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.
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).
What’s the r² on this, like … 0.3 ish?
Less?
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.
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).
I was assuming its a simple linear regression fit, and attempting to eyeball the r², haha.
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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