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ANALYSIS OF RESULTS AND SUMMARY OF FINDINGS
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1.00 0.90 0.80 0.70 0.60 R2 0.50 0.40 0.30 0.20 0.10 0.00 MLM FDM WDM GOV FBM MIN CHM EDU PPM RST AUT HTL RTL FDS MED CON ARG TRM ELM REC ISO 14001 Cost Employee
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20 Waste groups
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Figure 16.7 Coef cient of determination (R 2) analysis for all in uential variables (number of employees, land ll disposal cost, and ISO 14001 certi cation).
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Regression coefficient for the number of employees
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20.00 18.00 16.00 14.00 12.00 10.00 8.00 6.00 4.00 2.00 0.00 WDM MLM FBM FDM CHM PPM RST MIN CON TRM FDR ELM HTL REC ARG MED RTL AUT GOV EDU 20 Waste groups
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Figure 16.8 Waste group regression coef cient comparison for the number of employees.
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SOLID WASTE ESTIMATION AND PREDICTION
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Regression coefficient for landfill disposal costs ($/ton)
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9 8 7 6 5 4 3 2 1 0 AUT RTL FDS MED CON CON WDM CHM MLM PPM GOV ARG ARG EDU FDM FBM TRM REC REC ELM RST HTL HTL MIN Landfill disposal cost is insignifcant in predicting annual solid waste generation at the 95% confidence level for these groups
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Figure 16.9 Waste group regression coef cient comparison for land ll disposal cost ($/ton).
In all waste groups, the number of employees was the most significant variable to predict annual waste generation. This is logical, because the number of employees should have a high correlation to the on size of a company direct impact on annual waste generation tonnages. The more employees working at a company, the more waste the company generates. The results of the regression
250 Regression coefficient for ISO 14001 certification
100 ISO 14001 Certification is insignificant in predicting annual solid waste generation at the 95% confidence level for these groups AUT WDM MLM FDM CHM PPM FBM ELM TRM EDU RST RTL MIN FDS MED GOV
20 Waste groups
Figure 16.10 Waste group regression coef cient comparison for ISO 14001 certi cation.
ANALYSIS OF RESULTS AND SUMMARY OF FINDINGS
TABLE 16.4 RANKING AND COMPARISON OF SIGNIFICANT VARIABLES TO PREDICT SOLID WASTE BASED ON STANDARDIZED REGRESSION COEFFICIENT MAGNITUDE FOR THE NUMBER OF EMPLOYEES STANDARDIZED REGRESSION COEFFICIENT FOR THE NUMBER OF EMPLOYEES
WASTE GROUP
FBM WDM CHM MLM PPM FDM TRM ELM GOV EDU RST AUT HTL RTL FDS MED ARG CON REC
1.32 1.26 1.20 1.16 1.16 1.12 1.03 0.97 0.93 0.92 0.91 0.91 0.91 0.90 0.90 0.89 0.89 0.89 0.88
analysis reflected this fact. In order to compare the quantities of solid waste generated by the 20 remaining waste groups, the average solid waste per company in each of the 20 waste groups was calculated. This was completed to gain additional insights into waste generation and to identify trends. Table 16.7 displays the regression coefficients for the number of employees and the average waste generated per company. The graph in Fig. 16.11 displays the relationship between average annual solid waste generation per company for each waste group and the employee regression coefficient.
SOLID WASTE ESTIMATION AND PREDICTION
TABLE 16.5 RANKING AND COMPARISON OF SIGNIFICANT VARIABLES TO PREDICT SOLID WASTE BASED ON STANDARDIZED REGRESSION COEFFICIENT MAGNITUDE FOR LANDFILL DISPOSAL COST STANDARDIZED REGRESSION COEFFICIENT FOR LANDFILL DISPOSAL COST ($/TON)
WASTE GROUP
MLM FBM WDM CHM PPM ELM FDM TRM GOV EDU RST AUT HTL RTL FDS MED ARG CON REC
1.31 0.29 0.22 0.13 0.12 0.08 0.07 0.01 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
For 12 of the 20 waste groups the number of employees alone was the only dominate variable to predict annual solid waste. These waste groups are listed below:
1 2 3 4 5 6
Restaurants Mining Food stores Medical services Hotels Construction
ANALYSIS OF RESULTS AND SUMMARY OF FINDINGS
TABLE 16.6 RANKING AND COMPARISON OF SIGNIFICANT VARIABLES TO PREDICT SOLID WASTE BASED ON STANDARDIZED REGRESSION COEFFICIENT MAGNITUDE FOR ISO 14001 CERTIFICATION STANDARDIZED REGRESSION COEFFICIENT FOR ISO 14001 CERT.
WASTE GROUP
CHM ELM FBM WDM FDM PPM MLM TRM GOV EDU RST AUT HTL RTL FDS MED ARG CON REC
0.12 0.12 0.11 0.11 0.11 0.09 0.08 0.04 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
7 8 9 10 11 12
Education Recreation and museums Retail and wholesale Automotive sales, service, and repair Agriculture Commercial and government
These 12 waste groups were primarily service oriented (nonmanufacturing) and generated less average waste per company than the 8 manufacturing waste groups that required more variables to predict waste. The 12 nonmanufacturing waste groups generated primarily of ce waste such as papers and food waste. These waste components are
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