Table 3 Multimodel inference results showing sums of the Akaike weights (SWs), model-averaged coefficients and adjusted standard errors of the predictor groups for the number of songs related to family.
Area | Variables | SW | Estimate coefficients | SE | Z value |
|---|---|---|---|---|---|
Jiangsu | (Intercept) | - | −0.12 | 1.64 | 0.07 |
Farmland | 1.00 | 19.25 | 3.54 | 5.44*** | |
Urban area | 0.72 | 5.23 | 4.56 | 1.15 | |
Woodland | 1.00 | 12.29 | 3.57 | 3.44*** | |
Wetland | 0.57 | 3.21 | 3.97 | 0.81 | |
Anhui | (Intercept) | - | 0.45 | 1.18 | 0.38 |
Farmland | 1.00 | 6.33 | 1.84 | 3.43*** | |
Urban area | 1.00 | 4.14 | 2.07 | 2.00* | |
Woodland | 1.00 | 13.86 | 2.28 | 6.07*** | |
Wetland | 0.35 | 0.61 | 1.34 | 0.45 | |
Zhejiang | (Intercept) | - | −0.88 | 1.09 | 0.80 |
Farmland | 1.00 | 13.03 | 2.13 | 6.11*** | |
Urban area | 1.00 | 6.89 | 2.19 | 3.14** | |
Woodland | 1.00 | 7.57 | 2.38 | 0.80** | |
Wetland | 1.00 | 5.23 | 2.16 | 2.42* | |
Shanghai | (Intercept) | - | 0.45 | 1.18 | 0.38 |
Farmland | 1.00 | 6.33 | 1.84 | 3.43*** | |
Urban area | 1.00 | 4.14 | 2.07 | 2.00* | |
Woodland | 1.00 | 13.86 | 2.28 | 6.07*** | |
Wetland | 0.35 | 0.61 | 1.34 | 0.45 |