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*Unverified author*

R Software Module

rwasp_logisticregression.wasp

Title produced by software

Bias-Reduced Logistic Regression

Date of computation

Sat, 02 Apr 2022 20:18:09 +0200

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2022/Apr/02/t1648923637mt2ykzosugve28a.htm/, Retrieved Sun, 19 May 2024 07:23:29 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=319667, Retrieved Sun, 19 May 2024 07:23:29 +0000

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Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-       [Bias-Reduced Logistic Regression] [ALL RECOVERY] [2022-04-02 18:18:09] [d41d8cd98f00b204e9800998ecf8427e] [Current]

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Dataseries X:

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0	40	1	140	80	16	99	43	3.5	42.80	1.06	25.6	11.1	1	0	0	0	1.0
1	47	2	120	80	17	100	31	0.8	10.91	1.03	42.9	4.4	0	0	0	0	1.0
0	35	2	130	80	14	100	36	3.1	32.73	1.18	31.3	7.6	0	0	0	0	0.0
0	48	2	110	70	19	99	36	1.1	13.05	1.21	33.0	7.6	0	1	0	0	1.0
0	47	2	120	80	21	99	34	2.5	26.78	1.16	33.5	8.7	0	1	0	0	1.0
0	55	2	160	100	15	98	36	1.5	20.40	1.12	36.0	8.3	0	1	0	0	0.0
1	60	1	120	80	17	99	40	2.6	25.10	1.19	27.4	7.8	0	0	0	0	2.0
0	49	1	140	80	16	98	35	1.8	18.86	1.23	32.5	9.2	0	0	0	0	1.0
1	68	2	120	80	15	100	33	0.8	10.98	1.17	42.0	7.4	1	0	1	0	1.0
0	50	1	120	80	20	98	40	1.8	19.85	1.22	27.2	8.6	1	0	0	0	2.0
0	66	1	110	80	21	94	37	2.1	25.73	1.13	27.8	9.7	1	0	0	0	0.0
0	51	1	120	90	14	99	39	2.8	31.00	1.12	26.2	9.7	0	0	0	2	0.0
0	68	1	140	80	11	97	37	1.7	19.33	1.17	28.5	9.6	0	0	0	0	1.0
0	53	2	120	80	12	99	39	2.4	26.07	1.07	30.6	9.2	0	0	0	0	0.0
1	82	1	150	90	21	99	33	0.6	12.01	1.01	42.0	10.2	1	0	1	2	0.0
0	31	2	90	60	11	98	41	1.9	21.47	1.19	27.7	9.0	0	0	0	0	1.0
0	50	2	130	90	15	98	31	1.7	20.61	1.07	39.6	9.0	0	0	0	0	1.0
0	39	1	140	80	16	98	42	1.7	21.11	1.13	26.2	10.1	1	0	0	0	1.0
0	39	2	90	60	14	98	39	3.1	37.33	1.08	26.4	10.4	0	0	0	0	0.0
0	52	1	130	80	9	100	39	2.2	24.31	1.11	31.1	7.9	1	0	0	0	1.0
0	46	1	130	90	14	100	41	1.7	19.96	1.25	29.0	9.4	0	0	0	0	0.0
1	44	1	120	80	18	99	44	1.7	21.27	1.15	20.6	8.8	0	0	0	0	0.0
1	45	1	120	80	17	100	41	2.7	31.70	1.15	28.7	9.6	0	1	0	0	1.0
0	47	1	140	90	15	96	38	2.7	31.78	1.14	28.6	10.0	0	0	0	0	0.0
1	54	1	140	80	14	98	40	2.2	25.19	1.10	29.8	9.1	1	0	0	0	1.0
0	42	1	120	80	17	100	42	2.1	24.41	1.18	28.7	11.1	0	0	1	0	2.0
0	50	1	120	80	18	98	42	3.1	36.95	1.07	26.1	10.3	0	0	0	0	1.0
0	54	1	140	80	15	99	37	1.4	15.78	1.13	32.2	8.9	1	1	1	0	2.0
0	56	1	110	60	18	99	35	1.6	18.75	1.22	33.2	9.0	0	0	0	0	1.0
0	46	1	130	80	21	98	37	2.3	26.38	1.23	27.4	10.0	0	0	0	0	0.0
0	53	1	130	90	16	98	44	4.0	45.37	1.15	25.2	10.7	0	0	0	2	0.0
1	76	1	150	100	16	97	36	1.4	17.57	1.07	31.8	9.0	1	0	1	0	0.0
0	69	1	130	80	21	94	37	1.6	18.97	1.19	31.3	9.2	1	0	0	0	0.0
0	37	2	110	80	12	98	39	2.7	31.71	1.08	30.2	10.3	0	0	0	0	1.0
0	71	1	130	80	11	98	37	1.8	19.08	1.20	29.7	8.1	0	1	0	0	0.0
0	47	1	130	90	25	96	36	2.8	34.00	1.23	32.7	11.4	1	0	0	0	0.0
0	70	1	140	100	14	96	36	1.2	14.75	1.04	35.1	10.0	1	0	1	0	0.0
0	21	2	110	80	14	99	38	1.9	21.02	1.18	29.1	7.7	0	0	0	0	1.0
0	81	2	140	80	19	98	29	0.4	10.03	0.96	44.5	7.6	1	0	0	0	1.0
0	39	2	100	60	15	99	33	2.5	25.98	1.15	30.1	8.4	0	1	0	0	1.0
0	36	2	100	60	16	100	32	2.7	28.86	1.19	35.9	9.1	0	0	0	0	1.0
0	28	2	100	60	18	99	35	2.4	26.46	1.14	27.1	8.9	0	0	0	0	1.0
0	47	2	120	70	14	99	36	2.9	34.05	1.03	26.9	8.7	0	0	0	0	1.0
0	70	2	120	80	17	98	35	1.4	18.22	1.07	32.1	8.2	0	0	0	0	1.0
0	52	2	110	80	16	100	39	2.3	28.17	1.24	28.5	10.0	0	0	0	0	1.0
0	45	2	120	80	9	100	38	2.9	29.87	1.08	28.3	8.4	0	0	0	0	0.0
1	60	2	110	70	21	99	38	2.0	22.95	1.18	31.4	8.9	0	0	0	0	1.0
0	56	2	120	80	19	99	37	2.5	27.11	1.10	29.9	9.1	0	1	0	0	1.0
0	55	2	120	80	14	100	41	3.1	32.23	1.24	29.7	8.8	0	0	0	0	0.0
0	65	2	140	80	12	99	36	0.8	13.71	1.18	38.9	4.5	0	0	0	0	1.0
0	43	2	100	60	13	97	38	2.3	26.11	1.22	27.8	9.1	0	0	0	0	0.0
0	48	2	120	80	10	96	39	1.7	19.79	1.32	27.3	9.5	1	0	0	0	0.0
1	49	2	100	60	19	100	32	3.1	33.17	1.18	37.1	8.6	0	0	0	0	0.0
0	72	2	120	80	19	99	36	0.6	11.22	1.00	32.5	2.4	1	0	0	0	1.0
0	47	1	130	80	20	98	34	2.1	22.40	1.18	30.7	8.2	0	0	0	0	1.0
0	70	1	140	80	26	98	30	0.5	8.29	0.99	40.5	7.9	1	1	1	0	0.0
0	48	1	120	70	18	100	35	2.7	30.93	1.27	28.3	10.6	0	0	0	0	2.0
0	36	1	110	70	12	100	46	2.9	35.52	1.11	20.4	11.3	0	0	0	0	1.0
0	51	1	140	100	19	97	30	1.4	14.69	1.07	33.8	8.2	1	0	0	0	2.0
0	42	1	140	90	14	98	40	2.9	36.12	1.09	29.1	11.1	0	0	0	0	1.0
0	59	1	130	80	24	98	32	1.8	17.51	1.30	35.7	8.0	0	0	0	0	2.0
0	49	1	140	80	21	97	34	1.8	21.21	1.07	35.7	9.5	1	0	0	0	1.0
0	43	2	120	80	16	98	41	1.7	20.05	1.12	27.9	10.3	0	0	0	0	1.0
0	53	2	130	80	18	100	37	3.8	42.91	1.03	27.9	10.6	1	0	0	0	0.0
1	77	2	110	80	25	96	29	0.7	11.16	0.94	40.9	4.3	0	0	0	0	0.0
0	56	2	110	60	12	99	40	1.9	20.96	1.26	26.2	9.4	0	0	0	0	0.0
0	53	2	130	80	15	99	34	2.5	25.80	1.18	32.4	8.8	0	0	0	0	0.0
0	57	2	120	80	18	97	35	1.6	18.10	1.27	32.8	6.6	0	0	0	0	1.0
0	30	2	120	80	16	100	34	2.3	24.40	1.12	33.0	8.2	0	0	0	0	1.0
0	71	1	160	100	14	100	37	1.7	19.44	1.16	31.7	8.5	0	0	0	0	1.0
0	54	1	120	80	18	94	42	3.1	35.57	1.21	29.4	10.1	0	0	0	0	1.0
0	71	1	130	80	11	98	39	1.3	15.55	1.18	33.9	10.2	0	0	0	0	0.0
1	67	1	140	80	20	98	35	1.6	19.49	1.26	31.9	8.9	0	0	0	0	0.0
0	72	1	120	80	12	98	33	1.4	16.65	0.93	37.5	9.0	1	0	0	2	0.0
0	68	1	130	80	28	94	33	1.6	18.24	1.12	34.6	7.5	1	0	1	0	2.0
0	52	1	140	100	17	97	35	1.9	23.94	1.13	29.4	10.4	0	0	0	0	0.0
0	48	1	110	80	25	98	36	1.9	20.96	1.19	30.7	8.3	0	0	0	0	1.0
0	82	1	160	100	39	96	29	0.9	12.47	0.98	39.7	4.7	0	0	0	0	0.0
0	59	1	140	90	20	96	40	2.2	25.13	1.32	32.3	8.2	1	0	1	0	0.0
0	75	1	130	80	20	97	37	1.9	19.86	1.22	31.5	7.1	1	0	0	0	0.0
0	55	1	140	90	16	98	44	3.4	38.50	1.02	27.0	10.2	1	0	0	0	0.0
0	50	1	110	70	19	99	36	2.4	24.47	1.18	30.1	8.0	0	0	0	0	0.0
0	49	1	150	100	21	97	35	2.6	27.51	1.30	31.7	8.5	1	0	0	0	0.0
0	31	2	120	80	20	96	34	2.3	26.72	1.17	30.6	9.9	0	0	0	0	0.0
0	61	2	140	100	25	99	29	1.0	11.83	1.17	40.6	6.7	0	0	0	0	1.0
0	20	2	130	80	14	100	35	2.5	28.49	1.15	33.0	7.9	0	0	0	0	0.0
0	78	1	120	70	33	98	34	1.1	12.05	1.12	33.6	7.3	1	0	0	2	0.0
0	74	2	140	80	18	98	38	1.5	16.73	1.21	29.6	6.4	0	0	0	0	0.0
0	35	1	140	80	8	99	47	2.7	29.59	1.30	22.3	9.9	0	0	0	0	1.0
1	61	1	130	80	17	97	33	2.3	25.89	1.18	31.2	8.5	0	0	0	0	0.0
0	46	1	120	80	14	99	38	3.2	37.46	1.23	23.5	11.0	0	0	0	0	1.0
0	51	1	120	80	15	100	40	2.8	30.45	1.10	28.7	9.2	0	0	0	0	1.0
0	65	2	130	80	13	98	33	1.2	15.60	1.12	34.0	7.4	0	0	0	0	2.0
0	40	2	110	70	16	99	41	2.6	30.26	1.20	23.3	13.0	1	0	0	0	0.0
0	38	2	110	80	18	99	39	2.8	33.07	1.06	34.7	9.1	0	0	0	0	1.0
0	41	1	110	70	16	99	48	3.2	36.27	1.25	22.9	8.9	0	0	0	0	0.0
0	29	2	120	80	16	97	38	1.6	20.89	1.10	27.8	8.8	0	0	0	0	1.0
0	31	2	130	90	26	99	33	1.5	16.37	1.10	28.4	8.7	0	1	1	0	1.0
1	38	1	120	80	15	99	38	2.5	27.12	1.14	28.1	9.2	0	0	0	0	1.0
1	37	1	130	80	21	95	40	1.9	23.76	1.18	26.1	9.5	0	0	0	0	0.0
0	39	1	120	80	19	97	39	2.5	29.91	1.23	24.5	8.1	0	0	0	0	1.0
0	23	1	130	80	13	96	43	2.7	33.65	1.11	26.1	NA	1	0	0	0	0.0
0	32	1	120	80	17	98	44	3.0	36.39	1.07	27.6	11.1	0	0	0	0	0.0
0	42	1	120	80	10	97	40	3.0	32.83	1.20	26.7	9.6	0	0	0	0	0.0
0	23	1	100	60	15	99	42	4.8	51.96	1.19	27.3	10.3	0	0	0	0	1.0
0	37	1	140	90	13	99	42	2.7	29.63	1.21	27.5	9.8	0	0	0	0	0.0
0	39	1	130	80	18	98	42	3.3	39.35	1.11	27.6	NA	0	1	0	0	0.0
0	34	1	140	80	29	97	33	1.4	14.31	1.09	33.1	7.2	0	0	0	0	0.0
0	45	2	120	80	10	100	43	4.2	47.10	1.12	25.2	10.6	0	0	0	0	1.0
0	44	2	120	80	18	100	38	1.5	16.95	1.25	30.7	8.0	0	0	0	0	0.0
0	45	2	110	80	11	99	40	2.9	32.06	1.11	26.0	9.5	0	0	0	0	1.0
0	45	2	90	60	28	98	36	3.0	35.43	1.15	29.8	10.0	0	0	0	0	1.0
0	50	1	110	70	10	100	37	3.0	34.09	1.10	28.8	9.9	0	0	0	0	1.0
0	66	1	120	80	24	97	36	2.0	22.06	1.15	31.5	8.6	1	0	0	0	0.0
0	47	1	120	80	10	99	40	3.0	34.35	1.17	27.3	9.9	0	0	0	0	0.0
1	44	1	140	90	14	99	38	2.6	29.52	1.16	32.4	8.9	1	0	0	0	0.0
1	59	1	160	90	20	98	32	1.8	18.56	1.28	41.9	7.0	0	0	0	0	2.0
0	71	1	120	80	19	98	33	2.2	24.09	1.20	32.3	9.2	0	0	0	0	0.0
1	81	1	120	80	18	97	32	0.9	11.16	1.03	40.8	6.2	1	0	1	0	1.0
0	47	1	130	80	10	98	40	2.3	25.39	1.29	24.6	9.3	0	0	0	0	0.0
1	67	1	140	80	20	98	26	1.4	16.21	1.20	39.6	8.9	1	0	0	2	2.0
0	45	1	140	80	18	100	37	2.6	27.04	1.36	26.4	8.0	1	0	0	0	1.0
0	51	1	130	90	14	97	44	2.8	35.96	1.20	24.2	11.2	0	0	0	0	0.0
0	43	1	130	80	21	99	34	2.6	28.38	1.15	33.3	8.8	1	0	0	0	1.0
0	49	1	110	70	14	100	42	3.3	35.06	1.23	23.9	9.5	1	0	0	0	1.0
0	47	1	160	100	18	98	39	2.8	35.80	1.10	28.5	11.8	1	0	0	0	1.0
0	23	2	120	80	11	100	38	3.3	32.66	1.19	32.1	8.6	0	0	0	0	1.0
0	18	2	100	60	18	100	38	2.4	27.43	1.16	28.9	9.6	0	0	0	0	1.0
0	30	2	120	80	18	99	41	2.0	23.28	1.28	23.0	8.1	0	0	0	0	1.0
0	42	2	110	80	15	98	35	2.5	27.16	1.26	31.0	9.6	0	0	0	0	0.0
1	51	1	120	80	12	98	43	2.2	24.77	1.21	24.4	9.2	0	0	0	0	1.0
0	82	2	130	80	20	98	33	1.1	14.02	1.02	38.5	7.6	1	0	0	0	1.0
0	60	1	130	80	12	100	37	2.4	27.23	1.17	28.8	9.6	1	0	1	2	1.0
0	53	1	110	60	15	98	32	2.4	27.59	1.10	36.1	9.6	1	1	0	0	1.0
0	58	1	120	80	11	100	36	2.6	29.98	1.13	31.4	9.8	1	0	0	0	1.0
0	43	1	110	80	14	97	41	3.0	29.33	1.12	27.9	8.4	0	0	0	0	1.0
0	54	2	120	80	14	99	31	1.4	15.35	1.28	37.1	8.4	1	1	0	0	1.0
0	55	2	110	70	12	98	35	1.9	23.64	1.10	34.5	9.3	0	0	0	2	1.0
0	58	2	130	80	15	100	40	1.5	18.44	1.32	26.0	8.2	0	0	0	0	0.0
0	52	2	90	60	14	99	37	NA	28.69	1.12	29.4	8.0	0	0	0	0	0.0
0	54	2	110	80	11	99	40	1.4	19.69	1.09	28.2	8.5	0	1	0	0	0.0
0	57	2	120	80	12	99	39	1.8	18.37	1.04	25.8	7.4	0	0	0	0	1.0
0	57	2	120	80	13	97	36	2.1	25.65	1.08	32.8	10.1	0	1	0	0	2.0
0	58	2	120	70	19	98	38	1.0	14.27	1.09	36.0	7.2	0	0	0	0	2.0
0	52	2	130	80	24	99	35	1.7	21.00	1.30	31.3	8.6	1	0	0	0	1.0
1	70	2	130	90	18	98	29	1.2	14.32	1.09	44.8	8.7	1	0	1	0	1.0
1	60	1	130	80	12	98	38	1.7	21.73	1.11	27.3	10.5	1	0	0	0	0.0
1	47	1	130	80	14	98	37	1.9	19.70	1.28	28.5	8.3	1	0	0	0	1.0
1	65	1	130	80	18	98	37	2.8	31.05	1.10	29.3	9.6	0	0	1	0	0.0
0	46	1	140	80	17	99	41	2.8	32.71	1.17	28.3	9.4	1	0	0	0	0.0
0	68	1	140	80	14	98	34	1.5	19.02	1.24	34.9	8.8	1	0	0	0	2.0
0	44	2	110	70	15	100	34	2.4	27.14	1.13	36.0	9.1	0	0	0	0	1.0
0	42	2	100	70	9	100	36	1.7	18.78	1.18	32.5	8.3	0	0	0	0	1.0
0	47	1	120	80	16	98	36	1.9	22.00	1.23	32.2	10.7	0	0	0	0	0.0
0	47	1	140	80	26	98	38	1.8	18.46	1.33	30.2	8.2	0	0	0	0	2.0
0	43	1	120	80	17	99	33	3.0	27.83	1.12	32.1	7.9	0	0	0	0	1.0
0	59	2	150	80	19	100	36	1.9	20.83	1.33	30.5	7.3	0	0	0	0	0.0
0	59	2	120	70	18	98	35	2.2	27.60	1.25	27.8	8.9	0	0	0	0	0.0
0	81	1	170	90	20	100	34	1.3	20.81	1.16	31.3	7.2	0	0	0	0	0.0
0	41	1	120	80	21	94	33	1.4	15.12	1.29	33.2	8.4	0	0	0	0	2.0
0	44	1	150	90	12	99	37	2.2	24.44	1.22	31.7	8.2	1	0	0	0	0.0
0	48	1	130	80	12	98	39	2.0	19.98	1.17	29.0	8.0	0	0	0	0	0.0
0	24	1	150	80	10	100	48	2.6	29.69	1.16	22.9	8.4	0	0	0	0	0.0
0	64	1	140	80	21	99	42	3.5	38.94	1.20	28.2	10.4	1	0	0	0	0.0
0	33	1	150	80	16	98	40	1.9	21.75	1.23	25.8	8.8	0	0	0	0	1.0
0	46	2	120	80	20	100	39	2.7	28.20	1.22	26.2	8.1	0	0	0	0	1.0
0	44	2	100	60	19	98	40	3.7	40.92	1.15	27.0	9.7	0	0	0	0	0.0
0	49	2	130	80	20	99	39	1.9	27.83	1.03	26.9	11.2	0	0	0	0	0.0
0	38	2	130	80	13	98	41	1.6	18.47	1.19	25.9	8.8	0	0	0	0	0.0
0	38	2	120	80	16	99	38	3.0	34.64	1.06	28.1	9.6	1	1	0	0	1.0
0	49	1	120	80	17	96	42	3.5	35.57	1.25	30.5	9.1	0	0	0	0	1.0
0	65	2	130	80	17	99	34	1.2	14.76	1.08	32.6	8.3	1	0	0	0	2.0
1	50	1	130	90	15	98	39	2.5	29.43	1.24	26.7	10.6	0	0	0	0	0.0
0	34	2	130	80	11	98	42	1.4	16.14	1.12	26.6	7.9	0	0	0	0	1.0
0	45	2	110	80	21	99	37	3.0	32.70	1.11	28.4	9.6	0	1	0	0	0.0
0	70	1	160	90	18	97	43	1.9	25.22	1.17	28.5	8.3	0	0	0	0	0.0
0	32	2	110	80	11	99	37	2.5	28.24	1.26	31.7	6.8	0	1	0	0	1.0
0	41	1	110	80	18	97	36	1.3	15.65	1.05	29.7	9.2	0	1	0	0	0.0
1	24	1	110	70	12	98	40	3.1	35.61	1.14	28.9	9.0	0	0	0	0	0.0
0	63	2	120	80	18	98	36	1.4	17.57	1.02	28.6	9.6	0	0	0	0	1.0
0	29	2	120	70	11	99	33	1.7	18.58	1.11	32.0	9.3	0	1	0	0	1.0
0	75	2	120	80	17	98	34	0.6	10.05	0.92	38.7	7.1	1	1	1	0	2.0
0	65	2	130	80	9	98	35	1.4	17.62	0.93	31.5	9.8	1	0	1	0	1.0
0	45	1	120	80	12	98	40	4.5	48.53	1.12	28.3	10.4	0	0	0	0	0.0
0	48	1	110	70	18	98	34	2.0	19.91	1.37	28.2	7.8	0	0	0	2	0.0
0	47	1	140	90	22	98	37	2.1	23.59	1.10	26.3	8.6	0	0	0	0	1.0
0	51	1	120	80	15	98	48	3.0	39.09	1.13	20.8	9.6	1	0	0	0	1.0
0	50	1	140	80	18	99	40	3.3	37.05	1.10	25.4	10.4	0	0	0	0	0.0
0	54	1	110	70	15	99	31	1.3	14.40	1.08	47.8	7.5	1	0	0	2	0.0
1	37	1	120	80	17	96	43	2.8	33.90	1.18	25.0	10.7	0	0	0	0	0.0
0	46	1	120	80	16	100	38	2.3	25.25	1.14	28.0	9.2	1	0	0	2	0.0
0	63	1	120	80	18	97	38	2.2	26.92	1.14	25.4	9.2	0	0	0	0	1.0
0	44	1	120	80	17	99	37	2.5	29.77	1.22	36.5	9.0	0	1	0	0	1.0
1	63	1	130	80	8	99	38	2.7	26.79	1.14	28.7	7.9	1	0	0	2	0.0
0	63	1	140	80	13	99	38	2.4	25.78	1.18	26.0	8.7	0	0	0	0	1.0
0	52	1	124	80	10	97	42	2.8	30.96	1.31	25.5	9.4	0	1	0	0	0.0
0	27	1	120	80	14	97	39	3.3	35.27	1.33	28.0	8.9	0	0	0	0	1.0
0	44	1	120	80	15	98	42	3.5	38.51	1.18	27.0	10.3	0	0	0	0	0.0
0	61	1	110	70	19	97	36	1.8	19.25	1.35	29.8	9.2	1	0	0	2	0.0
0	47	1	110	80	19	99	37	3.1	35.55	1.06	32.3	10.1	0	0	0	0	1.0
0	70	1	120	80	18	99	33	1.0	13.13	1.06	37.3	7.5	1	0	0	0	1.0
0	50	2	110	80	16	100	37	1.9	21.49	1.26	32.2	8.7	0	0	0	0	0.0
0	63	2	130	80	16	97	34	1.9	21.99	1.22	32.7	8.5	0	0	0	0	0.0
0	32	1	120	80	15	100	39	5.4	58.47	1.16	26.2	9.9	0	0	0	0	1.0
1	51	1	120	80	17	100	42	4.2	42.55	1.23	27.2	8.5	0	0	0	0	1.0
0	42	1	130	80	20	98	35	2.5	28.03	1.19	35.7	8.7	1	0	0	0	1.0
0	39	1	130	80	8	97	50	3.1	42.02	1.06	24.3	10.5	0	0	0	0	2.0
0	72	1	150	80	20	97	41	3.0	27.43	1.20	26.7	9.3	1	0	0	0	0.0
0	22	2	110	80	20	98	32	2.5	25.58	1.22	32.9	7.6	0	0	0	0	1.0
0	53	2	100	60	17	97	43	2.3	28.72	1.10	24.6	9.3	0	1	0	0	1.0
1	65	1	130	80	19	97	38	2.3	27.52	1.15	29.2	9.5	0	0	0	0	0.0
0	45	2	110	70	21	99	36	1.9	19.72	1.18	29.2	7.6	0	1	0	0	1.0
0	37	1	120	80	18	97	39	2.5	24.68	1.39	26.8	8.9	0	0	0	0	0.0
0	45	1	90	60	21	97	36	2.0	21.32	1.11	29.8	8.1	0	0	0	0	0.0
1	46	1	140	80	16	98	40	2.4	30.02	1.19	30.9	NA	0	0	0	0	0.0
0	39	1	130	80	15	99	40	2.3	24.91	1.28	27.5	9.5	0	0	0	0	1.0
0	44	1	160	100	23	99	33	1.7	17.09	1.28	32.1	7.9	0	0	0	0	1.0
0	52	1	110	80	21	99	35	2.9	33.43	1.23	35.9	6.9	0	0	0	0	1.0
0	46	1	130	80	15	100	39	2.8	23.71	1.14	28.9	6.6	0	0	0	0	0.0
0	44	1	130	80	13	98	41	2.6	29.46	1.22	28.6	11.3	0	0	0	0	1.0
0	33	1	120	80	10	100	43	4.5	48.04	1.22	27.5	9.8	0	0	0	0	0.0
0	45	1	130	80	18	100	42	2.6	32.97	1.11	23.2	10.9	1	0	0	0	0.0
0	62	1	90	60	17	98	39	2.1	23.94	1.19	29.2	8.2	0	0	0	2	0.0
0	71	1	120	70	13	96	35	2.0	23.32	1.15	33.5	7.5	1	0	0	0	1.0
0	43	1	130	80	12	97	42	2.3	25.39	1.33	23.6	9.3	0	0	0	0	0.0
0	60	1	130	80	15	98	41	2.0	23.19	1.11	25.1	9.3	1	0	1	2	2.0
0	49	1	110	80	17	97	35	2.5	26.45	1.23	32.1	9.3	0	0	0	0	2.0
0	59	1	140	90	17	96	40	2.0	22.41	1.15	26.1	8.7	0	0	0	0	1.0
0	48	2	110	70	15	100	36	2.4	19.06	1.11	34.4	5.3	0	0	0	0	1.0
0	61	2	120	80	21	96	32	1.3	14.57	1.26	36.8	7.3	0	0	0	0	2.0
0	44	2	100	60	17	100	36	3.3	32.50	1.10	32.3	8.6	0	1	0	0	1.0
0	45	1	140	90	18	98	35	2.5	27.25	1.13	31.0	8.8	0	0	0	0	0.0
0	49	1	120	90	17	98	43	1.8	20.39	1.18	23.3	8.5	1	0	0	0	0.0
0	45	1	120	80	8	98	50	3.4	39.44	1.04	21.6	10.9	0	0	0	0	1.0
0	58	1	120	70	14	99	39	3.4	40.45	1.06	33.1	11.0	0	0	0	0	1.0
0	34	1	120	80	15	98	38	2.6	27.60	1.16	26.7	8.4	0	0	0	0	1.0
0	64	1	130	80	17	98	38	3.0	38.21	1.06	33.7	10.1	0	0	0	0	0.0
1	75	1	140	80	26	99	30	1.9	21.12	1.18	39.0	7.7	1	0	0	0	1.0
0	54	1	130	80	14	99	35	2.5	26.68	1.15	29.9	8.4	1	0	0	0	1.0
0	43	1	120	80	21	99	41	2.6	31.04	0.97	28.3	10.5	1	0	0	0	1.0
1	74	1	130	80	26	98	36	1.7	19.33	1.14	34.6	8.9	1	0	0	2	0.0
0	69	1	140	80	18	99	30	1.2	11.83	0.99	37.8	6.0	1	0	1	0	1.0
0	36	1	110	70	11	97	42	3.5	42.29	1.18	34.5	10.3	0	0	0	0	1.0
0	69	1	100	60	26	96	30	1.3	15.75	1.08	45.3	7.1	0	0	0	0	1.0
0	43	1	100	60	17	100	38	4.8	48.53	1.13	30.4	9.3	0	0	0	0	1.0
1	75	1	120	80	24	97	35	2.7	33.03	1.18	32.2	8.5	1	0	0	2	0.0
0	30	1	130	80	11	100	43	3.4	44.42	1.17	22.5	11.2	0	0	0	0	1.0
1	48	1	120	80	21	96	37	1.2	14.82	1.17	33.6	8.1	1	0	1	0	2.0
0	28	1	120	80	13	98	48	2.8	38.16	1.04	21.4	13.0	0	0	0	0	1.0
0	38	1	140	80	8	99	41	2.2	27.19	1.22	30.9	10.6	1	0	0	0	0.0
0	66	1	150	100	23	96	36	1.5	16.60	1.11	32.4	7.2	1	0	0	0	0.0
0	18	1	130	80	16	98	47	3.9	49.73	1.20	22.5	11.1	0	0	0	0	1.0
0	46	2	110	60	22	100	35	3.2	32.67	1.15	26.7	8.1	0	0	0	0	1.0
0	47	2	110	70	9	99	37	2.4	27.39	1.20	32.4	8.4	0	0	0	0	0.0
0	56	1	140	80	25	94	30	1.3	16.75	1.20	42.2	7.7	0	0	0	0	1.0
0	47	1	130	80	20	98	35	2.7	30.93	1.10	32.3	9.6	0	0	0	0	0.0
0	69	2	120	70	23	99	33	1.9	22.10	1.09	32.8	8.4	1	1	0	0	1.0
0	53	2	100	70	12	98	34	1.8	20.80	1.25	35.3	9.5	0	0	0	0	0.0
0	64	2	110	70	11	98	33	1.5	22.60	1.18	35.8	9.1	0	0	0	0	0.0
1	80	1	110	70	20	99	36	1.7	22.28	1.09	29.6	8.8	0	0	0	0	2.0
0	46	1	130	90	13	97	39	2.9	34.05	1.24	31.1	10.4	0	0	0	2	0.0
0	44	1	130	80	18	100	41	3.5	37.61	1.19	28.3	9.7	0	0	0	0	1.0
0	37	1	120	80	21	98	37	2.4	26.56	1.33	32.6	8.2	0	0	0	2	0.0
0	71	2	130	80	21	100	38	1.2	13.44	1.15	27.3	7.7	0	0	0	2	1.0
0	45	1	130	80	15	98	39	3.4	37.53	1.13	28.8	10.5	0	0	0	0	1.0
0	53	1	130	80	21	99	33	1.7	20.50	1.14	32.9	9.8	0	0	0	2	1.0
0	46	1	140	80	23	98	39	1.7	22.62	1.08	27.9	9.5	1	0	0	0	0.0
0	51	1	140	80	22	98	30	1.4	15.97	1.19	36.9	8.5	1	0	1	2	2.0
0	23	1	120	80	13	98	38	2.8	33.29	1.22	29.5	10.0	0	0	0	0	0.0
1	71	1	140	80	20	99	38	1.6	23.64	0.96	29.9	9.5	1	0	1	2	2.0
1	52	1	120	80	26	99	44	2.4	25.90	1.20	26.1	8.8	1	0	0	0	0.0
0	89	2	140	80	25	98	29	0.6	8.72	0.99	37.3	8.2	0	0	0	0	0.0
1	56	1	120	80	25	96	29	1.6	18.74	1.29	43.6	8.1	1	0	0	0	2.0
0	49	1	110	70	15	99	45	2.7	28.81	1.35	26.2	9.7	0	0	0	0	0.0
1	50	1	140	80	15	98	40	3.1	38.81	1.13	26.6	12.2	0	0	0	0	0.0
0	60	1	140	80	22	98	35	1.5	16.78	1.14	30.6	9.0	1	0	0	0	0.0
0	36	1	130	80	11	99	39	3.1	33.90	1.16	29.4	9.7	0	0	0	0	1.0
0	60	1	110	70	14	98	40	1.6	19.37	1.16	27.0	10.0	0	0	0	0	2.0
0	60	2	110	70	14	99	36	1.2	16.63	1.14	30.0	10.0	1	0	1	0	2.0
0	57	1	170	110	18	99	44	3.1	33.07	1.28	24.6	9.6	1	0	0	2	1.0
0	40	1	120	90	17	100	39	2.7	29.45	1.29	27.8	9.3	0	0	0	0	0.0
0	48	1	120	80	12	97	41	2.0	24.07	1.14	19.9	8.7	0	0	0	0	1.0
0	33	1	130	80	11	98	42	3.2	37.65	1.22	26.3	10.8	0	0	0	0	0.0
0	48	1	110	70	15	100	42	2.1	22.00	1.12	23.4	8.3	0	0	0	0	2.0
0	47	1	100	70	23	96	29	1.7	17.24	1.30	33.0	8.0	1	0	1	0	2.0
0	44	1	120	80	13	97	42	2.7	31.35	1.19	23.4	10.0	0	0	0	0	0.0
0	61	2	120	80	17	98	33	1.0	12.73	1.12	35.4	7.9	0	0	0	0	0.0
0	65	2	130	80	17	97	34	1.0	14.17	1.14	32.7	7.1	0	1	0	0	2.0
0	71	2	160	80	23	97	33	0.7	15.06	1.11	38.8	5.2	1	0	1	0	0.0
0	36	2	110	80	13	100	39	2.8	30.46	1.20	30.1	9.7	0	0	0	0	0.0
1	77	2	160	80	18	99	29	0.7	11.39	0.99	38.2	8.5	1	0	0	0	2.0
0	48	1	110	80	27	100	32	3.1	36.01	1.21	42.5	10.4	0	0	0	0	1.0
0	27	2	120	80	15	98	35	2.6	32.44	1.12	32.2	9.5	0	0	0	0	0.0
0	66	2	130	80	19	98	38	1.2	19.01	1.11	30.8	9.3	0	0	0	0	1.0
0	48	1	120	80	18	98	39	2.6	27.12	1.14	28.7	8.4	0	0	0	0	0.0
0	68	1	150	80	18	98	33	1.7	18.18	1.20	33.7	9.1	1	0	1	0	0.0
0	30	1	110	70	11	99	40	2.3	26.21	1.25	31.1	9.6	0	0	0	0	1.0
0	71	1	130	80	18	98	37	2.2	24.69	1.19	28.1	9.2	1	0	0	2	0.0
1	82	1	140	80	11	99	30	1.2	17.50	1.01	40.6	8.7	0	0	0	2	0.0
0	59	2	130	80	20	99	32	2.4	26.55	1.04	35.9	8.6	0	0	0	0	1.0
0	80	1	140	80	25	99	28	1.0	10.85	1.13	47.2	5.1	1	0	0	2	0.0
0	77	1	130	80	22	100	32	0.8	14.74	1.13	45.5	6.7	1	0	0	0	2.0
1	60	1	130	80	16	98	35	2.2	23.31	1.18	32.7	8.8	1	0	0	0	0.0
0	39	1	110	60	17	98	43	4.1	42.29	1.11	28.3	10.1	0	0	0	0	0.0
1	63	1	140	80	17	98	34	1.8	19.16	1.21	32.4	7.8	0	0	0	2	1.0
1	57	1	120	80	12	97	38	2.7	28.67	1.13	27.3	9.9	0	0	1	0	1.0
0	57	2	140	80	16	96	37	1.4	18.58	1.21	32.4	10.0	0	1	0	0	0.0
0	70	2	120	80	18	99	34	1.2	14.47	1.24	40.2	7.2	1	0	0	0	1.0
0	68	2	130	80	18	96	37	1.3	16.03	1.17	31.1	9.0	1	0	1	0	0.0
0	74	2	110	70	17	98	30	0.9	13.71	0.95	41.8	9.2	0	0	1	0	0.0
0	21	2	110	70	21	99	34	2.4	26.30	1.17	31.3	8.8	0	0	0	0	1.0
1	63	1	130	80	16	98	28	1.5	17.74	1.15	44.6	8.1	1	0	0	0	2.0
1	69	1	140	80	14	100	38	2.6	30.66	1.11	29.9	9.4	1	0	0	0	1.0
0	38	1	130	80	14	98	39	2.3	25.38	1.16	27.5	10.0	0	0	0	0	1.0
0	58	1	120	80	14	98	35	2.5	31.84	1.06	29.7	NA	0	0	0	0	0.0
0	50	1	130	80	20	99	40	2.9	32.26	1.08	24.7	9.4	0	0	0	0	1.0
0	22	1	120	80	12	100	38	2.8	31.53	1.20	26.0	8.7	0	0	0	0	1.0
1	71	1	140	80	16	99	32	1.3	14.37	1.25	41.3	7.4	1	0	0	2	2.0
0	34	1	110	70	13	100	39	2.8	37.54	1.06	24.9	12.7	0	0	0	0	1.0
0	44	1	120	80	13	98	38	2.6	29.93	1.19	28.2	10.7	1	0	0	0	1.0
0	42	1	150	100	13	100	41	4.2	44.68	1.16	27.2	9.3	0	0	0	0	1.0
0	53	1	140	100	13	97	38	1.6	19.28	1.21	26.8	9.8	0	0	0	0	0.0
0	68	1	110	70	14	98	32	1.4	14.97	1.18	37.1	7.1	0	0	0	0	0.0
0	52	1	130	80	14	97	38	2.3	27.87	1.18	32.1	11.5	1	0	0	0	0.0
1	63	1	140	80	12	98	34	2.9	30.17	1.16	32.6	8.8	1	0	0	0	1.0
0	37	1	150	90	8	97	44	3.0	36.73	1.21	22.8	11.7	0	0	0	0	0.0
1	71	1	140	70	24	98	33	1.9	21.26	1.17	34.5	8.0	0	0	0	0	0.0
0	56	1	110	80	21	95	34	1.6	17.19	1.23	30.6	7.8	0	0	0	0	2.0
0	53	1	110	70	17	97	33	1.7	17.57	1.27	35.5	7.4	1	0	0	2	2.0
0	48	1	130	80	21	98	35	2.2	23.54	1.19	33.5	9.8	0	0	0	0	0.0
0	55	1	120	80	18	99	36	2.1	23.49	1.13	31.4	8.0	0	0	0	0	0.0
0	70	1	120	80	20	99	30	1.5	16.89	1.36	40.3	8.8	0	0	0	0	2.0
0	76	1	120	70	19	100	34	0.9	12.80	1.00	35.9	6.4	0	0	0	0	1.0
0	27	2	130	8	10	99	38	2.1	22.47	1.19	28.3	7.9	0	0	0	0	1.0
0	46	2	100	60	14	99	40	3.1	37.65	1.12	30.0	10.5	0	0	0	0	0.0
1	35	2	110	70	14	99	35	2.3	26.17	1.07	30.6	8.9	0	0	0	0	1.0
0	34	2	120	90	15	99	35	2.3	23.50	1.13	31.0	8.2	1	0	0	0	1.0
0	53	1	120	80	10	99	40	3.9	41.48	1.14	28.3	9.3	0	0	0	2	1.0
0	50	2	120	80	18	98	41	2.2	24.86	1.29	25.6	8.1	0	0	0	0	1.0
0	56	2	120	80	15	96	35	1.7	19.45	1.23	32.4	9.4	0	0	0	0	0.0
0	52	2	120	80	23	99	33	3.3	33.10	1.16	37.3	7.8	0	0	0	0	1.0
0	72	1	130	80	16	100	35	1.5	18.78	1.20	30.9	8.7	1	0	1	0	1.0
0	64	2	120	80	10	100	38	3.6	37.68	1.18	27.2	8.3	0	1	0	0	1.0
0	31	2	110	80	15	99	32	2.5	29.63	1.10	34.6	9.3	0	0	0	0	0.0
0	28	2	110	70	16	98	32	1.1	13.23	0.91	43.6	5.7	0	0	0	0	1.0
0	47	2	110	80	19	100	31	2.6	30.19	1.11	33.4	8.6	0	0	0	0	0.0
0	36	2	110	70	17	99	34	1.9	20.95	1.22	31.0	6.1	0	0	0	0	0.0
0	48	1	145	90	13	97	39	2.2	23.57	1.38	28.4	8.0	0	0	0	0	0.0
0	71	1	140	80	19	98	42	2.1	25.83	1.11	25.8	10.1	1	0	1	0	1.0
0	42	1	120	80	12	97	44	2.7	30.14	1.18	22.8	10.1	0	0	0	0	0.0
0	37	1	150	80	14	99	50	2.6	28.33	1.11	22.1	9.7	0	0	0	0	0.0
0	44	1	140	90	12	99	47	3.1	36.16	1.17	21.6	9.1	0	0	0	0	1.0
0	33	1	130	80	19	98	44	2.0	23.47	1.19	24.3	9.2	0	0	0	0	0.0
0	52	2	110	70	11	99	34	1.7	17.72	1.18	36.0	8.2	0	0	0	0	1.0
0	76	2	110	80	13	98	37	0.9	14.38	1.13	30.7	10.2	1	1	0	0	0.0
0	41	1	120	80	16	99	39	2.3	25.22	1.07	28.1	10.2	1	0	0	0	1.0
0	39	1	130	80	17	98	43	3.4	41.01	1.08	27.9	10.0	0	0	0	0	1.0
0	76	1	120	80	15	98	33	2.1	26.21	1.07	33.9	9.5	0	0	0	0	1.0
0	38	1	120	80	16	98	44	3.8	39.80	1.22	24.3	9.1	0	0	0	0	1.0
0	47	1	130	80	14	99	36	2.5	27.73	1.24	37.5	10.1	0	0	0	0	1.0
0	39	1	160	80	12	97	43	3.5	46.64	1.09	24.4	10.7	1	1	0	0	0.0
0	21	1	120	80	21	100	35	2.8	27.01	1.35	30.8	7.1	0	1	0	0	0.0
0	45	1	140	80	21	99	40	2.5	25.88	1.36	21.4	9.1	0	0	0	0	1.0
1	50	1	150	90	18	97	36	2.4	26.27	1.13	26.6	9.3	1	0	0	0	0.0
0	50	1	110	70	17	98	40	3.5	35.45	1.10	26.6	8.9	0	0	0	0	1.0
0	62	2	130	80	17	99	35	1.8	23.16	1.18	29.9	7.7	0	1	0	0	1.0
0	73	2	130	80	17	98	35	0.9	10.78	1.16	29.9	5.6	1	0	1	0	1.0
0	57	1	110	70	20	98	39	2.6	25.16	1.19	29.8	8.0	0	1	0	0	0.0
1	46	2	160	90	25	93	31	1.2	14.24	1.21	40.9	5.8	0	0	1	0	2.0
0	58	1	140	70	14	98	38	1.9	20.71	1.34	29.0	8.5	1	0	0	2	0.0
0	48	2	110	80	11	97	38	2.5	28.59	1.07	29.3	9.4	0	0	0	0	1.0
0	76	1	110	70	34	95	24	0.9	11.35	0.99	49.0	8.8	1	1	1	0	2.0
0	18	1	110	70	13	99	40	3.2	38.79	1.21	21.3	4.9	0	0	0	0	0.0
0	22	1	120	80	16	99	46	3.3	35.72	1.22	24.9	10.3	0	0	0	0	0.0
0	34	1	140	90	21	99	37	2.7	29.03	1.26	25.5	9.1	0	0	0	0	1.0
1	36	1	110	70	20	100	39	3.9	44.07	1.12	25.0	10.1	0	0	0	0	0.0
0	60	1	126	70	12	98	36	2.1	22.54	1.20	28.5	8.9	0	0	0	0	2.0
0	66	2	110	70	20	93	33	0.9	12.69	1.12	35.3	7.1	0	0	0	0	0.0
0	43	2	110	70	16	100	30	1.9	20.88	1.12	35.3	8.7	0	0	0	0	0.0
0	42	1	110	70	19	100	32	1.8	19.56	1.18	34.4	6.9	0	0	0	0	0.0
0	48	2	110	70	20	100	35	1.7	20.71	1.09	31.0	8.6	0	0	0	0	0.0
0	51	2	120	80	18	99	38	2.4	26.68	1.21	28.0	9.7	1	0	0	0	1.0
0	47	2	120	80	19	100	29	2.4	23.46	1.15	37.3	8.0	1	0	0	2	0.0
1	48	1	130	80	15	100	39	3.8	36.36	1.18	24.2	8.9	0	0	0	0	1.0
0	57	1	130	70	17	99	38	2.5	26.93	1.16	25.4	8.5	0	0	0	0	1.0
0	39	1	130	80	15	95	41	2.1	24.49	1.21	28.3	9.7	1	1	0	0	0.0
0	53	1	130	80	25	98	37	1.3	12.73	1.27	30.9	5.9	1	1	0	0	0.0
0	29	1	120	70	15	100	44	2.8	32.95	1.26	25.2	10.4	0	0	0	0	2.0
0	29	1	120	70	13	96	47	3.2	37.20	1.25	20.7	11.3	0	0	0	0	0.0
0	55	1	150	100	17	99	43	3.1	33.94	1.28	24.6	9.8	0	0	0	0	2.0
0	63	1	130	80	14	98	35	2.7	30.92	1.17	33.0	9.9	0	0	0	0	0.0
0	37	1	130	80	12	99	46	3.8	42.73	1.19	24.8	9.8	0	0	0	0	1.0
1	65	1	140	80	13	96	43	2.1	23.64	1.26	25.9	10.2	0	0	1	0	0.0
0	65	1	130	80	16	98	31	1.2	13.88	1.06	37.1	7.3	1	0	0	0	2.0
1	68	1	140	80	21	97	36	2.0	22.76	1.16	30.3	8.2	1	0	0	0	0.0
0	54	1	130	80	19	97	34	2.2	21.91	1.38	33.6	7.8	0	0	0	0	1.0
0	73	1	110	70	17	99	37	NA	24.03	1.18	31.6	NA	0	0	0	0	1.0
0	65	1	130	80	20	98	35	1.5	17.39	1.21	30.1	8.3	1	0	0	0	1.0
0	62	1	150	90	21	99	35	2.1	26.03	1.08	32.4	9.2	1	0	0	0	1.0
0	61	1	120	80	14	97	37	1.8	20.85	1.08	29.4	9.1	0	0	0	0	0.0
0	49	1	130	80	15	98	41	3.2	34.19	1.15	27.9	9.4	0	0	0	0	1.0
0	34	2	110	70	17	98	44	2.5	30.28	1.19	24.7	9.5	0	0	0	0	0.0
1	76	1	110	70	22	97	26	1.0	13.17	1.07	48.8	8.0	1	0	0	0	1.0
0	76	1	130	80	21	100	34	1.4	17.04	1.21	34.6	8.8	0	0	0	0	1.0
0	49	1	130	80	17	97	36	1.5	17.93	1.23	31.8	8.9	1	0	1	0	2.0
0	45	2	100	70	11	100	33	2.6	28.75	1.11	30.7	8.8	0	0	0	0	1.0
0	46	2	120	80	14	99	37	1.5	15.60	1.29	33.4	8.7	0	0	0	0	1.0
0	45	2	120	80	14	100	37	2.0	22.57	1.21	28.0	9.5	0	0	0	0	0.0
0	36	2	100	60	16	98	41	1.8	23.11	1.19	28.4	10.3	0	0	0	0	0.0
0	52	1	120	80	14	99	40	2.8	28.87	1.17	26.3	8.4	0	0	0	0	1.0
0	39	1	130	80	17	96	36	2.7	37.04	1.06	34.7	12.5	0	0	0	0	0.0
0	49	1	150	110	15	98	38	2.6	26.19	1.38	26.1	7.5	0	0	0	0	1.0
0	56	1	130	80	19	98	38	2.8	30.47	1.20	31.3	9.2	0	0	0	0	1.0
0	49	1	130	80	18	100	44	3.4	39.80	1.30	26.2	11.1	0	0	0	0	1.0
0	52	1	120	80	15	96	33	2.3	25.69	1.09	43.2	9.3	0	0	0	0	2.0
1	56	1	120	80	18	100	45	3.6	39.37	1.11	25.9	9.9	0	0	0	0	1.0
0	59	1	120	80	12	99	40	3.0	34.59	1.17	28.8	10.0	1	0	0	0	1.0
1	72	1	120	70	27	98	30	1.3	16.64	1.03	37.4	9.3	1	0	1	0	2.0
0	46	1	120	80	17	100	44	4.2	44.30	1.15	24.9	10.0	0	0	0	0	1.0
0	45	1	126	80	19	98	40	2.6	35.00	1.14	26.1	13.2	0	1	0	0	0.0
0	54	1	120	80	18	99	35	2.4	29.44	1.15	28.1	9.5	0	0	0	0	0.0
1	53	1	110	80	15	98	42	2.7	29.04	1.23	27.6	9.4	0	0	0	0	1.0
0	53	2	130	90	12	98	42	1.6	19.44	1.18	25.2	NA	0	0	0	0	0.0
0	46	2	130	80	20	100	38	2.2	26.27	1.27	24.6	8.2	0	0	0	0	0.0
0	42	1	120	80	18	99	43	4.0	47.45	1.04	26.4	9.8	0	0	0	0	0.0
0	59	1	120	80	24	98	38	3.2	36.75	1.13	32.7	10.3	1	0	0	0	1.0
1	48	1	140	80	16	99	39	3.7	36.49	1.05	27.0	8.1	1	0	0	2	1.0
0	46	1	120	70	13	98	38	3.3	41.09	1.10	25.1	10.0	0	0	0	0	0.0
1	63	1	120	70	15	99	37	2.1	27.28	1.05	31.2	10.4	0	0	0	0	1.0
1	50	1	130	90	13	98	43	3.0	34.01	1.34	24.5	9.6	0	0	0	0	1.0
0	58	1	120	80	13	97	27	1.9	20.68	1.18	42.0	8.2	0	0	0	2	2.0
0	60	1	130	80	16	100	41	4.1	37.78	1.25	24.3	8.7	1	0	0	0	0.0
0	52	1	130	80	12	96	32	1.6	18.67	1.12	34.5	7.2	0	0	0	0	2.0
0	64	1	116	80	12	97	39	1.4	19.92	1.08	24.9	11.5	0	0	0	0	0.0
1	61	1	130	80	15	100	39	2.6	26.88	1.17	25.7	7.9	0	0	0	2	0.0
0	53	1	120	80	14	99	40	3.8	43.42	1.01	31.5	9.6	1	1	0	0	1.0
1	70	1	100	60	13	98	28	1.3	13.90	1.14	45.4	4.3	0	0	0	0	0.0
0	73	1	140	80	22	92	24	1.0	10.98	1.19	54.3	4.4	0	0	0	0	1.0
0	58	1	110	80	16	99	39	2.4	24.54	1.31	27.4	7.0	0	0	0	0	1.0
0	38	1	120	80	16	98	44	3.8	45.00	1.08	24.3	10.5	0	0	0	0	1.0
0	45	1	120	80	19	98	32	2.0	20.39	1.27	38.7	6.3	0	0	0	2	0.0
0	70	1	150	90	12	98	44	2.0	24.79	1.13	24.6	9.0	1	0	0	0	1.0
0	51	1	130	80	24	98	38	2.2	24.02	1.24	28.4	9.4	0	0	0	0	2.0
1	81	1	120	70	13	98	30	1.0	14.90	1.26	42.3	6.6	1	0	1	0	2.0
0	58	2	120	80	20	99	35	1.3	14.71	1.19	38.1	7.0	1	0	0	0	1.0
0	69	2	130	70	20	94	33	1.1	13.80	1.05	33.0	9.0	0	0	0	0	1.0
0	54	2	120	80	20	100	32	1.4	16.74	1.13	33.0	7.5	0	1	1	0	0.0
1	47	2	130	80	19	100	42	3.7	36.68	1.13	25.2	8.8	0	0	0	0	1.0
0	67	2	120	80	14	99	39	1.7	19.35	1.08	28.8	8.9	0	0	0	0	1.0
0	41	2	110	70	14	100	41	1.6	16.52	1.18	27.2	7.4	0	1	0	0	1.0
0	68	2	130	80	18	97	37	1.9	25.28	1.14	32.1	10.0	0	1	0	2	0.0
0	77	2	110	70	15	98	32	0.7	10.66	0.87	39.4	NA	0	0	0	0	0.0
0	62	2	130	80	18	97	37	0.7	9.64	1.15	29.0	7.6	0	0	1	0	0.0
0	53	2	130	80	13	100	29	1.6	17.68	1.16	32.4	7.7	1	0	0	0	1.0
0	41	2	130	80	11	98	44	3.4	46.25	0.98	23.5	12.0	1	0	0	0	0.0
0	48	2	140	90	19	97	36	0.3	8.30	1.12	28.8	4.0	0	0	0	0	0.0
0	78	2	140	80	16	97	32	1.2	15.97	1.08	40.4	9.1	1	1	1	0	1.0
0	73	2	130	80	17	99	35	1.5	15.97	1.34	38.2	6.6	0	0	0	0	1.0
0	78	2	140	90	24	98	32	0.2	7.67	0.92	46.7	NA	1	0	0	2	0.0
0	65	2	130	80	17	98	41	2.0	21.50	1.24	24.2	8.1	0	0	0	0	2.0
1	84	2	120	80	20	97	26	0.5	11.87	1.10	52.8	5.1	0	0	0	0	2.0
0	29	2	120	80	13	100	32	2.0	20.90	1.22	36.0	5.6	0	0	0	0	1.0
0	75	2	130	70	19	99	36	1.2	16.52	1.11	31.7	7.9	0	0	0	0	2.0
0	46	2	110	80	17	100	37	2.9	30.52	1.20	30.2	8.7	0	0	0	0	1.0
0	71	2	120	80	13	98	35	1.1	13.14	1.20	31.4	7.8	1	0	0	0	0.0
0	38	2	110	70	17	100	34	2.6	29.13	1.13	31.1	8.5	0	0	0	0	1.0
0	80	2	130	70	25	98	32	0.9	15.04	1.05	34.6	9.6	0	0	0	0	0.0
0	67	2	130	70	16	98	33	1.2	16.14	0.96	32.8	9.2	0	0	1	0	0.0
0	47	2	120	70	11	99	39	2.4	27.15	1.10	27.1	9.5	0	0	0	0	0.0
0	74	2	130	80	21	99	36	1.2	14.07	1.22	38.5	7.6	0	0	0	0	2.0
0	41	2	120	80	22	98	32	2.2	25.38	1.28	31.9	9.1	0	0	0	0	0.0
0	67	2	140	80	22	94	35	1.0	12.49	1.18	32.0	5.6	1	0	0	0	2.0
1	64	2	150	80	18	100	34	2.5	26.58	1.14	40.0	7.5	0	1	0	0	1.0
1	70	2	130	80	23	98	26	0.7	11.50	0.99	56.7	5.6	1	0	0	2	0.0
0	39	2	110	70	20	100	36	3.1	33.44	1.12	27.5	9.1	0	0	0	0	1.0
0	42	2	120	80	12	100	38	2.2	21.57	1.34	26.1	7.2	0	0	0	0	1.0
0	41	2	55	60	12	99	32	1.7	19.87	1.09	33.5	8.1	0	0	0	0	1.0
0	49	2	120	80	16	100	37	2.8	29.89	1.17	28.0	8.7	0	0	0	0	1.0
0	39	2	110	70	17	99	40	4.0	45.49	1.05	28.6	10.3	0	0	0	0	0.0
0	32	2	120	80	19	98	39	1.3	17.60	1.22	30.1	8.1	0	0	0	0	0.0
0	55	2	120	80	20	100	43	2.5	25.57	1.19	26.4	8.8	0	0	0	0	1.0
0	78	2	140	80	22	98	32	0.7	12.42	1.11	38.8	6.3	1	0	0	0	1.0
1	38	2	120	80	12	100	29	1.5	16.57	1.16	41.1	6.6	0	0	0	0	0.0
0	31	2	120	80	18	100	36	2.5	25.66	1.24	28.4	7.8	0	0	0	0	1.0
1	67	2	120	80	19	99	33	1.5	19.72	1.14	36.2	8.9	0	1	0	0	2.0
1	85	1	120	70	19	98	35	0.7	14.39	0.93	35.9	2.2	1	0	0	0	0.0
1	71	1	140	70	18	97	37	1.4	19.54	1.16	34.2	8.7	1	0	0	0	2.0
0	54	1	130	80	16	98	36	2.6	29.25	1.18	31.1	8.7	0	0	0	0	2.0
0	61	1	120	70	20	96	33	1.3	13.17	1.26	37.9	5.4	1	0	0	2	0.0
0	44	1	150	90	14	98	40	2.2	25.66	1.27	27.4	9.0	0	0	0	0	0.0
0	46	1	140	80	16	96	34	2.3	25.74	1.21	36.0	9.6	0	0	0	0	0.0
0	62	1	140	80	25	99	32	1.2	14.38	1.16	37.8	7.8	0	0	1	0	2.0
0	57	2	140	80	13	99	39	1.5	18.49	1.11	28.9	7.8	1	0	0	0	0.0
0	33	2	110	70	12	98	35	1.9	22.04	1.10	29.7	7.5	0	0	0	0	1.0
0	53	2	120	80	17	99	37	2.4	26.46	1.18	28.3	9.1	0	1	0	0	0.0
1	40	2	120	80	18	100	33	1.7	18.37	1.13	31.5	7.7	0	0	0	0	1.0
0	25	1	130	90	18	99	41	3.6	39.16	1.13	27.8	10.1	0	0	0	0	1.0
0	34	1	140	80	21	99	43	3.0	37.22	1.16	21.2	10.2	0	0	0	0	1.0
0	49	1	130	90	20	98	37	1.8	21.41	1.27	28.2	7.2	0	0	0	0	0.0
0	40	1	130	90	14	99	40	2.4	27.74	1.09	29.1	10.9	0	0	0	0	2.0
1	73	2	120	80	12	98	31	0.8	12.74	1.04	38.4	4.1	0	0	0	0	1.0
0	86	1	140	80	17	97	33	0.8	11.70	1.09	41.5	7.3	1	0	1	0	0.0
1	42	1	120	80	18	98	37	1.0	19.94	1.06	27.7	11.8	0	0	0	0	0.0
0	59	1	140	80	23	97	35	1.6	17.29	1.21	33.6	8.3	1	0	0	0	2.0
1	66	1	140	80	19	98	35	1.5	17.28	1.14	33.7	8.0	1	0	1	2	1.0
1	38	2	110	70	13	98	36	1.1	13.74	1.01	28.9	7.2	0	0	0	0	0.0
1	67	2	130	90	17	98	36	1.2	14.32	1.10	31.2	8.0	1	0	0	2	0.0
0	42	1	155	100	15	98	37	2.1	23.87	1.21	29.0	10.2	0	0	0	0	1.0
1	47	1	120	80	18	99	36	2.4	27.82	1.20	36.0	10.3	0	0	0	2	1.0
0	41	2	130	70	11	99	33	1.5	16.49	1.35	31.1	6.5	0	0	0	0	0.0
0	36	1	140	90	13	98	47	3.0	32.16	1.33	24.2	9.6	0	0	0	0	0.0
0	66	2	130	90	17	99	31	1.2	13.49	1.06	37.8	7.7	0	1	0	0	2.0
1	54	2	120	70	17	96	33	1.8	22.75	1.12	26.2	9.6	1	0	0	0	0.0
0	75	1	130	80	16	97	29	1.2	15.12	1.06	41.3	7.5	1	0	1	0	1.0
1	58	2	130	80	20	100	37	2.2	24.63	1.07	30.1	9.1	1	1	0	0	1.0
0	44	2	120	80	23	99	36	1.5	19.03	1.16	28.7	8.2	0	0	0	0	1.0
0	55	2	100	70	16	100	39	1.6	18.38	1.17	35.6	9.3	0	0	0	0	0.0
0	37	2	130	80	20	98	36	1.3	16.92	1.21	33.8	9.1	0	0	0	0	0.0
0	29	2	100	60	16	99	38	2.6	29.32	1.14	26.5	9.5	0	1	0	0	1.0
0	38	1	120	80	14	97	44	2.6	31.03	1.08	27.4	10.6	0	0	0	0	0.0
0	67	2	120	80	18	99	31	0.5	10.71	1.06	61.4	3.1	0	0	0	0	2.0
0	69	1	110	80	22	98	36	1.5	18.63	1.18	33.6	8.8	1	0	0	2	0.0
1	61	1	140	80	14	96	36	1.6	18.41	1.24	38.1	8.8	0	0	0	0	2.0
0	67	2	130	80	17	98	37	1.6	21.49	1.10	32.9	8.8	0	0	0	0	0.0
0	35	2	120	80	14	100	40	2.7	28.78	1.17	25.3	8.5	0	0	0	0	1.0
0	41	2	120	80	15	99	40	3.7	41.06	1.20	24.7	7.9	0	0	0	0	1.0
0	47	1	120	80	10	99	53	3.8	44.12	1.10	18.7	10.9	1	0	0	0	1.0
0	78	1	150	80	24	98	34	1.4	17.71	1.07	31.3	8.6	1	0	0	0	0.0
0	50	2	140	90	20	97	32	1.1	16.03	1.22	41.6	8.6	0	0	0	0	0.0
0	45	1	150	90	26	99	37	3.0	35.54	1.09	29.5	9.4	0	0	0	0	1.0
0	72	1	130	80	17	98	34	1.9	20.57	1.19	39.8	8.5	1	1	1	0	0.0
0	60	1	120	70	22	97	39	1.4	17.74	0.97	26.4	9.8	1	0	0	0	1.0
0	68	1	120	80	18	99	36	1.5	18.37	1.25	31.6	8.4	1	0	0	2	0.0
0	68	1	140	80	22	95	38	1.7	20.22	1.11	25.7	8.0	0	0	0	0	2.0
0	60	1	130	80	20	99	31	1.5	16.01	1.13	36.2	8.3	1	0	0	0	2.0
1	41	2	130	80	16	100	34	1.9	19.13	1.24	32.7	6.8	0	0	0	0	1.0
0	49	2	130	80	21	100	35	3.1	35.78	1.08	31.9	9.2	0	0	0	0	1.0
0	51	2	130	80	16	99	37	2.3	25.92	1.08	31.0	9.3	0	1	0	0	0.0
0	49	2	110	80	19	100	33	2.5	25.12	1.17	33.7	8.4	0	1	0	0	1.0
0	56	2	135	90	12	100	38	2.4	26.57	1.04	27.8	8.7	0	0	0	2	0.0
0	38	2	120	80	17	96	34	2.0	23.30	1.21	34.5	7.7	0	0	0	0	0.0
0	43	2	120	80	13	100	37	1.8	21.29	1.14	28.0	8.0	0	0	0	0	1.0
1	45	2	110	80	18	100	40	3.2	38.76	1.08	28.9	11.0	0	0	0	0	1.0
0	38	2	100	60	15	100	36	2.6	28.48	1.15	32.2	8.6	0	1	0	0	1.0
0	34	2	90	60	20	100	40	3.4	37.45	1.13	25.0	9.8	0	0	0	0	0.0
0	39	2	130	80	24	100	38	2.3	26.92	1.23	26.2	7.9	0	1	0	0	1.0
1	76	1	130	80	21	99	35	1.4	16.66	1.17	29.8	7.9	1	0	0	0	1.0
0	54	1	100	70	14	99	39	2.6	29.54	1.11	26.4	9.5	0	0	0	0	0.0
0	60	1	130	80	19	98	41	2.4	28.08	1.08	26.0	9.3	1	0	0	0	1.0
0	69	1	120	80	23	97	34	1.6	18.93	1.21	39.7	6.7	0	0	0	0	0.0
0	61	1	130	90	13	98	38	2.1	22.28	1.17	24.9	8.6	0	0	0	0	1.0
0	61	1	120	90	18	97	44	2.7	27.08	1.26	22.8	8.9	0	1	0	2	0.0
0	45	1	120	90	17	96	40	1.5	18.01	1.19	25.6	9.1	0	0	0	0	0.0
1	65	1	120	80	13	98	36	1.2	14.59	1.19	35.0	6.4	0	0	0	0	0.0
1	58	1	120	80	13	99	44	2.8	29.89	1.28	31.2	8.6	1	0	0	0	2.0
0	45	1	130	90	16	100	39	2.4	26.66	1.24	26.2	9.1	0	0	0	0	2.0
1	50	1	120	80	20	98	34	2.6	29.90	1.12	29.4	9.8	1	0	0	0	0.0
0	31	1	150	80	22	100	32	2.0	21.88	1.14	30.7	8.7	1	0	0	0	1.0
0	46	1	120	80	17	98	33	1.6	19.33	1.22	28.3	10.9	0	0	0	0	0.0
0	37	1	110	70	18	98	39	3.1	35.89	1.22	25.9	9.9	0	0	0	0	1.0
0	18	1	130	80	19	98	43	1.8	26.10	1.19	27.8	11.8	0	0	0	0	0.0
0	43	1	130	80	18	100	40	3.7	41.99	1.13	27.5	9.7	0	0	0	0	1.0
0	33	1	120	80	16	100	40	2.6	25.06	1.35	30.3	8.2	0	0	0	0	0.0
0	48	1	120	80	14	100	38	3.1	32.71	1.16	27.0	10.0	0	0	0	0	1.0
1	68	1	120	80	20	100	35	1.9	23.27	1.20	34.9	9.2	0	0	0	0	1.0
0	22	1	100	70	15	99	48	4.7	53.34	1.17	21.8	10.6	0	0	0	0	1.0
1	43	1	130	80	16	96	42	2.4	27.75	1.17	29.2	10.1	1	0	0	0	0.0
0	62	1	110	70	27	98	34	2.4	26.34	1.34	31.4	9.7	0	0	0	0	1.0
0	28	1	130	80	10	99	47	3.5	41.23	1.18	21.6	11.7	0	0	0	0	1.0
0	34	2	110	70	20	100	33	2.5	25.53	1.11	32.4	8.7	0	0	0	0	1.0
0	39	2	120	80	16	100	36	2.7	25.74	1.14	30.1	8.1	0	0	0	0	1.0
0	33	2	90	60	12	98	39	1.4	17.37	1.14	27.7	9.4	0	0	0	0	0.0
0	38	1	120	80	21	97	41	3.0	31.86	1.19	26.5	8.7	0	0	0	0	0.0
0	42	1	130	80	16	100	37	1.7	17.95	1.26	31.4	7.6	1	0	0	0	2.0
0	61	1	140	80	18	100	37	2.6	28.34	1.16	30.2	9.8	0	0	0	2	0.0
0	37	1	110	80	12	100	40	2.3	26.62	1.19	26.1	11.2	0	0	0	0	0.0
1	41	1	120	80	12	100	39	3.0	34.38	1.13	30.4	10.0	0	0	0	0	0.0
1	64	1	130	90	13	99	37	3.9	44.13	1.14	31.5	10.5	0	0	0	0	0.0
0	56	1	120	80	22	100	40	2.7	28.18	1.22	26.5	8.5	0	0	0	0	0.0
0	53	1	120	80	18	98	31	2.6	26.91	1.08	36.2	9.1	0	1	0	0	2.0
0	35	1	140	80	7	97	46	5.2	61.25	1.17	24.1	9.6	0	0	0	0	0.0
1	66	2	140	80	24	98	32	1.2	15.90	1.11	39.9	6.0	1	0	1	0	1.0
0	45	2	110	70	10	100	33	3.4	35.90	1.11	35.6	9.4	0	0	0	0	1.0
0	64	2	130	80	14	98	42	1.4	17.73	1.23	26.1	8.0	0	1	0	0	2.0
0	79	2	120	80	21	99	34	1.5	16.80	1.22	36.1	7.8	0	0	0	0	0.0
0	54	2	130	80	15	97	42	2.0	21.23	1.14	31.5	7.5	0	0	0	0	1.0
0	45	2	100	60	13	100	42	3.3	36.78	1.09	27.2	9.4	0	0	0	0	1.0
1	41	2	150	80	12	98	37	3.6	44.06	1.05	31.1	10.9	0	0	0	0	0.0
0	45	2	120	80	18	99	32	2.4	27.19	1.14	38.2	7.5	0	0	0	0	1.0
0	34	2	110	70	12	98	40	2.4	24.98	1.14	27.4	9.0	0	1	0	0	0.0
0	36	2	110	70	13	99	35	1.7	18.75	1.19	34.0	8.5	0	0	0	0	2.0
1	74	1	140	80	12	97	34	2.3	25.63	1.06	30.2	9.5	0	0	0	0	1.0
0	43	1	160	100	17	99	41	5.2	41.52	1.23	27.6	6.5	1	0	0	0	0.0
0	47	1	140	80	15	98	37	1.7	19.51	1.07	27.9	9.5	0	0	1	0	0.0
0	66	1	120	70	21	98	32	1.5	19.06	1.18	31.1	8.7	1	0	0	2	2.0
0	44	1	130	80	15	98	46	3.1	32.27	1.19	21.0	9.8	0	0	0	0	1.0
0	56	1	140	90	23	95	36	1.7	19.66	1.20	29.0	7.7	0	0	0	0	0.0
0	74	1	160	90	21	99	38	1.5	18.22	1.12	28.6	7.7	1	0	1	2	0.0
0	57	1	170	120	13	98	41	2.3	25.04	1.18	25.2	9.0	0	0	0	2	0.0
0	42	2	110	70	18	99	31	3.0	29.35	1.17	36.1	8.7	0	0	0	0	1.0
0	64	2	130	80	19	98	33	1.6	21.00	1.15	34.0	7.7	1	1	0	0	1.0
0	38	2	130	80	18	99	32	1.8	19.15	1.16	34.8	7.6	0	0	0	0	0.0
0	38	2	130	80	15	99	35	2.2	23.02	1.13	31.3	7.6	0	0	0	0	0.0
0	43	1	120	80	16	100	36	2.5	24.68	1.19	29.9	7.5	0	0	0	0	0.0
1	62	1	110	70	17	97	32	1.7	21.40	1.19	33.2	10.4	1	0	0	0	0.0
0	50	1	120	80	17	99	37	2.6	32.29	1.18	31.6	10.8	0	0	0	0	1.0
0	34	1	120	80	18	99	37	2.5	28.07	1.17	22.3	10.4	0	0	0	0	1.0
0	37	1	130	80	12	98	49	2.5	32.66	1.27	21.3	10.7	0	0	0	0	1.0
1	54	1	150	90	29	99	40	2.2	25.21	1.24	23.8	7.1	0	0	0	2	0.0
0	43	1	130	90	21	100	38	2.7	29.48	1.22	26.8	8.5	0	0	0	0	1.0
0	39	1	130	80	15	99	42	2.4	24.48	1.15	28.5	8.3	0	0	0	0	1.0
0	49	1	120	80	20	99	34	3.4	33.06	1.24	29.3	8.7	0	0	0	0	0.0
0	46	1	130	80	20	100	42	4.5	45.11	1.17	26.1	9.4	0	0	0	0	1.0
0	37	1	160	80	13	99	51	2.5	28.61	1.19	17.8	10.3	0	0	0	0	1.0
0	48	1	140	80	17	98	40	2.5	24.32	1.17	27.1	8.8	0	0	0	0	0.0
0	40	1	130	90	10	99	38	1.4	17.29	1.02	28.0	7.7	0	0	0	0	0.0
0	33	1	120	80	10	99	47	2.7	31.45	1.24	23.2	10.7	0	0	0	0	1.0
0	42	1	120	80	16	98	48	3.9	40.64	1.22	23.0	9.7	0	0	0	0	0.0
1	35	1	120	80	18	100	37	2.5	27.14	1.11	24.4	8.6	0	0	0	0	2.0
0	44	1	130	80	22	100	33	3.3	36.49	1.10	29.1	9.3	0	0	0	0	1.0
0	49	1	110	70	20	96	39	3.7	40.28	1.12	29.7	10.0	0	0	0	0	0.0
0	68	1	110	70	24	96	29	1.7	15.55	1.19	39.8	6.5	1	1	0	0	2.0
0	67	1	160	80	21	99	30	1.5	19.10	1.17	36.5	9.6	1	0	0	2	2.0
0	62	1	120	70	23	98	37	1.9	23.53	1.14	27.6	9.0	0	0	0	0	0.0
0	60	1	140	80	19	93	36	1.6	20.74	1.10	34.3	8.9	1	0	0	0	0.0
1	79	1	140	80	24	99	31	1.3	14.41	1.31	39.2	7.1	1	0	1	2	0.0
0	47	1	130	80	16	98	40	2.7	30.51	1.27	27.4	9.2	0	0	0	0	0.0
0	61	1	130	80	16	99	37	2.0	20.59	1.22	29.2	8.1	1	0	1	0	1.0
0	49	1	130	80	14	99	43	3.1	35.91	1.17	23.2	8.9	0	0	0	0	1.0
0	72	2	120	70	16	97	37	0.5	8.15	0.93	31.9	3.8	1	1	0	2	1.0
0	51	2	130	80	15	100	41	1.9	21.90	1.13	25.4	9.3	0	1	0	0	1.0
0	55	2	120	80	18	99	34	2.0	25.19	1.03	32.2	9.5	1	0	0	0	0.0
0	48	2	160	90	9	99	37	1.9	21.25	1.17	30.7	6.2	1	0	1	0	0.0
0	84	1	130	70	15	98	35	1.4	18.18	1.04	36.9	9.0	0	0	0	0	0.0
0	41	1	110	80	20	98	35	1.9	19.02	1.23	33.9	7.1	0	0	0	0	0.0
0	40	1	110	70	24	100	28	1.0	11.32	1.08	50.1	4.2	0	0	0	0	2.0
0	41	2	100	60	19	99	40	3.6	41.44	1.10	26.7	10.8	0	1	0	0	0.0
0	54	2	140	90	12	98	40	2.0	23.27	1.09	27.4	8.4	0	0	0	0	0.0
0	68	2	150	90	16	97	36	0.7	11.81	1.02	39.5	8.6	1	0	0	0	2.0
0	67	2	130	80	11	97	30	1.2	15.80	1.12	40.6	8.6	1	1	0	0	1.0
0	57	1	140	80	17	98	34	2.0	23.36	1.16	31.4	9.5	1	0	0	0	1.0
0	72	1	150	70	21	94	34	1.8	20.41	1.25	27.6	8.9	1	0	1	0	1.0
0	55	2	110	80	7	99	40	3.1	35.25	1.10	31.1	9.0	0	0	0	0	0.0
1	68	1	160	80	17	98	36	2.0	25.65	1.19	27.6	10.8	0	0	0	2	0.0
1	49	1	120	80	14	98	39	3.0	37.79	1.10	29.8	12.2	0	0	0	0	0.0
0	61	2	110	70	20	98	31	1.0	11.83	1.09	37.0	6.8	1	1	0	0	1.0
0	48	2	110	70	18	97	34	1.4	18.61	1.17	35.1	9.0	0	0	0	0	0.0
0	41	2	130	80	19	99	34	2.8	27.47	1.16	33.5	7.0	0	0	0	0	0.0
0	57	2	120	80	8	98	38	1.7	20.32	1.17	28.1	7.4	0	1	0	0	1.0
1	75	2	150	80	20	98	32	1.1	16.85	1.21	34.3	10.5	0	1	0	0	1.0
1	54	2	120	80	17	99	41	2.7	30.19	1.28	24.3	9.0	0	0	0	0	0.0
0	64	2	150	90	17	99	36	0.8	12.26	1.03	31.1	8.0	1	0	0	0	0.0
0	53	2	100	60	14	99	36	1.5	16.92	1.30	30.5	8.0	0	1	0	0	0.0
1	45	2	110	70	19	100	36	2.7	29.98	1.13	28.5	9.4	0	0	0	0	1.0
0	47	2	130	80	24	100	39	2.2	25.75	1.07	27.8	8.8	0	0	0	0	1.0
1	36	2	120	80	14	99	37	2.1	22.67	1.11	31.4	7.9	0	0	0	0	0.0
0	66	2	120	80	19	97	35	1.1	14.69	1.26	30.6	9.2	1	0	1	0	0.0
1	68	2	120	80	15	97	30	1.3	15.36	1.24	38.6	8.4	0	0	0	0	2.0
0	63	2	130	80	15	99	36	2.2	26.49	1.04	34.0	8.1	0	1	0	0	0.0
0	42	2	130	80	16	99	36	1.9	25.25	1.08	28.7	9.9	0	0	0	0	0.0
0	40	2	110	80	12	100	33	1.9	20.77	1.17	29.4	7.2	0	1	0	0	1.0
0	75	1	130	80	23	97	25	1.1	13.65	1.01	44.9	8.0	0	0	0	0	2.0
0	87	2	150	80	23	96	30	0.6	9.52	1.02	44.6	5.3	1	1	0	0	2.0
0	24	2	120	80	12	98	38	3.1	34.17	1.19	30.9	9.1	0	0	0	0	0.0
0	33	2	100	70	20	99	43	3.1	35.78	1.11	23.6	10.5	0	0	0	0	0.0
0	39	1	120	80	20	99	36	2.4	25.76	1.09	33.4	9.3	0	0	1	0	1.0
1	33	1	140	80	9	99	41	2.4	25.86	1.20	30.1	9.0	1	0	0	0	0.0
0	57	1	130	80	14	100	40	2.1	24.49	1.18	28.7	8.9	0	0	0	0	1.0
0	33	1	120	80	14	98	47	3.4	40.22	1.17	22.7	10.0	0	0	0	0	1.0
0	40	1	120	90	8	99	35	2.3	23.39	1.11	35.3	7.1	1	0	0	0	1.0
0	54	1	120	80	19	100	39	3.0	28.98	1.26	30.1	7.5	0	0	1	0	1.0
0	87	2	110	70	26	98	29	0.6	9.87	0.96	32.1	8.4	1	0	1	2	1.0
0	44	2	130	80	18	98	41	1.8	19.78	1.38	25.7	8.0	0	0	0	0	0.0
0	44	2	110	70	22	100	36	3.4	33.15	1.08	28.8	7.8	0	0	0	0	1.0
0	61	2	130	80	13	99	38	1.4	18.53	1.06	29.8	9.8	0	0	0	0	1.0
1	71	2	140	90	12	100	41	1.4	17.13	1.16	30.8	7.6	0	0	0	2	1.0
0	72	2	110	70	24	95	32	0.6	7.82	1.01	38.9	7.9	1	0	1	0	2.0
1	45	2	120	80	15	100	41	3.1	33.63	1.01	22.7	9.6	0	1	0	0	1.0
0	51	2	100	60	10	100	35	2.5	28.80	1.24	28.9	8.9	0	0	0	0	0.0
0	39	1	120	80	16	100	45	3.4	37.20	1.16	24.4	10.2	0	0	0	0	1.0
0	46	1	120	80	17	97	38	2.5	28.16	1.13	26.3	9.5	0	0	0	0	1.0
0	70	2	13	80	19	98	34	1.3	17.00	1.14	34.2	8.6	1	0	0	0	1.0
0	39	2	120	80	21	100	38	2.3	26.46	1.05	27.2	8.7	0	0	0	0	1.0
0	43	2	140	90	17	100	36	1.5	16.30	1.15	29.9	7.7	1	0	0	0	1.0
0	42	2	130	80	13	100	41	1.3	17.64	1.18	24.1	9.4	0	0	0	0	1.0
1	55	2	130	80	18	99	44	2.2	28.23	1.12	25.3	9.0	0	0	0	0	1.0
0	68	1	160	90	23	99	30	1.1	13.48	1.05	37.9	8.0	0	0	0	2	0.0
0	37	1	120	80	16	98	38	2.0	22.07	1.22	34.7	8.9	1	0	1	0	0.0
1	77	1	150	80	19	99	33	1.4	16.78	1.16	35.3	8.4	1	0	1	0	0.0
1	79	1	130	80	13	99	40	1.5	18.01	1.10	26.5	9.1	0	0	0	0	0.0
0	46	1	120	80	18	96	37	1.8	19.29	1.26	34.3	7.2	0	0	0	0	2.0
1	72	1	120	80	41	93	23	1.1	11.44	1.16	51.6	6.4	1	0	0	2	2.0
0	70	1	120	80	13	NA	34	1.9	23.64	1.11	30.0	14.1	1	0	0	0	0.0
0	45	1	120	80	18	99	31	1.8	19.26	1.33	38.3	6.6	1	0	1	2	0.0
0	60	2	130	90	20	98	39	2.5	28.22	1.12	31.7	9.7	0	0	0	0	0.0

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	3 seconds
R Server	Big Analytics Cloud Computing Center
R Framework error message	The field 'Names of X columns' contains a hard return which cannot be interpreted. Please, resubmit your request without hard returns in the 'Names of X columns'.

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input view raw input (R code)  \tabularnewline
Raw Outputview raw output of R engine  \tabularnewline
Computing time3 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
R Framework error message & The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'. \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=319667&T=0

[TABLE]
[ROW]

Summary of computational transaction[/C][/ROW] [ROW]

Raw Input[/C]

view raw input (R code) [/C][/ROW] [ROW]

Raw Output[/C]

view raw output of R engine [/C][/ROW] [ROW]

Computing time[/C]

3 seconds[/C][/ROW] [ROW]

R Server[/C]

Big Analytics Cloud Computing Center[/C][/ROW] [ROW]

R Framework error message[/C][C]

The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.

[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=319667&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=319667&T=0

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	3 seconds
R Server	Big Analytics Cloud Computing Center
R Framework error message	The field 'Names of X columns' contains a hard return which cannot be interpreted. Please, resubmit your request without hard returns in the 'Names of X columns'.

Coefficients of Bias-Reduced Logistic Regression
Variable	Parameter	S.E.	t-stat	2-sided p-value
(Intercept)	-12.1343476774031	9.45055388292922	-1.28398269855079	0.199593837669812
idade	0.0382410021166493	0.0108231202994407	3.53326961713857	0.000438783756051553
sexo	-0.419117357542444	0.270268561245502	-1.55074402886887	0.121437367502059
PAS_REPOUSO	0.00974196760105588	0.0100552359410676	0.96884525218028	0.332973579627494
PAD_REPOUSO	-0.00849297818427297	0.0176703653502281	-0.480633988938057	0.63093425849355
FRrepouso	-0.0207165918895856	0.0267771509631492	-0.773666769780543	0.439401987867713
SpO2repouso	0.094100869448292	0.0863294459755705	1.09002054148385	0.276097728668987
PetCO2LV1	-0.0362521790816725	0.0484727380566814	-0.747887999214757	0.454791314891343
POTENCIAkgmax	-0.450391805514279	0.602811417077186	-0.747152082317991	0.455235062602016
VO2kgmax	0.0749106690572122	0.0607316155125812	1.23347071249395	0.217834687177942
Rmax	-0.457604757747704	1.42051015712714	-0.32214113742993	0.747446713612357
DeltaVEDeltaCO2	0.0303568228296224	0.0337499489210036	0.899462778467509	0.368730817368708
DeltaVO2DeltaPotencia	-0.0482546874551016	0.0999690380813784	-0.482696326594846	0.629469750351841
HAS	0.0865272132555031	0.255897029849356	0.338132933025603	0.735369413414871
TIREOIDE	-0.751309601408137	0.441310990268432	-1.70244933386124	0.0891370969597602
DIABETES	0.200323701603359	0.353104605902402	0.567321123131224	0.570686912293732
DAC	0.208263273171876	0.163187755816314	1.27621874649897	0.202322402953586
`Tipodecovid2\r`	0.0203453827467036	0.155299235301881	0.131007617050753	0.895808784973398

\begin{tabular}{lllllllll}
\hline
Coefficients of Bias-Reduced Logistic Regression \tabularnewline
Variable & Parameter & S.E. & t-stat & 2-sided p-value \tabularnewline
(Intercept) & -12.1343476774031 & 9.45055388292922 & -1.28398269855079 & 0.199593837669812 \tabularnewline
idade & 0.0382410021166493 & 0.0108231202994407 & 3.53326961713857 & 0.000438783756051553 \tabularnewline
sexo & -0.419117357542444 & 0.270268561245502 & -1.55074402886887 & 0.121437367502059 \tabularnewline
PAS_REPOUSO & 0.00974196760105588 & 0.0100552359410676 & 0.96884525218028 & 0.332973579627494 \tabularnewline
PAD_REPOUSO & -0.00849297818427297 & 0.0176703653502281 & -0.480633988938057 & 0.63093425849355 \tabularnewline
FRrepouso & -0.0207165918895856 & 0.0267771509631492 & -0.773666769780543 & 0.439401987867713 \tabularnewline
SpO2repouso & 0.094100869448292 & 0.0863294459755705 & 1.09002054148385 & 0.276097728668987 \tabularnewline
PetCO2LV1 & -0.0362521790816725 & 0.0484727380566814 & -0.747887999214757 & 0.454791314891343 \tabularnewline
POTENCIAkgmax & -0.450391805514279 & 0.602811417077186 & -0.747152082317991 & 0.455235062602016 \tabularnewline
VO2kgmax & 0.0749106690572122 & 0.0607316155125812 & 1.23347071249395 & 0.217834687177942 \tabularnewline
Rmax & -0.457604757747704 & 1.42051015712714 & -0.32214113742993 & 0.747446713612357 \tabularnewline
DeltaVEDeltaCO2 & 0.0303568228296224 & 0.0337499489210036 & 0.899462778467509 & 0.368730817368708 \tabularnewline
DeltaVO2DeltaPotencia & -0.0482546874551016 & 0.0999690380813784 & -0.482696326594846 & 0.629469750351841 \tabularnewline
HAS & 0.0865272132555031 & 0.255897029849356 & 0.338132933025603 & 0.735369413414871 \tabularnewline
TIREOIDE & -0.751309601408137 & 0.441310990268432 & -1.70244933386124 & 0.0891370969597602 \tabularnewline
DIABETES & 0.200323701603359 & 0.353104605902402 & 0.567321123131224 & 0.570686912293732 \tabularnewline
DAC & 0.208263273171876 & 0.163187755816314 & 1.27621874649897 & 0.202322402953586 \tabularnewline
`Tipodecovid2\r` & 0.0203453827467036 & 0.155299235301881 & 0.131007617050753 & 0.895808784973398 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=319667&T=1

[TABLE]
[ROW][C]Coefficients of Bias-Reduced Logistic Regression[/C][/ROW]
[ROW][C]Variable[/C][C]Parameter[/C][C]S.E.[/C][C]t-stat[/C][C]2-sided p-value[/C][/ROW]
[ROW][C](Intercept)[/C][C]-12.1343476774031[/C][C]9.45055388292922[/C][C]-1.28398269855079[/C][C]0.199593837669812[/C][/ROW]
[ROW][C]idade[/C][C]0.0382410021166493[/C][C]0.0108231202994407[/C][C]3.53326961713857[/C][C]0.000438783756051553[/C][/ROW]
[ROW][C]sexo[/C][C]-0.419117357542444[/C][C]0.270268561245502[/C][C]-1.55074402886887[/C][C]0.121437367502059[/C][/ROW]
[ROW][C]PAS_REPOUSO[/C][C]0.00974196760105588[/C][C]0.0100552359410676[/C][C]0.96884525218028[/C][C]0.332973579627494[/C][/ROW]
[ROW][C]PAD_REPOUSO[/C][C]-0.00849297818427297[/C][C]0.0176703653502281[/C][C]-0.480633988938057[/C][C]0.63093425849355[/C][/ROW]
[ROW][C]FRrepouso[/C][C]-0.0207165918895856[/C][C]0.0267771509631492[/C][C]-0.773666769780543[/C][C]0.439401987867713[/C][/ROW]
[ROW][C]SpO2repouso[/C][C]0.094100869448292[/C][C]0.0863294459755705[/C][C]1.09002054148385[/C][C]0.276097728668987[/C][/ROW]
[ROW][C]PetCO2LV1[/C][C]-0.0362521790816725[/C][C]0.0484727380566814[/C][C]-0.747887999214757[/C][C]0.454791314891343[/C][/ROW]
[ROW][C]POTENCIAkgmax[/C][C]-0.450391805514279[/C][C]0.602811417077186[/C][C]-0.747152082317991[/C][C]0.455235062602016[/C][/ROW]
[ROW][C]VO2kgmax[/C][C]0.0749106690572122[/C][C]0.0607316155125812[/C][C]1.23347071249395[/C][C]0.217834687177942[/C][/ROW]
[ROW][C]Rmax[/C][C]-0.457604757747704[/C][C]1.42051015712714[/C][C]-0.32214113742993[/C][C]0.747446713612357[/C][/ROW]
[ROW][C]DeltaVEDeltaCO2[/C][C]0.0303568228296224[/C][C]0.0337499489210036[/C][C]0.899462778467509[/C][C]0.368730817368708[/C][/ROW]
[ROW][C]DeltaVO2DeltaPotencia[/C][C]-0.0482546874551016[/C][C]0.0999690380813784[/C][C]-0.482696326594846[/C][C]0.629469750351841[/C][/ROW]
[ROW][C]HAS[/C][C]0.0865272132555031[/C][C]0.255897029849356[/C][C]0.338132933025603[/C][C]0.735369413414871[/C][/ROW]
[ROW][C]TIREOIDE[/C][C]-0.751309601408137[/C][C]0.441310990268432[/C][C]-1.70244933386124[/C][C]0.0891370969597602[/C][/ROW]
[ROW][C]DIABETES[/C][C]0.200323701603359[/C][C]0.353104605902402[/C][C]0.567321123131224[/C][C]0.570686912293732[/C][/ROW]
[ROW][C]DAC[/C][C]0.208263273171876[/C][C]0.163187755816314[/C][C]1.27621874649897[/C][C]0.202322402953586[/C][/ROW]
[ROW][C]`Tipodecovid2\r`[/C][C]0.0203453827467036[/C][C]0.155299235301881[/C][C]0.131007617050753[/C][C]0.895808784973398[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=319667&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=319667&T=1

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Coefficients of Bias-Reduced Logistic Regression
Variable	Parameter	S.E.	t-stat	2-sided p-value
(Intercept)	-12.1343476774031	9.45055388292922	-1.28398269855079	0.199593837669812
idade	0.0382410021166493	0.0108231202994407	3.53326961713857	0.000438783756051553
sexo	-0.419117357542444	0.270268561245502	-1.55074402886887	0.121437367502059
PAS_REPOUSO	0.00974196760105588	0.0100552359410676	0.96884525218028	0.332973579627494
PAD_REPOUSO	-0.00849297818427297	0.0176703653502281	-0.480633988938057	0.63093425849355
FRrepouso	-0.0207165918895856	0.0267771509631492	-0.773666769780543	0.439401987867713
SpO2repouso	0.094100869448292	0.0863294459755705	1.09002054148385	0.276097728668987
PetCO2LV1	-0.0362521790816725	0.0484727380566814	-0.747887999214757	0.454791314891343
POTENCIAkgmax	-0.450391805514279	0.602811417077186	-0.747152082317991	0.455235062602016
VO2kgmax	0.0749106690572122	0.0607316155125812	1.23347071249395	0.217834687177942
Rmax	-0.457604757747704	1.42051015712714	-0.32214113742993	0.747446713612357
DeltaVEDeltaCO2	0.0303568228296224	0.0337499489210036	0.899462778467509	0.368730817368708
DeltaVO2DeltaPotencia	-0.0482546874551016	0.0999690380813784	-0.482696326594846	0.629469750351841
HAS	0.0865272132555031	0.255897029849356	0.338132933025603	0.735369413414871
TIREOIDE	-0.751309601408137	0.441310990268432	-1.70244933386124	0.0891370969597602
DIABETES	0.200323701603359	0.353104605902402	0.567321123131224	0.570686912293732
DAC	0.208263273171876	0.163187755816314	1.27621874649897	0.202322402953586
`Tipodecovid2\r`	0.0203453827467036	0.155299235301881	0.131007617050753	0.895808784973398

Summary of Bias-Reduced Logistic Regression
Deviance	560.900269316804
Penalized deviance	472.315011285622
Residual Degrees of Freedom	667
ROC Area	0.704561403508772
Hosmer–Lemeshow test
Chi-square	NA
Degrees of Freedom	NA
P(>Chi)	NA

\begin{tabular}{lllllllll}
\hline
Summary of Bias-Reduced Logistic Regression \tabularnewline
Deviance & 560.900269316804 \tabularnewline
Penalized deviance & 472.315011285622 \tabularnewline
Residual Degrees of Freedom & 667 \tabularnewline
ROC Area & 0.704561403508772 \tabularnewline
Hosmer–Lemeshow test \tabularnewline
Chi-square & NA \tabularnewline
Degrees of Freedom & NA \tabularnewline
P(>Chi) & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=319667&T=2

[TABLE]
[ROW][C]Summary of Bias-Reduced Logistic Regression[/C][/ROW]
[ROW][C]Deviance[/C][C]560.900269316804[/C][/ROW]
[ROW][C]Penalized deviance[/C][C]472.315011285622[/C][/ROW]
[ROW][C]Residual Degrees of Freedom[/C][C]667[/C][/ROW]
[ROW][C]ROC Area[/C][C]0.704561403508772[/C][/ROW]
[ROW][C]Hosmer–Lemeshow test[/C][/ROW]
[ROW][C]Chi-square[/C][C]NA[/C][/ROW]
[ROW][C]Degrees of Freedom[/C][C]NA[/C][/ROW]
[ROW][C]P(>Chi)[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=319667&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=319667&T=2

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Summary of Bias-Reduced Logistic Regression
Deviance	560.900269316804
Penalized deviance	472.315011285622
Residual Degrees of Freedom	667
ROC Area	0.704561403508772
Hosmer–Lemeshow test
Chi-square	NA
Degrees of Freedom	NA
P(>Chi)	NA

Fit of Logistic Regression
Index	Actual	Fitted	Error
1	0	0.194569681466274	-0.194569681466274
2	1	0.160352372281538	0.839647627718462
3	0	0.105922699744206	-0.105922699744206
4	0	0.0387878852011959	-0.0387878852011959
5	0	0.0561567281154842	-0.0561567281154842
6	0	0.0934044305340295	-0.0934044305340295
7	1	0.168692867016848	0.831307132983152
8	0	0.145372021717225	-0.145372021717225
9	1	0.304137130001973	0.695862869998027
10	0	0.105417931884553	-0.105417931884553
11	0	0.162279239062807	-0.162279239062807
12	0	0.215182305368325	-0.215182305368325
13	0	0.242166343499873	-0.242166343499873
14	0	0.126160693189163	-0.126160693189163
15	1	0.649596814035027	0.350403185964973
16	0	0.0363590922136453	-0.0363590922136453
17	0	0.155206379403592	-0.155206379403592
18	0	0.0914259747350681	-0.0914259747350681
19	0	0.0839070597453703	-0.0839070597453703
20	0	0.235757774159712	-0.235757774159712
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679	0	0.115973003119144	-0.115973003119144
680	0	0.486937048170693	-0.486937048170693
681	0	0.307187995826204	-0.307187995826204
682	0	0.10037261111235	-0.10037261111235
683	0	0.351999338586189	-0.351999338586189
684	0	0.278336235784855	-0.278336235784855
685	0	0.140325020960502	-0.140325020960502

\begin{tabular}{lllllllll}
\hline
Fit of Logistic Regression \tabularnewline
Index & Actual & Fitted & Error \tabularnewline
1 & 0 & 0.194569681466274 & -0.194569681466274 \tabularnewline
2 & 1 & 0.160352372281538 & 0.839647627718462 \tabularnewline
3 & 0 & 0.105922699744206 & -0.105922699744206 \tabularnewline
4 & 0 & 0.0387878852011959 & -0.0387878852011959 \tabularnewline
5 & 0 & 0.0561567281154842 & -0.0561567281154842 \tabularnewline
6 & 0 & 0.0934044305340295 & -0.0934044305340295 \tabularnewline
7 & 1 & 0.168692867016848 & 0.831307132983152 \tabularnewline
8 & 0 & 0.145372021717225 & -0.145372021717225 \tabularnewline
9 & 1 & 0.304137130001973 & 0.695862869998027 \tabularnewline
10 & 0 & 0.105417931884553 & -0.105417931884553 \tabularnewline
11 & 0 & 0.162279239062807 & -0.162279239062807 \tabularnewline
12 & 0 & 0.215182305368325 & -0.215182305368325 \tabularnewline
13 & 0 & 0.242166343499873 & -0.242166343499873 \tabularnewline
14 & 0 & 0.126160693189163 & -0.126160693189163 \tabularnewline
15 & 1 & 0.649596814035027 & 0.350403185964973 \tabularnewline
16 & 0 & 0.0363590922136453 & -0.0363590922136453 \tabularnewline
17 & 0 & 0.155206379403592 & -0.155206379403592 \tabularnewline
18 & 0 & 0.0914259747350681 & -0.0914259747350681 \tabularnewline
19 & 0 & 0.0839070597453703 & -0.0839070597453703 \tabularnewline
20 & 0 & 0.235757774159712 & -0.235757774159712 \tabularnewline
21 & 0 & 0.111622201573944 & -0.111622201573944 \tabularnewline
22 & 1 & 0.0737048816851971 & 0.926295118314803 \tabularnewline
23 & 1 & 0.0785610798635087 & 0.921438920136491 \tabularnewline
24 & 0 & 0.143971697762037 & -0.143971697762037 \tabularnewline
25 & 1 & 0.2047141251396 & 0.7952858748604 \tabularnewline
26 & 0 & 0.118885111217902 & -0.118885111217902 \tabularnewline
27 & 0 & 0.164147145825054 & -0.164147145825054 \tabularnewline
28 & 0 & 0.121169289554893 & -0.121169289554893 \tabularnewline
29 & 0 & 0.18906455214793 & -0.18906455214793 \tabularnewline
30 & 0 & 0.115552647798908 & -0.115552647798908 \tabularnewline
31 & 0 & 0.270279963053275 & -0.270279963053275 \tabularnewline
32 & 1 & 0.37051441517861 & 0.62948558482139 \tabularnewline
33 & 0 & 0.180926315295435 & -0.180926315295435 \tabularnewline
34 & 0 & 0.0758027073668907 & -0.0758027073668907 \tabularnewline
35 & 0 & 0.145570360932371 & -0.145570360932371 \tabularnewline
36 & 0 & 0.142918774109546 & -0.142918774109546 \tabularnewline
37 & 0 & 0.275865697495103 & -0.275865697495103 \tabularnewline
38 & 0 & 0.0317407007396715 & -0.0317407007396715 \tabularnewline
39 & 0 & 0.452455347505054 & -0.452455347505054 \tabularnewline
40 & 0 & 0.0416361398043716 & -0.0416361398043716 \tabularnewline
41 & 0 & 0.105233183184059 & -0.105233183184059 \tabularnewline
42 & 0 & 0.0488052934327756 & -0.0488052934327756 \tabularnewline
43 & 0 & 0.15584357558068 & -0.15584357558068 \tabularnewline
44 & 0 & 0.20400639981837 & -0.20400639981837 \tabularnewline
45 & 0 & 0.117407256789081 & -0.117407256789081 \tabularnewline
46 & 0 & 0.116593327532638 & -0.116593327532638 \tabularnewline
47 & 1 & 0.132948800785106 & 0.867051199214894 \tabularnewline
48 & 0 & 0.0677752029580878 & -0.0677752029580878 \tabularnewline
49 & 0 & 0.1396342185537 & -0.1396342185537 \tabularnewline
50 & 0 & 0.283055871780002 & -0.283055871780002 \tabularnewline
51 & 0 & 0.0681046668423899 & -0.0681046668423899 \tabularnewline
52 & 0 & 0.0650639722646425 & -0.0650639722646425 \tabularnewline
53 & 1 & 0.179769967195066 & 0.820230032804934 \tabularnewline
54 & 0 & 0.264633328398834 & -0.264633328398834 \tabularnewline
55 & 0 & 0.136422478993677 & -0.136422478993677 \tabularnewline
56 & 0 & 0.21927372170291 & -0.21927372170291 \tabularnewline
57 & 0 & 0.187407093949397 & -0.187407093949397 \tabularnewline
58 & 0 & 0.0940892200205214 & -0.0940892200205214 \tabularnewline
59 & 0 & 0.15392398906523 & -0.15392398906523 \tabularnewline
60 & 0 & 0.168384530560094 & -0.168384530560094 \tabularnewline
61 & 0 & 0.182257811035524 & -0.182257811035524 \tabularnewline
62 & 0 & 0.18029467598133 & -0.18029467598133 \tabularnewline
63 & 0 & 0.055175088504024 & -0.055175088504024 \tabularnewline
64 & 0 & 0.229814992418647 & -0.229814992418647 \tabularnewline
65 & 1 & 0.259856920676566 & 0.740143079323434 \tabularnewline
66 & 0 & 0.102275523006696 & -0.102275523006696 \tabularnewline
67 & 0 & 0.146731899205542 & -0.146731899205542 \tabularnewline
68 & 0 & 0.112493381826542 & -0.112493381826542 \tabularnewline
69 & 0 & 0.0701835568411365 & -0.0701835568411365 \tabularnewline
70 & 0 & 0.350248924691832 & -0.350248924691832 \tabularnewline
71 & 0 & 0.129122277610985 & -0.129122277610985 \tabularnewline
72 & 0 & 0.250698162143281 & -0.250698162143281 \tabularnewline
73 & 1 & 0.256081144795617 & 0.743918855204383 \tabularnewline
74 & 0 & 0.466234789147359 & -0.466234789147359 \tabularnewline
75 & 0 & 0.240898441932374 & -0.240898441932374 \tabularnewline
76 & 0 & 0.150279085986161 & -0.150279085986161 \tabularnewline
77 & 0 & 0.0992838436090779 & -0.0992838436090779 \tabularnewline
78 & 0 & 0.383394941444694 & -0.383394941444694 \tabularnewline
79 & 0 & 0.202752151880783 & -0.202752151880783 \tabularnewline
80 & 0 & 0.27840483636697 & -0.27840483636697 \tabularnewline
81 & 0 & 0.221759308583486 & -0.221759308583486 \tabularnewline
82 & 0 & 0.140981523125559 & -0.140981523125559 \tabularnewline
83 & 0 & 0.153139373015421 & -0.153139373015421 \tabularnewline
84 & 0 & 0.0461229468996257 & -0.0461229468996257 \tabularnewline
85 & 0 & 0.175286293109965 & -0.175286293109965 \tabularnewline
86 & 0 & 0.0649505425263936 & -0.0649505425263936 \tabularnewline
87 & 0 & 0.348652717925397 & -0.348652717925397 \tabularnewline
88 & 0 & 0.202101831304726 & -0.202101831304726 \tabularnewline
89 & 0 & 0.0787866521043498 & -0.0787866521043498 \tabularnewline
90 & 1 & 0.239770977894516 & 0.760229022105484 \tabularnewline
91 & 0 & 0.160915112234379 & -0.160915112234379 \tabularnewline
92 & 0 & 0.182408445787487 & -0.182408445787487 \tabularnewline
93 & 0 & 0.212103040376006 & -0.212103040376006 \tabularnewline
94 & 0 & 0.0598346751998189 & -0.0598346751998189 \tabularnewline
95 & 0 & 0.0968918866045784 & -0.0968918866045784 \tabularnewline
96 & 0 & 0.0915707418683808 & -0.0915707418683808 \tabularnewline
97 & 0 & 0.0401272969307685 & -0.0401272969307685 \tabularnewline
98 & 0 & 0.0230903674101253 & -0.0230903674101253 \tabularnewline
99 & 1 & 0.10250487609118 & 0.89749512390882 \tabularnewline
100 & 1 & 0.0584679074301711 & 0.941532092569829 \tabularnewline
101 & 0 & 0.0888980438625074 & -0.0888980438625074 \tabularnewline
102 & 0 & 0.0848549051523585 & -0.0848549051523585 \tabularnewline
103 & 0 & 0.110965615933151 & -0.110965615933151 \tabularnewline
104 & 0 & 0.100772837104695 & -0.100772837104695 \tabularnewline
105 & 0 & 0.0994633627435318 & -0.0994633627435318 \tabularnewline
106 & 0 & 0.0667236776620417 & -0.0667236776620417 \tabularnewline
107 & 0 & 0.151858942576511 & -0.151858942576511 \tabularnewline
108 & 0 & 0.0709151610355297 & -0.0709151610355297 \tabularnewline
109 & 0 & 0.0925591121348408 & -0.0925591121348408 \tabularnewline
110 & 0 & 0.0887737054150732 & -0.0887737054150732 \tabularnewline
111 & 0 & 0.233858251578482 & -0.233858251578482 \tabularnewline
112 & 0 & 0.204049196300736 & -0.204049196300736 \tabularnewline
113 & 0 & 0.172190914078745 & -0.172190914078745 \tabularnewline
114 & 0 & 0.186511598944909 & -0.186511598944909 \tabularnewline
115 & 0 & 0.291800809741728 & -0.291800809741728 \tabularnewline
116 & 1 & 0.285852130943314 & 0.714147869056686 \tabularnewline
117 & 1 & 0.458685188291208 & 0.541314811708792 \tabularnewline
118 & 0 & 0.116016247926042 & -0.116016247926042 \tabularnewline
119 & 1 & 0.477303539988556 & 0.522696460011444 \tabularnewline
120 & 0 & 0.15474673127845 & -0.15474673127845 \tabularnewline
121 & 1 & 0.14421887993798 & 0.85578112006202 \tabularnewline
122 & 0 & 0.174811054211707 & -0.174811054211707 \tabularnewline
123 & 0 & 0.160584915064821 & -0.160584915064821 \tabularnewline
124 & 0 & 0.215583305825796 & -0.215583305825796 \tabularnewline
125 & 0 & 0.0571476760547086 & -0.0571476760547086 \tabularnewline
126 & 0 & 0.0361739900634812 & -0.0361739900634812 \tabularnewline
127 & 0 & 0.0357805529607186 & -0.0357805529607186 \tabularnewline
128 & 0 & 0.0743203588967707 & -0.0743203588967707 \tabularnewline
129 & 0 & 0.111942475984107 & -0.111942475984107 \tabularnewline
130 & 0 & 0.344876624257608 & -0.344876624257608 \tabularnewline
131 & 1 & 0.427123687114856 & 0.572876312885144 \tabularnewline
132 & 0 & 0.148943879064673 & -0.148943879064673 \tabularnewline
133 & 0 & 0.304942279051212 & -0.304942279051212 \tabularnewline
134 & 0 & 0.0854803436060557 & -0.0854803436060557 \tabularnewline
135 & 0 & 0.075454231821827 & -0.075454231821827 \tabularnewline
136 & 0 & 0.224337271520845 & -0.224337271520845 \tabularnewline
137 & 0 & 0.116807064158008 & -0.116807064158008 \tabularnewline
138 & 0 & 0.055350285116687 & -0.055350285116687 \tabularnewline
139 & 0 & 0.107769106863189 & -0.107769106863189 \tabularnewline
140 & 0 & 0.0779363434934677 & -0.0779363434934677 \tabularnewline
141 & 0 & 0.139015318351089 & -0.139015318351089 \tabularnewline
142 & 0 & 0.119998062469609 & -0.119998062469609 \tabularnewline
143 & 0 & 0.32846771816163 & -0.32846771816163 \tabularnewline
144 & 0 & 0.21190370572679 & -0.21190370572679 \tabularnewline
145 & 0 & 0.122087566642857 & -0.122087566642857 \tabularnewline
146 & 1 & 0.313226312992403 & 0.686773687007597 \tabularnewline
147 & 1 & 0.18443072356629 & 0.81556927643371 \tabularnewline
148 & 1 & 0.348520770376684 & 0.651479229623316 \tabularnewline
149 & 1 & 0.137407531426865 & 0.862592468573135 \tabularnewline
150 & 0 & 0.0862267543880933 & -0.0862267543880933 \tabularnewline
151 & 0 & 0.120193631084837 & -0.120193631084837 \tabularnewline
152 & 0 & 0.0961529532445383 & -0.0961529532445383 \tabularnewline
153 & 0 & 0.139750539666323 & -0.139750539666323 \tabularnewline
154 & 0 & 0.174587274992419 & -0.174587274992419 \tabularnewline
155 & 0 & 0.16211758877503 & -0.16211758877503 \tabularnewline
156 & 0 & 0.560772691336974 & -0.560772691336974 \tabularnewline
157 & 0 & 0.0614053843610957 & -0.0614053843610957 \tabularnewline
158 & 0 & 0.180487155575231 & -0.180487155575231 \tabularnewline
159 & 0 & 0.117472682242818 & -0.117472682242818 \tabularnewline
160 & 0 & 0.0705075918542298 & -0.0705075918542298 \tabularnewline
161 & 0 & 0.303435299988178 & -0.303435299988178 \tabularnewline
162 & 0 & 0.0772933402023507 & -0.0772933402023507 \tabularnewline
163 & 0 & 0.084787980969727 & -0.084787980969727 \tabularnewline
164 & 0 & 0.0977071619670399 & -0.0977071619670399 \tabularnewline
165 & 0 & 0.120245873065312 & -0.120245873065312 \tabularnewline
166 & 0 & 0.0480553856709793 & -0.0480553856709793 \tabularnewline
167 & 0 & 0.0512283614950743 & -0.0512283614950743 \tabularnewline
168 & 0 & 0.118382003806775 & -0.118382003806775 \tabularnewline
169 & 0 & 0.200794657680001 & -0.200794657680001 \tabularnewline
170 & 0 & 0.13802555502508 & -0.13802555502508 \tabularnewline
171 & 0 & 0.0430519148840209 & -0.0430519148840209 \tabularnewline
172 & 0 & 0.0438596164765186 & -0.0438596164765186 \tabularnewline
173 & 1 & 0.284256369606331 & 0.715743630393669 \tabularnewline
174 & 0 & 0.0357849054152485 & -0.0357849054152485 \tabularnewline
175 & 0 & 0.0345263506012152 & -0.0345263506012152 \tabularnewline
176 & 0 & 0.0799762930643614 & -0.0799762930643614 \tabularnewline
177 & 0 & 0.131734077257883 & -0.131734077257883 \tabularnewline
178 & 0 & 0.0296738623147797 & -0.0296738623147797 \tabularnewline
179 & 1 & 0.18127593807879 & 0.81872406192121 \tabularnewline
180 & 0 & 0.253705756459733 & -0.253705756459733 \tabularnewline
181 & 0 & 0.203195709529597 & -0.203195709529597 \tabularnewline
182 & 0 & 0.146239524173916 & -0.146239524173916 \tabularnewline
183 & 0 & 0.118141684733892 & -0.118141684733892 \tabularnewline
184 & 0 & 0.166935221011605 & -0.166935221011605 \tabularnewline
185 & 0 & 0.196394858456911 & -0.196394858456911 \tabularnewline
186 & 0 & 0.368482501031185 & -0.368482501031185 \tabularnewline
187 & 0 & 0.0727431427031035 & -0.0727431427031035 \tabularnewline
188 & 0 & 0.204123808822491 & -0.204123808822491 \tabularnewline
189 & 0 & 0.193745845779144 & -0.193745845779144 \tabularnewline
190 & 1 & 0.0936221925321595 & 0.90637780746784 \tabularnewline
191 & 0 & 0.372295466522259 & -0.372295466522259 \tabularnewline
192 & 0 & 0.251492694969268 & -0.251492694969268 \tabularnewline
193 & 0 & 0.0684676239195257 & -0.0684676239195257 \tabularnewline
194 & 1 & 0.0679014386629808 & 0.932098561337019 \tabularnewline
195 & 0 & 0.129922698796427 & -0.129922698796427 \tabularnewline
196 & 0 & 0.207960577302653 & -0.207960577302653 \tabularnewline
197 & 0 & 0.184278846988816 & -0.184278846988816 \tabularnewline
198 & 0 & 0.328531286268167 & -0.328531286268167 \tabularnewline
199 & 0 & 0.100120582461707 & -0.100120582461707 \tabularnewline
200 & 0 & 0.168419487204085 & -0.168419487204085 \tabularnewline
201 & 0 & 0.197881221350006 & -0.197881221350006 \tabularnewline
202 & 0 & 0.196324440593104 & -0.196324440593104 \tabularnewline
203 & 0 & 0.164986251466705 & -0.164986251466705 \tabularnewline
204 & 0 & 0.143385921154943 & -0.143385921154943 \tabularnewline
205 & 1 & 0.233552640817687 & 0.766447359182313 \tabularnewline
206 & 0 & 0.0388914957567676 & -0.0388914957567676 \tabularnewline
207 & 0 & 0.0437210667668597 & -0.0437210667668597 \tabularnewline
208 & 0 & 0.232044719331428 & -0.232044719331428 \tabularnewline
209 & 0 & 0.0346052926825798 & -0.0346052926825798 \tabularnewline
210 & 0 & 0.0553541698383395 & -0.0553541698383395 \tabularnewline
211 & 1 & 0.0850505398491979 & 0.914949460150802 \tabularnewline
212 & 0 & 0.0928965171900111 & -0.0928965171900111 \tabularnewline
213 & 0 & 0.1217618348391 & -0.1217618348391 \tabularnewline
214 & 0 & 0.240823168155962 & -0.240823168155962 \tabularnewline
215 & 1 & 0.122425239471873 & 0.877574760528127 \tabularnewline
216 & 0 & 0.119542586489027 & -0.119542586489027 \tabularnewline
217 & 0 & 0.144025221315152 & -0.144025221315152 \tabularnewline
218 & 0 & 0.15771465277137 & -0.15771465277137 \tabularnewline
219 & 0 & 0.240633399987626 & -0.240633399987626 \tabularnewline
220 & 0 & 0.334816345418425 & -0.334816345418425 \tabularnewline
221 & 0 & 0.08014549312746 & -0.08014549312746 \tabularnewline
222 & 0 & 0.29703001946647 & -0.29703001946647 \tabularnewline
223 & 0 & 0.127664125911902 & -0.127664125911902 \tabularnewline
224 & 0 & 0.139222515080745 & -0.139222515080745 \tabularnewline
225 & 0 & 0.0981580165952749 & -0.0981580165952749 \tabularnewline
226 & 0 & 0.121660547941875 & -0.121660547941875 \tabularnewline
227 & 0 & 0.0577022904860304 & -0.0577022904860304 \tabularnewline
228 & 0 & 0.149530377450861 & -0.149530377450861 \tabularnewline
229 & 0 & 0.0828908059044698 & -0.0828908059044698 \tabularnewline
230 & 0 & 0.118975672233777 & -0.118975672233777 \tabularnewline
231 & 0 & 0.345078731273589 & -0.345078731273589 \tabularnewline
232 & 0 & 0.0802546486133187 & -0.0802546486133187 \tabularnewline
233 & 0 & 0.385764758051671 & -0.385764758051671 \tabularnewline
234 & 0 & 0.448795025549736 & -0.448795025549736 \tabularnewline
235 & 0 & 0.233489376810526 & -0.233489376810526 \tabularnewline
236 & 0 & 0.135254452500758 & -0.135254452500758 \tabularnewline
237 & 0 & 0.383713180331897 & -0.383713180331897 \tabularnewline
238 & 1 & 0.421400652124986 & 0.578599347875014 \tabularnewline
239 & 0 & 0.154450776147002 & -0.154450776147002 \tabularnewline
240 & 0 & 0.291169803544742 & -0.291169803544742 \tabularnewline
241 & 1 & 0.211935681880757 & 0.788064318119243 \tabularnewline
242 & 0 & 0.488655538697022 & -0.488655538697022 \tabularnewline
243 & 0 & 0.145277258473551 & -0.145277258473551 \tabularnewline
244 & 0 & 0.121316884626509 & -0.121316884626509 \tabularnewline
245 & 0 & 0.0680904608830145 & -0.0680904608830145 \tabularnewline
246 & 1 & 0.147893250281714 & 0.852106749718286 \tabularnewline
247 & 0 & 0.200560401169829 & -0.200560401169829 \tabularnewline
248 & 1 & 0.0755683579630824 & 0.924431642036918 \tabularnewline
249 & 0 & 0.114444919646071 & -0.114444919646071 \tabularnewline
250 & 0 & 0.128982836231934 & -0.128982836231934 \tabularnewline
251 & 0 & 0.191922040860545 & -0.191922040860545 \tabularnewline
252 & 0 & 0.18011788147159 & -0.18011788147159 \tabularnewline
253 & 0 & 0.133620021351352 & -0.133620021351352 \tabularnewline
254 & 0 & 0.115392779579453 & -0.115392779579453 \tabularnewline
255 & 0 & 0.245030786712262 & -0.245030786712262 \tabularnewline
256 & 0 & 0.377226945809654 & -0.377226945809654 \tabularnewline
257 & 0 & 0.212195758677288 & -0.212195758677288 \tabularnewline
258 & 0 & 0.164495547084768 & -0.164495547084768 \tabularnewline
259 & 0 & 0.13091408637729 & -0.13091408637729 \tabularnewline
260 & 1 & 0.224634107836233 & 0.775365892163767 \tabularnewline
261 & 0 & 0.168347903723475 & -0.168347903723475 \tabularnewline
262 & 0 & 0.260377009314653 & -0.260377009314653 \tabularnewline
263 & 0 & 0.133691062161565 & -0.133691062161565 \tabularnewline
264 & 0 & 0.317586281626229 & -0.317586281626229 \tabularnewline
265 & 0 & 0.0743331960740037 & -0.0743331960740037 \tabularnewline
266 & 0 & 0.543498067099063 & -0.543498067099063 \tabularnewline
267 & 0 & 0.106333057772632 & -0.106333057772632 \tabularnewline
268 & 0 & 0.362284952851227 & -0.362284952851227 \tabularnewline
269 & 0 & 0.213305566217403 & -0.213305566217403 \tabularnewline
270 & 1 & 0.101832390956283 & 0.898167609043717 \tabularnewline
271 & 1 & 0.217011244944732 & 0.782988755055268 \tabularnewline
272 & 0 & 0.192107160312624 & -0.192107160312624 \tabularnewline
273 & 1 & 0.134901116796797 & 0.865098883203203 \tabularnewline
274 & 0 & 0.151513193375922 & -0.151513193375922 \tabularnewline
275 & 1 & 0.176416882227259 & 0.823583117772741 \tabularnewline
276 & 0 & 0.268636711796711 & -0.268636711796711 \tabularnewline
277 & 0 & 0.101544075622787 & -0.101544075622787 \tabularnewline
278 & 0 & 0.095334281222103 & -0.095334281222103 \tabularnewline
279 & 0 & 0.105741794332989 & -0.105741794332989 \tabularnewline
280 & 0 & 0.106802984067628 & -0.106802984067628 \tabularnewline
281 & 0 & 0.11958415749194 & -0.11958415749194 \tabularnewline
282 & 0 & 0.0971113263627547 & -0.0971113263627547 \tabularnewline
283 & 0 & 0.142732348821836 & -0.142732348821836 \tabularnewline
284 & 0 & 0.0888297945880236 & -0.0888297945880236 \tabularnewline
285 & 0 & 0.400230815197804 & -0.400230815197804 \tabularnewline
286 & 0 & 0.0717864719911779 & -0.0717864719911779 \tabularnewline
287 & 0 & 0.42669188418387 & -0.42669188418387 \tabularnewline
288 & 0 & 0.253738649461932 & -0.253738649461932 \tabularnewline
289 & 0 & 0.0729298529723078 & -0.0729298529723078 \tabularnewline
290 & 0 & 0.178174561122373 & -0.178174561122373 \tabularnewline
291 & 1 & 0.120430809222082 & 0.879569190777918 \tabularnewline
292 & 0 & 0.354180589796599 & -0.354180589796599 \tabularnewline
293 & 0 & 0.0805860056179404 & -0.0805860056179404 \tabularnewline
294 & 0 & 0.373457995102837 & -0.373457995102837 \tabularnewline
295 & 0 & 0.69099092584435 & -0.69099092584435 \tabularnewline
296 & 0 & 0.220876261356085 & -0.220876261356085 \tabularnewline
297 & 0 & 0.624420786857008 & -0.624420786857008 \tabularnewline
298 & 0 & 0.545941382024361 & -0.545941382024361 \tabularnewline
299 & 1 & 0.234960917836655 & 0.765039082163345 \tabularnewline
300 & 0 & 0.11878164940685 & -0.11878164940685 \tabularnewline
301 & 0 & 0.330087840055763 & -0.330087840055763 \tabularnewline
302 & 0 & 0.198403734192768 & -0.198403734192768 \tabularnewline
303 & 1 & 0.0578546265557859 & 0.942145373444214 \tabularnewline
304 & 0 & 0.242364315038121 & -0.242364315038121 \tabularnewline
305 & 1 & 0.169502745463079 & 0.830497254536921 \tabularnewline
306 & 1 & 0.338215076056872 & 0.661784923943128 \tabularnewline
307 & 0 & 0.0413139099931508 & -0.0413139099931508 \tabularnewline
308 & 0 & 0.385905987100657 & -0.385905987100657 \tabularnewline
309 & 0 & 0.423315355348418 & -0.423315355348418 \tabularnewline
310 & 0 & 0.0921091194310058 & -0.0921091194310058 \tabularnewline
311 & 0 & 0.158424623166457 & -0.158424623166457 \tabularnewline
312 & 1 & 0.0760587465951211 & 0.923941253404879 \tabularnewline
313 & 1 & 0.507469904185939 & 0.492530095814061 \tabularnewline
314 & 0 & 0.139452763736799 & -0.139452763736799 \tabularnewline
315 & 0 & 0.137862427944662 & -0.137862427944662 \tabularnewline
316 & 0 & 0.204388280824111 & -0.204388280824111 \tabularnewline
317 & 0 & 0.117055674842718 & -0.117055674842718 \tabularnewline
318 & 1 & 0.274947216266537 & 0.725052783733463 \tabularnewline
319 & 0 & 0.182454124916225 & -0.182454124916225 \tabularnewline
320 & 0 & 0.348833241569716 & -0.348833241569716 \tabularnewline
321 & 0 & 0.109046512421913 & -0.109046512421913 \tabularnewline
322 & 0 & 0.336732375788945 & -0.336732375788945 \tabularnewline
323 & 0 & 0.104296278121066 & -0.104296278121066 \tabularnewline
324 & 0 & 0.225024836204246 & -0.225024836204246 \tabularnewline
325 & 1 & 0.136953662073815 & 0.863046337926185 \tabularnewline
326 & 0 & 0.18866609940799 & -0.18866609940799 \tabularnewline
327 & 1 & 0.317308699349908 & 0.682691300650092 \tabularnewline
328 & 0 & 0.403356470024452 & -0.403356470024452 \tabularnewline
329 & 0 & 0.0895432781210719 & -0.0895432781210719 \tabularnewline
330 & 0 & 0.135014989815477 & -0.135014989815477 \tabularnewline
331 & 0 & 0.0797873051152606 & -0.0797873051152606 \tabularnewline
332 & 0 & 0.0646666452727594 & -0.0646666452727594 \tabularnewline
333 & 0 & 0.331355089767652 & -0.331355089767652 \tabularnewline
334 & 0 & 0.0744291498865784 & -0.0744291498865784 \tabularnewline
335 & 0 & 0.097183313195589 & -0.097183313195589 \tabularnewline
336 & 1 & 0.16623170771498 & 0.83376829228502 \tabularnewline
337 & 0 & 0.402325494226462 & -0.402325494226462 \tabularnewline
338 & 0 & 0.135316761948711 & -0.135316761948711 \tabularnewline
339 & 0 & 0.0864375281577293 & -0.0864375281577293 \tabularnewline
340 & 0 & 0.0726748828505812 & -0.0726748828505812 \tabularnewline
341 & 0 & 0.153306150544929 & -0.153306150544929 \tabularnewline
342 & 0 & 0.0700771900900143 & -0.0700771900900143 \tabularnewline
343 & 0 & 0.118609748812541 & -0.118609748812541 \tabularnewline
344 & 0 & 0.317772005214784 & -0.317772005214784 \tabularnewline
345 & 0 & 0.0781958330158413 & -0.0781958330158413 \tabularnewline
346 & 0 & 0.0760496695885345 & -0.0760496695885345 \tabularnewline
347 & 0 & 0.130820190686751 & -0.130820190686751 \tabularnewline
348 & 0 & 0.0539227095697265 & -0.0539227095697265 \tabularnewline
349 & 0 & 0.128741421084799 & -0.128741421084799 \tabularnewline
350 & 0 & 0.105920537906155 & -0.105920537906155 \tabularnewline
351 & 0 & 0.10969208766145 & -0.10969208766145 \tabularnewline
352 & 0 & 0.150217798819485 & -0.150217798819485 \tabularnewline
353 & 0 & 0.419758293204957 & -0.419758293204957 \tabularnewline
354 & 0 & 0.0923889322868545 & -0.0923889322868545 \tabularnewline
355 & 0 & 0.198924837686021 & -0.198924837686021 \tabularnewline
356 & 0 & 0.131909965543173 & -0.131909965543173 \tabularnewline
357 & 0 & 0.0274101805788335 & -0.0274101805788335 \tabularnewline
358 & 0 & 0.0914462749284879 & -0.0914462749284879 \tabularnewline
359 & 0 & 0.157153619575836 & -0.157153619575836 \tabularnewline
360 & 0 & 0.145483371374931 & -0.145483371374931 \tabularnewline
361 & 0 & 0.106191349830339 & -0.106191349830339 \tabularnewline
362 & 0 & 0.235575301354319 & -0.235575301354319 \tabularnewline
363 & 0 & 0.0713303436858341 & -0.0713303436858341 \tabularnewline
364 & 1 & 0.105815637201195 & 0.894184362798805 \tabularnewline
365 & 0 & 0.277650116392725 & -0.277650116392725 \tabularnewline
366 & 0 & 0.0961954183910454 & -0.0961954183910454 \tabularnewline
367 & 0 & 0.236142678261231 & -0.236142678261231 \tabularnewline
368 & 0 & 0.0779555859551314 & -0.0779555859551314 \tabularnewline
369 & 1 & 0.0467285301186145 & 0.953271469881386 \tabularnewline
370 & 0 & 0.0849579996530368 & -0.0849579996530368 \tabularnewline
371 & 0 & 0.140162032883323 & -0.140162032883323 \tabularnewline
372 & 0 & 0.216210786376076 & -0.216210786376076 \tabularnewline
373 & 0 & 0.112135898549987 & -0.112135898549987 \tabularnewline
374 & 0 & 0.117906912029704 & -0.117906912029704 \tabularnewline
375 & 0 & 0.143325246558159 & -0.143325246558159 \tabularnewline
376 & 1 & 0.107171745534387 & 0.892828254465613 \tabularnewline
377 & 0 & 0.107703049420077 & -0.107703049420077 \tabularnewline
378 & 0 & 0.210659502270267 & -0.210659502270267 \tabularnewline
379 & 0 & 0.161437223366005 & -0.161437223366005 \tabularnewline
380 & 0 & 0.202011063645034 & -0.202011063645034 \tabularnewline
381 & 0 & 0.0365700185156603 & -0.0365700185156603 \tabularnewline
382 & 0 & 0.0572405607301285 & -0.0572405607301285 \tabularnewline
383 & 0 & 0.080820951461715 & -0.080820951461715 \tabularnewline
384 & 1 & 0.0495992723829466 & 0.950400727617053 \tabularnewline
385 & 0 & 0.173910805846539 & -0.173910805846539 \tabularnewline
386 & 0 & 0.308871267923839 & -0.308871267923839 \tabularnewline
387 & 0 & 0.12936886255391 & -0.12936886255391 \tabularnewline
388 & 0 & 0.192322750053556 & -0.192322750053556 \tabularnewline
389 & 0 & 0.310292024436909 & -0.310292024436909 \tabularnewline
390 & 0 & 0.269537569260323 & -0.269537569260323 \tabularnewline
391 & 0 & 0.152263911403361 & -0.152263911403361 \tabularnewline
392 & 0 & 0.222951391260745 & -0.222951391260745 \tabularnewline
393 & 1 & 0.32803077666414 & 0.67196922333586 \tabularnewline
394 & 0 & 0.178814124782702 & -0.178814124782702 \tabularnewline
395 & 1 & 0.159703181373872 & 0.840296818626128 \tabularnewline
396 & 0 & 0.0460223446862333 & -0.0460223446862333 \tabularnewline
397 & 0 & 0.452200027381947 & -0.452200027381947 \tabularnewline
398 & 0 & 0.359073151965273 & -0.359073151965273 \tabularnewline
399 & 0 & 0.160570970333111 & -0.160570970333111 \tabularnewline
400 & 0 & 0.131954595612281 & -0.131954595612281 \tabularnewline
401 & 0 & 0.0743220163934264 & -0.0743220163934264 \tabularnewline
402 & 0 & 0.0866220414087314 & -0.0866220414087314 \tabularnewline
403 & 1 & 0.0480547417976347 & 0.951945258202365 \tabularnewline
404 & 0 & 0.151883838681631 & -0.151883838681631 \tabularnewline
405 & 0 & 0.171525368699331 & -0.171525368699331 \tabularnewline
406 & 0 & 0.11827274649138 & -0.11827274649138 \tabularnewline
407 & 0 & 0.201750713522135 & -0.201750713522135 \tabularnewline
408 & 0 & 0.180161666457081 & -0.180161666457081 \tabularnewline
409 & 0 & 0.221728681869978 & -0.221728681869978 \tabularnewline
410 & 0 & 0.202978130119701 & -0.202978130119701 \tabularnewline
411 & 0 & 0.271473600402432 & -0.271473600402432 \tabularnewline
412 & 0 & 0.390116190294998 & -0.390116190294998 \tabularnewline
413 & 0 & 0.16142855861607 & -0.16142855861607 \tabularnewline
414 & 0 & 0.0708858623490446 & -0.0708858623490446 \tabularnewline
415 & 0 & 0.208861709476806 & -0.208861709476806 \tabularnewline
416 & 1 & 0.12511324127789 & 0.87488675872211 \tabularnewline
417 & 0 & 0.094376308686984 & -0.094376308686984 \tabularnewline
418 & 1 & 0.18725560532174 & 0.81274439467826 \tabularnewline
419 & 0 & 0.25665900620557 & -0.25665900620557 \tabularnewline
420 & 0 & 0.284133789678238 & -0.284133789678238 \tabularnewline
421 & 0 & 0.218055522991643 & -0.218055522991643 \tabularnewline
422 & 1 & 0.305135076175745 & 0.694864923824255 \tabularnewline
423 & 0 & 0.13453846806628 & -0.13453846806628 \tabularnewline
424 & 0 & 0.38313111661012 & -0.38313111661012 \tabularnewline
425 & 0 & 0.220318669772209 & -0.220318669772209 \tabularnewline
426 & 0 & 0.190479829880661 & -0.190479829880661 \tabularnewline
427 & 1 & 0.164978016739581 & 0.835021983260419 \tabularnewline
428 & 0 & 0.304581333681114 & -0.304581333681114 \tabularnewline
429 & 1 & 0.177450357693146 & 0.822549642306853 \tabularnewline
430 & 1 & 0.408617334275132 & 0.591382665724868 \tabularnewline
431 & 0 & 0.386512878280634 & -0.386512878280634 \tabularnewline
432 & 0 & 0.154415858038058 & -0.154415858038058 \tabularnewline
433 & 0 & 0.130248296187811 & -0.130248296187811 \tabularnewline
434 & 0 & 0.207180710214232 & -0.207180710214232 \tabularnewline
435 & 1 & 0.280302660843648 & 0.719697339156352 \tabularnewline
436 & 0 & 0.121451156463701 & -0.121451156463701 \tabularnewline
437 & 1 & 0.59047695528902 & 0.40952304471098 \tabularnewline
438 & 0 & 0.149997995628112 & -0.149997995628112 \tabularnewline
439 & 0 & 0.144118216781983 & -0.144118216781983 \tabularnewline
440 & 0 & 0.0841660644130709 & -0.0841660644130709 \tabularnewline
441 & 0 & 0.102524757474334 & -0.102524757474334 \tabularnewline
442 & 0 & 0.160579693783227 & -0.160579693783227 \tabularnewline
443 & 0 & 0.0271382556087484 & -0.0271382556087484 \tabularnewline
444 & 1 & 0.154704461895195 & 0.845295538104805 \tabularnewline
445 & 0 & 0.118520832893867 & -0.118520832893867 \tabularnewline
446 & 0 & 0.185807004755019 & -0.185807004755019 \tabularnewline
447 & 0 & 0.152763744447725 & -0.152763744447725 \tabularnewline
448 & 1 & 0.0792169039804441 & 0.920783096019556 \tabularnewline
449 & 0 & 0.237891704290659 & -0.237891704290659 \tabularnewline
450 & 0 & 0.244169667588397 & -0.244169667588397 \tabularnewline
451 & 0 & 0.1202878494651 & -0.1202878494651 \tabularnewline
452 & 0 & 0.514549914848305 & -0.514549914848305 \tabularnewline
453 & 0 & 0.0798962416217811 & -0.0798962416217811 \tabularnewline
454 & 0 & 0.2680841327363 & -0.2680841327363 \tabularnewline
455 & 0 & 0.103732213270424 & -0.103732213270424 \tabularnewline
456 & 0 & 0.185274044174459 & -0.185274044174459 \tabularnewline
457 & 0 & 0.102599231588794 & -0.102599231588794 \tabularnewline
458 & 0 & 0.295351210085836 & -0.295351210085836 \tabularnewline
459 & 0 & 0.256733080281225 & -0.256733080281225 \tabularnewline
460 & 0 & 0.107869562724955 & -0.107869562724955 \tabularnewline
461 & 1 & 0.234704718470728 & 0.765295281529272 \tabularnewline
462 & 0 & 0.0790626609491452 & -0.0790626609491452 \tabularnewline
463 & 0 & 0.138068161571537 & -0.138068161571537 \tabularnewline
464 & 0 & 0.186363902342361 & -0.186363902342361 \tabularnewline
465 & 0 & 0.535286569385421 & -0.535286569385421 \tabularnewline
466 & 0 & 0.0910337635285151 & -0.0910337635285151 \tabularnewline
467 & 0 & 0.0681181768267718 & -0.0681181768267718 \tabularnewline
468 & 0 & 0.0690934591055003 & -0.0690934591055003 \tabularnewline
469 & 0 & 0.121449093072397 & -0.121449093072397 \tabularnewline
470 & 0 & 0.119882584197245 & -0.119882584197245 \tabularnewline
471 & 0 & 0.0411970286114007 & -0.0411970286114007 \tabularnewline
472 & 0 & 0.091060275739003 & -0.091060275739003 \tabularnewline
473 & 1 & 0.35173789663247 & 0.64826210336753 \tabularnewline
474 & 1 & 0.123943283292724 & 0.876056716707276 \tabularnewline
475 & 0 & 0.0556974271592291 & -0.0556974271592291 \tabularnewline
476 & 0 & 0.123903220831032 & -0.123903220831032 \tabularnewline
477 & 0 & 0.559291256224401 & -0.559291256224401 \tabularnewline
478 & 0 & 0.352642962191873 & -0.352642962191873 \tabularnewline
479 & 0 & 0.219090366065312 & -0.219090366065312 \tabularnewline
480 & 0 & 0.267817828750068 & -0.267817828750068 \tabularnewline
481 & 0 & 0.12515480166956 & -0.12515480166956 \tabularnewline
482 & 0 & 0.158144463574435 & -0.158144463574435 \tabularnewline
483 & 1 & 0.301104341698503 & 0.698895658301497 \tabularnewline
484 & 0 & 0.15623001473272 & -0.15623001473272 \tabularnewline
485 & 1 & 0.0643378005355382 & 0.935662199464462 \tabularnewline
486 & 1 & 0.0571167606813641 & 0.942883239318636 \tabularnewline
487 & 1 & 0.0821034756421079 & 0.917896524357892 \tabularnewline
488 & 0 & 0.0782248814828813 & -0.0782248814828813 \tabularnewline
489 & 0 & 0.102582906381098 & -0.102582906381098 \tabularnewline
490 & 0 & 0.120178315729207 & -0.120178315729207 \tabularnewline
491 & 0 & 0.114104943420927 & -0.114104943420927 \tabularnewline
492 & 0 & 0.323971401280193 & -0.323971401280193 \tabularnewline
493 & 0 & 0.55248859386666 & -0.55248859386666 \tabularnewline
494 & 0 & 0.107135103511044 & -0.107135103511044 \tabularnewline
495 & 0 & 0.188045232198045 & -0.188045232198045 \tabularnewline
496 & 1 & 0.418783682576152 & 0.581216317423848 \tabularnewline
497 & 0 & 0.0576880650940235 & -0.0576880650940235 \tabularnewline
498 & 0 & 0.222581015402542 & -0.222581015402542 \tabularnewline
499 & 0 & 0.117145719866137 & -0.117145719866137 \tabularnewline
500 & 0 & 0.241973879057925 & -0.241973879057925 \tabularnewline
501 & 1 & 0.0937564341892432 & 0.906243565810757 \tabularnewline
502 & 0 & 0.0686357474114312 & -0.0686357474114312 \tabularnewline
503 & 1 & 0.113419323387836 & 0.886580676612164 \tabularnewline
504 & 0 & 0.114230843250113 & -0.114230843250113 \tabularnewline
505 & 1 & 0.488195784030004 & 0.511804215969996 \tabularnewline
506 & 1 & 0.0896083949094871 & 0.910391605090513 \tabularnewline
507 & 1 & 0.0723649810762391 & 0.927635018923761 \tabularnewline
508 & 0 & 0.111839808417598 & -0.111839808417598 \tabularnewline
509 & 1 & 0.0599201211901618 & 0.940079878809838 \tabularnewline
510 & 0 & 0.0247643815703594 & -0.0247643815703594 \tabularnewline
511 & 0 & 0.0840515765347796 & -0.0840515765347796 \tabularnewline
512 & 0 & 0.436711029799646 & -0.436711029799646 \tabularnewline
513 & 1 & 0.313632824913199 & 0.686367175086801 \tabularnewline
514 & 0 & 0.225471469228784 & -0.225471469228784 \tabularnewline
515 & 1 & 0.208315561705356 & 0.791684438294644 \tabularnewline
516 & 0 & 0.0634530022696824 & -0.0634530022696824 \tabularnewline
517 & 0 & 0.108056374153472 & -0.108056374153472 \tabularnewline
518 & 0 & 0.137014432662167 & -0.137014432662167 \tabularnewline
519 & 0 & 0.384969136153885 & -0.384969136153885 \tabularnewline
520 & 0 & 0.128680141482072 & -0.128680141482072 \tabularnewline
521 & 0 & 0.193874154468797 & -0.193874154468797 \tabularnewline
522 & 0 & 0.249408414409287 & -0.249408414409287 \tabularnewline
523 & 1 & 0.149770011092 & 0.850229988908 \tabularnewline
524 & 0 & 0.345254510532129 & -0.345254510532129 \tabularnewline
525 & 0 & 0.184448403655258 & -0.184448403655258 \tabularnewline
526 & 0 & 0.256948266705599 & -0.256948266705599 \tabularnewline
527 & 0 & 0.0930552607562121 & -0.0930552607562121 \tabularnewline
528 & 0 & 0.186808500446235 & -0.186808500446235 \tabularnewline
529 & 0 & 0.066637249143405 & -0.066637249143405 \tabularnewline
530 & 0 & 0.0584505894009623 & -0.0584505894009623 \tabularnewline
531 & 0 & 0.22754495113265 & -0.22754495113265 \tabularnewline
532 & 0 & 0.0682290482361766 & -0.0682290482361766 \tabularnewline
533 & 0 & 0.0917536464313459 & -0.0917536464313459 \tabularnewline
534 & 0 & 0.125919311971282 & -0.125919311971282 \tabularnewline
535 & 0 & 0.047751308110369 & -0.047751308110369 \tabularnewline
536 & 1 & 0.0620056562095894 & 0.937994343790411 \tabularnewline
537 & 0 & 0.0370459333718617 & -0.0370459333718617 \tabularnewline
538 & 0 & 0.323953817228199 & -0.323953817228199 \tabularnewline
539 & 0 & 0.165240447953856 & -0.165240447953856 \tabularnewline
540 & 0 & 0.205162189852945 & -0.205162189852945 \tabularnewline
541 & 0 & 0.272709349595701 & -0.272709349595701 \tabularnewline
542 & 0 & 0.168729257624928 & -0.168729257624928 \tabularnewline
543 & 1 & 0.0763871013284456 & 0.923612898671554 \tabularnewline
544 & 0 & 0.0612539398809987 & -0.0612539398809987 \tabularnewline
545 & 0 & 0.237013119020478 & -0.237013119020478 \tabularnewline
546 & 0 & 0.207065531240156 & -0.207065531240156 \tabularnewline
547 & 1 & 0.127853133306428 & 0.872146866693572 \tabularnewline
548 & 0 & 0.1802842379787 & -0.1802842379787 \tabularnewline
549 & 0 & 0.123870069678337 & -0.123870069678337 \tabularnewline
550 & 0 & 0.106294827284889 & -0.106294827284889 \tabularnewline
551 & 0 & 0.103088326713125 & -0.103088326713125 \tabularnewline
552 & 0 & 0.0417161657489806 & -0.0417161657489806 \tabularnewline
553 & 0 & 0.200056735224077 & -0.200056735224077 \tabularnewline
554 & 1 & 0.0717055882576107 & 0.928294411742389 \tabularnewline
555 & 1 & 0.167269659759635 & 0.832730340240365 \tabularnewline
556 & 0 & 0.318126795881252 & -0.318126795881252 \tabularnewline
557 & 1 & 0.0722103511919115 & 0.927789648808089 \tabularnewline
558 & 0 & 0.100249928627805 & -0.100249928627805 \tabularnewline
559 & 0 & 0.18377822959924 & -0.18377822959924 \tabularnewline
560 & 0 & 0.0826376739102017 & -0.0826376739102017 \tabularnewline
561 & 0 & 0.0735627240812038 & -0.0735627240812038 \tabularnewline
562 & 0 & 0.0769628730473384 & -0.0769628730473384 \tabularnewline
563 & 0 & 0.0374092801450535 & -0.0374092801450535 \tabularnewline
564 & 0 & 0.073867547517354 & -0.073867547517354 \tabularnewline
565 & 1 & 0.129323944863171 & 0.870676055136829 \tabularnewline
566 & 0 & 0.363794095301824 & -0.363794095301824 \tabularnewline
567 & 1 & 0.0855331401171379 & 0.914466859882862 \tabularnewline
568 & 0 & 0.167859680585854 & -0.167859680585854 \tabularnewline
569 & 0 & 0.396172860391953 & -0.396172860391953 \tabularnewline
570 & 0 & 0.15614463810287 & -0.15614463810287 \tabularnewline
571 & 0 & 0.117935189901428 & -0.117935189901428 \tabularnewline
572 & 0 & 0.22509344150728 & -0.22509344150728 \tabularnewline
573 & 0 & 0.304057930487644 & -0.304057930487644 \tabularnewline
574 & 0 & 0.186858057868778 & -0.186858057868778 \tabularnewline
575 & 0 & 0.0630643598643943 & -0.0630643598643943 \tabularnewline
576 & 0 & 0.255507057397899 & -0.255507057397899 \tabularnewline
577 & 1 & 0.0959089133681056 & 0.904091086631894 \tabularnewline
578 & 1 & 0.118537788347292 & 0.881462211652708 \tabularnewline
579 & 0 & 0.201958356109897 & -0.201958356109897 \tabularnewline
580 & 0 & 0.150991640836153 & -0.150991640836153 \tabularnewline
581 & 0 & 0.0228152289788275 & -0.0228152289788275 \tabularnewline
582 & 1 & 0.0701793879662108 & 0.929820612033789 \tabularnewline
583 & 0 & 0.374049683197071 & -0.374049683197071 \tabularnewline
584 & 0 & 0.129419576892635 & -0.129419576892635 \tabularnewline
585 & 0 & 0.153575136080827 & -0.153575136080827 \tabularnewline
586 & 0 & 0.366328027191434 & -0.366328027191434 \tabularnewline
587 & 0 & 0.0848066370444855 & -0.0848066370444855 \tabularnewline
588 & 1 & 0.120500381870157 & 0.879499618129843 \tabularnewline
589 & 0 & 0.48771737052034 & -0.48771737052034 \tabularnewline
590 & 0 & 0.227337621359388 & -0.227337621359388 \tabularnewline
591 & 0 & 0.112883859612843 & -0.112883859612843 \tabularnewline
592 & 1 & 0.123055621661585 & 0.876944378338415 \tabularnewline
593 & 0 & 0.0857479018407935 & -0.0857479018407935 \tabularnewline
594 & 0 & 0.0834725129850356 & -0.0834725129850356 \tabularnewline
595 & 0 & 0.127645824280043 & -0.127645824280043 \tabularnewline
596 & 0 & 0.230678351460187 & -0.230678351460187 \tabularnewline
597 & 0 & 0.203753135275934 & -0.203753135275934 \tabularnewline
598 & 0 & 0.074117399612436 & -0.074117399612436 \tabularnewline
599 & 0 & 0.0783820625146097 & -0.0783820625146097 \tabularnewline
600 & 0 & 0.197849544382698 & -0.197849544382698 \tabularnewline
601 & 0 & 0.124358934548805 & -0.124358934548805 \tabularnewline
602 & 0 & 0.0927277792707363 & -0.0927277792707363 \tabularnewline
603 & 0 & 0.157950897943191 & -0.157950897943191 \tabularnewline
604 & 0 & 0.173923213315125 & -0.173923213315125 \tabularnewline
605 & 1 & 0.0741155876051636 & 0.925884412394836 \tabularnewline
606 & 0 & 0.113511429208509 & -0.113511429208509 \tabularnewline
607 & 0 & 0.107727199578144 & -0.107727199578144 \tabularnewline
608 & 0 & 0.0681033772635659 & -0.0681033772635659 \tabularnewline
609 & 1 & 0.0872463934363819 & 0.912753606563618 \tabularnewline
610 & 0 & 0.0941475889462911 & -0.0941475889462911 \tabularnewline
611 & 0 & 0.209647592896247 & -0.209647592896247 \tabularnewline
612 & 0 & 0.149370633156555 & -0.149370633156555 \tabularnewline
613 & 0 & 0.134040374454978 & -0.134040374454978 \tabularnewline
614 & 0 & 0.522400745656401 & -0.522400745656401 \tabularnewline
615 & 0 & 0.195425869059275 & -0.195425869059275 \tabularnewline
616 & 0 & 0.183333208237886 & -0.183333208237886 \tabularnewline
617 & 0 & 0.572541853014753 & -0.572541853014753 \tabularnewline
618 & 0 & 0.135562594312487 & -0.135562594312487 \tabularnewline
619 & 1 & 0.248906171653412 & 0.751093828346588 \tabularnewline
620 & 0 & 0.171939806879156 & -0.171939806879156 \tabularnewline
621 & 0 & 0.158043723577801 & -0.158043723577801 \tabularnewline
622 & 0 & 0.0491145306051511 & -0.0491145306051511 \tabularnewline
623 & 0 & 0.175268981131328 & -0.175268981131328 \tabularnewline
624 & 0 & 0.192456719826213 & -0.192456719826213 \tabularnewline
625 & 0 & 0.47859548499925 & -0.47859548499925 \tabularnewline
626 & 1 & 0.0861176065636535 & 0.913882393436346 \tabularnewline
627 & 0 & 0.199949897674209 & -0.199949897674209 \tabularnewline
628 & 0 & 0.0497265762317603 & -0.0497265762317603 \tabularnewline
629 & 0 & 0.11765506800137 & -0.11765506800137 \tabularnewline
630 & 0 & 0.236847632612928 & -0.236847632612928 \tabularnewline
631 & 0 & 0.153498588321297 & -0.153498588321297 \tabularnewline
632 & 0 & 0.243756018765965 & -0.243756018765965 \tabularnewline
633 & 0 & 0.290352316182752 & -0.290352316182752 \tabularnewline
634 & 0 & 0.181615558094131 & -0.181615558094131 \tabularnewline
635 & 0 & 0.425600016497731 & -0.425600016497731 \tabularnewline
636 & 0 & 0.201044259291789 & -0.201044259291789 \tabularnewline
637 & 0 & 0.0838314825204974 & -0.0838314825204974 \tabularnewline
638 & 0 & 0.0929428236159057 & -0.0929428236159057 \tabularnewline
639 & 0 & 0.101302193041329 & -0.101302193041329 \tabularnewline
640 & 0 & 0.0666964496513996 & -0.0666964496513996 \tabularnewline
641 & 0 & 0.159969625595425 & -0.159969625595425 \tabularnewline
642 & 0 & 0.101801522280184 & -0.101801522280184 \tabularnewline
643 & 0 & 0.19183040982812 & -0.19183040982812 \tabularnewline
644 & 1 & 0.0485790032732039 & 0.951420996726796 \tabularnewline
645 & 1 & 0.107297818478967 & 0.892702181521033 \tabularnewline
646 & 0 & 0.0996508970900055 & -0.0996508970900055 \tabularnewline
647 & 0 & 0.0688024369295162 & -0.0688024369295162 \tabularnewline
648 & 0 & 0.155318175909021 & -0.155318175909021 \tabularnewline
649 & 0 & 0.206146325039014 & -0.206146325039014 \tabularnewline
650 & 1 & 0.133697905758695 & 0.866302094241305 \tabularnewline
651 & 1 & 0.102942962181552 & 0.897057037818448 \tabularnewline
652 & 0 & 0.0428295593259498 & -0.0428295593259498 \tabularnewline
653 & 0 & 0.432715457951382 & -0.432715457951382 \tabularnewline
654 & 1 & 0.280114973249387 & 0.719885026750613 \tabularnewline
655 & 0 & 0.054595794348837 & -0.054595794348837 \tabularnewline
656 & 1 & 0.0473249676685166 & 0.952675032331483 \tabularnewline
657 & 0 & 0.137038920401829 & -0.137038920401829 \tabularnewline
658 & 1 & 0.109996377741395 & 0.890003622258605 \tabularnewline
659 & 0 & 0.213180855388013 & -0.213180855388013 \tabularnewline
660 & 0 & 0.0831088312588842 & -0.0831088312588842 \tabularnewline
661 & 0 & 0.155309350701697 & -0.155309350701697 \tabularnewline
662 & 0 & 0.200918550562616 & -0.200918550562616 \tabularnewline
663 & 0 & 0.44672882754838 & -0.44672882754838 \tabularnewline
664 & 0 & 0.0518259304619544 & -0.0518259304619544 \tabularnewline
665 & 0 & 0.100865186947811 & -0.100865186947811 \tabularnewline
666 & 0 & 0.15986830704115 & -0.15986830704115 \tabularnewline
667 & 1 & 0.298209398245771 & 0.701790601754229 \tabularnewline
668 & 0 & 0.185546469377154 & -0.185546469377154 \tabularnewline
669 & 0 & 0.0477249468844547 & -0.0477249468844547 \tabularnewline
670 & 0 & 0.152941386474154 & -0.152941386474154 \tabularnewline
671 & 0 & 0.106042583193424 & -0.106042583193424 \tabularnewline
672 & 0 & 0.111052040775763 & -0.111052040775763 \tabularnewline
673 & 0 & 0.0865567627010877 & -0.0865567627010877 \tabularnewline
674 & 0 & 0.0757079859443923 & -0.0757079859443923 \tabularnewline
675 & 0 & 0.0899951452655779 & -0.0899951452655779 \tabularnewline
676 & 1 & 0.0671873826218782 & 0.932812617378122 \tabularnewline
677 & 0 & 0.122508322879091 & -0.122508322879091 \tabularnewline
678 & 1 & 0.452172044048971 & 0.547827955951029 \tabularnewline
679 & 0 & 0.115973003119144 & -0.115973003119144 \tabularnewline
680 & 0 & 0.486937048170693 & -0.486937048170693 \tabularnewline
681 & 0 & 0.307187995826204 & -0.307187995826204 \tabularnewline
682 & 0 & 0.10037261111235 & -0.10037261111235 \tabularnewline
683 & 0 & 0.351999338586189 & -0.351999338586189 \tabularnewline
684 & 0 & 0.278336235784855 & -0.278336235784855 \tabularnewline
685 & 0 & 0.140325020960502 & -0.140325020960502 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=319667&T=3

[TABLE]
[ROW][C]Fit of Logistic Regression[/C][/ROW]
[ROW][C]Index[/C][C]Actual[/C][C]Fitted[/C][C]Error[/C][/ROW]
[ROW][C]1[/C][C]0[/C][C]0.194569681466274[/C][C]-0.194569681466274[/C][/ROW]
[ROW][C]2[/C][C]1[/C][C]0.160352372281538[/C][C]0.839647627718462[/C][/ROW]
[ROW][C]3[/C][C]0[/C][C]0.105922699744206[/C][C]-0.105922699744206[/C][/ROW]
[ROW][C]4[/C][C]0[/C][C]0.0387878852011959[/C][C]-0.0387878852011959[/C][/ROW]
[ROW][C]5[/C][C]0[/C][C]0.0561567281154842[/C][C]-0.0561567281154842[/C][/ROW]
[ROW][C]6[/C][C]0[/C][C]0.0934044305340295[/C][C]-0.0934044305340295[/C][/ROW]
[ROW][C]7[/C][C]1[/C][C]0.168692867016848[/C][C]0.831307132983152[/C][/ROW]
[ROW][C]8[/C][C]0[/C][C]0.145372021717225[/C][C]-0.145372021717225[/C][/ROW]
[ROW][C]9[/C][C]1[/C][C]0.304137130001973[/C][C]0.695862869998027[/C][/ROW]
[ROW][C]10[/C][C]0[/C][C]0.105417931884553[/C][C]-0.105417931884553[/C][/ROW]
[ROW][C]11[/C][C]0[/C][C]0.162279239062807[/C][C]-0.162279239062807[/C][/ROW]
[ROW][C]12[/C][C]0[/C][C]0.215182305368325[/C][C]-0.215182305368325[/C][/ROW]
[ROW][C]13[/C][C]0[/C][C]0.242166343499873[/C][C]-0.242166343499873[/C][/ROW]
[ROW][C]14[/C][C]0[/C][C]0.126160693189163[/C][C]-0.126160693189163[/C][/ROW]
[ROW][C]15[/C][C]1[/C][C]0.649596814035027[/C][C]0.350403185964973[/C][/ROW]
[ROW][C]16[/C][C]0[/C][C]0.0363590922136453[/C][C]-0.0363590922136453[/C][/ROW]
[ROW][C]17[/C][C]0[/C][C]0.155206379403592[/C][C]-0.155206379403592[/C][/ROW]
[ROW][C]18[/C][C]0[/C][C]0.0914259747350681[/C][C]-0.0914259747350681[/C][/ROW]
[ROW][C]19[/C][C]0[/C][C]0.0839070597453703[/C][C]-0.0839070597453703[/C][/ROW]
[ROW][C]20[/C][C]0[/C][C]0.235757774159712[/C][C]-0.235757774159712[/C][/ROW]
[ROW][C]21[/C][C]0[/C][C]0.111622201573944[/C][C]-0.111622201573944[/C][/ROW]
[ROW][C]22[/C][C]1[/C][C]0.0737048816851971[/C][C]0.926295118314803[/C][/ROW]
[ROW][C]23[/C][C]1[/C][C]0.0785610798635087[/C][C]0.921438920136491[/C][/ROW]
[ROW][C]24[/C][C]0[/C][C]0.143971697762037[/C][C]-0.143971697762037[/C][/ROW]
[ROW][C]25[/C][C]1[/C][C]0.2047141251396[/C][C]0.7952858748604[/C][/ROW]
[ROW][C]26[/C][C]0[/C][C]0.118885111217902[/C][C]-0.118885111217902[/C][/ROW]
[ROW][C]27[/C][C]0[/C][C]0.164147145825054[/C][C]-0.164147145825054[/C][/ROW]
[ROW][C]28[/C][C]0[/C][C]0.121169289554893[/C][C]-0.121169289554893[/C][/ROW]
[ROW][C]29[/C][C]0[/C][C]0.18906455214793[/C][C]-0.18906455214793[/C][/ROW]
[ROW][C]30[/C][C]0[/C][C]0.115552647798908[/C][C]-0.115552647798908[/C][/ROW]
[ROW][C]31[/C][C]0[/C][C]0.270279963053275[/C][C]-0.270279963053275[/C][/ROW]
[ROW][C]32[/C][C]1[/C][C]0.37051441517861[/C][C]0.62948558482139[/C][/ROW]
[ROW][C]33[/C][C]0[/C][C]0.180926315295435[/C][C]-0.180926315295435[/C][/ROW]
[ROW][C]34[/C][C]0[/C][C]0.0758027073668907[/C][C]-0.0758027073668907[/C][/ROW]
[ROW][C]35[/C][C]0[/C][C]0.145570360932371[/C][C]-0.145570360932371[/C][/ROW]
[ROW][C]36[/C][C]0[/C][C]0.142918774109546[/C][C]-0.142918774109546[/C][/ROW]
[ROW][C]37[/C][C]0[/C][C]0.275865697495103[/C][C]-0.275865697495103[/C][/ROW]
[ROW][C]38[/C][C]0[/C][C]0.0317407007396715[/C][C]-0.0317407007396715[/C][/ROW]
[ROW][C]39[/C][C]0[/C][C]0.452455347505054[/C][C]-0.452455347505054[/C][/ROW]
[ROW][C]40[/C][C]0[/C][C]0.0416361398043716[/C][C]-0.0416361398043716[/C][/ROW]
[ROW][C]41[/C][C]0[/C][C]0.105233183184059[/C][C]-0.105233183184059[/C][/ROW]
[ROW][C]42[/C][C]0[/C][C]0.0488052934327756[/C][C]-0.0488052934327756[/C][/ROW]
[ROW][C]43[/C][C]0[/C][C]0.15584357558068[/C][C]-0.15584357558068[/C][/ROW]
[ROW][C]44[/C][C]0[/C][C]0.20400639981837[/C][C]-0.20400639981837[/C][/ROW]
[ROW][C]45[/C][C]0[/C][C]0.117407256789081[/C][C]-0.117407256789081[/C][/ROW]
[ROW][C]46[/C][C]0[/C][C]0.116593327532638[/C][C]-0.116593327532638[/C][/ROW]
[ROW][C]47[/C][C]1[/C][C]0.132948800785106[/C][C]0.867051199214894[/C][/ROW]
[ROW][C]48[/C][C]0[/C][C]0.0677752029580878[/C][C]-0.0677752029580878[/C][/ROW]
[ROW][C]49[/C][C]0[/C][C]0.1396342185537[/C][C]-0.1396342185537[/C][/ROW]
[ROW][C]50[/C][C]0[/C][C]0.283055871780002[/C][C]-0.283055871780002[/C][/ROW]
[ROW][C]51[/C][C]0[/C][C]0.0681046668423899[/C][C]-0.0681046668423899[/C][/ROW]
[ROW][C]52[/C][C]0[/C][C]0.0650639722646425[/C][C]-0.0650639722646425[/C][/ROW]
[ROW][C]53[/C][C]1[/C][C]0.179769967195066[/C][C]0.820230032804934[/C][/ROW]
[ROW][C]54[/C][C]0[/C][C]0.264633328398834[/C][C]-0.264633328398834[/C][/ROW]
[ROW][C]55[/C][C]0[/C][C]0.136422478993677[/C][C]-0.136422478993677[/C][/ROW]
[ROW][C]56[/C][C]0[/C][C]0.21927372170291[/C][C]-0.21927372170291[/C][/ROW]
[ROW][C]57[/C][C]0[/C][C]0.187407093949397[/C][C]-0.187407093949397[/C][/ROW]
[ROW][C]58[/C][C]0[/C][C]0.0940892200205214[/C][C]-0.0940892200205214[/C][/ROW]
[ROW][C]59[/C][C]0[/C][C]0.15392398906523[/C][C]-0.15392398906523[/C][/ROW]
[ROW][C]60[/C][C]0[/C][C]0.168384530560094[/C][C]-0.168384530560094[/C][/ROW]
[ROW][C]61[/C][C]0[/C][C]0.182257811035524[/C][C]-0.182257811035524[/C][/ROW]
[ROW][C]62[/C][C]0[/C][C]0.18029467598133[/C][C]-0.18029467598133[/C][/ROW]
[ROW][C]63[/C][C]0[/C][C]0.055175088504024[/C][C]-0.055175088504024[/C][/ROW]
[ROW][C]64[/C][C]0[/C][C]0.229814992418647[/C][C]-0.229814992418647[/C][/ROW]
[ROW][C]65[/C][C]1[/C][C]0.259856920676566[/C][C]0.740143079323434[/C][/ROW]
[ROW][C]66[/C][C]0[/C][C]0.102275523006696[/C][C]-0.102275523006696[/C][/ROW]
[ROW][C]67[/C][C]0[/C][C]0.146731899205542[/C][C]-0.146731899205542[/C][/ROW]
[ROW][C]68[/C][C]0[/C][C]0.112493381826542[/C][C]-0.112493381826542[/C][/ROW]
[ROW][C]69[/C][C]0[/C][C]0.0701835568411365[/C][C]-0.0701835568411365[/C][/ROW]
[ROW][C]70[/C][C]0[/C][C]0.350248924691832[/C][C]-0.350248924691832[/C][/ROW]
[ROW][C]71[/C][C]0[/C][C]0.129122277610985[/C][C]-0.129122277610985[/C][/ROW]
[ROW][C]72[/C][C]0[/C][C]0.250698162143281[/C][C]-0.250698162143281[/C][/ROW]
[ROW][C]73[/C][C]1[/C][C]0.256081144795617[/C][C]0.743918855204383[/C][/ROW]
[ROW][C]74[/C][C]0[/C][C]0.466234789147359[/C][C]-0.466234789147359[/C][/ROW]
[ROW][C]75[/C][C]0[/C][C]0.240898441932374[/C][C]-0.240898441932374[/C][/ROW]
[ROW][C]76[/C][C]0[/C][C]0.150279085986161[/C][C]-0.150279085986161[/C][/ROW]
[ROW][C]77[/C][C]0[/C][C]0.0992838436090779[/C][C]-0.0992838436090779[/C][/ROW]
[ROW][C]78[/C][C]0[/C][C]0.383394941444694[/C][C]-0.383394941444694[/C][/ROW]
[ROW][C]79[/C][C]0[/C][C]0.202752151880783[/C][C]-0.202752151880783[/C][/ROW]
[ROW][C]80[/C][C]0[/C][C]0.27840483636697[/C][C]-0.27840483636697[/C][/ROW]
[ROW][C]81[/C][C]0[/C][C]0.221759308583486[/C][C]-0.221759308583486[/C][/ROW]
[ROW][C]82[/C][C]0[/C][C]0.140981523125559[/C][C]-0.140981523125559[/C][/ROW]
[ROW][C]83[/C][C]0[/C][C]0.153139373015421[/C][C]-0.153139373015421[/C][/ROW]
[ROW][C]84[/C][C]0[/C][C]0.0461229468996257[/C][C]-0.0461229468996257[/C][/ROW]
[ROW][C]85[/C][C]0[/C][C]0.175286293109965[/C][C]-0.175286293109965[/C][/ROW]
[ROW][C]86[/C][C]0[/C][C]0.0649505425263936[/C][C]-0.0649505425263936[/C][/ROW]
[ROW][C]87[/C][C]0[/C][C]0.348652717925397[/C][C]-0.348652717925397[/C][/ROW]
[ROW][C]88[/C][C]0[/C][C]0.202101831304726[/C][C]-0.202101831304726[/C][/ROW]
[ROW][C]89[/C][C]0[/C][C]0.0787866521043498[/C][C]-0.0787866521043498[/C][/ROW]
[ROW][C]90[/C][C]1[/C][C]0.239770977894516[/C][C]0.760229022105484[/C][/ROW]
[ROW][C]91[/C][C]0[/C][C]0.160915112234379[/C][C]-0.160915112234379[/C][/ROW]
[ROW][C]92[/C][C]0[/C][C]0.182408445787487[/C][C]-0.182408445787487[/C][/ROW]
[ROW][C]93[/C][C]0[/C][C]0.212103040376006[/C][C]-0.212103040376006[/C][/ROW]
[ROW][C]94[/C][C]0[/C][C]0.0598346751998189[/C][C]-0.0598346751998189[/C][/ROW]
[ROW][C]95[/C][C]0[/C][C]0.0968918866045784[/C][C]-0.0968918866045784[/C][/ROW]
[ROW][C]96[/C][C]0[/C][C]0.0915707418683808[/C][C]-0.0915707418683808[/C][/ROW]
[ROW][C]97[/C][C]0[/C][C]0.0401272969307685[/C][C]-0.0401272969307685[/C][/ROW]
[ROW][C]98[/C][C]0[/C][C]0.0230903674101253[/C][C]-0.0230903674101253[/C][/ROW]
[ROW][C]99[/C][C]1[/C][C]0.10250487609118[/C][C]0.89749512390882[/C][/ROW]
[ROW][C]100[/C][C]1[/C][C]0.0584679074301711[/C][C]0.941532092569829[/C][/ROW]
[ROW][C]101[/C][C]0[/C][C]0.0888980438625074[/C][C]-0.0888980438625074[/C][/ROW]
[ROW][C]102[/C][C]0[/C][C]0.0848549051523585[/C][C]-0.0848549051523585[/C][/ROW]
[ROW][C]103[/C][C]0[/C][C]0.110965615933151[/C][C]-0.110965615933151[/C][/ROW]
[ROW][C]104[/C][C]0[/C][C]0.100772837104695[/C][C]-0.100772837104695[/C][/ROW]
[ROW][C]105[/C][C]0[/C][C]0.0994633627435318[/C][C]-0.0994633627435318[/C][/ROW]
[ROW][C]106[/C][C]0[/C][C]0.0667236776620417[/C][C]-0.0667236776620417[/C][/ROW]
[ROW][C]107[/C][C]0[/C][C]0.151858942576511[/C][C]-0.151858942576511[/C][/ROW]
[ROW][C]108[/C][C]0[/C][C]0.0709151610355297[/C][C]-0.0709151610355297[/C][/ROW]
[ROW][C]109[/C][C]0[/C][C]0.0925591121348408[/C][C]-0.0925591121348408[/C][/ROW]
[ROW][C]110[/C][C]0[/C][C]0.0887737054150732[/C][C]-0.0887737054150732[/C][/ROW]
[ROW][C]111[/C][C]0[/C][C]0.233858251578482[/C][C]-0.233858251578482[/C][/ROW]
[ROW][C]112[/C][C]0[/C][C]0.204049196300736[/C][C]-0.204049196300736[/C][/ROW]
[ROW][C]113[/C][C]0[/C][C]0.172190914078745[/C][C]-0.172190914078745[/C][/ROW]
[ROW][C]114[/C][C]0[/C][C]0.186511598944909[/C][C]-0.186511598944909[/C][/ROW]
[ROW][C]115[/C][C]0[/C][C]0.291800809741728[/C][C]-0.291800809741728[/C][/ROW]
[ROW][C]116[/C][C]1[/C][C]0.285852130943314[/C][C]0.714147869056686[/C][/ROW]
[ROW][C]117[/C][C]1[/C][C]0.458685188291208[/C][C]0.541314811708792[/C][/ROW]
[ROW][C]118[/C][C]0[/C][C]0.116016247926042[/C][C]-0.116016247926042[/C][/ROW]
[ROW][C]119[/C][C]1[/C][C]0.477303539988556[/C][C]0.522696460011444[/C][/ROW]
[ROW][C]120[/C][C]0[/C][C]0.15474673127845[/C][C]-0.15474673127845[/C][/ROW]
[ROW][C]121[/C][C]1[/C][C]0.14421887993798[/C][C]0.85578112006202[/C][/ROW]
[ROW][C]122[/C][C]0[/C][C]0.174811054211707[/C][C]-0.174811054211707[/C][/ROW]
[ROW][C]123[/C][C]0[/C][C]0.160584915064821[/C][C]-0.160584915064821[/C][/ROW]
[ROW][C]124[/C][C]0[/C][C]0.215583305825796[/C][C]-0.215583305825796[/C][/ROW]
[ROW][C]125[/C][C]0[/C][C]0.0571476760547086[/C][C]-0.0571476760547086[/C][/ROW]
[ROW][C]126[/C][C]0[/C][C]0.0361739900634812[/C][C]-0.0361739900634812[/C][/ROW]
[ROW][C]127[/C][C]0[/C][C]0.0357805529607186[/C][C]-0.0357805529607186[/C][/ROW]
[ROW][C]128[/C][C]0[/C][C]0.0743203588967707[/C][C]-0.0743203588967707[/C][/ROW]
[ROW][C]129[/C][C]0[/C][C]0.111942475984107[/C][C]-0.111942475984107[/C][/ROW]
[ROW][C]130[/C][C]0[/C][C]0.344876624257608[/C][C]-0.344876624257608[/C][/ROW]
[ROW][C]131[/C][C]1[/C][C]0.427123687114856[/C][C]0.572876312885144[/C][/ROW]
[ROW][C]132[/C][C]0[/C][C]0.148943879064673[/C][C]-0.148943879064673[/C][/ROW]
[ROW][C]133[/C][C]0[/C][C]0.304942279051212[/C][C]-0.304942279051212[/C][/ROW]
[ROW][C]134[/C][C]0[/C][C]0.0854803436060557[/C][C]-0.0854803436060557[/C][/ROW]
[ROW][C]135[/C][C]0[/C][C]0.075454231821827[/C][C]-0.075454231821827[/C][/ROW]
[ROW][C]136[/C][C]0[/C][C]0.224337271520845[/C][C]-0.224337271520845[/C][/ROW]
[ROW][C]137[/C][C]0[/C][C]0.116807064158008[/C][C]-0.116807064158008[/C][/ROW]
[ROW][C]138[/C][C]0[/C][C]0.055350285116687[/C][C]-0.055350285116687[/C][/ROW]
[ROW][C]139[/C][C]0[/C][C]0.107769106863189[/C][C]-0.107769106863189[/C][/ROW]
[ROW][C]140[/C][C]0[/C][C]0.0779363434934677[/C][C]-0.0779363434934677[/C][/ROW]
[ROW][C]141[/C][C]0[/C][C]0.139015318351089[/C][C]-0.139015318351089[/C][/ROW]
[ROW][C]142[/C][C]0[/C][C]0.119998062469609[/C][C]-0.119998062469609[/C][/ROW]
[ROW][C]143[/C][C]0[/C][C]0.32846771816163[/C][C]-0.32846771816163[/C][/ROW]
[ROW][C]144[/C][C]0[/C][C]0.21190370572679[/C][C]-0.21190370572679[/C][/ROW]
[ROW][C]145[/C][C]0[/C][C]0.122087566642857[/C][C]-0.122087566642857[/C][/ROW]
[ROW][C]146[/C][C]1[/C][C]0.313226312992403[/C][C]0.686773687007597[/C][/ROW]
[ROW][C]147[/C][C]1[/C][C]0.18443072356629[/C][C]0.81556927643371[/C][/ROW]
[ROW][C]148[/C][C]1[/C][C]0.348520770376684[/C][C]0.651479229623316[/C][/ROW]
[ROW][C]149[/C][C]1[/C][C]0.137407531426865[/C][C]0.862592468573135[/C][/ROW]
[ROW][C]150[/C][C]0[/C][C]0.0862267543880933[/C][C]-0.0862267543880933[/C][/ROW]
[ROW][C]151[/C][C]0[/C][C]0.120193631084837[/C][C]-0.120193631084837[/C][/ROW]
[ROW][C]152[/C][C]0[/C][C]0.0961529532445383[/C][C]-0.0961529532445383[/C][/ROW]
[ROW][C]153[/C][C]0[/C][C]0.139750539666323[/C][C]-0.139750539666323[/C][/ROW]
[ROW][C]154[/C][C]0[/C][C]0.174587274992419[/C][C]-0.174587274992419[/C][/ROW]
[ROW][C]155[/C][C]0[/C][C]0.16211758877503[/C][C]-0.16211758877503[/C][/ROW]
[ROW][C]156[/C][C]0[/C][C]0.560772691336974[/C][C]-0.560772691336974[/C][/ROW]
[ROW][C]157[/C][C]0[/C][C]0.0614053843610957[/C][C]-0.0614053843610957[/C][/ROW]
[ROW][C]158[/C][C]0[/C][C]0.180487155575231[/C][C]-0.180487155575231[/C][/ROW]
[ROW][C]159[/C][C]0[/C][C]0.117472682242818[/C][C]-0.117472682242818[/C][/ROW]
[ROW][C]160[/C][C]0[/C][C]0.0705075918542298[/C][C]-0.0705075918542298[/C][/ROW]
[ROW][C]161[/C][C]0[/C][C]0.303435299988178[/C][C]-0.303435299988178[/C][/ROW]
[ROW][C]162[/C][C]0[/C][C]0.0772933402023507[/C][C]-0.0772933402023507[/C][/ROW]
[ROW][C]163[/C][C]0[/C][C]0.084787980969727[/C][C]-0.084787980969727[/C][/ROW]
[ROW][C]164[/C][C]0[/C][C]0.0977071619670399[/C][C]-0.0977071619670399[/C][/ROW]
[ROW][C]165[/C][C]0[/C][C]0.120245873065312[/C][C]-0.120245873065312[/C][/ROW]
[ROW][C]166[/C][C]0[/C][C]0.0480553856709793[/C][C]-0.0480553856709793[/C][/ROW]
[ROW][C]167[/C][C]0[/C][C]0.0512283614950743[/C][C]-0.0512283614950743[/C][/ROW]
[ROW][C]168[/C][C]0[/C][C]0.118382003806775[/C][C]-0.118382003806775[/C][/ROW]
[ROW][C]169[/C][C]0[/C][C]0.200794657680001[/C][C]-0.200794657680001[/C][/ROW]
[ROW][C]170[/C][C]0[/C][C]0.13802555502508[/C][C]-0.13802555502508[/C][/ROW]
[ROW][C]171[/C][C]0[/C][C]0.0430519148840209[/C][C]-0.0430519148840209[/C][/ROW]
[ROW][C]172[/C][C]0[/C][C]0.0438596164765186[/C][C]-0.0438596164765186[/C][/ROW]
[ROW][C]173[/C][C]1[/C][C]0.284256369606331[/C][C]0.715743630393669[/C][/ROW]
[ROW][C]174[/C][C]0[/C][C]0.0357849054152485[/C][C]-0.0357849054152485[/C][/ROW]
[ROW][C]175[/C][C]0[/C][C]0.0345263506012152[/C][C]-0.0345263506012152[/C][/ROW]
[ROW][C]176[/C][C]0[/C][C]0.0799762930643614[/C][C]-0.0799762930643614[/C][/ROW]
[ROW][C]177[/C][C]0[/C][C]0.131734077257883[/C][C]-0.131734077257883[/C][/ROW]
[ROW][C]178[/C][C]0[/C][C]0.0296738623147797[/C][C]-0.0296738623147797[/C][/ROW]
[ROW][C]179[/C][C]1[/C][C]0.18127593807879[/C][C]0.81872406192121[/C][/ROW]
[ROW][C]180[/C][C]0[/C][C]0.253705756459733[/C][C]-0.253705756459733[/C][/ROW]
[ROW][C]181[/C][C]0[/C][C]0.203195709529597[/C][C]-0.203195709529597[/C][/ROW]
[ROW][C]182[/C][C]0[/C][C]0.146239524173916[/C][C]-0.146239524173916[/C][/ROW]
[ROW][C]183[/C][C]0[/C][C]0.118141684733892[/C][C]-0.118141684733892[/C][/ROW]
[ROW][C]184[/C][C]0[/C][C]0.166935221011605[/C][C]-0.166935221011605[/C][/ROW]
[ROW][C]185[/C][C]0[/C][C]0.196394858456911[/C][C]-0.196394858456911[/C][/ROW]
[ROW][C]186[/C][C]0[/C][C]0.368482501031185[/C][C]-0.368482501031185[/C][/ROW]
[ROW][C]187[/C][C]0[/C][C]0.0727431427031035[/C][C]-0.0727431427031035[/C][/ROW]
[ROW][C]188[/C][C]0[/C][C]0.204123808822491[/C][C]-0.204123808822491[/C][/ROW]
[ROW][C]189[/C][C]0[/C][C]0.193745845779144[/C][C]-0.193745845779144[/C][/ROW]
[ROW][C]190[/C][C]1[/C][C]0.0936221925321595[/C][C]0.90637780746784[/C][/ROW]
[ROW][C]191[/C][C]0[/C][C]0.372295466522259[/C][C]-0.372295466522259[/C][/ROW]
[ROW][C]192[/C][C]0[/C][C]0.251492694969268[/C][C]-0.251492694969268[/C][/ROW]
[ROW][C]193[/C][C]0[/C][C]0.0684676239195257[/C][C]-0.0684676239195257[/C][/ROW]
[ROW][C]194[/C][C]1[/C][C]0.0679014386629808[/C][C]0.932098561337019[/C][/ROW]
[ROW][C]195[/C][C]0[/C][C]0.129922698796427[/C][C]-0.129922698796427[/C][/ROW]
[ROW][C]196[/C][C]0[/C][C]0.207960577302653[/C][C]-0.207960577302653[/C][/ROW]
[ROW][C]197[/C][C]0[/C][C]0.184278846988816[/C][C]-0.184278846988816[/C][/ROW]
[ROW][C]198[/C][C]0[/C][C]0.328531286268167[/C][C]-0.328531286268167[/C][/ROW]
[ROW][C]199[/C][C]0[/C][C]0.100120582461707[/C][C]-0.100120582461707[/C][/ROW]
[ROW][C]200[/C][C]0[/C][C]0.168419487204085[/C][C]-0.168419487204085[/C][/ROW]
[ROW][C]201[/C][C]0[/C][C]0.197881221350006[/C][C]-0.197881221350006[/C][/ROW]
[ROW][C]202[/C][C]0[/C][C]0.196324440593104[/C][C]-0.196324440593104[/C][/ROW]
[ROW][C]203[/C][C]0[/C][C]0.164986251466705[/C][C]-0.164986251466705[/C][/ROW]
[ROW][C]204[/C][C]0[/C][C]0.143385921154943[/C][C]-0.143385921154943[/C][/ROW]
[ROW][C]205[/C][C]1[/C][C]0.233552640817687[/C][C]0.766447359182313[/C][/ROW]
[ROW][C]206[/C][C]0[/C][C]0.0388914957567676[/C][C]-0.0388914957567676[/C][/ROW]
[ROW][C]207[/C][C]0[/C][C]0.0437210667668597[/C][C]-0.0437210667668597[/C][/ROW]
[ROW][C]208[/C][C]0[/C][C]0.232044719331428[/C][C]-0.232044719331428[/C][/ROW]
[ROW][C]209[/C][C]0[/C][C]0.0346052926825798[/C][C]-0.0346052926825798[/C][/ROW]
[ROW][C]210[/C][C]0[/C][C]0.0553541698383395[/C][C]-0.0553541698383395[/C][/ROW]
[ROW][C]211[/C][C]1[/C][C]0.0850505398491979[/C][C]0.914949460150802[/C][/ROW]
[ROW][C]212[/C][C]0[/C][C]0.0928965171900111[/C][C]-0.0928965171900111[/C][/ROW]
[ROW][C]213[/C][C]0[/C][C]0.1217618348391[/C][C]-0.1217618348391[/C][/ROW]
[ROW][C]214[/C][C]0[/C][C]0.240823168155962[/C][C]-0.240823168155962[/C][/ROW]
[ROW][C]215[/C][C]1[/C][C]0.122425239471873[/C][C]0.877574760528127[/C][/ROW]
[ROW][C]216[/C][C]0[/C][C]0.119542586489027[/C][C]-0.119542586489027[/C][/ROW]
[ROW][C]217[/C][C]0[/C][C]0.144025221315152[/C][C]-0.144025221315152[/C][/ROW]
[ROW][C]218[/C][C]0[/C][C]0.15771465277137[/C][C]-0.15771465277137[/C][/ROW]
[ROW][C]219[/C][C]0[/C][C]0.240633399987626[/C][C]-0.240633399987626[/C][/ROW]
[ROW][C]220[/C][C]0[/C][C]0.334816345418425[/C][C]-0.334816345418425[/C][/ROW]
[ROW][C]221[/C][C]0[/C][C]0.08014549312746[/C][C]-0.08014549312746[/C][/ROW]
[ROW][C]222[/C][C]0[/C][C]0.29703001946647[/C][C]-0.29703001946647[/C][/ROW]
[ROW][C]223[/C][C]0[/C][C]0.127664125911902[/C][C]-0.127664125911902[/C][/ROW]
[ROW][C]224[/C][C]0[/C][C]0.139222515080745[/C][C]-0.139222515080745[/C][/ROW]
[ROW][C]225[/C][C]0[/C][C]0.0981580165952749[/C][C]-0.0981580165952749[/C][/ROW]
[ROW][C]226[/C][C]0[/C][C]0.121660547941875[/C][C]-0.121660547941875[/C][/ROW]
[ROW][C]227[/C][C]0[/C][C]0.0577022904860304[/C][C]-0.0577022904860304[/C][/ROW]
[ROW][C]228[/C][C]0[/C][C]0.149530377450861[/C][C]-0.149530377450861[/C][/ROW]
[ROW][C]229[/C][C]0[/C][C]0.0828908059044698[/C][C]-0.0828908059044698[/C][/ROW]
[ROW][C]230[/C][C]0[/C][C]0.118975672233777[/C][C]-0.118975672233777[/C][/ROW]
[ROW][C]231[/C][C]0[/C][C]0.345078731273589[/C][C]-0.345078731273589[/C][/ROW]
[ROW][C]232[/C][C]0[/C][C]0.0802546486133187[/C][C]-0.0802546486133187[/C][/ROW]
[ROW][C]233[/C][C]0[/C][C]0.385764758051671[/C][C]-0.385764758051671[/C][/ROW]
[ROW][C]234[/C][C]0[/C][C]0.448795025549736[/C][C]-0.448795025549736[/C][/ROW]
[ROW][C]235[/C][C]0[/C][C]0.233489376810526[/C][C]-0.233489376810526[/C][/ROW]
[ROW][C]236[/C][C]0[/C][C]0.135254452500758[/C][C]-0.135254452500758[/C][/ROW]
[ROW][C]237[/C][C]0[/C][C]0.383713180331897[/C][C]-0.383713180331897[/C][/ROW]
[ROW][C]238[/C][C]1[/C][C]0.421400652124986[/C][C]0.578599347875014[/C][/ROW]
[ROW][C]239[/C][C]0[/C][C]0.154450776147002[/C][C]-0.154450776147002[/C][/ROW]
[ROW][C]240[/C][C]0[/C][C]0.291169803544742[/C][C]-0.291169803544742[/C][/ROW]
[ROW][C]241[/C][C]1[/C][C]0.211935681880757[/C][C]0.788064318119243[/C][/ROW]
[ROW][C]242[/C][C]0[/C][C]0.488655538697022[/C][C]-0.488655538697022[/C][/ROW]
[ROW][C]243[/C][C]0[/C][C]0.145277258473551[/C][C]-0.145277258473551[/C][/ROW]
[ROW][C]244[/C][C]0[/C][C]0.121316884626509[/C][C]-0.121316884626509[/C][/ROW]
[ROW][C]245[/C][C]0[/C][C]0.0680904608830145[/C][C]-0.0680904608830145[/C][/ROW]
[ROW][C]246[/C][C]1[/C][C]0.147893250281714[/C][C]0.852106749718286[/C][/ROW]
[ROW][C]247[/C][C]0[/C][C]0.200560401169829[/C][C]-0.200560401169829[/C][/ROW]
[ROW][C]248[/C][C]1[/C][C]0.0755683579630824[/C][C]0.924431642036918[/C][/ROW]
[ROW][C]249[/C][C]0[/C][C]0.114444919646071[/C][C]-0.114444919646071[/C][/ROW]
[ROW][C]250[/C][C]0[/C][C]0.128982836231934[/C][C]-0.128982836231934[/C][/ROW]
[ROW][C]251[/C][C]0[/C][C]0.191922040860545[/C][C]-0.191922040860545[/C][/ROW]
[ROW][C]252[/C][C]0[/C][C]0.18011788147159[/C][C]-0.18011788147159[/C][/ROW]
[ROW][C]253[/C][C]0[/C][C]0.133620021351352[/C][C]-0.133620021351352[/C][/ROW]
[ROW][C]254[/C][C]0[/C][C]0.115392779579453[/C][C]-0.115392779579453[/C][/ROW]
[ROW][C]255[/C][C]0[/C][C]0.245030786712262[/C][C]-0.245030786712262[/C][/ROW]
[ROW][C]256[/C][C]0[/C][C]0.377226945809654[/C][C]-0.377226945809654[/C][/ROW]
[ROW][C]257[/C][C]0[/C][C]0.212195758677288[/C][C]-0.212195758677288[/C][/ROW]
[ROW][C]258[/C][C]0[/C][C]0.164495547084768[/C][C]-0.164495547084768[/C][/ROW]
[ROW][C]259[/C][C]0[/C][C]0.13091408637729[/C][C]-0.13091408637729[/C][/ROW]
[ROW][C]260[/C][C]1[/C][C]0.224634107836233[/C][C]0.775365892163767[/C][/ROW]
[ROW][C]261[/C][C]0[/C][C]0.168347903723475[/C][C]-0.168347903723475[/C][/ROW]
[ROW][C]262[/C][C]0[/C][C]0.260377009314653[/C][C]-0.260377009314653[/C][/ROW]
[ROW][C]263[/C][C]0[/C][C]0.133691062161565[/C][C]-0.133691062161565[/C][/ROW]
[ROW][C]264[/C][C]0[/C][C]0.317586281626229[/C][C]-0.317586281626229[/C][/ROW]
[ROW][C]265[/C][C]0[/C][C]0.0743331960740037[/C][C]-0.0743331960740037[/C][/ROW]
[ROW][C]266[/C][C]0[/C][C]0.543498067099063[/C][C]-0.543498067099063[/C][/ROW]
[ROW][C]267[/C][C]0[/C][C]0.106333057772632[/C][C]-0.106333057772632[/C][/ROW]
[ROW][C]268[/C][C]0[/C][C]0.362284952851227[/C][C]-0.362284952851227[/C][/ROW]
[ROW][C]269[/C][C]0[/C][C]0.213305566217403[/C][C]-0.213305566217403[/C][/ROW]
[ROW][C]270[/C][C]1[/C][C]0.101832390956283[/C][C]0.898167609043717[/C][/ROW]
[ROW][C]271[/C][C]1[/C][C]0.217011244944732[/C][C]0.782988755055268[/C][/ROW]
[ROW][C]272[/C][C]0[/C][C]0.192107160312624[/C][C]-0.192107160312624[/C][/ROW]
[ROW][C]273[/C][C]1[/C][C]0.134901116796797[/C][C]0.865098883203203[/C][/ROW]
[ROW][C]274[/C][C]0[/C][C]0.151513193375922[/C][C]-0.151513193375922[/C][/ROW]
[ROW][C]275[/C][C]1[/C][C]0.176416882227259[/C][C]0.823583117772741[/C][/ROW]
[ROW][C]276[/C][C]0[/C][C]0.268636711796711[/C][C]-0.268636711796711[/C][/ROW]
[ROW][C]277[/C][C]0[/C][C]0.101544075622787[/C][C]-0.101544075622787[/C][/ROW]
[ROW][C]278[/C][C]0[/C][C]0.095334281222103[/C][C]-0.095334281222103[/C][/ROW]
[ROW][C]279[/C][C]0[/C][C]0.105741794332989[/C][C]-0.105741794332989[/C][/ROW]
[ROW][C]280[/C][C]0[/C][C]0.106802984067628[/C][C]-0.106802984067628[/C][/ROW]
[ROW][C]281[/C][C]0[/C][C]0.11958415749194[/C][C]-0.11958415749194[/C][/ROW]
[ROW][C]282[/C][C]0[/C][C]0.0971113263627547[/C][C]-0.0971113263627547[/C][/ROW]
[ROW][C]283[/C][C]0[/C][C]0.142732348821836[/C][C]-0.142732348821836[/C][/ROW]
[ROW][C]284[/C][C]0[/C][C]0.0888297945880236[/C][C]-0.0888297945880236[/C][/ROW]
[ROW][C]285[/C][C]0[/C][C]0.400230815197804[/C][C]-0.400230815197804[/C][/ROW]
[ROW][C]286[/C][C]0[/C][C]0.0717864719911779[/C][C]-0.0717864719911779[/C][/ROW]
[ROW][C]287[/C][C]0[/C][C]0.42669188418387[/C][C]-0.42669188418387[/C][/ROW]
[ROW][C]288[/C][C]0[/C][C]0.253738649461932[/C][C]-0.253738649461932[/C][/ROW]
[ROW][C]289[/C][C]0[/C][C]0.0729298529723078[/C][C]-0.0729298529723078[/C][/ROW]
[ROW][C]290[/C][C]0[/C][C]0.178174561122373[/C][C]-0.178174561122373[/C][/ROW]
[ROW][C]291[/C][C]1[/C][C]0.120430809222082[/C][C]0.879569190777918[/C][/ROW]
[ROW][C]292[/C][C]0[/C][C]0.354180589796599[/C][C]-0.354180589796599[/C][/ROW]
[ROW][C]293[/C][C]0[/C][C]0.0805860056179404[/C][C]-0.0805860056179404[/C][/ROW]
[ROW][C]294[/C][C]0[/C][C]0.373457995102837[/C][C]-0.373457995102837[/C][/ROW]
[ROW][C]295[/C][C]0[/C][C]0.69099092584435[/C][C]-0.69099092584435[/C][/ROW]
[ROW][C]296[/C][C]0[/C][C]0.220876261356085[/C][C]-0.220876261356085[/C][/ROW]
[ROW][C]297[/C][C]0[/C][C]0.624420786857008[/C][C]-0.624420786857008[/C][/ROW]
[ROW][C]298[/C][C]0[/C][C]0.545941382024361[/C][C]-0.545941382024361[/C][/ROW]
[ROW][C]299[/C][C]1[/C][C]0.234960917836655[/C][C]0.765039082163345[/C][/ROW]
[ROW][C]300[/C][C]0[/C][C]0.11878164940685[/C][C]-0.11878164940685[/C][/ROW]
[ROW][C]301[/C][C]0[/C][C]0.330087840055763[/C][C]-0.330087840055763[/C][/ROW]
[ROW][C]302[/C][C]0[/C][C]0.198403734192768[/C][C]-0.198403734192768[/C][/ROW]
[ROW][C]303[/C][C]1[/C][C]0.0578546265557859[/C][C]0.942145373444214[/C][/ROW]
[ROW][C]304[/C][C]0[/C][C]0.242364315038121[/C][C]-0.242364315038121[/C][/ROW]
[ROW][C]305[/C][C]1[/C][C]0.169502745463079[/C][C]0.830497254536921[/C][/ROW]
[ROW][C]306[/C][C]1[/C][C]0.338215076056872[/C][C]0.661784923943128[/C][/ROW]
[ROW][C]307[/C][C]0[/C][C]0.0413139099931508[/C][C]-0.0413139099931508[/C][/ROW]
[ROW][C]308[/C][C]0[/C][C]0.385905987100657[/C][C]-0.385905987100657[/C][/ROW]
[ROW][C]309[/C][C]0[/C][C]0.423315355348418[/C][C]-0.423315355348418[/C][/ROW]
[ROW][C]310[/C][C]0[/C][C]0.0921091194310058[/C][C]-0.0921091194310058[/C][/ROW]
[ROW][C]311[/C][C]0[/C][C]0.158424623166457[/C][C]-0.158424623166457[/C][/ROW]
[ROW][C]312[/C][C]1[/C][C]0.0760587465951211[/C][C]0.923941253404879[/C][/ROW]
[ROW][C]313[/C][C]1[/C][C]0.507469904185939[/C][C]0.492530095814061[/C][/ROW]
[ROW][C]314[/C][C]0[/C][C]0.139452763736799[/C][C]-0.139452763736799[/C][/ROW]
[ROW][C]315[/C][C]0[/C][C]0.137862427944662[/C][C]-0.137862427944662[/C][/ROW]
[ROW][C]316[/C][C]0[/C][C]0.204388280824111[/C][C]-0.204388280824111[/C][/ROW]
[ROW][C]317[/C][C]0[/C][C]0.117055674842718[/C][C]-0.117055674842718[/C][/ROW]
[ROW][C]318[/C][C]1[/C][C]0.274947216266537[/C][C]0.725052783733463[/C][/ROW]
[ROW][C]319[/C][C]0[/C][C]0.182454124916225[/C][C]-0.182454124916225[/C][/ROW]
[ROW][C]320[/C][C]0[/C][C]0.348833241569716[/C][C]-0.348833241569716[/C][/ROW]
[ROW][C]321[/C][C]0[/C][C]0.109046512421913[/C][C]-0.109046512421913[/C][/ROW]
[ROW][C]322[/C][C]0[/C][C]0.336732375788945[/C][C]-0.336732375788945[/C][/ROW]
[ROW][C]323[/C][C]0[/C][C]0.104296278121066[/C][C]-0.104296278121066[/C][/ROW]
[ROW][C]324[/C][C]0[/C][C]0.225024836204246[/C][C]-0.225024836204246[/C][/ROW]
[ROW][C]325[/C][C]1[/C][C]0.136953662073815[/C][C]0.863046337926185[/C][/ROW]
[ROW][C]326[/C][C]0[/C][C]0.18866609940799[/C][C]-0.18866609940799[/C][/ROW]
[ROW][C]327[/C][C]1[/C][C]0.317308699349908[/C][C]0.682691300650092[/C][/ROW]
[ROW][C]328[/C][C]0[/C][C]0.403356470024452[/C][C]-0.403356470024452[/C][/ROW]
[ROW][C]329[/C][C]0[/C][C]0.0895432781210719[/C][C]-0.0895432781210719[/C][/ROW]
[ROW][C]330[/C][C]0[/C][C]0.135014989815477[/C][C]-0.135014989815477[/C][/ROW]
[ROW][C]331[/C][C]0[/C][C]0.0797873051152606[/C][C]-0.0797873051152606[/C][/ROW]
[ROW][C]332[/C][C]0[/C][C]0.0646666452727594[/C][C]-0.0646666452727594[/C][/ROW]
[ROW][C]333[/C][C]0[/C][C]0.331355089767652[/C][C]-0.331355089767652[/C][/ROW]
[ROW][C]334[/C][C]0[/C][C]0.0744291498865784[/C][C]-0.0744291498865784[/C][/ROW]
[ROW][C]335[/C][C]0[/C][C]0.097183313195589[/C][C]-0.097183313195589[/C][/ROW]
[ROW][C]336[/C][C]1[/C][C]0.16623170771498[/C][C]0.83376829228502[/C][/ROW]
[ROW][C]337[/C][C]0[/C][C]0.402325494226462[/C][C]-0.402325494226462[/C][/ROW]
[ROW][C]338[/C][C]0[/C][C]0.135316761948711[/C][C]-0.135316761948711[/C][/ROW]
[ROW][C]339[/C][C]0[/C][C]0.0864375281577293[/C][C]-0.0864375281577293[/C][/ROW]
[ROW][C]340[/C][C]0[/C][C]0.0726748828505812[/C][C]-0.0726748828505812[/C][/ROW]
[ROW][C]341[/C][C]0[/C][C]0.153306150544929[/C][C]-0.153306150544929[/C][/ROW]
[ROW][C]342[/C][C]0[/C][C]0.0700771900900143[/C][C]-0.0700771900900143[/C][/ROW]
[ROW][C]343[/C][C]0[/C][C]0.118609748812541[/C][C]-0.118609748812541[/C][/ROW]
[ROW][C]344[/C][C]0[/C][C]0.317772005214784[/C][C]-0.317772005214784[/C][/ROW]
[ROW][C]345[/C][C]0[/C][C]0.0781958330158413[/C][C]-0.0781958330158413[/C][/ROW]
[ROW][C]346[/C][C]0[/C][C]0.0760496695885345[/C][C]-0.0760496695885345[/C][/ROW]
[ROW][C]347[/C][C]0[/C][C]0.130820190686751[/C][C]-0.130820190686751[/C][/ROW]
[ROW][C]348[/C][C]0[/C][C]0.0539227095697265[/C][C]-0.0539227095697265[/C][/ROW]
[ROW][C]349[/C][C]0[/C][C]0.128741421084799[/C][C]-0.128741421084799[/C][/ROW]
[ROW][C]350[/C][C]0[/C][C]0.105920537906155[/C][C]-0.105920537906155[/C][/ROW]
[ROW][C]351[/C][C]0[/C][C]0.10969208766145[/C][C]-0.10969208766145[/C][/ROW]
[ROW][C]352[/C][C]0[/C][C]0.150217798819485[/C][C]-0.150217798819485[/C][/ROW]
[ROW][C]353[/C][C]0[/C][C]0.419758293204957[/C][C]-0.419758293204957[/C][/ROW]
[ROW][C]354[/C][C]0[/C][C]0.0923889322868545[/C][C]-0.0923889322868545[/C][/ROW]
[ROW][C]355[/C][C]0[/C][C]0.198924837686021[/C][C]-0.198924837686021[/C][/ROW]
[ROW][C]356[/C][C]0[/C][C]0.131909965543173[/C][C]-0.131909965543173[/C][/ROW]
[ROW][C]357[/C][C]0[/C][C]0.0274101805788335[/C][C]-0.0274101805788335[/C][/ROW]
[ROW][C]358[/C][C]0[/C][C]0.0914462749284879[/C][C]-0.0914462749284879[/C][/ROW]
[ROW][C]359[/C][C]0[/C][C]0.157153619575836[/C][C]-0.157153619575836[/C][/ROW]
[ROW][C]360[/C][C]0[/C][C]0.145483371374931[/C][C]-0.145483371374931[/C][/ROW]
[ROW][C]361[/C][C]0[/C][C]0.106191349830339[/C][C]-0.106191349830339[/C][/ROW]
[ROW][C]362[/C][C]0[/C][C]0.235575301354319[/C][C]-0.235575301354319[/C][/ROW]
[ROW][C]363[/C][C]0[/C][C]0.0713303436858341[/C][C]-0.0713303436858341[/C][/ROW]
[ROW][C]364[/C][C]1[/C][C]0.105815637201195[/C][C]0.894184362798805[/C][/ROW]
[ROW][C]365[/C][C]0[/C][C]0.277650116392725[/C][C]-0.277650116392725[/C][/ROW]
[ROW][C]366[/C][C]0[/C][C]0.0961954183910454[/C][C]-0.0961954183910454[/C][/ROW]
[ROW][C]367[/C][C]0[/C][C]0.236142678261231[/C][C]-0.236142678261231[/C][/ROW]
[ROW][C]368[/C][C]0[/C][C]0.0779555859551314[/C][C]-0.0779555859551314[/C][/ROW]
[ROW][C]369[/C][C]1[/C][C]0.0467285301186145[/C][C]0.953271469881386[/C][/ROW]
[ROW][C]370[/C][C]0[/C][C]0.0849579996530368[/C][C]-0.0849579996530368[/C][/ROW]
[ROW][C]371[/C][C]0[/C][C]0.140162032883323[/C][C]-0.140162032883323[/C][/ROW]
[ROW][C]372[/C][C]0[/C][C]0.216210786376076[/C][C]-0.216210786376076[/C][/ROW]
[ROW][C]373[/C][C]0[/C][C]0.112135898549987[/C][C]-0.112135898549987[/C][/ROW]
[ROW][C]374[/C][C]0[/C][C]0.117906912029704[/C][C]-0.117906912029704[/C][/ROW]
[ROW][C]375[/C][C]0[/C][C]0.143325246558159[/C][C]-0.143325246558159[/C][/ROW]
[ROW][C]376[/C][C]1[/C][C]0.107171745534387[/C][C]0.892828254465613[/C][/ROW]
[ROW][C]377[/C][C]0[/C][C]0.107703049420077[/C][C]-0.107703049420077[/C][/ROW]
[ROW][C]378[/C][C]0[/C][C]0.210659502270267[/C][C]-0.210659502270267[/C][/ROW]
[ROW][C]379[/C][C]0[/C][C]0.161437223366005[/C][C]-0.161437223366005[/C][/ROW]
[ROW][C]380[/C][C]0[/C][C]0.202011063645034[/C][C]-0.202011063645034[/C][/ROW]
[ROW][C]381[/C][C]0[/C][C]0.0365700185156603[/C][C]-0.0365700185156603[/C][/ROW]
[ROW][C]382[/C][C]0[/C][C]0.0572405607301285[/C][C]-0.0572405607301285[/C][/ROW]
[ROW][C]383[/C][C]0[/C][C]0.080820951461715[/C][C]-0.080820951461715[/C][/ROW]
[ROW][C]384[/C][C]1[/C][C]0.0495992723829466[/C][C]0.950400727617053[/C][/ROW]
[ROW][C]385[/C][C]0[/C][C]0.173910805846539[/C][C]-0.173910805846539[/C][/ROW]
[ROW][C]386[/C][C]0[/C][C]0.308871267923839[/C][C]-0.308871267923839[/C][/ROW]
[ROW][C]387[/C][C]0[/C][C]0.12936886255391[/C][C]-0.12936886255391[/C][/ROW]
[ROW][C]388[/C][C]0[/C][C]0.192322750053556[/C][C]-0.192322750053556[/C][/ROW]
[ROW][C]389[/C][C]0[/C][C]0.310292024436909[/C][C]-0.310292024436909[/C][/ROW]
[ROW][C]390[/C][C]0[/C][C]0.269537569260323[/C][C]-0.269537569260323[/C][/ROW]
[ROW][C]391[/C][C]0[/C][C]0.152263911403361[/C][C]-0.152263911403361[/C][/ROW]
[ROW][C]392[/C][C]0[/C][C]0.222951391260745[/C][C]-0.222951391260745[/C][/ROW]
[ROW][C]393[/C][C]1[/C][C]0.32803077666414[/C][C]0.67196922333586[/C][/ROW]
[ROW][C]394[/C][C]0[/C][C]0.178814124782702[/C][C]-0.178814124782702[/C][/ROW]
[ROW][C]395[/C][C]1[/C][C]0.159703181373872[/C][C]0.840296818626128[/C][/ROW]
[ROW][C]396[/C][C]0[/C][C]0.0460223446862333[/C][C]-0.0460223446862333[/C][/ROW]
[ROW][C]397[/C][C]0[/C][C]0.452200027381947[/C][C]-0.452200027381947[/C][/ROW]
[ROW][C]398[/C][C]0[/C][C]0.359073151965273[/C][C]-0.359073151965273[/C][/ROW]
[ROW][C]399[/C][C]0[/C][C]0.160570970333111[/C][C]-0.160570970333111[/C][/ROW]
[ROW][C]400[/C][C]0[/C][C]0.131954595612281[/C][C]-0.131954595612281[/C][/ROW]
[ROW][C]401[/C][C]0[/C][C]0.0743220163934264[/C][C]-0.0743220163934264[/C][/ROW]
[ROW][C]402[/C][C]0[/C][C]0.0866220414087314[/C][C]-0.0866220414087314[/C][/ROW]
[ROW][C]403[/C][C]1[/C][C]0.0480547417976347[/C][C]0.951945258202365[/C][/ROW]
[ROW][C]404[/C][C]0[/C][C]0.151883838681631[/C][C]-0.151883838681631[/C][/ROW]
[ROW][C]405[/C][C]0[/C][C]0.171525368699331[/C][C]-0.171525368699331[/C][/ROW]
[ROW][C]406[/C][C]0[/C][C]0.11827274649138[/C][C]-0.11827274649138[/C][/ROW]
[ROW][C]407[/C][C]0[/C][C]0.201750713522135[/C][C]-0.201750713522135[/C][/ROW]
[ROW][C]408[/C][C]0[/C][C]0.180161666457081[/C][C]-0.180161666457081[/C][/ROW]
[ROW][C]409[/C][C]0[/C][C]0.221728681869978[/C][C]-0.221728681869978[/C][/ROW]
[ROW][C]410[/C][C]0[/C][C]0.202978130119701[/C][C]-0.202978130119701[/C][/ROW]
[ROW][C]411[/C][C]0[/C][C]0.271473600402432[/C][C]-0.271473600402432[/C][/ROW]
[ROW][C]412[/C][C]0[/C][C]0.390116190294998[/C][C]-0.390116190294998[/C][/ROW]
[ROW][C]413[/C][C]0[/C][C]0.16142855861607[/C][C]-0.16142855861607[/C][/ROW]
[ROW][C]414[/C][C]0[/C][C]0.0708858623490446[/C][C]-0.0708858623490446[/C][/ROW]
[ROW][C]415[/C][C]0[/C][C]0.208861709476806[/C][C]-0.208861709476806[/C][/ROW]
[ROW][C]416[/C][C]1[/C][C]0.12511324127789[/C][C]0.87488675872211[/C][/ROW]
[ROW][C]417[/C][C]0[/C][C]0.094376308686984[/C][C]-0.094376308686984[/C][/ROW]
[ROW][C]418[/C][C]1[/C][C]0.18725560532174[/C][C]0.81274439467826[/C][/ROW]
[ROW][C]419[/C][C]0[/C][C]0.25665900620557[/C][C]-0.25665900620557[/C][/ROW]
[ROW][C]420[/C][C]0[/C][C]0.284133789678238[/C][C]-0.284133789678238[/C][/ROW]
[ROW][C]421[/C][C]0[/C][C]0.218055522991643[/C][C]-0.218055522991643[/C][/ROW]
[ROW][C]422[/C][C]1[/C][C]0.305135076175745[/C][C]0.694864923824255[/C][/ROW]
[ROW][C]423[/C][C]0[/C][C]0.13453846806628[/C][C]-0.13453846806628[/C][/ROW]
[ROW][C]424[/C][C]0[/C][C]0.38313111661012[/C][C]-0.38313111661012[/C][/ROW]
[ROW][C]425[/C][C]0[/C][C]0.220318669772209[/C][C]-0.220318669772209[/C][/ROW]
[ROW][C]426[/C][C]0[/C][C]0.190479829880661[/C][C]-0.190479829880661[/C][/ROW]
[ROW][C]427[/C][C]1[/C][C]0.164978016739581[/C][C]0.835021983260419[/C][/ROW]
[ROW][C]428[/C][C]0[/C][C]0.304581333681114[/C][C]-0.304581333681114[/C][/ROW]
[ROW][C]429[/C][C]1[/C][C]0.177450357693146[/C][C]0.822549642306853[/C][/ROW]
[ROW][C]430[/C][C]1[/C][C]0.408617334275132[/C][C]0.591382665724868[/C][/ROW]
[ROW][C]431[/C][C]0[/C][C]0.386512878280634[/C][C]-0.386512878280634[/C][/ROW]
[ROW][C]432[/C][C]0[/C][C]0.154415858038058[/C][C]-0.154415858038058[/C][/ROW]
[ROW][C]433[/C][C]0[/C][C]0.130248296187811[/C][C]-0.130248296187811[/C][/ROW]
[ROW][C]434[/C][C]0[/C][C]0.207180710214232[/C][C]-0.207180710214232[/C][/ROW]
[ROW][C]435[/C][C]1[/C][C]0.280302660843648[/C][C]0.719697339156352[/C][/ROW]
[ROW][C]436[/C][C]0[/C][C]0.121451156463701[/C][C]-0.121451156463701[/C][/ROW]
[ROW][C]437[/C][C]1[/C][C]0.59047695528902[/C][C]0.40952304471098[/C][/ROW]
[ROW][C]438[/C][C]0[/C][C]0.149997995628112[/C][C]-0.149997995628112[/C][/ROW]
[ROW][C]439[/C][C]0[/C][C]0.144118216781983[/C][C]-0.144118216781983[/C][/ROW]
[ROW][C]440[/C][C]0[/C][C]0.0841660644130709[/C][C]-0.0841660644130709[/C][/ROW]
[ROW][C]441[/C][C]0[/C][C]0.102524757474334[/C][C]-0.102524757474334[/C][/ROW]
[ROW][C]442[/C][C]0[/C][C]0.160579693783227[/C][C]-0.160579693783227[/C][/ROW]
[ROW][C]443[/C][C]0[/C][C]0.0271382556087484[/C][C]-0.0271382556087484[/C][/ROW]
[ROW][C]444[/C][C]1[/C][C]0.154704461895195[/C][C]0.845295538104805[/C][/ROW]
[ROW][C]445[/C][C]0[/C][C]0.118520832893867[/C][C]-0.118520832893867[/C][/ROW]
[ROW][C]446[/C][C]0[/C][C]0.185807004755019[/C][C]-0.185807004755019[/C][/ROW]
[ROW][C]447[/C][C]0[/C][C]0.152763744447725[/C][C]-0.152763744447725[/C][/ROW]
[ROW][C]448[/C][C]1[/C][C]0.0792169039804441[/C][C]0.920783096019556[/C][/ROW]
[ROW][C]449[/C][C]0[/C][C]0.237891704290659[/C][C]-0.237891704290659[/C][/ROW]
[ROW][C]450[/C][C]0[/C][C]0.244169667588397[/C][C]-0.244169667588397[/C][/ROW]
[ROW][C]451[/C][C]0[/C][C]0.1202878494651[/C][C]-0.1202878494651[/C][/ROW]
[ROW][C]452[/C][C]0[/C][C]0.514549914848305[/C][C]-0.514549914848305[/C][/ROW]
[ROW][C]453[/C][C]0[/C][C]0.0798962416217811[/C][C]-0.0798962416217811[/C][/ROW]
[ROW][C]454[/C][C]0[/C][C]0.2680841327363[/C][C]-0.2680841327363[/C][/ROW]
[ROW][C]455[/C][C]0[/C][C]0.103732213270424[/C][C]-0.103732213270424[/C][/ROW]
[ROW][C]456[/C][C]0[/C][C]0.185274044174459[/C][C]-0.185274044174459[/C][/ROW]
[ROW][C]457[/C][C]0[/C][C]0.102599231588794[/C][C]-0.102599231588794[/C][/ROW]
[ROW][C]458[/C][C]0[/C][C]0.295351210085836[/C][C]-0.295351210085836[/C][/ROW]
[ROW][C]459[/C][C]0[/C][C]0.256733080281225[/C][C]-0.256733080281225[/C][/ROW]
[ROW][C]460[/C][C]0[/C][C]0.107869562724955[/C][C]-0.107869562724955[/C][/ROW]
[ROW][C]461[/C][C]1[/C][C]0.234704718470728[/C][C]0.765295281529272[/C][/ROW]
[ROW][C]462[/C][C]0[/C][C]0.0790626609491452[/C][C]-0.0790626609491452[/C][/ROW]
[ROW][C]463[/C][C]0[/C][C]0.138068161571537[/C][C]-0.138068161571537[/C][/ROW]
[ROW][C]464[/C][C]0[/C][C]0.186363902342361[/C][C]-0.186363902342361[/C][/ROW]
[ROW][C]465[/C][C]0[/C][C]0.535286569385421[/C][C]-0.535286569385421[/C][/ROW]
[ROW][C]466[/C][C]0[/C][C]0.0910337635285151[/C][C]-0.0910337635285151[/C][/ROW]
[ROW][C]467[/C][C]0[/C][C]0.0681181768267718[/C][C]-0.0681181768267718[/C][/ROW]
[ROW][C]468[/C][C]0[/C][C]0.0690934591055003[/C][C]-0.0690934591055003[/C][/ROW]
[ROW][C]469[/C][C]0[/C][C]0.121449093072397[/C][C]-0.121449093072397[/C][/ROW]
[ROW][C]470[/C][C]0[/C][C]0.119882584197245[/C][C]-0.119882584197245[/C][/ROW]
[ROW][C]471[/C][C]0[/C][C]0.0411970286114007[/C][C]-0.0411970286114007[/C][/ROW]
[ROW][C]472[/C][C]0[/C][C]0.091060275739003[/C][C]-0.091060275739003[/C][/ROW]
[ROW][C]473[/C][C]1[/C][C]0.35173789663247[/C][C]0.64826210336753[/C][/ROW]
[ROW][C]474[/C][C]1[/C][C]0.123943283292724[/C][C]0.876056716707276[/C][/ROW]
[ROW][C]475[/C][C]0[/C][C]0.0556974271592291[/C][C]-0.0556974271592291[/C][/ROW]
[ROW][C]476[/C][C]0[/C][C]0.123903220831032[/C][C]-0.123903220831032[/C][/ROW]
[ROW][C]477[/C][C]0[/C][C]0.559291256224401[/C][C]-0.559291256224401[/C][/ROW]
[ROW][C]478[/C][C]0[/C][C]0.352642962191873[/C][C]-0.352642962191873[/C][/ROW]
[ROW][C]479[/C][C]0[/C][C]0.219090366065312[/C][C]-0.219090366065312[/C][/ROW]
[ROW][C]480[/C][C]0[/C][C]0.267817828750068[/C][C]-0.267817828750068[/C][/ROW]
[ROW][C]481[/C][C]0[/C][C]0.12515480166956[/C][C]-0.12515480166956[/C][/ROW]
[ROW][C]482[/C][C]0[/C][C]0.158144463574435[/C][C]-0.158144463574435[/C][/ROW]
[ROW][C]483[/C][C]1[/C][C]0.301104341698503[/C][C]0.698895658301497[/C][/ROW]
[ROW][C]484[/C][C]0[/C][C]0.15623001473272[/C][C]-0.15623001473272[/C][/ROW]
[ROW][C]485[/C][C]1[/C][C]0.0643378005355382[/C][C]0.935662199464462[/C][/ROW]
[ROW][C]486[/C][C]1[/C][C]0.0571167606813641[/C][C]0.942883239318636[/C][/ROW]
[ROW][C]487[/C][C]1[/C][C]0.0821034756421079[/C][C]0.917896524357892[/C][/ROW]
[ROW][C]488[/C][C]0[/C][C]0.0782248814828813[/C][C]-0.0782248814828813[/C][/ROW]
[ROW][C]489[/C][C]0[/C][C]0.102582906381098[/C][C]-0.102582906381098[/C][/ROW]
[ROW][C]490[/C][C]0[/C][C]0.120178315729207[/C][C]-0.120178315729207[/C][/ROW]
[ROW][C]491[/C][C]0[/C][C]0.114104943420927[/C][C]-0.114104943420927[/C][/ROW]
[ROW][C]492[/C][C]0[/C][C]0.323971401280193[/C][C]-0.323971401280193[/C][/ROW]
[ROW][C]493[/C][C]0[/C][C]0.55248859386666[/C][C]-0.55248859386666[/C][/ROW]
[ROW][C]494[/C][C]0[/C][C]0.107135103511044[/C][C]-0.107135103511044[/C][/ROW]
[ROW][C]495[/C][C]0[/C][C]0.188045232198045[/C][C]-0.188045232198045[/C][/ROW]
[ROW][C]496[/C][C]1[/C][C]0.418783682576152[/C][C]0.581216317423848[/C][/ROW]
[ROW][C]497[/C][C]0[/C][C]0.0576880650940235[/C][C]-0.0576880650940235[/C][/ROW]
[ROW][C]498[/C][C]0[/C][C]0.222581015402542[/C][C]-0.222581015402542[/C][/ROW]
[ROW][C]499[/C][C]0[/C][C]0.117145719866137[/C][C]-0.117145719866137[/C][/ROW]
[ROW][C]500[/C][C]0[/C][C]0.241973879057925[/C][C]-0.241973879057925[/C][/ROW]
[ROW][C]501[/C][C]1[/C][C]0.0937564341892432[/C][C]0.906243565810757[/C][/ROW]
[ROW][C]502[/C][C]0[/C][C]0.0686357474114312[/C][C]-0.0686357474114312[/C][/ROW]
[ROW][C]503[/C][C]1[/C][C]0.113419323387836[/C][C]0.886580676612164[/C][/ROW]
[ROW][C]504[/C][C]0[/C][C]0.114230843250113[/C][C]-0.114230843250113[/C][/ROW]
[ROW][C]505[/C][C]1[/C][C]0.488195784030004[/C][C]0.511804215969996[/C][/ROW]
[ROW][C]506[/C][C]1[/C][C]0.0896083949094871[/C][C]0.910391605090513[/C][/ROW]
[ROW][C]507[/C][C]1[/C][C]0.0723649810762391[/C][C]0.927635018923761[/C][/ROW]
[ROW][C]508[/C][C]0[/C][C]0.111839808417598[/C][C]-0.111839808417598[/C][/ROW]
[ROW][C]509[/C][C]1[/C][C]0.0599201211901618[/C][C]0.940079878809838[/C][/ROW]
[ROW][C]510[/C][C]0[/C][C]0.0247643815703594[/C][C]-0.0247643815703594[/C][/ROW]
[ROW][C]511[/C][C]0[/C][C]0.0840515765347796[/C][C]-0.0840515765347796[/C][/ROW]
[ROW][C]512[/C][C]0[/C][C]0.436711029799646[/C][C]-0.436711029799646[/C][/ROW]
[ROW][C]513[/C][C]1[/C][C]0.313632824913199[/C][C]0.686367175086801[/C][/ROW]
[ROW][C]514[/C][C]0[/C][C]0.225471469228784[/C][C]-0.225471469228784[/C][/ROW]
[ROW][C]515[/C][C]1[/C][C]0.208315561705356[/C][C]0.791684438294644[/C][/ROW]
[ROW][C]516[/C][C]0[/C][C]0.0634530022696824[/C][C]-0.0634530022696824[/C][/ROW]
[ROW][C]517[/C][C]0[/C][C]0.108056374153472[/C][C]-0.108056374153472[/C][/ROW]
[ROW][C]518[/C][C]0[/C][C]0.137014432662167[/C][C]-0.137014432662167[/C][/ROW]
[ROW][C]519[/C][C]0[/C][C]0.384969136153885[/C][C]-0.384969136153885[/C][/ROW]
[ROW][C]520[/C][C]0[/C][C]0.128680141482072[/C][C]-0.128680141482072[/C][/ROW]
[ROW][C]521[/C][C]0[/C][C]0.193874154468797[/C][C]-0.193874154468797[/C][/ROW]
[ROW][C]522[/C][C]0[/C][C]0.249408414409287[/C][C]-0.249408414409287[/C][/ROW]
[ROW][C]523[/C][C]1[/C][C]0.149770011092[/C][C]0.850229988908[/C][/ROW]
[ROW][C]524[/C][C]0[/C][C]0.345254510532129[/C][C]-0.345254510532129[/C][/ROW]
[ROW][C]525[/C][C]0[/C][C]0.184448403655258[/C][C]-0.184448403655258[/C][/ROW]
[ROW][C]526[/C][C]0[/C][C]0.256948266705599[/C][C]-0.256948266705599[/C][/ROW]
[ROW][C]527[/C][C]0[/C][C]0.0930552607562121[/C][C]-0.0930552607562121[/C][/ROW]
[ROW][C]528[/C][C]0[/C][C]0.186808500446235[/C][C]-0.186808500446235[/C][/ROW]
[ROW][C]529[/C][C]0[/C][C]0.066637249143405[/C][C]-0.066637249143405[/C][/ROW]
[ROW][C]530[/C][C]0[/C][C]0.0584505894009623[/C][C]-0.0584505894009623[/C][/ROW]
[ROW][C]531[/C][C]0[/C][C]0.22754495113265[/C][C]-0.22754495113265[/C][/ROW]
[ROW][C]532[/C][C]0[/C][C]0.0682290482361766[/C][C]-0.0682290482361766[/C][/ROW]
[ROW][C]533[/C][C]0[/C][C]0.0917536464313459[/C][C]-0.0917536464313459[/C][/ROW]
[ROW][C]534[/C][C]0[/C][C]0.125919311971282[/C][C]-0.125919311971282[/C][/ROW]
[ROW][C]535[/C][C]0[/C][C]0.047751308110369[/C][C]-0.047751308110369[/C][/ROW]
[ROW][C]536[/C][C]1[/C][C]0.0620056562095894[/C][C]0.937994343790411[/C][/ROW]
[ROW][C]537[/C][C]0[/C][C]0.0370459333718617[/C][C]-0.0370459333718617[/C][/ROW]
[ROW][C]538[/C][C]0[/C][C]0.323953817228199[/C][C]-0.323953817228199[/C][/ROW]
[ROW][C]539[/C][C]0[/C][C]0.165240447953856[/C][C]-0.165240447953856[/C][/ROW]
[ROW][C]540[/C][C]0[/C][C]0.205162189852945[/C][C]-0.205162189852945[/C][/ROW]
[ROW][C]541[/C][C]0[/C][C]0.272709349595701[/C][C]-0.272709349595701[/C][/ROW]
[ROW][C]542[/C][C]0[/C][C]0.168729257624928[/C][C]-0.168729257624928[/C][/ROW]
[ROW][C]543[/C][C]1[/C][C]0.0763871013284456[/C][C]0.923612898671554[/C][/ROW]
[ROW][C]544[/C][C]0[/C][C]0.0612539398809987[/C][C]-0.0612539398809987[/C][/ROW]
[ROW][C]545[/C][C]0[/C][C]0.237013119020478[/C][C]-0.237013119020478[/C][/ROW]
[ROW][C]546[/C][C]0[/C][C]0.207065531240156[/C][C]-0.207065531240156[/C][/ROW]
[ROW][C]547[/C][C]1[/C][C]0.127853133306428[/C][C]0.872146866693572[/C][/ROW]
[ROW][C]548[/C][C]0[/C][C]0.1802842379787[/C][C]-0.1802842379787[/C][/ROW]
[ROW][C]549[/C][C]0[/C][C]0.123870069678337[/C][C]-0.123870069678337[/C][/ROW]
[ROW][C]550[/C][C]0[/C][C]0.106294827284889[/C][C]-0.106294827284889[/C][/ROW]
[ROW][C]551[/C][C]0[/C][C]0.103088326713125[/C][C]-0.103088326713125[/C][/ROW]
[ROW][C]552[/C][C]0[/C][C]0.0417161657489806[/C][C]-0.0417161657489806[/C][/ROW]
[ROW][C]553[/C][C]0[/C][C]0.200056735224077[/C][C]-0.200056735224077[/C][/ROW]
[ROW][C]554[/C][C]1[/C][C]0.0717055882576107[/C][C]0.928294411742389[/C][/ROW]
[ROW][C]555[/C][C]1[/C][C]0.167269659759635[/C][C]0.832730340240365[/C][/ROW]
[ROW][C]556[/C][C]0[/C][C]0.318126795881252[/C][C]-0.318126795881252[/C][/ROW]
[ROW][C]557[/C][C]1[/C][C]0.0722103511919115[/C][C]0.927789648808089[/C][/ROW]
[ROW][C]558[/C][C]0[/C][C]0.100249928627805[/C][C]-0.100249928627805[/C][/ROW]
[ROW][C]559[/C][C]0[/C][C]0.18377822959924[/C][C]-0.18377822959924[/C][/ROW]
[ROW][C]560[/C][C]0[/C][C]0.0826376739102017[/C][C]-0.0826376739102017[/C][/ROW]
[ROW][C]561[/C][C]0[/C][C]0.0735627240812038[/C][C]-0.0735627240812038[/C][/ROW]
[ROW][C]562[/C][C]0[/C][C]0.0769628730473384[/C][C]-0.0769628730473384[/C][/ROW]
[ROW][C]563[/C][C]0[/C][C]0.0374092801450535[/C][C]-0.0374092801450535[/C][/ROW]
[ROW][C]564[/C][C]0[/C][C]0.073867547517354[/C][C]-0.073867547517354[/C][/ROW]
[ROW][C]565[/C][C]1[/C][C]0.129323944863171[/C][C]0.870676055136829[/C][/ROW]
[ROW][C]566[/C][C]0[/C][C]0.363794095301824[/C][C]-0.363794095301824[/C][/ROW]
[ROW][C]567[/C][C]1[/C][C]0.0855331401171379[/C][C]0.914466859882862[/C][/ROW]
[ROW][C]568[/C][C]0[/C][C]0.167859680585854[/C][C]-0.167859680585854[/C][/ROW]
[ROW][C]569[/C][C]0[/C][C]0.396172860391953[/C][C]-0.396172860391953[/C][/ROW]
[ROW][C]570[/C][C]0[/C][C]0.15614463810287[/C][C]-0.15614463810287[/C][/ROW]
[ROW][C]571[/C][C]0[/C][C]0.117935189901428[/C][C]-0.117935189901428[/C][/ROW]
[ROW][C]572[/C][C]0[/C][C]0.22509344150728[/C][C]-0.22509344150728[/C][/ROW]
[ROW][C]573[/C][C]0[/C][C]0.304057930487644[/C][C]-0.304057930487644[/C][/ROW]
[ROW][C]574[/C][C]0[/C][C]0.186858057868778[/C][C]-0.186858057868778[/C][/ROW]
[ROW][C]575[/C][C]0[/C][C]0.0630643598643943[/C][C]-0.0630643598643943[/C][/ROW]
[ROW][C]576[/C][C]0[/C][C]0.255507057397899[/C][C]-0.255507057397899[/C][/ROW]
[ROW][C]577[/C][C]1[/C][C]0.0959089133681056[/C][C]0.904091086631894[/C][/ROW]
[ROW][C]578[/C][C]1[/C][C]0.118537788347292[/C][C]0.881462211652708[/C][/ROW]
[ROW][C]579[/C][C]0[/C][C]0.201958356109897[/C][C]-0.201958356109897[/C][/ROW]
[ROW][C]580[/C][C]0[/C][C]0.150991640836153[/C][C]-0.150991640836153[/C][/ROW]
[ROW][C]581[/C][C]0[/C][C]0.0228152289788275[/C][C]-0.0228152289788275[/C][/ROW]
[ROW][C]582[/C][C]1[/C][C]0.0701793879662108[/C][C]0.929820612033789[/C][/ROW]
[ROW][C]583[/C][C]0[/C][C]0.374049683197071[/C][C]-0.374049683197071[/C][/ROW]
[ROW][C]584[/C][C]0[/C][C]0.129419576892635[/C][C]-0.129419576892635[/C][/ROW]
[ROW][C]585[/C][C]0[/C][C]0.153575136080827[/C][C]-0.153575136080827[/C][/ROW]
[ROW][C]586[/C][C]0[/C][C]0.366328027191434[/C][C]-0.366328027191434[/C][/ROW]
[ROW][C]587[/C][C]0[/C][C]0.0848066370444855[/C][C]-0.0848066370444855[/C][/ROW]
[ROW][C]588[/C][C]1[/C][C]0.120500381870157[/C][C]0.879499618129843[/C][/ROW]
[ROW][C]589[/C][C]0[/C][C]0.48771737052034[/C][C]-0.48771737052034[/C][/ROW]
[ROW][C]590[/C][C]0[/C][C]0.227337621359388[/C][C]-0.227337621359388[/C][/ROW]
[ROW][C]591[/C][C]0[/C][C]0.112883859612843[/C][C]-0.112883859612843[/C][/ROW]
[ROW][C]592[/C][C]1[/C][C]0.123055621661585[/C][C]0.876944378338415[/C][/ROW]
[ROW][C]593[/C][C]0[/C][C]0.0857479018407935[/C][C]-0.0857479018407935[/C][/ROW]
[ROW][C]594[/C][C]0[/C][C]0.0834725129850356[/C][C]-0.0834725129850356[/C][/ROW]
[ROW][C]595[/C][C]0[/C][C]0.127645824280043[/C][C]-0.127645824280043[/C][/ROW]
[ROW][C]596[/C][C]0[/C][C]0.230678351460187[/C][C]-0.230678351460187[/C][/ROW]
[ROW][C]597[/C][C]0[/C][C]0.203753135275934[/C][C]-0.203753135275934[/C][/ROW]
[ROW][C]598[/C][C]0[/C][C]0.074117399612436[/C][C]-0.074117399612436[/C][/ROW]
[ROW][C]599[/C][C]0[/C][C]0.0783820625146097[/C][C]-0.0783820625146097[/C][/ROW]
[ROW][C]600[/C][C]0[/C][C]0.197849544382698[/C][C]-0.197849544382698[/C][/ROW]
[ROW][C]601[/C][C]0[/C][C]0.124358934548805[/C][C]-0.124358934548805[/C][/ROW]
[ROW][C]602[/C][C]0[/C][C]0.0927277792707363[/C][C]-0.0927277792707363[/C][/ROW]
[ROW][C]603[/C][C]0[/C][C]0.157950897943191[/C][C]-0.157950897943191[/C][/ROW]
[ROW][C]604[/C][C]0[/C][C]0.173923213315125[/C][C]-0.173923213315125[/C][/ROW]
[ROW][C]605[/C][C]1[/C][C]0.0741155876051636[/C][C]0.925884412394836[/C][/ROW]
[ROW][C]606[/C][C]0[/C][C]0.113511429208509[/C][C]-0.113511429208509[/C][/ROW]
[ROW][C]607[/C][C]0[/C][C]0.107727199578144[/C][C]-0.107727199578144[/C][/ROW]
[ROW][C]608[/C][C]0[/C][C]0.0681033772635659[/C][C]-0.0681033772635659[/C][/ROW]
[ROW][C]609[/C][C]1[/C][C]0.0872463934363819[/C][C]0.912753606563618[/C][/ROW]
[ROW][C]610[/C][C]0[/C][C]0.0941475889462911[/C][C]-0.0941475889462911[/C][/ROW]
[ROW][C]611[/C][C]0[/C][C]0.209647592896247[/C][C]-0.209647592896247[/C][/ROW]
[ROW][C]612[/C][C]0[/C][C]0.149370633156555[/C][C]-0.149370633156555[/C][/ROW]
[ROW][C]613[/C][C]0[/C][C]0.134040374454978[/C][C]-0.134040374454978[/C][/ROW]
[ROW][C]614[/C][C]0[/C][C]0.522400745656401[/C][C]-0.522400745656401[/C][/ROW]
[ROW][C]615[/C][C]0[/C][C]0.195425869059275[/C][C]-0.195425869059275[/C][/ROW]
[ROW][C]616[/C][C]0[/C][C]0.183333208237886[/C][C]-0.183333208237886[/C][/ROW]
[ROW][C]617[/C][C]0[/C][C]0.572541853014753[/C][C]-0.572541853014753[/C][/ROW]
[ROW][C]618[/C][C]0[/C][C]0.135562594312487[/C][C]-0.135562594312487[/C][/ROW]
[ROW][C]619[/C][C]1[/C][C]0.248906171653412[/C][C]0.751093828346588[/C][/ROW]
[ROW][C]620[/C][C]0[/C][C]0.171939806879156[/C][C]-0.171939806879156[/C][/ROW]
[ROW][C]621[/C][C]0[/C][C]0.158043723577801[/C][C]-0.158043723577801[/C][/ROW]
[ROW][C]622[/C][C]0[/C][C]0.0491145306051511[/C][C]-0.0491145306051511[/C][/ROW]
[ROW][C]623[/C][C]0[/C][C]0.175268981131328[/C][C]-0.175268981131328[/C][/ROW]
[ROW][C]624[/C][C]0[/C][C]0.192456719826213[/C][C]-0.192456719826213[/C][/ROW]
[ROW][C]625[/C][C]0[/C][C]0.47859548499925[/C][C]-0.47859548499925[/C][/ROW]
[ROW][C]626[/C][C]1[/C][C]0.0861176065636535[/C][C]0.913882393436346[/C][/ROW]
[ROW][C]627[/C][C]0[/C][C]0.199949897674209[/C][C]-0.199949897674209[/C][/ROW]
[ROW][C]628[/C][C]0[/C][C]0.0497265762317603[/C][C]-0.0497265762317603[/C][/ROW]
[ROW][C]629[/C][C]0[/C][C]0.11765506800137[/C][C]-0.11765506800137[/C][/ROW]
[ROW][C]630[/C][C]0[/C][C]0.236847632612928[/C][C]-0.236847632612928[/C][/ROW]
[ROW][C]631[/C][C]0[/C][C]0.153498588321297[/C][C]-0.153498588321297[/C][/ROW]
[ROW][C]632[/C][C]0[/C][C]0.243756018765965[/C][C]-0.243756018765965[/C][/ROW]
[ROW][C]633[/C][C]0[/C][C]0.290352316182752[/C][C]-0.290352316182752[/C][/ROW]
[ROW][C]634[/C][C]0[/C][C]0.181615558094131[/C][C]-0.181615558094131[/C][/ROW]
[ROW][C]635[/C][C]0[/C][C]0.425600016497731[/C][C]-0.425600016497731[/C][/ROW]
[ROW][C]636[/C][C]0[/C][C]0.201044259291789[/C][C]-0.201044259291789[/C][/ROW]
[ROW][C]637[/C][C]0[/C][C]0.0838314825204974[/C][C]-0.0838314825204974[/C][/ROW]
[ROW][C]638[/C][C]0[/C][C]0.0929428236159057[/C][C]-0.0929428236159057[/C][/ROW]
[ROW][C]639[/C][C]0[/C][C]0.101302193041329[/C][C]-0.101302193041329[/C][/ROW]
[ROW][C]640[/C][C]0[/C][C]0.0666964496513996[/C][C]-0.0666964496513996[/C][/ROW]
[ROW][C]641[/C][C]0[/C][C]0.159969625595425[/C][C]-0.159969625595425[/C][/ROW]
[ROW][C]642[/C][C]0[/C][C]0.101801522280184[/C][C]-0.101801522280184[/C][/ROW]
[ROW][C]643[/C][C]0[/C][C]0.19183040982812[/C][C]-0.19183040982812[/C][/ROW]
[ROW][C]644[/C][C]1[/C][C]0.0485790032732039[/C][C]0.951420996726796[/C][/ROW]
[ROW][C]645[/C][C]1[/C][C]0.107297818478967[/C][C]0.892702181521033[/C][/ROW]
[ROW][C]646[/C][C]0[/C][C]0.0996508970900055[/C][C]-0.0996508970900055[/C][/ROW]
[ROW][C]647[/C][C]0[/C][C]0.0688024369295162[/C][C]-0.0688024369295162[/C][/ROW]
[ROW][C]648[/C][C]0[/C][C]0.155318175909021[/C][C]-0.155318175909021[/C][/ROW]
[ROW][C]649[/C][C]0[/C][C]0.206146325039014[/C][C]-0.206146325039014[/C][/ROW]
[ROW][C]650[/C][C]1[/C][C]0.133697905758695[/C][C]0.866302094241305[/C][/ROW]
[ROW][C]651[/C][C]1[/C][C]0.102942962181552[/C][C]0.897057037818448[/C][/ROW]
[ROW][C]652[/C][C]0[/C][C]0.0428295593259498[/C][C]-0.0428295593259498[/C][/ROW]
[ROW][C]653[/C][C]0[/C][C]0.432715457951382[/C][C]-0.432715457951382[/C][/ROW]
[ROW][C]654[/C][C]1[/C][C]0.280114973249387[/C][C]0.719885026750613[/C][/ROW]
[ROW][C]655[/C][C]0[/C][C]0.054595794348837[/C][C]-0.054595794348837[/C][/ROW]
[ROW][C]656[/C][C]1[/C][C]0.0473249676685166[/C][C]0.952675032331483[/C][/ROW]
[ROW][C]657[/C][C]0[/C][C]0.137038920401829[/C][C]-0.137038920401829[/C][/ROW]
[ROW][C]658[/C][C]1[/C][C]0.109996377741395[/C][C]0.890003622258605[/C][/ROW]
[ROW][C]659[/C][C]0[/C][C]0.213180855388013[/C][C]-0.213180855388013[/C][/ROW]
[ROW][C]660[/C][C]0[/C][C]0.0831088312588842[/C][C]-0.0831088312588842[/C][/ROW]
[ROW][C]661[/C][C]0[/C][C]0.155309350701697[/C][C]-0.155309350701697[/C][/ROW]
[ROW][C]662[/C][C]0[/C][C]0.200918550562616[/C][C]-0.200918550562616[/C][/ROW]
[ROW][C]663[/C][C]0[/C][C]0.44672882754838[/C][C]-0.44672882754838[/C][/ROW]
[ROW][C]664[/C][C]0[/C][C]0.0518259304619544[/C][C]-0.0518259304619544[/C][/ROW]
[ROW][C]665[/C][C]0[/C][C]0.100865186947811[/C][C]-0.100865186947811[/C][/ROW]
[ROW][C]666[/C][C]0[/C][C]0.15986830704115[/C][C]-0.15986830704115[/C][/ROW]
[ROW][C]667[/C][C]1[/C][C]0.298209398245771[/C][C]0.701790601754229[/C][/ROW]
[ROW][C]668[/C][C]0[/C][C]0.185546469377154[/C][C]-0.185546469377154[/C][/ROW]
[ROW][C]669[/C][C]0[/C][C]0.0477249468844547[/C][C]-0.0477249468844547[/C][/ROW]
[ROW][C]670[/C][C]0[/C][C]0.152941386474154[/C][C]-0.152941386474154[/C][/ROW]
[ROW][C]671[/C][C]0[/C][C]0.106042583193424[/C][C]-0.106042583193424[/C][/ROW]
[ROW][C]672[/C][C]0[/C][C]0.111052040775763[/C][C]-0.111052040775763[/C][/ROW]
[ROW][C]673[/C][C]0[/C][C]0.0865567627010877[/C][C]-0.0865567627010877[/C][/ROW]
[ROW][C]674[/C][C]0[/C][C]0.0757079859443923[/C][C]-0.0757079859443923[/C][/ROW]
[ROW][C]675[/C][C]0[/C][C]0.0899951452655779[/C][C]-0.0899951452655779[/C][/ROW]
[ROW][C]676[/C][C]1[/C][C]0.0671873826218782[/C][C]0.932812617378122[/C][/ROW]
[ROW][C]677[/C][C]0[/C][C]0.122508322879091[/C][C]-0.122508322879091[/C][/ROW]
[ROW][C]678[/C][C]1[/C][C]0.452172044048971[/C][C]0.547827955951029[/C][/ROW]
[ROW][C]679[/C][C]0[/C][C]0.115973003119144[/C][C]-0.115973003119144[/C][/ROW]
[ROW][C]680[/C][C]0[/C][C]0.486937048170693[/C][C]-0.486937048170693[/C][/ROW]
[ROW][C]681[/C][C]0[/C][C]0.307187995826204[/C][C]-0.307187995826204[/C][/ROW]
[ROW][C]682[/C][C]0[/C][C]0.10037261111235[/C][C]-0.10037261111235[/C][/ROW]
[ROW][C]683[/C][C]0[/C][C]0.351999338586189[/C][C]-0.351999338586189[/C][/ROW]
[ROW][C]684[/C][C]0[/C][C]0.278336235784855[/C][C]-0.278336235784855[/C][/ROW]
[ROW][C]685[/C][C]0[/C][C]0.140325020960502[/C][C]-0.140325020960502[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=319667&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=319667&T=3

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Fit of Logistic Regression
Index	Actual	Fitted	Error
1	0	0.194569681466274	-0.194569681466274
2	1	0.160352372281538	0.839647627718462
3	0	0.105922699744206	-0.105922699744206
4	0	0.0387878852011959	-0.0387878852011959
5	0	0.0561567281154842	-0.0561567281154842
6	0	0.0934044305340295	-0.0934044305340295
7	1	0.168692867016848	0.831307132983152
8	0	0.145372021717225	-0.145372021717225
9	1	0.304137130001973	0.695862869998027
10	0	0.105417931884553	-0.105417931884553
11	0	0.162279239062807	-0.162279239062807
12	0	0.215182305368325	-0.215182305368325
13	0	0.242166343499873	-0.242166343499873
14	0	0.126160693189163	-0.126160693189163
15	1	0.649596814035027	0.350403185964973
16	0	0.0363590922136453	-0.0363590922136453
17	0	0.155206379403592	-0.155206379403592
18	0	0.0914259747350681	-0.0914259747350681
19	0	0.0839070597453703	-0.0839070597453703
20	0	0.235757774159712	-0.235757774159712
21	0	0.111622201573944	-0.111622201573944
22	1	0.0737048816851971	0.926295118314803
23	1	0.0785610798635087	0.921438920136491
24	0	0.143971697762037	-0.143971697762037
25	1	0.2047141251396	0.7952858748604
26	0	0.118885111217902	-0.118885111217902
27	0	0.164147145825054	-0.164147145825054
28	0	0.121169289554893	-0.121169289554893
29	0	0.18906455214793	-0.18906455214793
30	0	0.115552647798908	-0.115552647798908
31	0	0.270279963053275	-0.270279963053275
32	1	0.37051441517861	0.62948558482139
33	0	0.180926315295435	-0.180926315295435
34	0	0.0758027073668907	-0.0758027073668907
35	0	0.145570360932371	-0.145570360932371
36	0	0.142918774109546	-0.142918774109546
37	0	0.275865697495103	-0.275865697495103
38	0	0.0317407007396715	-0.0317407007396715
39	0	0.452455347505054	-0.452455347505054
40	0	0.0416361398043716	-0.0416361398043716
41	0	0.105233183184059	-0.105233183184059
42	0	0.0488052934327756	-0.0488052934327756
43	0	0.15584357558068	-0.15584357558068
44	0	0.20400639981837	-0.20400639981837
45	0	0.117407256789081	-0.117407256789081
46	0	0.116593327532638	-0.116593327532638
47	1	0.132948800785106	0.867051199214894
48	0	0.0677752029580878	-0.0677752029580878
49	0	0.1396342185537	-0.1396342185537
50	0	0.283055871780002	-0.283055871780002
51	0	0.0681046668423899	-0.0681046668423899
52	0	0.0650639722646425	-0.0650639722646425
53	1	0.179769967195066	0.820230032804934
54	0	0.264633328398834	-0.264633328398834
55	0	0.136422478993677	-0.136422478993677
56	0	0.21927372170291	-0.21927372170291
57	0	0.187407093949397	-0.187407093949397
58	0	0.0940892200205214	-0.0940892200205214
59	0	0.15392398906523	-0.15392398906523
60	0	0.168384530560094	-0.168384530560094
61	0	0.182257811035524	-0.182257811035524
62	0	0.18029467598133	-0.18029467598133
63	0	0.055175088504024	-0.055175088504024
64	0	0.229814992418647	-0.229814992418647
65	1	0.259856920676566	0.740143079323434
66	0	0.102275523006696	-0.102275523006696
67	0	0.146731899205542	-0.146731899205542
68	0	0.112493381826542	-0.112493381826542
69	0	0.0701835568411365	-0.0701835568411365
70	0	0.350248924691832	-0.350248924691832
71	0	0.129122277610985	-0.129122277610985
72	0	0.250698162143281	-0.250698162143281
73	1	0.256081144795617	0.743918855204383
74	0	0.466234789147359	-0.466234789147359
75	0	0.240898441932374	-0.240898441932374
76	0	0.150279085986161	-0.150279085986161
77	0	0.0992838436090779	-0.0992838436090779
78	0	0.383394941444694	-0.383394941444694
79	0	0.202752151880783	-0.202752151880783
80	0	0.27840483636697	-0.27840483636697
81	0	0.221759308583486	-0.221759308583486
82	0	0.140981523125559	-0.140981523125559
83	0	0.153139373015421	-0.153139373015421
84	0	0.0461229468996257	-0.0461229468996257
85	0	0.175286293109965	-0.175286293109965
86	0	0.0649505425263936	-0.0649505425263936
87	0	0.348652717925397	-0.348652717925397
88	0	0.202101831304726	-0.202101831304726
89	0	0.0787866521043498	-0.0787866521043498
90	1	0.239770977894516	0.760229022105484
91	0	0.160915112234379	-0.160915112234379
92	0	0.182408445787487	-0.182408445787487
93	0	0.212103040376006	-0.212103040376006
94	0	0.0598346751998189	-0.0598346751998189
95	0	0.0968918866045784	-0.0968918866045784
96	0	0.0915707418683808	-0.0915707418683808
97	0	0.0401272969307685	-0.0401272969307685
98	0	0.0230903674101253	-0.0230903674101253
99	1	0.10250487609118	0.89749512390882
100	1	0.0584679074301711	0.941532092569829
101	0	0.0888980438625074	-0.0888980438625074
102	0	0.0848549051523585	-0.0848549051523585
103	0	0.110965615933151	-0.110965615933151
104	0	0.100772837104695	-0.100772837104695
105	0	0.0994633627435318	-0.0994633627435318
106	0	0.0667236776620417	-0.0667236776620417
107	0	0.151858942576511	-0.151858942576511
108	0	0.0709151610355297	-0.0709151610355297
109	0	0.0925591121348408	-0.0925591121348408
110	0	0.0887737054150732	-0.0887737054150732
111	0	0.233858251578482	-0.233858251578482
112	0	0.204049196300736	-0.204049196300736
113	0	0.172190914078745	-0.172190914078745
114	0	0.186511598944909	-0.186511598944909
115	0	0.291800809741728	-0.291800809741728
116	1	0.285852130943314	0.714147869056686
117	1	0.458685188291208	0.541314811708792
118	0	0.116016247926042	-0.116016247926042
119	1	0.477303539988556	0.522696460011444
120	0	0.15474673127845	-0.15474673127845
121	1	0.14421887993798	0.85578112006202
122	0	0.174811054211707	-0.174811054211707
123	0	0.160584915064821	-0.160584915064821
124	0	0.215583305825796	-0.215583305825796
125	0	0.0571476760547086	-0.0571476760547086
126	0	0.0361739900634812	-0.0361739900634812
127	0	0.0357805529607186	-0.0357805529607186
128	0	0.0743203588967707	-0.0743203588967707
129	0	0.111942475984107	-0.111942475984107
130	0	0.344876624257608	-0.344876624257608
131	1	0.427123687114856	0.572876312885144
132	0	0.148943879064673	-0.148943879064673
133	0	0.304942279051212	-0.304942279051212
134	0	0.0854803436060557	-0.0854803436060557
135	0	0.075454231821827	-0.075454231821827
136	0	0.224337271520845	-0.224337271520845
137	0	0.116807064158008	-0.116807064158008
138	0	0.055350285116687	-0.055350285116687
139	0	0.107769106863189	-0.107769106863189
140	0	0.0779363434934677	-0.0779363434934677
141	0	0.139015318351089	-0.139015318351089
142	0	0.119998062469609	-0.119998062469609
143	0	0.32846771816163	-0.32846771816163
144	0	0.21190370572679	-0.21190370572679
145	0	0.122087566642857	-0.122087566642857
146	1	0.313226312992403	0.686773687007597
147	1	0.18443072356629	0.81556927643371
148	1	0.348520770376684	0.651479229623316
149	1	0.137407531426865	0.862592468573135
150	0	0.0862267543880933	-0.0862267543880933
151	0	0.120193631084837	-0.120193631084837
152	0	0.0961529532445383	-0.0961529532445383
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485	1	0.0643378005355382	0.935662199464462
486	1	0.0571167606813641	0.942883239318636
487	1	0.0821034756421079	0.917896524357892
488	0	0.0782248814828813	-0.0782248814828813
489	0	0.102582906381098	-0.102582906381098
490	0	0.120178315729207	-0.120178315729207
491	0	0.114104943420927	-0.114104943420927
492	0	0.323971401280193	-0.323971401280193
493	0	0.55248859386666	-0.55248859386666
494	0	0.107135103511044	-0.107135103511044
495	0	0.188045232198045	-0.188045232198045
496	1	0.418783682576152	0.581216317423848
497	0	0.0576880650940235	-0.0576880650940235
498	0	0.222581015402542	-0.222581015402542
499	0	0.117145719866137	-0.117145719866137
500	0	0.241973879057925	-0.241973879057925
501	1	0.0937564341892432	0.906243565810757
502	0	0.0686357474114312	-0.0686357474114312
503	1	0.113419323387836	0.886580676612164
504	0	0.114230843250113	-0.114230843250113
505	1	0.488195784030004	0.511804215969996
506	1	0.0896083949094871	0.910391605090513
507	1	0.0723649810762391	0.927635018923761
508	0	0.111839808417598	-0.111839808417598
509	1	0.0599201211901618	0.940079878809838
510	0	0.0247643815703594	-0.0247643815703594
511	0	0.0840515765347796	-0.0840515765347796
512	0	0.436711029799646	-0.436711029799646
513	1	0.313632824913199	0.686367175086801
514	0	0.225471469228784	-0.225471469228784
515	1	0.208315561705356	0.791684438294644
516	0	0.0634530022696824	-0.0634530022696824
517	0	0.108056374153472	-0.108056374153472
518	0	0.137014432662167	-0.137014432662167
519	0	0.384969136153885	-0.384969136153885
520	0	0.128680141482072	-0.128680141482072
521	0	0.193874154468797	-0.193874154468797
522	0	0.249408414409287	-0.249408414409287
523	1	0.149770011092	0.850229988908
524	0	0.345254510532129	-0.345254510532129
525	0	0.184448403655258	-0.184448403655258
526	0	0.256948266705599	-0.256948266705599
527	0	0.0930552607562121	-0.0930552607562121
528	0	0.186808500446235	-0.186808500446235
529	0	0.066637249143405	-0.066637249143405
530	0	0.0584505894009623	-0.0584505894009623
531	0	0.22754495113265	-0.22754495113265
532	0	0.0682290482361766	-0.0682290482361766
533	0	0.0917536464313459	-0.0917536464313459
534	0	0.125919311971282	-0.125919311971282
535	0	0.047751308110369	-0.047751308110369
536	1	0.0620056562095894	0.937994343790411
537	0	0.0370459333718617	-0.0370459333718617
538	0	0.323953817228199	-0.323953817228199
539	0	0.165240447953856	-0.165240447953856
540	0	0.205162189852945	-0.205162189852945
541	0	0.272709349595701	-0.272709349595701
542	0	0.168729257624928	-0.168729257624928
543	1	0.0763871013284456	0.923612898671554
544	0	0.0612539398809987	-0.0612539398809987
545	0	0.237013119020478	-0.237013119020478
546	0	0.207065531240156	-0.207065531240156
547	1	0.127853133306428	0.872146866693572
548	0	0.1802842379787	-0.1802842379787
549	0	0.123870069678337	-0.123870069678337
550	0	0.106294827284889	-0.106294827284889
551	0	0.103088326713125	-0.103088326713125
552	0	0.0417161657489806	-0.0417161657489806
553	0	0.200056735224077	-0.200056735224077
554	1	0.0717055882576107	0.928294411742389
555	1	0.167269659759635	0.832730340240365
556	0	0.318126795881252	-0.318126795881252
557	1	0.0722103511919115	0.927789648808089
558	0	0.100249928627805	-0.100249928627805
559	0	0.18377822959924	-0.18377822959924
560	0	0.0826376739102017	-0.0826376739102017
561	0	0.0735627240812038	-0.0735627240812038
562	0	0.0769628730473384	-0.0769628730473384
563	0	0.0374092801450535	-0.0374092801450535
564	0	0.073867547517354	-0.073867547517354
565	1	0.129323944863171	0.870676055136829
566	0	0.363794095301824	-0.363794095301824
567	1	0.0855331401171379	0.914466859882862
568	0	0.167859680585854	-0.167859680585854
569	0	0.396172860391953	-0.396172860391953
570	0	0.15614463810287	-0.15614463810287
571	0	0.117935189901428	-0.117935189901428
572	0	0.22509344150728	-0.22509344150728
573	0	0.304057930487644	-0.304057930487644
574	0	0.186858057868778	-0.186858057868778
575	0	0.0630643598643943	-0.0630643598643943
576	0	0.255507057397899	-0.255507057397899
577	1	0.0959089133681056	0.904091086631894
578	1	0.118537788347292	0.881462211652708
579	0	0.201958356109897	-0.201958356109897
580	0	0.150991640836153	-0.150991640836153
581	0	0.0228152289788275	-0.0228152289788275
582	1	0.0701793879662108	0.929820612033789
583	0	0.374049683197071	-0.374049683197071
584	0	0.129419576892635	-0.129419576892635
585	0	0.153575136080827	-0.153575136080827
586	0	0.366328027191434	-0.366328027191434
587	0	0.0848066370444855	-0.0848066370444855
588	1	0.120500381870157	0.879499618129843
589	0	0.48771737052034	-0.48771737052034
590	0	0.227337621359388	-0.227337621359388
591	0	0.112883859612843	-0.112883859612843
592	1	0.123055621661585	0.876944378338415
593	0	0.0857479018407935	-0.0857479018407935
594	0	0.0834725129850356	-0.0834725129850356
595	0	0.127645824280043	-0.127645824280043
596	0	0.230678351460187	-0.230678351460187
597	0	0.203753135275934	-0.203753135275934
598	0	0.074117399612436	-0.074117399612436
599	0	0.0783820625146097	-0.0783820625146097
600	0	0.197849544382698	-0.197849544382698
601	0	0.124358934548805	-0.124358934548805
602	0	0.0927277792707363	-0.0927277792707363
603	0	0.157950897943191	-0.157950897943191
604	0	0.173923213315125	-0.173923213315125
605	1	0.0741155876051636	0.925884412394836
606	0	0.113511429208509	-0.113511429208509
607	0	0.107727199578144	-0.107727199578144
608	0	0.0681033772635659	-0.0681033772635659
609	1	0.0872463934363819	0.912753606563618
610	0	0.0941475889462911	-0.0941475889462911
611	0	0.209647592896247	-0.209647592896247
612	0	0.149370633156555	-0.149370633156555
613	0	0.134040374454978	-0.134040374454978
614	0	0.522400745656401	-0.522400745656401
615	0	0.195425869059275	-0.195425869059275
616	0	0.183333208237886	-0.183333208237886
617	0	0.572541853014753	-0.572541853014753
618	0	0.135562594312487	-0.135562594312487
619	1	0.248906171653412	0.751093828346588
620	0	0.171939806879156	-0.171939806879156
621	0	0.158043723577801	-0.158043723577801
622	0	0.0491145306051511	-0.0491145306051511
623	0	0.175268981131328	-0.175268981131328
624	0	0.192456719826213	-0.192456719826213
625	0	0.47859548499925	-0.47859548499925
626	1	0.0861176065636535	0.913882393436346
627	0	0.199949897674209	-0.199949897674209
628	0	0.0497265762317603	-0.0497265762317603
629	0	0.11765506800137	-0.11765506800137
630	0	0.236847632612928	-0.236847632612928
631	0	0.153498588321297	-0.153498588321297
632	0	0.243756018765965	-0.243756018765965
633	0	0.290352316182752	-0.290352316182752
634	0	0.181615558094131	-0.181615558094131
635	0	0.425600016497731	-0.425600016497731
636	0	0.201044259291789	-0.201044259291789
637	0	0.0838314825204974	-0.0838314825204974
638	0	0.0929428236159057	-0.0929428236159057
639	0	0.101302193041329	-0.101302193041329
640	0	0.0666964496513996	-0.0666964496513996
641	0	0.159969625595425	-0.159969625595425
642	0	0.101801522280184	-0.101801522280184
643	0	0.19183040982812	-0.19183040982812
644	1	0.0485790032732039	0.951420996726796
645	1	0.107297818478967	0.892702181521033
646	0	0.0996508970900055	-0.0996508970900055
647	0	0.0688024369295162	-0.0688024369295162
648	0	0.155318175909021	-0.155318175909021
649	0	0.206146325039014	-0.206146325039014
650	1	0.133697905758695	0.866302094241305
651	1	0.102942962181552	0.897057037818448
652	0	0.0428295593259498	-0.0428295593259498
653	0	0.432715457951382	-0.432715457951382
654	1	0.280114973249387	0.719885026750613
655	0	0.054595794348837	-0.054595794348837
656	1	0.0473249676685166	0.952675032331483
657	0	0.137038920401829	-0.137038920401829
658	1	0.109996377741395	0.890003622258605
659	0	0.213180855388013	-0.213180855388013
660	0	0.0831088312588842	-0.0831088312588842
661	0	0.155309350701697	-0.155309350701697
662	0	0.200918550562616	-0.200918550562616
663	0	0.44672882754838	-0.44672882754838
664	0	0.0518259304619544	-0.0518259304619544
665	0	0.100865186947811	-0.100865186947811
666	0	0.15986830704115	-0.15986830704115
667	1	0.298209398245771	0.701790601754229
668	0	0.185546469377154	-0.185546469377154
669	0	0.0477249468844547	-0.0477249468844547
670	0	0.152941386474154	-0.152941386474154
671	0	0.106042583193424	-0.106042583193424
672	0	0.111052040775763	-0.111052040775763
673	0	0.0865567627010877	-0.0865567627010877
674	0	0.0757079859443923	-0.0757079859443923
675	0	0.0899951452655779	-0.0899951452655779
676	1	0.0671873826218782	0.932812617378122
677	0	0.122508322879091	-0.122508322879091
678	1	0.452172044048971	0.547827955951029
679	0	0.115973003119144	-0.115973003119144
680	0	0.486937048170693	-0.486937048170693
681	0	0.307187995826204	-0.307187995826204
682	0	0.10037261111235	-0.10037261111235
683	0	0.351999338586189	-0.351999338586189
684	0	0.278336235784855	-0.278336235784855
685	0	0.140325020960502	-0.140325020960502

Type I & II errors for various threshold values
Threshold	Type I	Type II
0.01	0	1
0.02	0	1
0.03	0	0.989528795811518
0.04	0	0.968586387434555
0.05	0.0446428571428571	0.93891797556719
0.06	0.0803571428571429	0.912739965095986
0.07	0.116071428571429	0.87783595113438
0.08	0.214285714285714	0.820244328097731
0.09	0.267857142857143	0.773123909249564
0.1	0.294642857142857	0.724258289703316
0.11	0.357142857142857	0.666666666666667
0.12	0.375	0.602094240837696
0.13	0.446428571428571	0.554973821989529
0.14	0.491071428571429	0.511343804537522
0.15	0.517857142857143	0.476439790575916
0.16	0.535714285714286	0.422338568935428
0.17	0.589285714285714	0.390924956369983
0.18	0.616071428571429	0.371727748691099
0.19	0.642857142857143	0.328097731239092
0.2	0.642857142857143	0.298429319371728
0.21	0.660714285714286	0.256544502617801
0.22	0.678571428571429	0.235602094240838
0.23	0.6875	0.212914485165794
0.24	0.723214285714286	0.195462478184991
0.25	0.732142857142857	0.178010471204188
0.26	0.75	0.164048865619546
0.27	0.75	0.153577661431065
0.28	0.758928571428571	0.141361256544503
0.29	0.794642857142857	0.137870855148342
0.3	0.803571428571429	0.129144851657941
0.31	0.830357142857143	0.118673647469459
0.32	0.857142857142857	0.111692844677138
0.33	0.866071428571429	0.104712041884817
0.34	0.875	0.0977312390924956
0.35	0.883928571428571	0.0890052356020942
0.36	0.892857142857143	0.0802792321116928
0.37	0.892857142857143	0.0732984293193717
0.38	0.901785714285714	0.0663176265270506
0.39	0.901785714285714	0.0541012216404887
0.4	0.901785714285714	0.0506108202443281
0.41	0.910714285714286	0.0453752181500873
0.42	0.919642857142857	0.043630017452007
0.43	0.9375	0.0383944153577661
0.44	0.9375	0.0349040139616056
0.45	0.9375	0.031413612565445
0.46	0.955357142857143	0.0279232111692845
0.47	0.955357142857143	0.0261780104712042
0.48	0.964285714285714	0.0244328097731239
0.49	0.973214285714286	0.0191972076788831
0.5	0.973214285714286	0.0191972076788831
0.51	0.982142857142857	0.0191972076788831
0.52	0.982142857142857	0.0174520069808028
0.53	0.982142857142857	0.0157068062827225
0.54	0.982142857142857	0.0139616055846422
0.55	0.982142857142857	0.0104712041884817
0.56	0.982142857142857	0.00698080279232112
0.57	0.982142857142857	0.00523560209424084
0.58	0.982142857142857	0.00349040139616056
0.59	0.982142857142857	0.00349040139616056
0.6	0.991071428571429	0.00349040139616056
0.61	0.991071428571429	0.00349040139616056
0.62	0.991071428571429	0.00349040139616056
0.63	0.991071428571429	0.00174520069808028
0.64	0.991071428571429	0.00174520069808028
0.65	1	0.00174520069808028
0.66	1	0.00174520069808028
0.67	1	0.00174520069808028
0.68	1	0.00174520069808028
0.69	1	0.00174520069808028
0.7	1	0
0.71	1	0
0.72	1	0
0.73	1	0
0.74	1	0
0.75	1	0
0.76	1	0
0.77	1	0
0.78	1	0
0.79	1	0
0.8	1	0
0.81	1	0
0.82	1	0
0.83	1	0
0.84	1	0
0.85	1	0
0.86	1	0
0.87	1	0
0.88	1	0
0.89	1	0
0.9	1	0
0.91	1	0
0.92	1	0
0.93	1	0
0.94	1	0
0.95	1	0
0.96	1	0
0.97	1	0
0.98	1	0
0.99	1	0

\begin{tabular}{lllllllll}
\hline
Type I & II errors for various threshold values \tabularnewline
Threshold & Type I & Type II \tabularnewline
0.01 & 0 & 1 \tabularnewline
0.02 & 0 & 1 \tabularnewline
0.03 & 0 & 0.989528795811518 \tabularnewline
0.04 & 0 & 0.968586387434555 \tabularnewline
0.05 & 0.0446428571428571 & 0.93891797556719 \tabularnewline
0.06 & 0.0803571428571429 & 0.912739965095986 \tabularnewline
0.07 & 0.116071428571429 & 0.87783595113438 \tabularnewline
0.08 & 0.214285714285714 & 0.820244328097731 \tabularnewline
0.09 & 0.267857142857143 & 0.773123909249564 \tabularnewline
0.1 & 0.294642857142857 & 0.724258289703316 \tabularnewline
0.11 & 0.357142857142857 & 0.666666666666667 \tabularnewline
0.12 & 0.375 & 0.602094240837696 \tabularnewline
0.13 & 0.446428571428571 & 0.554973821989529 \tabularnewline
0.14 & 0.491071428571429 & 0.511343804537522 \tabularnewline
0.15 & 0.517857142857143 & 0.476439790575916 \tabularnewline
0.16 & 0.535714285714286 & 0.422338568935428 \tabularnewline
0.17 & 0.589285714285714 & 0.390924956369983 \tabularnewline
0.18 & 0.616071428571429 & 0.371727748691099 \tabularnewline
0.19 & 0.642857142857143 & 0.328097731239092 \tabularnewline
0.2 & 0.642857142857143 & 0.298429319371728 \tabularnewline
0.21 & 0.660714285714286 & 0.256544502617801 \tabularnewline
0.22 & 0.678571428571429 & 0.235602094240838 \tabularnewline
0.23 & 0.6875 & 0.212914485165794 \tabularnewline
0.24 & 0.723214285714286 & 0.195462478184991 \tabularnewline
0.25 & 0.732142857142857 & 0.178010471204188 \tabularnewline
0.26 & 0.75 & 0.164048865619546 \tabularnewline
0.27 & 0.75 & 0.153577661431065 \tabularnewline
0.28 & 0.758928571428571 & 0.141361256544503 \tabularnewline
0.29 & 0.794642857142857 & 0.137870855148342 \tabularnewline
0.3 & 0.803571428571429 & 0.129144851657941 \tabularnewline
0.31 & 0.830357142857143 & 0.118673647469459 \tabularnewline
0.32 & 0.857142857142857 & 0.111692844677138 \tabularnewline
0.33 & 0.866071428571429 & 0.104712041884817 \tabularnewline
0.34 & 0.875 & 0.0977312390924956 \tabularnewline
0.35 & 0.883928571428571 & 0.0890052356020942 \tabularnewline
0.36 & 0.892857142857143 & 0.0802792321116928 \tabularnewline
0.37 & 0.892857142857143 & 0.0732984293193717 \tabularnewline
0.38 & 0.901785714285714 & 0.0663176265270506 \tabularnewline
0.39 & 0.901785714285714 & 0.0541012216404887 \tabularnewline
0.4 & 0.901785714285714 & 0.0506108202443281 \tabularnewline
0.41 & 0.910714285714286 & 0.0453752181500873 \tabularnewline
0.42 & 0.919642857142857 & 0.043630017452007 \tabularnewline
0.43 & 0.9375 & 0.0383944153577661 \tabularnewline
0.44 & 0.9375 & 0.0349040139616056 \tabularnewline
0.45 & 0.9375 & 0.031413612565445 \tabularnewline
0.46 & 0.955357142857143 & 0.0279232111692845 \tabularnewline
0.47 & 0.955357142857143 & 0.0261780104712042 \tabularnewline
0.48 & 0.964285714285714 & 0.0244328097731239 \tabularnewline
0.49 & 0.973214285714286 & 0.0191972076788831 \tabularnewline
0.5 & 0.973214285714286 & 0.0191972076788831 \tabularnewline
0.51 & 0.982142857142857 & 0.0191972076788831 \tabularnewline
0.52 & 0.982142857142857 & 0.0174520069808028 \tabularnewline
0.53 & 0.982142857142857 & 0.0157068062827225 \tabularnewline
0.54 & 0.982142857142857 & 0.0139616055846422 \tabularnewline
0.55 & 0.982142857142857 & 0.0104712041884817 \tabularnewline
0.56 & 0.982142857142857 & 0.00698080279232112 \tabularnewline
0.57 & 0.982142857142857 & 0.00523560209424084 \tabularnewline
0.58 & 0.982142857142857 & 0.00349040139616056 \tabularnewline
0.59 & 0.982142857142857 & 0.00349040139616056 \tabularnewline
0.6 & 0.991071428571429 & 0.00349040139616056 \tabularnewline
0.61 & 0.991071428571429 & 0.00349040139616056 \tabularnewline
0.62 & 0.991071428571429 & 0.00349040139616056 \tabularnewline
0.63 & 0.991071428571429 & 0.00174520069808028 \tabularnewline
0.64 & 0.991071428571429 & 0.00174520069808028 \tabularnewline
0.65 & 1 & 0.00174520069808028 \tabularnewline
0.66 & 1 & 0.00174520069808028 \tabularnewline
0.67 & 1 & 0.00174520069808028 \tabularnewline
0.68 & 1 & 0.00174520069808028 \tabularnewline
0.69 & 1 & 0.00174520069808028 \tabularnewline
0.7 & 1 & 0 \tabularnewline
0.71 & 1 & 0 \tabularnewline
0.72 & 1 & 0 \tabularnewline
0.73 & 1 & 0 \tabularnewline
0.74 & 1 & 0 \tabularnewline
0.75 & 1 & 0 \tabularnewline
0.76 & 1 & 0 \tabularnewline
0.77 & 1 & 0 \tabularnewline
0.78 & 1 & 0 \tabularnewline
0.79 & 1 & 0 \tabularnewline
0.8 & 1 & 0 \tabularnewline
0.81 & 1 & 0 \tabularnewline
0.82 & 1 & 0 \tabularnewline
0.83 & 1 & 0 \tabularnewline
0.84 & 1 & 0 \tabularnewline
0.85 & 1 & 0 \tabularnewline
0.86 & 1 & 0 \tabularnewline
0.87 & 1 & 0 \tabularnewline
0.88 & 1 & 0 \tabularnewline
0.89 & 1 & 0 \tabularnewline
0.9 & 1 & 0 \tabularnewline
0.91 & 1 & 0 \tabularnewline
0.92 & 1 & 0 \tabularnewline
0.93 & 1 & 0 \tabularnewline
0.94 & 1 & 0 \tabularnewline
0.95 & 1 & 0 \tabularnewline
0.96 & 1 & 0 \tabularnewline
0.97 & 1 & 0 \tabularnewline
0.98 & 1 & 0 \tabularnewline
0.99 & 1 & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=319667&T=4

[TABLE]
[ROW][C]Type I & II errors for various threshold values[/C][/ROW]
[ROW][C]Threshold[/C][C]Type I[/C][C]Type II[/C][/ROW]
[ROW][C]0.01[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]0.02[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]0.03[/C][C]0[/C][C]0.989528795811518[/C][/ROW]
[ROW][C]0.04[/C][C]0[/C][C]0.968586387434555[/C][/ROW]
[ROW][C]0.05[/C][C]0.0446428571428571[/C][C]0.93891797556719[/C][/ROW]
[ROW][C]0.06[/C][C]0.0803571428571429[/C][C]0.912739965095986[/C][/ROW]
[ROW][C]0.07[/C][C]0.116071428571429[/C][C]0.87783595113438[/C][/ROW]
[ROW][C]0.08[/C][C]0.214285714285714[/C][C]0.820244328097731[/C][/ROW]
[ROW][C]0.09[/C][C]0.267857142857143[/C][C]0.773123909249564[/C][/ROW]
[ROW][C]0.1[/C][C]0.294642857142857[/C][C]0.724258289703316[/C][/ROW]
[ROW][C]0.11[/C][C]0.357142857142857[/C][C]0.666666666666667[/C][/ROW]
[ROW][C]0.12[/C][C]0.375[/C][C]0.602094240837696[/C][/ROW]
[ROW][C]0.13[/C][C]0.446428571428571[/C][C]0.554973821989529[/C][/ROW]
[ROW][C]0.14[/C][C]0.491071428571429[/C][C]0.511343804537522[/C][/ROW]
[ROW][C]0.15[/C][C]0.517857142857143[/C][C]0.476439790575916[/C][/ROW]
[ROW][C]0.16[/C][C]0.535714285714286[/C][C]0.422338568935428[/C][/ROW]
[ROW][C]0.17[/C][C]0.589285714285714[/C][C]0.390924956369983[/C][/ROW]
[ROW][C]0.18[/C][C]0.616071428571429[/C][C]0.371727748691099[/C][/ROW]
[ROW][C]0.19[/C][C]0.642857142857143[/C][C]0.328097731239092[/C][/ROW]
[ROW][C]0.2[/C][C]0.642857142857143[/C][C]0.298429319371728[/C][/ROW]
[ROW][C]0.21[/C][C]0.660714285714286[/C][C]0.256544502617801[/C][/ROW]
[ROW][C]0.22[/C][C]0.678571428571429[/C][C]0.235602094240838[/C][/ROW]
[ROW][C]0.23[/C][C]0.6875[/C][C]0.212914485165794[/C][/ROW]
[ROW][C]0.24[/C][C]0.723214285714286[/C][C]0.195462478184991[/C][/ROW]
[ROW][C]0.25[/C][C]0.732142857142857[/C][C]0.178010471204188[/C][/ROW]
[ROW][C]0.26[/C][C]0.75[/C][C]0.164048865619546[/C][/ROW]
[ROW][C]0.27[/C][C]0.75[/C][C]0.153577661431065[/C][/ROW]
[ROW][C]0.28[/C][C]0.758928571428571[/C][C]0.141361256544503[/C][/ROW]
[ROW][C]0.29[/C][C]0.794642857142857[/C][C]0.137870855148342[/C][/ROW]
[ROW][C]0.3[/C][C]0.803571428571429[/C][C]0.129144851657941[/C][/ROW]
[ROW][C]0.31[/C][C]0.830357142857143[/C][C]0.118673647469459[/C][/ROW]
[ROW][C]0.32[/C][C]0.857142857142857[/C][C]0.111692844677138[/C][/ROW]
[ROW][C]0.33[/C][C]0.866071428571429[/C][C]0.104712041884817[/C][/ROW]
[ROW][C]0.34[/C][C]0.875[/C][C]0.0977312390924956[/C][/ROW]
[ROW][C]0.35[/C][C]0.883928571428571[/C][C]0.0890052356020942[/C][/ROW]
[ROW][C]0.36[/C][C]0.892857142857143[/C][C]0.0802792321116928[/C][/ROW]
[ROW][C]0.37[/C][C]0.892857142857143[/C][C]0.0732984293193717[/C][/ROW]
[ROW][C]0.38[/C][C]0.901785714285714[/C][C]0.0663176265270506[/C][/ROW]
[ROW][C]0.39[/C][C]0.901785714285714[/C][C]0.0541012216404887[/C][/ROW]
[ROW][C]0.4[/C][C]0.901785714285714[/C][C]0.0506108202443281[/C][/ROW]
[ROW][C]0.41[/C][C]0.910714285714286[/C][C]0.0453752181500873[/C][/ROW]
[ROW][C]0.42[/C][C]0.919642857142857[/C][C]0.043630017452007[/C][/ROW]
[ROW][C]0.43[/C][C]0.9375[/C][C]0.0383944153577661[/C][/ROW]
[ROW][C]0.44[/C][C]0.9375[/C][C]0.0349040139616056[/C][/ROW]
[ROW][C]0.45[/C][C]0.9375[/C][C]0.031413612565445[/C][/ROW]
[ROW][C]0.46[/C][C]0.955357142857143[/C][C]0.0279232111692845[/C][/ROW]
[ROW][C]0.47[/C][C]0.955357142857143[/C][C]0.0261780104712042[/C][/ROW]
[ROW][C]0.48[/C][C]0.964285714285714[/C][C]0.0244328097731239[/C][/ROW]
[ROW][C]0.49[/C][C]0.973214285714286[/C][C]0.0191972076788831[/C][/ROW]
[ROW][C]0.5[/C][C]0.973214285714286[/C][C]0.0191972076788831[/C][/ROW]
[ROW][C]0.51[/C][C]0.982142857142857[/C][C]0.0191972076788831[/C][/ROW]
[ROW][C]0.52[/C][C]0.982142857142857[/C][C]0.0174520069808028[/C][/ROW]
[ROW][C]0.53[/C][C]0.982142857142857[/C][C]0.0157068062827225[/C][/ROW]
[ROW][C]0.54[/C][C]0.982142857142857[/C][C]0.0139616055846422[/C][/ROW]
[ROW][C]0.55[/C][C]0.982142857142857[/C][C]0.0104712041884817[/C][/ROW]
[ROW][C]0.56[/C][C]0.982142857142857[/C][C]0.00698080279232112[/C][/ROW]
[ROW][C]0.57[/C][C]0.982142857142857[/C][C]0.00523560209424084[/C][/ROW]
[ROW][C]0.58[/C][C]0.982142857142857[/C][C]0.00349040139616056[/C][/ROW]
[ROW][C]0.59[/C][C]0.982142857142857[/C][C]0.00349040139616056[/C][/ROW]
[ROW][C]0.6[/C][C]0.991071428571429[/C][C]0.00349040139616056[/C][/ROW]
[ROW][C]0.61[/C][C]0.991071428571429[/C][C]0.00349040139616056[/C][/ROW]
[ROW][C]0.62[/C][C]0.991071428571429[/C][C]0.00349040139616056[/C][/ROW]
[ROW][C]0.63[/C][C]0.991071428571429[/C][C]0.00174520069808028[/C][/ROW]
[ROW][C]0.64[/C][C]0.991071428571429[/C][C]0.00174520069808028[/C][/ROW]
[ROW][C]0.65[/C][C]1[/C][C]0.00174520069808028[/C][/ROW]
[ROW][C]0.66[/C][C]1[/C][C]0.00174520069808028[/C][/ROW]
[ROW][C]0.67[/C][C]1[/C][C]0.00174520069808028[/C][/ROW]
[ROW][C]0.68[/C][C]1[/C][C]0.00174520069808028[/C][/ROW]
[ROW][C]0.69[/C][C]1[/C][C]0.00174520069808028[/C][/ROW]
[ROW][C]0.7[/C][C]1[/C][C]0[/C][/ROW]
[ROW][C]0.71[/C][C]1[/C][C]0[/C][/ROW]
[ROW][C]0.72[/C][C]1[/C][C]0[/C][/ROW]
[ROW][C]0.73[/C][C]1[/C][C]0[/C][/ROW]
[ROW][C]0.74[/C][C]1[/C][C]0[/C][/ROW]
[ROW][C]0.75[/C][C]1[/C][C]0[/C][/ROW]
[ROW][C]0.76[/C][C]1[/C][C]0[/C][/ROW]
[ROW][C]0.77[/C][C]1[/C][C]0[/C][/ROW]
[ROW][C]0.78[/C][C]1[/C][C]0[/C][/ROW]
[ROW][C]0.79[/C][C]1[/C][C]0[/C][/ROW]
[ROW][C]0.8[/C][C]1[/C][C]0[/C][/ROW]
[ROW][C]0.81[/C][C]1[/C][C]0[/C][/ROW]
[ROW][C]0.82[/C][C]1[/C][C]0[/C][/ROW]
[ROW][C]0.83[/C][C]1[/C][C]0[/C][/ROW]
[ROW][C]0.84[/C][C]1[/C][C]0[/C][/ROW]
[ROW][C]0.85[/C][C]1[/C][C]0[/C][/ROW]
[ROW][C]0.86[/C][C]1[/C][C]0[/C][/ROW]
[ROW][C]0.87[/C][C]1[/C][C]0[/C][/ROW]
[ROW][C]0.88[/C][C]1[/C][C]0[/C][/ROW]
[ROW][C]0.89[/C][C]1[/C][C]0[/C][/ROW]
[ROW][C]0.9[/C][C]1[/C][C]0[/C][/ROW]
[ROW][C]0.91[/C][C]1[/C][C]0[/C][/ROW]
[ROW][C]0.92[/C][C]1[/C][C]0[/C][/ROW]
[ROW][C]0.93[/C][C]1[/C][C]0[/C][/ROW]
[ROW][C]0.94[/C][C]1[/C][C]0[/C][/ROW]
[ROW][C]0.95[/C][C]1[/C][C]0[/C][/ROW]
[ROW][C]0.96[/C][C]1[/C][C]0[/C][/ROW]
[ROW][C]0.97[/C][C]1[/C][C]0[/C][/ROW]
[ROW][C]0.98[/C][C]1[/C][C]0[/C][/ROW]
[ROW][C]0.99[/C][C]1[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=319667&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=319667&T=4

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Type I & II errors for various threshold values
Threshold	Type I	Type II
0.01	0	1
0.02	0	1
0.03	0	0.989528795811518
0.04	0	0.968586387434555
0.05	0.0446428571428571	0.93891797556719
0.06	0.0803571428571429	0.912739965095986
0.07	0.116071428571429	0.87783595113438
0.08	0.214285714285714	0.820244328097731
0.09	0.267857142857143	0.773123909249564
0.1	0.294642857142857	0.724258289703316
0.11	0.357142857142857	0.666666666666667
0.12	0.375	0.602094240837696
0.13	0.446428571428571	0.554973821989529
0.14	0.491071428571429	0.511343804537522
0.15	0.517857142857143	0.476439790575916
0.16	0.535714285714286	0.422338568935428
0.17	0.589285714285714	0.390924956369983
0.18	0.616071428571429	0.371727748691099
0.19	0.642857142857143	0.328097731239092
0.2	0.642857142857143	0.298429319371728
0.21	0.660714285714286	0.256544502617801
0.22	0.678571428571429	0.235602094240838
0.23	0.6875	0.212914485165794
0.24	0.723214285714286	0.195462478184991
0.25	0.732142857142857	0.178010471204188
0.26	0.75	0.164048865619546
0.27	0.75	0.153577661431065
0.28	0.758928571428571	0.141361256544503
0.29	0.794642857142857	0.137870855148342
0.3	0.803571428571429	0.129144851657941
0.31	0.830357142857143	0.118673647469459
0.32	0.857142857142857	0.111692844677138
0.33	0.866071428571429	0.104712041884817
0.34	0.875	0.0977312390924956
0.35	0.883928571428571	0.0890052356020942
0.36	0.892857142857143	0.0802792321116928
0.37	0.892857142857143	0.0732984293193717
0.38	0.901785714285714	0.0663176265270506
0.39	0.901785714285714	0.0541012216404887
0.4	0.901785714285714	0.0506108202443281
0.41	0.910714285714286	0.0453752181500873
0.42	0.919642857142857	0.043630017452007
0.43	0.9375	0.0383944153577661
0.44	0.9375	0.0349040139616056
0.45	0.9375	0.031413612565445
0.46	0.955357142857143	0.0279232111692845
0.47	0.955357142857143	0.0261780104712042
0.48	0.964285714285714	0.0244328097731239
0.49	0.973214285714286	0.0191972076788831
0.5	0.973214285714286	0.0191972076788831
0.51	0.982142857142857	0.0191972076788831
0.52	0.982142857142857	0.0174520069808028
0.53	0.982142857142857	0.0157068062827225
0.54	0.982142857142857	0.0139616055846422
0.55	0.982142857142857	0.0104712041884817
0.56	0.982142857142857	0.00698080279232112
0.57	0.982142857142857	0.00523560209424084
0.58	0.982142857142857	0.00349040139616056
0.59	0.982142857142857	0.00349040139616056
0.6	0.991071428571429	0.00349040139616056
0.61	0.991071428571429	0.00349040139616056
0.62	0.991071428571429	0.00349040139616056
0.63	0.991071428571429	0.00174520069808028
0.64	0.991071428571429	0.00174520069808028
0.65	1	0.00174520069808028
0.66	1	0.00174520069808028
0.67	1	0.00174520069808028
0.68	1	0.00174520069808028
0.69	1	0.00174520069808028
0.7	1	0
0.71	1	0
0.72	1	0
0.73	1	0
0.74	1	0
0.75	1	0
0.76	1	0
0.77	1	0
0.78	1	0
0.79	1	0
0.8	1	0
0.81	1	0
0.82	1	0
0.83	1	0
0.84	1	0
0.85	1	0
0.86	1	0
0.87	1	0
0.88	1	0
0.89	1	0
0.9	1	0
0.91	1	0
0.92	1	0
0.93	1	0
0.94	1	0
0.95	1	0
0.96	1	0
0.97	1	0
0.98	1	0
0.99	1	0

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Parameters (Session):

Parameters (R input):

R code (references can be found in the software module):

library(brglm)
roc.plot <- function (sd, sdc, newplot = TRUE, ...)
{
sall <- sort(c(sd, sdc))
sens <- 0
specc <- 0
for (i in length(sall):1) {
sens <- c(sens, mean(sd >= sall[i], na.rm = T))
specc <- c(specc, mean(sdc >= sall[i], na.rm = T))
}
if (newplot) {
plot(specc, sens, xlim = c(0, 1), ylim = c(0, 1), type = 'l',
xlab = '1-specificity', ylab = 'sensitivity', main = 'ROC plot', ...)
abline(0, 1)
}
else lines(specc, sens, ...)
npoints <- length(sens)
area <- sum(0.5 * (sens[-1] + sens[-npoints]) * (specc[-1] -
specc[-npoints]))
lift <- (sens - specc)[-1]
cutoff <- sall[lift == max(lift)][1]
sensopt <- sens[-1][lift == max(lift)][1]
specopt <- 1 - specc[-1][lift == max(lift)][1]
list(area = area, cutoff = cutoff, sensopt = sensopt, specopt = specopt)
}
roc.analysis <- function (object, newdata = NULL, newplot = TRUE, ...)
{
if (is.null(newdata)) {
sd <- object$fitted[object$y == 1]
sdc <- object$fitted[object$y == 0]
}
else {
sd <- predict(object, newdata, type = 'response')[newdata$y ==
1]
sdc <- predict(object, newdata, type = 'response')[newdata$y ==
0]
}
roc.plot(sd, sdc, newplot, ...)
}
hosmerlem <- function (y, yhat, g = 10)
{
cutyhat <- cut(yhat, breaks = quantile(yhat, probs = seq(0,
1, 1/g)), include.lowest = T)
obs <- xtabs(cbind(1 - y, y) ~ cutyhat)
expect <- xtabs(cbind(1 - yhat, yhat) ~ cutyhat)
chisq <- sum((obs - expect)^2/expect)
P <- 1 - pchisq(chisq, g - 2)
c('X^2' = chisq, Df = g - 2, 'P(>Chi)' = P)
}
x <- as.data.frame(t(y))
r <- brglm(x)
summary(r)
rc <- summary(r)$coeff
try(hm <- hosmerlem(y[1,],r$fitted.values),silent=T)
try(hm,silent=T)
bitmap(file='test0.png')
ra <- roc.analysis(r)
dev.off()
te <- array(0,dim=c(2,99))
for (i in 1:99) {
threshold <- i / 100
numcorr1 <- 0
numfaul1 <- 0
numcorr0 <- 0
numfaul0 <- 0
for (j in 1:length(r$fitted.values)) {
if (y[1,j] > 0.99) {
if (r$fitted.values[j] >= threshold) numcorr1 = numcorr1 + 1 else numfaul1 = numfaul1 + 1
} else {
if (r$fitted.values[j] < threshold) numcorr0 = numcorr0 + 1 else numfaul0 = numfaul0 + 1
}
}
te[1,i] <- numfaul1 / (numfaul1 + numcorr1)
te[2,i] <- numfaul0 / (numfaul0 + numcorr0)
}
bitmap(file='test1.png')
op <- par(mfrow=c(2,2))
plot((1:99)/100,te[1,],xlab='Threshold',ylab='Type I error', main='1 - Specificity')
plot((1:99)/100,te[2,],xlab='Threshold',ylab='Type II error', main='1 - Sensitivity')
plot(te[1,],te[2,],xlab='Type I error',ylab='Type II error', main='(1-Sens.) vs (1-Spec.)')
plot((1:99)/100,te[1,]+te[2,],xlab='Threshold',ylab='Sum of Type I & II error', main='(1-Sens.) + (1-Spec.)')
par(op)
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Coefficients of Bias-Reduced Logistic Regression',5,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Variable',header=TRUE)
a<-table.element(a,'Parameter',header=TRUE)
a<-table.element(a,'S.E.',header=TRUE)
a<-table.element(a,'t-stat',header=TRUE)
a<-table.element(a,'2-sided p-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:length(rc[,1])) {
a<-table.row.start(a)
a<-table.element(a,labels(rc)[[1]][i],header=TRUE)
a<-table.element(a,rc[i,1])
a<-table.element(a,rc[i,2])
a<-table.element(a,rc[i,3])
a<-table.element(a,2*(1-pt(abs(rc[i,3]),r$df.residual)))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Summary of Bias-Reduced Logistic Regression',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Deviance',1,TRUE)
a<-table.element(a,r$deviance)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Penalized deviance',1,TRUE)
a<-table.element(a,r$penalized.deviance)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Residual Degrees of Freedom',1,TRUE)
a<-table.element(a,r$df.residual)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'ROC Area',1,TRUE)
a<-table.element(a,ra$area)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Hosmer–Lemeshow test',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Chi-square',1,TRUE)
phm <- array('NA',dim=3)
for (i in 1:3) { try(phm[i] <- hm[i],silent=T) }
a<-table.element(a,phm[1])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Degrees of Freedom',1,TRUE)
a<-table.element(a,phm[2])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'P(>Chi)',1,TRUE)
a<-table.element(a,phm[3])
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable1.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Fit of Logistic Regression',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Index',1,TRUE)
a<-table.element(a,'Actual',1,TRUE)
a<-table.element(a,'Fitted',1,TRUE)
a<-table.element(a,'Error',1,TRUE)
a<-table.row.end(a)
for (i in 1:length(r$fitted.values)) {
a<-table.row.start(a)
a<-table.element(a,i,1,TRUE)
a<-table.element(a,y[1,i])
a<-table.element(a,r$fitted.values[i])
a<-table.element(a,y[1,i]-r$fitted.values[i])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable2.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Type I & II errors for various threshold values',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Threshold',1,TRUE)
a<-table.element(a,'Type I',1,TRUE)
a<-table.element(a,'Type II',1,TRUE)
a<-table.row.end(a)
for (i in 1:99) {
a<-table.row.start(a)
a<-table.element(a,i/100,1,TRUE)
a<-table.element(a,te[1,i])
a<-table.element(a,te[2,i])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable3.tab')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code