Linear Regression Model
Y ~ X
coefficients:
	Estimate	Std. Error	t value	Pr(>|t|)
(Intercept)	23.264	31.97	0.728	0.472
X	-5.26	6.683	-0.787	0.437
- - -
Residual Std. Err.	107.604 on 33 df
Multiple R-sq.	0.018
Adjusted R-sq.	-0.011

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
X	1	7171.851	7171.851	0.619	0.437
Residuals	33	382092.72	11578.567