Linear Regression Model
Y ~ X
coefficients:
	Estimate	Std. Error	t value	Pr(>|t|)
(Intercept)	-58.153	34.76	-1.673	0.113
X	19.986	6.968	2.868	0.011
- - -
Residual Std. Err.	84.685 on 17 df
Multiple R-sq.	0.326
Adjusted R-sq.	0.287

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
X	1	59007.607	59007.607	8.228	0.011
Residuals	17	121917.129	7171.596