Answer:
The resulting residual value is e=-40.24.
Step-by-step explanation:
The residual value e for a regression model is defined as the difference between the real value y and the predicted value yp:
[tex]e=y-y_p[/tex]
The predicted value for DISTANCE=0.43 miles is:
[tex]RENT = 1200.4326 - 256.2567\cdot DISTANCE\\\\RENT(0.43) = 1200.4326 - 256.2567\cdot 0.43\\\\RENT(0.43) = 1200.4326 - 110.1904=1090.2422\\\\[/tex]
Then, if the real value is $1,050, the residual value is calculated as:
[tex]e=y-y_p\\\\e=1050-1090.2422=-40.2422[/tex]