Linear Regression Model
Y ~ X
coefficients:
	Estimate	Std. Error	t value	Pr(>|t|)
(Intercept)	13.665	1.081	12.645	0
X	-0.406	0.242	-1.68	0.096
- - -
Residual Std. Err.	1.49 on 96 df
Multiple R-sq.	0.029
95% CI Multiple R-sq.	[0, 0.141]
Adjusted R-sq.	0.018

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
IK3	1	6.264	6.264	2.823	0.096
Residuals	96	213.011	2.219