Linear Regression Model
Y ~ X
coefficients:
	Estimate	Std. Error	t value	Pr(>|t|)
(Intercept)	-0.67	4.483	-0.149	0.882
X	0.013	0.051	0.258	0.798
- - -
Residual Std. Err.	26.5 on 33 df
Multiple R-sq.	0.002
Adjusted R-sq.	-0.028

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
X	1	46.904	46.904	0.067	0.798
Residuals	33	23175.057	702.274