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Your client has asked you to evaluate customers attending the games for a professional football team. The stadium is interested in increasing revenue. Based on the regression models and hypothesis tests learned in this topic and external references, discuss the specific type of data that could be collected from fans and used in a multiple regression model for NFL team revenue. Justify your selection by explaining how the data could be collected and why they are important. Be sure to state and refer to your reference.

Respuesta :

batolisis

Answer:

  • Number of spectators who leave the stadium before 180 minutes

This data would show if spectators only come to the stadium and stay until the end of the game when their favorite teams are playing

  • Number of customers/spectators attending the last 100 matches

This data will help the stadium know the current trend ( either increasing of decreasing ) number of the spectators who visit the stadium

  • The data can be collected via the exit time entries at the exit gate of the stadium
  • history of ticket sold over the last 100 matches

we have to conduct a hypothesis test assuming that a spectator watches a match for more than 180 minutes with an assumed standard deviation

we can also use regression analysis and line of best fit to check for the trends

Step-by-step explanation:

Aim : The Aim of the stadium is Increasing revenue generated in the stadium and some of the ways to achieve such is by taking specific data as regards the customers/spectators who visit the stadium

The type of data that could be collected from the fans to be used in multiple regression model:

  • Number of spectators who leave the stadium before 180 minutes

This data would show if spectators only come to the stadium and stay until the end of the game when their favorite teams are playing

  • Number of customers/spectators attending the last 100 matches

This data will help the stadium know the current trend ( either increasing of decreasing ) number of the spectators who visit the stadium

How can the data be collected

  • The data can be collected via the exit time entries at the exit gate of the stadium
  • history of ticket sold over the last 100 matches

how to apply the data

we have to conduct a hypothesis test assuming that a spectator watches a match for more than 180 minutes with an assumed standard deviation

we can also use regression analysis and line of best fit to check for the trends

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