Linear Regression Model
Y ~ X
coefficients:
	Estimate	Std. Error	t value	Pr(>|t|)
(Intercept)	13.115	0.608	21.581	0
X	0	0.05	0.007	0.995
- - -
Residual Std. Err.	4.992 on 167 df
Multiple R-sq.	0
95% CI Multiple R-sq.	[0, 0]
Adjusted R-sq.	-0.006

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
TVDCSUM	1	0.001	0.001	0	0.995
Residuals	167	4161.632	24.92