Linear Regression Model
Y ~ X
coefficients:
	Estimate	Std. Error	t value	Pr(>|t|)
(Intercept)	2.442	2.537	0.963	0.338
X	6.696	0.894	7.494	0
- - -
Residual Std. Err.	16.071 on 117 df
Multiple R-sq.	0.324
Adjusted R-sq.	0.319

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
Hours	1	14504.143	14504.143	56.156	0
Residuals	117	30219.017	258.282