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Table 3 MLR results with significant positive spatial correlations detected in model residuals

From: Examining spatial variations in the relationship between domestic energy consumption and its driving factors using multiscale geographically weighted regression: a case study in Nottingham, England

 

Coefficient

VIF

p-values

Household.3.or.more.people

9,311

2.280

0.818

Income

161 **

2.344

0.038

Unemployed

242,353**

2.048

0.038

Fuel.poverty

−11,730

1.954

0.798

Social.rented

−67,775***

2.166

0.003

Bedrooms.4.or.more

411,999***

2.450

0.0000004

Dwelling.terraced

12,335

1.964

0.572

Energy.efficiency.score

−246,906***

1.640

0.001

Heating.renewable.energy

113,096

1.359

0.848

Heating.district.heating

−178,944***

1.573

0.00008

Intercept

25,450,754***

0.00005

Observations

175

Moran's I of Residuals

0.174***

0.00006

Geary's C of Residuals

0.876**

0.01546

  1. *p < 0.1; **p < 0.05; ***p < 0.01