Page 15 - Industrial Process Plant Construction Estimating and Man Hour Analysis
P. 15

xxx Introduction



               Illustrative example of regression analysis and correlation of data for
            generating bank tube installation… Verify and clarify man-hour table

            Foreman’s Report

            Project: Waste Heat Boiler, Generating Bank Tube Installation
            Foreman: John Smith                       Date: June 00, 0000
            Craft: Boilermaker
            Craft: Boilermaker
            Cost code                           Phase code description  QTY  MH
            Generating bank tubes
            2-1/2 OD 0.203 wall thickness, swage, and
                00
                         00
            roll
            Install generating tubes            000000            2629  0.50
                00
            2 1/2 Ends—expand tubes in steam and mud  000000      5258  0.44
             0
            drums
               Data for Input; Man-Hours for field erection for generating bank tube
            installation
               Quantity (y): R 1 ¼2629, 5258
               Man-Hour (x):R 2 ¼0.50, 0.44




              TABLE 1 Linear regression: fitting a straight line
                                                        MH/EA         Qty
              Description                               X             y
              Generating bank tubes
              2-1/2 OD 0.203 Wall thickness, swage, and roll
                           00
                  00
              Install generating tubes                  0.50          2629
              2 1/2 Ends—expand tubes in steam and mud drums  0.44    5258
               0
                  00
              Covar (R 1 and R 2 )                       39.44
              Varp (R 2 )                               0.00
              Slope (R 1 and R 2 )                       43816.67
              Intercept (R 1 and R 2 )                  24537.33
              Correl (R 1 and R 2 )¼correlation coefficient   1.0000
              Correl (R 1 and R 2 )^2¼coefficient determination  1.0000
   10   11   12   13   14   15   16   17   18   19   20