Vouchers when they returned from business trips

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Reference no: EM132301510

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 1?) and distance travelled ?(x 2?) in? kilometres: ModifyingAbove y with caretequals?$85.00plus?$46.50x 1plus?$0.45x 2. The coefficient of correlation computed was 0.68. ?a) If Wanda Fennell returns from a 320?-kilometres trip that took her out of town for 6 ?days, the expected amount that she should claim as expensesequals?$ 256.9 ?(round your response to two decimal? places). ?b) Fennell submitted a reimbursement request for ?$785. What should the accountant? do? After the 320?-kilometres and 6?-day ?trip, Fennell submitted a reimbursement request for ?$785?, which is different than the predicted value. The accountant should not question question not question the voucher as the request is within expectations within expectations much higher than expected . ?c) Should any other variables be? included? Which? ones? Why? Additional variables that could be included in the model are ?(select the choice that has the factor 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 modelequals 0?% ?(round your response to two decimal ?places)?, which suggests that the model is not particularly a good one not particularly a good one particularly a good one .

Reference no: EM132301510

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