654	2.033	0.003