Linear Regression Model
Y ~ X
coefficients:
	Estimate	Std. Error	t value	Pr(>|t|)
(Intercept)	118.473	6.48	18.284	0
X	0.181	0.03	6.081	0
- - -
Residual Std. Err.	38.015 on 193 df
Multiple R-sq.	0.161
Adjusted R-sq.	0.156

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
MDVP:Fhi(Hz)	1	53437.914	53437.914	36.978	0
Residuals	193	278910.754	1445.133