To find the residual of a data point, you need to know the predicted value from a regression equation (or some model) at the given x value, and then subtract that predicted value from the actual value of the point.
The residual can be calculated using the formula:
\[ \text{Residual} = \text{Actual value} - \text{Predicted value} \]
In your case, you mentioned the data point (2, 15.27), where \(x = 2\) and the actual value (dependent variable) is \(y = 15.27\). However, I don't have the regression equation or any model specified to calculate the predicted value at \(x = 2\).
If you provide the equation of the line or model used for prediction, I can calculate the predicted value and, consequently, the residual.