Linear Regression Model
Y ~ X
coefficients:
	Estimate	Std. Error	t value	Pr(>|t|)
(Intercept)	37.214	2.049	18.166	0
X	0.465	0.128	3.627	0.001
- - -
Residual Std. Err.	11.219 on 32 df
Multiple R-sq.	0.291
Adjusted R-sq.	0.269

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
RAD	1	1656.118	1656.118	13.157	0.001
Residuals	32	4028	125.875