Multinomial logistic regression, Part 2: Multiple multinomial regression

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  • Опубликовано: 15 янв 2025

Комментарии • 8

  • @ricardoortega3266
    @ricardoortega3266 3 года назад

    Excellent thank you, greetings from México.

  • @mdahsanul
    @mdahsanul Год назад +1

    9:54 it will be 3% higher odds, not 0.3%. Excellent explanation though. Thank you!

  • @alessandrorosati969
    @alessandrorosati969 Год назад

    If i have teo categories for dependent variable i can use multinomial logistic regression?

    • @adekunlerukayat7136
      @adekunlerukayat7136 9 месяцев назад +1

      I think you will have to use binary logistic regression

  • @shwetabijla
    @shwetabijla 2 года назад

    how to find predictive prob for age? and interpretation

  • @supradg
    @supradg 2 года назад

    What would you do if you have to calculate the predicted probability of employment for a female, married and aged 25-44 years for example? Your baseline category is male so I guess if its female you would add that coefficient to the numerator for the last three equations?

  • @ЛюдмилаКшнясева-я5ш

    1) What's about overdispersion? 2) ... age - continious var?

  • @ibrahimtwahirkilagwa653
    @ibrahimtwahirkilagwa653 23 дня назад

    24th December 2024..