Linear Regression Model
Y ~ X - 1
coefficients:
	Estimate	Std. Error	t value	Pr(>|t|)
X	5.691	1.703	3.342	0.002
- - -
Residual Std. Err.	48.122 on 33 df
Multiple R-sq.	0.253
Adjusted R-sq.	0.23

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
dWt	1	25869.333	25869.333	11.171	0.002
Residuals	33	76417.667	2315.687