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Thread: Interpretation of a certain observation

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    Interpretation of a certain observation




    I have some identities that are distributed in a 2D space. Each identity has the properties X, Y, latitude, and longitude. Each dataset on average has 75 of these identities. For a particular dataset, when I plot X as a function of Y, I get no correlation. When I group the identities (say into 10 groups) based on their spatial proximity (using latitude and longitude data) and plot average X and Y for all groups, I get a strong positive correlation.

    Why do I see such behavior? Is this a well-known property of datasets? How can I justify this from a statistical point of view in my research paper? Are there any other problems that show similar behavior to which I can refer?
    Last edited by alijamali; 01-13-2017 at 03:17 PM. Reason: tagging

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    Re: Interpretation of a certain observation

    Hmmm, I bet a graphics demonstrating the plots of Xs and Ys would be beneficial. You could even color code the groups and upload the image for us to see. A little more info is need, could Simpson's Paradox come into play?
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    Re: Interpretation of a certain observation


    An intriguing question. How about an example in an Excel spreadsheet for us to look at.

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