Multivariable Linear Regression in SPSS (SPSS Tutorial Video #26)

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  • Опубликовано: 10 дек 2020
  • In this video, I explain how to conduct a multivariable linear regression in SPSS. I walk through the key assumptions that need to be checked, most critically, heteroskedasticity. I also show you how to interpret all the results including standardized and unstandardized beta coefficients. I also discuss how you can avoid Type 1 Error (False Positives) by using a Bonferroni Correction.
    This SPSS tutorial series is designed to teach you the basics of how to analyze and interpret the results of data using SPSS. I will cover everything from the very basics of the main windows within SPSS, to manipulating data, to running and interpreting meaningful analyses like t-tests, ANOVA, regression, and many more, and visualizing results.
    The data file used in this video can be found here: drive.google.com/file/d/1-Bbn...
    Video tutorial and walkthrough of the data file used in this video: • Introduction to Data F...
    REGRESSION VIDEO about basic Single Variable Linear Regression: • Linear Regression in S...
    REGRESSION VIDEO about Multivariable Linear Regression: • Multivariable Linear R...
    REGRESSION VIDEO about Continuous by Categorical Interactions with Linear Regression: • Continuous by Categori...
    REGRESSION VIDEO about Continuous by Continuous Interactions with Linear Regression: • Continuous by Continuo...
    Video about computing variables in SPSS: • Computing Variables in...
    Video about descriptive statistics in SPSS: • Descriptive Statistics...
    Playlist of video covering INTUITION for statistics and data science: • Data Intuition
    All the SPSS tutorial videos are in this playlist: • SPSS Tutorials
    Learn more about who I am and why I'm doing this here: • Data Demystified - Who...
    Follow me at:
    LinkedIn: / jeff-galak-768a193a
    Patreon: / datademystified
    Website: www.jeffgalak.com/datademystified
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Комментарии • 21

  • @hz8nd
    @hz8nd 2 года назад +36

    Hi Professor, kindly note that this is a Multiple Regression not a Multivariate Regression. Thanks.

  • @contessaa1671
    @contessaa1671 Год назад

    Thank you so much prof., for your very clear video. I am trying to run an analysis on a dependent variable that changes over a span of 2 years while I analyse the effect of two independent variables on the dependent variable. (depression at baseline is 100%, changes in depression after 2 years) I think i need to correct the dependent variable at baseline before I start my analysis but I don't know how. HELP please!!!!

  • @changchienchi7220
    @changchienchi7220 Год назад

    Hi, What version of SPSS do you use in this tutorial video? Thanks.

  • @thomasgoodenergy4648
    @thomasgoodenergy4648 2 года назад

    Prof. If u get minus in your B0 what does it mean,

  • @amobieltjarr7894
    @amobieltjarr7894 10 месяцев назад +1

    please i have multiple dependent and independent variables, ho do i go about it?

  • @jenniferb163
    @jenniferb163 3 года назад +1

    Hello, Do you have a reference I can use for justifying why I have done the Bonferroni correction?Thanks so much for your video

    • @DataDemystified
      @DataDemystified  3 года назад

      Honestly, absolutely any intro to stats / regression textbook will tell you to do this. Here's a quick link that talks about it and provides some specific references (towards the bottom): mathworld.wolfram.com/BonferroniCorrection.html

    • @jenniferb163
      @jenniferb163 3 года назад

      @@DataDemystified Thank you SO much, you have literally saved my dissertation.

  • @DF-lk7vj
    @DF-lk7vj Год назад

    what should i do if i got minus results on coefficients

  • @birukseifukoisha1161
    @birukseifukoisha1161 Год назад

    what would be the interpretation if the unstandardized beta coefficient is negative .

  • @dr.biostat
    @dr.biostat 5 месяцев назад +1

    Hi,
    This tutorial was about "Multiple Linear Regression" Not Multivariate Linear Regression.
    There are three types of regression:
    Simple: one dependent and one independent variable.
    Multiple: One dependent and more than one independent variable.
    Multivariate or Multivariable: more than one dependent and some independent variable.
    Sincerely.

  • @shahinhossen6696
    @shahinhossen6696 2 года назад +1

    What should i do when i have one independent variables and many dependent variables

    • @vibhorduttsharma1393
      @vibhorduttsharma1393 2 года назад +3

      Hey did you find any answer? I am dealing with the same one independent and many dependent variables???????

  • @ozal1234
    @ozal1234 8 месяцев назад

    how about multicollinearity test?

  • @eswaranletchumanan2599
    @eswaranletchumanan2599 2 года назад +1

    Hi sir currently I'm doing multivariate regression due to have 1IV and 2 DV but there's no any interpretation available on internet. Is there any example 😭😔

    • @shrikantdiscoversyt
      @shrikantdiscoversyt 2 года назад +2

      Hello, did you find anything? i am in same situation

    • @shahinhossen6696
      @shahinhossen6696 2 года назад

      @@shrikantdiscoversyt i am also

    • @nailafirdous6770
      @nailafirdous6770 2 года назад

      I am also.. please help

    • @shahinhossen6696
      @shahinhossen6696 2 года назад +1

      @@nailafirdous6770 yes, do regression individually everytime time taking one independent and one dependent variable

    • @NishaNarang-kw1yv
      @NishaNarang-kw1yv 4 дня назад

      Me too in same situation