• observantTrapezium
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    209 hours ago

    Just saw the scatter plot and line and my mind immediately screamed “bullshit” without knowing what this was about at all. Only then I read the text.

    • @someguy3
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      53 hours ago

      It took too long for me to realize it was the same data.

  • @[email protected]M
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    2010 hours ago

    Label your x and y, you dirty heathen. Such offense, you’re lucky you’re not catching a b&.

  • sp3ctr4l
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    1810 hours ago

    What’s the r² on this, like … 0.3 ish?

    Less?

    • @[email protected]
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      78 hours ago

      My guess is lower. I’d put the correlation at about -.35 to -.45, so that’d correspond to an R² of .1225 to .2025. But eyeballing correlations is hard.

    • @taiyang
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      510 hours ago

      Assuming it’s a correction line, I don’t think you can tell from the slope of that line alone as the clustering will matter and correlations are finicky. Now, if it was a regression coefficient, that sexy line can be calculated just by looking at it (although we’d want to know if it was significant, lol).

      • sp3ctr4l
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        48 hours ago

        I was assuming its a simple linear regression fit, and attempting to eyeball the r², haha.

  • 👍Maximum Derek👍
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    14 hours ago

    Unless you’re in a college statistics course, then if your line is off by a pixel your grade drops a full letter.

    • @taiyang
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      1310 hours ago

      If you’re in a college statistics course and you’re doing graphs by hand and not generated entirely be statistics software, the skills you’re learning are useless anyway.

        • @[email protected]
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          67 hours ago

          Memories of my professor in early 2010s teaching us to do it by hand in case the power at work ever goes out and we don’t wanna get fired … based on his 90s work experience.

          He was fun though.

        • @taiyang
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          109 hours ago

          To be fair, I’m snarky because plenty of colleges (and way too many high schools) still do this shit because it’s not about the knowledge, it’s about the signalling to employers that the student will make a good cog in their machine.

          To anyone struggling in a stats course: real data science is programming, not math. If you’re on Lemmy there is a good chance you’re a better data scientist than your hack of a teacher.

          • @[email protected]
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            24 hours ago

            …my stats professor is a programmer, though. Are you not talking about high level statistics courses? A lot has changed since R and Rstudio has been developed. (It’s FOSS!). All of my assignments are either proofs in LaTeX or questions that involve programming.

            ( If you’re in a stats course and using excel, you are learning stats for babies. Your class has business majors in it.)

  • @NocturnalMorning
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    4014 hours ago

    And make sure you use linear regression, nobody thinks linear regression is bad.

    • @[email protected]
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      1211 hours ago

      Yeah that would be bad practice, industry standard is to run all the tests simultaneously and if something comes out statistically significant make up a narrative then try to split it into 4 papers.

      • @NocturnalMorning
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        510 hours ago

        Tell that to the reviewers who constantly ask my wife why she didn’t do linear regression in her analysis. She rages against linear regression constantly. But some people swear by it, which i think is weird.

    • @TexasDrunk
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      513 hours ago

      Folks in observation and analytics are gonna be real mad when they realize you’re giving away their secrets.

    • Rhaedas
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      1113 hours ago

      Could be valid. Now if it had been logarithmic the pro tip might still be true, since many don’t look at the axis either.

  • sepi
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    614 hours ago

    Nobody questioned Hubble so why would they question you?