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I collected some social statistics from the internet and computed their correlations: https://drive.google.com/open?id=0B9wG-PC9QbVERHdiTi1uTlFMMlU My sources were: http://pastebin.com/ERk1BaBu
But I'm not sure how to proceed from there: https://drive.google.com/open?id=0B9wG-PC9QbVEWlRZSG9KM0ZFeVk ?? Dotted lines represent positive correlations and arrowed lines negative correlations.
I obtained that confusing chart by following this questionable method: https://drive.google.com/open?id=0B9wG-PC9QbVEVHg1T1lQNE1ZTk0 First, drop some of the trivial correlations like the ones among the different measures of national wealth, and weaker correlations between +.5 and -.5. For each variable, select the correlation furthest from 0 and throw it into the chart. I also tried keeping only one measure of national wealth in the model in hopes of less confusion: https://drive.google.com/open?id=0B9wG-PC9QbVEZlExWmhoOWRjVk0
I'm looking for help in analyzing this data. Are there any methods you would recommend? Which variables should I drop for better results? I tried keeping only proportions at one point. (Bayesian causal inference assumes the nonexistence of circular causation AIUI, a condition I can't guarantee with this data, to say the least.)
(Fixed the links. Sorry about that.)
What is it that you want to do?
Just looking at correlations and nothing else can lead to funny results.