Nobody will question you

Comments

• the_strange@feddit.org ⁨5⁩ ⁨months⁩ ago

  Relevant xkcd

  xkcd.com/2048/

  source

  • Allero@lemmy.today ⁨5⁩ ⁨months⁩ ago

    Of course there’s always a relevant XKCD

    Love it

    source
  • someguy3@lemmy.world ⁨5⁩ ⁨months⁩ ago

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

    source
• 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.

  source

  • 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.

    source

    • Bishma@discuss.tchncs.de ⁨5⁩ ⁨months⁩ ago

      My bitterness lingers from the 90s.

      source

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

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

  source

  • 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.

    source

    • 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.

      source
  • 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.

    source
• 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.

  source
• 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&.

  source
• photonic_sorcerer@lemmy.dbzer0.com ⁨5⁩ ⁨months⁩ ago

  Look at that choice of axis scale tho

  source
• sp3tr4l@lemmy.zip ⁨5⁩ ⁨months⁩ ago

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

  Less?

  source

  • 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.

    source
  • 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).

    source

    • sp3tr4l@lemmy.zip ⁨5⁩ ⁨months⁩ ago

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

      source
  • 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.

    source
• 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

  source
• sepi@piefed.social ⁨5⁩ ⁨months⁩ ago

  Nobody questioned Hubble so why would they question you?

  source
• Kalkaline@leminal.space ⁨5⁩ ⁨months⁩ ago

  Zoom out so it looks better.

  source