4-17c(2). 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 sook a sample of 200 voochers submitted from the past year; they then developed the following multiple regression equation relating expected travel cost (Y) to num

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4-17c(2). 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 sook a sample of 200 voochers submitted from the past year; they then developed the following multiple regression equation relating expected travel cost

(Y)

to number of days on the road

(x_(1))

and distance traveled

(x_(2))

in miles:

hat(\gamma )=590 548.5x_(1) 5.40x_(2)

The coefficient of correlation computed was 0.68 . c(2). What percentage of variability in the cost of the trip is NOT explained by this model?

◻

.82 .46 .54 .23

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