Linear Regression Model
Y ~ X
coefficients:
	Estimate	Std. Error	t value	Pr(>|t|)
(Intercept)	2.847	0.808	3.523	0.001
X	0.957	0.012	79.472	0
- - -
Residual Std. Err.	2.235 on 179 df
Multiple R-sq.	0.972
Adjusted R-sq.	0.972

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
reptweight	1	31549.709	31549.709	6315.723	0
Residuals	179	894.181	4.995