this post was submitted on 07 Apr 2025
612 points (98.0% liked)
Funny
9020 readers
677 users here now
General rules:
- Be kind.
- All posts must make an attempt to be funny.
- Obey the general sh.itjust.works instance rules.
- No politics or political figures. There are plenty of other politics communities to choose from.
- Don't post anything grotesque or potentially illegal. Examples include pornography, gore, animal cruelty, inappropriate jokes involving kids, etc.
Exceptions may be made at the discretion of the mods.
founded 2 years ago
MODERATORS
you are viewing a single comment's thread
view the rest of the comments
view the rest of the comments
AFAIR the R2 is (almost) equal to rho in the Pearson correlation. I just see two variables, a linear fit from - possibly - an OLS. The small R2 is likely due to the outlier (though a single outlier by this mass of points raises my eyebrows as the MSE (or take the RSME) won’t be affected as such by a single point when there are 15’000 points centered closely around an estimate, but CCV would tell) and R2 says nothing about the p-value, which is determined by the amount of information in a system/about variables, and hence likely way below 0.05.
This relationship aka in this case correlation says pretty much nothing about real world, because IQ is (possibly) not only determined by IQ, but way many other factors. The picture is utterly simplified. It is similar to the relationship between the number of babies and the number of storks.