Linear Regression Model
Y ~ X
coefficients:
	Estimate	Std. Error	t value	Pr(>|t|)
(Intercept)	5.461	3.058	1.786	0.076
X	0.926	0.046	20.333	0
- - -
Residual Std. Err.	8.456 on 179 df
Multiple R-sq.	0.698
Adjusted R-sq.	0.696

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
repwt	1	29562.639	29562.639	413.426	0
Residuals	179	12799.649	71.506