Table 3. Results of stepwise multiple linear regression.
MCs | Fitting equation | Correlation coefficient R | Adjusted R2 | Tolerance | VIF | Model fitting | Partial regression coefficient test | D–W statistic | |
---|---|---|---|---|---|---|---|---|---|
F | P | ||||||||
TMCs | y = 116.848 + 46.449χ3 | 0.581 | 0.337 | 1 | 1 | 44.792 | <0.001 | χ3(t = 6.693, P < 0.001) | 1.979 |
y = 805.526 + 42.979χ3 − 92.886χ2 | 0.716 | 0.513 | 0.989 | 1.001 | 45.87 | <0.001 | χ3(t = 7.148, P < 0.001) | ||
χ2(t = −5.608, P < 0.001) | |||||||||
y = 538.069 + 35.557χ3 − 75.968χ2 + 6.452χ1 | 0.741 | 0.549 | 0.693 | 1.443 | 34.938 | <0.001 | χ3(t = 5.495, P < 0.001) | ||
χ2(t = −4.396, P < 0.001) | |||||||||
χ1(t = 2.622, P = 0.01) | |||||||||
TMC-RR | y = 799.874 − 99.263χ2 | 0.718 | 0.515 | 1 | 1 | 93.396 | <0.001 | χ2(t = −9.664, P < 0.001) | 1.828 |
y = 825.53 − 101.047χ2 − 35.61χ4 | 0.738 | 0.544 | 0.994 | 1.006 | 51.98 | <0.001 | χ2(t = −10.066, P < 0.001) | ||
χ4(t = −2.375, P = 0.02) | |||||||||
y = 676.095 − 91.169χ2 − 39.668χ4 + 3.42χ1 | 0.759 | 0.576 | 0.846 | 1.181 | 38.908 | <0.001 | χ2(t = −8.682, P < 0.001) | ||
χ4(t = −2.709, P < 0.001) | |||||||||
χ1(t = 2.522, P = 0.014) | |||||||||
TMC-YR | y = 1.54 − 0.013χ7 | 0.268 | 0.072 | 1 | 1 | 6.83 | 0.011 | χ3(t = −2.613, P = 0.011) | 2.299 |
TMC-LR | y = 11.216 + 41.829χ3 | 0.806 | 0.650 | 1 | 1 | 163.585 | <0.001 | χ3(t = 12.79, P < 0.001) | 1.461 |
y = 63.349 + 32.481χ3 − 6.653χ6 | 0.848 | 0.718 | 0.678 | 1.476 | 111.004 | <0.001 | χ3(t = 9.06, P < 0.001) | ||
χ6(t = −4.592 P < 0.001) |
Note:
The fitting result of TMC-YR after lg10 conversion; D–W statistic (Durbin–Watson statistic); Variance Inflation Factor (VIF).