Probability Methods for Cost Uncertainty Analysis, 2nd Edition

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A B C D E F G

1 Number of Program Data Points n = 69 Regression Model Form

2 Number of Regression Constants m = 3

L

y(w) = aw

b

(i

c

)

3 Degrees of Freedom n − m = 66

i=F

4 Lot Lot Weight, First unit Last unit Observed Estimated lost cost, Multiplicative

Num., i ID lbs, w Number, F Number, L Lot Cost, y Regression Model Error

5 1 A1 985 1 37 108,675.81 36,445.00 1.9819

6 2 A2 985 38 63 58,512.61 25,610.00 1.2848

. . . . . . . . .

. . . . . . . . .

. . . . . . . . .

72 68 H9 510 4408 5307 114,181.30 459,000.00 −0.7512

73 69 H10 510 5308 6451 127,010.39 583,440.00 −0.7823

74 Starter Values ...