Linear Regression Model
Y ~ X
coefficients:
	Estimate	Std. Error	t value	Pr(>|t|)
(Intercept)	-43.044	21.935	-1.962	0.058
X	13.602	4.548	2.991	0.005
- - -
Residual Std. Err.	73.156 on 32 df
Multiple R-sq.	0.218
Adjusted R-sq.	0.194

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
dWt	1	47865.502	47865.502	8.944	0.005
Residuals	32	171258.616	5351.832