Table 5.

Statistical results of the Poisson distributed linear mixed-effect models (LMMs). The results show the effect of each observation period on the frequency of fast swimming, as well as the average overall trainer rating of each dolphin.

LMM-Model	Observation Periods	Estimate	Std. Error	Df	T-Value	p-Value
(a)
Fast swimming	Intercept	0.36853	0.17284	18.18687	2.132	0.046873 *
Poisson	Observation period B	1.63546	0.27633	709.19429	5.918	<0.0001 ****
AIC: 2531.8	Observation period C	0.61732	0.17478	708.12697	3.532	0.000439 ***
Deviance: 2509.8	Observation period D	0.11255	0.17478	708.12697	0.644	0.519792
	Observation period E	1.97565	0.2155	708.12697	9.168	<0.0001 ****
	Observation period F	0.01046	0.18841	715.93166	0.056	0.955751
	Observation period G	0.22204	0.26123	714.31994	0.85	0.395621
	Observation period H	−0.29224	0.19627	715.9851	−1.489	0.136935
	Observation period I	0.03387	0.20829	715.6305	0.163	0.870888
(b)
Average Trainer Rating
Poisson	Intercept	2.31881	0.02379	64.29293	97.483	<0.0001 ****
AIC: 181.6	Observation period B	0.37637	0.05397	710.44062	6.974	<0.0001 ****
Deviance: 159.6	Observation period C	0.02191	0.03423	706.33135	0.64	0.52236
	Observation period D	−0.08809	0.03423	706.33135	−2.574	0.01027 *
	Observation period E	0.12611	0.04217	706.30673	2.991	0.00288 **
	Observation period F	−0.07889	0.03641	701.3391	−2.167	0.03058 *
	Observation period G	−0.06559	0.05076	713.89821	−1.292	0.19672
	Observation period H	−0.14983	0.03798	706.4147	−3.945	<0.0001 ****
	Observation period I	−0.04498	0.04015	690.11795	−1.12	0.26295

**** p < 0.0001, *** p < 0.001, ** p < 0.01, * p < 0.05.