You mean non-linearity?
You can use a lack of fit test by using:
anova(lm(y ~ x+factor(x), data))
The F-value of factor(x) is the lack of fit test, and when lineair, the p
value should be <0.05 when using 0.95% significance.
Bart
Wensui Liu wrote:>
> in statistics, is there a measure for curvature? how to detect and
> quantify the curvature between 2 variales instead of using
> visualization?
> thank you so much!
>
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