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  1. M

    Covariance: The result holds even when changing one of the means for any constant

    Perfect! But if you scale also the random variable Y it doesn't cancels out. You just can scale only one of the means. (proof attached) Thanks a lot!!!
  2. M

    Covariance: The result holds even when changing one of the means for any constant

    One of my students ran into a curious "property" of the covariance, and I checked it, but I really don't know what is the reason for it. I don't think this has a real world application, but I would like to know the reason anyway. When we calculate the covariance of two variables X and Y, we can...