exploratory data

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    Hypothesis testing on highly correlated data

    Hi, I have a dataset with x number of time series functions (shared x values) which are highly correlated (Spearman, between 0.8 and 0.99) most of the time. There are 3 hypothesis of mine which I am trying to either validate or reject, but I am not sure what approach would make the most sense...