Bootstrapping

Created on 2026-04-04

Please cite the use of SmartPLS: Ringle, C. M., Wende, S., and Becker, J.-M. 2022. "SmartPLS 4." Oststeinbek: SmartPLS GmbH, http://www.smartpls.com.

Final results

Path coefficients

	Original sample (O)	Sample mean (M)	Standard deviation (STDEV)	T statistics (\|O/STDEV\|)	P values
FAIRNESS -> RESPECT	0.614	0.613	0.061	10.059	0.000
LEADERSHIP -> FAIRNESS	0.701	0.704	0.036	19.532	0.000
LEADERSHIP -> RESPECT	0.038	0.036	0.054	0.694	0.488
LEADERSHIP x FAIRNESS -> RESPECT	0.170	0.171	0.029	5.867	0.000

	Original sample (O)	Sample mean (M)	2.5%	97.5%
FAIRNESS -> RESPECT	0.614	0.613	0.491	0.729
LEADERSHIP -> FAIRNESS	0.701	0.704	0.629	0.769
LEADERSHIP -> RESPECT	0.038	0.036	-0.072	0.143
LEADERSHIP x FAIRNESS -> RESPECT	0.170	0.171	0.117	0.231

	Original sample (O)	Sample mean (M)	Bias	2.5%	97.5%
FAIRNESS -> RESPECT	0.614	0.613	-0.001	0.492	0.730
LEADERSHIP -> FAIRNESS	0.701	0.704	0.002	0.620	0.763
LEADERSHIP -> RESPECT	0.038	0.036	-0.001	-0.072	0.143
LEADERSHIP x FAIRNESS -> RESPECT	0.170	0.171	0.001	0.117	0.231

Intercepts

The absence of this result is intentional and aligns with your model or chosen algorithm settings.

Total indirect effects

	Original sample (O)	Sample mean (M)	Standard deviation (STDEV)	T statistics (\|O/STDEV\|)	P values
LEADERSHIP -> RESPECT	0.431	0.432	0.054	7.985	0.000

	Original sample (O)	Sample mean (M)	2.5%	97.5%
LEADERSHIP -> RESPECT	0.431	0.432	0.330	0.537

	Original sample (O)	Sample mean (M)	Bias	2.5%	97.5%
LEADERSHIP -> RESPECT	0.431	0.432	0.002	0.327	0.536

Specific indirect effects

	Original sample (O)	Sample mean (M)	Standard deviation (STDEV)	T statistics (\|O/STDEV\|)	P values
LEADERSHIP -> FAIRNESS -> RESPECT	0.431	0.432	0.054	7.985	0.000

	Original sample (O)	Sample mean (M)	2.5%	97.5%
LEADERSHIP -> FAIRNESS -> RESPECT	0.431	0.432	0.330	0.537

	Original sample (O)	Sample mean (M)	Bias	2.5%	97.5%
LEADERSHIP -> FAIRNESS -> RESPECT	0.431	0.432	0.002	0.327	0.536

Total effects

	Original sample (O)	Sample mean (M)	Standard deviation (STDEV)	T statistics (\|O/STDEV\|)
FAIRNESS -> RESPECT	0.614	0.613	0.061	10.059
LEADERSHIP -> FAIRNESS	0.701	0.704	0.036	19.532
LEADERSHIP -> RESPECT	0.468	0.469	0.050	9.295
LEADERSHIP x FAIRNESS -> RESPECT	0.170	0.171	0.029	5.867

	Original sample (O)	Sample mean (M)	2.5%	97.5%
FAIRNESS -> RESPECT	0.614	0.613	0.491	0.729
LEADERSHIP -> FAIRNESS	0.701	0.704	0.629	0.769
LEADERSHIP -> RESPECT	0.468	0.469	0.366	0.562
LEADERSHIP x FAIRNESS -> RESPECT	0.170	0.171	0.117	0.231

	Original sample (O)	Sample mean (M)	Bias	2.5%	97.5%
FAIRNESS -> RESPECT	0.614	0.613	-0.001	0.492	0.730
LEADERSHIP -> FAIRNESS	0.701	0.704	0.002	0.620	0.763
LEADERSHIP -> RESPECT	0.468	0.469	0.000	0.361	0.559
LEADERSHIP x FAIRNESS -> RESPECT	0.170	0.171	0.001	0.117	0.231

Outer loadings

	Original sample (O)	Sample mean (M)	Standard deviation (STDEV)	T statistics (\|O/STDEV\|)	P values
Appraisal <- RESPECT	0.922	0.921	0.012	76.170	0.000
Appreciative <- LEADERSHIP	0.817	0.819	0.025	32.961	0.000
Distributive <- FAIRNESS	0.837	0.835	0.024	34.585	0.000
Facilitative <- LEADERSHIP	0.863	0.862	0.020	43.177	0.000
Informational <- FAIRNESS	0.883	0.883	0.016	55.062	0.000
Interpersonal <- FAIRNESS	0.826	0.826	0.023	36.285	0.000
Mutual <- RESPECT	0.924	0.923	0.011	82.300	0.000
Paternalistic <- LEADERSHIP	0.831	0.831	0.034	24.618	0.000
Procedural <- FAIRNESS	0.697	0.695	0.048	14.402	0.000
LEADERSHIP x FAIRNESS -> LEADERSHIP x FAIRNESS	1.000	1.000	0.000	n/a	n/a

	Original sample (O)	Sample mean (M)	2.5%	97.5%
Appraisal <- RESPECT	0.922	0.921	0.895	0.942
Appreciative <- LEADERSHIP	0.817	0.819	0.766	0.862
Distributive <- FAIRNESS	0.837	0.835	0.783	0.877
Facilitative <- LEADERSHIP	0.863	0.862	0.817	0.897
Informational <- FAIRNESS	0.883	0.883	0.849	0.912
Interpersonal <- FAIRNESS	0.826	0.826	0.777	0.865
Mutual <- RESPECT	0.924	0.923	0.899	0.943
Paternalistic <- LEADERSHIP	0.831	0.831	0.751	0.883
Procedural <- FAIRNESS	0.697	0.695	0.589	0.778
LEADERSHIP x FAIRNESS -> LEADERSHIP x FAIRNESS	1.000	1.000	1.000	1.000

	Original sample (O)	Sample mean (M)	Bias	2.5%	97.5%
Appraisal <- RESPECT	0.922	0.921	-0.001	0.893	0.941
Appreciative <- LEADERSHIP	0.817	0.819	0.001	0.756	0.857
Distributive <- FAIRNESS	0.837	0.835	-0.001	0.781	0.877
Facilitative <- LEADERSHIP	0.863	0.862	-0.000	0.815	0.895
Informational <- FAIRNESS	0.883	0.883	0.000	0.846	0.910
Interpersonal <- FAIRNESS	0.826	0.826	0.000	0.771	0.863
Mutual <- RESPECT	0.924	0.923	-0.000	0.898	0.942
Paternalistic <- LEADERSHIP	0.831	0.831	-0.001	0.740	0.879
Procedural <- FAIRNESS	0.697	0.695	-0.002	0.583	0.775
LEADERSHIP x FAIRNESS -> LEADERSHIP x FAIRNESS	1.000	1.000	0.000	1.000	1.000

Outer weights

	Original sample (O)	Sample mean (M)	Standard deviation (STDEV)	T statistics (\|O/STDEV\|)	P values
Appraisal <- RESPECT	0.539	0.539	0.018	30.160	0.000
Appreciative <- LEADERSHIP	0.414	0.415	0.028	14.619	0.000
Distributive <- FAIRNESS	0.308	0.307	0.013	22.898	0.000
Facilitative <- LEADERSHIP	0.397	0.396	0.024	16.878	0.000
Informational <- FAIRNESS	0.346	0.346	0.016	21.912	0.000
Interpersonal <- FAIRNESS	0.312	0.313	0.015	20.317	0.000
Mutual <- RESPECT	0.544	0.545	0.019	29.354	0.000
Paternalistic <- LEADERSHIP	0.384	0.383	0.028	13.688	0.000
Procedural <- FAIRNESS	0.257	0.257	0.018	14.645	0.000
LEADERSHIP x FAIRNESS -> LEADERSHIP x FAIRNESS	1.000	1.000	0.000	n/a	n/a

	Original sample (O)	Sample mean (M)	2.5%	97.5%
Appraisal <- RESPECT	0.539	0.539	0.505	0.575
Appreciative <- LEADERSHIP	0.414	0.415	0.367	0.476
Distributive <- FAIRNESS	0.308	0.307	0.282	0.335
Facilitative <- LEADERSHIP	0.397	0.396	0.351	0.444
Informational <- FAIRNESS	0.346	0.346	0.318	0.381
Interpersonal <- FAIRNESS	0.312	0.313	0.284	0.344
Mutual <- RESPECT	0.544	0.545	0.511	0.584
Paternalistic <- LEADERSHIP	0.384	0.383	0.323	0.435
Procedural <- FAIRNESS	0.257	0.257	0.220	0.290
LEADERSHIP x FAIRNESS -> LEADERSHIP x FAIRNESS	1.000	1.000	1.000	1.000

	Original sample (O)	Sample mean (M)	Bias	2.5%	97.5%
Appraisal <- RESPECT	0.539	0.539	-0.000	0.506	0.576
Appreciative <- LEADERSHIP	0.414	0.415	0.001	0.369	0.482
Distributive <- FAIRNESS	0.308	0.307	-0.000	0.283	0.336
Facilitative <- LEADERSHIP	0.397	0.396	-0.001	0.353	0.448
Informational <- FAIRNESS	0.346	0.346	0.000	0.319	0.383
Interpersonal <- FAIRNESS	0.312	0.313	0.000	0.284	0.345
Mutual <- RESPECT	0.544	0.545	0.001	0.511	0.585
Paternalistic <- LEADERSHIP	0.384	0.383	-0.001	0.324	0.435
Procedural <- FAIRNESS	0.257	0.257	-0.000	0.220	0.290
LEADERSHIP x FAIRNESS -> LEADERSHIP x FAIRNESS	1.000	1.000	0.000	1.000	1.000

Quality criteria

R-square

	Original sample (O)	Sample mean (M)	Standard deviation (STDEV)	T statistics (\|O/STDEV\|)	P values
FAIRNESS	0.492	0.497	0.050	9.799	0.000
RESPECT	0.585	0.589	0.055	10.601	0.000

	Original sample (O)	Sample mean (M)	2.5%	97.5%
FAIRNESS	0.492	0.497	0.396	0.591
RESPECT	0.585	0.589	0.475	0.691

	Original sample (O)	Sample mean (M)	Bias	2.5%	97.5%
FAIRNESS	0.492	0.497	0.005	0.384	0.582
RESPECT	0.585	0.589	0.004	0.459	0.679

R-square adjusted

	Original sample (O)	Sample mean (M)	Standard deviation (STDEV)	T statistics (\|O/STDEV\|)	P values
FAIRNESS	0.490	0.495	0.050	9.732	0.000
RESPECT	0.581	0.585	0.056	10.419	0.000

	Original sample (O)	Sample mean (M)	2.5%	97.5%
FAIRNESS	0.490	0.495	0.394	0.589
RESPECT	0.581	0.585	0.470	0.688

	Original sample (O)	Sample mean (M)	Bias	2.5%	97.5%
FAIRNESS	0.490	0.495	0.005	0.382	0.580
RESPECT	0.581	0.585	0.004	0.454	0.676

f-square

	Original sample (O)	Sample mean (M)	Standard deviation (STDEV)	T statistics (\|O/STDEV\|)	P values
FAIRNESS -> RESPECT	0.447	0.455	0.118	3.771	0.000
LEADERSHIP -> FAIRNESS	0.968	1.006	0.203	4.768	0.000
LEADERSHIP -> RESPECT	0.002	0.005	0.007	0.249	0.804
LEADERSHIP x FAIRNESS -> RESPECT	0.166	0.171	0.057	2.931	0.003

	Original sample (O)	Sample mean (M)	2.5%	97.5%
FAIRNESS -> RESPECT	0.447	0.455	0.254	0.709
LEADERSHIP -> FAIRNESS	0.968	1.006	0.655	1.444
LEADERSHIP -> RESPECT	0.002	0.005	0.000	0.025
LEADERSHIP x FAIRNESS -> RESPECT	0.166	0.171	0.078	0.300

	Original sample (O)	Sample mean (M)	Bias	2.5%	97.5%
FAIRNESS -> RESPECT	0.447	0.613	0.166	0.360	0.398
LEADERSHIP -> FAIRNESS	0.968	0.704	-0.265	0.544	0.544
LEADERSHIP -> RESPECT	0.002	0.036	0.035	-0.137	0.074
LEADERSHIP x FAIRNESS -> RESPECT	0.166	0.171	0.005	0.109	0.220

Average variance extracted (AVE)

	Original sample (O)	Sample mean (M)	Standard deviation (STDEV)	T statistics (\|O/STDEV\|)
FAIRNESS	0.662	0.662	0.028	23.700
LEADERSHIP	0.701	0.702	0.028	25.354
RESPECT	0.852	0.851	0.019	44.640

	Original sample (O)	Sample mean (M)	2.5%	97.5%
FAIRNESS	0.662	0.662	0.607	0.715
LEADERSHIP	0.701	0.702	0.646	0.752
RESPECT	0.852	0.851	0.811	0.886

	Original sample (O)	Sample mean (M)	Bias	2.5%	97.5%
FAIRNESS	0.662	0.662	-0.000	0.607	0.714
LEADERSHIP	0.701	0.702	0.001	0.641	0.750
RESPECT	0.852	0.851	-0.001	0.809	0.885

Composite reliability (rho_c)

	Original sample (O)	Sample mean (M)	Standard deviation (STDEV)	T statistics (\|O/STDEV\|)
FAIRNESS	0.886	0.885	0.013	68.140
LEADERSHIP	0.876	0.876	0.015	60.202
RESPECT	0.920	0.919	0.011	82.299

	Original sample (O)	Sample mean (M)	2.5%	97.5%
FAIRNESS	0.886	0.885	0.859	0.909
LEADERSHIP	0.876	0.876	0.845	0.901
RESPECT	0.920	0.919	0.895	0.939

	Original sample (O)	Sample mean (M)	Bias	2.5%	97.5%
FAIRNESS	0.886	0.885	-0.001	0.859	0.909
LEADERSHIP	0.876	0.876	-0.000	0.843	0.900
RESPECT	0.920	0.919	-0.000	0.894	0.939

Composite reliability (rho_a)

	Original sample (O)	Sample mean (M)	Standard deviation (STDEV)	T statistics (\|O/STDEV\|)	P values
FAIRNESS	0.841	0.841	0.019	44.131	0.000
LEADERSHIP	0.787	0.791	0.027	29.219	0.000
RESPECT	0.826	0.827	0.026	31.529	0.000
LEADERSHIP x FAIRNESS	1.000	1.000	0.000	n/a	n/a

	Original sample (O)	Sample mean (M)	2.5%	97.5%
FAIRNESS	0.841	0.841	0.801	0.875
LEADERSHIP	0.787	0.791	0.735	0.838
RESPECT	0.826	0.827	0.770	0.873
LEADERSHIP x FAIRNESS	1.000	1.000	1.000	1.000

	Original sample (O)	Sample mean (M)	Bias	2.5%	97.5%
FAIRNESS	0.841	0.841	0.001	0.797	0.872
LEADERSHIP	0.787	0.791	0.004	0.718	0.830
RESPECT	0.826	0.827	0.001	0.761	0.868
LEADERSHIP x FAIRNESS	1.000	1.000	0.000	1.000	1.000

Cronbach's alpha

	Original sample (O)	Sample mean (M)	Standard deviation (STDEV)	T statistics (\|O/STDEV\|)
FAIRNESS	0.827	0.826	0.022	36.897
LEADERSHIP	0.787	0.787	0.028	27.866
RESPECT	0.826	0.824	0.026	31.163

	Original sample (O)	Sample mean (M)	2.5%	97.5%
FAIRNESS	0.827	0.826	0.779	0.866
LEADERSHIP	0.787	0.787	0.727	0.835
RESPECT	0.826	0.824	0.767	0.871

	Original sample (O)	Sample mean (M)	Bias	2.5%	97.5%
FAIRNESS	0.827	0.826	-0.001	0.779	0.866
LEADERSHIP	0.787	0.787	-0.000	0.720	0.833
RESPECT	0.826	0.824	-0.001	0.764	0.870

	Original sample (O)	Sample mean (M)	2.5%	97.5%
LEADERSHIP <-> FAIRNESS	0.855	0.855	0.776	0.923
RESPECT <-> FAIRNESS	0.874	0.875	0.790	0.946
RESPECT <-> LEADERSHIP	0.656	0.656	0.538	0.758

	Original sample (O)	Sample mean (M)	Bias	2.5%	97.5%
LEADERSHIP <-> FAIRNESS	0.855	0.855	-0.001	0.771	0.920
RESPECT <-> FAIRNESS	0.874	0.875	0.000	0.784	0.942
RESPECT <-> LEADERSHIP	0.656	0.656	-0.000	0.532	0.754

Latent variable correlations

	Original sample (O)	Sample mean (M)	Standard deviation (STDEV)	T statistics (\|O/STDEV\|)	P values
LEADERSHIP <-> FAIRNESS	0.701	0.704	0.036	19.532	0.000
RESPECT <-> FAIRNESS	0.718	0.718	0.041	17.395	0.000
RESPECT <-> LEADERSHIP	0.529	0.531	0.051	10.377	0.000
LEADERSHIP x FAIRNESS <-> FAIRNESS	0.282	0.287	0.090	3.129	0.002
LEADERSHIP x FAIRNESS <-> LEADERSHIP	0.222	0.225	0.086	2.599	0.009
LEADERSHIP x FAIRNESS <-> RESPECT	0.455	0.457	0.072	6.315	0.000

	Original sample (O)	Sample mean (M)	2.5%	97.5%
LEADERSHIP <-> FAIRNESS	0.701	0.704	0.629	0.769
RESPECT <-> FAIRNESS	0.718	0.718	0.630	0.792
RESPECT <-> LEADERSHIP	0.529	0.531	0.424	0.624
LEADERSHIP x FAIRNESS <-> FAIRNESS	0.282	0.287	0.104	0.461
LEADERSHIP x FAIRNESS <-> LEADERSHIP	0.222	0.225	0.055	0.394
LEADERSHIP x FAIRNESS <-> RESPECT	0.455	0.457	0.307	0.588

	Original sample (O)	Sample mean (M)	Bias	2.5%	97.5%
LEADERSHIP <-> FAIRNESS	0.701	0.704	0.002	0.620	0.763
RESPECT <-> FAIRNESS	0.718	0.718	0.000	0.622	0.787
RESPECT <-> LEADERSHIP	0.529	0.531	0.002	0.413	0.616
LEADERSHIP x FAIRNESS <-> FAIRNESS	0.282	0.287	0.005	0.094	0.450
LEADERSHIP x FAIRNESS <-> LEADERSHIP	0.222	0.225	0.003	0.051	0.388
LEADERSHIP x FAIRNESS <-> RESPECT	0.455	0.457	0.001	0.295	0.580

Model fit

SRMR

	Original sample (O)	Sample mean (M)	95%	99%
Saturated model	0.079	0.051	0.058	0.062
Estimated model	0.078	0.054	0.062	0.066

d_ULS

	Original sample (O)	Sample mean (M)	95%	99%
Saturated model	0.282	0.118	0.154	0.172
Estimated model	0.277	0.131	0.171	0.195

d_G

	Original sample (O)	Sample mean (M)	95%	99%
Saturated model	0.174	0.122	0.133	0.140
Estimated model	0.138	0.085	0.099	0.107

Algorithm

Setting

	Setting
Data file	Combined Rev Score (300) derived from PLS results
Weighting vector	-

	Setting
Initial weights	1.0
Max. number of iterations	3000
Stop criterion	10⁻⁷
Type of results	Standardized
Use Lohmoeller settings?	No
Weighting scheme	Path

	Setting
Complexity	Complete (slower)
Confidence interval method	Bias-corrected and accelerated (BCa) bootstrap
Parallel processing	Yes
Samples	5000
Save results per sample	No
Seed	Fixed seed
Significance level	0.05
Test type	Two tailed

	Setting
FAIRNESS	AUTOMATIC
LEADERSHIP	AUTOMATIC
RESPECT	AUTOMATIC

Samples

The absence of this result is intentional and aligns with your model or chosen algorithm settings.

Execution log

Reading score matrix of complete data set
Calculating full data set.
Calculating original sample.
Running samples [5000 done] (3 seconds).
Running saturated model fit. [5000 done] (3 seconds).
Running estimated model fit. [5000 done] (2 seconds).
Calculating inner weights.
Calculating indirect effects.
Calculating specific indirect effects
Calculating total effect.
Calculating outer weights.
Calculating outer loadings.
Calculating outer loadings.
Calculating AVE.
Calculating composite reliability.
Calculating composite reliability.
Calculating Cronbach's alpha.
Calculating R-square.
Calculating R-square corrected.
Calculating f-square.
Calculating HTMT criterion.
Calculating HTMT criterion.
Calculating SRMR criterion.
Calculating ULS fit criterion.
Calculating ULS fit criterion.
Calculating ULS fit criterion.
Calculating model decoration.
All calculations done.

Histograms

Path coefficients histogram charts

Indirect effects histogram charts

Total effects histogram charts

Outer weights histogram charts

Model and data

Inner model

	FAIRNESS	RESPECT
FAIRNESS		1.000
LEADERSHIP	1.000	1.000
RESPECT

Outer model

	FAIRNESS	LEADERSHIP	RESPECT
Appraisal			-1.000
Appreciative		-1.000
Distributive	-1.000
Facilitative		-1.000
Informational	-1.000
Interpersonal	-1.000
Mutual			-1.000
Paternalistic		-1.000
Procedural	-1.000

Indicator data (original)

Matrix
MV descriptives

Case index	Appraisal	Appreciative	Distributive	Facilitative	Informational	Interpersonal	Mutual	Paternalistic	Procedural
0	-0.333	-0.112	-0.079	-0.041	-0.137	-0.393	-0.472	-0.704	-0.746
1	-0.333	-0.112	-0.079	-1.632	-2.105	-0.393	-0.472	-2.175	-0.053
2	-0.333	-1.127	-0.079	-0.041	-0.137	-0.393	-0.472	0.073	-0.053
3	1.869	-0.112	-0.079	0.416	-0.137	0.183	1.596	0.073	0.639
4	-2.884	-0.112	-0.079	0.416	0.426	1.994	-1.942	-0.704	-0.746
5	-0.333	-0.112	-0.709	-1.632	-1.608	-0.393	-0.836	-0.704	-1.442
6	-0.333	-0.112	-0.079	-1.632	-0.660	-0.393	-0.836	-0.704	-1.442
7	-0.333	1.918	-0.079	-0.041	-0.137	0.183	2.015	-0.704	-0.053
8	1.050	1.918	0.544	2.245	1.407	0.240	2.073	0.073	0.992
9	-1.670	-0.112	-1.331	-2.326	-1.177	-2.205	-0.877	-2.175	-3.183
10	-0.333	-0.112	-0.079	-0.041	-0.137	-0.393	-0.472	0.073	-0.053
11	-1.717	-0.112	-1.921	-0.041	-0.137	-0.393	-2.516	-0.704	-3.180
12	-1.670	-0.112	-1.913	-0.041	-0.594	-0.393	-2.427	-0.704	-0.749
13	-0.850	0.902	1.133	1.332	1.897	-0.380	0.430	2.320	-1.442
14	-0.805	-2.141	-2.544	-0.735	-0.137	-0.393	-0.949	-1.398	-1.442
15	0.185	-0.112	-0.079	-1.191	-0.137	0.183	2.420	0.073	0.992
16	-0.333	-0.112	-0.079	0.653	-0.137	-0.393	-0.472	0.073	-0.053
17	1.917	0.904	2.386	-0.041	2.354	1.994	0.246	2.320	-0.053
18	-0.333	-0.112	-0.079	-1.191	-0.137	-0.393	-0.472	-0.704	-0.053
19	0.185	0.904	-0.079	2.245	1.267	1.994	0.781	1.544	-0.746
20	-1.368	-0.112	1.182	0.653	-0.137	0.183	-0.084	1.544	-0.053
21	1.917	-0.113	2.386	1.551	2.354	1.994	1.093	2.320	1.684
22	-0.333	-0.112	-0.079	-0.735	-0.137	-0.393	-0.472	0.073	-0.749
23	-0.333	-0.112	-0.079	-0.041	-0.137	-0.393	-0.472	0.073	-0.053
24	-0.333	-0.112	-0.079	-0.041	-0.137	1.431	-1.393	0.073	-0.749
25	-0.333	-0.112	-0.079	-1.191	-0.137	-0.393	-0.472	-0.704	-0.053
26	-0.333	-0.112	-0.701	-0.041	-1.136	-0.393	-0.472	-0.704	-0.053
27	2.736	1.918	2.386	2.245	2.354	1.994	2.420	-0.009	2.380
28	-0.333	-2.141	-0.079	-1.176	-0.137	-0.393	-0.472	-1.398	-0.053
29	-0.333	0.902	-0.079	-0.041	0.810	1.994	-0.472	0.073	-0.053
30	-0.333	-0.112	-1.921	-1.176	-0.660	-0.393	-0.472	-1.398	-2.487
31	0.185	-0.112	0.552	-0.041	-0.137	0.183	0.005	-0.704	-0.749
32	0.185	-0.112	-0.079	-0.041	-0.137	0.183	1.111	0.073	-0.053
33	2.736	1.918	2.386	2.245	2.354	1.994	1.943	2.320	0.992
34	-0.333	-0.112	-0.079	-0.041	0.898	-0.393	-0.472	0.073	0.992
35	0.185	-4.170	-2.544	-0.497	-1.594	-0.393	-0.101	0.073	-2.487
36	0.185	-1.127	-1.962	-0.497	-0.137	1.431	0.358	-0.704	-2.487
37	-0.333	-0.112	-0.079	-0.512	-0.137	-0.393	-0.472	-0.704	2.380
38	-0.333	-0.112	-0.079	-0.735	-0.137	-0.393	-0.472	-0.704	-1.795
39	-0.333	-0.112	-0.079	-0.497	-0.137	-0.393	-0.472	0.073	-0.053
40	0.185	-0.112	-0.079	0.653	-0.137	-0.393	0.634	0.073	-0.053
41	-0.333	-0.112	-0.079	-0.497	-0.660	-0.393	-0.472	0.073	-0.053
42	1.354	-0.112	0.544	0.653	0.339	1.994	1.556	0.849	1.688
43	-0.333	-0.112	-0.079	-0.041	-0.137	-0.393	-0.472	-0.704	-0.053
44	0.532	-0.112	-0.079	-0.041	0.334	-0.393	-0.124	0.073	0.639
45	-0.333	-0.112	-0.079	0.416	-0.137	-0.393	-0.472	0.073	-0.053
46	1.917	-0.112	2.386	-1.191	-0.137	-0.393	-0.101	-0.704	0.639
47	0.534	-0.112	0.503	1.110	-0.660	0.222	-0.084	0.073	0.642
48	-0.333	-0.112	0.551	-1.206	0.810	0.170	-0.472	-1.480	-0.053
49	-0.333	-0.112	-0.079	-0.041	-0.137	-0.393	-0.472	-0.704	-0.053
50	-0.333	-0.112	-0.079	0.416	2.354	1.994	-0.472	2.320	-0.053
51	-0.333	-0.112	-0.079	-0.041	-0.137	-0.393	-0.472	0.073	-1.442
52	-0.333	-0.112	-0.079	-0.041	-1.608	-2.217	-0.748	-0.704	-0.746
53	0.185	-1.127	-2.544	-2.326	-1.136	-1.571	-0.119	-3.646	1.684
54	-0.333	-0.112	0.503	-0.041	-0.137	-0.393	-0.877	0.073	-0.053
55	-0.333	-0.112	-0.079	-0.041	-0.137	-0.393	-0.877	0.073	-1.795
56	-0.333	1.918	-0.079	1.551	0.334	1.431	2.420	1.544	-0.053
57	-0.333	1.918	-0.079	1.788	-0.137	-0.393	-0.472	2.320	-0.053
58	-0.333	-0.112	-0.079	1.110	-0.137	-0.393	-0.472	2.320	-0.053
59	-3.402	-1.127	-2.544	0.416	-2.628	-0.393	-1.669	-1.398	-0.053
60	-0.333	0.904	-0.079	1.788	-0.137	-0.393	0.376	2.320	-0.053
61	-0.333	1.918	-0.079	1.110	1.267	1.431	-1.281	0.849	-1.442
62	-0.333	-0.112	-0.079	1.094	-0.137	-0.393	-0.472	0.073	-0.053
63	0.534	-1.127	0.544	1.551	0.810	-0.956	-0.158	-0.704	1.684
64	-1.670	-0.112	-0.079	-0.735	-1.085	-0.956	-1.304	0.073	-0.746
65	0.532	-0.112	-0.079	-0.041	0.320	-0.393	-0.101	0.073	-0.053
66	-0.033	-2.141	-0.120	-2.564	-0.559	1.994	0.025	-0.009	0.289
67	-1.152	-0.112	-1.332	-0.041	-0.137	-0.393	-0.931	0.073	-0.053
68	1.917	0.902	1.804	-0.041	2.354	1.994	1.975	0.849	-0.749
69	1.917	1.918	1.133	1.551	-0.137	0.816	1.484	0.073	2.380
70	1.052	-0.112	1.133	-0.735	-0.137	-0.393	-0.448	-0.704	1.684
71	-0.333	-0.112	-0.079	-1.191	-0.137	-0.393	-0.472	-0.704	-0.053
72	0.185	1.918	2.386	2.245	-0.137	1.994	-0.066	1.544	-0.053
73	-0.333	1.918	-0.079	-0.735	-1.118	-0.393	-0.101	-2.175	-0.749
74	-0.333	-0.112	-0.079	-0.041	-0.137	-0.393	-0.472	0.073	-0.053
75	-0.333	-0.112	-0.079	-0.041	-0.137	-0.393	-0.472	0.073	-0.053
76	-0.333	-0.112	-0.079	-1.191	-0.137	-0.393	-0.472	-0.704	-0.053
77	-0.333	-0.112	-0.079	-0.041	-0.137	-0.393	0.263	0.073	-0.053
78	0.185	-0.112	-0.079	-0.041	-0.137	-0.393	-0.472	0.073	0.992
79	2.736	1.918	2.386	2.245	2.354	1.994	0.326	0.849	0.639
80	1.399	-0.112	2.386	0.416	-0.137	-0.393	1.570	0.073	-0.053
81	-1.152	-0.112	-2.544	-0.041	-0.137	-0.969	-0.472	0.073	-0.053
82	0.185	1.918	0.552	1.094	1.421	-0.393	0.263	1.544	2.380
83	1.917	-0.112	-0.079	0.416	-0.137	-0.393	-0.101	0.073	0.639
84	-0.333	-0.112	-0.079	-1.191	-0.137	-0.393	-0.472	-0.704	-0.053
85	0.185	-0.112	-0.079	-0.041	-0.137	1.431	1.168	0.073	-0.053
86	0.185	-0.112	-0.079	2.245	0.233	0.253	0.821	-1.480	-0.053
87	-0.333	-0.112	-0.661	-0.041	1.831	1.994	0.246	-0.704	-0.053
88	2.736	1.918	2.386	0.163	2.354	1.994	2.420	2.320	2.380
89	-0.333	-0.112	-0.701	-0.041	-0.137	-0.393	-0.472	0.073	-1.442
90	-1.152	-0.112	-0.079	-0.735	-0.137	-0.393	-0.472	-0.704	0.992
91	0.185	-0.112	-0.079	0.416	-0.137	-0.393	0.375	0.073	-0.746
92	0.534	0.904	0.503	-1.176	-0.137	0.803	1.484	-0.704	0.642
93	-0.333	-0.112	-0.079	-1.191	-0.137	-0.393	-0.472	-0.704	-0.053
94	-0.333	-0.112	-0.079	-0.041	-0.137	-0.393	-0.013	-0.704	-0.053
95	-0.333	-0.112	0.544	-1.191	-0.137	-0.393	0.781	-0.704	-0.053
96	0.185	-0.112	-1.962	-1.176	-2.628	-2.780	-0.084	-2.175	-0.053
97	-0.850	-0.112	0.551	-0.041	1.267	-0.393	-0.512	0.073	-0.053
98	1.004	-0.112	-0.079	-0.041	-0.137	-0.393	0.634	-0.704	-0.053
99	0.185	-1.125	-0.079	-1.870	-0.594	-0.393	-0.472	0.073	-0.053
100	-0.333	-0.112	-0.079	0.416	-0.137	-0.393	-0.472	0.073	-0.053
101	-0.333	-0.112	-0.079	-0.041	-0.137	-0.393	0.263	0.073	-0.053
102	-0.333	-0.112	-0.079	-0.041	-0.137	-0.393	-0.472	0.073	-0.053
103	1.052	-0.112	1.804	1.094	2.354	1.994	1.498	2.320	0.293
104	1.050	-2.141	-0.079	-0.041	-0.118	-0.393	-0.101	0.073	1.688
105	-0.333	-0.112	-0.079	-0.041	-0.137	-0.393	-0.472	0.073	-0.053
106	0.882	1.918	-0.079	1.094	2.354	1.431	1.151	2.320	-0.057
107	1.052	-0.112	-0.079	-0.041	0.339	-0.393	2.420	0.073	-0.053
108	0.185	1.918	2.386	-0.041	2.354	1.994	1.644	-3.646	2.380
109	0.185	-0.112	-0.079	-0.041	-0.137	1.431	0.246	0.073	-0.053
110	-0.333	0.902	1.125	0.416	-0.137	1.431	0.263	-0.704	1.684
111	-0.333	-0.112	-0.079	-0.497	-0.137	-0.393	-0.472	-0.704	-0.053
112	0.185	1.918	-0.079	-1.191	0.339	1.431	0.763	-0.704	2.380
113	2.736	1.918	2.386	0.182	2.354	1.994	2.420	1.544	2.380
114	-0.333	-0.112	-0.079	-1.191	-0.137	-0.393	-0.472	-0.704	-0.053
115	0.185	-0.112	-2.544	0.416	-2.171	-0.393	-0.101	0.073	-0.053
116	1.352	-2.141	-1.332	0.416	-0.189	-0.943	-0.142	-0.704	-0.749
117	0.185	1.918	-0.079	1.551	1.333	1.431	0.416	0.767	-3.180
118	-0.333	-0.112	-0.079	-1.191	-0.609	-0.393	-0.472	0.073	-0.053
119	-0.333	-1.125	-0.079	-1.176	-2.628	-0.393	-0.805	0.073	-0.053
120	-1.152	-0.112	-0.079	-0.041	-0.137	-0.393	-0.916	-0.704	-0.053
121	-0.333	0.904	-0.079	0.400	0.810	0.183	-0.472	-0.704	-0.053
122	0.185	-0.112	-0.079	-0.041	0.916	1.994	1.943	0.073	2.380
123	-0.333	-0.112	-0.079	-1.191	-0.137	-0.393	-0.472	-0.704	-0.053
124	1.050	1.918	2.386	0.653	1.897	-0.393	2.420	-0.704	1.684
125	1.917	0.902	-2.544	-0.720	-0.594	-0.393	0.335	-0.704	0.639
126	-0.333	-0.112	-0.079	-0.497	-0.137	-0.393	-0.472	0.073	-0.053
127	-0.333	-0.112	-0.079	-1.191	-0.137	-0.393	-0.472	-0.704	-0.053
128	-1.670	-0.112	-0.701	-0.497	-0.137	-0.969	-1.723	0.073	-1.795
129	-0.333	-0.112	1.125	-0.497	-0.137	1.431	-0.101	0.767	0.642
130	0.185	-0.112	-0.079	-0.497	-0.137	-0.393	-0.124	0.073	-0.746
131	-1.152	-0.112	-0.079	-0.041	-0.137	-0.393	-0.472	0.073	-0.746
132	-0.333	-0.112	1.755	-0.056	-0.137	0.183	0.281	-1.480	-0.053
133	0.232	-0.112	-0.079	-0.041	-0.137	0.798	-0.027	0.073	1.335
134	1.352	-1.125	-0.079	-0.041	0.334	1.379	0.246	-0.704	-0.053
135	-0.333	-0.112	-0.079	-1.191	-0.137	1.431	-0.472	-0.704	-0.053
136	0.185	-0.112	-0.079	-0.497	-0.137	0.222	-0.472	0.073	-0.746
137	-0.333	-0.112	-0.079	-0.041	-0.137	-0.393	-0.472	0.073	-0.053
138	1.184	-1.127	1.133	0.400	0.898	0.868	1.556	1.544	0.639
139	-0.333	-0.112	-2.544	-0.497	-0.137	-0.393	-0.101	0.073	-0.749
140	-0.850	-0.112	-0.079	-1.191	0.334	-0.393	0.651	-0.704	0.989
141	1.871	1.918	1.764	1.788	1.897	1.994	1.587	0.767	1.684
142	-0.333	0.904	-0.079	-1.429	2.354	-0.393	0.358	0.767	-0.053
143	2.736	1.918	1.125	1.551	1.440	1.994	2.420	2.320	0.992
144	-0.333	-2.141	-0.079	-0.735	-0.137	-0.393	-0.472	-1.480	-0.053
145	-0.333	-0.112	0.503	-0.041	-0.137	-0.393	-0.472	0.073	-0.053
146	-0.333	-3.155	-0.079	-0.041	-0.137	-0.393	-0.472	-0.704	-0.053
147	-1.198	-0.112	-0.079	-1.176	-1.172	-0.393	-0.472	0.073	-1.442
148	0.185	-2.141	-0.701	-0.720	-2.628	-0.956	-0.842	0.073	-0.749
149	2.736	1.918	2.386	2.245	2.354	1.994	2.420	2.320	2.380
150	2.736	1.918	2.386	2.245	2.354	1.994	2.420	2.320	2.380
151	-0.333	-0.112	-0.079	2.245	-0.137	-0.393	-0.472	0.073	-0.053
152	-0.333	-0.112	-0.079	0.653	-0.137	-0.393	-0.546	0.073	-0.053
153	2.736	-0.112	2.386	2.245	2.354	1.994	1.628	0.849	0.992
154	2.736	1.918	2.386	2.245	2.354	1.994	2.420	2.320	2.380
155	2.736	1.918	2.386	2.245	2.354	1.994	2.420	2.320	2.380
156	-0.333	-0.112	-0.079	0.416	-0.137	-0.393	-0.101	0.849	-0.053
157	-0.333	-0.112	-0.079	0.653	-0.137	-0.393	-0.472	0.073	-0.053
158	1.050	-0.112	-0.079	-0.497	-0.137	-0.393	-0.101	0.073	-0.053
159	1.917	1.918	1.174	1.110	2.354	1.994	1.498	2.320	2.380
160	-0.333	-0.112	-0.079	-0.041	-0.137	-0.393	-0.472	0.073	-0.053
161	0.532	-0.112	-0.079	-1.191	0.320	-0.393	-0.472	-0.704	-0.749
162	-0.333	-0.112	-0.079	-0.497	-0.137	-0.393	-0.472	0.073	-0.053
163	-0.333	-0.112	-0.079	-0.497	-0.137	0.183	-0.124	0.073	-0.749
164	-1.152	-2.141	-2.544	-1.176	-2.105	-0.393	-0.472	-2.175	-0.746
165	-0.333	0.904	1.764	-1.647	-0.137	-0.956	-0.472	-0.704	-0.749
166	-1.152	-0.112	-0.079	-0.735	-2.157	-0.956	-0.472	-1.480	-0.746
167	-0.333	-0.112	-0.079	0.416	-0.660	-0.393	-0.472	0.073	-0.053
168	-1.152	-0.112	-0.079	-0.041	-0.137	-0.393	-0.472	0.073	-0.053
169	-0.333	-2.141	-0.079	-1.176	-1.681	-0.393	-0.472	-2.175	-0.053
170	0.185	1.918	-0.079	0.653	1.374	1.994	-0.472	1.544	-0.053
171	-0.333	-2.141	1.764	-1.870	-2.152	-0.393	0.746	-0.704	1.335
172	-0.333	-0.112	-0.079	0.416	-0.137	-0.393	-0.472	0.073	-0.053
173	-0.333	-0.112	-0.079	0.416	-0.137	-0.393	-0.124	0.849	-0.053
174	-0.333	1.918	-0.079	1.110	-0.137	-0.393	-0.124	0.849	-0.053
175	-0.333	-0.112	-0.079	0.416	-0.137	-0.393	-0.472	0.849	-0.053
176	2.736	1.918	2.386	2.245	2.354	1.994	2.420	0.849	2.380
177	2.736	1.918	2.386	1.551	2.354	1.994	2.420	0.849	2.380
178	-0.333	-0.112	-0.079	1.551	-0.137	-0.393	-0.472	0.849	-0.053
179	-0.333	-0.112	-0.079	-0.041	-0.137	-0.393	-0.819	-0.704	-0.053
180	-0.333	-0.112	-0.079	-0.041	-0.137	-0.393	-0.472	0.073	-0.053
181	-0.333	-0.112	-0.079	0.416	-0.137	-0.393	-0.472	0.073	-0.053
182	-0.333	-0.112	-0.079	1.110	-0.137	-0.393	-0.472	0.849	-0.053
183	-0.333	-0.112	-0.079	-0.041	-0.137	-0.393	0.353	0.073	-0.053
184	-0.333	-0.112	-0.079	1.110	-0.137	-0.393	-0.472	0.849	-0.053
185	-0.333	1.918	-0.079	0.416	-0.137	-0.393	-0.472	0.849	-0.053
186	-0.333	-0.112	-0.079	0.416	-0.137	-0.393	-0.472	0.073	-0.053
187	-0.333	-0.112	-0.079	0.416	-0.137	-0.393	-0.472	0.073	-0.053
188	-0.333	-0.112	-0.079	0.416	-0.137	-0.393	-0.101	0.849	-0.053
189	-0.333	-0.112	-0.079	0.416	-0.137	-0.393	-0.472	0.073	-0.053
190	-0.333	-0.112	-0.079	0.416	-0.137	-0.393	-0.472	0.073	-0.053
191	-0.333	-0.112	-0.079	-0.041	-0.137	-0.393	-0.472	0.073	-0.053
192	-0.333	-0.112	-0.079	-0.041	-0.137	-0.393	-0.472	-0.704	-0.053
193	-0.333	-0.112	-0.079	0.416	-0.137	-0.393	-0.472	0.073	-0.053
194	-0.333	-0.112	-0.079	-0.041	-0.137	-0.393	-0.472	0.073	-0.053
195	-0.333	-0.112	-0.079	1.551	-0.137	-0.393	-0.472	0.073	-0.053
196	-0.333	-0.112	-0.079	-0.041	-0.137	-0.393	-0.472	0.073	-0.053
197	-0.333	-0.112	-0.079	-0.041	-0.137	-0.393	-0.472	0.073	-0.053
198	-0.333	-0.112	-0.079	-0.041	-0.137	-0.393	-0.472	0.073	-0.053
199	-0.333	-0.112	-0.079	-0.497	-0.137	-0.393	-0.472	0.073	-0.053
200	-0.333	-0.112	-0.079	-0.497	-0.137	-0.393	-0.472	0.073	-0.053
201	-0.333	-0.112	-0.079	-0.041	-0.137	-0.393	-0.472	0.073	-0.053
202	-0.333	-0.112	-0.079	-0.041	-0.137	-0.393	-0.472	0.073	-0.053
203	-0.333	-0.112	-0.079	-0.735	-0.137	-0.393	-0.472	0.073	-0.053
204	-0.333	-0.112	-0.079	0.416	-0.137	-0.393	-0.472	0.073	-0.053
205	1.052	1.918	-0.709	0.416	0.791	1.431	1.516	1.544	-0.053
206	-0.333	-0.112	-0.079	-1.191	-0.137	-0.393	-0.472	-0.704	-0.053
207	0.185	-4.170	-0.079	-1.870	-1.629	-0.956	-0.472	-0.704	-1.442
208	-0.333	0.902	0.544	-0.041	-0.137	-0.393	-0.472	-0.704	-0.053
209	-0.333	-1.127	-1.921	-1.176	-1.085	-2.780	-0.472	-1.398	-0.053
210	0.185	-0.112	-0.079	-0.041	0.334	-0.393	1.573	0.073	-0.053
211	-0.333	-0.112	-0.079	-0.041	-0.137	-0.393	-0.472	-0.704	-0.053
212	-0.333	-0.112	-0.079	1.110	-0.137	-0.393	-0.472	0.849	-0.053
213	0.185	0.902	-0.079	1.788	-0.137	1.361	0.692	0.073	-0.053
214	-0.333	-0.112	-0.079	-0.041	-0.137	-0.393	-0.472	0.073	-0.053
215	0.534	-2.141	-0.710	-1.870	-1.542	-2.780	-1.207	-2.175	-1.795
216	-2.582	-2.141	-2.544	-1.870	-2.628	-2.832	-1.336	-2.951	-0.749
217	-1.715	-2.141	-2.544	-0.735	-1.648	-0.393	-0.860	0.073	-1.099
218	-0.333	-0.112	-0.079	0.416	-0.137	-0.393	-0.472	0.073	-0.053
219	2.219	-1.127	-0.079	-0.041	-1.594	-0.956	-0.124	-0.704	0.296
220	0.185	-0.112	-0.079	-0.041	0.339	1.431	-0.101	0.073	-0.053
221	2.736	1.918	2.386	2.245	2.354	1.994	2.420	2.320	0.642
222	0.185	-0.112	-0.750	-1.429	-0.137	-1.026	-2.151	0.073	-1.791
223	-0.333	-1.127	-0.701	-2.326	-3.100	-2.205	-0.472	-0.622	-0.749
224	0.185	-0.112	-0.079	0.416	-0.137	-0.393	-0.472	-0.704	-0.749
225	0.185	0.902	0.544	1.094	-0.090	1.994	2.420	2.320	0.639
226	0.185	-0.112	-0.079	-0.041	-0.137	1.431	0.669	-0.704	-0.053
227	-0.850	-2.141	-2.544	-1.632	-2.157	-2.780	-1.710	-2.175	-1.442
228	-1.152	-0.112	-0.079	0.416	-0.137	0.240	-0.472	1.544	-2.487
229	1.399	-0.112	-0.079	-0.497	-0.137	-0.956	1.961	-0.704	-0.053
230	1.917	1.918	2.386	1.094	2.354	1.994	2.420	2.320	-0.393
231	-0.333	-0.112	-0.079	-0.041	-0.137	-0.393	-0.472	0.073	-0.053
232	-0.333	0.902	-0.079	0.416	-0.137	-0.393	-0.472	0.073	-0.053
233	0.534	-0.112	-0.079	1.551	-0.137	-0.393	-0.472	0.073	-0.053
234	-0.333	-0.112	1.756	-0.735	-0.137	-0.393	-0.472	-0.704	-0.053
235	-0.333	-0.112	-0.079	-1.191	-0.137	-0.393	-0.472	-0.704	-0.053
236	-0.333	-0.112	-0.079	-1.870	-0.137	-0.393	0.326	0.073	-0.053
237	-0.333	-0.112	-0.079	-1.191	-0.137	-0.393	-0.472	-0.704	-0.053
238	-0.333	-1.125	-0.079	-0.041	-0.137	0.222	1.943	0.073	-0.053
239	-0.333	-0.112	-0.079	-1.191	-0.137	-0.393	-0.472	-0.704	-0.053
240	0.185	-0.112	0.503	-0.041	0.334	1.994	-0.101	0.073	-0.053
241	0.185	0.902	-0.079	1.110	-0.137	-0.393	-0.124	1.544	-0.053
242	-0.333	-0.112	-0.079	-0.041	-0.137	-0.393	-0.472	0.073	-0.053
243	-0.333	0.902	-0.079	1.094	1.374	1.994	0.634	1.544	-0.053
244	0.185	-0.112	-0.079	0.653	-0.137	0.803	-0.101	0.073	-0.053
245	-0.333	-0.112	-0.079	-0.735	-0.137	-0.393	-0.472	-0.704	0.639
246	2.736	-0.112	-0.079	-0.041	0.334	-0.393	1.039	0.073	1.688
247	-0.333	-0.112	-0.079	-0.497	-0.137	-0.393	-0.916	0.073	-0.053
248	-0.333	-2.141	-2.544	-1.870	-1.070	-1.026	-1.287	-2.175	-1.442
249	0.882	-4.170	-1.291	-1.870	-1.695	-0.393	0.803	-0.704	-1.442
250	-0.333	-0.112	-0.079	-0.497	-0.137	-0.393	-0.472	-0.704	-0.053
251	-0.333	-0.112	-0.079	-1.191	-0.137	-0.393	-0.472	-0.704	-0.053
252	-2.019	-0.112	0.552	0.400	-1.118	-0.393	-0.435	-0.704	-1.442
253	-2.019	-0.112	-0.079	-0.953	-0.137	-0.393	-0.472	0.073	-0.053
254	-0.333	-0.112	-0.079	-0.041	-0.137	-0.393	-0.472	0.073	-0.053
255	0.185	1.918	-0.079	2.245	0.902	1.994	1.975	1.544	0.992
256	0.017	-0.112	-0.079	-0.279	-0.594	0.240	-0.489	0.073	-3.183
257	-0.333	-1.125	0.552	0.638	2.354	1.431	-1.999	-0.704	0.992
258	-0.333	-0.112	-2.544	-0.041	-0.137	-0.393	1.191	0.849	-2.487
259	-0.850	-0.112	-1.913	-2.326	-1.676	-1.589	-1.710	0.073	-2.487
260	-0.333	-0.112	-0.079	0.416	-0.137	0.222	-0.101	-1.480	-0.746
261	0.185	-0.112	-0.079	-0.279	-0.137	1.431	-0.084	0.073	-0.746
262	-2.065	-0.112	-0.709	-0.041	-0.137	-0.393	-0.916	0.073	-0.053
263	-2.582	-0.112	-1.914	0.416	-1.158	-0.380	-2.057	-0.704	-1.791
264	-0.333	-0.112	-0.079	0.653	-1.085	-0.393	-2.057	-0.704	-0.053
265	-0.850	-0.112	-2.544	0.416	0.339	-0.393	-1.652	0.849	-0.053
266	-0.333	-0.112	-0.079	-0.279	-1.118	-0.393	0.798	-0.704	-0.053
267	-0.333	-0.112	-0.079	-0.497	-0.137	-0.393	-0.546	-0.704	-0.053
268	-0.333	-0.112	-0.079	-1.191	-0.137	-0.393	-0.431	-0.704	-0.053
269	0.185	-0.112	-0.079	-0.735	-0.594	-0.393	2.050	-0.704	1.335
270	-0.333	-0.112	-0.079	-0.953	-0.137	0.183	-0.124	0.073	-0.053
271	0.532	-0.112	-0.079	-0.953	-0.137	0.222	-0.084	0.073	-0.053
272	-0.333	0.902	-0.079	-0.041	-0.137	-0.956	0.376	0.073	-0.053
273	-0.333	-0.112	-0.079	-0.497	-0.594	-0.956	-0.472	-0.704	-0.053
274	-0.333	-0.112	-0.079	-0.497	-0.137	-0.393	-0.472	0.073	-0.053
275	-0.333	-0.112	-0.079	-0.041	-0.137	-0.393	0.353	0.849	-0.053
276	-0.333	-0.112	-0.079	0.416	-0.137	-0.393	1.185	0.073	0.992
277	0.185	0.902	-0.079	1.110	-0.137	-0.393	0.263	0.073	-0.053
278	0.185	-0.112	-0.079	-0.041	0.339	1.994	1.182	0.073	-0.053
279	-0.333	-0.112	-0.079	-0.041	-0.137	-0.393	-0.472	0.073	-0.053
280	-0.333	-0.112	-0.079	-0.735	-0.137	-0.393	-0.472	-0.704	-0.053
281	-0.333	-0.112	-0.079	1.110	-0.137	-0.393	-0.472	0.073	-0.053
282	-0.333	-0.112	-0.079	0.416	-0.137	-0.393	-0.472	0.073	-0.053
283	-0.333	-0.112	-0.079	0.416	-0.137	-0.393	-0.084	0.073	-0.053
284	-0.333	-0.112	-0.079	-0.041	-0.137	-0.393	-0.472	0.073	-0.053
285	0.185	-0.112	-0.079	-0.041	-0.137	-0.393	-0.472	0.073	-0.053
286	-0.333	-0.112	-0.079	-0.279	-0.137	-0.393	-0.101	-0.704	-0.053
287	-0.333	-0.112	-0.079	0.197	-0.137	-0.393	0.005	0.073	-0.053
288	-0.333	-0.112	-0.079	-0.041	-0.137	-0.393	-0.101	0.073	-0.053
289	-0.333	-0.112	-0.079	0.416	-0.137	-0.393	2.420	1.544	0.642
290	-0.333	-0.112	-0.079	1.110	0.796	1.994	-0.472	0.073	-0.053
291	-0.333	-0.112	-0.079	-0.497	-0.137	-0.393	-0.472	0.073	-0.053
292	-0.333	-0.112	-0.079	-0.041	-0.137	-0.393	-0.472	0.849	-0.053
293	-0.333	-0.112	-0.079	-0.497	-0.137	-0.393	-0.101	0.849	1.335
294	-0.333	-0.112	-0.079	-0.497	-0.137	-0.393	0.358	0.073	2.380
295	-0.333	-0.112	-0.079	0.653	-0.137	-0.393	0.246	0.073	-0.053
296	2.736	1.918	1.133	2.245	2.354	1.994	2.420	0.849	2.380
297	2.736	-0.112	-0.079	1.110	-0.137	-0.393	1.240	0.073	1.688
298	0.185	-0.112	-0.079	-0.041	-0.137	0.222	0.393	0.073	0.642
299	-0.333	-0.112	-0.079	0.416	-0.137	-0.393	0.812	0.073	-0.053

	Mean	Median	Observed min	Observed max	Standard deviation	Excess kurtosis	Skewness	Number of observations used	Cramér-von Mises test statistic
Appraisal	0.000	-0.333	-3.402	2.736	1.000	2.306	0.949	300.000	6.069
Appreciative	0.000	-0.112	-4.170	1.918	1.000	3.222	-0.495	300.000	8.851
Distributive	-0.000	-0.079	-2.544	2.386	1.000	2.129	0.081	300.000	8.800
Facilitative	-0.000	-0.041	-2.564	2.245	1.000	0.168	0.245	300.000	1.005
Informational	0.000	-0.137	-3.100	2.354	1.000	1.723	0.464	300.000	7.141
Interpersonal	0.000	-0.393	-2.832	1.994	1.000	0.707	0.648	300.000	8.095
Mutual	-0.000	-0.472	-2.516	2.420	1.000	0.783	0.919	300.000	4.255
Paternalistic	-0.000	0.073	-3.646	2.320	1.000	1.614	0.140	300.000	3.233
Procedural	0.000	-0.053	-3.183	2.380	1.000	1.922	0.043	300.000	5.741

Indicator data (standardized)

Case index	Appraisal	Appreciative	Distributive	Facilitative	Informational	Interpersonal	Mutual	Paternalistic	Procedural	LEADERSHIP x FAIRNESS
0	-0.333	-0.112	-0.079	-0.041	-0.137	-0.393	-0.472	-0.704	-0.746	-0.357
1	-0.333	-0.112	-0.079	-1.632	-2.105	-0.393	-0.472	-2.175	-0.053	0.409
2	-0.333	-1.127	-0.079	-0.041	-0.137	-0.393	-0.472	0.073	-0.053	-0.378
3	1.869	-0.112	-0.079	0.416	-0.137	0.183	1.596	0.073	0.639	-0.423
4	-2.884	-0.112	-0.079	0.416	0.426	1.994	-1.942	-0.704	-0.746	-0.489
5	-0.333	-0.112	-0.709	-1.632	-1.608	-0.393	-0.836	-0.704	-1.442	0.324
6	-0.333	-0.112	-0.079	-1.632	-0.660	-0.393	-0.836	-0.704	-1.442	0.011
7	-0.333	1.918	-0.079	-0.041	-0.137	0.183	2.015	-0.704	-0.053	-0.446
8	1.050	1.918	0.544	2.245	1.407	0.240	2.073	0.073	0.992	0.613
9	-1.670	-0.112	-1.331	-2.326	-1.177	-2.205	-0.877	-2.175	-3.183	2.173
10	-0.333	-0.112	-0.079	-0.041	-0.137	-0.393	-0.472	0.073	-0.053	-0.432
11	-1.717	-0.112	-1.921	-0.041	-0.137	-0.393	-2.516	-0.704	-3.180	-0.110
12	-1.670	-0.112	-1.913	-0.041	-0.594	-0.393	-2.427	-0.704	-0.749	-0.207
13	-0.850	0.902	1.133	1.332	1.897	-0.380	0.430	2.320	-1.442	0.138
14	-0.805	-2.141	-2.544	-0.735	-0.137	-0.393	-0.949	-1.398	-1.442	0.976
15	0.185	-0.112	-0.079	-1.191	-0.137	0.183	2.420	0.073	0.992	-0.510
16	-0.333	-0.112	-0.079	0.653	-0.137	-0.393	-0.472	0.073	-0.053	-0.468
17	1.917	0.904	2.386	-0.041	2.354	1.994	0.246	2.320	-0.053	1.241
18	-0.333	-0.112	-0.079	-1.191	-0.137	-0.393	-0.472	-0.704	-0.053	-0.334
19	0.185	0.904	-0.079	2.245	1.267	1.994	0.781	1.544	-0.746	0.541
20	-1.368	-0.112	1.182	0.653	-0.137	0.183	-0.084	1.544	-0.053	-0.256
21	1.917	-0.113	2.386	1.551	2.354	1.994	1.093	2.320	1.684	1.929
22	-0.333	-0.112	-0.079	-0.735	-0.137	-0.393	-0.472	0.073	-0.749	-0.362
23	-0.333	-0.112	-0.079	-0.041	-0.137	-0.393	-0.472	0.073	-0.053	-0.432
24	-0.333	-0.112	-0.079	-0.041	-0.137	1.431	-1.393	0.073	-0.749	-0.441
25	-0.333	-0.112	-0.079	-1.191	-0.137	-0.393	-0.472	-0.704	-0.053	-0.334
26	-0.333	-0.112	-0.701	-0.041	-1.136	-0.393	-0.472	-0.704	-0.053	-0.282
27	2.736	1.918	2.386	2.245	2.354	1.994	2.420	-0.009	2.380	2.477
28	-0.333	-2.141	-0.079	-1.176	-0.137	-0.393	-0.472	-1.398	-0.053	-0.192
29	-0.333	0.902	-0.079	-0.041	0.810	1.994	-0.472	0.073	-0.053	-0.229
30	-0.333	-0.112	-1.921	-1.176	-0.660	-0.393	-0.472	-1.398	-2.487	0.597
31	0.185	-0.112	0.552	-0.041	-0.137	0.183	0.005	-0.704	-0.749	-0.434
32	0.185	-0.112	-0.079	-0.041	-0.137	0.183	1.111	0.073	-0.053	-0.436
33	2.736	1.918	2.386	2.245	2.354	1.994	1.943	2.320	0.992	3.454
34	-0.333	-0.112	-0.079	-0.041	0.898	-0.393	-0.472	0.073	0.992	-0.446
35	0.185	-4.170	-2.544	-0.497	-1.594	-0.393	-0.101	0.073	-2.487	2.038
36	0.185	-1.127	-1.962	-0.497	-0.137	1.431	0.358	-0.704	-2.487	0.054
37	-0.333	-0.112	-0.079	-0.512	-0.137	-0.393	-0.472	-0.704	2.380	-0.572
38	-0.333	-0.112	-0.079	-0.735	-0.137	-0.393	-0.472	-0.704	-1.795	-0.188
39	-0.333	-0.112	-0.079	-0.497	-0.137	-0.393	-0.472	0.073	-0.053	-0.409
40	0.185	-0.112	-0.079	0.653	-0.137	-0.393	0.634	0.073	-0.053	-0.468
41	-0.333	-0.112	-0.079	-0.497	-0.660	-0.393	-0.472	0.073	-0.053	-0.384
42	1.354	-0.112	0.544	0.653	0.339	1.994	1.556	0.849	1.688	0.013
43	-0.333	-0.112	-0.079	-0.041	-0.137	-0.393	-0.472	-0.704	-0.053	-0.394
44	0.532	-0.112	-0.079	-0.041	0.334	-0.393	-0.124	0.073	0.639	-0.440
45	-0.333	-0.112	-0.079	0.416	-0.137	-0.393	-0.472	0.073	-0.053	-0.456
46	1.917	-0.112	2.386	-1.191	-0.137	-0.393	-0.101	-0.704	0.639	-0.794
47	0.534	-0.112	0.503	1.110	-0.660	0.222	-0.084	0.073	0.642	-0.394
48	-0.333	-0.112	0.551	-1.206	0.810	0.170	-0.472	-1.480	-0.053	-0.770
49	-0.333	-0.112	-0.079	-0.041	-0.137	-0.393	-0.472	-0.704	-0.053	-0.394
50	-0.333	-0.112	-0.079	0.416	2.354	1.994	-0.472	2.320	-0.053	0.442
51	-0.333	-0.112	-0.079	-0.041	-0.137	-0.393	-0.472	0.073	-1.442	-0.425
52	-0.333	-0.112	-0.079	-0.041	-1.608	-2.217	-0.748	-0.704	-0.746	-0.134
53	0.185	-1.127	-2.544	-2.326	-1.136	-1.571	-0.119	-3.646	1.684	1.705
54	-0.333	-0.112	0.503	-0.041	-0.137	-0.393	-0.877	0.073	-0.053	-0.436
55	-0.333	-0.112	-0.079	-0.041	-0.137	-0.393	-0.877	0.073	-1.795	-0.423
56	-0.333	1.918	-0.079	1.551	0.334	1.431	2.420	1.544	-0.053	0.217
57	-0.333	1.918	-0.079	1.788	-0.137	-0.393	-0.472	2.320	-0.053	-0.747
58	-0.333	-0.112	-0.079	1.110	-0.137	-0.393	-0.472	2.320	-0.053	-0.603
59	-3.402	-1.127	-2.544	0.416	-2.628	-0.393	-1.669	-1.398	-0.053	0.518
60	-0.333	0.904	-0.079	1.788	-0.137	-0.393	0.376	2.320	-0.053	-0.693
61	-0.333	1.918	-0.079	1.110	1.267	1.431	-1.281	0.849	-1.442	0.040
62	-0.333	-0.112	-0.079	1.094	-0.137	-0.393	-0.472	0.073	-0.053	-0.491
63	0.534	-1.127	0.544	1.551	0.810	-0.956	-0.158	-0.704	1.684	-0.481
64	-1.670	-0.112	-0.079	-0.735	-1.085	-0.956	-1.304	0.073	-0.746	-0.265
65	0.532	-0.112	-0.079	-0.041	0.320	-0.393	-0.101	0.073	-0.053	-0.436
66	-0.033	-2.141	-0.120	-2.564	-0.559	1.994	0.025	-0.009	0.289	-0.991
67	-1.152	-0.112	-1.332	-0.041	-0.137	-0.393	-0.931	0.073	-0.053	-0.424
68	1.917	0.902	1.804	-0.041	2.354	1.994	1.975	0.849	-0.749	0.329
69	1.917	1.918	1.133	1.551	-0.137	0.816	1.484	0.073	2.380	0.609
70	1.052	-0.112	1.133	-0.735	-0.137	-0.393	-0.448	-0.704	1.684	-0.668
71	-0.333	-0.112	-0.079	-1.191	-0.137	-0.393	-0.472	-0.704	-0.053	-0.334
72	0.185	1.918	2.386	2.245	-0.137	1.994	-0.066	1.544	-0.053	1.401
73	-0.333	1.918	-0.079	-0.735	-1.118	-0.393	-0.101	-2.175	-0.749	-0.287
74	-0.333	-0.112	-0.079	-0.041	-0.137	-0.393	-0.472	0.073	-0.053	-0.432
75	-0.333	-0.112	-0.079	-0.041	-0.137	-0.393	-0.472	0.073	-0.053	-0.432
76	-0.333	-0.112	-0.079	-1.191	-0.137	-0.393	-0.472	-0.704	-0.053	-0.334
77	-0.333	-0.112	-0.079	-0.041	-0.137	-0.393	0.263	0.073	-0.053	-0.432
78	0.185	-0.112	-0.079	-0.041	-0.137	-0.393	-0.472	0.073	0.992	-0.438
79	2.736	1.918	2.386	2.245	2.354	1.994	0.326	0.849	0.639	2.488
80	1.399	-0.112	2.386	0.416	-0.137	-0.393	1.570	0.073	-0.053	-0.386
81	-1.152	-0.112	-2.544	-0.041	-0.137	-0.969	-0.472	0.073	-0.053	-0.412
82	0.185	1.918	0.552	1.094	1.421	-0.393	0.263	1.544	2.380	0.868
83	1.917	-0.112	-0.079	0.416	-0.137	-0.393	-0.101	0.073	0.639	-0.439
84	-0.333	-0.112	-0.079	-1.191	-0.137	-0.393	-0.472	-0.704	-0.053	-0.334
85	0.185	-0.112	-0.079	-0.041	-0.137	1.431	1.168	0.073	-0.053	-0.444
86	0.185	-0.112	-0.079	2.245	0.233	0.253	0.821	-1.480	-0.053	-0.416
87	-0.333	-0.112	-0.661	-0.041	1.831	1.994	0.246	-0.704	-0.053	-0.652
88	2.736	1.918	2.386	0.163	2.354	1.994	2.420	2.320	2.380	2.594
89	-0.333	-0.112	-0.701	-0.041	-0.137	-0.393	-0.472	0.073	-1.442	-0.420
90	-1.152	-0.112	-0.079	-0.735	-0.137	-0.393	-0.472	-0.704	0.992	-0.460
91	0.185	-0.112	-0.079	0.416	-0.137	-0.393	0.375	0.073	-0.746	-0.472
92	0.534	0.904	0.503	-1.176	-0.137	0.803	1.484	-0.704	0.642	-0.555
93	-0.333	-0.112	-0.079	-1.191	-0.137	-0.393	-0.472	-0.704	-0.053	-0.334
94	-0.333	-0.112	-0.079	-0.041	-0.137	-0.393	-0.013	-0.704	-0.053	-0.394
95	-0.333	-0.112	0.544	-1.191	-0.137	-0.393	0.781	-0.704	-0.053	-0.428
96	0.185	-0.112	-1.962	-1.176	-2.628	-2.780	-0.084	-2.175	-0.053	1.572
97	-0.850	-0.112	0.551	-0.041	1.267	-0.393	-0.512	0.073	-0.053	-0.447
98	1.004	-0.112	-0.079	-0.041	-0.137	-0.393	0.634	-0.704	-0.053	-0.394
99	0.185	-1.125	-0.079	-1.870	-0.594	-0.393	-0.472	0.073	-0.053	-0.167
100	-0.333	-0.112	-0.079	0.416	-0.137	-0.393	-0.472	0.073	-0.053	-0.456
101	-0.333	-0.112	-0.079	-0.041	-0.137	-0.393	0.263	0.073	-0.053	-0.432
102	-0.333	-0.112	-0.079	-0.041	-0.137	-0.393	-0.472	0.073	-0.053	-0.432
103	1.052	-0.112	1.804	1.094	2.354	1.994	1.498	2.320	0.293	1.209
104	1.050	-2.141	-0.079	-0.041	-0.118	-0.393	-0.101	0.073	1.688	-0.571
105	-0.333	-0.112	-0.079	-0.041	-0.137	-0.393	-0.472	0.073	-0.053	-0.432
106	0.882	1.918	-0.079	1.094	2.354	1.431	1.151	2.320	-0.057	1.176
107	1.052	-0.112	-0.079	-0.041	0.339	-0.393	2.420	0.073	-0.053	-0.436
108	0.185	1.918	2.386	-0.041	2.354	1.994	1.644	-3.646	2.380	-1.512
109	0.185	-0.112	-0.079	-0.041	-0.137	1.431	0.246	0.073	-0.053	-0.444
110	-0.333	0.902	1.125	0.416	-0.137	1.431	0.263	-0.704	1.684	-0.240
111	-0.333	-0.112	-0.079	-0.497	-0.137	-0.393	-0.472	-0.704	-0.053	-0.370
112	0.185	1.918	-0.079	-1.191	0.339	1.431	0.763	-0.704	2.380	-0.400
113	2.736	1.918	2.386	0.182	2.354	1.994	2.420	1.544	2.380	2.091
114	-0.333	-0.112	-0.079	-1.191	-0.137	-0.393	-0.472	-0.704	-0.053	-0.334
115	0.185	-0.112	-2.544	0.416	-2.171	-0.393	-0.101	0.073	-0.053	-0.589
116	1.352	-2.141	-1.332	0.416	-0.189	-0.943	-0.142	-0.704	-0.749	0.158
117	0.185	1.918	-0.079	1.551	1.333	1.431	0.416	0.767	-3.180	-0.366
118	-0.333	-0.112	-0.079	-1.191	-0.609	-0.393	-0.472	0.073	-0.053	-0.323
119	-0.333	-1.125	-0.079	-1.176	-2.628	-0.393	-0.805	0.073	-0.053	0.166
120	-1.152	-0.112	-0.079	-0.041	-0.137	-0.393	-0.916	-0.704	-0.053	-0.394
121	-0.333	0.904	-0.079	0.400	0.810	0.183	-0.472	-0.704	-0.053	-0.388
122	0.185	-0.112	-0.079	-0.041	0.916	1.994	1.943	0.073	2.380	-0.469
123	-0.333	-0.112	-0.079	-1.191	-0.137	-0.393	-0.472	-0.704	-0.053	-0.334
124	1.050	1.918	2.386	0.653	1.897	-0.393	2.420	-0.704	1.684	0.393
125	1.917	0.902	-2.544	-0.720	-0.594	-0.393	0.335	-0.704	0.639	-0.329
126	-0.333	-0.112	-0.079	-0.497	-0.137	-0.393	-0.472	0.073	-0.053	-0.409
127	-0.333	-0.112	-0.079	-1.191	-0.137	-0.393	-0.472	-0.704	-0.053	-0.334
128	-1.670	-0.112	-0.701	-0.497	-0.137	-0.969	-1.723	0.073	-1.795	-0.299
129	-0.333	-0.112	1.125	-0.497	-0.137	1.431	-0.101	0.767	0.642	-0.408
130	0.185	-0.112	-0.079	-0.497	-0.137	-0.393	-0.124	0.073	-0.746	-0.385
131	-1.152	-0.112	-0.079	-0.041	-0.137	-0.393	-0.472	0.073	-0.746	-0.428
132	-0.333	-0.112	1.755	-0.056	-0.137	0.183	0.281	-1.480	-0.053	-0.649
133	0.232	-0.112	-0.079	-0.041	-0.137	0.798	-0.027	0.073	1.335	-0.448
134	1.352	-1.125	-0.079	-0.041	0.334	1.379	0.246	-0.704	-0.053	-0.675
135	-0.333	-0.112	-0.079	-1.191	-0.137	1.431	-0.472	-0.704	-0.053	-0.614
136	0.185	-0.112	-0.079	-0.497	-0.137	0.222	-0.472	0.073	-0.746	-0.411
137	-0.333	-0.112	-0.079	-0.041	-0.137	-0.393	-0.472	0.073	-0.053	-0.432
138	1.184	-1.127	1.133	0.400	0.898	0.868	1.556	1.544	0.639	-0.243
139	-0.333	-0.112	-2.544	-0.497	-0.137	-0.393	-0.101	0.073	-0.749	-0.283
140	-0.850	-0.112	-0.079	-1.191	0.334	-0.393	0.651	-0.704	0.989	-0.546
141	1.871	1.918	1.764	1.788	1.897	1.994	1.587	0.767	1.684	2.088
142	-0.333	0.904	-0.079	-1.429	2.354	-0.393	0.358	0.767	-0.053	-0.395
143	2.736	1.918	1.125	1.551	1.440	1.994	2.420	2.320	0.992	2.029
144	-0.333	-2.141	-0.079	-0.735	-0.137	-0.393	-0.472	-1.480	-0.053	-0.210
145	-0.333	-0.112	0.503	-0.041	-0.137	-0.393	-0.472	0.073	-0.053	-0.436
146	-0.333	-3.155	-0.079	-0.041	-0.137	-0.393	-0.472	-0.704	-0.053	-0.230
147	-1.198	-0.112	-0.079	-1.176	-1.172	-0.393	-0.472	0.073	-1.442	-0.158
148	0.185	-2.141	-0.701	-0.720	-2.628	-0.956	-0.842	0.073	-0.749	0.715
149	2.736	1.918	2.386	2.245	2.354	1.994	2.420	2.320	2.380	4.026
150	2.736	1.918	2.386	2.245	2.354	1.994	2.420	2.320	2.380	4.026
151	-0.333	-0.112	-0.079	2.245	-0.137	-0.393	-0.472	0.073	-0.053	-0.550
152	-0.333	-0.112	-0.079	0.653	-0.137	-0.393	-0.546	0.073	-0.053	-0.468
153	2.736	-0.112	2.386	2.245	2.354	1.994	1.628	0.849	0.992	1.332
154	2.736	1.918	2.386	2.245	2.354	1.994	2.420	2.320	2.380	4.026
155	2.736	1.918	2.386	2.245	2.354	1.994	2.420	2.320	2.380	4.026
156	-0.333	-0.112	-0.079	0.416	-0.137	-0.393	-0.101	0.849	-0.053	-0.494
157	-0.333	-0.112	-0.079	0.653	-0.137	-0.393	-0.472	0.073	-0.053	-0.468
158	1.050	-0.112	-0.079	-0.497	-0.137	-0.393	-0.101	0.073	-0.053	-0.409
159	1.917	1.918	1.174	1.110	2.354	1.994	1.498	2.320	2.380	2.752
160	-0.333	-0.112	-0.079	-0.041	-0.137	-0.393	-0.472	0.073	-0.053	-0.432
161	0.532	-0.112	-0.079	-1.191	0.320	-0.393	-0.472	-0.704	-0.749	-0.324
162	-0.333	-0.112	-0.079	-0.497	-0.137	-0.393	-0.472	0.073	-0.053	-0.409
163	-0.333	-0.112	-0.079	-0.497	-0.137	0.183	-0.124	0.073	-0.749	-0.409
164	-1.152	-2.141	-2.544	-1.176	-2.105	-0.393	-0.472	-2.175	-0.746	2.050
165	-0.333	0.904	1.764	-1.647	-0.137	-0.956	-0.472	-0.704	-0.749	-0.438
166	-1.152	-0.112	-0.079	-0.735	-2.157	-0.956	-0.472	-1.480	-0.746	0.274
167	-0.333	-0.112	-0.079	0.416	-0.660	-0.393	-0.472	0.073	-0.053	-0.472
168	-1.152	-0.112	-0.079	-0.041	-0.137	-0.393	-0.472	0.073	-0.053	-0.432
169	-0.333	-2.141	-0.079	-1.176	-1.681	-0.393	-0.472	-2.175	-0.053	0.574
170	0.185	1.918	-0.079	0.653	1.374	1.994	-0.472	1.544	-0.053	0.650
171	-0.333	-2.141	1.764	-1.870	-2.152	-0.393	0.746	-0.704	1.335	-0.459
172	-0.333	-0.112	-0.079	0.416	-0.137	-0.393	-0.472	0.073	-0.053	-0.456
173	-0.333	-0.112	-0.079	0.416	-0.137	-0.393	-0.124	0.849	-0.053	-0.494
174	-0.333	1.918	-0.079	1.110	-0.137	-0.393	-0.124	0.849	-0.053	-0.639
175	-0.333	-0.112	-0.079	0.416	-0.137	-0.393	-0.472	0.849	-0.053	-0.494
176	2.736	1.918	2.386	2.245	2.354	1.994	2.420	0.849	2.380	3.048
177	2.736	1.918	2.386	1.551	2.354	1.994	2.420	0.849	2.380	2.571
178	-0.333	-0.112	-0.079	1.551	-0.137	-0.393	-0.472	0.849	-0.053	-0.553
179	-0.333	-0.112	-0.079	-0.041	-0.137	-0.393	-0.819	-0.704	-0.053	-0.394
180	-0.333	-0.112	-0.079	-0.041	-0.137	-0.393	-0.472	0.073	-0.053	-0.432
181	-0.333	-0.112	-0.079	0.416	-0.137	-0.393	-0.472	0.073	-0.053	-0.456
182	-0.333	-0.112	-0.079	1.110	-0.137	-0.393	-0.472	0.849	-0.053	-0.530
183	-0.333	-0.112	-0.079	-0.041	-0.137	-0.393	0.353	0.073	-0.053	-0.432
184	-0.333	-0.112	-0.079	1.110	-0.137	-0.393	-0.472	0.849	-0.053	-0.530
185	-0.333	1.918	-0.079	0.416	-0.137	-0.393	-0.472	0.849	-0.053	-0.603
186	-0.333	-0.112	-0.079	0.416	-0.137	-0.393	-0.472	0.073	-0.053	-0.456
187	-0.333	-0.112	-0.079	0.416	-0.137	-0.393	-0.472	0.073	-0.053	-0.456
188	-0.333	-0.112	-0.079	0.416	-0.137	-0.393	-0.101	0.849	-0.053	-0.494
189	-0.333	-0.112	-0.079	0.416	-0.137	-0.393	-0.472	0.073	-0.053	-0.456
190	-0.333	-0.112	-0.079	0.416	-0.137	-0.393	-0.472	0.073	-0.053	-0.456
191	-0.333	-0.112	-0.079	-0.041	-0.137	-0.393	-0.472	0.073	-0.053	-0.432
192	-0.333	-0.112	-0.079	-0.041	-0.137	-0.393	-0.472	-0.704	-0.053	-0.394
193	-0.333	-0.112	-0.079	0.416	-0.137	-0.393	-0.472	0.073	-0.053	-0.456
194	-0.333	-0.112	-0.079	-0.041	-0.137	-0.393	-0.472	0.073	-0.053	-0.432
195	-0.333	-0.112	-0.079	1.551	-0.137	-0.393	-0.472	0.073	-0.053	-0.514
196	-0.333	-0.112	-0.079	-0.041	-0.137	-0.393	-0.472	0.073	-0.053	-0.432
197	-0.333	-0.112	-0.079	-0.041	-0.137	-0.393	-0.472	0.073	-0.053	-0.432
198	-0.333	-0.112	-0.079	-0.041	-0.137	-0.393	-0.472	0.073	-0.053	-0.432
199	-0.333	-0.112	-0.079	-0.497	-0.137	-0.393	-0.472	0.073	-0.053	-0.409
200	-0.333	-0.112	-0.079	-0.497	-0.137	-0.393	-0.472	0.073	-0.053	-0.409
201	-0.333	-0.112	-0.079	-0.041	-0.137	-0.393	-0.472	0.073	-0.053	-0.432
202	-0.333	-0.112	-0.079	-0.041	-0.137	-0.393	-0.472	0.073	-0.053	-0.432
203	-0.333	-0.112	-0.079	-0.735	-0.137	-0.393	-0.472	0.073	-0.053	-0.396
204	-0.333	-0.112	-0.079	0.416	-0.137	-0.393	-0.472	0.073	-0.053	-0.456
205	1.052	1.918	-0.709	0.416	0.791	1.431	1.516	1.544	-0.053	0.036
206	-0.333	-0.112	-0.079	-1.191	-0.137	-0.393	-0.472	-0.704	-0.053	-0.334
207	0.185	-4.170	-0.079	-1.870	-1.629	-0.956	-0.472	-0.704	-1.442	1.707
208	-0.333	0.902	0.544	-0.041	-0.137	-0.393	-0.472	-0.704	-0.053	-0.438
209	-0.333	-1.127	-1.921	-1.176	-1.085	-2.780	-0.472	-1.398	-0.053	1.255
210	0.185	-0.112	-0.079	-0.041	0.334	-0.393	1.573	0.073	-0.053	-0.436
211	-0.333	-0.112	-0.079	-0.041	-0.137	-0.393	-0.472	-0.704	-0.053	-0.394
212	-0.333	-0.112	-0.079	1.110	-0.137	-0.393	-0.472	0.849	-0.053	-0.530
213	0.185	0.902	-0.079	1.788	-0.137	1.361	0.692	0.073	-0.053	-0.202
214	-0.333	-0.112	-0.079	-0.041	-0.137	-0.393	-0.472	0.073	-0.053	-0.432
215	0.534	-2.141	-0.710	-1.870	-1.542	-2.780	-1.207	-2.175	-1.795	2.755
216	-2.582	-2.141	-2.544	-1.870	-2.628	-2.832	-1.336	-2.951	-0.749	4.324
217	-1.715	-2.141	-2.544	-0.735	-1.648	-0.393	-0.860	0.073	-1.099	0.823
218	-0.333	-0.112	-0.079	0.416	-0.137	-0.393	-0.472	0.073	-0.053	-0.456
219	2.219	-1.127	-0.079	-0.041	-1.594	-0.956	-0.124	-0.704	0.296	-0.063
220	0.185	-0.112	-0.079	-0.041	0.339	1.431	-0.101	0.073	-0.053	-0.448
221	2.736	1.918	2.386	2.245	2.354	1.994	2.420	2.320	0.642	3.310
222	0.185	-0.112	-0.750	-1.429	-0.137	-1.026	-2.151	0.073	-1.791	-0.051
223	-0.333	-1.127	-0.701	-2.326	-3.100	-2.205	-0.472	-0.622	-0.749	1.763
224	0.185	-0.112	-0.079	0.416	-0.137	-0.393	-0.472	-0.704	-0.749	-0.400
225	0.185	0.902	0.544	1.094	-0.090	1.994	2.420	2.320	0.639	0.540
226	0.185	-0.112	-0.079	-0.041	-0.137	1.431	0.669	-0.704	-0.053	-0.511
227	-0.850	-2.141	-2.544	-1.632	-2.157	-2.780	-1.710	-2.175	-1.442	3.646
228	-1.152	-0.112	-0.079	0.416	-0.137	0.240	-0.472	1.544	-2.487	-0.718
229	1.399	-0.112	-0.079	-0.497	-0.137	-0.956	1.961	-0.704	-0.053	-0.314
230	1.917	1.918	2.386	1.094	2.354	1.994	2.420	2.320	-0.393	2.295
231	-0.333	-0.112	-0.079	-0.041	-0.137	-0.393	-0.472	0.073	-0.053	-0.432
232	-0.333	0.902	-0.079	0.416	-0.137	-0.393	-0.472	0.073	-0.053	-0.510
233	0.534	-0.112	-0.079	1.551	-0.137	-0.393	-0.472	0.073	-0.053	-0.514
234	-0.333	-0.112	1.756	-0.735	-0.137	-0.393	-0.472	-0.704	-0.053	-0.572
235	-0.333	-0.112	-0.079	-1.191	-0.137	-0.393	-0.472	-0.704	-0.053	-0.334
236	-0.333	-0.112	-0.079	-1.870	-0.137	-0.393	0.326	0.073	-0.053	-0.338
237	-0.333	-0.112	-0.079	-1.191	-0.137	-0.393	-0.472	-0.704	-0.053	-0.334
238	-0.333	-1.125	-0.079	-0.041	-0.137	0.222	1.943	0.073	-0.053	-0.432
239	-0.333	-0.112	-0.079	-1.191	-0.137	-0.393	-0.472	-0.704	-0.053	-0.334
240	0.185	-0.112	0.503	-0.041	0.334	1.994	-0.101	0.073	-0.053	-0.456
241	0.185	0.902	-0.079	1.110	-0.137	-0.393	-0.124	1.544	-0.053	-0.619
242	-0.333	-0.112	-0.079	-0.041	-0.137	-0.393	-0.472	0.073	-0.053	-0.432
243	-0.333	0.902	-0.079	1.094	1.374	1.994	0.634	1.544	-0.053	0.488
244	0.185	-0.112	-0.079	0.653	-0.137	0.803	-0.101	0.073	-0.053	-0.412
245	-0.333	-0.112	-0.079	-0.735	-0.137	-0.393	-0.472	-0.704	0.639	-0.425
246	2.736	-0.112	-0.079	-0.041	0.334	-0.393	1.039	0.073	1.688	-0.445
247	-0.333	-0.112	-0.079	-0.497	-0.137	-0.393	-0.916	0.073	-0.053	-0.409
248	-0.333	-2.141	-2.544	-1.870	-1.070	-1.026	-1.287	-2.175	-1.442	2.392
249	0.882	-4.170	-1.291	-1.870	-1.695	-0.393	0.803	-0.704	-1.442	2.082
250	-0.333	-0.112	-0.079	-0.497	-0.137	-0.393	-0.472	-0.704	-0.053	-0.370
251	-0.333	-0.112	-0.079	-1.191	-0.137	-0.393	-0.472	-0.704	-0.053	-0.334
252	-2.019	-0.112	0.552	0.400	-1.118	-0.393	-0.435	-0.704	-1.442	-0.367
253	-2.019	-0.112	-0.079	-0.953	-0.137	-0.393	-0.472	0.073	-0.053	-0.385
254	-0.333	-0.112	-0.079	-0.041	-0.137	-0.393	-0.472	0.073	-0.053	-0.432
255	0.185	1.918	-0.079	2.245	0.902	1.994	1.975	1.544	0.992	1.216
256	0.017	-0.112	-0.079	-0.279	-0.594	0.240	-0.489	0.073	-3.183	-0.359
257	-0.333	-1.125	0.552	0.638	2.354	1.431	-1.999	-0.704	0.992	-0.943
258	-0.333	-0.112	-2.544	-0.041	-0.137	-0.393	1.191	0.849	-2.487	-0.698
259	-0.850	-0.112	-1.913	-2.326	-1.676	-1.589	-1.710	0.073	-2.487	0.914
260	-0.333	-0.112	-0.079	0.416	-0.137	0.222	-0.101	-1.480	-0.746	-0.382
261	0.185	-0.112	-0.079	-0.279	-0.137	1.431	-0.084	0.073	-0.746	-0.451
262	-2.065	-0.112	-0.709	-0.041	-0.137	-0.393	-0.916	0.073	-0.053	-0.428
263	-2.582	-0.112	-1.914	0.416	-1.158	-0.380	-2.057	-0.704	-1.791	-0.289
264	-0.333	-0.112	-0.079	0.653	-1.085	-0.393	-2.057	-0.704	-0.053	-0.418
265	-0.850	-0.112	-2.544	0.416	0.339	-0.393	-1.652	0.849	-0.053	-0.659
266	-0.333	-0.112	-0.079	-0.279	-1.118	-0.393	0.798	-0.704	-0.053	-0.291
267	-0.333	-0.112	-0.079	-0.497	-0.137	-0.393	-0.546	-0.704	-0.053	-0.370
268	-0.333	-0.112	-0.079	-1.191	-0.137	-0.393	-0.431	-0.704	-0.053	-0.334
269	0.185	-0.112	-0.079	-0.735	-0.594	-0.393	2.050	-0.704	1.335	-0.433
270	-0.333	-0.112	-0.079	-0.953	-0.137	0.183	-0.124	0.073	-0.053	-0.430
271	0.532	-0.112	-0.079	-0.953	-0.137	0.222	-0.084	0.073	-0.053	-0.433
272	-0.333	0.902	-0.079	-0.041	-0.137	-0.956	0.376	0.073	-0.053	-0.529
273	-0.333	-0.112	-0.079	-0.497	-0.594	-0.956	-0.472	-0.704	-0.053	-0.263
274	-0.333	-0.112	-0.079	-0.497	-0.137	-0.393	-0.472	0.073	-0.053	-0.409
275	-0.333	-0.112	-0.079	-0.041	-0.137	-0.393	0.353	0.849	-0.053	-0.471
276	-0.333	-0.112	-0.079	0.416	-0.137	-0.393	1.185	0.073	0.992	-0.431
277	0.185	0.902	-0.079	1.110	-0.137	-0.393	0.263	0.073	-0.053	-0.546
278	0.185	-0.112	-0.079	-0.041	0.339	1.994	1.182	0.073	-0.053	-0.452
279	-0.333	-0.112	-0.079	-0.041	-0.137	-0.393	-0.472	0.073	-0.053	-0.432
280	-0.333	-0.112	-0.079	-0.735	-0.137	-0.393	-0.472	-0.704	-0.053	-0.358
281	-0.333	-0.112	-0.079	1.110	-0.137	-0.393	-0.472	0.073	-0.053	-0.491
282	-0.333	-0.112	-0.079	0.416	-0.137	-0.393	-0.472	0.073	-0.053	-0.456
283	-0.333	-0.112	-0.079	0.416	-0.137	-0.393	-0.084	0.073	-0.053	-0.456
284	-0.333	-0.112	-0.079	-0.041	-0.137	-0.393	-0.472	0.073	-0.053	-0.432
285	0.185	-0.112	-0.079	-0.041	-0.137	-0.393	-0.472	0.073	-0.053	-0.432
286	-0.333	-0.112	-0.079	-0.279	-0.137	-0.393	-0.101	-0.704	-0.053	-0.381
287	-0.333	-0.112	-0.079	0.197	-0.137	-0.393	0.005	0.073	-0.053	-0.444
288	-0.333	-0.112	-0.079	-0.041	-0.137	-0.393	-0.101	0.073	-0.053	-0.432
289	-0.333	-0.112	-0.079	0.416	-0.137	-0.393	2.420	1.544	0.642	-0.450
290	-0.333	-0.112	-0.079	1.110	0.796	1.994	-0.472	0.073	-0.053	-0.211
291	-0.333	-0.112	-0.079	-0.497	-0.137	-0.393	-0.472	0.073	-0.053	-0.409
292	-0.333	-0.112	-0.079	-0.041	-0.137	-0.393	-0.472	0.849	-0.053	-0.471
293	-0.333	-0.112	-0.079	-0.497	-0.137	-0.393	-0.101	0.849	1.335	-0.429
294	-0.333	-0.112	-0.079	-0.497	-0.137	-0.393	0.358	0.073	2.380	-0.493
295	-0.333	-0.112	-0.079	0.653	-0.137	-0.393	0.246	0.073	-0.053	-0.468
296	2.736	1.918	1.133	2.245	2.354	1.994	2.420	0.849	2.380	2.565
297	2.736	-0.112	-0.079	1.110	-0.137	-0.393	1.240	0.073	1.688	-0.374
298	0.185	-0.112	-0.079	-0.041	-0.137	0.222	0.393	0.073	0.642	-0.440
299	-0.333	-0.112	-0.079	0.416	-0.137	-0.393	0.812	0.073	-0.053	-0.456