Linear Regression Model
Y ~ X
coefficients:
	Estimate	Std. Error	t value	Pr(>|t|)
(Intercept)	-138.495	137.114	-1.01	0.32
X	3.126	1.434	2.18	0.036
- - -
Residual Std. Err.	120.141 on 33 df
Multiple R-sq.	0.126
Adjusted R-sq.	0.099

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
x	1	68607.632	68607.632	4.753	0.036
Residuals	33	476318.654	14433.899