Linear Regression Model
Y ~ X
coefficients:
	Estimate	Std. Error	t value	Pr(>|t|)
(Intercept)	311.441	43.461	7.166	0
X	-0.001	0	-3.526	0.002
- - -
Residual Std. Err.	5.889 on 22 df
Multiple R-sq.	0.361
95% CI Multiple R-sq.	[0.054, 0.671]
Adjusted R-sq.	0.332

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
Quantity	1	431.013	431.013	12.429	0.002
Residuals	22	762.892	34.677