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In Any Production Process in Which One or More Workers (y)( y )

question 7

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In any production process in which one or more workers are engaged in a variety of tasks, the total time spent in production varies as a function of the size of the workpool and the level of output of the various activities. In a large metropolitan department store, it is believed that the number of man-hours worked (y) ( y ) per day by the clerical staff depends on the number of pieces of mail processed per day (x1) \left( x _ { 1 } \right) and the number of checks cashed per day (x2) \left( x _ { 2 } \right) . Data collected for n=20n = 20 working days were used to fit the model:
E(y) =β0+β1x1+β2x2E ( y ) = \beta _ { 0 } + \beta _ { 1 } x _ { 1 } + \beta _ { 2 } x _ { 2 }
A partial printout for the analysis follows:

 In any production process in which one or more workers are engaged in a variety of tasks, the total time spent in production varies as a function of the size of the workpool and the level of output of the various activities. In a large metropolitan department store, it is believed that the number of man-hours worked  ( y )   per day by the clerical staff depends on the number of pieces of mail processed per day  \left( x _ { 1 } \right)   and the number of checks cashed per day  \left( x _ { 2 } \right)  . Data collected for  n = 20  working days were used to fit the model:  E ( y )  = \beta _ { 0 } + \beta _ { 1 } x _ { 1 } + \beta _ { 2 } x _ { 2 }  A partial printout for the analysis follows:     Calculate a  95 \%  confidence interval for  \beta _ { 1 } . A)   - 4.144 \pm .0007  B)   - .007 \pm .0007  C)   - .007 \pm .0017  D)   - .007 \pm .0036

Calculate a 95%95 \% confidence interval for β1\beta _ { 1 } .

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