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# Spermans rank watch

1. If I was calculating spearman's ranks could I did it from data that have different variables. for example the force applied to a spring and the extension of the spring? so force would be the x value and extension would be the y value.
2. (Original post by dont)
If I was calculating spearman's ranks could I did it from data that have different variables. for example the force applied to a spring and the extension of the spring? so force would be the x value and extension would be the y value.
You can if you wish. Spearman's rank correlation coefficient simply measures how well the relationship between two variables can be described by a monotonic function. The coefficient takes on the value +1 or -1 if the relationship is perfectly monotone.

However, the example you give is probably not a good one: there would have to be an awful lot of "noise" in the spring system for the relationship between force and extension to not be perfectly monotone!

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