Linear Regression Model
Y ~ X
coefficients:
	Estimate	Std. Error	t value	Pr(>|t|)
(Intercept)	0.853	0.065	13.059	0
X	-0.008	0.001	-11.261	0
- - -
Residual Std. Err.	0.061 on 43 df
Multiple R-sq.	0.747
Adjusted R-sq.	0.741

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
Pov	1	0.472	0.472	126.82	0
Residuals	43	0.16	0.004