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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 b3.
Shortage
A situation in which the demand for a good or service exceeds its supply in a market.
Surplus
is an economic situation in which the quantity of a good supplied exceeds the quantity demanded at the current price, often leading to a decrease in prices.
Supply Determined
Refers to market situations where the quantity of products available in the market is primarily dictated by the supply side factors such as production capacity and inventory levels rather than by consumer demand.
Price Rationing
The process of distributing goods and services among consumers by setting a price level that balances demand with supply.
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