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Nice example of the way that a relationship that is nonlinear "in real life" looks pretty good with a regression line through it
Short answer: What of it?
a lot of people will define a linear relationship where there is little evidence of one.
I'm also reminded of something that Jeopardy! champion Bob Harris said in his book about his path through the world of Jeopardy! - "You can often see only what you think you see".
Well, it raises the question of whether Baltimore's record was just some big fluke, or whether it was largely fluke but with other things going on (great bullpen, HR-heavy offense, stark in-season improvement) that lead to a better record in close games, and thus whether it's worth focusing more on those things in building/analyzing teams.
Kind of like James Burke's opening line for The Day the Universe Changed?
I'm a scientist and I know what constitutes proof. But the reason I call myself by my childhood name is to remind myself that a scientist must also be absolutely like a child. If he sees a thing, he must say that he sees it, whether it was what he thought he was going to see or not. See first, think later, then test. But always see first. Otherwise you will only see what you were expecting. Most scientists forget that.
Contrast that with Tampa Bay, who had the third highest run differential in the majors but will be watching the playoffs on TV.
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