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<blockquote data-quote="slugboy" data-source="post: 977169" data-attributes="member: 282"><p>There is one easy thing I see from this—P5 is one cluster of difficulty, and G5 is another one. It’s two different leagues. (This is where people say “oh, duh”, but the blue-green and the red clusters could be squished together a lot more. Maybe it’s the conferences and all the in conference games, but there’s a real separation between the two “leagues”.</p><p></p><p>Then it gets into what you do with the data. Normally, you’d do the first chart. If you were only looking at P5 teams, you’d get a different result. There probably aren’t enough games played between the G5 and P5 teams to justify having one big regression between them (just a guess). I also wonder how good a metric “strength of schedule” is if we don’t have enough games between the G5 and P5 teams. </p><p></p><p>Also, Nate Manzo didn’t give a correlation coefficient or a hypothesis test. Without those, I kinda guess “meh, it’s probably not that strong a relationship” based on just my preconceptions. But, I can see how people would find the examples to justify their arguments of “schedule HARDER” vs “No! Schedule EASIER!”.</p></blockquote><p></p>
[QUOTE="slugboy, post: 977169, member: 282"] There is one easy thing I see from this—P5 is one cluster of difficulty, and G5 is another one. It’s two different leagues. (This is where people say “oh, duh”, but the blue-green and the red clusters could be squished together a lot more. Maybe it’s the conferences and all the in conference games, but there’s a real separation between the two “leagues”. Then it gets into what you do with the data. Normally, you’d do the first chart. If you were only looking at P5 teams, you’d get a different result. There probably aren’t enough games played between the G5 and P5 teams to justify having one big regression between them (just a guess). I also wonder how good a metric “strength of schedule” is if we don’t have enough games between the G5 and P5 teams. Also, Nate Manzo didn’t give a correlation coefficient or a hypothesis test. Without those, I kinda guess “meh, it’s probably not that strong a relationship” based on just my preconceptions. But, I can see how people would find the examples to justify their arguments of “schedule HARDER” vs “No! Schedule EASIER!”. [/QUOTE]
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