Logistic Regression (Single Variable) in SPSS (SPSS Tutorial Video #33)

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  • Опубликовано: 15 июл 2024
  • In this video, I explain how to conduct a single variable binary logistic regression in SPSS. I walk show you how to conduct the logistic regression, interpret the results, and plot the results.
    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.
    Video about creating Dummy Codes: • Dummy Coded Variables ...
    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...
    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...
    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...
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    LinkedIn: / jeff-galak-768a193a
    Patreon: / datademystified
    Website: www.jeffgalak.com/datademystified
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Комментарии • 1

  • @ahmedmirza1316
    @ahmedmirza1316 3 месяца назад

    Great great video... Yes, I will be checking your other videos. It makes a lot more since and easier to select a statistical model when you intuitively understand the equations. I am a university professor and I see that my students do much better when they understand, not necessary use, the math behind the models.
    My question, you did not say anything about the "overall percentage correct", how does it interpreted? What does it tell me about the model? Would it be something similar to r2 (r squared) in simple regression?