Linear Regression Model
Y ~ X
coefficients:
	Estimate	Std. Error	t value	Pr(>|t|)
(Intercept)	-33.43	22.512	-1.485	0.147
X	12.31	4.706	2.616	0.013
- - -
Residual Std. Err.	75.77 on 33 df
Multiple R-sq.	0.172
Adjusted R-sq.	0.147

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
X	1	39285.192	39285.192	6.843	0.013
Residuals	33	189456.808	5741.115