Linear Regression Model
Y ~ X
coefficients:
	Estimate	Std. Error	t value	Pr(>|t|)
(Intercept)	30.902	0.779	39.679	0
X	0.335	0.01	33.363	0
- - -
Residual Std. Err.	1.111 on 80 df
Multiple R-sq.	0.933
Adjusted R-sq.	0.932

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
Mrw	1	1373.482	1373.482	1113.107	0
Residuals	80	98.713	1.234