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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 b1
Fallacy Of Division
A logical fallacy that occurs when one assumes that something true of a whole must also be true of its parts.
Hasty Generalization
A logical fallacy where a conclusion is drawn from insufficient evidence or sample size.
Slippery Slope Fallacy
A logical fallacy suggesting that a relatively small first step will lead to a chain of related events culminating in some significant effect, often negative, without adequate evidence to support that outcome.
Undesirable Outcome
A result or consequence that is not wanted or is considered negative.
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