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

question 40

Multiple Choice

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:
\quad \quad \quad \quad \quad \quad \quad \quad \quad \quad \quad \quad \quad \quad Parameter Estimates\text{Parameter Estimates}
 PARAMETER  STANDARD  T FOR 0:  VARIABLE  DF  ESTIMATE  ERROR  PARAMETER = 0  PROB > |T|  INTERCEPT 1114.42097218.68487446.1240.0001 X1 10.0071020.001713754.1440.0007 X2 10.0372900.020439371.8240.0857\begin{array} { l r r r r r } & & \text { PARAMETER } & \text { STANDARD } & \text { T FOR 0: } & \\ \text { VARIABLE } & \text { DF } & \text { ESTIMATE } & \text { ERROR } & \text { PARAMETER = 0 } & \text { PROB > |T| } \\ & & & & & \\ \text { INTERCEPT } & 1 & 114.420972 & 18.6848744 & 6.124 & 0.0001 \\ \text { X1 } & 1 & - 0.007102 & 0.00171375 & - 4.144 & 0.0007 \\ \text { X2 } & 1 & 0.037290 & 0.02043937 & 1.824 & 0.0857 \end{array}
Calculate a 95%95 \% confidence interval for β1\beta _ { 1 } .


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