if cross-correlation is the right statistic listed here or regardless of whether I should use some other style of product?
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The calculation will generate a plot that displays if there is a causality amongst The 2 inputs, X and Y, and at what lags it is critical.
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Physiology was measured 15 occasions per next, the Visible aspect was measured one time for each 2nd. I think that I have to make use of a cross-correlation and I discovered a function for it in SPSS (I'm only able to operate with SPSS And that i have no qualifications in arithmetic). As I am comprehensive rookie in time-sequence Investigation, I wish to know:
Hope that helps. I'm concerned I don't work in SPSS so I can't help you there (I perform in R myself). If you can find a method to match ARMA products in SPSS and obtain the residuals, you need to be able to make use of the cross-correlation functionality about the residuals for your statistic.
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You need to Verify these as part of your data just before proceeding; there are numerous transformations you are able to do towards your data to aid make them a lot more typical if necessary (including Box-Cox).
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