SPSS (15): Multiple Linear Regression (OLS) Estimation

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  • Опубликовано: 22 авг 2024

Комментарии • 10

  • @RESEARCHHUB
    @RESEARCHHUB  5 лет назад

    See "the concept of linear regression" (everything you need to know)-> ruclips.net/video/3MmMYZTLkSo/видео.html
    & "testing the assumptions of linear regression in SPSS"-> ruclips.net/video/N-fnFlo8Ef4/видео.html

  • @mowp
    @mowp 4 года назад +2

    Thank you for this video. I'm a slow learner when it comes to statistical analyses. This video was so insightful and clarified all my confusions about the tiny details on linear regression. Thank you 😊

    • @RESEARCHHUB
      @RESEARCHHUB  4 года назад +1

      Thank you for the appreciation, feel free to share with your friends and colleagues.

    • @mowp
      @mowp 4 года назад

      @@RESEARCHHUB Sure I will

  • @piaw.1709
    @piaw.1709 3 года назад +1

    great content!!

  • @johnpaul7809
    @johnpaul7809 2 года назад

    where can i get this data? please and thank for your answer

  • @teresalee7119
    @teresalee7119 5 лет назад

    Hi, good explaination. but this is multiple linear regression, not multivariate linear regression. Can you give us a teaching of multivatiate linear regression like this?

    • @RESEARCHHUB
      @RESEARCHHUB  5 лет назад

      Hi, multivariate regression is a technique that estimates a single regression model with more than one outcome variable. When there is more than one predictor variable in a multivariate regression model, the model is a multivariate multiple regression (as in this video). What have you actually meant by multivariate linear regression?

    • @teresalee7119
      @teresalee7119 5 лет назад +1

      @@RESEARCHHUB Yeah, you are right. Strictly speaking, multiple and multivariate linear regression are different, although sometimes people mix them up. Multivariate linear regression data set is more complicated since it contains more than one responsible variables, and the multiple y share a same set of x variables. Indeed, there are different methods to analyze multivariate data set (containing many y variables), such as multivariate linear regression, PCA and redundancy analysis (RDA). Can you give us a teaching regarding all these analyzing method and their application scope differences?

    • @RESEARCHHUB
      @RESEARCHHUB  5 лет назад +1

      @@teresalee7119 Thank you for clearing this. We will soon publish some videos on PCA and vector autoregressive models.