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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's 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.
x2and x3are dummy variables,and they are defined below.
x2= 1,if weekend
x2= 0,otherwise
x3= 1,if weather is favourable
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: The multiple regression compute output also indicated the following:
-Interpret the estimated model coefficient b2.
Budgeted Cost
The estimated financial cost anticipated for a specific period, project, or operation, often used in planning and decision-making.
Cash Disbursements
Money paid out by a business during a period, including expenses, dividend payments, and investments.
Budgeted Production
The planned level of production output, defined through the budgeting process for a specific period, aiming to meet forecasted demand.
Raw Materials
The initial inputs or primary components used in manufacturing processes to create finished goods.
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