Linear Regression Model
Y ~ X
coefficients:
	Estimate	Std. Error	t value	Pr(>|t|)
(Intercept)	-43.13	21.015	-2.052	0.048
X	13.904	4.388	3.168	0.003
- - -
Residual Std. Err.	71.424 on 33 df
Multiple R-sq.	0.233
Adjusted R-sq.	0.21

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
weight	1	51214.131	51214.131	10.039	0.003
Residuals	33	168348.041	5101.456