Linear Regression Model
Y ~ X
coefficients:
	Estimate	Std. Error	t value	Pr(>|t|)
(Intercept)	-45.207	22.808	-1.982	0.056
X	13.968	4.646	3.006	0.005
- - -
Residual Std. Err.	73.266 on 31 df
Multiple R-sq.	0.226
Adjusted R-sq.	0.201

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
X	1	48509.939	48509.939	9.037	0.005
Residuals	31	166403.698	5367.861