best-fit lines, correlations: state+local ed spending VS evangelical

Purpose
In order to 'understand' the non-random, top/bottom, Rep/Dem differentiation of metric values, eight "response" metrics are correlated with three "predictor" metrics. This post presents the 'response' variable state+local ed spending vs the evangelical 'predictor' metric....
the eight "response" metrics: GDP, state taxes; suicide rate, opioids; life expectancy, infant mortality; incarceration, state+local ed spending
... the three "predictor" metrics: 'rural-urban', evangelical, diversity*

the "big picture"
i) There is a non-random, top/bottom, Dem/Rep pattern. Patterns have reasons/causes and are mathematical.
ii) Rep states are always on the negative side (less GDP, more suicides, lower life expectancy, etc).
iii) How did 150 million voters, acting individually, separate the fifty states into two such disparate groups?
iv) is there a "predictive" metric or combination of metrics which can be used to explain the characteristic Rep/Dem differences seen in the data?

other comments
i) the t-test value of 0.10 for EdSpending is the largest t-test value of the eight Response metrics – indicating that the data has a 10% probability that the sample means represent the same Population
ii) the Ed Spending metric shows 'typical' Response to evangelical Predictor: increasing evangelical population correlates with decreased ed spending
iii) however, the impact values are small – indicating that the Evangelical-EdSpending relationship is not-important
iv) that curious Rep state with the smallest evangelical population? Utah

Ah! Got it. Is there data for that breakdown anywhere? I'd love to see it, though that makes perfect sense.

sources

state+local ed spending
https://www.usgovernmentspending.com/compare_state_spending_2019b20a#copypaste
evangelical population
https://www.pewforum.org/religious-landscape-study/religious-tradition/evangelical-protestant/
tool: Mathematica

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top two plots:
– dashed lines are the mean values; the 'boxes' show one standard deviation from the mean
– "(3400 ± 630 (18%)" represents (mean ± 1 SD (relative SD); "relative SD" = SD/mean

bottom plot:
– the ellipses are centered on the Rep/Dem means; the standard deviations are represented by the ellipses' axes
– the 50 plot points represent the (evangelical, state+local ed spending) coordinates for each state; and are colored according to their 2020 Electoral College vote
– "r" is the Pearson correlation value
– the lines are the 'best-fit' lines thru the Dem and Rep data

This looks bad and is misleading. Wrong sub.

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If my grandma had wheels, she would’ve been a bike.

A lot of the petroleum is for transport. Not much is electricity generation.

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If my grandma was a bike....

Quadrillion is my new favorite word….

I feel like PornHub should be on this list...

Without a banana for scale I can't really understand the significance of this

On the bright side there has been a surge in tank sales!

Data appears funny. Are they counting household or individuals? Ie, if children bought home with a mortage and the 85+ lives with children, what category is it in?

Hey I ain't defending Russia or Putin by any means, can't stand the shitbag, but Ukraine isn't any pretty flower either. I've seen for the last like 15 the stuff they've done and if it wasn't for Putin tryna be Mr big dick (especially after Crimea) we'd all probably talk shit on Ukraine too.

Didn't Putin threaten anyone that that decided to help Ukraine with"consequences yet to be seen" or am I missing something?

So I am actively saying I am for nuclear power plants

Doesn't a lot of classified stuff get put in the library of Congress? 100 page long reports could fluff that up but also not exactly sure what the units are

From the sounds of it, you ARE the opposition.

I think this is kinda like people who are afraid of flying because of plane crashes. But realistically you are far more likely to die in a car crash in the way to the airport than in a plane crash after you get there.

There is no such thing as nuclear fallout from civilian power plants.... so say wha?

What does that have to do with this chart or nuclear power?

Literally more people per megawatt have died from even SOLAR from things like falling off their roof installing panels than from all non military nuclear damage.

For coal, its orders of magnitude worse

If you replant and cycle your logging, it's neutral too. Drive around the pacific northwest, you can visually see almost the full loop around a hill range where there are different strips in a row in varying levels of regrowth cycling around.

Only cutting and then just leaving it for pasture or waste or development is one way

Pretty sure a pie chart would be much better