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Operations Managers Often Use Work Sampling to Estimate How Much

question 119

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Operations managers often use work sampling to estimate how much time workers spend on each operation. Work sampling-which involves observing workers at random points in time-was
Applied to the staff of the catalog sales department of a clothing manufacturer. The department
Applied regression to the following data collected for 40 consecutive working days:  Operations managers often use work sampling to estimate how much time workers spend on each operation. Work sampling-which involves observing workers at random points in time-was Applied to the staff of the catalog sales department of a clothing manufacturer. The department Applied regression to the following data collected for 40 consecutive working days:    Consider the following 2 models:  Model 1:  E ( \mathrm { y } )  = \beta _ { 0 } + \beta _ { 1 } x _ { 1 } + \beta _ { 2 } \left( \mathrm { x } _ { 1 } \right)  ^ { 2 } + \beta _ { 3 } x _ { 2 } + \beta _ { 4 } x _ { 1 } x _ { 2 } + \beta _ { 5 } \left( x _ { 1 } \right)  ^ { 2 } x _ { 2 }  Model 2:  E ( \mathrm { y } )  = \beta _ { 0 } + \beta _ { 1 } x _ { 1 } + \beta _ { 3 } x _ { 2 }  What strategy should you employ to decide which of the two models, the higher-order model or the simple linear model, is better?  A)  Compare the two models with a nested model  F -test, i.e., test the null hypothesis,  H _ { 0 } : \beta _ { 2 } =   \beta _ { 4 } = \beta _ { 5 } = 0 . B)  Always choose the more parsimonious of the two models, i.e., the model with the fewest number of  \beta -coefficients. C)  Compare  R ^ { 2 }  values; the model with the larger  R ^ { 2 }  will always be the better model. D)  Compare the two models with a t-test, i.e., test the null hypothesis,  H _ { 0 } : \beta _ { 1 } = 0 .

Consider the following 2 models:

Model 1: E(y) =β0+β1x1+β2(x1) 2+β3x2+β4x1x2+β5(x1) 2x2E ( \mathrm { y } ) = \beta _ { 0 } + \beta _ { 1 } x _ { 1 } + \beta _ { 2 } \left( \mathrm { x } _ { 1 } \right) ^ { 2 } + \beta _ { 3 } x _ { 2 } + \beta _ { 4 } x _ { 1 } x _ { 2 } + \beta _ { 5 } \left( x _ { 1 } \right) ^ { 2 } x _ { 2 }
Model 2: E(y) =β0+β1x1+β3x2E ( \mathrm { y } ) = \beta _ { 0 } + \beta _ { 1 } x _ { 1 } + \beta _ { 3 } x _ { 2 }
What strategy should you employ to decide which of the two models, the higher-order model or the simple linear model, is better?


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A financial instrument containing a written promise by one party to pay another a definite sum of money either on demand or at a specified future date.

Negotiable

Capable of being transferred or assigned from one party to another, often used in the context of financial instruments.

Nonexistent Person

A fictional or imagined individual who does not exist in reality.

Negotiable

Capable of being transferred or converted into goods, services, or money under terms agreeable to all parties involved.

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