MHB Correlation to Winning question

  • Thread starter Thread starter vballer
  • Start date Start date
  • Tags Tags
    Correlation
vballer
Messages
2
Reaction score
0
I have a bunch of data for volleyball and I am trying to figure out how correlated certain stats are to winning a game. Here is a small example of the data set.

[TABLE="width: 500"]
[TR]
[TD]Pts
[/TD]
[TD]Err
[/TD]
[TD]Diff
[/TD]
[TD]EFF%[/TD]
[TD]Win
[/TD]
[/TR]
[TR]
[TD]21
[/TD]
[TD]10
[/TD]
[TD]11
[/TD]
[TD].360
[/TD]
[TD]1
[/TD]
[/TR]
[TR]
[TD]21
[/TD]
[TD]10
[/TD]
[TD]11
[/TD]
[TD].350
[/TD]
[TD]1
[/TD]
[/TR]
[TR]
[TD]18
[/TD]
[TD]11
[/TD]
[TD]7
[/TD]
[TD].250
[/TD]
[TD]1
[/TD]
[/TR]
[TR]
[TD]14
[/TD]
[TD]6
[/TD]
[TD]8
[/TD]
[TD].280
[/TD]
[TD]1
[/TD]
[/TR]
[TR]
[TD]19
[/TD]
[TD]10
[/TD]
[TD]9
[/TD]
[TD].380
[/TD]
[TD]1
[/TD]
[/TR]
[TR]
[TD]17
[/TD]
[TD]6
[/TD]
[TD]11
[/TD]
[TD].300
[/TD]
[TD]1
[/TD]
[/TR]
[TR]
[TD]12
[/TD]
[TD]9
[/TD]
[TD]3
[/TD]
[TD].200
[/TD]
[TD]0
[/TD]
[/TR]
[TR]
[TD]14
[/TD]
[TD]10
[/TD]
[TD]4[/TD]
[TD].100
[/TD]
[TD]0
[/TD]
[/TR]
[TR]
[TD]11
[/TD]
[TD]8
[/TD]
[TD]3
[/TD]
[TD].050
[/TD]
[TD]0
[/TD]
[/TR]
[/TABLE]

I am trying to determine which of these items are most correlated to winning (the last column). As you can see if it is a win the value is 1 and if not then it is a 0. In addition, to determining the most useful stats for determining a win, I would like to know what levels each of the first 4 columns should be in order to generate a win at a certain confidence level.

Any help with this is greatly appreciated.

Thanks
Jamie
 
Mathematics news on Phys.org
vballer said:
I have a bunch of data for volleyball and I am trying to figure out how correlated certain stats are to winning a game. Here is a small example of the data set.

[TABLE="width: 500"]
[TR]
[TD]Pts[/TD]
[TD]Err[/TD]
[TD]Diff[/TD]
[TD]EFF%[/TD]
[TD]Win[/TD]
[/TR]
[TR]
[TD]21[/TD]
[TD]10[/TD]
[TD]11[/TD]
[TD].360[/TD]
[TD]1[/TD]
[/TR]
[TR]
[TD]21[/TD]
[TD]10[/TD]
[TD]11[/TD]
[TD].350[/TD]
[TD]1[/TD]
[/TR]
[TR]
[TD]18[/TD]
[TD]11[/TD]
[TD]7[/TD]
[TD].250[/TD]
[TD]1[/TD]
[/TR]
[TR]
[TD]14[/TD]
[TD]6[/TD]
[TD]8[/TD]
[TD].280[/TD]
[TD]1[/TD]
[/TR]
[TR]
[TD]19[/TD]
[TD]10[/TD]
[TD]9[/TD]
[TD].380[/TD]
[TD]1[/TD]
[/TR]
[TR]
[TD]17[/TD]
[TD]6[/TD]
[TD]11[/TD]
[TD].300[/TD]
[TD]1[/TD]
[/TR]
[TR]
[TD]12[/TD]
[TD]9[/TD]
[TD]3[/TD]
[TD].200[/TD]
[TD]0[/TD]
[/TR]
[TR]
[TD]14[/TD]
[TD]10[/TD]
[TD]4[/TD]
[TD].100[/TD]
[TD]0[/TD]
[/TR]
[TR]
[TD]11[/TD]
[TD]8[/TD]
[TD]3[/TD]
[TD].050[/TD]
[TD]0[/TD]
[/TR]
[/TABLE]

I am trying to determine which of these items are most correlated to winning (the last column). As you can see if it is a win the value is 1 and if not then it is a 0. In addition, to determining the most useful stats for determining a win, I would like to know what levels each of the first 4 columns should be in order to generate a win at a certain confidence level.

Any help with this is greatly appreciated.

Thanks
Jamie

I'm not sure that you strictly mean correlated, the best predictor for winning for this data is EFF% where EFF%>=0.25 predicts a win and EFF%<=0 predicts a loss and between 0.2 and 0.25 is a no-man's land.

Diff will also provide a perfect predictor for this data but the no-man's land is relatively wider.

Without knowing what the real question is there is little more that it is worth saying.

CB
 
Let me try this again with the actual data set attached.

Most importantly I am not looking for the actual answer but more how to derive the answer. I guess when you say predictor how did you determine this?

To recap, I have 7 columns of stats and the 8th column is 1 if the game was won and 0 if it was lost. So how do I determine what the best predictors of a win are?

Thanks

View attachment 148
 

Attachments

Suppose ,instead of the usual x,y coordinate system with an I basis vector along the x -axis and a corresponding j basis vector along the y-axis we instead have a different pair of basis vectors ,call them e and f along their respective axes. I have seen that this is an important subject in maths My question is what physical applications does such a model apply to? I am asking here because I have devoted quite a lot of time in the past to understanding convectors and the dual...
Insights auto threads is broken atm, so I'm manually creating these for new Insight articles. In Dirac’s Principles of Quantum Mechanics published in 1930 he introduced a “convenient notation” he referred to as a “delta function” which he treated as a continuum analog to the discrete Kronecker delta. The Kronecker delta is simply the indexed components of the identity operator in matrix algebra Source: https://www.physicsforums.com/insights/what-exactly-is-diracs-delta-function/ by...

Similar threads

Replies
24
Views
3K
Replies
4
Views
1K
Replies
4
Views
2K
Replies
5
Views
2K
Replies
7
Views
3K
Replies
7
Views
4K
Replies
3
Views
2K
Back
Top