Linear Regression Model
Y ~ X
coefficients:
	Estimate	Std. Error	t value	Pr(>|t|)
(Intercept)	-7.173	2.229	-3.219	0.004
X	0.493	0.013	37.406	0
- - -
Residual Std. Err.	1.998 on 23 df
Multiple R-sq.	0.984
Adjusted R-sq.	0.983

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
yield	1	5587.512	5587.512	1399.196	0
Residuals	23	91.848	3.993