Linear Regression Model
Y ~ X
coefficients:
	Estimate	Std. Error	t value	Pr(>|t|)
(Intercept)	-41.792	21.464	-1.947	0.06
X	12.513	4.487	2.789	0.009
- - -
Residual Std. Err.	72.241 on 33 df
Multiple R-sq.	0.191
Adjusted R-sq.	0.166

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
Weight	1	40593.233	40593.233	7.778	0.009
Residuals	33	172221.489	5218.833