Turning the tide: understanding estuarine detection range variability via structural equation models

Table 4 Model output of the most parsimonious logistic model for the non-aggregated-data without Rt6 with as response the Bernoulli performance

Predictor	Est	SE	z-value	p-value
(Intercept)	– 3.251	0.004	– 762.476	<0.001
Distance	– 3.496	0.005	– 659.352	<0.001
Water speed	– 0.941	0.003	– 366.237	<0.001
Tilt angle (sub)	– 0.384	0.003	– 147.082	<0.001
Water depth (rec)	0.448	0.002	189.136	<0.001
Tilt angle (rec)	– 0.577	0.003	– 184.318	<0.001
Water depth (sub)	0.546	0.003	215.572	<0.001
Wind speed	– 0.287	0.003	– 109.307	<0.001
Precipitation	– 0.270	0.004	– 64.826	<0.001
Temperature	0.066	0.002	26.488	<0.001
Current signal angle (180\(^{\circ }\))	– 0.058	0.005	– 11.155	<0.001
Angle wind cosine	– 0.005	0.002	– 1.919	0.055
Angle wind sine	– 0.004	0.001	– 3.365	0.001
Distance * water depth (rec)	0.275	0.003	78.950	<0.001
Distance * water depth (sub)	0.508	0.004	136.725	<0.001
Distance * water speed	– 0.271	0.003	– 93.773	<0.001
Distance * tilt angle (sub)	– 0.185	0.003	– 56.887	<0.001
Distance * wind speed	– 0.155	0.003	– 46.212	<0.001
Distance * precipitation	– 0.203	0.005	– 42.722	<0.001
Distance * tilt angle (rec)	– 0.133	0.004	– 35.126	<0.001
Tilt angle (rec) * current signal angle (180\(^{\circ }\))	0.224	0.003	71.309	<0.001
Tilt angle (sub) * current signal angle (180\(^{\circ }\))	– 0.156	0.003	– 60.121	<0.001
Distance * temperature	0.088	0.003	27.072	<0.001
Distance * current signal angle (180\(^{\circ }\))	– 0.080	0.007	– 12.313	<0.001
Water speed * current signal angle (180\(^{\circ }\))	0.015	0.003	5.573	<0.001
Wind speed * angle wind sine	0.007	0.001	5.344	<0.001
Wind speed * angle wind cosine	– 0.007	0.001	– 4.796	<0.001
Distance * angle wind cosine	0.012	0.003	3.967	<0.001

For each variable, the coefficient estimate (Est), standard error (SE), z-value, and p-value are given

ISSN: 2050-3385