Linear Regression Model
Y ~ X
coefficients:
	Estimate	Std. Error	t value	Pr(>|t|)
(Intercept)	-18.46	7.394	-2.497	0.02
X	0.56	0.203	2.766	0.011
- - -
Residual Std. Err.	10.018 on 24 df
Multiple R-sq.	0.242
Adjusted R-sq.	0.21

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
BPVT	1	767.936	767.936	7.652	0.011
Residuals	24	2408.496	100.354