Linear Regression Model
Y ~ X
coefficients:
	Estimate	Std. Error	t value	Pr(>|t|)
(Intercept)	0.923	0.396	2.329	0.027
X	-2.047	1.439	-1.422	0.166
- - -
Residual Std. Err.	0.065 on 28 df
Multiple R-sq.	0.067
95% CI Multiple R-sq.	[0, 0.368]
Adjusted R-sq.	0.034

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
price	1	0.008	0.008	2.023	0.166
Residuals	28	0.117	0.004