Linear Regression Model
Y ~ X
coefficients:
	Estimate	Std. Error	t value	Pr(>|t|)
(Intercept)	103.909	5.294	19.628	0
X	-0.094	0.099	-0.946	0.347
- - -
Residual Std. Err.	10.462 on 77 df
Multiple R-sq.	0.011
Adjusted R-sq.	-0.001

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
Add	1	98.008	98.008	0.895	0.347
Residuals	77	8427.941	109.454