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Correlation Analysis (Nominal Data)

  • Χ^2 (chi-square) test

\[ X^{2}=\sum \frac{(Observed-Expected)^2}{Expected} \]

  • The larger the Χ^2 value, the more likely the variables are related
  • The cells that contribute the most to the Χ2 value are those whose actual count is very different from the expected count
  • Correlation does not imply causality
    • # of hospitals and # of car-theft in a city are correlated
    • Both are causally linked to the third variable: population

Speaker notes:

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