Linear Regression Model
Y ~ X
coefficients:
	Estimate	Std. Error	t value	Pr(>|t|)
(Intercept)	3.736	2.186	1.709	0.091
X	0.476	0.089	5.379	0
- - -
Residual Std. Err.	1.66 on 100 df
Multiple R-sq.	0.224
95% CI Multiple R-sq.	[0.085, 0.389]
Adjusted R-sq.	0.217

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
SKEOUSUM	1	79.75	79.75	28.938	0
Residuals	100	275.593	2.756