Table 9 Extraversion, openness, and neuroticism explain socio-spatial behaviour. The result of a multiple linear regression explaining principal components of socio-spatial data (see Table 7). The value of each coefficient (coeff) is reported together with the probability (p val) that the coefficient is not relevant for the model. The relative importance of each coefficient (LMG) is computed using the LMG method [79]
From: Understanding the interplay between social and spatial behaviour
|  | PC 0 \(R^{2}=0.17\), F = 21.40, \(p_{F}=0.0\) | PC 1 \(R^{2}=0.03\), F = 3.64, \(p_{F}=0.0\) | ||||
|---|---|---|---|---|---|---|
coeff | p val | LMG | coeff | p val | LMG | |
Extraversion | 0.85 ± 0.09 | <10−19 | 0.85 | 0.12 ± 0.06 | 0.05 | 0.14 |
Openness | −0.17 ± 0.08 | 0.03 | 0.02 | 0.13 ± 0.06 | 0.02 | 0.33 |
Neuroticism | 0.25 ± 0.09 | 0.004 | 0.04 | 0.15 ± 0.06 | 0.02 | 0.3 |
Agreeableness | 0.11 ± 0.08 | 0.2 | 0.04 | −0.07 ± 0.06 | 0.2 | 0.12 |
Conscientiousness | 0.06 ± 0.08 | 0.4 | 0.04 | −0.07 ± 0.06 | 0.2 | 0.11 |