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 (x1) and the number of checks cashed per day (x2). Data collected for n = 20 working days were used to fit the model: E(y)=β0+β1x1+β2x2
A printout for the analysis follows:
Analysis of Variance
SOURCE DF SS MS FVALUE PROB >F
MODEL ERROR C TOTAL 217197089.065124541.7214211630.786543544.53256267.1600813.2670.0003
Parameter Estimates
VARIABLE DF PARAMETER ESTIMATE STANDARD ERROR TFOR 0: PARAMETER =0 PROB >∣T∣
INTERCEPT X1 X2 111114.420972−0.0071020.03729018.684857440.001713750.020439376.124−4.1441.8240.00010.00070.0857
OBS 1 X1 7781 X2 644 Actual Value 74.707Predict Value 83.175 Residual −8.468Lower 95 % CL Predict 47.224 Upper 95 % CL Predict 119.126
Test to determine if there is a positive linear relationship between the number of man-hours worked, y , and the number of checks cashed per day, x2 . Use α=.05 .
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