Page 264 - Industrial Process Plant Construction Estimating and Man Hour Analysis
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Statistical applications to construction Chapter  12 243


                      0.80
                            y = 0.025x + 2E-16
                      0.60       R  = 1
                                  2
                     MH/EA  0.40                            Series1
                      0.20                                  Linear (Series1)
                      0.00
                         0       10       20       30       Linear (Series1)
                                Pipe diameter (in.)
             FIG. 12.3.3 Install underground drainage pipe.
                                           2
                 The coefficient of determination, R , is exactly +1 and indicates a positive fit
               (Fig. 12.3.3).
                 All data points lie exactly on the straight line. The relationship between X and Y
               variables is such that as X increases, Y also increases.


               Example 12.3.4
               Plot a graph for handle valves by weight class (Table 12.3.4)
                 Work scope: Handle valves by weight class
                 Facility—diesel power plant
                 Data for input:
                 x: 2, 2.5, 3, 4, 6, 8, 10, 12, 14, 16, 18, 20, and 24
                 y: 1.80, 1.25, 2.70, 3.60, 5.40, 7.20, 9.00, 10.80, 12.60, 14.40, 16.20, 18.00,
               and 21.60


                           TABLE 12.3.4 Handle valves by weight class
                           x                 y
                           Pipe              MH/EA
                           Size              600#/900#
                           2                 1.80
                           2.5               2.25
                           3                 2.70
                           4                 3.60
                           6                 5.40
                           8                 7.20
                           10                9.00
                           12                10.80
                           14                12.60
                           16                14.40
                           18                16.20
                           20                18.00
                           24                21.60
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