Asked by Beniah Greene on Jun 15, 2024

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The relationship between the number of games won during one season by an NHL team and the average attendance at their home games is analyzed.A regression analysis to predict the average attendance from the number of games won gives the model  attendance ^=−2100+187\hat{\text { attendance }} = - 2100 + 187 attendance ^=2100+187 wins.Predict the average attendance of a team with 400 wins.Explain any possible problems with this prediction.

A) 13 people.There are other factors besides number of games won.
B) 72,700 people.A team doesn't play that many games and their arenas probably can't hold that many people.
C) 5380 people.There is no problem with this prediction.
D) 76,900 people.A team doesn't play that many games and their arenas probably can't hold that many people.
E) 74,800 people.It is only an estimate.

Regression Analysis

A statistical method for examining the relationship between a dependent variable and one or more independent variables.

Average Attendance

The mean number of individuals present at a series of events or over a period of time.

NHL Team

a professional ice hockey team that is a member of the National Hockey League.

  • Implement regression analysis for prediction of outcomes within real-life settings.
  • Analyze whether a linear model is appropriate for certain datasets.
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BD
Bobbie DavenportJun 17, 2024
Final Answer :
B
Explanation :
The prediction formula is  attendance ^=−2100+187×wins\hat{\text { attendance }} = - 2100 + 187 \times \text{wins} attendance ^=2100+187×wins . For 400 wins, the predicted attendance is −2100+187×400=74800-2100 + 187 \times 400 = 748002100+187×400=74800 . However, an NHL team plays far fewer than 400 games in a season, making this scenario unrealistic. Additionally, most arenas cannot accommodate 74,800 people, indicating the prediction extends beyond the model's valid range.