The real reason his R is terrible is that he's only analyzing junglers, which is basically the most complex and most nonlinear role in all of Lo L (I bet ADC vs CS/min would be pretty linear).
A lot of the jungler's role depends on EVERYTHING, from your team comp/synergy vs the enemy's, counter comps, your gank path, your team's predictions of the enemy, both jungler's ingenuity at finding something new and unexpected (for example Lee Sin ward hops to areas that avoid commonly warded areas of the enemy).
come from the graduate coordinator’s office at least two weeks prior to the exam.
The student must be registered for the appropriate number of hours prior to the exam.
The relationships between different variables rely on a ton of different assumptions, and they react to each other in complicated ways.
For example, I don't think you can theoretically claim a straightforward causal relationship between ward share and damage share.
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When people explore through Elixir.com, they often approach me with lots of ideas of different kinds of analyses to run, relationships they could construct between different variables, but Lo L is far too complicated an environment to do what baseball and other traditional sports have done with their stats. I remember something like heteroskedasticity not necessarily influencing parameter values, but their error estimates (i.e.
your slope and intercept are OK but your error estimates, CIs etc are off), but I don't trust my memory on something I haven't touched for some years.