Linear Regression Model
Y ~ X
coefficients:
	Estimate	Std. Error	t value	Pr(>|t|)
(Intercept)	2.916	0.503	5.792	0
X	0.136	0.119	1.144	0.254
- - -
Residual Std. Err.	0.966 on 163 df
Multiple R-sq.	0.008
95% CI Multiple R-sq.	[0, 0.053]
Adjusted R-sq.	0.002

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
TVDC3	1	1.22	1.22	1.308	0.254
Residuals	163	151.992	0.932