Linear Regression Model
Y ~ X
coefficients:
	Estimate	Std. Error	t value	Pr(>|t|)
(Intercept)	27.913	27.062	1.031	0.314
X	0.311	0.171	1.82	0.082
- - -
Residual Std. Err.	5.902 on 22 df
Multiple R-sq.	0.131
95% CI Multiple R-sq.	[0.013, 0.355]
Adjusted R-sq.	0.091

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
Price	1	115.4	115.4	3.313	0.082
Residuals	22	766.34	34.834