Linear Regression Model
Y ~ X
coefficients:
	Estimate	Std. Error	t value	Pr(>|t|)
(Intercept)	8.712	0.715	12.184	0
X	0.356	0.066	5.434	0
- - -
Residual Std. Err.	2.269 on 167 df
Multiple R-sq.	0.15
95% CI Multiple R-sq.	[0.05, 0.372]
Adjusted R-sq.	0.145

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
TVDC	1	152.067	152.067	29.525	0
Residuals	167	860.111	5.15