Page 297 - Solid Waste Analysis and Minimization a Systems Approach
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P Value  0.000  0.000  0.000  0.000  0.000  0.000  0.000  0.017  0.000  0.000  0.000  0.002  0.001  0.000  0.000  0.000  0.000  0.000  0.001  0.000



             F  Critical  4.75  4.23  3.49  3.92  4.35  5.59  3.86  5.79  5.32  5.99  4.67  4.76  7.71  3.71  4.67  4.75  4.04  3.86  3.71  3.71



             F  Statistic  41.38  122.06  21.10  749.43  71.48  31.50  33.52  12.35  29.84  22.39  47.11  18.86  17.00  16.35  42.55  53.71  2173.42  17.63  12.29  25.06

             Adjusted  R 2  0.80            0.76   0.83           0.86     0.78            0.81   0.72   0.85




               R 2  0.79  0.83  0.84  0.86  0.79  0.84  0.78  0.90  0.81  0.82  0.80  0.90  0.85  0.83  0.78  0.83  0.81  0.85  0.79  0.88

               Partial R 2  x 1  = 0.51  x 2  = 0.14  x 3  = 0.19  x 1  = 0.59  x 2  = 0.04  x 3  = 0.15  x 1  = 0.50  x 2  = 0.19  x 3  = 0.21  x 1  = 0.60  x 2  = 0.20  x 3  = 0.10  x 1  = 0.58  x 2  = 0.15  x 3  = 0.10  x 1  = 0.56  x 2  = 0.20  x 3  = 0.09  x 1  = 0.58  x 2  = 0.11  x 3  = 0.10  x 1  = 0.65  x 2  = 0.15  x 3  = 0.08




               P Value  x 1  = 0.000  x 2  = 0.011  x 3  = 0.005  x 1  = 0.000  x 2  = 0.033  x 3  = 0.000  x 1  = 0.011  x 2  = 0.046   x 3  = 0.044  x 1  = 0.003  x 2  = 0.022  x 3  = 0.045  x 1  = 0.001  x 2  = 0.024  x 3  = 0.033  x 1  = 0.000  x 2  = 0.008  x 3  = 0.042  x 1  = 0.000  x 2  = 0.029  x 3  = 0.040  x 1  = 0.000  x 2  = 0.004  x 3  = 0.014



               t Critical   2.18            2.26   2.57           2.48     2.23            2.26   2.23   2.23 Stepwise regression results for the 20 waste groups (significant variables that influence solid waste


               t Statistic  x 1  = 5.46  x 2  = –3.02  x 3  = –3.47  x 1  =8.67  x 2  = –2.27  x 3  = –4.51  x 1  = 4.53  x 2  = –2.85  x 3  = –2.89  x 1  = 4.81  x 2  = –3.08  x 3  = –2.52  x 1  = 4.83  x 2  = –2.65  x 3  = –2.48  x 1  = 5.88  x 2  = –3.38  x 3  = –2.36  x 1  = 5.06  x 2  = –2.54  x 3  = –2.36  x 1  = 6.99  x 2  = –3.73  x 3  = –2.99






               Model

               Regression  1.29x 1  – 0.27  0.51x 1  + 6.48  7.14x 1  – 3.49x 2  –140.4x 3  +   371.10  0.43x 1  – 0.94  3.54x 1  + 11.81  0.25x 1  + 35.68  2.29x 1  – 0.83x 2  – 56.31x 3  +  126.63  7.19x 1  – 5.17x 2  – 183.5x 3  +  577.16  2.71x 1  + 8.27  2.01x 1  + 4.05  0.98x 1  + 21.64  8.21x 1  – 7.51x 2  – 214.93x 3  +  756.46  5.21x 1  +19.8  6.63x 1  – 3.51x 2  – 114.82x 3  +  340.27  1.87x 1  – 0.41  5.91x 1  + 19.87  0.78x 1  +2.27  7.29x 1  – 3.78x 2  – 92.36x 3  +  40.







               Indicators  x 1  = # employees  x 1  = # employees  x 1  = # employees  x 2  = disposal $/ton   x 3  = ISO14001cert.  x 1  = # employees  x 1  = # employees  x 1  = # employees  x 1  = # employees  x 2  = disposal $/ton   x 3  = ISO14001cert.  x 1  = # employees  x 2  = disposal $/ton   x 3  = ISO14001cert.  x 1  = # employees  x 1  = # employees  x 1  = # employees  x 1  = # employees  x 2  = disposal $/ton   x 3  = ISO14001cert.  x 1  = # employees  x 1  = # employee






             Number of  Companies  13  27  16  124  21  8  32  8  9  7  14  10  6  14  14  13  53  13  14  14





               Waste Group  Agriculture  Automotive sales,  service, and repair  Chemical and rubber   manufacturers  Commercial and   government  Construction  Education  Electronic  manufacturers  Food manufacturers  Food stores  Hotels  Medical services  Metal manufacturers  Mining  Paper manufacturers  and printers  Recreation and   museums  Restaurants  Retail and wholesale  Textile and fabric  manufacturers  Transportation   equipment  manufacturers  Wood and lumber  manufactur











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