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Posted December 09, 2013 00:36 · last edited December 09, 2013 00:38

Here's a graph showing the relationship between the results during a season and the attendances of that season. The blue line is the average attendance for that season. The green bar is the number of position from the bottom of the table that the Phoenix placed (e.g. last season is 1 as we came bottom, whereas 09/10 is 7). The yellow bar is the same as the green bar, but it uses the average attendance table for that season, rather than the results table, in order to provide some context to our average attendance for that season.




I just calculated the correlation coefficient for the relationship between position in the league (using my reversed data as above) against the average attendance in the league, and it came out as -0.105238934. This indicated that there is a weak, negative relationship between the two data sets.

First of all, as the coefficient is very close to 0, there is a weak relationship between the two datasets (a value of 1 or -1 would be a very very strong relationship, whereas 0 would be no relationship at all).

Secondly, there is a negative relationship between the two. This is bizarre, as we would expect there to be a positive relationship (which would mean as we get further away from the bottom of the table, we would see the attendances get higher too). However, the correlation is actually negative, which means that as we get further away from the bottom of the table, attendances go down. However, we shouldn't read too much into this negative relationship, since the relationship is very weak. (In fact, the cause of this is season one, where we came last but had our best ever attendances).

Note: I removed all playoff attendances for both the graph and the correlation.

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paige478 edited December 09, 2013 00:38

Here's a graph showing the relationship between the results during a season and the attendances of that season. The blue line is the average attendance for that season. The green bar is the number of position from the bottom of the table that the Phoenix placed (e.g. last season is 1 as we came bottom, whereas 09/10 is 7). The yellow bar is the same as the green bar, but it uses the average attendance table for that season, rather than the results table, in order to provide some context to our average attendance for that season.



I just calculated the correlation coefficient for the relationship between position in the league (using my reversed data as above) against the average attendance in the league, and it came out as -0.105238934. This indicated that there is a weak, negative relationship between the two data sets.

First of all, as the coefficient is very close to 0, there is a weak relationship between the two datasets (a value of 1 or -1 would be a very very strong relationship, whereas 0 would be no relationship at all).

Secondly, there is a negative relationship between the two. This is bizarre, as we would expect there to be a positive relationship (which would mean as we get further away from the bottom of the table, we would see the attendances get higher too). However, the correlation is actually negative, which means that as we get further away from the bottom of the table, attendances go down. However, we shouldn't read too much into this negative relationship, since the relationship is very weak. (In fact, the cause of this is season one, where we came last but had our best ever attendances).

Note: I removed all playoff attendances for both the graph and the correlation.


paige478 edited December 09, 2013 00:37

The blue line is the average attendance for that season. The green bar is the number of position from the bottom of the table that the Phoenix placed (e.g. last season is 1 as we came bottom, whereas 09/10 is 7). The yellow bar is the same as the green bar, but it uses the average attendance table for that season, rather than the results table, in order to provide some context to our average attendance for that season.



I just calculated the correlation coefficient for the relationship between position in the league (using my reversed data as above) against the average attendance in the league, and it came out as -0.105238934. This indicated that there is a weak, negative relationship between the two data sets.

First of all, as the coefficient is very close to 0, there is a weak relationship between the two datasets (a value of 1 or -1 would be a very very strong relationship, whereas 0 would be no relationship at all).

Secondly, there is a negative relationship between the two. This is bizarre, as we would expect there to be a positive relationship (which would mean as we get further away from the bottom of the table, we would see the attendances get higher too). However, the correlation is actually negative, which means that as we get further away from the bottom of the table, attendances go down. However, we shouldn't read too much into this negative relationship, since the relationship is very weak. (In fact, the cause of this is season one, where we came last but had our best ever attendances).

Note: I removed all playoff attendances for both the graph and the correlation.