Question
Suppose that you do a correlation analysis and learn that ice cream consumption
is significantly related to the number of shark attacks on humans. You realize that eating ice cream does not cause shark attacks, but instead that both ice cream consumption and shark attacks increase during summer months. In statistics, when it looks like one factor causes another, but in reality both are caused by a completely different variable, it is referred to as . (Hint: See Vickers)
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