Table 9 Results of principal component analysis and multiple regression analysis of household transportation equipment carbon emissions.
From: Carbon factor inventory and weight in rural communities: a case study of Linpan in western Sichuan
 |  | C1 | C2 | C3 |
---|---|---|---|---|
Principal component | 1 | −0.095 | 0.993 | 0.075 |
2 | −0.16 | 0.073 | 0.984 | |
3 | 0.983 | −0.092 | −0.16 | |
Initial eigenvalue | 1 | −0.1387 | 1.44978 | 0.1095 |
2 | −0.1384 | 0.063145 | 0.85116 | |
3 | 0.663525 | −0.0621 | −0.108 | |
Principal component standardization coefficient | 1 | 0.805 | ||
2 | 0.964 | |||
3 | 0.89 | |||
Standardized coefficients of final regression analysis | 0.381 | 0.804 | 0.784 | |
Standardized regression coefficient ranking | 3 | 1 | 2 | |
Mean value | 0.0682 | 0.0085 | 0.008 | |
Standard deviation | 0.0654 | 0.0122 | 0.0068 | |
Final coefficient of multiple regression analysis | 5.818 | 66.168 | 114.681 | |
Original variable regression coefficient ranking | 3 | 2 | 1 |