Answer:
The resulting residual value is e=-40.24.
Explanation:
The residual value e for a regression model is defined as the difference between the real value y and the predicted value yp:
![e=y-y_p](https://img.qammunity.org/2021/formulas/mathematics/college/96e1rxo5wyafn0v4b43ei5kwaz1q33huh1.png)
The predicted value for DISTANCE=0.43 miles is:
![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\\\\](https://img.qammunity.org/2021/formulas/mathematics/college/qo419f8pna8rr82v9ra0fejjwbnpje2nd0.png)
Then, if the real value is $1,050, the residual value is calculated as:
![e=y-y_p\\\\e=1050-1090.2422=-40.2422](https://img.qammunity.org/2021/formulas/mathematics/college/fbk1nkkit5pjuh69sgemvliw08x7fzir32.png)