first box (question or not)

second box(with expectation/ much higher than expected)

third box (particularly a good one/ not a good one)

a Accountants at the firm Michael Vest, Chartered Accountants, believed that several traveling executives were submitting unusually high travel vouchers when they returned from business trips. First, they took a sample of 200 vouchers submitted from the past year. Then they developed the following multiple-regression equation relating expected travel cost to number of days on the road (x) and distance travelled (x) in kilometres: = $90.00 + $48.50x4 + $0.40x2 The coefficient of correlation computed was 0.68. a) I Wanda Fennell returns from a 300-kilometres trip that took her out of town for 5 days, the expected amount that she should claim as expenses = $round your response to two decimal places). b) Fennell submitted a reimbursement request for $685. What should the accountant do? After the 300-kilometres and 5-day trip, Fennell submitted a reimbursement request for $685, which in different than the predicted value. The accountant should the voucher as the request is c) Should any other variables be included? Which ones? Additional variables that could be included in the model are (select the choice that has the factor you would consider) O A. Type of travel (air/car) B. Dress code (formal/business casual) OC. 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 decimal places), which suggests that the model is