Born to do Math 54 – Metaprimes (Part 20)
Author(s): Scott Douglas Jacobsen and Rick Rosner
Publication (Outlet/Website): Born To Do Math
Publication Date (yyyy/mm/dd): 2017/04/30
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Rick Rosner: You can set up an information space to see how these variables correlate with each other and the dependent variable that you’re trying to suss out, which is success in college. Some variables are going to be less correlated with each other in this N-space than others. Let’s say geographic location or latitude – or longitude—say longitude and college grade point, it will be all over the place.
If any correlated at all, it will depend on if the kid grows up in a city or a rural area. Cities and rural areas are not randomly scattered, but scattered throughout the country, so longitude will not be any indicator of academic success. You can reduce the dimension of your N-variable because that is a crap predictor. Ideally, what you’d want to do is boil down the complicated N-space into a more compact thing in N-space.
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