Linear Regression Model
Y ~ X
coefficients:
	Estimate	Std. Error	t value	Pr(>|t|)
(Intercept)	303512.379	23413.496	12.963	0
X	-521.013	147.783	-3.526	0.002
- - -
Residual Std. Err.	5106.32 on 22 df
Multiple R-sq.	0.361
95% CI Multiple R-sq.	[0.056, 0.679]
Adjusted R-sq.	0.332

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
Price	1	324090652.59	324090652.59	12.429	0.002
Residuals	22	573639127.244	26074505.784