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Six Sigma Lean Master Black Belt Certification Questions Part 1
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Question : 29
Total: 40
In analyzing some data, you first try multiple linear regression with all the factors and with interactions (example: Factor A times Factor B is interaction AB)
You obtain a multiple regression equation of the form:
Response = 15 + .13 A - .30 B - .02 C - .00001 AB + .0000004 AC - .00000013 BC +.000000 ABC.
The p-values for most of the factors and interactions are between 0 and .05, except interactions BC and ABC, which have p-values between .4 and .9.
Which of the following approaches might be appropriate to simplify the equation?
Drop all factors with negative coefficients.
Drop factors BC and ABC and rerun the multiple linear regression.
Drop factors B and C and rerun the multiple linear regression.
Drop factors B and C and rerun the multiple linear regression.
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