Jamovi 1.2/1.6 Tutorial: Multivariate Linear Regression (Episode 6)

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  • Опубліковано 10 гру 2024

КОМЕНТАРІ • 15

  • @ELDRofficial
    @ELDRofficial 4 роки тому +1

    Thanks so much for this! It’s definitely a challenge balancing motherhood with all other aspects of our lives- including my own artistic endeavours as an independent musician 💕 Thankyou for the inspiration.

  • @subodhahendahewa
    @subodhahendahewa 3 роки тому +1

    Thanks so much for this!! Very helpful!

  • @MaxSaxophone
    @MaxSaxophone 2 роки тому +4

    Your title is confusing. Isn't multivariate regression supposed to have multiple outcome variables?

    • @AlexanderSwan
      @AlexanderSwan  2 роки тому

      No, that would be a multivariate Analysis of Variance; multiple regression can only ever have one dependent/outcome variables, unless you do something like a Hierarchical Linear Model (HLM). The title refers to how many predictor variables you have.

    • @OoOoOxDA
      @OoOoOxDA 2 роки тому +2

      @@AlexanderSwan wouldn’t this video be multiple regression? Multivariate multiple regression is definitely possible, but not in Jamovi (to my knowledge). But I agree with the comment that multivariate would be multiple DVs. I might be wrong but this is my understanding. Multiple refers to multiple predictors and multivariate refers to multiple DVs.

    • @AlexanderSwan
      @AlexanderSwan  2 роки тому

      There's no hard-and-fast rule about this

  • @arechkikabderrahman763
    @arechkikabderrahman763 2 роки тому +1

    Concerning catégorial variables how Can Do m'y interprétation

  • @mrvfitness_gh7300
    @mrvfitness_gh7300 3 роки тому

    can you make a video on using categorical predictors in a hierarchical regression?

  • @Zoe-ip7qh
    @Zoe-ip7qh 2 роки тому

    can you do apa write up videos

    • @AlexanderSwan
      @AlexanderSwan  2 роки тому +3

      Like how to write a results section for this output?

  • @coachbrunoaires6123
    @coachbrunoaires6123 2 роки тому

    Hi :D very good content.
    I have a problem: could you tell me how to calculate the regression line in this format: y = mx + b ?
    what is m and b in multivariables analysis of your example. Sorry about the easy question i guess :s

    • @AlexanderSwan
      @AlexanderSwan  2 роки тому

      The m is the slope of the line in that equation. In the regression output, this is the "unstandardized" coefficient. The b in that equation is the intercept; that means the value of y when x = 0. The intercept gets it own row on the reg output, and its value will also be in the unstandardized column.

  • @PanLamda
    @PanLamda Місяць тому

    Thats multiple regression mate, not multivariate

    • @AlexanderSwan
      @AlexanderSwan  Місяць тому

      Multivariate means “multiple variables” and terms are interchangeable in stats quite a bit. The title of the video and the thumbnail capture both. But you do you