Linear Regression Model
Y ~ X
coefficients:
	Estimate	Std. Error	t value	Pr(>|t|)
(Intercept)	-17.615	10.912	-1.614	0.13
X	0.473	0.276	1.711	0.111
- - -
Residual Std. Err.	14.211 on 13 df
Multiple R-sq.	0.184
Adjusted R-sq.	0.121

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
BPVT	1	591.27	591.27	2.928	0.111
Residuals	13	2625.318	201.948