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By aggregating data over a year, you might have destroyed a lot of information in the data. As @whuber said in a comment: Of course there is a correlation. Suppose, arguendo, that most people occasionally order some meals or some appetizers, with no correlation at all (or even with an inverse relation: sometimes all appetizers, sometimes all meals). ...


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