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    How to detect a time deferred cause and effect

    The spending occurs every day in different intensity. The phenomenon should be (in theory) ongoing. Revenue is believed to increase by x% 3-7 days after the spending increasesd about y %. There is not control group unfortunately.
  2. A

    How to detect a time deferred cause and effect

    Hey guys, I am looking at a fairly easy problem (I think). I have to columns of data, marketing spent and revenue. I have the feeling that when marketing spent goes up revenue increases about 5 to 10 days later. The graphs support my view I feel. What statistical analysis could I use to a)...