Linear Regression Model
Y ~ X
coefficients:
	Estimate	Std. Error	t value	Pr(>|t|)
(Intercept)	3.317	0.502	6.602	0
X	0.196	0.118	1.661	0.1
- - -
Residual Std. Err.	0.697 on 96 df
Multiple R-sq.	0.028
95% CI Multiple R-sq.	[0, 0.141]
Adjusted R-sq.	0.018

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
TVDC3	1	1.341	1.341	2.759	0.1
Residuals	96	46.659	0.486