Linear Regression Model
Y ~ X
coefficients:
	Estimate	Std. Error	t value	Pr(>|t|)
(Intercept)	-39.04	22.457	-1.738	0.091
X	13.172	4.693	2.807	0.008
- - -
Residual Std. Err.	75.391 on 33 df
Multiple R-sq.	0.193
Adjusted R-sq.	0.168

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
X	1	44774.012	44774.012	7.878	0.008
Residuals	33	187564.274	5683.766