Multiple regression: Predictions based on equation
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ACCOUNTANTS AT THE FIRM WALKER AND WALKER BELIEVED THAT SEVERAL TRAVELING EXECUTIVES SUBMIT UNUSUALLY HIGH TRAVEL VOUCHERS WHEN THEY RETURN FROM BUSINESS TRIPS. THE ACCOUNTANTS TOOK A SAMPLE OF 200 VOUCHERS SUBMITTED FROM THE PAST YEAR: THEY THEN DEVELOPED THE FOLLOWING MULTIPLE REGRESSION EQUATION RELATING EXPECTED TRAVEL COST AT (Y) TO NUMBER OF DAYS ON THE ROAD (X) AND DISTANCE TRAVELED (X2) IN MILES:
Y=$90.00 + $48.50X1 + $0.40X2
THE COEFFICIENT CORRELATION COMPUTED WAS 0.68.
a) IF THOMAS WILLIAM RERUNS FROM 300 MILE TRIP THAT TOOK HIM OUT OF TOWN FOR FIVE DAYS, WHAT IS THE EXPECTED AMOUNT HE SHOULD CLAIM AS EXPENSES?
b) WILLIAMS SUBMITTED A REIMBURSEMENT REQUEST FOR $685; WHAT SHOULD THE ACCOUNTANT DO?
C) COMMENT O THE VALIDITY OF THIS MODEL, SHOULD ANY OTHER VARIABLES BE INCLUDED? WHICH ONE'S? WHY?
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This posting contains calculations for answering following questions based on the Multiple regression equation given in the question.
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ACCONTANTS AT THE FIRM WALKER AND WALKER BELIEVED THAT SEVERAL TRAVELLING ...
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