Linear Regression Model
Y ~ X
coefficients:
	Estimate	Std. Error	t value	Pr(>|t|)
(Intercept)	1.794	1.735	1.034	0.304
X	0.969	0.022	43.289	0
- - -
Residual Std. Err.	2.475 on 80 df
Multiple R-sq.	0.959
Adjusted R-sq.	0.959

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
rptwt	1	11479.862	11479.862	1873.922	0
Residuals	80	490.089	6.126