Linear Regression Model
Y ~ X
coefficients:
	Estimate	Std. Error	t value	Pr(>|t|)
(Intercept)	36.989	2.241	16.505	0
X	0.442	0.145	3.038	0.005
- - -
Residual Std. Err.	11.849 on 28 df
Multiple R-sq.	0.248
Adjusted R-sq.	0.221

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
RAD	1	1296.095	1296.095	9.231	0.005
Residuals	28	3931.271	140.403