Would like to analyse 3 completed seasons for correlation and regression. Watch

8013
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I am studying correlation and regression in maths stats S1, so I am going to analyse 3 completed seasons by drawing linear correlation lines and finding out the PMCC. This is my second academic analysis of the football leagues, after finding outliers in the big 5 leagues.
Which should I use for the number of teams?
1. n=20 (PL teams only)
2. n=72 (EFL teams only)
3. n=92 (PL and EFL only)
4. n=98 (all big 5 leagues only)
And for the seasons, should I just use the 3 most recent seasons (2016/17, 2017/18 and 2018/19)?
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Rock Fan
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I would use the most recent seasons for sure
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8013
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I have completed my analysis of the 2018/19 Premier League on this. Would you all like to see it?
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moggis
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(Original post by 8013)
I have completed my analysis of the 2018/19 Premier League on this. Would you all like to see it?
I guess I would but I’m more interested 5o know more about what you’re doing since I bet on outright markets extensively and have a keen interest in the speed with which things change .
I don’t think three seasons is enough to acquire meaningful results but then I’m not 100% sure what you’re doing or trying to find out . PMCC?
Also do you take into account the fact that luck plays a big part I’m many results especially between mid table teams so that the difference between a team finishing 8th and finishing 17th is usually down to pure chance .
I can highly recommend the articles of Kevin Pullein regarding this kind of thing.
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