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Just a note
If we collapse these measurement variables to binary variables, we would get the following contingency table:
The risk ratio for the association of weight with height would then be 3/5 divided by 1/5 which gives 3.0. Since this ratio is larger than one it suggests there is a positive association between height and weight  it does not, however, suggest that weight causes height. The following code produces a scatterplot using R.
