Table 11 Results of principal component analysis and multiple regression analysis of carbon emissions from domestic waste.
From: Carbon factor inventory and weight in rural communities: a case study of Linpan in western Sichuan
| Â | Â | E1 | E2 | E3 |
|---|---|---|---|---|
Principal component | 1 | 0.105 | 0.929 | 0.879 |
2 | 0.988 | −0.019 | 0.251 | |
Initial eigenvalue | 1 | 0.186 | 1.649 | 1.56 |
2 | 0.901 | −0.017 | 0.229 | |
Principal component standardization coefficient | 1 | 1.436 | ||
2 | 1.278 | |||
Standardized coefficients of final regression analysis | 1.419 | 2.346 | 2.533 | |
Standardized regression coefficient ranking | 3 | 2 | 1 | |
Mean value | 0.004 | 0.015 | 0.014 | |
Standard deviation | 0.004 | 0.02 | 0.022 | |
Final coefficient of multiple regression analysis | 366.086 | 116.318 | 117.026 | |
Original variable regression coefficient ranking | 1 | 3 | 2 | |
