Linear Regression Model
Y ~ X
coefficients:
	Estimate	Std. Error	t value	Pr(>|t|)
(Intercept)	8.142	0.733	11.105	0
X	-0.843	0.153	-5.516	0
- - -
Residual Std. Err.	1.371 on 13 df
Multiple R-sq.	0.701
95% CI Multiple R-sq.	[0.38, 0.874]
Adjusted R-sq.	0.678

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
geel	1	57.175	57.175	30.43	0
Residuals	13	24.425	1.879