Let's go through the process of finding the residual step by step based on the example given.
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Substitute the point's x-value (ticket price) into the equation to find the predicted value of y (attendance).
The regression line modeling ticket sales is given by the equation: \[ y = -5.9x + 170.85 \] For a ticket price of $5 (where \(x = 5\)): \[ y = -5.9(5) + 170.85 \] \[ y = -29.5 + 170.85 \] \[ y = 141.35 \]
So, the predicted attendance when the ticket price is $5 is 141.35.
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Subtract the predicted value of y from the actual value of y to find the residual.
The actual attendance is given as 160.
To find the residual: \[ \text{Residual} = \text{Actual attendance} - \text{Predicted attendance} \] \[ \text{Residual} = 160 - 141.35 \] \[ \text{Residual} = 18.65 \]
So, the residual is 18.65.
Summary:
- Predicted attendance when ticket price is $5: 141.35
- Actual attendance: 160
- Residual: 18.65