Linear Regression Model
Y ~ X
coefficients:
	Estimate	Std. Error	t value	Pr(>|t|)
(Intercept)	6.775	11.144	0.608	0.544
X	0.969	0.066	14.683	0
- - -
Residual Std. Err.	8.316 on 179 df
Multiple R-sq.	0.546
Adjusted R-sq.	0.544

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
reportedheight	1	14907.979	14907.979	215.592	0
Residuals	179	12377.69	69.149