Linear Regression Model
Y ~ X
coefficients:
	Estimate	Std. Error	t value	Pr(>|t|)
(Intercept)	-2.069	13.556	-0.153	0.88
X	5.585	2.924	1.91	0.066
- - -
Residual Std. Err.	41.84 on 30 df
Multiple R-sq.	0.108
Adjusted R-sq.	0.079

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
dWt	1	6384.074	6384.074	3.647	0.066
Residuals	30	52517.426	1750.581