Accountants at the Tucson firm, Larry Youdelman CPAs 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 (X1) and distance traveled (X2) in miles:           ^y= $95.00 + $50.50x1+$0.40x2 The coefficient of correlation for the model is 0.72  a)  If Donna Battista returns from 300 mile trip that took her out of town for 6 days, the expected amount that she should claim as expense= $[__] (round your response to two decimal places)

Calculus For The Life Sciences
2nd Edition
ISBN:9780321964038
Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Chapter1: Functions
Section1.2: The Least Square Line
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Accountants at the Tucson firm, Larry Youdelman CPAs 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 (X1) and distance traveled (X2) in miles: 

         ^y= $95.00 + $50.50x1+$0.40x2

The coefficient of correlation for the model is 0.72 

a)  If Donna Battista returns from 300 mile trip that took her out of town for 6 days, the expected amount that she should claim as expense= $[__] (round your response to two decimal places)

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