To find the residual of the data point (2, 15.27), we need to follow these steps:
- Calculate the predicted y-value using the regression equation \( Y = -0.694x + 17.22 \) for \( x = 2 \).
- Subtract the predicted y-value from the actual y-value (15.27) to find the residual.
Step 1: Calculate the predicted y-value
Using the equation: \[ Y = -0.694(2) + 17.22 \]
Calculating this: \[ Y = -1.388 + 17.22 = 15.832 \]
Step 2: Calculate the residual
The residual is calculated as follows: \[ \text{Residual} = \text{Actual y-value} - \text{Predicted y-value} \] \[ \text{Residual} = 15.27 - 15.832 \] \[ \text{Residual} = -0.562 \]
Rounding to the nearest thousandths: \[ \text{Residual} \approx -0.562 \]
Thus, the residual of the data point \( (2, 15.27) \) is -0.562.