Linear Regression Model
Y ~ X
coefficients:
	Estimate	Std. Error	t value	Pr(>|t|)
(Intercept)	-41.792	21.464	-1.947	0.06
X	13.513	4.487	3.012	0.005
- - -
Residual Std. Err.	72.241 on 33 df
Multiple R-sq.	0.216
Adjusted R-sq.	0.192

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
dWt	1	47340.683	47340.683	9.071	0.005
Residuals	33	172221.489	5218.833