Joe sells used cars. He recorded the age (in years) of each car on his lot along with the number of kilometers it had been driven. After plotting his results, Joe noticed that the relationship between the two variables was fairly linear, so he used the data to calculate the following least squares regression equation for predicting distance driven from the age of the car:
\[\hat{y} = 11{,}000+18{,}000x\]
What is the residual of a car that is
\[2\] years old and has been driven
\[50{,}000\text{ km}\]?