Linear Regression Model
Y ~ X
coefficients:
	Estimate	Std. Error	t value	Pr(>|t|)
(Intercept)	160.093	3.747	42.728	0
X	0.151	0.056	2.718	0.007
- - -
Residual Std. Err.	11.82 on 198 df
Multiple R-sq.	0.036
Adjusted R-sq.	0.031

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
weight	1	1032.034	1032.034	7.387	0.007
Residuals	198	27661.886	139.706