Linear Regression Model
Y ~ X
coefficients:
	Estimate	Std. Error	t value	Pr(>|t|)
(Intercept)	-0.51	34.329	-0.015	0.989
X	1.68	11.456	0.147	0.889
- - -
Residual Std. Err.	45.16 on 5 df
Multiple R-sq.	0.004
Adjusted R-sq.	-0.195

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
X	1	43.836	43.836	0.021	0.889
Residuals	5	10197.021	2039.404