Linear Regression Model
Y ~ X
coefficients:
	Estimate	Std. Error	t value	Pr(>|t|)
(Intercept)	106.213	118.186	0.899	0.383
X	0.275	1.146	0.24	0.814
- - -
Residual Std. Err.	24.304 on 15 df
Multiple R-sq.	0.004
Adjusted R-sq.	-0.063

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
Inc	1	33.936	33.936	0.057	0.814
Residuals	15	8860.314	590.688