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Just a note

If we collapse these measurement variables to binary variables, we would get the following contingency table:
WeightHeight 
 Short
(<9 cm)
Tall
(>9cm)
Total
Light
(<36g)
3(a)2 (b)5
Heavy
(>36g)
1 (c)4 (d)5
Totals4610

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.