Table 1. Regression results for the best (lowest AIC) regression model.

	Estimate	Std. Error	t value	Pr(>|t|)	Bootstrap estimated P
(Intercept)	0.000	0.006	0.000	1.000000	0.521
MilTech	1.043	0.025	42.114	< 2e-16	0.000
MilTech.sq	-0.175	0.026	-6.862	1.12e-11	0.000
IronCav	0.047	0.012	3.973	0.000076	0.000
Agri	0.020	0.008	2.542	0.011	0.028
WorldPop	0.039	0.011	3.505	0.00047	0.001
Centrality	0.027	0.008	3.375	0.00076	0.000
Phylogeny	0.037	0.008	4.486	8.01e-06	0.005

Estimate shows the standardized regression coefficients, which provide a direct measure of relative effects by the lagged predictors on the response variable. Thus, MilTech here represents the linear autoregressive term, AR(1). The column “t value” lists t-statistics, a measure of statistical significance of regression terms associated with various predictors. Pr(>|t|) is the statistical significance for regression assuming the Normal distribution of residuals, while Bootstrap estimated P is the result of nonparametric bootstrap that does not make this assumption.