Linear Regression Model
Y ~ X
coefficients:
	Estimate	Std. Error	t value	Pr(>|t|)
(Intercept)	1.928	1.729	1.115	0.267
X	0.975	0.03	32.191	0
- - -
Residual Std. Err.	2.025 on 97 df
Multiple R-sq.	0.914
Adjusted R-sq.	0.914

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
rptwt	1	4251.407	4251.407	1036.285	0
Residuals	97	397.947	4.103