ANOVA Matrix Form Multiple Linear Regression

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  • Опубликовано: 2 окт 2024

Комментарии • 15

  • @albert_ma4021
    @albert_ma4021 5 месяцев назад +1

    where have you been hiding

  • @isaacchinhaoxiang6851
    @isaacchinhaoxiang6851 5 месяцев назад +1

    Hi Boer, really appreciate the work you're doing! Know that you probably get it a lot from the commentors, but you really do teach better than my lecturers! Cheers Boer :)

    • @BoerCommander
      @BoerCommander  5 месяцев назад

      Always a pleasure to help others through the journey Isaac! :D

  • @dipendraphuyal8914
    @dipendraphuyal8914 Год назад +1

    Well explained

  • @BoerCommander
    @BoerCommander  3 года назад +3

    0:00​ Introduction
    0:44​ SSR, SSE and SST
    03:13​ SSE in the Matrix Form
    04:24​ SST in Matrix Form
    08:26​ ANOVA Table
    13:22​ F statistic
    14:55​ Hypothesis Testing

    • @tanmay094
      @tanmay094 3 года назад +1

      Can you please explain the reason for taking n-1 as degree of freedom for SST.
      That would be very helpful.

    • @BoerCommander
      @BoerCommander  3 года назад +1

      @@tanmay094 Hi Tanmay, the degrees of freedom for SST is n - 1 as we have n samples in total and we had to estimate one parameter (the sample mean).

    • @tanmay094
      @tanmay094 3 года назад +1

      @@BoerCommander thanks a lot

  • @chathurangimadubashini8767
    @chathurangimadubashini8767 8 месяцев назад +1

    you simply solved all of my problems regarding this section, good job! Keep going. thank you

  • @getetilahun253
    @getetilahun253 Год назад +1

    Good

  • @quantowen1124
    @quantowen1124 3 года назад +2

    Man please make more videos 😭😭

  • @ben_jar
    @ben_jar 3 года назад +1

    Thank you sir

  • @m.m.hnocomments9813
    @m.m.hnocomments9813 2 года назад

    Can you solve one example please?

  • @hlamimashele1147
    @hlamimashele1147 3 года назад +1

    these are so helpful! Thank you, you are a course saver