biddata - R = 1 Linear Comp1 bid Linear Regres-sion for...

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(All numbers in 000's) Our cost Comp1 bid 10 13 13.1 13.36 16.38 -0.1 -0.01 -0.03 -0.21 0.01 0.03 0.21 14 20 19.06 19.07 19.53 0.94 0.05 0.05 0.02 0.05 0.05 0.02 16 22 22.04 21.97 21.33 -0.04 0 0 0.03 0 0 0.03 18 25 25.01 24.89 23.29 -0.01 0 0 0.07 0 0 0.07 30 44 42.88 42.74 39.49 1.12 0.03 0.03 0.11 0.03 0.03 0.11 25 34 35.44 35.23 31.69 -1.44 -0.04 -0.04 0.07 0.04 0.04 0.07 38 56 54.79 54.89 56.15 1.21 0.02 0.02 0 0.02 0.02 0 44 63 63.73 64.1 73.11 -0.73 -0.01 -0.02 -0.14 0.01 0.02 0.14 24 33 33.95 33.74 30.33 -0.95 -0.03 -0.02 0.09 0.03 0.02 0.09 stdev 0.94 0.02 0.02 0.08 MAPE Linear prediction Power prediction Exponential prediction Actual Linear Error Linear %age error Power %age error Exponenti al %age error Linear abs %age error Power abs %age error Exponenti al %age error 5 10 15 20 25 30 35 40 45 50 0 20 40 60 80 f(x) = 1.49x - 1.79
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Unformatted text preview: R = 1 Linear Comp1 bid Linear Regres-sion for Comp1 bid Linear Regres-sion for Comp1 bid 5 10 15 20 25 30 35 40 45 50 10 20 30 40 50 60 70 f(x) = 1.17 x^1.06 R = 1 Power Comp1 bid Power Regres-sion for Comp1 bid 5 10 15 20 25 30 35 40 45 50 10 20 30 40 50 60 70 f(x) = 10.551.05^x R = 0.95 exponential Comp1 bid Exponential Re-gression for Comp1 bid A B C D E F G H I J K L 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47...
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