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Spurious Correlations
Strong correlational research requires trying to predict e
Spurious Correlations
Strong correlational research requires trying to predict extraneous variables or third variables that may provide an alternative explanation for the correlation. The third variable relates to both variables of interest.
For this discussion, visit the Spurious Correlationswebsite and develop a third variable that might plausibly explain the correlation. Your answer can be serious or silly, but make it at least somewhat plausible. Please include the reported correlation.
For example: “The high positive correlation between Maine’s divorce rate and per capita consumption of margarine (r=.99) may be due to money. If people have less money due to financial stress, they are more likely to buy margarine than butter (due to lower prices). Declining divorce and declining margarine consumption rates have the same root cause: increasing family income levels.” You can use any of the correlations (Vigen has graphed 30,000 or so) to choose from the other variables on which he has data. Report your correlation and a third variable, and describe how difficult or easy it was for you to come up with the third variable.
https://tylervigen.com/spurious-correlations
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