if cross-correlation is the proper statistic here or whether I need to use some other sort of design?
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The calculation will yield a plot that demonstrates when there is a causality amongst The 2 inputs, X and Y, and at what lags it is significant.
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Physiology was measured fifteen instances for every next, the visual characteristic was measured one time for every next. I believe I really need to utilize a cross-correlation and I found a perform for it in SPSS (I am only capable to work with SPSS And that i don't have any qualifications in mathematics). As I'm comprehensive novice in time-collection Evaluation, I wish to know:
Hope that helps. I'm fearful I don't work in SPSS so I can not help you there (I perform in R myself). If you will find a means to suit ARMA versions in SPSS and acquire the residuals, you need to be in a position to use the cross-correlation perform over the residuals for your statistic.
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