Linear Regression Model
Y ~ X
coefficients:
	Estimate	Std. Error	t value	Pr(>|t|)
(Intercept)	14.818	0.863	17.167	0
X	-1.062	0.891	-1.192	0.235
- - -
Residual Std. Err.	2.863 on 177 df
Multiple R-sq.	0.008
95% CI Multiple R-sq.	[0, 0.042]
Adjusted R-sq.	0.002

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
excelC	1	11.649	11.649	1.421	0.235
Residuals	177	1450.63	8.196