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. 2020 Feb 25;12(2):plaa007. doi: 10.1093/aobpla/plaa007

Table 5.

Summary statistics for the predictive model of H index with aridity, temperature seasonality (TS) and weight percentage of clay particles (WPC) as proposed by the best subset regression. All predictor variables were log10-transformed. The adjusted R2 (total variance explained by each model), the P-value, Akaike’s Information Criterion (AIC), the estimate (Est.), the significance (P), the Bonferroni-corrected P-values (PBon), as well as the relative importance (rw) of each significant predictor of the best subset regression are reported.

Est. t P P Bon AIC R 2 adj r w F P-value
H −83.00 0.99 223 <0.001
Intercept −1.89 −179.00
Aridity 1.34 672.20 0.00 0.03 85.9
TS −0.16 −24.30 0.03 0.08 8.1
WPC −0.12 −44.4 0.01 0.04 6.0