Linear Regression Model
Y ~ X
coefficients:
	Estimate	Std. Error	t value	Pr(>|t|)
(Intercept)	-47.368	25.633	-1.848	0.076
X	14.534	5.061	2.872	0.008
- - -
Residual Std. Err.	77.006 on 27 df
Multiple R-sq.	0.234
Adjusted R-sq.	0.206

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
X	1	48902.46	48902.46	8.247	0.008
Residuals	27	160107.333	5929.901