Linear Regression Model
Y ~ X
coefficients:
	Estimate	Std. Error	t value	Pr(>|t|)
(Intercept)	-36.545	21.648	-1.688	0.101
X	12.775	4.525	2.823	0.008
- - -
Residual Std. Err.	72.863 on 33 df
Multiple R-sq.	0.195
Adjusted R-sq.	0.17

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
X	1	42308.933	42308.933	7.969	0.008
Residuals	33	175196.21	5308.976