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Lecture 10: Logistical Regression II— Multinomial Data

Lecture 10: Logistical Regression II— Multinomial Data

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Logit vs. Probit Review Use with a dichotomous dependent variable Need a link function F(Y) going from the original Y to continuous Y′ Probit: F(Y) = Φ-1(Y) Logit: F(Y) = log[Y/(1-Y)] Do the regression and transform the findings back from Y′to Y, interpreted as a probability

  Logit, Probit

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