Since the effect estimates are given as A = 40, B = 36, C = 50 and AC = 28, the regression equation will be:
= 1500 + 40 x1 + 36 x2 + 50 x3 + 28 x1 x3
Option C is correct.
e is molecular weight. The engineer has used the following four factors cated 24 factorial experiment...
1. An engineer is interested in the effects of cutting speed (A), tool geometry (B), and cutting angle (C) on the life (in hours) of a machine tool. Two levels of each factor are chosen, and three replicates of a 23 factorial design are run. The results are as follows: Treatment Replicate A B CCombinationI 22 31 32 43 35 34 55 47 44 45 40 37 60 50 54 39 41 25 29 50 46 38 36 ac bc...
Two levels of each factor are chosen, and three replicates of a 23 factorial design are run. The results are as follows: Treatment Replicate ABCCombination I II III (1) 22 31 25 a 32 43 29 b 35 34 50 ab 55 47 46 c 44 45 38 ac 40 37 36 bc 60 50 54 abc 39 41 47. Several times we have used the hierarchy principle in selecting a model; that is, we have included nonsignificant lower order...
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