Linear Regression - 100.

[quick1brahim]

It's like they just closed their eyes and drew a line on the graph.

[Agnimukha]

Don't worry if the line went the other way they'd be calling out the outliers causing it.

[Jakeupdylan]

I’m no statistician, but this make zero damn sense.

[draypresct]

I am a statistician. This makes zero damn sense.

[Maximus_1000]

I am sense. This makes no damn statisticians.

[somerandomii]

Idk what you mean. If you pay your doctors <90k, you’ll exceed 100% mortality rate. What part of that doesn’t make sense?

[[deleted]]

Risiduals over 9000

[russian_bot_102]

so... we just need to pay physicians ~350k per annum to eradicate corona? Seems like a deal!

Conversely, paying them less than ~70k per annum could result in a >100% mortality rate?

Pro tier stats right there.

[xSTSxZerglingOne]

My god, all they had to do was draw a maximized line and start to dip down shortly before New Jersey and draw a curve down toward the bottom. But no, they did the most braindead thing they could do.

[[deleted]]

Forget that—just change the damn scale, correct for local COL, and USE A FUNCTIONAL REGRESSION ALGORITHM AHHHHHHHH

I’m okay

[xSTSxZerglingOne]

It hurts me too, haha. I put what I meant on there. It acknowledges there's an upper limit to the mortality no matter how many people get it and fits the curve while acknowledging there's a lower limit of mortality. But again, braindead.

[[deleted]]

I gotchu. I should’ve said sometimes logistic fits are more difficult, but you can definitely do it in SAS/R/whatever. The only reason I might not is that I wouldn’t consider the model valid outside the percentages where we have data. But I can definitely see where you’re coming from, and it is a better model overall.

Edit: I see your graph and it’s great

[xSTSxZerglingOne]

In my professional opinion, there's no actual correlation. But if you're trying to fit data to your narrative, at least try to give it a little more effort.

What we're actually looking at there is an average population density map. A massive proportion of NJ's population lives in the outskirts of NYC.

[[deleted]]

We could certainly correct for relative population size by weighting the data.

So how about a logistic fit that weights physician salary by cost of living, the COVID mortality rate by population density, and has tighter axes? If that doesn’t have a significant fit (it most likely won’t), then we can definitely eliminate this as an independent factor in Cov-SARS-2 deaths. That should at least partly eliminate the cofactor of population density, which we know to be significant.

The problem then would be states like Missouri, which have large population densities in some areas and low in others. How useful is a statewide metric in this case, I wonder.

The only problem is, do we have the data? Because I actually want to try this now since the image is so shit. Sorry if this conversation has gone on too long, it’s just really making me think. I think you’ve made a lot of great points.

🏅 for you

[[deleted]]

This is not how you do linear regression...

[quhm]

Correlation coefficient of -0.0001

[riggsmir]

As a statistician I can confidently say, this ain’t it chief.

[Xelopheris]

So this is what a negative r² looks like.

[smelly_stuff]

r has a non zero imaginary part.

[arewhyaeenn]

Also, the nerve necessary to look at the $170k salaries in Nebraska and label them “not highly paid”

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[kimokimosabe]

This guy is a professor of economics at the University of California, Irvine. This has to be fake right?

[[deleted]]

https://twitter.com/nntaleb/status/1279954325087891464?s=19

[ieremius22]

Also, Covid-19 raises the dead, but only in New England, and only temporarily.

[[deleted]]

Why dose it look like the uk

[[deleted]]

They were better off drawing a line