Linear Regression Model
Y ~ X
coefficients:
	Estimate	Std. Error	t value	Pr(>|t|)
(Intercept)	8.844	1.199	7.378	0
X	0.159	0.108	1.47	0.143
- - -
Residual Std. Err.	2.663 on 167 df
Multiple R-sq.	0.013
95% CI Multiple R-sq.	[0, 0.105]
Adjusted R-sq.	0.007

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
EP	1	15.32	15.32	2.161	0.143
Residuals	167	1183.852	7.089