Sports teams prefer to play in front of their own fans rather than at the opposing team’s site. Having a sell-out crowd should provide even more excitement and lead to an even better performance, right? Well, consider the Oklahoma City Thunder, a National Basketball Association team, in its second season (2008–2009) after moving from Seattle. This team had a win-loss record that was actually worse for home games with a sell-out crowd (3 wins and 15 losses) than for home games without a sell-out crowd (12 wins and 11 losses).

Both variables appear to have something in common.

Explanatory: crowd/sale

Response: win/loss

There are two possible effects of crowd size to this game one might be due to pressure and nervousness from crowd size or

Another factor( variable) which is related to crowd size and the outcome of the match.

Step-by-step explanation:

Given data:

Home games with sell out crowd

Win = 3

Loss = 15

Total = 18

Home games without sell out crowd

Win = 12

Loss = 11

Total = 23

Therefore:

Percentage of win with sellout crowd

= 3/18 * 100

= 0.166 * 100

= 16.7%

Percentage of win with smaller crowd

= 12/23 * 100

= 0.522 * 100

= 52.2%

Both variables appear to have something in common.

Explanatory: crowd/sale

Response: win/loss

There are two possible effects of crowd size to this game one might be due to pressure and nervousness from crowd size or

Another factor( variable) which is related to crowd size and the outcome of the match.

idk bring the function back   im not smart

step-by-step explanation:

12*c

step-by-step explanation: