Linear Regression Model
Y ~ X
coefficients:
	Estimate	Std. Error	t value	Pr(>|t|)
(Intercept)	-41.954	21.895	-1.916	0.064
X	14.483	4.577	3.165	0.003
- - -
Residual Std. Err.	73.692 on 33 df
Multiple R-sq.	0.233
Adjusted R-sq.	0.21

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
X	1	54384.902	54384.902	10.015	0.003
Residuals	33	179206.07	5430.487