Linear Regression Model
Y ~ X
coefficients:
	Estimate	Std. Error	t value	Pr(>|t|)
(Intercept)	3.714	0.472	7.876	0
X	0.017	0.009	2.015	0.052
- - -
Residual Std. Err.	2.519 on 32 df
Multiple R-sq.	0.113
Adjusted R-sq.	0.085

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
dTg	1	25.762	25.762	4.059	0.052
Residuals	32	203.096	6.347