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Nobody will question you

⁨867⁩ ⁨likes⁩

Submitted ⁨⁨5⁩ ⁨months⁩ ago⁩ by ⁨The_Picard_Maneuver@lemmy.world⁩ to ⁨science_memes@mander.xyz⁩

https://lemmy.world/pictrs/image/f733373c-e02a-4aa1-986e-243eb5e4ec3c.png

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Comments

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  • the_strange@feddit.org ⁨5⁩ ⁨months⁩ ago

    Relevant xkcd

    xkcd.com/2048/

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    • Allero@lemmy.today ⁨5⁩ ⁨months⁩ ago

      Of course there’s always a relevant XKCD

      Love it

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    • someguy3@lemmy.world ⁨5⁩ ⁨months⁩ ago

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

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  • Bishma@discuss.tchncs.de ⁨5⁩ ⁨months⁩ ago

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

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    • taiyang@lemmy.world ⁨5⁩ ⁨months⁩ 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.

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      • Bishma@discuss.tchncs.de ⁨5⁩ ⁨months⁩ ago

        My bitterness lingers from the 90s.

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        • -> View More Comments
  • NocturnalMorning@lemmy.world ⁨5⁩ ⁨months⁩ ago

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

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    • reallykindasorta@slrpnk.net ⁨5⁩ ⁨months⁩ 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.

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      • NocturnalMorning@lemmy.world ⁨5⁩ ⁨months⁩ 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.

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    • TexasDrunk@lemmy.world ⁨5⁩ ⁨months⁩ ago

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

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  • observantTrapezium@lemmy.ca ⁨5⁩ ⁨months⁩ 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.

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  • fossilesque@mander.xyz ⁨5⁩ ⁨months⁩ ago

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

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  • photonic_sorcerer@lemmy.dbzer0.com ⁨5⁩ ⁨months⁩ ago

    Look at that choice of axis scale tho

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  • sp3tr4l@lemmy.zip ⁨5⁩ ⁨months⁩ ago

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

    Less?

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    • rustydrd@sh.itjust.works ⁨5⁩ ⁨months⁩ 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.

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    • taiyang@lemmy.world ⁨5⁩ ⁨months⁩ 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).

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      • sp3tr4l@lemmy.zip ⁨5⁩ ⁨months⁩ ago

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

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    • MeowZedong@lemmygrad.ml ⁨5⁩ ⁨months⁩ ago

      Delete enough data points and it will be 1. You’ll only have two data points, but you’ll have bragging rights.

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  • azi@mander.xyz ⁨5⁩ ⁨months⁩ ago

    Actual graph used to inform government decisions

    Scatter plot correlating parked vehicles at supermarkets with the store’s number of employees. There’s only two data points and the trend line is drawn in the exact opposite direction of what they show (line says the store with more employees had more cars, the data shows otherwise). Page 602 of the Parking Generation Manual 5th Edition

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  • sepi@piefed.social ⁨5⁩ ⁨months⁩ ago

    Nobody questioned Hubble so why would they question you?

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  • Kalkaline@leminal.space ⁨5⁩ ⁨months⁩ ago

    Zoom out so it looks better.

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