distance traveled $(x_2)$ in miles:

hat$(y)=$$$85\mathrm{.}00+$$$46\mathrm{.}50x_1+$$$0\mathrm{.}45x_2$

The coefficient of correlation for the model is $0\mathrm{.}64.$

b$)$ After the $340-$mile and $6-$day trip, Battista submitted a reimbursement request for $$785,$ which is different than the predicted value. The accountant should the voucher as the request is much higher than expected $.$

c$)$ Additional variables that could be included in the model are $($select the choice that has all the factors you would consider$)$:

A$.$ Type of travel $($air$/$car$)$

B$.$ Dress code $($formal$/$business casual$)$

C$.$ Gender of the executive $($male$/$female$)$

The percentage of variation in the trip cost that can be explained by the model $=\%($round your response to two decial places$),$ which suggests that the model is