incarceration vs 'predictor' variables

1. 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 incarceration vs the three 'predictor' variables.
   ... 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*
2. 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?
3. other comments
   i) the plots present means, standard deviations, the 'best-fit' lines, and Pearson r-values for Rep and Dem states ... P-values for the associated r-values are used to obtain a calculated 'impact' quantity. The 'impact' quantifies the significance/importance of a predictor metric.
   ii) the correlation of Dem evangelical with the Dem incarceration has an impact of 19500; which is very much larger than the other predictor/response metric combinations – in other words, increasing evangelical population of Dem states greatly influences Dem states' increasing incarceration rates; much more so than the Rep states' evangelical population influence upon incarceration rates.
   iii) the impacts of the 'rural-urban' and diversity* metrics upon the states' incarceration rates are not important
4. Similar plots using the three 'predictor' metrics have been posted:
   for GDP (20Jan), state taxes (17Feb), suicide rate (17Mar), opioid dispensing rate (26May), life expectancy (18Aug), and infant mortality (06Oct)