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The management of a professional baseball team is in the process of determining the budget for next year.A major component of future revenue is attendance at the home games.In order to predict attendance at home games,the team statistician has used a multiple regression model with dummy variables.The model is of the form y = β0 + β1x1 + β2x2 + β3x3 + ε,where:
y = attendance at a home game.
x1 = current power rating of the team on a scale from 0 to 100 before the game.
x2 and x3 are dummy variables,and they are defined below.
x2 = 1,if weekend,
x2 = 0,otherwise.
x3 = 1,if weather is favorable,
x3 = 0,otherwise.
After collecting the data,based on 30 games from last year,and implementing the above stated multiple regression model,the team statistician obtained the following least squares multiple regression equation:
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Data that has been processed, organized, or structured in a way that adds context or meaning, making it useful for decision-making.
Local Unemployment
The percentage of the workforce that is not employed within a specific geographical area.
National Unemployment
The percentage of the labor force that is unable to find employment, considered an important indicator of the economic health of a country.
Average Age
The mean age of a specific group or population, calculated by dividing the sum of individual ages by the number of individuals.
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