# Determine the subsets of data that are the most correlated with y-data

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Adib Yusof on 23 Aug 2019
Commented: Adam Danz on 23 Aug 2019
I have a pair of X-Y data containing 20 datapoints. Each datapoints correspond to a group, there are 8 groups, so, let say, X1 - X3 (together with Y1 - Y3) belongs to Group 1, and so on. The number of datapoints in each group is not necessarily the same. I found that for datapoints from, let say, Group 3 are very correlated between its X's and its Y's; but it's not good enough because I want to show that if I combine datapoints from multiple groups (let say Group 1, 3 and 7), I still can have high correlation. I dont think it's efficient to do this manually since I have to test 2^8=256 combinations. Is there any MATLAB function that do this automatically, or is there any math method to solve this automatically? Thank you.
Adam Danz on 23 Aug 2019
256 is a very manageable and relativly small number. Why not just compute all possible correlations in a loop (or loops)?

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