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A college football team has developed a multiple regression model to predict attendance (y) at its outdoor football games based upon three variables:

A college football team has developed a multiple regression model to predict attendance-example-1

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The predicted attendance for a game where the home team has won 80% of their games, the opponent has won 60% of their games, and the temperature is 30 degrees is 24,736.

To predict attendance using the fitted regression equation, we need to plug in the values for the three independent variables:

Team Winning Percent (x1) = 80%

Opponent Winning Percent (x2) = 60%

Temperature (x3) = 30 degrees

Predicted Attendance = 14122.24 + 63.15 * 80% + 10.10 * 60% - 55.46 * 30 degrees

Predicted Attendance = 24736

Therefore, the predicted attendance for a game where the home team has won 80% of their games, the opponent has won 60% of their games, and the temperature is 30 degrees is 24,736.

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