Hey everyone,
i have a question about the results I get when I do a cross correlation of two white noise time series with SPSS 21.0. Why do I get two different results depending on how much variables I insert in the window for the cross correlation?
For example: If I insert the variables A,B,C,D,E,F in the window for cross correlation, SPSS shows me a significant cross correlation between A and B. But if I insert only the variables A,B,C, the cross correlation between A and B is no longer significant. Is SPSS controlling for the other variables I insert?
Thanks in advance!
i have a question about the results I get when I do a cross correlation of two white noise time series with SPSS 21.0. Why do I get two different results depending on how much variables I insert in the window for the cross correlation?
For example: If I insert the variables A,B,C,D,E,F in the window for cross correlation, SPSS shows me a significant cross correlation between A and B. But if I insert only the variables A,B,C, the cross correlation between A and B is no longer significant. Is SPSS controlling for the other variables I insert?
Thanks in advance!
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