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Author

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R Software Module

rwasp_regression_trees1.wasp

Title produced by software

Recursive Partitioning (Regression Trees)

Date of computation

Tue, 13 Dec 2011 10:00:59 -0500

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Dec/13/t1323788566bhq2n8rbycanfy5.htm/, Retrieved Thu, 16 May 2024 06:09:14 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=154410, Retrieved Thu, 16 May 2024 06:09:14 +0000

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IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

112

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

-     [Recursive Partitioning (Regression Trees)] [] [2010-12-05 18:59:57] [b98453cac15ba1066b407e146608df68]
- R PD    [Recursive Partitioning (Regression Trees)] [Recursive partiti...] [2011-12-13 15:00:59] [c897fb90cb9e1f725365d7e541ad7850] [Current]
- R PD      [Recursive Partitioning (Regression Trees)] [Deel III Regressi...] [2011-12-20 10:58:33] [f5fdea4413921432bb019d1f20c4f2ec] 
- R P         [Recursive Partitioning (Regression Trees)] [Deel III Regressi...] [2011-12-20 11:04:57] [f5fdea4413921432bb019d1f20c4f2ec] 
-   P           [Recursive Partitioning (Regression Trees)] [Deel III Regressi...] [2011-12-21 22:44:54] [74be16979710d4c4e7c6647856088456] 

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Dataseries X:

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7.4	0.7	0	1.9	0.076	11	34	0.9978	3.51	0.56	9.4	5
7.8	0.88	0	2.6	0.098	25	67	0.9968	3.2	0.68	9.8	5
7.8	0.76	0.04	2.3	0.092	15	54	0.997	3.26	0.65	9.8	5
11.2	0.28	0.56	1.9	0.075	17	60	0.998	3.16	0.58	9.8	6
7.4	0.7	0	1.9	0.076	11	34	0.9978	3.51	0.56	9.4	5
7.4	0.66	0	1.8	0.075	13	40	0.9978	3.51	0.56	9.4	5
7.9	0.6	0.06	1.6	0.069	15	59	0.9964	3.3	0.46	9.4	5
7.3	0.65	0	1.2	0.065	15	21	0.9946	3.39	0.47	10	7
7.8	0.58	0.02	2	0.073	9	18	0.9968	3.36	0.57	9.5	7
7.5	0.5	0.36	6.1	0.071	17	102	0.9978	3.35	0.8	10.5	5
6.7	0.58	0.08	1.8	0.097	15	65	0.9959	3.28	0.54	9.2	5
7.5	0.5	0.36	6.1	0.071	17	102	0.9978	3.35	0.8	10.5	5
5.6	0.615	0	1.6	0.089	16	59	0.9943	3.58	0.52	9.9	5
7.8	0.61	0.29	1.6	0.114	9	29	0.9974	3.26	1.56	9.1	5
8.9	0.62	0.18	3.8	0.176	52	145	0.9986	3.16	0.88	9.2	5
8.9	0.62	0.19	3.9	0.17	51	148	0.9986	3.17	0.93	9.2	5
8.5	0.28	0.56	1.8	0.092	35	103	0.9969	3.3	0.75	10.5	7
8.1	0.56	0.28	1.7	0.368	16	56	0.9968	3.11	1.28	9.3	5
7.4	0.59	0.08	4.4	0.086	6	29	0.9974	3.38	0.5	9	4
7.9	0.32	0.51	1.8	0.341	17	56	0.9969	3.04	1.08	9.2	6
8.9	0.22	0.48	1.8	0.077	29	60	0.9968	3.39	0.53	9.4	6
7.6	0.39	0.31	2.3	0.082	23	71	0.9982	3.52	0.65	9.7	5
7.9	0.43	0.21	1.6	0.106	10	37	0.9966	3.17	0.91	9.5	5
8.5	0.49	0.11	2.3	0.084	9	67	0.9968	3.17	0.53	9.4	5
6.9	0.4	0.14	2.4	0.085	21	40	0.9968	3.43	0.63	9.7	6
6.3	0.39	0.16	1.4	0.08	11	23	0.9955	3.34	0.56	9.3	5
7.6	0.41	0.24	1.8	0.08	4	11	0.9962	3.28	0.59	9.5	5
7.9	0.43	0.21	1.6	0.106	10	37	0.9966	3.17	0.91	9.5	5
7.1	0.71	0	1.9	0.08	14	35	0.9972	3.47	0.55	9.4	5
7.8	0.645	0	2	0.082	8	16	0.9964	3.38	0.59	9.8	6
6.7	0.675	0.07	2.4	0.089	17	82	0.9958	3.35	0.54	10.1	5
6.9	0.685	0	2.5	0.105	22	37	0.9966	3.46	0.57	10.6	6
8.3	0.655	0.12	2.3	0.083	15	113	0.9966	3.17	0.66	9.8	5
6.9	0.605	0.12	10.7	0.073	40	83	0.9993	3.45	0.52	9.4	6
5.2	0.32	0.25	1.8	0.103	13	50	0.9957	3.38	0.55	9.2	5
7.8	0.645	0	5.5	0.086	5	18	0.9986	3.4	0.55	9.6	6
7.8	0.6	0.14	2.4	0.086	3	15	0.9975	3.42	0.6	10.8	6
8.1	0.38	0.28	2.1	0.066	13	30	0.9968	3.23	0.73	9.7	7
5.7	1.13	0.09	1.5	0.172	7	19	0.994	3.5	0.48	9.8	4
7.3	0.45	0.36	5.9	0.074	12	87	0.9978	3.33	0.83	10.5	5
7.3	0.45	0.36	5.9	0.074	12	87	0.9978	3.33	0.83	10.5	5
8.8	0.61	0.3	2.8	0.088	17	46	0.9976	3.26	0.51	9.3	4
7.5	0.49	0.2	2.6	0.332	8	14	0.9968	3.21	0.9	10.5	6
8.1	0.66	0.22	2.2	0.069	9	23	0.9968	3.3	1.2	10.3	5
6.8	0.67	0.02	1.8	0.05	5	11	0.9962	3.48	0.52	9.5	5
4.6	0.52	0.15	2.1	0.054	8	65	0.9934	3.9	0.56	13.1	4
7.7	0.935	0.43	2.2	0.114	22	114	0.997	3.25	0.73	9.2	5
8.7	0.29	0.52	1.6	0.113	12	37	0.9969	3.25	0.58	9.5	5
6.4	0.4	0.23	1.6	0.066	5	12	0.9958	3.34	0.56	9.2	5
5.6	0.31	0.37	1.4	0.074	12	96	0.9954	3.32	0.58	9.2	5
8.8	0.66	0.26	1.7	0.074	4	23	0.9971	3.15	0.74	9.2	5
6.6	0.52	0.04	2.2	0.069	8	15	0.9956	3.4	0.63	9.4	6
6.6	0.5	0.04	2.1	0.068	6	14	0.9955	3.39	0.64	9.4	6
8.6	0.38	0.36	3	0.081	30	119	0.997	3.2	0.56	9.4	5
7.6	0.51	0.15	2.8	0.11	33	73	0.9955	3.17	0.63	10.2	6
7.7	0.62	0.04	3.8	0.084	25	45	0.9978	3.34	0.53	9.5	5
10.2	0.42	0.57	3.4	0.07	4	10	0.9971	3.04	0.63	9.6	5
7.5	0.63	0.12	5.1	0.111	50	110	0.9983	3.26	0.77	9.4	5
7.8	0.59	0.18	2.3	0.076	17	54	0.9975	3.43	0.59	10	5
7.3	0.39	0.31	2.4	0.074	9	46	0.9962	3.41	0.54	9.4	6
8.8	0.4	0.4	2.2	0.079	19	52	0.998	3.44	0.64	9.2	5
7.7	0.69	0.49	1.8	0.115	20	112	0.9968	3.21	0.71	9.3	5
7.5	0.52	0.16	1.9	0.085	12	35	0.9968	3.38	0.62	9.5	7
7	0.735	0.05	2	0.081	13	54	0.9966	3.39	0.57	9.8	5
7.2	0.725	0.05	4.65	0.086	4	11	0.9962	3.41	0.39	10.9	5
7.2	0.725	0.05	4.65	0.086	4	11	0.9962	3.41	0.39	10.9	5
7.5	0.52	0.11	1.5	0.079	11	39	0.9968	3.42	0.58	9.6	5
6.6	0.705	0.07	1.6	0.076	6	15	0.9962	3.44	0.58	10.7	5
9.3	0.32	0.57	2	0.074	27	65	0.9969	3.28	0.79	10.7	5
8	0.705	0.05	1.9	0.074	8	19	0.9962	3.34	0.95	10.5	6
7.7	0.63	0.08	1.9	0.076	15	27	0.9967	3.32	0.54	9.5	6
7.7	0.67	0.23	2.1	0.088	17	96	0.9962	3.32	0.48	9.5	5
7.7	0.69	0.22	1.9	0.084	18	94	0.9961	3.31	0.48	9.5	5
8.3	0.675	0.26	2.1	0.084	11	43	0.9976	3.31	0.53	9.2	4
9.7	0.32	0.54	2.5	0.094	28	83	0.9984	3.28	0.82	9.6	5
8.8	0.41	0.64	2.2	0.093	9	42	0.9986	3.54	0.66	10.5	5
8.8	0.41	0.64	2.2	0.093	9	42	0.9986	3.54	0.66	10.5	5
6.8	0.785	0	2.4	0.104	14	30	0.9966	3.52	0.55	10.7	6
6.7	0.75	0.12	2	0.086	12	80	0.9958	3.38	0.52	10.1	5
8.3	0.625	0.2	1.5	0.08	27	119	0.9972	3.16	1.12	9.1	4
6.2	0.45	0.2	1.6	0.069	3	15	0.9958	3.41	0.56	9.2	5
7.8	0.43	0.7	1.9	0.464	22	67	0.9974	3.13	1.28	9.4	5
7.4	0.5	0.47	2	0.086	21	73	0.997	3.36	0.57	9.1	5
7.3	0.67	0.26	1.8	0.401	16	51	0.9969	3.16	1.14	9.4	5
6.3	0.3	0.48	1.8	0.069	18	61	0.9959	3.44	0.78	10.3	6
6.9	0.55	0.15	2.2	0.076	19	40	0.9961	3.41	0.59	10.1	5
8.6	0.49	0.28	1.9	0.11	20	136	0.9972	2.93	1.95	9.9	6
7.7	0.49	0.26	1.9	0.062	9	31	0.9966	3.39	0.64	9.6	5
9.3	0.39	0.44	2.1	0.107	34	125	0.9978	3.14	1.22	9.5	5
7	0.62	0.08	1.8	0.076	8	24	0.9978	3.48	0.53	9	5
7.9	0.52	0.26	1.9	0.079	42	140	0.9964	3.23	0.54	9.5	5
8.6	0.49	0.28	1.9	0.11	20	136	0.9972	2.93	1.95	9.9	6
8.6	0.49	0.29	2	0.11	19	133	0.9972	2.93	1.98	9.8	5
7.7	0.49	0.26	1.9	0.062	9	31	0.9966	3.39	0.64	9.6	5
5	1.02	0.04	1.4	0.045	41	85	0.9938	3.75	0.48	10.5	4
4.7	0.6	0.17	2.3	0.058	17	106	0.9932	3.85	0.6	12.9	6
6.8	0.775	0	3	0.102	8	23	0.9965	3.45	0.56	10.7	5
7	0.5	0.25	2	0.07	3	22	0.9963	3.25	0.63	9.2	5
7.6	0.9	0.06	2.5	0.079	5	10	0.9967	3.39	0.56	9.8	5
8.1	0.545	0.18	1.9	0.08	13	35	0.9972	3.3	0.59	9	6
8.3	0.61	0.3	2.1	0.084	11	50	0.9972	3.4	0.61	10.2	6
7.8	0.5	0.3	1.9	0.075	8	22	0.9959	3.31	0.56	10.4	6
8.1	0.545	0.18	1.9	0.08	13	35	0.9972	3.3	0.59	9	6
8.1	0.575	0.22	2.1	0.077	12	65	0.9967	3.29	0.51	9.2	5
7.2	0.49	0.24	2.2	0.07	5	36	0.996	3.33	0.48	9.4	5
8.1	0.575	0.22	2.1	0.077	12	65	0.9967	3.29	0.51	9.2	5
7.8	0.41	0.68	1.7	0.467	18	69	0.9973	3.08	1.31	9.3	5
6.2	0.63	0.31	1.7	0.088	15	64	0.9969	3.46	0.79	9.3	5
8	0.33	0.53	2.5	0.091	18	80	0.9976	3.37	0.8	9.6	6
8.1	0.785	0.52	2	0.122	37	153	0.9969	3.21	0.69	9.3	5
7.8	0.56	0.19	1.8	0.104	12	47	0.9964	3.19	0.93	9.5	5
8.4	0.62	0.09	2.2	0.084	11	108	0.9964	3.15	0.66	9.8	5
8.4	0.6	0.1	2.2	0.085	14	111	0.9964	3.15	0.66	9.8	5
10.1	0.31	0.44	2.3	0.08	22	46	0.9988	3.32	0.67	9.7	6
7.8	0.56	0.19	1.8	0.104	12	47	0.9964	3.19	0.93	9.5	5
9.4	0.4	0.31	2.2	0.09	13	62	0.9966	3.07	0.63	10.5	6
8.3	0.54	0.28	1.9	0.077	11	40	0.9978	3.39	0.61	10	6
7.8	0.56	0.12	2	0.082	7	28	0.997	3.37	0.5	9.4	6
8.8	0.55	0.04	2.2	0.119	14	56	0.9962	3.21	0.6	10.9	6
7	0.69	0.08	1.8	0.097	22	89	0.9959	3.34	0.54	9.2	6
7.3	1.07	0.09	1.7	0.178	10	89	0.9962	3.3	0.57	9	5
8.8	0.55	0.04	2.2	0.119	14	56	0.9962	3.21	0.6	10.9	6
7.3	0.695	0	2.5	0.075	3	13	0.998	3.49	0.52	9.2	5
8	0.71	0	2.6	0.08	11	34	0.9976	3.44	0.53	9.5	5
7.8	0.5	0.17	1.6	0.082	21	102	0.996	3.39	0.48	9.5	5
9	0.62	0.04	1.9	0.146	27	90	0.9984	3.16	0.7	9.4	5
8.2	1.33	0	1.7	0.081	3	12	0.9964	3.53	0.49	10.9	5
8.1	1.33	0	1.8	0.082	3	12	0.9964	3.54	0.48	10.9	5
8	0.59	0.16	1.8	0.065	3	16	0.9962	3.42	0.92	10.5	7
6.1	0.38	0.15	1.8	0.072	6	19	0.9955	3.42	0.57	9.4	5
8	0.745	0.56	2	0.118	30	134	0.9968	3.24	0.66	9.4	5
5.6	0.5	0.09	2.3	0.049	17	99	0.9937	3.63	0.63	13	5
5.6	0.5	0.09	2.3	0.049	17	99	0.9937	3.63	0.63	13	5
6.6	0.5	0.01	1.5	0.06	17	26	0.9952	3.4	0.58	9.8	6
7.9	1.04	0.05	2.2	0.084	13	29	0.9959	3.22	0.55	9.9	6
8.4	0.745	0.11	1.9	0.09	16	63	0.9965	3.19	0.82	9.6	5
8.3	0.715	0.15	1.8	0.089	10	52	0.9968	3.23	0.77	9.5	5
7.2	0.415	0.36	2	0.081	13	45	0.9972	3.48	0.64	9.2	5
7.8	0.56	0.19	2.1	0.081	15	105	0.9962	3.33	0.54	9.5	5
7.8	0.56	0.19	2	0.081	17	108	0.9962	3.32	0.54	9.5	5
8.4	0.745	0.11	1.9	0.09	16	63	0.9965	3.19	0.82	9.6	5
8.3	0.715	0.15	1.8	0.089	10	52	0.9968	3.23	0.77	9.5	5
5.2	0.34	0	1.8	0.05	27	63	0.9916	3.68	0.79	14	6
6.3	0.39	0.08	1.7	0.066	3	20	0.9954	3.34	0.58	9.4	5
5.2	0.34	0	1.8	0.05	27	63	0.9916	3.68	0.79	14	6
8.1	0.67	0.55	1.8	0.117	32	141	0.9968	3.17	0.62	9.4	5
5.8	0.68	0.02	1.8	0.087	21	94	0.9944	3.54	0.52	10	5
7.6	0.49	0.26	1.6	0.236	10	88	0.9968	3.11	0.8	9.3	5
6.9	0.49	0.1	2.3	0.074	12	30	0.9959	3.42	0.58	10.2	6
8.2	0.4	0.44	2.8	0.089	11	43	0.9975	3.53	0.61	10.5	6
7.3	0.33	0.47	2.1	0.077	5	11	0.9958	3.33	0.53	10.3	6
9.2	0.52	1	3.4	0.61	32	69	0.9996	2.74	2	9.4	4
7.5	0.6	0.03	1.8	0.095	25	99	0.995	3.35	0.54	10.1	5
7.5	0.6	0.03	1.8	0.095	25	99	0.995	3.35	0.54	10.1	5
7.1	0.43	0.42	5.5	0.07	29	129	0.9973	3.42	0.72	10.5	5
7.1	0.43	0.42	5.5	0.071	28	128	0.9973	3.42	0.71	10.5	5
7.1	0.43	0.42	5.5	0.07	29	129	0.9973	3.42	0.72	10.5	5
7.1	0.43	0.42	5.5	0.071	28	128	0.9973	3.42	0.71	10.5	5
7.1	0.68	0	2.2	0.073	12	22	0.9969	3.48	0.5	9.3	5
6.8	0.6	0.18	1.9	0.079	18	86	0.9968	3.59	0.57	9.3	6
7.6	0.95	0.03	2	0.09	7	20	0.9959	3.2	0.56	9.6	5
7.6	0.68	0.02	1.3	0.072	9	20	0.9965	3.17	1.08	9.2	4
7.8	0.53	0.04	1.7	0.076	17	31	0.9964	3.33	0.56	10	6
7.4	0.6	0.26	7.3	0.07	36	121	0.9982	3.37	0.49	9.4	5
7.3	0.59	0.26	7.2	0.07	35	121	0.9981	3.37	0.49	9.4	5
7.8	0.63	0.48	1.7	0.1	14	96	0.9961	3.19	0.62	9.5	5
6.8	0.64	0.1	2.1	0.085	18	101	0.9956	3.34	0.52	10.2	5
7.3	0.55	0.03	1.6	0.072	17	42	0.9956	3.37	0.48	9	4
6.8	0.63	0.07	2.1	0.089	11	44	0.9953	3.47	0.55	10.4	6
7.5	0.705	0.24	1.8	0.36	15	63	0.9964	3	1.59	9.5	5
7.9	0.885	0.03	1.8	0.058	4	8	0.9972	3.36	0.33	9.1	4
8	0.42	0.17	2	0.073	6	18	0.9972	3.29	0.61	9.2	6
8	0.42	0.17	2	0.073	6	18	0.9972	3.29	0.61	9.2	6
7.4	0.62	0.05	1.9	0.068	24	42	0.9961	3.42	0.57	11.5	6
7.3	0.38	0.21	2	0.08	7	35	0.9961	3.33	0.47	9.5	5
6.9	0.5	0.04	1.5	0.085	19	49	0.9958	3.35	0.78	9.5	5
7.3	0.38	0.21	2	0.08	7	35	0.9961	3.33	0.47	9.5	5
7.5	0.52	0.42	2.3	0.087	8	38	0.9972	3.58	0.61	10.5	6
7	0.805	0	2.5	0.068	7	20	0.9969	3.48	0.56	9.6	5
8.8	0.61	0.14	2.4	0.067	10	42	0.9969	3.19	0.59	9.5	5
8.8	0.61	0.14	2.4	0.067	10	42	0.9969	3.19	0.59	9.5	5
8.9	0.61	0.49	2	0.27	23	110	0.9972	3.12	1.02	9.3	5
7.2	0.73	0.02	2.5	0.076	16	42	0.9972	3.44	0.52	9.3	5
6.8	0.61	0.2	1.8	0.077	11	65	0.9971	3.54	0.58	9.3	5
6.7	0.62	0.21	1.9	0.079	8	62	0.997	3.52	0.58	9.3	6
8.9	0.31	0.57	2	0.111	26	85	0.9971	3.26	0.53	9.7	5
7.4	0.39	0.48	2	0.082	14	67	0.9972	3.34	0.55	9.2	5
7.7	0.705	0.1	2.6	0.084	9	26	0.9976	3.39	0.49	9.7	5
7.9	0.5	0.33	2	0.084	15	143	0.9968	3.2	0.55	9.5	5
7.9	0.49	0.32	1.9	0.082	17	144	0.9968	3.2	0.55	9.5	5
8.2	0.5	0.35	2.9	0.077	21	127	0.9976	3.23	0.62	9.4	5
6.4	0.37	0.25	1.9	0.074	21	49	0.9974	3.57	0.62	9.8	6
6.8	0.63	0.12	3.8	0.099	16	126	0.9969	3.28	0.61	9.5	5
7.6	0.55	0.21	2.2	0.071	7	28	0.9964	3.28	0.55	9.7	5
7.6	0.55	0.21	2.2	0.071	7	28	0.9964	3.28	0.55	9.7	5
7.8	0.59	0.33	2	0.074	24	120	0.9968	3.25	0.54	9.4	5
7.3	0.58	0.3	2.4	0.074	15	55	0.9968	3.46	0.59	10.2	5
11.5	0.3	0.6	2	0.067	12	27	0.9981	3.11	0.97	10.1	6
5.4	0.835	0.08	1.2	0.046	13	93	0.9924	3.57	0.85	13	7
6.9	1.09	0.06	2.1	0.061	12	31	0.9948	3.51	0.43	11.4	4
9.6	0.32	0.47	1.4	0.056	9	24	0.99695	3.22	0.82	10.3	7
8.8	0.37	0.48	2.1	0.097	39	145	0.9975	3.04	1.03	9.3	5
6.8	0.5	0.11	1.5	0.075	16	49	0.99545	3.36	0.79	9.5	5
7	0.42	0.35	1.6	0.088	16	39	0.9961	3.34	0.55	9.2	5
7	0.43	0.36	1.6	0.089	14	37	0.99615	3.34	0.56	9.2	6
12.8	0.3	0.74	2.6	0.095	9	28	0.9994	3.2	0.77	10.8	7
12.8	0.3	0.74	2.6	0.095	9	28	0.9994	3.2	0.77	10.8	7
7.8	0.57	0.31	1.8	0.069	26	120	0.99625	3.29	0.53	9.3	5
7.8	0.44	0.28	2.7	0.1	18	95	0.9966	3.22	0.67	9.4	5
11	0.3	0.58	2.1	0.054	7	19	0.998	3.31	0.88	10.5	7
9.7	0.53	0.6	2	0.039	5	19	0.99585	3.3	0.86	12.4	6
8	0.725	0.24	2.8	0.083	10	62	0.99685	3.35	0.56	10	6
11.6	0.44	0.64	2.1	0.059	5	15	0.998	3.21	0.67	10.2	6
8.2	0.57	0.26	2.2	0.06	28	65	0.9959	3.3	0.43	10.1	5
7.8	0.735	0.08	2.4	0.092	10	41	0.9974	3.24	0.71	9.8	6
7	0.49	0.49	5.6	0.06	26	121	0.9974	3.34	0.76	10.5	5
8.7	0.625	0.16	2	0.101	13	49	0.9962	3.14	0.57	11	5
8.1	0.725	0.22	2.2	0.072	11	41	0.9967	3.36	0.55	9.1	5
7.5	0.49	0.19	1.9	0.076	10	44	0.9957	3.39	0.54	9.7	5
7.8	0.53	0.33	2.4	0.08	24	144	0.99655	3.3	0.6	9.5	5
7.8	0.34	0.37	2	0.082	24	58	0.9964	3.34	0.59	9.4	6
7.4	0.53	0.26	2	0.101	16	72	0.9957	3.15	0.57	9.4	5
6.8	0.61	0.04	1.5	0.057	5	10	0.99525	3.42	0.6	9.5	5
8.6	0.645	0.25	2	0.083	8	28	0.99815	3.28	0.6	10	6
8.4	0.635	0.36	2	0.089	15	55	0.99745	3.31	0.57	10.4	4
7.7	0.43	0.25	2.6	0.073	29	63	0.99615	3.37	0.58	10.5	6
8.9	0.59	0.5	2	0.337	27	81	0.9964	3.04	1.61	9.5	6
9	0.82	0.14	2.6	0.089	9	23	0.9984	3.39	0.63	9.8	5
7.7	0.43	0.25	2.6	0.073	29	63	0.99615	3.37	0.58	10.5	6
6.9	0.52	0.25	2.6	0.081	10	37	0.99685	3.46	0.5	11	5
5.2	0.48	0.04	1.6	0.054	19	106	0.9927	3.54	0.62	12.2	7
8	0.38	0.06	1.8	0.078	12	49	0.99625	3.37	0.52	9.9	6
8.5	0.37	0.2	2.8	0.09	18	58	0.998	3.34	0.7	9.6	6
6.9	0.52	0.25	2.6	0.081	10	37	0.99685	3.46	0.5	11	5
8.2	1	0.09	2.3	0.065	7	37	0.99685	3.32	0.55	9	6
7.2	0.63	0	1.9	0.097	14	38	0.99675	3.37	0.58	9	6
7.2	0.63	0	1.9	0.097	14	38	0.99675	3.37	0.58	9	6
7.2	0.645	0	1.9	0.097	15	39	0.99675	3.37	0.58	9.2	6
7.2	0.63	0	1.9	0.097	14	38	0.99675	3.37	0.58	9	6
8.2	1	0.09	2.3	0.065	7	37	0.99685	3.32	0.55	9	6
8.9	0.635	0.37	1.7	0.263	5	62	0.9971	3	1.09	9.3	5
12	0.38	0.56	2.1	0.093	6	24	0.99925	3.14	0.71	10.9	6
7.7	0.58	0.1	1.8	0.102	28	109	0.99565	3.08	0.49	9.8	6
15	0.21	0.44	2.2	0.075	10	24	1.00005	3.07	0.84	9.2	7
15	0.21	0.44	2.2	0.075	10	24	1.00005	3.07	0.84	9.2	7
7.3	0.66	0	2	0.084	6	23	0.9983	3.61	0.96	9.9	6
7.1	0.68	0.07	1.9	0.075	16	51	0.99685	3.38	0.52	9.5	5
8.2	0.6	0.17	2.3	0.072	11	73	0.9963	3.2	0.45	9.3	5
7.7	0.53	0.06	1.7	0.074	9	39	0.99615	3.35	0.48	9.8	6
7.3	0.66	0	2	0.084	6	23	0.9983	3.61	0.96	9.9	6
10.8	0.32	0.44	1.6	0.063	16	37	0.9985	3.22	0.78	10	6
7.1	0.6	0	1.8	0.074	16	34	0.9972	3.47	0.7	9.9	6
11.1	0.35	0.48	3.1	0.09	5	21	0.9986	3.17	0.53	10.5	5
7.7	0.775	0.42	1.9	0.092	8	86	0.9959	3.23	0.59	9.5	5
7.1	0.6	0	1.8	0.074	16	34	0.9972	3.47	0.7	9.9	6
8	0.57	0.23	3.2	0.073	17	119	0.99675	3.26	0.57	9.3	5
9.4	0.34	0.37	2.2	0.075	5	13	0.998	3.22	0.62	9.2	5
6.6	0.695	0	2.1	0.075	12	56	0.9968	3.49	0.67	9.2	5
7.7	0.41	0.76	1.8	0.611	8	45	0.9968	3.06	1.26	9.4	5
10	0.31	0.47	2.6	0.085	14	33	0.99965	3.36	0.8	10.5	7
7.9	0.33	0.23	1.7	0.077	18	45	0.99625	3.29	0.65	9.3	5
7	0.975	0.04	2	0.087	12	67	0.99565	3.35	0.6	9.4	4
8	0.52	0.03	1.7	0.07	10	35	0.99575	3.34	0.57	10	5
7.9	0.37	0.23	1.8	0.077	23	49	0.9963	3.28	0.67	9.3	5
12.5	0.56	0.49	2.4	0.064	5	27	0.9999	3.08	0.87	10.9	5
11.8	0.26	0.52	1.8	0.071	6	10	0.9968	3.2	0.72	10.2	7
8.1	0.87	0	3.3	0.096	26	61	1.00025	3.6	0.72	9.8	4
7.9	0.35	0.46	3.6	0.078	15	37	0.9973	3.35	0.86	12.8	8
6.9	0.54	0.04	3	0.077	7	27	0.9987	3.69	0.91	9.4	6
11.5	0.18	0.51	4	0.104	4	23	0.9996	3.28	0.97	10.1	6
7.9	0.545	0.06	4	0.087	27	61	0.9965	3.36	0.67	10.7	6
11.5	0.18	0.51	4	0.104	4	23	0.9996	3.28	0.97	10.1	6
10.9	0.37	0.58	4	0.071	17	65	0.99935	3.22	0.78	10.1	5
8.4	0.715	0.2	2.4	0.076	10	38	0.99735	3.31	0.64	9.4	5
7.5	0.65	0.18	7	0.088	27	94	0.99915	3.38	0.77	9.4	5
7.9	0.545	0.06	4	0.087	27	61	0.9965	3.36	0.67	10.7	6
6.9	0.54	0.04	3	0.077	7	27	0.9987	3.69	0.91	9.4	6
11.5	0.18	0.51	4	0.104	4	23	0.9996	3.28	0.97	10.1	6
10.3	0.32	0.45	6.4	0.073	5	13	0.9976	3.23	0.82	12.6	8
8.9	0.4	0.32	5.6	0.087	10	47	0.9991	3.38	0.77	10.5	7
11.4	0.26	0.44	3.6	0.071	6	19	0.9986	3.12	0.82	9.3	6
7.7	0.27	0.68	3.5	0.358	5	10	0.9972	3.25	1.08	9.9	7
7.6	0.52	0.12	3	0.067	12	53	0.9971	3.36	0.57	9.1	5
8.9	0.4	0.32	5.6	0.087	10	47	0.9991	3.38	0.77	10.5	7
9.9	0.59	0.07	3.4	0.102	32	71	1.00015	3.31	0.71	9.8	5
9.9	0.59	0.07	3.4	0.102	32	71	1.00015	3.31	0.71	9.8	5
12	0.45	0.55	2	0.073	25	49	0.9997	3.1	0.76	10.3	6
7.5	0.4	0.12	3	0.092	29	53	0.9967	3.37	0.7	10.3	6
8.7	0.52	0.09	2.5	0.091	20	49	0.9976	3.34	0.86	10.6	7
11.6	0.42	0.53	3.3	0.105	33	98	1.001	3.2	0.95	9.2	5
8.7	0.52	0.09	2.5	0.091	20	49	0.9976	3.34	0.86	10.6	7
11	0.2	0.48	2	0.343	6	18	0.9979	3.3	0.71	10.5	5
10.4	0.55	0.23	2.7	0.091	18	48	0.9994	3.22	0.64	10.3	6
6.9	0.36	0.25	2.4	0.098	5	16	0.9964	3.41	0.6	10.1	6
13.3	0.34	0.52	3.2	0.094	17	53	1.0014	3.05	0.81	9.5	6
10.8	0.5	0.46	2.5	0.073	5	27	1.0001	3.05	0.64	9.5	5
10.6	0.83	0.37	2.6	0.086	26	70	0.9981	3.16	0.52	9.9	5
7.1	0.63	0.06	2	0.083	8	29	0.99855	3.67	0.73	9.6	5
7.2	0.65	0.02	2.3	0.094	5	31	0.9993	3.67	0.8	9.7	5
6.9	0.67	0.06	2.1	0.08	8	33	0.99845	3.68	0.71	9.6	5
7.5	0.53	0.06	2.6	0.086	20	44	0.9965	3.38	0.59	10.7	6
11.1	0.18	0.48	1.5	0.068	7	15	0.9973	3.22	0.64	10.1	6
8.3	0.705	0.12	2.6	0.092	12	28	0.9994	3.51	0.72	10	5
7.4	0.67	0.12	1.6	0.186	5	21	0.996	3.39	0.54	9.5	5
8.4	0.65	0.6	2.1	0.112	12	90	0.9973	3.2	0.52	9.2	5
10.3	0.53	0.48	2.5	0.063	6	25	0.9998	3.12	0.59	9.3	6
7.6	0.62	0.32	2.2	0.082	7	54	0.9966	3.36	0.52	9.4	5
10.3	0.41	0.42	2.4	0.213	6	14	0.9994	3.19	0.62	9.5	6
10.3	0.43	0.44	2.4	0.214	5	12	0.9994	3.19	0.63	9.5	6
7.4	0.29	0.38	1.7	0.062	9	30	0.9968	3.41	0.53	9.5	6
10.3	0.53	0.48	2.5	0.063	6	25	0.9998	3.12	0.59	9.3	6
7.9	0.53	0.24	2	0.072	15	105	0.996	3.27	0.54	9.4	6
9	0.46	0.31	2.8	0.093	19	98	0.99815	3.32	0.63	9.5	6
8.6	0.47	0.3	3	0.076	30	135	0.9976	3.3	0.53	9.4	5
7.4	0.36	0.29	2.6	0.087	26	72	0.99645	3.39	0.68	11	5
7.1	0.35	0.29	2.5	0.096	20	53	0.9962	3.42	0.65	11	6
9.6	0.56	0.23	3.4	0.102	37	92	0.9996	3.3	0.65	10.1	5
9.6	0.77	0.12	2.9	0.082	30	74	0.99865	3.3	0.64	10.4	6
9.8	0.66	0.39	3.2	0.083	21	59	0.9989	3.37	0.71	11.5	7
9.6	0.77	0.12	2.9	0.082	30	74	0.99865	3.3	0.64	10.4	6
9.8	0.66	0.39	3.2	0.083	21	59	0.9989	3.37	0.71	11.5	7
9.3	0.61	0.26	3.4	0.09	25	87	0.99975	3.24	0.62	9.7	5
7.8	0.62	0.05	2.3	0.079	6	18	0.99735	3.29	0.63	9.3	5
10.3	0.59	0.42	2.8	0.09	35	73	0.999	3.28	0.7	9.5	6
10	0.49	0.2	11	0.071	13	50	1.0015	3.16	0.69	9.2	6
10	0.49	0.2	11	0.071	13	50	1.0015	3.16	0.69	9.2	6
11.6	0.53	0.66	3.65	0.121	6	14	0.9978	3.05	0.74	11.5	7
10.3	0.44	0.5	4.5	0.107	5	13	0.998	3.28	0.83	11.5	5
13.4	0.27	0.62	2.6	0.082	6	21	1.0002	3.16	0.67	9.7	6
10.7	0.46	0.39	2	0.061	7	15	0.9981	3.18	0.62	9.5	5
10.2	0.36	0.64	2.9	0.122	10	41	0.998	3.23	0.66	12.5	6
10.2	0.36	0.64	2.9	0.122	10	41	0.998	3.23	0.66	12.5	6
8	0.58	0.28	3.2	0.066	21	114	0.9973	3.22	0.54	9.4	6
8.4	0.56	0.08	2.1	0.105	16	44	0.9958	3.13	0.52	11	5
7.9	0.65	0.01	2.5	0.078	17	38	0.9963	3.34	0.74	11.7	7
11.9	0.695	0.53	3.4	0.128	7	21	0.9992	3.17	0.84	12.2	7
8.9	0.43	0.45	1.9	0.052	6	16	0.9948	3.35	0.7	12.5	6
7.8	0.43	0.32	2.8	0.08	29	58	0.9974	3.31	0.64	10.3	5
12.4	0.49	0.58	3	0.103	28	99	1.0008	3.16	1	11.5	6
12.5	0.28	0.54	2.3	0.082	12	29	0.9997	3.11	1.36	9.8	7
12.2	0.34	0.5	2.4	0.066	10	21	1	3.12	1.18	9.2	6
10.6	0.42	0.48	2.7	0.065	5	18	0.9972	3.21	0.87	11.3	6
10.9	0.39	0.47	1.8	0.118	6	14	0.9982	3.3	0.75	9.8	6
10.9	0.39	0.47	1.8	0.118	6	14	0.9982	3.3	0.75	9.8	6
11.9	0.57	0.5	2.6	0.082	6	32	1.0006	3.12	0.78	10.7	6
7	0.685	0	1.9	0.067	40	63	0.9979	3.6	0.81	9.9	5
6.6	0.815	0.02	2.7	0.072	17	34	0.9955	3.58	0.89	12.3	7
13.8	0.49	0.67	3	0.093	6	15	0.9986	3.02	0.93	12	6
9.6	0.56	0.31	2.8	0.089	15	46	0.9979	3.11	0.92	10	6
9.1	0.785	0	2.6	0.093	11	28	0.9994	3.36	0.86	9.4	6
10.7	0.67	0.22	2.7	0.107	17	34	1.0004	3.28	0.98	9.9	6
9.1	0.795	0	2.6	0.096	11	26	0.9994	3.35	0.83	9.4	6
7.7	0.665	0	2.4	0.09	8	19	0.9974	3.27	0.73	9.3	5
13.5	0.53	0.79	4.8	0.12	23	77	1.0018	3.18	0.77	13	5
6.1	0.21	0.4	1.4	0.066	40.5	165	0.9912	3.25	0.59	11.9	6
6.7	0.75	0.01	2.4	0.078	17	32	0.9955	3.55	0.61	12.8	6
11.5	0.41	0.52	3	0.08	29	55	1.0001	3.26	0.88	11	5
10.5	0.42	0.66	2.95	0.116	12	29	0.997	3.24	0.75	11.7	7
11.9	0.43	0.66	3.1	0.109	10	23	1	3.15	0.85	10.4	7
12.6	0.38	0.66	2.6	0.088	10	41	1.001	3.17	0.68	9.8	6
8.2	0.7	0.23	2	0.099	14	81	0.9973	3.19	0.7	9.4	5
8.6	0.45	0.31	2.6	0.086	21	50	0.9982	3.37	0.91	9.9	6
11.9	0.58	0.66	2.5	0.072	6	37	0.9992	3.05	0.56	10	5
12.5	0.46	0.63	2	0.071	6	15	0.9988	2.99	0.87	10.2	5
12.8	0.615	0.66	5.8	0.083	7	42	1.0022	3.07	0.73	10	7
10	0.42	0.5	3.4	0.107	7	21	0.9979	3.26	0.93	11.8	6
12.8	0.615	0.66	5.8	0.083	7	42	1.0022	3.07	0.73	10	7
10.4	0.575	0.61	2.6	0.076	11	24	1	3.16	0.69	9	5
10.3	0.34	0.52	2.8	0.159	15	75	0.9998	3.18	0.64	9.4	5
9.4	0.27	0.53	2.4	0.074	6	18	0.9962	3.2	1.13	12	7
6.9	0.765	0.02	2.3	0.063	35	63	0.9975	3.57	0.78	9.9	5
7.9	0.24	0.4	1.6	0.056	11	25	0.9967	3.32	0.87	8.7	6
9.1	0.28	0.48	1.8	0.067	26	46	0.9967	3.32	1.04	10.6	6
7.4	0.55	0.22	2.2	0.106	12	72	0.9959	3.05	0.63	9.2	5
14	0.41	0.63	3.8	0.089	6	47	1.0014	3.01	0.81	10.8	6
11.5	0.54	0.71	4.4	0.124	6	15	0.9984	3.01	0.83	11.8	7
11.5	0.45	0.5	3	0.078	19	47	1.0003	3.26	1.11	11	6
9.4	0.27	0.53	2.4	0.074	6	18	0.9962	3.2	1.13	12	7
11.4	0.625	0.66	6.2	0.088	6	24	0.9988	3.11	0.99	13.3	6
8.3	0.42	0.38	2.5	0.094	24	60	0.9979	3.31	0.7	10.8	6
8.3	0.26	0.42	2	0.08	11	27	0.9974	3.21	0.8	9.4	6
13.7	0.415	0.68	2.9	0.085	17	43	1.0014	3.06	0.8	10	6
8.3	0.26	0.42	2	0.08	11	27	0.9974	3.21	0.8	9.4	6
8.3	0.26	0.42	2	0.08	11	27	0.9974	3.21	0.8	9.4	6
7.7	0.51	0.28	2.1	0.087	23	54	0.998	3.42	0.74	9.2	5
7.4	0.63	0.07	2.4	0.09	11	37	0.9979	3.43	0.76	9.7	6
7.8	0.54	0.26	2	0.088	23	48	0.9981	3.41	0.74	9.2	6
8.3	0.66	0.15	1.9	0.079	17	42	0.9972	3.31	0.54	9.6	6
7.8	0.46	0.26	1.9	0.088	23	53	0.9981	3.43	0.74	9.2	6
9.6	0.38	0.31	2.5	0.096	16	49	0.9982	3.19	0.7	10	7
5.6	0.85	0.05	1.4	0.045	12	88	0.9924	3.56	0.82	12.9	8
13.7	0.415	0.68	2.9	0.085	17	43	1.0014	3.06	0.8	10	6
9.5	0.37	0.52	2	0.082	6	26	0.998	3.18	0.51	9.5	5
8.4	0.665	0.61	2	0.112	13	95	0.997	3.16	0.54	9.1	5
12.7	0.6	0.65	2.3	0.063	6	25	0.9997	3.03	0.57	9.9	5
12	0.37	0.76	4.2	0.066	7	38	1.0004	3.22	0.6	13	7
6.6	0.735	0.02	7.9	0.122	68	124	0.9994	3.47	0.53	9.9	5
11.5	0.59	0.59	2.6	0.087	13	49	0.9988	3.18	0.65	11	6
11.5	0.59	0.59	2.6	0.087	13	49	0.9988	3.18	0.65	11	6
8.7	0.765	0.22	2.3	0.064	9	42	0.9963	3.1	0.55	9.4	5
6.6	0.735	0.02	7.9	0.122	68	124	0.9994	3.47	0.53	9.9	5
7.7	0.26	0.3	1.7	0.059	20	38	0.9949	3.29	0.47	10.8	6
12.2	0.48	0.54	2.6	0.085	19	64	1	3.1	0.61	10.5	6
11.4	0.6	0.49	2.7	0.085	10	41	0.9994	3.15	0.63	10.5	6
7.7	0.69	0.05	2.7	0.075	15	27	0.9974	3.26	0.61	9.1	5
8.7	0.31	0.46	1.4	0.059	11	25	0.9966	3.36	0.76	10.1	6
9.8	0.44	0.47	2.5	0.063	9	28	0.9981	3.24	0.65	10.8	6
12	0.39	0.66	3	0.093	12	30	0.9996	3.18	0.63	10.8	7
10.4	0.34	0.58	3.7	0.174	6	16	0.997	3.19	0.7	11.3	6
12.5	0.46	0.49	4.5	0.07	26	49	0.9981	3.05	0.57	9.6	4
9	0.43	0.34	2.5	0.08	26	86	0.9987	3.38	0.62	9.5	6
9.1	0.45	0.35	2.4	0.08	23	78	0.9987	3.38	0.62	9.5	5
7.1	0.735	0.16	1.9	0.1	15	77	0.9966	3.27	0.64	9.3	5
9.9	0.4	0.53	6.7	0.097	6	19	0.9986	3.27	0.82	11.7	7
8.8	0.52	0.34	2.7	0.087	24	122	0.9982	3.26	0.61	9.5	5
8.6	0.725	0.24	6.6	0.117	31	134	1.0014	3.32	1.07	9.3	5
10.6	0.48	0.64	2.2	0.111	6	20	0.997	3.26	0.66	11.7	6
7	0.58	0.12	1.9	0.091	34	124	0.9956	3.44	0.48	10.5	5
11.9	0.38	0.51	2	0.121	7	20	0.9996	3.24	0.76	10.4	6
6.8	0.77	0	1.8	0.066	34	52	0.9976	3.62	0.68	9.9	5
9.5	0.56	0.33	2.4	0.089	35	67	0.9972	3.28	0.73	11.8	7
6.6	0.84	0.03	2.3	0.059	32	48	0.9952	3.52	0.56	12.3	7
7.7	0.96	0.2	2	0.047	15	60	0.9955	3.36	0.44	10.9	5
10.5	0.24	0.47	2.1	0.066	6	24	0.9978	3.15	0.9	11	7
7.7	0.96	0.2	2	0.047	15	60	0.9955	3.36	0.44	10.9	5
6.6	0.84	0.03	2.3	0.059	32	48	0.9952	3.52	0.56	12.3	7
6.4	0.67	0.08	2.1	0.045	19	48	0.9949	3.49	0.49	11.4	6
9.5	0.78	0.22	1.9	0.077	6	32	0.9988	3.26	0.56	10.6	6
9.1	0.52	0.33	1.3	0.07	9	30	0.9978	3.24	0.6	9.3	5
12.8	0.84	0.63	2.4	0.088	13	35	0.9997	3.1	0.6	10.4	6
10.5	0.24	0.47	2.1	0.066	6	24	0.9978	3.15	0.9	11	7
7.8	0.55	0.35	2.2	0.074	21	66	0.9974	3.25	0.56	9.2	5
11.9	0.37	0.69	2.3	0.078	12	24	0.9958	3	0.65	12.8	6
12.3	0.39	0.63	2.3	0.091	6	18	1.0004	3.16	0.49	9.5	5
10.4	0.41	0.55	3.2	0.076	22	54	0.9996	3.15	0.89	9.9	6
12.3	0.39	0.63	2.3	0.091	6	18	1.0004	3.16	0.49	9.5	5
8	0.67	0.3	2	0.06	38	62	0.9958	3.26	0.56	10.2	6
11.1	0.45	0.73	3.2	0.066	6	22	0.9986	3.17	0.66	11.2	6
10.4	0.41	0.55	3.2	0.076	22	54	0.9996	3.15	0.89	9.9	6
7	0.62	0.18	1.5	0.062	7	50	0.9951	3.08	0.6	9.3	5
12.6	0.31	0.72	2.2	0.072	6	29	0.9987	2.88	0.82	9.8	8
11.9	0.4	0.65	2.15	0.068	7	27	0.9988	3.06	0.68	11.3	6
15.6	0.685	0.76	3.7	0.1	6	43	1.0032	2.95	0.68	11.2	7
10	0.44	0.49	2.7	0.077	11	19	0.9963	3.23	0.63	11.6	7
5.3	0.57	0.01	1.7	0.054	5	27	0.9934	3.57	0.84	12.5	7
9.5	0.735	0.1	2.1	0.079	6	31	0.9986	3.23	0.56	10.1	6
12.5	0.38	0.6	2.6	0.081	31	72	0.9996	3.1	0.73	10.5	5
9.3	0.48	0.29	2.1	0.127	6	16	0.9968	3.22	0.72	11.2	5
8.6	0.53	0.22	2	0.1	7	27	0.9967	3.2	0.56	10.2	6
11.9	0.39	0.69	2.8	0.095	17	35	0.9994	3.1	0.61	10.8	6
11.9	0.39	0.69	2.8	0.095	17	35	0.9994	3.1	0.61	10.8	6
8.4	0.37	0.53	1.8	0.413	9	26	0.9979	3.06	1.06	9.1	6
6.8	0.56	0.03	1.7	0.084	18	35	0.9968	3.44	0.63	10	6
10.4	0.33	0.63	2.8	0.084	5	22	0.9998	3.26	0.74	11.2	7
7	0.23	0.4	1.6	0.063	21	67	0.9952	3.5	0.63	11.1	5
11.3	0.62	0.67	5.2	0.086	6	19	0.9988	3.22	0.69	13.4	8
8.9	0.59	0.39	2.3	0.095	5	22	0.9986	3.37	0.58	10.3	5
9.2	0.63	0.21	2.7	0.097	29	65	0.9988	3.28	0.58	9.6	5
10.4	0.33	0.63	2.8	0.084	5	22	0.9998	3.26	0.74	11.2	7
11.6	0.58	0.66	2.2	0.074	10	47	1.0008	3.25	0.57	9	3
9.2	0.43	0.52	2.3	0.083	14	23	0.9976	3.35	0.61	11.3	6
8.3	0.615	0.22	2.6	0.087	6	19	0.9982	3.26	0.61	9.3	5
11	0.26	0.68	2.55	0.085	10	25	0.997	3.18	0.61	11.8	5
8.1	0.66	0.7	2.2	0.098	25	129	0.9972	3.08	0.53	9	5
11.5	0.315	0.54	2.1	0.084	5	15	0.9987	2.98	0.7	9.2	6
10	0.29	0.4	2.9	0.098	10	26	1.0006	3.48	0.91	9.7	5
10.3	0.5	0.42	2	0.069	21	51	0.9982	3.16	0.72	11.5	6
8.8	0.46	0.45	2.6	0.065	7	18	0.9947	3.32	0.79	14	6
11.4	0.36	0.69	2.1	0.09	6	21	1	3.17	0.62	9.2	6
8.7	0.82	0.02	1.2	0.07	36	48	0.9952	3.2	0.58	9.8	5
13	0.32	0.65	2.6	0.093	15	47	0.9996	3.05	0.61	10.6	5
9.6	0.54	0.42	2.4	0.081	25	52	0.997	3.2	0.71	11.4	6
12.5	0.37	0.55	2.6	0.083	25	68	0.9995	3.15	0.82	10.4	6
9.9	0.35	0.55	2.1	0.062	5	14	0.9971	3.26	0.79	10.6	5
10.5	0.28	0.51	1.7	0.08	10	24	0.9982	3.2	0.89	9.4	6
9.6	0.68	0.24	2.2	0.087	5	28	0.9988	3.14	0.6	10.2	5
9.3	0.27	0.41	2	0.091	6	16	0.998	3.28	0.7	9.7	5
10.4	0.24	0.49	1.8	0.075	6	20	0.9977	3.18	1.06	11	6
9.6	0.68	0.24	2.2	0.087	5	28	0.9988	3.14	0.6	10.2	5
9.4	0.685	0.11	2.7	0.077	6	31	0.9984	3.19	0.7	10.1	6
10.6	0.28	0.39	15.5	0.069	6	23	1.0026	3.12	0.66	9.2	5
9.4	0.3	0.56	2.8	0.08	6	17	0.9964	3.15	0.92	11.7	8
10.6	0.36	0.59	2.2	0.152	6	18	0.9986	3.04	1.05	9.4	5
10.6	0.36	0.6	2.2	0.152	7	18	0.9986	3.04	1.06	9.4	5
10.6	0.44	0.68	4.1	0.114	6	24	0.997	3.06	0.66	13.4	6
10.2	0.67	0.39	1.9	0.054	6	17	0.9976	3.17	0.47	10	5
10.2	0.67	0.39	1.9	0.054	6	17	0.9976	3.17	0.47	10	5
10.2	0.645	0.36	1.8	0.053	5	14	0.9982	3.17	0.42	10	6
11.6	0.32	0.55	2.8	0.081	35	67	1.0002	3.32	0.92	10.8	7
9.3	0.39	0.4	2.6	0.073	10	26	0.9984	3.34	0.75	10.2	6
9.3	0.775	0.27	2.8	0.078	24	56	0.9984	3.31	0.67	10.6	6
9.2	0.41	0.5	2.5	0.055	12	25	0.9952	3.34	0.79	13.3	7
8.9	0.4	0.51	2.6	0.052	13	27	0.995	3.32	0.9	13.4	7
8.7	0.69	0.31	3	0.086	23	81	1.0002	3.48	0.74	11.6	6
6.5	0.39	0.23	8.3	0.051	28	91	0.9952	3.44	0.55	12.1	6
10.7	0.35	0.53	2.6	0.07	5	16	0.9972	3.15	0.65	11	8
7.8	0.52	0.25	1.9	0.081	14	38	0.9984	3.43	0.65	9	6
7.2	0.34	0.32	2.5	0.09	43	113	0.9966	3.32	0.79	11.1	5
10.7	0.35	0.53	2.6	0.07	5	16	0.9972	3.15	0.65	11	8
8.7	0.69	0.31	3	0.086	23	81	1.0002	3.48	0.74	11.6	6

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	20 seconds
R Server	'Gwilym Jenkins' @ jenkins.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 20 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154410&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]20 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=154410&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154410&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	20 seconds
R Server	'Gwilym Jenkins' @ jenkins.wessa.net

Goodness of Fit
Correlation	0.6222
R-squared	0.3872
RMSE	0.6175

\begin{tabular}{lllllllll}
\hline
Goodness of Fit \tabularnewline
Correlation & 0.6222 \tabularnewline
R-squared & 0.3872 \tabularnewline
RMSE & 0.6175 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154410&T=1

[TABLE]
[ROW][C]Goodness of Fit[/C][/ROW]
[ROW][C]Correlation[/C][C]0.6222[/C][/ROW]
[ROW][C]R-squared[/C][C]0.3872[/C][/ROW]
[ROW][C]RMSE[/C][C]0.6175[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=154410&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154410&T=1

As an alternative you can also use a QR Code:

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

Goodness of Fit
Correlation	0.6222
R-squared	0.3872
RMSE	0.6175

Actuals, Predictions, and Residuals
#	Actuals	Forecasts	Residuals
1	5	5.09701492537313	-0.0970149253731343
2	5	5.09701492537313	-0.0970149253731343
3	5	5.09701492537313	-0.0970149253731343
4	6	6.30769230769231	-0.307692307692307
5	5	5.09701492537313	-0.0970149253731343
6	5	5.09701492537313	-0.0970149253731343
7	5	5.09701492537313	-0.0970149253731343
8	7	5.390625	1.609375
9	7	5.09701492537313	1.90298507462687
10	5	5	0
11	5	5.09701492537313	-0.0970149253731343
12	5	5	0
13	5	5.390625	-0.390625
14	5	5.09701492537313	-0.0970149253731343
15	5	5.09701492537313	-0.0970149253731343
16	5	5.09701492537313	-0.0970149253731343
17	7	5.90196078431373	1.09803921568627
18	5	5.09701492537313	-0.0970149253731343
19	4	5.09701492537313	-1.09701492537313
20	6	5.37864077669903	0.621359223300971
21	6	5.44444444444444	0.555555555555555
22	5	5.37864077669903	-0.378640776699029
23	5	5.37864077669903	-0.378640776699029
24	5	5.37864077669903	-0.378640776699029
25	6	5.37864077669903	0.621359223300971
26	5	5.37864077669903	-0.378640776699029
27	5	5.37864077669903	-0.378640776699029
28	5	5.37864077669903	-0.378640776699029
29	5	5.09701492537313	-0.0970149253731343
30	6	5.09701492537313	0.902985074626866
31	5	5.390625	-0.390625
32	6	5.390625	0.609375
33	5	5.09701492537313	-0.0970149253731343
34	6	5.09701492537313	0.902985074626866
35	5	5.37864077669903	-0.378640776699029
36	6	5.09701492537313	0.902985074626866
37	6	5.97916666666667	0.020833333333333
38	7	5.37864077669903	1.62135922330097
39	4	5.09701492537313	-1.09701492537313
40	5	5	0
41	5	5	0
42	4	5.09701492537313	-1.09701492537313
43	6	6.51470588235294	-0.514705882352941
44	5	5.97916666666667	-0.979166666666667
45	5	5.09701492537313	-0.0970149253731343
46	4	5.390625	-1.390625
47	5	5.09701492537313	-0.0970149253731343
48	5	5.44444444444444	-0.444444444444445
49	5	5.37864077669903	-0.378640776699029
50	5	5.44444444444444	-0.444444444444445
51	5	5.09701492537313	-0.0970149253731343
52	6	5.37864077669903	0.621359223300971
53	6	5.37864077669903	0.621359223300971
54	5	5.37864077669903	-0.378640776699029
55	6	5.90196078431373	0.0980392156862742
56	5	5.09701492537313	-0.0970149253731343
57	5	5.37864077669903	-0.378640776699029
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407	6	6.51470588235294	-0.514705882352941
408	7	6.51470588235294	0.485294117647059
409	6	6.51470588235294	-0.514705882352941
410	4	5.37864077669903	-1.37864077669903
411	6	5.37864077669903	0.621359223300971
412	5	5.37864077669903	-0.378640776699029
413	5	5.09701492537313	-0.0970149253731343
414	7	6.51470588235294	0.485294117647059
415	5	5.37864077669903	-0.378640776699029
416	5	5.09701492537313	-0.0970149253731343
417	6	5.97916666666667	0.020833333333333
418	5	5.390625	-0.390625
419	6	5.97916666666667	0.020833333333333
420	5	5.90196078431373	-0.901960784313726
421	7	5.90196078431373	1.09803921568627
422	7	5.390625	1.609375
423	5	5.390625	-0.390625
424	7	5.97916666666667	1.02083333333333
425	5	5.390625	-0.390625
426	7	5.390625	1.609375
427	6	5.390625	0.609375
428	6	5.390625	0.609375
429	5	5.37864077669903	-0.378640776699029
430	6	5.97916666666667	0.020833333333333
431	7	5.97916666666667	1.02083333333333
432	5	5.09701492537313	-0.0970149253731343
433	6	5.97916666666667	0.020833333333333
434	5	5.37864077669903	-0.378640776699029
435	6	5.90196078431373	0.0980392156862742
436	5	5.37864077669903	-0.378640776699029
437	6	5.390625	0.609375
438	6	6.51470588235294	-0.514705882352941
439	6	5.90196078431373	0.0980392156862742
440	5	5.09701492537313	-0.0970149253731343
441	8	6.30769230769231	1.69230769230769
442	6	5.97916666666667	0.020833333333333
443	7	6.51470588235294	0.485294117647059
444	7	6.51470588235294	0.485294117647059
445	7	5.97916666666667	1.02083333333333
446	6	5.390625	0.609375
447	5	5.90196078431373	-0.901960784313726
448	5	5.97916666666667	-0.979166666666667
449	6	5.390625	0.609375
450	6	6.51470588235294	-0.514705882352941
451	6	6.51470588235294	-0.514705882352941
452	6	5.37864077669903	0.621359223300971
453	6	5.97916666666667	0.020833333333333
454	7	6.51470588235294	0.485294117647059
455	5	5.90196078431373	-0.901960784313726
456	8	6.51470588235294	1.48529411764706
457	5	5.390625	-0.390625
458	5	5.09701492537313	-0.0970149253731343
459	7	6.51470588235294	0.485294117647059
460	3	5.09701492537313	-2.09701492537313
461	6	5.97916666666667	0.020833333333333
462	5	5.09701492537313	-0.0970149253731343
463	5	6.51470588235294	-1.51470588235294
464	5	5.09701492537313	-0.0970149253731343
465	6	6.30769230769231	-0.307692307692307
466	5	5.44444444444444	-0.444444444444445
467	6	5.90196078431373	0.0980392156862742
468	6	6.51470588235294	-0.514705882352941
469	6	5.37864077669903	0.621359223300971
470	5	5.09701492537313	-0.0970149253731343
471	5	6.51470588235294	-1.51470588235294
472	6	5.90196078431373	0.0980392156862742
473	6	5.90196078431373	0.0980392156862742
474	5	5.97916666666667	-0.979166666666667
475	6	6.30769230769231	-0.307692307692307
476	5	5.97916666666667	-0.979166666666667
477	5	5.44444444444444	-0.444444444444445
478	6	5.97916666666667	0.020833333333333
479	5	5.97916666666667	-0.979166666666667
480	6	6.51470588235294	-0.514705882352941
481	5	6.30769230769231	-1.30769230769231
482	8	6.51470588235294	1.48529411764706
483	5	5.37864077669903	-0.378640776699029
484	5	5.37864077669903	-0.378640776699029
485	6	6.51470588235294	-0.514705882352941
486	5	5.390625	-0.390625
487	5	5.390625	-0.390625
488	6	5.390625	0.609375
489	7	5.90196078431373	1.09803921568627
490	6	6.51470588235294	-0.514705882352941
491	6	5.90196078431373	0.0980392156862742
492	7	6.51470588235294	0.485294117647059
493	7	6.51470588235294	0.485294117647059
494	6	5.90196078431373	0.0980392156862742
495	6	5.390625	0.609375
496	8	6.51470588235294	1.48529411764706
497	6	5.37864077669903	0.621359223300971
498	5	5.90196078431373	-0.901960784313726
499	8	6.51470588235294	1.48529411764706
500	6	5.90196078431373	0.0980392156862742

\begin{tabular}{lllllllll}
\hline
Actuals, Predictions, and Residuals \tabularnewline
# & Actuals & Forecasts & Residuals \tabularnewline
1 & 5 & 5.09701492537313 & -0.0970149253731343 \tabularnewline
2 & 5 & 5.09701492537313 & -0.0970149253731343 \tabularnewline
3 & 5 & 5.09701492537313 & -0.0970149253731343 \tabularnewline
4 & 6 & 6.30769230769231 & -0.307692307692307 \tabularnewline
5 & 5 & 5.09701492537313 & -0.0970149253731343 \tabularnewline
6 & 5 & 5.09701492537313 & -0.0970149253731343 \tabularnewline
7 & 5 & 5.09701492537313 & -0.0970149253731343 \tabularnewline
8 & 7 & 5.390625 & 1.609375 \tabularnewline
9 & 7 & 5.09701492537313 & 1.90298507462687 \tabularnewline
10 & 5 & 5 & 0 \tabularnewline
11 & 5 & 5.09701492537313 & -0.0970149253731343 \tabularnewline
12 & 5 & 5 & 0 \tabularnewline
13 & 5 & 5.390625 & -0.390625 \tabularnewline
14 & 5 & 5.09701492537313 & -0.0970149253731343 \tabularnewline
15 & 5 & 5.09701492537313 & -0.0970149253731343 \tabularnewline
16 & 5 & 5.09701492537313 & -0.0970149253731343 \tabularnewline
17 & 7 & 5.90196078431373 & 1.09803921568627 \tabularnewline
18 & 5 & 5.09701492537313 & -0.0970149253731343 \tabularnewline
19 & 4 & 5.09701492537313 & -1.09701492537313 \tabularnewline
20 & 6 & 5.37864077669903 & 0.621359223300971 \tabularnewline
21 & 6 & 5.44444444444444 & 0.555555555555555 \tabularnewline
22 & 5 & 5.37864077669903 & -0.378640776699029 \tabularnewline
23 & 5 & 5.37864077669903 & -0.378640776699029 \tabularnewline
24 & 5 & 5.37864077669903 & -0.378640776699029 \tabularnewline
25 & 6 & 5.37864077669903 & 0.621359223300971 \tabularnewline
26 & 5 & 5.37864077669903 & -0.378640776699029 \tabularnewline
27 & 5 & 5.37864077669903 & -0.378640776699029 \tabularnewline
28 & 5 & 5.37864077669903 & -0.378640776699029 \tabularnewline
29 & 5 & 5.09701492537313 & -0.0970149253731343 \tabularnewline
30 & 6 & 5.09701492537313 & 0.902985074626866 \tabularnewline
31 & 5 & 5.390625 & -0.390625 \tabularnewline
32 & 6 & 5.390625 & 0.609375 \tabularnewline
33 & 5 & 5.09701492537313 & -0.0970149253731343 \tabularnewline
34 & 6 & 5.09701492537313 & 0.902985074626866 \tabularnewline
35 & 5 & 5.37864077669903 & -0.378640776699029 \tabularnewline
36 & 6 & 5.09701492537313 & 0.902985074626866 \tabularnewline
37 & 6 & 5.97916666666667 & 0.020833333333333 \tabularnewline
38 & 7 & 5.37864077669903 & 1.62135922330097 \tabularnewline
39 & 4 & 5.09701492537313 & -1.09701492537313 \tabularnewline
40 & 5 & 5 & 0 \tabularnewline
41 & 5 & 5 & 0 \tabularnewline
42 & 4 & 5.09701492537313 & -1.09701492537313 \tabularnewline
43 & 6 & 6.51470588235294 & -0.514705882352941 \tabularnewline
44 & 5 & 5.97916666666667 & -0.979166666666667 \tabularnewline
45 & 5 & 5.09701492537313 & -0.0970149253731343 \tabularnewline
46 & 4 & 5.390625 & -1.390625 \tabularnewline
47 & 5 & 5.09701492537313 & -0.0970149253731343 \tabularnewline
48 & 5 & 5.44444444444444 & -0.444444444444445 \tabularnewline
49 & 5 & 5.37864077669903 & -0.378640776699029 \tabularnewline
50 & 5 & 5.44444444444444 & -0.444444444444445 \tabularnewline
51 & 5 & 5.09701492537313 & -0.0970149253731343 \tabularnewline
52 & 6 & 5.37864077669903 & 0.621359223300971 \tabularnewline
53 & 6 & 5.37864077669903 & 0.621359223300971 \tabularnewline
54 & 5 & 5.37864077669903 & -0.378640776699029 \tabularnewline
55 & 6 & 5.90196078431373 & 0.0980392156862742 \tabularnewline
56 & 5 & 5.09701492537313 & -0.0970149253731343 \tabularnewline
57 & 5 & 5.37864077669903 & -0.378640776699029 \tabularnewline
58 & 5 & 5.09701492537313 & -0.0970149253731343 \tabularnewline
59 & 5 & 5.390625 & -0.390625 \tabularnewline
60 & 6 & 5.37864077669903 & 0.621359223300971 \tabularnewline
61 & 5 & 5.37864077669903 & -0.378640776699029 \tabularnewline
62 & 5 & 5.09701492537313 & -0.0970149253731343 \tabularnewline
63 & 7 & 5.37864077669903 & 1.62135922330097 \tabularnewline
64 & 5 & 5.09701492537313 & -0.0970149253731343 \tabularnewline
65 & 5 & 5.390625 & -0.390625 \tabularnewline
66 & 5 & 5.390625 & -0.390625 \tabularnewline
67 & 5 & 5.37864077669903 & -0.378640776699029 \tabularnewline
68 & 5 & 5.390625 & -0.390625 \tabularnewline
69 & 5 & 5.90196078431373 & -0.901960784313726 \tabularnewline
70 & 6 & 5.97916666666667 & 0.020833333333333 \tabularnewline
71 & 6 & 5.09701492537313 & 0.902985074626866 \tabularnewline
72 & 5 & 5.09701492537313 & -0.0970149253731343 \tabularnewline
73 & 5 & 5.09701492537313 & -0.0970149253731343 \tabularnewline
74 & 4 & 5.09701492537313 & -1.09701492537313 \tabularnewline
75 & 5 & 5.37864077669903 & -0.378640776699029 \tabularnewline
76 & 5 & 5.97916666666667 & -0.979166666666667 \tabularnewline
77 & 5 & 5.97916666666667 & -0.979166666666667 \tabularnewline
78 & 6 & 5.390625 & 0.609375 \tabularnewline
79 & 5 & 5.390625 & -0.390625 \tabularnewline
80 & 4 & 5.09701492537313 & -1.09701492537313 \tabularnewline
81 & 5 & 5.37864077669903 & -0.378640776699029 \tabularnewline
82 & 5 & 5.37864077669903 & -0.378640776699029 \tabularnewline
83 & 5 & 5.37864077669903 & -0.378640776699029 \tabularnewline
84 & 5 & 5.09701492537313 & -0.0970149253731343 \tabularnewline
85 & 6 & 5.90196078431373 & 0.0980392156862742 \tabularnewline
86 & 5 & 5.390625 & -0.390625 \tabularnewline
87 & 6 & 5.90196078431373 & 0.0980392156862742 \tabularnewline
88 & 5 & 5.37864077669903 & -0.378640776699029 \tabularnewline
89 & 5 & 5.37864077669903 & -0.378640776699029 \tabularnewline
90 & 5 & 5.09701492537313 & -0.0970149253731343 \tabularnewline
91 & 5 & 5.37864077669903 & -0.378640776699029 \tabularnewline
92 & 6 & 5.90196078431373 & 0.0980392156862742 \tabularnewline
93 & 5 & 5.37864077669903 & -0.378640776699029 \tabularnewline
94 & 5 & 5.37864077669903 & -0.378640776699029 \tabularnewline
95 & 4 & 5.390625 & -1.390625 \tabularnewline
96 & 6 & 5.90196078431373 & 0.0980392156862742 \tabularnewline
97 & 5 & 5.390625 & -0.390625 \tabularnewline
98 & 5 & 5.37864077669903 & -0.378640776699029 \tabularnewline
99 & 5 & 5.09701492537313 & -0.0970149253731343 \tabularnewline
100 & 6 & 5.37864077669903 & 0.621359223300971 \tabularnewline
101 & 6 & 5.90196078431373 & 0.0980392156862742 \tabularnewline
102 & 6 & 5.390625 & 0.609375 \tabularnewline
103 & 6 & 5.37864077669903 & 0.621359223300971 \tabularnewline
104 & 5 & 5.09701492537313 & -0.0970149253731343 \tabularnewline
105 & 5 & 5.37864077669903 & -0.378640776699029 \tabularnewline
106 & 5 & 5.09701492537313 & -0.0970149253731343 \tabularnewline
107 & 5 & 5.37864077669903 & -0.378640776699029 \tabularnewline
108 & 5 & 5.09701492537313 & -0.0970149253731343 \tabularnewline
109 & 6 & 5.37864077669903 & 0.621359223300971 \tabularnewline
110 & 5 & 5.09701492537313 & -0.0970149253731343 \tabularnewline
111 & 5 & 5.09701492537313 & -0.0970149253731343 \tabularnewline
112 & 5 & 5.09701492537313 & -0.0970149253731343 \tabularnewline
113 & 5 & 5.09701492537313 & -0.0970149253731343 \tabularnewline
114 & 6 & 5.44444444444444 & 0.555555555555555 \tabularnewline
115 & 5 & 5.09701492537313 & -0.0970149253731343 \tabularnewline
116 & 6 & 5.90196078431373 & 0.0980392156862742 \tabularnewline
117 & 6 & 5.97916666666667 & 0.020833333333333 \tabularnewline
118 & 6 & 5.09701492537313 & 0.902985074626866 \tabularnewline
119 & 6 & 5.90196078431373 & 0.0980392156862742 \tabularnewline
120 & 6 & 5.09701492537313 & 0.902985074626866 \tabularnewline
121 & 5 & 5.09701492537313 & -0.0970149253731343 \tabularnewline
122 & 6 & 5.90196078431373 & 0.0980392156862742 \tabularnewline
123 & 5 & 5.09701492537313 & -0.0970149253731343 \tabularnewline
124 & 5 & 5.09701492537313 & -0.0970149253731343 \tabularnewline
125 & 5 & 5.37864077669903 & -0.378640776699029 \tabularnewline
126 & 5 & 5.09701492537313 & -0.0970149253731343 \tabularnewline
127 & 5 & 5.390625 & -0.390625 \tabularnewline
128 & 5 & 5.390625 & -0.390625 \tabularnewline
129 & 7 & 5.97916666666667 & 1.02083333333333 \tabularnewline
130 & 5 & 5.37864077669903 & -0.378640776699029 \tabularnewline
131 & 5 & 5.09701492537313 & -0.0970149253731343 \tabularnewline
132 & 5 & 5.90196078431373 & -0.901960784313726 \tabularnewline
133 & 5 & 5.90196078431373 & -0.901960784313726 \tabularnewline
134 & 6 & 5.37864077669903 & 0.621359223300971 \tabularnewline
135 & 6 & 5.390625 & 0.609375 \tabularnewline
136 & 5 & 5.09701492537313 & -0.0970149253731343 \tabularnewline
137 & 5 & 5.09701492537313 & -0.0970149253731343 \tabularnewline
138 & 5 & 5.37864077669903 & -0.378640776699029 \tabularnewline
139 & 5 & 5.09701492537313 & -0.0970149253731343 \tabularnewline
140 & 5 & 5.09701492537313 & -0.0970149253731343 \tabularnewline
141 & 5 & 5.09701492537313 & -0.0970149253731343 \tabularnewline
142 & 5 & 5.09701492537313 & -0.0970149253731343 \tabularnewline
143 & 6 & 5.90196078431373 & 0.0980392156862742 \tabularnewline
144 & 5 & 5.37864077669903 & -0.378640776699029 \tabularnewline
145 & 6 & 5.90196078431373 & 0.0980392156862742 \tabularnewline
146 & 5 & 5.09701492537313 & -0.0970149253731343 \tabularnewline
147 & 5 & 5.390625 & -0.390625 \tabularnewline
148 & 5 & 5.37864077669903 & -0.378640776699029 \tabularnewline
149 & 6 & 5.390625 & 0.609375 \tabularnewline
150 & 6 & 6.51470588235294 & -0.514705882352941 \tabularnewline
151 & 6 & 5.390625 & 0.609375 \tabularnewline
152 & 4 & 5.37864077669903 & -1.37864077669903 \tabularnewline
153 & 5 & 5.390625 & -0.390625 \tabularnewline
154 & 5 & 5.390625 & -0.390625 \tabularnewline
155 & 5 & 5 & 0 \tabularnewline
156 & 5 & 5 & 0 \tabularnewline
157 & 5 & 5 & 0 \tabularnewline
158 & 5 & 5 & 0 \tabularnewline
159 & 5 & 5.09701492537313 & -0.0970149253731343 \tabularnewline
160 & 6 & 5.09701492537313 & 0.902985074626866 \tabularnewline
161 & 5 & 5.09701492537313 & -0.0970149253731343 \tabularnewline
162 & 4 & 5.09701492537313 & -1.09701492537313 \tabularnewline
163 & 6 & 5.390625 & 0.609375 \tabularnewline
164 & 5 & 5.09701492537313 & -0.0970149253731343 \tabularnewline
165 & 5 & 5.09701492537313 & -0.0970149253731343 \tabularnewline
166 & 5 & 5.09701492537313 & -0.0970149253731343 \tabularnewline
167 & 5 & 5.390625 & -0.390625 \tabularnewline
168 & 4 & 5.09701492537313 & -1.09701492537313 \tabularnewline
169 & 6 & 5.390625 & 0.609375 \tabularnewline
170 & 5 & 5.09701492537313 & -0.0970149253731343 \tabularnewline
171 & 4 & 5.09701492537313 & -1.09701492537313 \tabularnewline
172 & 6 & 5.37864077669903 & 0.621359223300971 \tabularnewline
173 & 6 & 5.37864077669903 & 0.621359223300971 \tabularnewline
174 & 6 & 5.390625 & 0.609375 \tabularnewline
175 & 5 & 5.37864077669903 & -0.378640776699029 \tabularnewline
176 & 5 & 5.37864077669903 & -0.378640776699029 \tabularnewline
177 & 5 & 5.37864077669903 & -0.378640776699029 \tabularnewline
178 & 6 & 5.97916666666667 & 0.020833333333333 \tabularnewline
179 & 5 & 5.09701492537313 & -0.0970149253731343 \tabularnewline
180 & 5 & 5.09701492537313 & -0.0970149253731343 \tabularnewline
181 & 5 & 5.09701492537313 & -0.0970149253731343 \tabularnewline
182 & 5 & 5.09701492537313 & -0.0970149253731343 \tabularnewline
183 & 5 & 5.09701492537313 & -0.0970149253731343 \tabularnewline
184 & 5 & 5.09701492537313 & -0.0970149253731343 \tabularnewline
185 & 6 & 5.09701492537313 & 0.902985074626866 \tabularnewline
186 & 5 & 5.44444444444444 & -0.444444444444445 \tabularnewline
187 & 5 & 5.37864077669903 & -0.378640776699029 \tabularnewline
188 & 5 & 5.09701492537313 & -0.0970149253731343 \tabularnewline
189 & 5 & 5.37864077669903 & -0.378640776699029 \tabularnewline
190 & 5 & 5.37864077669903 & -0.378640776699029 \tabularnewline
191 & 5 & 5.37864077669903 & -0.378640776699029 \tabularnewline
192 & 6 & 5.37864077669903 & 0.621359223300971 \tabularnewline
193 & 5 & 5.09701492537313 & -0.0970149253731343 \tabularnewline
194 & 5 & 5.09701492537313 & -0.0970149253731343 \tabularnewline
195 & 5 & 5.09701492537313 & -0.0970149253731343 \tabularnewline
196 & 5 & 5.09701492537313 & -0.0970149253731343 \tabularnewline
197 & 5 & 5.390625 & -0.390625 \tabularnewline
198 & 6 & 5.97916666666667 & 0.020833333333333 \tabularnewline
199 & 7 & 5.90196078431373 & 1.09803921568627 \tabularnewline
200 & 4 & 5.390625 & -1.390625 \tabularnewline
201 & 7 & 5.97916666666667 & 1.02083333333333 \tabularnewline
202 & 5 & 5.37864077669903 & -0.378640776699029 \tabularnewline
203 & 5 & 5.37864077669903 & -0.378640776699029 \tabularnewline
204 & 5 & 5.37864077669903 & -0.378640776699029 \tabularnewline
205 & 6 & 5.37864077669903 & 0.621359223300971 \tabularnewline
206 & 7 & 6.51470588235294 & 0.485294117647059 \tabularnewline
207 & 7 & 6.51470588235294 & 0.485294117647059 \tabularnewline
208 & 5 & 5.09701492537313 & -0.0970149253731343 \tabularnewline
209 & 5 & 5.37864077669903 & -0.378640776699029 \tabularnewline
210 & 7 & 5.97916666666667 & 1.02083333333333 \tabularnewline
211 & 6 & 5.97916666666667 & 0.020833333333333 \tabularnewline
212 & 6 & 5.390625 & 0.609375 \tabularnewline
213 & 6 & 5.97916666666667 & 0.020833333333333 \tabularnewline
214 & 5 & 5.390625 & -0.390625 \tabularnewline
215 & 6 & 5.09701492537313 & 0.902985074626866 \tabularnewline
216 & 5 & 5 & 0 \tabularnewline
217 & 5 & 5.390625 & -0.390625 \tabularnewline
218 & 5 & 5.09701492537313 & -0.0970149253731343 \tabularnewline
219 & 5 & 5.37864077669903 & -0.378640776699029 \tabularnewline
220 & 5 & 5.37864077669903 & -0.378640776699029 \tabularnewline
221 & 6 & 5.37864077669903 & 0.621359223300971 \tabularnewline
222 & 5 & 5.37864077669903 & -0.378640776699029 \tabularnewline
223 & 5 & 5.09701492537313 & -0.0970149253731343 \tabularnewline
224 & 6 & 5.97916666666667 & 0.020833333333333 \tabularnewline
225 & 4 & 5.390625 & -1.390625 \tabularnewline
226 & 6 & 5.390625 & 0.609375 \tabularnewline
227 & 6 & 5.09701492537313 & 0.902985074626866 \tabularnewline
228 & 5 & 5.09701492537313 & -0.0970149253731343 \tabularnewline
229 & 6 & 5.390625 & 0.609375 \tabularnewline
230 & 5 & 5.390625 & -0.390625 \tabularnewline
231 & 7 & 5.90196078431373 & 1.09803921568627 \tabularnewline
232 & 6 & 5.390625 & 0.609375 \tabularnewline
233 & 6 & 5.37864077669903 & 0.621359223300971 \tabularnewline
234 & 5 & 5.390625 & -0.390625 \tabularnewline
235 & 6 & 5.09701492537313 & 0.902985074626866 \tabularnewline
236 & 6 & 5.09701492537313 & 0.902985074626866 \tabularnewline
237 & 6 & 5.09701492537313 & 0.902985074626866 \tabularnewline
238 & 6 & 5.09701492537313 & 0.902985074626866 \tabularnewline
239 & 6 & 5.09701492537313 & 0.902985074626866 \tabularnewline
240 & 6 & 5.09701492537313 & 0.902985074626866 \tabularnewline
241 & 5 & 5.09701492537313 & -0.0970149253731343 \tabularnewline
242 & 6 & 5.97916666666667 & 0.020833333333333 \tabularnewline
243 & 6 & 5.09701492537313 & 0.902985074626866 \tabularnewline
244 & 7 & 6.30769230769231 & 0.692307692307693 \tabularnewline
245 & 7 & 6.30769230769231 & 0.692307692307693 \tabularnewline
246 & 6 & 5.97916666666667 & 0.020833333333333 \tabularnewline
247 & 5 & 5.09701492537313 & -0.0970149253731343 \tabularnewline
248 & 5 & 5.09701492537313 & -0.0970149253731343 \tabularnewline
249 & 6 & 5.37864077669903 & 0.621359223300971 \tabularnewline
250 & 6 & 5.97916666666667 & 0.020833333333333 \tabularnewline
251 & 6 & 5.97916666666667 & 0.020833333333333 \tabularnewline
252 & 6 & 5.97916666666667 & 0.020833333333333 \tabularnewline
253 & 5 & 5.390625 & -0.390625 \tabularnewline
254 & 5 & 5.09701492537313 & -0.0970149253731343 \tabularnewline
255 & 6 & 5.97916666666667 & 0.020833333333333 \tabularnewline
256 & 5 & 5.09701492537313 & -0.0970149253731343 \tabularnewline
257 & 5 & 5.37864077669903 & -0.378640776699029 \tabularnewline
258 & 5 & 5.09701492537313 & -0.0970149253731343 \tabularnewline
259 & 5 & 5.37864077669903 & -0.378640776699029 \tabularnewline
260 & 7 & 6.51470588235294 & 0.485294117647059 \tabularnewline
261 & 5 & 5.37864077669903 & -0.378640776699029 \tabularnewline
262 & 4 & 5.09701492537313 & -1.09701492537313 \tabularnewline
263 & 5 & 5.390625 & -0.390625 \tabularnewline
264 & 5 & 5.37864077669903 & -0.378640776699029 \tabularnewline
265 & 5 & 5.97916666666667 & -0.979166666666667 \tabularnewline
266 & 7 & 5.97916666666667 & 1.02083333333333 \tabularnewline
267 & 4 & 5.09701492537313 & -1.09701492537313 \tabularnewline
268 & 8 & 6.51470588235294 & 1.48529411764706 \tabularnewline
269 & 6 & 5.37864077669903 & 0.621359223300971 \tabularnewline
270 & 6 & 6.51470588235294 & -0.514705882352941 \tabularnewline
271 & 6 & 5.90196078431373 & 0.0980392156862742 \tabularnewline
272 & 6 & 6.51470588235294 & -0.514705882352941 \tabularnewline
273 & 5 & 5.90196078431373 & -0.901960784313726 \tabularnewline
274 & 5 & 5.09701492537313 & -0.0970149253731343 \tabularnewline
275 & 5 & 5.09701492537313 & -0.0970149253731343 \tabularnewline
276 & 6 & 5.90196078431373 & 0.0980392156862742 \tabularnewline
277 & 6 & 5.37864077669903 & 0.621359223300971 \tabularnewline
278 & 6 & 6.51470588235294 & -0.514705882352941 \tabularnewline
279 & 8 & 6.51470588235294 & 1.48529411764706 \tabularnewline
280 & 7 & 6.51470588235294 & 0.485294117647059 \tabularnewline
281 & 6 & 6.30769230769231 & -0.307692307692307 \tabularnewline
282 & 7 & 6.51470588235294 & 0.485294117647059 \tabularnewline
283 & 5 & 5.37864077669903 & -0.378640776699029 \tabularnewline
284 & 7 & 6.51470588235294 & 0.485294117647059 \tabularnewline
285 & 5 & 5.09701492537313 & -0.0970149253731343 \tabularnewline
286 & 5 & 5.09701492537313 & -0.0970149253731343 \tabularnewline
287 & 6 & 5.97916666666667 & 0.020833333333333 \tabularnewline
288 & 6 & 5.90196078431373 & 0.0980392156862742 \tabularnewline
289 & 7 & 6.51470588235294 & 0.485294117647059 \tabularnewline
290 & 5 & 5.37864077669903 & -0.378640776699029 \tabularnewline
291 & 7 & 6.51470588235294 & 0.485294117647059 \tabularnewline
292 & 5 & 5.97916666666667 & -0.979166666666667 \tabularnewline
293 & 6 & 6.51470588235294 & -0.514705882352941 \tabularnewline
294 & 6 & 5.97916666666667 & 0.020833333333333 \tabularnewline
295 & 6 & 5.37864077669903 & 0.621359223300971 \tabularnewline
296 & 5 & 5.37864077669903 & -0.378640776699029 \tabularnewline
297 & 5 & 5.390625 & -0.390625 \tabularnewline
298 & 5 & 5.09701492537313 & -0.0970149253731343 \tabularnewline
299 & 5 & 5.09701492537313 & -0.0970149253731343 \tabularnewline
300 & 5 & 5.09701492537313 & -0.0970149253731343 \tabularnewline
301 & 6 & 5.390625 & 0.609375 \tabularnewline
302 & 6 & 5.97916666666667 & 0.020833333333333 \tabularnewline
303 & 5 & 6.51470588235294 & -1.51470588235294 \tabularnewline
304 & 5 & 5.09701492537313 & -0.0970149253731343 \tabularnewline
305 & 5 & 5.09701492537313 & -0.0970149253731343 \tabularnewline
306 & 6 & 5.37864077669903 & 0.621359223300971 \tabularnewline
307 & 5 & 5.09701492537313 & -0.0970149253731343 \tabularnewline
308 & 6 & 5.37864077669903 & 0.621359223300971 \tabularnewline
309 & 6 & 5.37864077669903 & 0.621359223300971 \tabularnewline
310 & 6 & 5.44444444444444 & 0.555555555555555 \tabularnewline
311 & 6 & 5.37864077669903 & 0.621359223300971 \tabularnewline
312 & 6 & 5.37864077669903 & 0.621359223300971 \tabularnewline
313 & 6 & 5.37864077669903 & 0.621359223300971 \tabularnewline
314 & 5 & 5.37864077669903 & -0.378640776699029 \tabularnewline
315 & 5 & 5.90196078431373 & -0.901960784313726 \tabularnewline
316 & 6 & 5.90196078431373 & 0.0980392156862742 \tabularnewline
317 & 5 & 5.90196078431373 & -0.901960784313726 \tabularnewline
318 & 6 & 5.90196078431373 & 0.0980392156862742 \tabularnewline
319 & 7 & 5.90196078431373 & 1.09803921568627 \tabularnewline
320 & 6 & 5.90196078431373 & 0.0980392156862742 \tabularnewline
321 & 7 & 5.90196078431373 & 1.09803921568627 \tabularnewline
322 & 5 & 5.09701492537313 & -0.0970149253731343 \tabularnewline
323 & 5 & 5.09701492537313 & -0.0970149253731343 \tabularnewline
324 & 6 & 5.09701492537313 & 0.902985074626866 \tabularnewline
325 & 6 & 5.37864077669903 & 0.621359223300971 \tabularnewline
326 & 6 & 5.37864077669903 & 0.621359223300971 \tabularnewline
327 & 7 & 6.51470588235294 & 0.485294117647059 \tabularnewline
328 & 5 & 6.51470588235294 & -1.51470588235294 \tabularnewline
329 & 6 & 6.30769230769231 & -0.307692307692307 \tabularnewline
330 & 5 & 5.37864077669903 & -0.378640776699029 \tabularnewline
331 & 6 & 6.51470588235294 & -0.514705882352941 \tabularnewline
332 & 6 & 6.51470588235294 & -0.514705882352941 \tabularnewline
333 & 6 & 5.09701492537313 & 0.902985074626866 \tabularnewline
334 & 5 & 5.390625 & -0.390625 \tabularnewline
335 & 7 & 6.51470588235294 & 0.485294117647059 \tabularnewline
336 & 7 & 6.51470588235294 & 0.485294117647059 \tabularnewline
337 & 6 & 5.97916666666667 & 0.020833333333333 \tabularnewline
338 & 5 & 5.90196078431373 & -0.901960784313726 \tabularnewline
339 & 6 & 5.90196078431373 & 0.0980392156862742 \tabularnewline
340 & 7 & 6.30769230769231 & 0.692307692307693 \tabularnewline
341 & 6 & 5.37864077669903 & 0.621359223300971 \tabularnewline
342 & 6 & 6.51470588235294 & -0.514705882352941 \tabularnewline
343 & 6 & 5.37864077669903 & 0.621359223300971 \tabularnewline
344 & 6 & 5.37864077669903 & 0.621359223300971 \tabularnewline
345 & 6 & 6.51470588235294 & -0.514705882352941 \tabularnewline
346 & 5 & 5.90196078431373 & -0.901960784313726 \tabularnewline
347 & 7 & 6.51470588235294 & 0.485294117647059 \tabularnewline
348 & 6 & 6.51470588235294 & -0.514705882352941 \tabularnewline
349 & 6 & 6.51470588235294 & -0.514705882352941 \tabularnewline
350 & 6 & 5.09701492537313 & 0.902985074626866 \tabularnewline
351 & 6 & 6.51470588235294 & -0.514705882352941 \tabularnewline
352 & 6 & 5.09701492537313 & 0.902985074626866 \tabularnewline
353 & 5 & 5.09701492537313 & -0.0970149253731343 \tabularnewline
354 & 5 & 5 & 0 \tabularnewline
355 & 6 & 5.390625 & 0.609375 \tabularnewline
356 & 6 & 5.97916666666667 & 0.020833333333333 \tabularnewline
357 & 5 & 5.90196078431373 & -0.901960784313726 \tabularnewline
358 & 7 & 6.51470588235294 & 0.485294117647059 \tabularnewline
359 & 7 & 6.51470588235294 & 0.485294117647059 \tabularnewline
360 & 6 & 5.37864077669903 & 0.621359223300971 \tabularnewline
361 & 5 & 5.09701492537313 & -0.0970149253731343 \tabularnewline
362 & 6 & 5.90196078431373 & 0.0980392156862742 \tabularnewline
363 & 5 & 5.390625 & -0.390625 \tabularnewline
364 & 5 & 5.97916666666667 & -0.979166666666667 \tabularnewline
365 & 7 & 6.51470588235294 & 0.485294117647059 \tabularnewline
366 & 6 & 6.51470588235294 & -0.514705882352941 \tabularnewline
367 & 7 & 6.51470588235294 & 0.485294117647059 \tabularnewline
368 & 5 & 5.09701492537313 & -0.0970149253731343 \tabularnewline
369 & 5 & 5.37864077669903 & -0.378640776699029 \tabularnewline
370 & 7 & 5.97916666666667 & 1.02083333333333 \tabularnewline
371 & 5 & 5.90196078431373 & -0.901960784313726 \tabularnewline
372 & 6 & 5.44444444444444 & 0.555555555555555 \tabularnewline
373 & 6 & 5.97916666666667 & 0.020833333333333 \tabularnewline
374 & 5 & 5.09701492537313 & -0.0970149253731343 \tabularnewline
375 & 6 & 6.51470588235294 & -0.514705882352941 \tabularnewline
376 & 7 & 6.51470588235294 & 0.485294117647059 \tabularnewline
377 & 6 & 6.51470588235294 & -0.514705882352941 \tabularnewline
378 & 7 & 5.97916666666667 & 1.02083333333333 \tabularnewline
379 & 6 & 6.51470588235294 & -0.514705882352941 \tabularnewline
380 & 6 & 5.90196078431373 & 0.0980392156862742 \tabularnewline
381 & 6 & 6.30769230769231 & -0.307692307692307 \tabularnewline
382 & 6 & 6.51470588235294 & -0.514705882352941 \tabularnewline
383 & 6 & 6.30769230769231 & -0.307692307692307 \tabularnewline
384 & 6 & 6.30769230769231 & -0.307692307692307 \tabularnewline
385 & 5 & 5.37864077669903 & -0.378640776699029 \tabularnewline
386 & 6 & 5.09701492537313 & 0.902985074626866 \tabularnewline
387 & 6 & 5.37864077669903 & 0.621359223300971 \tabularnewline
388 & 6 & 5.09701492537313 & 0.902985074626866 \tabularnewline
389 & 6 & 5.37864077669903 & 0.621359223300971 \tabularnewline
390 & 7 & 6.51470588235294 & 0.485294117647059 \tabularnewline
391 & 8 & 5.90196078431373 & 2.09803921568627 \tabularnewline
392 & 6 & 6.51470588235294 & -0.514705882352941 \tabularnewline
393 & 5 & 5.37864077669903 & -0.378640776699029 \tabularnewline
394 & 5 & 5.09701492537313 & -0.0970149253731343 \tabularnewline
395 & 5 & 5.390625 & -0.390625 \tabularnewline
396 & 7 & 6.51470588235294 & 0.485294117647059 \tabularnewline
397 & 5 & 5.390625 & -0.390625 \tabularnewline
398 & 6 & 6.51470588235294 & -0.514705882352941 \tabularnewline
399 & 6 & 6.51470588235294 & -0.514705882352941 \tabularnewline
400 & 5 & 5.09701492537313 & -0.0970149253731343 \tabularnewline
401 & 5 & 5.390625 & -0.390625 \tabularnewline
402 & 6 & 5.390625 & 0.609375 \tabularnewline
403 & 6 & 5.90196078431373 & 0.0980392156862742 \tabularnewline
404 & 6 & 6.51470588235294 & -0.514705882352941 \tabularnewline
405 & 5 & 5.09701492537313 & -0.0970149253731343 \tabularnewline
406 & 6 & 5.97916666666667 & 0.020833333333333 \tabularnewline
407 & 6 & 6.51470588235294 & -0.514705882352941 \tabularnewline
408 & 7 & 6.51470588235294 & 0.485294117647059 \tabularnewline
409 & 6 & 6.51470588235294 & -0.514705882352941 \tabularnewline
410 & 4 & 5.37864077669903 & -1.37864077669903 \tabularnewline
411 & 6 & 5.37864077669903 & 0.621359223300971 \tabularnewline
412 & 5 & 5.37864077669903 & -0.378640776699029 \tabularnewline
413 & 5 & 5.09701492537313 & -0.0970149253731343 \tabularnewline
414 & 7 & 6.51470588235294 & 0.485294117647059 \tabularnewline
415 & 5 & 5.37864077669903 & -0.378640776699029 \tabularnewline
416 & 5 & 5.09701492537313 & -0.0970149253731343 \tabularnewline
417 & 6 & 5.97916666666667 & 0.020833333333333 \tabularnewline
418 & 5 & 5.390625 & -0.390625 \tabularnewline
419 & 6 & 5.97916666666667 & 0.020833333333333 \tabularnewline
420 & 5 & 5.90196078431373 & -0.901960784313726 \tabularnewline
421 & 7 & 5.90196078431373 & 1.09803921568627 \tabularnewline
422 & 7 & 5.390625 & 1.609375 \tabularnewline
423 & 5 & 5.390625 & -0.390625 \tabularnewline
424 & 7 & 5.97916666666667 & 1.02083333333333 \tabularnewline
425 & 5 & 5.390625 & -0.390625 \tabularnewline
426 & 7 & 5.390625 & 1.609375 \tabularnewline
427 & 6 & 5.390625 & 0.609375 \tabularnewline
428 & 6 & 5.390625 & 0.609375 \tabularnewline
429 & 5 & 5.37864077669903 & -0.378640776699029 \tabularnewline
430 & 6 & 5.97916666666667 & 0.020833333333333 \tabularnewline
431 & 7 & 5.97916666666667 & 1.02083333333333 \tabularnewline
432 & 5 & 5.09701492537313 & -0.0970149253731343 \tabularnewline
433 & 6 & 5.97916666666667 & 0.020833333333333 \tabularnewline
434 & 5 & 5.37864077669903 & -0.378640776699029 \tabularnewline
435 & 6 & 5.90196078431373 & 0.0980392156862742 \tabularnewline
436 & 5 & 5.37864077669903 & -0.378640776699029 \tabularnewline
437 & 6 & 5.390625 & 0.609375 \tabularnewline
438 & 6 & 6.51470588235294 & -0.514705882352941 \tabularnewline
439 & 6 & 5.90196078431373 & 0.0980392156862742 \tabularnewline
440 & 5 & 5.09701492537313 & -0.0970149253731343 \tabularnewline
441 & 8 & 6.30769230769231 & 1.69230769230769 \tabularnewline
442 & 6 & 5.97916666666667 & 0.020833333333333 \tabularnewline
443 & 7 & 6.51470588235294 & 0.485294117647059 \tabularnewline
444 & 7 & 6.51470588235294 & 0.485294117647059 \tabularnewline
445 & 7 & 5.97916666666667 & 1.02083333333333 \tabularnewline
446 & 6 & 5.390625 & 0.609375 \tabularnewline
447 & 5 & 5.90196078431373 & -0.901960784313726 \tabularnewline
448 & 5 & 5.97916666666667 & -0.979166666666667 \tabularnewline
449 & 6 & 5.390625 & 0.609375 \tabularnewline
450 & 6 & 6.51470588235294 & -0.514705882352941 \tabularnewline
451 & 6 & 6.51470588235294 & -0.514705882352941 \tabularnewline
452 & 6 & 5.37864077669903 & 0.621359223300971 \tabularnewline
453 & 6 & 5.97916666666667 & 0.020833333333333 \tabularnewline
454 & 7 & 6.51470588235294 & 0.485294117647059 \tabularnewline
455 & 5 & 5.90196078431373 & -0.901960784313726 \tabularnewline
456 & 8 & 6.51470588235294 & 1.48529411764706 \tabularnewline
457 & 5 & 5.390625 & -0.390625 \tabularnewline
458 & 5 & 5.09701492537313 & -0.0970149253731343 \tabularnewline
459 & 7 & 6.51470588235294 & 0.485294117647059 \tabularnewline
460 & 3 & 5.09701492537313 & -2.09701492537313 \tabularnewline
461 & 6 & 5.97916666666667 & 0.020833333333333 \tabularnewline
462 & 5 & 5.09701492537313 & -0.0970149253731343 \tabularnewline
463 & 5 & 6.51470588235294 & -1.51470588235294 \tabularnewline
464 & 5 & 5.09701492537313 & -0.0970149253731343 \tabularnewline
465 & 6 & 6.30769230769231 & -0.307692307692307 \tabularnewline
466 & 5 & 5.44444444444444 & -0.444444444444445 \tabularnewline
467 & 6 & 5.90196078431373 & 0.0980392156862742 \tabularnewline
468 & 6 & 6.51470588235294 & -0.514705882352941 \tabularnewline
469 & 6 & 5.37864077669903 & 0.621359223300971 \tabularnewline
470 & 5 & 5.09701492537313 & -0.0970149253731343 \tabularnewline
471 & 5 & 6.51470588235294 & -1.51470588235294 \tabularnewline
472 & 6 & 5.90196078431373 & 0.0980392156862742 \tabularnewline
473 & 6 & 5.90196078431373 & 0.0980392156862742 \tabularnewline
474 & 5 & 5.97916666666667 & -0.979166666666667 \tabularnewline
475 & 6 & 6.30769230769231 & -0.307692307692307 \tabularnewline
476 & 5 & 5.97916666666667 & -0.979166666666667 \tabularnewline
477 & 5 & 5.44444444444444 & -0.444444444444445 \tabularnewline
478 & 6 & 5.97916666666667 & 0.020833333333333 \tabularnewline
479 & 5 & 5.97916666666667 & -0.979166666666667 \tabularnewline
480 & 6 & 6.51470588235294 & -0.514705882352941 \tabularnewline
481 & 5 & 6.30769230769231 & -1.30769230769231 \tabularnewline
482 & 8 & 6.51470588235294 & 1.48529411764706 \tabularnewline
483 & 5 & 5.37864077669903 & -0.378640776699029 \tabularnewline
484 & 5 & 5.37864077669903 & -0.378640776699029 \tabularnewline
485 & 6 & 6.51470588235294 & -0.514705882352941 \tabularnewline
486 & 5 & 5.390625 & -0.390625 \tabularnewline
487 & 5 & 5.390625 & -0.390625 \tabularnewline
488 & 6 & 5.390625 & 0.609375 \tabularnewline
489 & 7 & 5.90196078431373 & 1.09803921568627 \tabularnewline
490 & 6 & 6.51470588235294 & -0.514705882352941 \tabularnewline
491 & 6 & 5.90196078431373 & 0.0980392156862742 \tabularnewline
492 & 7 & 6.51470588235294 & 0.485294117647059 \tabularnewline
493 & 7 & 6.51470588235294 & 0.485294117647059 \tabularnewline
494 & 6 & 5.90196078431373 & 0.0980392156862742 \tabularnewline
495 & 6 & 5.390625 & 0.609375 \tabularnewline
496 & 8 & 6.51470588235294 & 1.48529411764706 \tabularnewline
497 & 6 & 5.37864077669903 & 0.621359223300971 \tabularnewline
498 & 5 & 5.90196078431373 & -0.901960784313726 \tabularnewline
499 & 8 & 6.51470588235294 & 1.48529411764706 \tabularnewline
500 & 6 & 5.90196078431373 & 0.0980392156862742 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154410&T=2

[TABLE]
[ROW][C]Actuals, Predictions, and Residuals[/C][/ROW]
[ROW][C]#[/C][C]Actuals[/C][C]Forecasts[/C][C]Residuals[/C][/ROW]
[ROW][C]1[/C][C]5[/C][C]5.09701492537313[/C][C]-0.0970149253731343[/C][/ROW]
[ROW][C]2[/C][C]5[/C][C]5.09701492537313[/C][C]-0.0970149253731343[/C][/ROW]
[ROW][C]3[/C][C]5[/C][C]5.09701492537313[/C][C]-0.0970149253731343[/C][/ROW]
[ROW][C]4[/C][C]6[/C][C]6.30769230769231[/C][C]-0.307692307692307[/C][/ROW]
[ROW][C]5[/C][C]5[/C][C]5.09701492537313[/C][C]-0.0970149253731343[/C][/ROW]
[ROW][C]6[/C][C]5[/C][C]5.09701492537313[/C][C]-0.0970149253731343[/C][/ROW]
[ROW][C]7[/C][C]5[/C][C]5.09701492537313[/C][C]-0.0970149253731343[/C][/ROW]
[ROW][C]8[/C][C]7[/C][C]5.390625[/C][C]1.609375[/C][/ROW]
[ROW][C]9[/C][C]7[/C][C]5.09701492537313[/C][C]1.90298507462687[/C][/ROW]
[ROW][C]10[/C][C]5[/C][C]5[/C][C]0[/C][/ROW]
[ROW][C]11[/C][C]5[/C][C]5.09701492537313[/C][C]-0.0970149253731343[/C][/ROW]
[ROW][C]12[/C][C]5[/C][C]5[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]5[/C][C]5.390625[/C][C]-0.390625[/C][/ROW]
[ROW][C]14[/C][C]5[/C][C]5.09701492537313[/C][C]-0.0970149253731343[/C][/ROW]
[ROW][C]15[/C][C]5[/C][C]5.09701492537313[/C][C]-0.0970149253731343[/C][/ROW]
[ROW][C]16[/C][C]5[/C][C]5.09701492537313[/C][C]-0.0970149253731343[/C][/ROW]
[ROW][C]17[/C][C]7[/C][C]5.90196078431373[/C][C]1.09803921568627[/C][/ROW]
[ROW][C]18[/C][C]5[/C][C]5.09701492537313[/C][C]-0.0970149253731343[/C][/ROW]
[ROW][C]19[/C][C]4[/C][C]5.09701492537313[/C][C]-1.09701492537313[/C][/ROW]
[ROW][C]20[/C][C]6[/C][C]5.37864077669903[/C][C]0.621359223300971[/C][/ROW]
[ROW][C]21[/C][C]6[/C][C]5.44444444444444[/C][C]0.555555555555555[/C][/ROW]
[ROW][C]22[/C][C]5[/C][C]5.37864077669903[/C][C]-0.378640776699029[/C][/ROW]
[ROW][C]23[/C][C]5[/C][C]5.37864077669903[/C][C]-0.378640776699029[/C][/ROW]
[ROW][C]24[/C][C]5[/C][C]5.37864077669903[/C][C]-0.378640776699029[/C][/ROW]
[ROW][C]25[/C][C]6[/C][C]5.37864077669903[/C][C]0.621359223300971[/C][/ROW]
[ROW][C]26[/C][C]5[/C][C]5.37864077669903[/C][C]-0.378640776699029[/C][/ROW]
[ROW][C]27[/C][C]5[/C][C]5.37864077669903[/C][C]-0.378640776699029[/C][/ROW]
[ROW][C]28[/C][C]5[/C][C]5.37864077669903[/C][C]-0.378640776699029[/C][/ROW]
[ROW][C]29[/C][C]5[/C][C]5.09701492537313[/C][C]-0.0970149253731343[/C][/ROW]
[ROW][C]30[/C][C]6[/C][C]5.09701492537313[/C][C]0.902985074626866[/C][/ROW]
[ROW][C]31[/C][C]5[/C][C]5.390625[/C][C]-0.390625[/C][/ROW]
[ROW][C]32[/C][C]6[/C][C]5.390625[/C][C]0.609375[/C][/ROW]
[ROW][C]33[/C][C]5[/C][C]5.09701492537313[/C][C]-0.0970149253731343[/C][/ROW]
[ROW][C]34[/C][C]6[/C][C]5.09701492537313[/C][C]0.902985074626866[/C][/ROW]
[ROW][C]35[/C][C]5[/C][C]5.37864077669903[/C][C]-0.378640776699029[/C][/ROW]
[ROW][C]36[/C][C]6[/C][C]5.09701492537313[/C][C]0.902985074626866[/C][/ROW]
[ROW][C]37[/C][C]6[/C][C]5.97916666666667[/C][C]0.020833333333333[/C][/ROW]
[ROW][C]38[/C][C]7[/C][C]5.37864077669903[/C][C]1.62135922330097[/C][/ROW]
[ROW][C]39[/C][C]4[/C][C]5.09701492537313[/C][C]-1.09701492537313[/C][/ROW]
[ROW][C]40[/C][C]5[/C][C]5[/C][C]0[/C][/ROW]
[ROW][C]41[/C][C]5[/C][C]5[/C][C]0[/C][/ROW]
[ROW][C]42[/C][C]4[/C][C]5.09701492537313[/C][C]-1.09701492537313[/C][/ROW]
[ROW][C]43[/C][C]6[/C][C]6.51470588235294[/C][C]-0.514705882352941[/C][/ROW]
[ROW][C]44[/C][C]5[/C][C]5.97916666666667[/C][C]-0.979166666666667[/C][/ROW]
[ROW][C]45[/C][C]5[/C][C]5.09701492537313[/C][C]-0.0970149253731343[/C][/ROW]
[ROW][C]46[/C][C]4[/C][C]5.390625[/C][C]-1.390625[/C][/ROW]
[ROW][C]47[/C][C]5[/C][C]5.09701492537313[/C][C]-0.0970149253731343[/C][/ROW]
[ROW][C]48[/C][C]5[/C][C]5.44444444444444[/C][C]-0.444444444444445[/C][/ROW]
[ROW][C]49[/C][C]5[/C][C]5.37864077669903[/C][C]-0.378640776699029[/C][/ROW]
[ROW][C]50[/C][C]5[/C][C]5.44444444444444[/C][C]-0.444444444444445[/C][/ROW]
[ROW][C]51[/C][C]5[/C][C]5.09701492537313[/C][C]-0.0970149253731343[/C][/ROW]
[ROW][C]52[/C][C]6[/C][C]5.37864077669903[/C][C]0.621359223300971[/C][/ROW]
[ROW][C]53[/C][C]6[/C][C]5.37864077669903[/C][C]0.621359223300971[/C][/ROW]
[ROW][C]54[/C][C]5[/C][C]5.37864077669903[/C][C]-0.378640776699029[/C][/ROW]
[ROW][C]55[/C][C]6[/C][C]5.90196078431373[/C][C]0.0980392156862742[/C][/ROW]
[ROW][C]56[/C][C]5[/C][C]5.09701492537313[/C][C]-0.0970149253731343[/C][/ROW]
[ROW][C]57[/C][C]5[/C][C]5.37864077669903[/C][C]-0.378640776699029[/C][/ROW]
[ROW][C]58[/C][C]5[/C][C]5.09701492537313[/C][C]-0.0970149253731343[/C][/ROW]
[ROW][C]59[/C][C]5[/C][C]5.390625[/C][C]-0.390625[/C][/ROW]
[ROW][C]60[/C][C]6[/C][C]5.37864077669903[/C][C]0.621359223300971[/C][/ROW]
[ROW][C]61[/C][C]5[/C][C]5.37864077669903[/C][C]-0.378640776699029[/C][/ROW]
[ROW][C]62[/C][C]5[/C][C]5.09701492537313[/C][C]-0.0970149253731343[/C][/ROW]
[ROW][C]63[/C][C]7[/C][C]5.37864077669903[/C][C]1.62135922330097[/C][/ROW]
[ROW][C]64[/C][C]5[/C][C]5.09701492537313[/C][C]-0.0970149253731343[/C][/ROW]
[ROW][C]65[/C][C]5[/C][C]5.390625[/C][C]-0.390625[/C][/ROW]
[ROW][C]66[/C][C]5[/C][C]5.390625[/C][C]-0.390625[/C][/ROW]
[ROW][C]67[/C][C]5[/C][C]5.37864077669903[/C][C]-0.378640776699029[/C][/ROW]
[ROW][C]68[/C][C]5[/C][C]5.390625[/C][C]-0.390625[/C][/ROW]
[ROW][C]69[/C][C]5[/C][C]5.90196078431373[/C][C]-0.901960784313726[/C][/ROW]
[ROW][C]70[/C][C]6[/C][C]5.97916666666667[/C][C]0.020833333333333[/C][/ROW]
[ROW][C]71[/C][C]6[/C][C]5.09701492537313[/C][C]0.902985074626866[/C][/ROW]
[ROW][C]72[/C][C]5[/C][C]5.09701492537313[/C][C]-0.0970149253731343[/C][/ROW]
[ROW][C]73[/C][C]5[/C][C]5.09701492537313[/C][C]-0.0970149253731343[/C][/ROW]
[ROW][C]74[/C][C]4[/C][C]5.09701492537313[/C][C]-1.09701492537313[/C][/ROW]
[ROW][C]75[/C][C]5[/C][C]5.37864077669903[/C][C]-0.378640776699029[/C][/ROW]
[ROW][C]76[/C][C]5[/C][C]5.97916666666667[/C][C]-0.979166666666667[/C][/ROW]
[ROW][C]77[/C][C]5[/C][C]5.97916666666667[/C][C]-0.979166666666667[/C][/ROW]
[ROW][C]78[/C][C]6[/C][C]5.390625[/C][C]0.609375[/C][/ROW]
[ROW][C]79[/C][C]5[/C][C]5.390625[/C][C]-0.390625[/C][/ROW]
[ROW][C]80[/C][C]4[/C][C]5.09701492537313[/C][C]-1.09701492537313[/C][/ROW]
[ROW][C]81[/C][C]5[/C][C]5.37864077669903[/C][C]-0.378640776699029[/C][/ROW]
[ROW][C]82[/C][C]5[/C][C]5.37864077669903[/C][C]-0.378640776699029[/C][/ROW]
[ROW][C]83[/C][C]5[/C][C]5.37864077669903[/C][C]-0.378640776699029[/C][/ROW]
[ROW][C]84[/C][C]5[/C][C]5.09701492537313[/C][C]-0.0970149253731343[/C][/ROW]
[ROW][C]85[/C][C]6[/C][C]5.90196078431373[/C][C]0.0980392156862742[/C][/ROW]
[ROW][C]86[/C][C]5[/C][C]5.390625[/C][C]-0.390625[/C][/ROW]
[ROW][C]87[/C][C]6[/C][C]5.90196078431373[/C][C]0.0980392156862742[/C][/ROW]
[ROW][C]88[/C][C]5[/C][C]5.37864077669903[/C][C]-0.378640776699029[/C][/ROW]
[ROW][C]89[/C][C]5[/C][C]5.37864077669903[/C][C]-0.378640776699029[/C][/ROW]
[ROW][C]90[/C][C]5[/C][C]5.09701492537313[/C][C]-0.0970149253731343[/C][/ROW]
[ROW][C]91[/C][C]5[/C][C]5.37864077669903[/C][C]-0.378640776699029[/C][/ROW]
[ROW][C]92[/C][C]6[/C][C]5.90196078431373[/C][C]0.0980392156862742[/C][/ROW]
[ROW][C]93[/C][C]5[/C][C]5.37864077669903[/C][C]-0.378640776699029[/C][/ROW]
[ROW][C]94[/C][C]5[/C][C]5.37864077669903[/C][C]-0.378640776699029[/C][/ROW]
[ROW][C]95[/C][C]4[/C][C]5.390625[/C][C]-1.390625[/C][/ROW]
[ROW][C]96[/C][C]6[/C][C]5.90196078431373[/C][C]0.0980392156862742[/C][/ROW]
[ROW][C]97[/C][C]5[/C][C]5.390625[/C][C]-0.390625[/C][/ROW]
[ROW][C]98[/C][C]5[/C][C]5.37864077669903[/C][C]-0.378640776699029[/C][/ROW]
[ROW][C]99[/C][C]5[/C][C]5.09701492537313[/C][C]-0.0970149253731343[/C][/ROW]
[ROW][C]100[/C][C]6[/C][C]5.37864077669903[/C][C]0.621359223300971[/C][/ROW]
[ROW][C]101[/C][C]6[/C][C]5.90196078431373[/C][C]0.0980392156862742[/C][/ROW]
[ROW][C]102[/C][C]6[/C][C]5.390625[/C][C]0.609375[/C][/ROW]
[ROW][C]103[/C][C]6[/C][C]5.37864077669903[/C][C]0.621359223300971[/C][/ROW]
[ROW][C]104[/C][C]5[/C][C]5.09701492537313[/C][C]-0.0970149253731343[/C][/ROW]
[ROW][C]105[/C][C]5[/C][C]5.37864077669903[/C][C]-0.378640776699029[/C][/ROW]
[ROW][C]106[/C][C]5[/C][C]5.09701492537313[/C][C]-0.0970149253731343[/C][/ROW]
[ROW][C]107[/C][C]5[/C][C]5.37864077669903[/C][C]-0.378640776699029[/C][/ROW]
[ROW][C]108[/C][C]5[/C][C]5.09701492537313[/C][C]-0.0970149253731343[/C][/ROW]
[ROW][C]109[/C][C]6[/C][C]5.37864077669903[/C][C]0.621359223300971[/C][/ROW]
[ROW][C]110[/C][C]5[/C][C]5.09701492537313[/C][C]-0.0970149253731343[/C][/ROW]
[ROW][C]111[/C][C]5[/C][C]5.09701492537313[/C][C]-0.0970149253731343[/C][/ROW]
[ROW][C]112[/C][C]5[/C][C]5.09701492537313[/C][C]-0.0970149253731343[/C][/ROW]
[ROW][C]113[/C][C]5[/C][C]5.09701492537313[/C][C]-0.0970149253731343[/C][/ROW]
[ROW][C]114[/C][C]6[/C][C]5.44444444444444[/C][C]0.555555555555555[/C][/ROW]
[ROW][C]115[/C][C]5[/C][C]5.09701492537313[/C][C]-0.0970149253731343[/C][/ROW]
[ROW][C]116[/C][C]6[/C][C]5.90196078431373[/C][C]0.0980392156862742[/C][/ROW]
[ROW][C]117[/C][C]6[/C][C]5.97916666666667[/C][C]0.020833333333333[/C][/ROW]
[ROW][C]118[/C][C]6[/C][C]5.09701492537313[/C][C]0.902985074626866[/C][/ROW]
[ROW][C]119[/C][C]6[/C][C]5.90196078431373[/C][C]0.0980392156862742[/C][/ROW]
[ROW][C]120[/C][C]6[/C][C]5.09701492537313[/C][C]0.902985074626866[/C][/ROW]
[ROW][C]121[/C][C]5[/C][C]5.09701492537313[/C][C]-0.0970149253731343[/C][/ROW]
[ROW][C]122[/C][C]6[/C][C]5.90196078431373[/C][C]0.0980392156862742[/C][/ROW]
[ROW][C]123[/C][C]5[/C][C]5.09701492537313[/C][C]-0.0970149253731343[/C][/ROW]
[ROW][C]124[/C][C]5[/C][C]5.09701492537313[/C][C]-0.0970149253731343[/C][/ROW]
[ROW][C]125[/C][C]5[/C][C]5.37864077669903[/C][C]-0.378640776699029[/C][/ROW]
[ROW][C]126[/C][C]5[/C][C]5.09701492537313[/C][C]-0.0970149253731343[/C][/ROW]
[ROW][C]127[/C][C]5[/C][C]5.390625[/C][C]-0.390625[/C][/ROW]
[ROW][C]128[/C][C]5[/C][C]5.390625[/C][C]-0.390625[/C][/ROW]
[ROW][C]129[/C][C]7[/C][C]5.97916666666667[/C][C]1.02083333333333[/C][/ROW]
[ROW][C]130[/C][C]5[/C][C]5.37864077669903[/C][C]-0.378640776699029[/C][/ROW]
[ROW][C]131[/C][C]5[/C][C]5.09701492537313[/C][C]-0.0970149253731343[/C][/ROW]
[ROW][C]132[/C][C]5[/C][C]5.90196078431373[/C][C]-0.901960784313726[/C][/ROW]
[ROW][C]133[/C][C]5[/C][C]5.90196078431373[/C][C]-0.901960784313726[/C][/ROW]
[ROW][C]134[/C][C]6[/C][C]5.37864077669903[/C][C]0.621359223300971[/C][/ROW]
[ROW][C]135[/C][C]6[/C][C]5.390625[/C][C]0.609375[/C][/ROW]
[ROW][C]136[/C][C]5[/C][C]5.09701492537313[/C][C]-0.0970149253731343[/C][/ROW]
[ROW][C]137[/C][C]5[/C][C]5.09701492537313[/C][C]-0.0970149253731343[/C][/ROW]
[ROW][C]138[/C][C]5[/C][C]5.37864077669903[/C][C]-0.378640776699029[/C][/ROW]
[ROW][C]139[/C][C]5[/C][C]5.09701492537313[/C][C]-0.0970149253731343[/C][/ROW]
[ROW][C]140[/C][C]5[/C][C]5.09701492537313[/C][C]-0.0970149253731343[/C][/ROW]
[ROW][C]141[/C][C]5[/C][C]5.09701492537313[/C][C]-0.0970149253731343[/C][/ROW]
[ROW][C]142[/C][C]5[/C][C]5.09701492537313[/C][C]-0.0970149253731343[/C][/ROW]
[ROW][C]143[/C][C]6[/C][C]5.90196078431373[/C][C]0.0980392156862742[/C][/ROW]
[ROW][C]144[/C][C]5[/C][C]5.37864077669903[/C][C]-0.378640776699029[/C][/ROW]
[ROW][C]145[/C][C]6[/C][C]5.90196078431373[/C][C]0.0980392156862742[/C][/ROW]
[ROW][C]146[/C][C]5[/C][C]5.09701492537313[/C][C]-0.0970149253731343[/C][/ROW]
[ROW][C]147[/C][C]5[/C][C]5.390625[/C][C]-0.390625[/C][/ROW]
[ROW][C]148[/C][C]5[/C][C]5.37864077669903[/C][C]-0.378640776699029[/C][/ROW]
[ROW][C]149[/C][C]6[/C][C]5.390625[/C][C]0.609375[/C][/ROW]
[ROW][C]150[/C][C]6[/C][C]6.51470588235294[/C][C]-0.514705882352941[/C][/ROW]
[ROW][C]151[/C][C]6[/C][C]5.390625[/C][C]0.609375[/C][/ROW]
[ROW][C]152[/C][C]4[/C][C]5.37864077669903[/C][C]-1.37864077669903[/C][/ROW]
[ROW][C]153[/C][C]5[/C][C]5.390625[/C][C]-0.390625[/C][/ROW]
[ROW][C]154[/C][C]5[/C][C]5.390625[/C][C]-0.390625[/C][/ROW]
[ROW][C]155[/C][C]5[/C][C]5[/C][C]0[/C][/ROW]
[ROW][C]156[/C][C]5[/C][C]5[/C][C]0[/C][/ROW]
[ROW][C]157[/C][C]5[/C][C]5[/C][C]0[/C][/ROW]
[ROW][C]158[/C][C]5[/C][C]5[/C][C]0[/C][/ROW]
[ROW][C]159[/C][C]5[/C][C]5.09701492537313[/C][C]-0.0970149253731343[/C][/ROW]
[ROW][C]160[/C][C]6[/C][C]5.09701492537313[/C][C]0.902985074626866[/C][/ROW]
[ROW][C]161[/C][C]5[/C][C]5.09701492537313[/C][C]-0.0970149253731343[/C][/ROW]
[ROW][C]162[/C][C]4[/C][C]5.09701492537313[/C][C]-1.09701492537313[/C][/ROW]
[ROW][C]163[/C][C]6[/C][C]5.390625[/C][C]0.609375[/C][/ROW]
[ROW][C]164[/C][C]5[/C][C]5.09701492537313[/C][C]-0.0970149253731343[/C][/ROW]
[ROW][C]165[/C][C]5[/C][C]5.09701492537313[/C][C]-0.0970149253731343[/C][/ROW]
[ROW][C]166[/C][C]5[/C][C]5.09701492537313[/C][C]-0.0970149253731343[/C][/ROW]
[ROW][C]167[/C][C]5[/C][C]5.390625[/C][C]-0.390625[/C][/ROW]
[ROW][C]168[/C][C]4[/C][C]5.09701492537313[/C][C]-1.09701492537313[/C][/ROW]
[ROW][C]169[/C][C]6[/C][C]5.390625[/C][C]0.609375[/C][/ROW]
[ROW][C]170[/C][C]5[/C][C]5.09701492537313[/C][C]-0.0970149253731343[/C][/ROW]
[ROW][C]171[/C][C]4[/C][C]5.09701492537313[/C][C]-1.09701492537313[/C][/ROW]
[ROW][C]172[/C][C]6[/C][C]5.37864077669903[/C][C]0.621359223300971[/C][/ROW]
[ROW][C]173[/C][C]6[/C][C]5.37864077669903[/C][C]0.621359223300971[/C][/ROW]
[ROW][C]174[/C][C]6[/C][C]5.390625[/C][C]0.609375[/C][/ROW]
[ROW][C]175[/C][C]5[/C][C]5.37864077669903[/C][C]-0.378640776699029[/C][/ROW]
[ROW][C]176[/C][C]5[/C][C]5.37864077669903[/C][C]-0.378640776699029[/C][/ROW]
[ROW][C]177[/C][C]5[/C][C]5.37864077669903[/C][C]-0.378640776699029[/C][/ROW]
[ROW][C]178[/C][C]6[/C][C]5.97916666666667[/C][C]0.020833333333333[/C][/ROW]
[ROW][C]179[/C][C]5[/C][C]5.09701492537313[/C][C]-0.0970149253731343[/C][/ROW]
[ROW][C]180[/C][C]5[/C][C]5.09701492537313[/C][C]-0.0970149253731343[/C][/ROW]
[ROW][C]181[/C][C]5[/C][C]5.09701492537313[/C][C]-0.0970149253731343[/C][/ROW]
[ROW][C]182[/C][C]5[/C][C]5.09701492537313[/C][C]-0.0970149253731343[/C][/ROW]
[ROW][C]183[/C][C]5[/C][C]5.09701492537313[/C][C]-0.0970149253731343[/C][/ROW]
[ROW][C]184[/C][C]5[/C][C]5.09701492537313[/C][C]-0.0970149253731343[/C][/ROW]
[ROW][C]185[/C][C]6[/C][C]5.09701492537313[/C][C]0.902985074626866[/C][/ROW]
[ROW][C]186[/C][C]5[/C][C]5.44444444444444[/C][C]-0.444444444444445[/C][/ROW]
[ROW][C]187[/C][C]5[/C][C]5.37864077669903[/C][C]-0.378640776699029[/C][/ROW]
[ROW][C]188[/C][C]5[/C][C]5.09701492537313[/C][C]-0.0970149253731343[/C][/ROW]
[ROW][C]189[/C][C]5[/C][C]5.37864077669903[/C][C]-0.378640776699029[/C][/ROW]
[ROW][C]190[/C][C]5[/C][C]5.37864077669903[/C][C]-0.378640776699029[/C][/ROW]
[ROW][C]191[/C][C]5[/C][C]5.37864077669903[/C][C]-0.378640776699029[/C][/ROW]
[ROW][C]192[/C][C]6[/C][C]5.37864077669903[/C][C]0.621359223300971[/C][/ROW]
[ROW][C]193[/C][C]5[/C][C]5.09701492537313[/C][C]-0.0970149253731343[/C][/ROW]
[ROW][C]194[/C][C]5[/C][C]5.09701492537313[/C][C]-0.0970149253731343[/C][/ROW]
[ROW][C]195[/C][C]5[/C][C]5.09701492537313[/C][C]-0.0970149253731343[/C][/ROW]
[ROW][C]196[/C][C]5[/C][C]5.09701492537313[/C][C]-0.0970149253731343[/C][/ROW]
[ROW][C]197[/C][C]5[/C][C]5.390625[/C][C]-0.390625[/C][/ROW]
[ROW][C]198[/C][C]6[/C][C]5.97916666666667[/C][C]0.020833333333333[/C][/ROW]
[ROW][C]199[/C][C]7[/C][C]5.90196078431373[/C][C]1.09803921568627[/C][/ROW]
[ROW][C]200[/C][C]4[/C][C]5.390625[/C][C]-1.390625[/C][/ROW]
[ROW][C]201[/C][C]7[/C][C]5.97916666666667[/C][C]1.02083333333333[/C][/ROW]
[ROW][C]202[/C][C]5[/C][C]5.37864077669903[/C][C]-0.378640776699029[/C][/ROW]
[ROW][C]203[/C][C]5[/C][C]5.37864077669903[/C][C]-0.378640776699029[/C][/ROW]
[ROW][C]204[/C][C]5[/C][C]5.37864077669903[/C][C]-0.378640776699029[/C][/ROW]
[ROW][C]205[/C][C]6[/C][C]5.37864077669903[/C][C]0.621359223300971[/C][/ROW]
[ROW][C]206[/C][C]7[/C][C]6.51470588235294[/C][C]0.485294117647059[/C][/ROW]
[ROW][C]207[/C][C]7[/C][C]6.51470588235294[/C][C]0.485294117647059[/C][/ROW]
[ROW][C]208[/C][C]5[/C][C]5.09701492537313[/C][C]-0.0970149253731343[/C][/ROW]
[ROW][C]209[/C][C]5[/C][C]5.37864077669903[/C][C]-0.378640776699029[/C][/ROW]
[ROW][C]210[/C][C]7[/C][C]5.97916666666667[/C][C]1.02083333333333[/C][/ROW]
[ROW][C]211[/C][C]6[/C][C]5.97916666666667[/C][C]0.020833333333333[/C][/ROW]
[ROW][C]212[/C][C]6[/C][C]5.390625[/C][C]0.609375[/C][/ROW]
[ROW][C]213[/C][C]6[/C][C]5.97916666666667[/C][C]0.020833333333333[/C][/ROW]
[ROW][C]214[/C][C]5[/C][C]5.390625[/C][C]-0.390625[/C][/ROW]
[ROW][C]215[/C][C]6[/C][C]5.09701492537313[/C][C]0.902985074626866[/C][/ROW]
[ROW][C]216[/C][C]5[/C][C]5[/C][C]0[/C][/ROW]
[ROW][C]217[/C][C]5[/C][C]5.390625[/C][C]-0.390625[/C][/ROW]
[ROW][C]218[/C][C]5[/C][C]5.09701492537313[/C][C]-0.0970149253731343[/C][/ROW]
[ROW][C]219[/C][C]5[/C][C]5.37864077669903[/C][C]-0.378640776699029[/C][/ROW]
[ROW][C]220[/C][C]5[/C][C]5.37864077669903[/C][C]-0.378640776699029[/C][/ROW]
[ROW][C]221[/C][C]6[/C][C]5.37864077669903[/C][C]0.621359223300971[/C][/ROW]
[ROW][C]222[/C][C]5[/C][C]5.37864077669903[/C][C]-0.378640776699029[/C][/ROW]
[ROW][C]223[/C][C]5[/C][C]5.09701492537313[/C][C]-0.0970149253731343[/C][/ROW]
[ROW][C]224[/C][C]6[/C][C]5.97916666666667[/C][C]0.020833333333333[/C][/ROW]
[ROW][C]225[/C][C]4[/C][C]5.390625[/C][C]-1.390625[/C][/ROW]
[ROW][C]226[/C][C]6[/C][C]5.390625[/C][C]0.609375[/C][/ROW]
[ROW][C]227[/C][C]6[/C][C]5.09701492537313[/C][C]0.902985074626866[/C][/ROW]
[ROW][C]228[/C][C]5[/C][C]5.09701492537313[/C][C]-0.0970149253731343[/C][/ROW]
[ROW][C]229[/C][C]6[/C][C]5.390625[/C][C]0.609375[/C][/ROW]
[ROW][C]230[/C][C]5[/C][C]5.390625[/C][C]-0.390625[/C][/ROW]
[ROW][C]231[/C][C]7[/C][C]5.90196078431373[/C][C]1.09803921568627[/C][/ROW]
[ROW][C]232[/C][C]6[/C][C]5.390625[/C][C]0.609375[/C][/ROW]
[ROW][C]233[/C][C]6[/C][C]5.37864077669903[/C][C]0.621359223300971[/C][/ROW]
[ROW][C]234[/C][C]5[/C][C]5.390625[/C][C]-0.390625[/C][/ROW]
[ROW][C]235[/C][C]6[/C][C]5.09701492537313[/C][C]0.902985074626866[/C][/ROW]
[ROW][C]236[/C][C]6[/C][C]5.09701492537313[/C][C]0.902985074626866[/C][/ROW]
[ROW][C]237[/C][C]6[/C][C]5.09701492537313[/C][C]0.902985074626866[/C][/ROW]
[ROW][C]238[/C][C]6[/C][C]5.09701492537313[/C][C]0.902985074626866[/C][/ROW]
[ROW][C]239[/C][C]6[/C][C]5.09701492537313[/C][C]0.902985074626866[/C][/ROW]
[ROW][C]240[/C][C]6[/C][C]5.09701492537313[/C][C]0.902985074626866[/C][/ROW]
[ROW][C]241[/C][C]5[/C][C]5.09701492537313[/C][C]-0.0970149253731343[/C][/ROW]
[ROW][C]242[/C][C]6[/C][C]5.97916666666667[/C][C]0.020833333333333[/C][/ROW]
[ROW][C]243[/C][C]6[/C][C]5.09701492537313[/C][C]0.902985074626866[/C][/ROW]
[ROW][C]244[/C][C]7[/C][C]6.30769230769231[/C][C]0.692307692307693[/C][/ROW]
[ROW][C]245[/C][C]7[/C][C]6.30769230769231[/C][C]0.692307692307693[/C][/ROW]
[ROW][C]246[/C][C]6[/C][C]5.97916666666667[/C][C]0.020833333333333[/C][/ROW]
[ROW][C]247[/C][C]5[/C][C]5.09701492537313[/C][C]-0.0970149253731343[/C][/ROW]
[ROW][C]248[/C][C]5[/C][C]5.09701492537313[/C][C]-0.0970149253731343[/C][/ROW]
[ROW][C]249[/C][C]6[/C][C]5.37864077669903[/C][C]0.621359223300971[/C][/ROW]
[ROW][C]250[/C][C]6[/C][C]5.97916666666667[/C][C]0.020833333333333[/C][/ROW]
[ROW][C]251[/C][C]6[/C][C]5.97916666666667[/C][C]0.020833333333333[/C][/ROW]
[ROW][C]252[/C][C]6[/C][C]5.97916666666667[/C][C]0.020833333333333[/C][/ROW]
[ROW][C]253[/C][C]5[/C][C]5.390625[/C][C]-0.390625[/C][/ROW]
[ROW][C]254[/C][C]5[/C][C]5.09701492537313[/C][C]-0.0970149253731343[/C][/ROW]
[ROW][C]255[/C][C]6[/C][C]5.97916666666667[/C][C]0.020833333333333[/C][/ROW]
[ROW][C]256[/C][C]5[/C][C]5.09701492537313[/C][C]-0.0970149253731343[/C][/ROW]
[ROW][C]257[/C][C]5[/C][C]5.37864077669903[/C][C]-0.378640776699029[/C][/ROW]
[ROW][C]258[/C][C]5[/C][C]5.09701492537313[/C][C]-0.0970149253731343[/C][/ROW]
[ROW][C]259[/C][C]5[/C][C]5.37864077669903[/C][C]-0.378640776699029[/C][/ROW]
[ROW][C]260[/C][C]7[/C][C]6.51470588235294[/C][C]0.485294117647059[/C][/ROW]
[ROW][C]261[/C][C]5[/C][C]5.37864077669903[/C][C]-0.378640776699029[/C][/ROW]
[ROW][C]262[/C][C]4[/C][C]5.09701492537313[/C][C]-1.09701492537313[/C][/ROW]
[ROW][C]263[/C][C]5[/C][C]5.390625[/C][C]-0.390625[/C][/ROW]
[ROW][C]264[/C][C]5[/C][C]5.37864077669903[/C][C]-0.378640776699029[/C][/ROW]
[ROW][C]265[/C][C]5[/C][C]5.97916666666667[/C][C]-0.979166666666667[/C][/ROW]
[ROW][C]266[/C][C]7[/C][C]5.97916666666667[/C][C]1.02083333333333[/C][/ROW]
[ROW][C]267[/C][C]4[/C][C]5.09701492537313[/C][C]-1.09701492537313[/C][/ROW]
[ROW][C]268[/C][C]8[/C][C]6.51470588235294[/C][C]1.48529411764706[/C][/ROW]
[ROW][C]269[/C][C]6[/C][C]5.37864077669903[/C][C]0.621359223300971[/C][/ROW]
[ROW][C]270[/C][C]6[/C][C]6.51470588235294[/C][C]-0.514705882352941[/C][/ROW]
[ROW][C]271[/C][C]6[/C][C]5.90196078431373[/C][C]0.0980392156862742[/C][/ROW]
[ROW][C]272[/C][C]6[/C][C]6.51470588235294[/C][C]-0.514705882352941[/C][/ROW]
[ROW][C]273[/C][C]5[/C][C]5.90196078431373[/C][C]-0.901960784313726[/C][/ROW]
[ROW][C]274[/C][C]5[/C][C]5.09701492537313[/C][C]-0.0970149253731343[/C][/ROW]
[ROW][C]275[/C][C]5[/C][C]5.09701492537313[/C][C]-0.0970149253731343[/C][/ROW]
[ROW][C]276[/C][C]6[/C][C]5.90196078431373[/C][C]0.0980392156862742[/C][/ROW]
[ROW][C]277[/C][C]6[/C][C]5.37864077669903[/C][C]0.621359223300971[/C][/ROW]
[ROW][C]278[/C][C]6[/C][C]6.51470588235294[/C][C]-0.514705882352941[/C][/ROW]
[ROW][C]279[/C][C]8[/C][C]6.51470588235294[/C][C]1.48529411764706[/C][/ROW]
[ROW][C]280[/C][C]7[/C][C]6.51470588235294[/C][C]0.485294117647059[/C][/ROW]
[ROW][C]281[/C][C]6[/C][C]6.30769230769231[/C][C]-0.307692307692307[/C][/ROW]
[ROW][C]282[/C][C]7[/C][C]6.51470588235294[/C][C]0.485294117647059[/C][/ROW]
[ROW][C]283[/C][C]5[/C][C]5.37864077669903[/C][C]-0.378640776699029[/C][/ROW]
[ROW][C]284[/C][C]7[/C][C]6.51470588235294[/C][C]0.485294117647059[/C][/ROW]
[ROW][C]285[/C][C]5[/C][C]5.09701492537313[/C][C]-0.0970149253731343[/C][/ROW]
[ROW][C]286[/C][C]5[/C][C]5.09701492537313[/C][C]-0.0970149253731343[/C][/ROW]
[ROW][C]287[/C][C]6[/C][C]5.97916666666667[/C][C]0.020833333333333[/C][/ROW]
[ROW][C]288[/C][C]6[/C][C]5.90196078431373[/C][C]0.0980392156862742[/C][/ROW]
[ROW][C]289[/C][C]7[/C][C]6.51470588235294[/C][C]0.485294117647059[/C][/ROW]
[ROW][C]290[/C][C]5[/C][C]5.37864077669903[/C][C]-0.378640776699029[/C][/ROW]
[ROW][C]291[/C][C]7[/C][C]6.51470588235294[/C][C]0.485294117647059[/C][/ROW]
[ROW][C]292[/C][C]5[/C][C]5.97916666666667[/C][C]-0.979166666666667[/C][/ROW]
[ROW][C]293[/C][C]6[/C][C]6.51470588235294[/C][C]-0.514705882352941[/C][/ROW]
[ROW][C]294[/C][C]6[/C][C]5.97916666666667[/C][C]0.020833333333333[/C][/ROW]
[ROW][C]295[/C][C]6[/C][C]5.37864077669903[/C][C]0.621359223300971[/C][/ROW]
[ROW][C]296[/C][C]5[/C][C]5.37864077669903[/C][C]-0.378640776699029[/C][/ROW]
[ROW][C]297[/C][C]5[/C][C]5.390625[/C][C]-0.390625[/C][/ROW]
[ROW][C]298[/C][C]5[/C][C]5.09701492537313[/C][C]-0.0970149253731343[/C][/ROW]
[ROW][C]299[/C][C]5[/C][C]5.09701492537313[/C][C]-0.0970149253731343[/C][/ROW]
[ROW][C]300[/C][C]5[/C][C]5.09701492537313[/C][C]-0.0970149253731343[/C][/ROW]
[ROW][C]301[/C][C]6[/C][C]5.390625[/C][C]0.609375[/C][/ROW]
[ROW][C]302[/C][C]6[/C][C]5.97916666666667[/C][C]0.020833333333333[/C][/ROW]
[ROW][C]303[/C][C]5[/C][C]6.51470588235294[/C][C]-1.51470588235294[/C][/ROW]
[ROW][C]304[/C][C]5[/C][C]5.09701492537313[/C][C]-0.0970149253731343[/C][/ROW]
[ROW][C]305[/C][C]5[/C][C]5.09701492537313[/C][C]-0.0970149253731343[/C][/ROW]
[ROW][C]306[/C][C]6[/C][C]5.37864077669903[/C][C]0.621359223300971[/C][/ROW]
[ROW][C]307[/C][C]5[/C][C]5.09701492537313[/C][C]-0.0970149253731343[/C][/ROW]
[ROW][C]308[/C][C]6[/C][C]5.37864077669903[/C][C]0.621359223300971[/C][/ROW]
[ROW][C]309[/C][C]6[/C][C]5.37864077669903[/C][C]0.621359223300971[/C][/ROW]
[ROW][C]310[/C][C]6[/C][C]5.44444444444444[/C][C]0.555555555555555[/C][/ROW]
[ROW][C]311[/C][C]6[/C][C]5.37864077669903[/C][C]0.621359223300971[/C][/ROW]
[ROW][C]312[/C][C]6[/C][C]5.37864077669903[/C][C]0.621359223300971[/C][/ROW]
[ROW][C]313[/C][C]6[/C][C]5.37864077669903[/C][C]0.621359223300971[/C][/ROW]
[ROW][C]314[/C][C]5[/C][C]5.37864077669903[/C][C]-0.378640776699029[/C][/ROW]
[ROW][C]315[/C][C]5[/C][C]5.90196078431373[/C][C]-0.901960784313726[/C][/ROW]
[ROW][C]316[/C][C]6[/C][C]5.90196078431373[/C][C]0.0980392156862742[/C][/ROW]
[ROW][C]317[/C][C]5[/C][C]5.90196078431373[/C][C]-0.901960784313726[/C][/ROW]
[ROW][C]318[/C][C]6[/C][C]5.90196078431373[/C][C]0.0980392156862742[/C][/ROW]
[ROW][C]319[/C][C]7[/C][C]5.90196078431373[/C][C]1.09803921568627[/C][/ROW]
[ROW][C]320[/C][C]6[/C][C]5.90196078431373[/C][C]0.0980392156862742[/C][/ROW]
[ROW][C]321[/C][C]7[/C][C]5.90196078431373[/C][C]1.09803921568627[/C][/ROW]
[ROW][C]322[/C][C]5[/C][C]5.09701492537313[/C][C]-0.0970149253731343[/C][/ROW]
[ROW][C]323[/C][C]5[/C][C]5.09701492537313[/C][C]-0.0970149253731343[/C][/ROW]
[ROW][C]324[/C][C]6[/C][C]5.09701492537313[/C][C]0.902985074626866[/C][/ROW]
[ROW][C]325[/C][C]6[/C][C]5.37864077669903[/C][C]0.621359223300971[/C][/ROW]
[ROW][C]326[/C][C]6[/C][C]5.37864077669903[/C][C]0.621359223300971[/C][/ROW]
[ROW][C]327[/C][C]7[/C][C]6.51470588235294[/C][C]0.485294117647059[/C][/ROW]
[ROW][C]328[/C][C]5[/C][C]6.51470588235294[/C][C]-1.51470588235294[/C][/ROW]
[ROW][C]329[/C][C]6[/C][C]6.30769230769231[/C][C]-0.307692307692307[/C][/ROW]
[ROW][C]330[/C][C]5[/C][C]5.37864077669903[/C][C]-0.378640776699029[/C][/ROW]
[ROW][C]331[/C][C]6[/C][C]6.51470588235294[/C][C]-0.514705882352941[/C][/ROW]
[ROW][C]332[/C][C]6[/C][C]6.51470588235294[/C][C]-0.514705882352941[/C][/ROW]
[ROW][C]333[/C][C]6[/C][C]5.09701492537313[/C][C]0.902985074626866[/C][/ROW]
[ROW][C]334[/C][C]5[/C][C]5.390625[/C][C]-0.390625[/C][/ROW]
[ROW][C]335[/C][C]7[/C][C]6.51470588235294[/C][C]0.485294117647059[/C][/ROW]
[ROW][C]336[/C][C]7[/C][C]6.51470588235294[/C][C]0.485294117647059[/C][/ROW]
[ROW][C]337[/C][C]6[/C][C]5.97916666666667[/C][C]0.020833333333333[/C][/ROW]
[ROW][C]338[/C][C]5[/C][C]5.90196078431373[/C][C]-0.901960784313726[/C][/ROW]
[ROW][C]339[/C][C]6[/C][C]5.90196078431373[/C][C]0.0980392156862742[/C][/ROW]
[ROW][C]340[/C][C]7[/C][C]6.30769230769231[/C][C]0.692307692307693[/C][/ROW]
[ROW][C]341[/C][C]6[/C][C]5.37864077669903[/C][C]0.621359223300971[/C][/ROW]
[ROW][C]342[/C][C]6[/C][C]6.51470588235294[/C][C]-0.514705882352941[/C][/ROW]
[ROW][C]343[/C][C]6[/C][C]5.37864077669903[/C][C]0.621359223300971[/C][/ROW]
[ROW][C]344[/C][C]6[/C][C]5.37864077669903[/C][C]0.621359223300971[/C][/ROW]
[ROW][C]345[/C][C]6[/C][C]6.51470588235294[/C][C]-0.514705882352941[/C][/ROW]
[ROW][C]346[/C][C]5[/C][C]5.90196078431373[/C][C]-0.901960784313726[/C][/ROW]
[ROW][C]347[/C][C]7[/C][C]6.51470588235294[/C][C]0.485294117647059[/C][/ROW]
[ROW][C]348[/C][C]6[/C][C]6.51470588235294[/C][C]-0.514705882352941[/C][/ROW]
[ROW][C]349[/C][C]6[/C][C]6.51470588235294[/C][C]-0.514705882352941[/C][/ROW]
[ROW][C]350[/C][C]6[/C][C]5.09701492537313[/C][C]0.902985074626866[/C][/ROW]
[ROW][C]351[/C][C]6[/C][C]6.51470588235294[/C][C]-0.514705882352941[/C][/ROW]
[ROW][C]352[/C][C]6[/C][C]5.09701492537313[/C][C]0.902985074626866[/C][/ROW]
[ROW][C]353[/C][C]5[/C][C]5.09701492537313[/C][C]-0.0970149253731343[/C][/ROW]
[ROW][C]354[/C][C]5[/C][C]5[/C][C]0[/C][/ROW]
[ROW][C]355[/C][C]6[/C][C]5.390625[/C][C]0.609375[/C][/ROW]
[ROW][C]356[/C][C]6[/C][C]5.97916666666667[/C][C]0.020833333333333[/C][/ROW]
[ROW][C]357[/C][C]5[/C][C]5.90196078431373[/C][C]-0.901960784313726[/C][/ROW]
[ROW][C]358[/C][C]7[/C][C]6.51470588235294[/C][C]0.485294117647059[/C][/ROW]
[ROW][C]359[/C][C]7[/C][C]6.51470588235294[/C][C]0.485294117647059[/C][/ROW]
[ROW][C]360[/C][C]6[/C][C]5.37864077669903[/C][C]0.621359223300971[/C][/ROW]
[ROW][C]361[/C][C]5[/C][C]5.09701492537313[/C][C]-0.0970149253731343[/C][/ROW]
[ROW][C]362[/C][C]6[/C][C]5.90196078431373[/C][C]0.0980392156862742[/C][/ROW]
[ROW][C]363[/C][C]5[/C][C]5.390625[/C][C]-0.390625[/C][/ROW]
[ROW][C]364[/C][C]5[/C][C]5.97916666666667[/C][C]-0.979166666666667[/C][/ROW]
[ROW][C]365[/C][C]7[/C][C]6.51470588235294[/C][C]0.485294117647059[/C][/ROW]
[ROW][C]366[/C][C]6[/C][C]6.51470588235294[/C][C]-0.514705882352941[/C][/ROW]
[ROW][C]367[/C][C]7[/C][C]6.51470588235294[/C][C]0.485294117647059[/C][/ROW]
[ROW][C]368[/C][C]5[/C][C]5.09701492537313[/C][C]-0.0970149253731343[/C][/ROW]
[ROW][C]369[/C][C]5[/C][C]5.37864077669903[/C][C]-0.378640776699029[/C][/ROW]
[ROW][C]370[/C][C]7[/C][C]5.97916666666667[/C][C]1.02083333333333[/C][/ROW]
[ROW][C]371[/C][C]5[/C][C]5.90196078431373[/C][C]-0.901960784313726[/C][/ROW]
[ROW][C]372[/C][C]6[/C][C]5.44444444444444[/C][C]0.555555555555555[/C][/ROW]
[ROW][C]373[/C][C]6[/C][C]5.97916666666667[/C][C]0.020833333333333[/C][/ROW]
[ROW][C]374[/C][C]5[/C][C]5.09701492537313[/C][C]-0.0970149253731343[/C][/ROW]
[ROW][C]375[/C][C]6[/C][C]6.51470588235294[/C][C]-0.514705882352941[/C][/ROW]
[ROW][C]376[/C][C]7[/C][C]6.51470588235294[/C][C]0.485294117647059[/C][/ROW]
[ROW][C]377[/C][C]6[/C][C]6.51470588235294[/C][C]-0.514705882352941[/C][/ROW]
[ROW][C]378[/C][C]7[/C][C]5.97916666666667[/C][C]1.02083333333333[/C][/ROW]
[ROW][C]379[/C][C]6[/C][C]6.51470588235294[/C][C]-0.514705882352941[/C][/ROW]
[ROW][C]380[/C][C]6[/C][C]5.90196078431373[/C][C]0.0980392156862742[/C][/ROW]
[ROW][C]381[/C][C]6[/C][C]6.30769230769231[/C][C]-0.307692307692307[/C][/ROW]
[ROW][C]382[/C][C]6[/C][C]6.51470588235294[/C][C]-0.514705882352941[/C][/ROW]
[ROW][C]383[/C][C]6[/C][C]6.30769230769231[/C][C]-0.307692307692307[/C][/ROW]
[ROW][C]384[/C][C]6[/C][C]6.30769230769231[/C][C]-0.307692307692307[/C][/ROW]
[ROW][C]385[/C][C]5[/C][C]5.37864077669903[/C][C]-0.378640776699029[/C][/ROW]
[ROW][C]386[/C][C]6[/C][C]5.09701492537313[/C][C]0.902985074626866[/C][/ROW]
[ROW][C]387[/C][C]6[/C][C]5.37864077669903[/C][C]0.621359223300971[/C][/ROW]
[ROW][C]388[/C][C]6[/C][C]5.09701492537313[/C][C]0.902985074626866[/C][/ROW]
[ROW][C]389[/C][C]6[/C][C]5.37864077669903[/C][C]0.621359223300971[/C][/ROW]
[ROW][C]390[/C][C]7[/C][C]6.51470588235294[/C][C]0.485294117647059[/C][/ROW]
[ROW][C]391[/C][C]8[/C][C]5.90196078431373[/C][C]2.09803921568627[/C][/ROW]
[ROW][C]392[/C][C]6[/C][C]6.51470588235294[/C][C]-0.514705882352941[/C][/ROW]
[ROW][C]393[/C][C]5[/C][C]5.37864077669903[/C][C]-0.378640776699029[/C][/ROW]
[ROW][C]394[/C][C]5[/C][C]5.09701492537313[/C][C]-0.0970149253731343[/C][/ROW]
[ROW][C]395[/C][C]5[/C][C]5.390625[/C][C]-0.390625[/C][/ROW]
[ROW][C]396[/C][C]7[/C][C]6.51470588235294[/C][C]0.485294117647059[/C][/ROW]
[ROW][C]397[/C][C]5[/C][C]5.390625[/C][C]-0.390625[/C][/ROW]
[ROW][C]398[/C][C]6[/C][C]6.51470588235294[/C][C]-0.514705882352941[/C][/ROW]
[ROW][C]399[/C][C]6[/C][C]6.51470588235294[/C][C]-0.514705882352941[/C][/ROW]
[ROW][C]400[/C][C]5[/C][C]5.09701492537313[/C][C]-0.0970149253731343[/C][/ROW]
[ROW][C]401[/C][C]5[/C][C]5.390625[/C][C]-0.390625[/C][/ROW]
[ROW][C]402[/C][C]6[/C][C]5.390625[/C][C]0.609375[/C][/ROW]
[ROW][C]403[/C][C]6[/C][C]5.90196078431373[/C][C]0.0980392156862742[/C][/ROW]
[ROW][C]404[/C][C]6[/C][C]6.51470588235294[/C][C]-0.514705882352941[/C][/ROW]
[ROW][C]405[/C][C]5[/C][C]5.09701492537313[/C][C]-0.0970149253731343[/C][/ROW]
[ROW][C]406[/C][C]6[/C][C]5.97916666666667[/C][C]0.020833333333333[/C][/ROW]
[ROW][C]407[/C][C]6[/C][C]6.51470588235294[/C][C]-0.514705882352941[/C][/ROW]
[ROW][C]408[/C][C]7[/C][C]6.51470588235294[/C][C]0.485294117647059[/C][/ROW]
[ROW][C]409[/C][C]6[/C][C]6.51470588235294[/C][C]-0.514705882352941[/C][/ROW]
[ROW][C]410[/C][C]4[/C][C]5.37864077669903[/C][C]-1.37864077669903[/C][/ROW]
[ROW][C]411[/C][C]6[/C][C]5.37864077669903[/C][C]0.621359223300971[/C][/ROW]
[ROW][C]412[/C][C]5[/C][C]5.37864077669903[/C][C]-0.378640776699029[/C][/ROW]
[ROW][C]413[/C][C]5[/C][C]5.09701492537313[/C][C]-0.0970149253731343[/C][/ROW]
[ROW][C]414[/C][C]7[/C][C]6.51470588235294[/C][C]0.485294117647059[/C][/ROW]
[ROW][C]415[/C][C]5[/C][C]5.37864077669903[/C][C]-0.378640776699029[/C][/ROW]
[ROW][C]416[/C][C]5[/C][C]5.09701492537313[/C][C]-0.0970149253731343[/C][/ROW]
[ROW][C]417[/C][C]6[/C][C]5.97916666666667[/C][C]0.020833333333333[/C][/ROW]
[ROW][C]418[/C][C]5[/C][C]5.390625[/C][C]-0.390625[/C][/ROW]
[ROW][C]419[/C][C]6[/C][C]5.97916666666667[/C][C]0.020833333333333[/C][/ROW]
[ROW][C]420[/C][C]5[/C][C]5.90196078431373[/C][C]-0.901960784313726[/C][/ROW]
[ROW][C]421[/C][C]7[/C][C]5.90196078431373[/C][C]1.09803921568627[/C][/ROW]
[ROW][C]422[/C][C]7[/C][C]5.390625[/C][C]1.609375[/C][/ROW]
[ROW][C]423[/C][C]5[/C][C]5.390625[/C][C]-0.390625[/C][/ROW]
[ROW][C]424[/C][C]7[/C][C]5.97916666666667[/C][C]1.02083333333333[/C][/ROW]
[ROW][C]425[/C][C]5[/C][C]5.390625[/C][C]-0.390625[/C][/ROW]
[ROW][C]426[/C][C]7[/C][C]5.390625[/C][C]1.609375[/C][/ROW]
[ROW][C]427[/C][C]6[/C][C]5.390625[/C][C]0.609375[/C][/ROW]
[ROW][C]428[/C][C]6[/C][C]5.390625[/C][C]0.609375[/C][/ROW]
[ROW][C]429[/C][C]5[/C][C]5.37864077669903[/C][C]-0.378640776699029[/C][/ROW]
[ROW][C]430[/C][C]6[/C][C]5.97916666666667[/C][C]0.020833333333333[/C][/ROW]
[ROW][C]431[/C][C]7[/C][C]5.97916666666667[/C][C]1.02083333333333[/C][/ROW]
[ROW][C]432[/C][C]5[/C][C]5.09701492537313[/C][C]-0.0970149253731343[/C][/ROW]
[ROW][C]433[/C][C]6[/C][C]5.97916666666667[/C][C]0.020833333333333[/C][/ROW]
[ROW][C]434[/C][C]5[/C][C]5.37864077669903[/C][C]-0.378640776699029[/C][/ROW]
[ROW][C]435[/C][C]6[/C][C]5.90196078431373[/C][C]0.0980392156862742[/C][/ROW]
[ROW][C]436[/C][C]5[/C][C]5.37864077669903[/C][C]-0.378640776699029[/C][/ROW]
[ROW][C]437[/C][C]6[/C][C]5.390625[/C][C]0.609375[/C][/ROW]
[ROW][C]438[/C][C]6[/C][C]6.51470588235294[/C][C]-0.514705882352941[/C][/ROW]
[ROW][C]439[/C][C]6[/C][C]5.90196078431373[/C][C]0.0980392156862742[/C][/ROW]
[ROW][C]440[/C][C]5[/C][C]5.09701492537313[/C][C]-0.0970149253731343[/C][/ROW]
[ROW][C]441[/C][C]8[/C][C]6.30769230769231[/C][C]1.69230769230769[/C][/ROW]
[ROW][C]442[/C][C]6[/C][C]5.97916666666667[/C][C]0.020833333333333[/C][/ROW]
[ROW][C]443[/C][C]7[/C][C]6.51470588235294[/C][C]0.485294117647059[/C][/ROW]
[ROW][C]444[/C][C]7[/C][C]6.51470588235294[/C][C]0.485294117647059[/C][/ROW]
[ROW][C]445[/C][C]7[/C][C]5.97916666666667[/C][C]1.02083333333333[/C][/ROW]
[ROW][C]446[/C][C]6[/C][C]5.390625[/C][C]0.609375[/C][/ROW]
[ROW][C]447[/C][C]5[/C][C]5.90196078431373[/C][C]-0.901960784313726[/C][/ROW]
[ROW][C]448[/C][C]5[/C][C]5.97916666666667[/C][C]-0.979166666666667[/C][/ROW]
[ROW][C]449[/C][C]6[/C][C]5.390625[/C][C]0.609375[/C][/ROW]
[ROW][C]450[/C][C]6[/C][C]6.51470588235294[/C][C]-0.514705882352941[/C][/ROW]
[ROW][C]451[/C][C]6[/C][C]6.51470588235294[/C][C]-0.514705882352941[/C][/ROW]
[ROW][C]452[/C][C]6[/C][C]5.37864077669903[/C][C]0.621359223300971[/C][/ROW]
[ROW][C]453[/C][C]6[/C][C]5.97916666666667[/C][C]0.020833333333333[/C][/ROW]
[ROW][C]454[/C][C]7[/C][C]6.51470588235294[/C][C]0.485294117647059[/C][/ROW]
[ROW][C]455[/C][C]5[/C][C]5.90196078431373[/C][C]-0.901960784313726[/C][/ROW]
[ROW][C]456[/C][C]8[/C][C]6.51470588235294[/C][C]1.48529411764706[/C][/ROW]
[ROW][C]457[/C][C]5[/C][C]5.390625[/C][C]-0.390625[/C][/ROW]
[ROW][C]458[/C][C]5[/C][C]5.09701492537313[/C][C]-0.0970149253731343[/C][/ROW]
[ROW][C]459[/C][C]7[/C][C]6.51470588235294[/C][C]0.485294117647059[/C][/ROW]
[ROW][C]460[/C][C]3[/C][C]5.09701492537313[/C][C]-2.09701492537313[/C][/ROW]
[ROW][C]461[/C][C]6[/C][C]5.97916666666667[/C][C]0.020833333333333[/C][/ROW]
[ROW][C]462[/C][C]5[/C][C]5.09701492537313[/C][C]-0.0970149253731343[/C][/ROW]
[ROW][C]463[/C][C]5[/C][C]6.51470588235294[/C][C]-1.51470588235294[/C][/ROW]
[ROW][C]464[/C][C]5[/C][C]5.09701492537313[/C][C]-0.0970149253731343[/C][/ROW]
[ROW][C]465[/C][C]6[/C][C]6.30769230769231[/C][C]-0.307692307692307[/C][/ROW]
[ROW][C]466[/C][C]5[/C][C]5.44444444444444[/C][C]-0.444444444444445[/C][/ROW]
[ROW][C]467[/C][C]6[/C][C]5.90196078431373[/C][C]0.0980392156862742[/C][/ROW]
[ROW][C]468[/C][C]6[/C][C]6.51470588235294[/C][C]-0.514705882352941[/C][/ROW]
[ROW][C]469[/C][C]6[/C][C]5.37864077669903[/C][C]0.621359223300971[/C][/ROW]
[ROW][C]470[/C][C]5[/C][C]5.09701492537313[/C][C]-0.0970149253731343[/C][/ROW]
[ROW][C]471[/C][C]5[/C][C]6.51470588235294[/C][C]-1.51470588235294[/C][/ROW]
[ROW][C]472[/C][C]6[/C][C]5.90196078431373[/C][C]0.0980392156862742[/C][/ROW]
[ROW][C]473[/C][C]6[/C][C]5.90196078431373[/C][C]0.0980392156862742[/C][/ROW]
[ROW][C]474[/C][C]5[/C][C]5.97916666666667[/C][C]-0.979166666666667[/C][/ROW]
[ROW][C]475[/C][C]6[/C][C]6.30769230769231[/C][C]-0.307692307692307[/C][/ROW]
[ROW][C]476[/C][C]5[/C][C]5.97916666666667[/C][C]-0.979166666666667[/C][/ROW]
[ROW][C]477[/C][C]5[/C][C]5.44444444444444[/C][C]-0.444444444444445[/C][/ROW]
[ROW][C]478[/C][C]6[/C][C]5.97916666666667[/C][C]0.020833333333333[/C][/ROW]
[ROW][C]479[/C][C]5[/C][C]5.97916666666667[/C][C]-0.979166666666667[/C][/ROW]
[ROW][C]480[/C][C]6[/C][C]6.51470588235294[/C][C]-0.514705882352941[/C][/ROW]
[ROW][C]481[/C][C]5[/C][C]6.30769230769231[/C][C]-1.30769230769231[/C][/ROW]
[ROW][C]482[/C][C]8[/C][C]6.51470588235294[/C][C]1.48529411764706[/C][/ROW]
[ROW][C]483[/C][C]5[/C][C]5.37864077669903[/C][C]-0.378640776699029[/C][/ROW]
[ROW][C]484[/C][C]5[/C][C]5.37864077669903[/C][C]-0.378640776699029[/C][/ROW]
[ROW][C]485[/C][C]6[/C][C]6.51470588235294[/C][C]-0.514705882352941[/C][/ROW]
[ROW][C]486[/C][C]5[/C][C]5.390625[/C][C]-0.390625[/C][/ROW]
[ROW][C]487[/C][C]5[/C][C]5.390625[/C][C]-0.390625[/C][/ROW]
[ROW][C]488[/C][C]6[/C][C]5.390625[/C][C]0.609375[/C][/ROW]
[ROW][C]489[/C][C]7[/C][C]5.90196078431373[/C][C]1.09803921568627[/C][/ROW]
[ROW][C]490[/C][C]6[/C][C]6.51470588235294[/C][C]-0.514705882352941[/C][/ROW]
[ROW][C]491[/C][C]6[/C][C]5.90196078431373[/C][C]0.0980392156862742[/C][/ROW]
[ROW][C]492[/C][C]7[/C][C]6.51470588235294[/C][C]0.485294117647059[/C][/ROW]
[ROW][C]493[/C][C]7[/C][C]6.51470588235294[/C][C]0.485294117647059[/C][/ROW]
[ROW][C]494[/C][C]6[/C][C]5.90196078431373[/C][C]0.0980392156862742[/C][/ROW]
[ROW][C]495[/C][C]6[/C][C]5.390625[/C][C]0.609375[/C][/ROW]
[ROW][C]496[/C][C]8[/C][C]6.51470588235294[/C][C]1.48529411764706[/C][/ROW]
[ROW][C]497[/C][C]6[/C][C]5.37864077669903[/C][C]0.621359223300971[/C][/ROW]
[ROW][C]498[/C][C]5[/C][C]5.90196078431373[/C][C]-0.901960784313726[/C][/ROW]
[ROW][C]499[/C][C]8[/C][C]6.51470588235294[/C][C]1.48529411764706[/C][/ROW]
[ROW][C]500[/C][C]6[/C][C]5.90196078431373[/C][C]0.0980392156862742[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=154410&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154410&T=2

As an alternative you can also use a QR Code:

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

Actuals, Predictions, and Residuals
#	Actuals	Forecasts	Residuals
1	5	5.09701492537313	-0.0970149253731343
2	5	5.09701492537313	-0.0970149253731343
3	5	5.09701492537313	-0.0970149253731343
4	6	6.30769230769231	-0.307692307692307
5	5	5.09701492537313	-0.0970149253731343
6	5	5.09701492537313	-0.0970149253731343
7	5	5.09701492537313	-0.0970149253731343
8	7	5.390625	1.609375
9	7	5.09701492537313	1.90298507462687
10	5	5	0
11	5	5.09701492537313	-0.0970149253731343
12	5	5	0
13	5	5.390625	-0.390625
14	5	5.09701492537313	-0.0970149253731343
15	5	5.09701492537313	-0.0970149253731343
16	5	5.09701492537313	-0.0970149253731343
17	7	5.90196078431373	1.09803921568627
18	5	5.09701492537313	-0.0970149253731343
19	4	5.09701492537313	-1.09701492537313
20	6	5.37864077669903	0.621359223300971
21	6	5.44444444444444	0.555555555555555
22	5	5.37864077669903	-0.378640776699029
23	5	5.37864077669903	-0.378640776699029
24	5	5.37864077669903	-0.378640776699029
25	6	5.37864077669903	0.621359223300971
26	5	5.37864077669903	-0.378640776699029
27	5	5.37864077669903	-0.378640776699029
28	5	5.37864077669903	-0.378640776699029
29	5	5.09701492537313	-0.0970149253731343
30	6	5.09701492537313	0.902985074626866
31	5	5.390625	-0.390625
32	6	5.390625	0.609375
33	5	5.09701492537313	-0.0970149253731343
34	6	5.09701492537313	0.902985074626866
35	5	5.37864077669903	-0.378640776699029
36	6	5.09701492537313	0.902985074626866
37	6	5.97916666666667	0.020833333333333
38	7	5.37864077669903	1.62135922330097
39	4	5.09701492537313	-1.09701492537313
40	5	5	0
41	5	5	0
42	4	5.09701492537313	-1.09701492537313
43	6	6.51470588235294	-0.514705882352941
44	5	5.97916666666667	-0.979166666666667
45	5	5.09701492537313	-0.0970149253731343
46	4	5.390625	-1.390625
47	5	5.09701492537313	-0.0970149253731343
48	5	5.44444444444444	-0.444444444444445
49	5	5.37864077669903	-0.378640776699029
50	5	5.44444444444444	-0.444444444444445
51	5	5.09701492537313	-0.0970149253731343
52	6	5.37864077669903	0.621359223300971
53	6	5.37864077669903	0.621359223300971
54	5	5.37864077669903	-0.378640776699029
55	6	5.90196078431373	0.0980392156862742
56	5	5.09701492537313	-0.0970149253731343
57	5	5.37864077669903	-0.378640776699029
58	5	5.09701492537313	-0.0970149253731343
59	5	5.390625	-0.390625
60	6	5.37864077669903	0.621359223300971
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410	4	5.37864077669903	-1.37864077669903
411	6	5.37864077669903	0.621359223300971
412	5	5.37864077669903	-0.378640776699029
413	5	5.09701492537313	-0.0970149253731343
414	7	6.51470588235294	0.485294117647059
415	5	5.37864077669903	-0.378640776699029
416	5	5.09701492537313	-0.0970149253731343
417	6	5.97916666666667	0.020833333333333
418	5	5.390625	-0.390625
419	6	5.97916666666667	0.020833333333333
420	5	5.90196078431373	-0.901960784313726
421	7	5.90196078431373	1.09803921568627
422	7	5.390625	1.609375
423	5	5.390625	-0.390625
424	7	5.97916666666667	1.02083333333333
425	5	5.390625	-0.390625
426	7	5.390625	1.609375
427	6	5.390625	0.609375
428	6	5.390625	0.609375
429	5	5.37864077669903	-0.378640776699029
430	6	5.97916666666667	0.020833333333333
431	7	5.97916666666667	1.02083333333333
432	5	5.09701492537313	-0.0970149253731343
433	6	5.97916666666667	0.020833333333333
434	5	5.37864077669903	-0.378640776699029
435	6	5.90196078431373	0.0980392156862742
436	5	5.37864077669903	-0.378640776699029
437	6	5.390625	0.609375
438	6	6.51470588235294	-0.514705882352941
439	6	5.90196078431373	0.0980392156862742
440	5	5.09701492537313	-0.0970149253731343
441	8	6.30769230769231	1.69230769230769
442	6	5.97916666666667	0.020833333333333
443	7	6.51470588235294	0.485294117647059
444	7	6.51470588235294	0.485294117647059
445	7	5.97916666666667	1.02083333333333
446	6	5.390625	0.609375
447	5	5.90196078431373	-0.901960784313726
448	5	5.97916666666667	-0.979166666666667
449	6	5.390625	0.609375
450	6	6.51470588235294	-0.514705882352941
451	6	6.51470588235294	-0.514705882352941
452	6	5.37864077669903	0.621359223300971
453	6	5.97916666666667	0.020833333333333
454	7	6.51470588235294	0.485294117647059
455	5	5.90196078431373	-0.901960784313726
456	8	6.51470588235294	1.48529411764706
457	5	5.390625	-0.390625
458	5	5.09701492537313	-0.0970149253731343
459	7	6.51470588235294	0.485294117647059
460	3	5.09701492537313	-2.09701492537313
461	6	5.97916666666667	0.020833333333333
462	5	5.09701492537313	-0.0970149253731343
463	5	6.51470588235294	-1.51470588235294
464	5	5.09701492537313	-0.0970149253731343
465	6	6.30769230769231	-0.307692307692307
466	5	5.44444444444444	-0.444444444444445
467	6	5.90196078431373	0.0980392156862742
468	6	6.51470588235294	-0.514705882352941
469	6	5.37864077669903	0.621359223300971
470	5	5.09701492537313	-0.0970149253731343
471	5	6.51470588235294	-1.51470588235294
472	6	5.90196078431373	0.0980392156862742
473	6	5.90196078431373	0.0980392156862742
474	5	5.97916666666667	-0.979166666666667
475	6	6.30769230769231	-0.307692307692307
476	5	5.97916666666667	-0.979166666666667
477	5	5.44444444444444	-0.444444444444445
478	6	5.97916666666667	0.020833333333333
479	5	5.97916666666667	-0.979166666666667
480	6	6.51470588235294	-0.514705882352941
481	5	6.30769230769231	-1.30769230769231
482	8	6.51470588235294	1.48529411764706
483	5	5.37864077669903	-0.378640776699029
484	5	5.37864077669903	-0.378640776699029
485	6	6.51470588235294	-0.514705882352941
486	5	5.390625	-0.390625
487	5	5.390625	-0.390625
488	6	5.390625	0.609375
489	7	5.90196078431373	1.09803921568627
490	6	6.51470588235294	-0.514705882352941
491	6	5.90196078431373	0.0980392156862742
492	7	6.51470588235294	0.485294117647059
493	7	6.51470588235294	0.485294117647059
494	6	5.90196078431373	0.0980392156862742
495	6	5.390625	0.609375
496	8	6.51470588235294	1.48529411764706
497	6	5.37864077669903	0.621359223300971
498	5	5.90196078431373	-0.901960784313726
499	8	6.51470588235294	1.48529411764706
500	6	5.90196078431373	0.0980392156862742

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Figure 3

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 12 ; par2 = none ; par3 = 1 ; par4 = no ;

Parameters (R input):

par1 = 12 ; par2 = none ; par3 = 1 ; par4 = no ;

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

library(party)
library(Hmisc)
par1 <- as.numeric(par1)
par3 <- as.numeric(par3)
x <- data.frame(t(y))
is.data.frame(x)
x <- x[!is.na(x[,par1]),]
k <- length(x[1,])
n <- length(x[,1])
colnames(x)[par1]
x[,par1]
if (par2 == 'kmeans') {
cl <- kmeans(x[,par1], par3)
print(cl)
clm <- matrix(cbind(cl$centers,1:par3),ncol=2)
clm <- clm[sort.list(clm[,1]),]
for (i in 1:par3) {
cl$cluster[cl$cluster==clm[i,2]] <- paste('C',i,sep='')
}
cl$cluster <- as.factor(cl$cluster)
print(cl$cluster)
x[,par1] <- cl$cluster
}
if (par2 == 'quantiles') {
x[,par1] <- cut2(x[,par1],g=par3)
}
if (par2 == 'hclust') {
hc <- hclust(dist(x[,par1])^2, 'cen')
print(hc)
memb <- cutree(hc, k = par3)
dum <- c(mean(x[memb==1,par1]))
for (i in 2:par3) {
dum <- c(dum, mean(x[memb==i,par1]))
}
hcm <- matrix(cbind(dum,1:par3),ncol=2)
hcm <- hcm[sort.list(hcm[,1]),]
for (i in 1:par3) {
memb[memb==hcm[i,2]] <- paste('C',i,sep='')
}
memb <- as.factor(memb)
print(memb)
x[,par1] <- memb
}
if (par2=='equal') {
ed <- cut(as.numeric(x[,par1]),par3,labels=paste('C',1:par3,sep=''))
x[,par1] <- as.factor(ed)
}
table(x[,par1])
colnames(x)
colnames(x)[par1]
x[,par1]
if (par2 == 'none') {
m <- ctree(as.formula(paste(colnames(x)[par1],' ~ .',sep='')),data = x)
}
load(file='createtable')
if (par2 != 'none') {
m <- ctree(as.formula(paste('as.factor(',colnames(x)[par1],') ~ .',sep='')),data = x)
if (par4=='yes') {
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'10-Fold Cross Validation',3+2*par3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'',1,TRUE)
a<-table.element(a,'Prediction (training)',par3+1,TRUE)
a<-table.element(a,'Prediction (testing)',par3+1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Actual',1,TRUE)
for (jjj in 1:par3) a<-table.element(a,paste('C',jjj,sep=''),1,TRUE)
a<-table.element(a,'CV',1,TRUE)
for (jjj in 1:par3) a<-table.element(a,paste('C',jjj,sep=''),1,TRUE)
a<-table.element(a,'CV',1,TRUE)
a<-table.row.end(a)
for (i in 1:10) {
ind <- sample(2, nrow(x), replace=T, prob=c(0.9,0.1))
m.ct <- ctree(as.formula(paste('as.factor(',colnames(x)[par1],') ~ .',sep='')),data =x[ind==1,])
if (i==1) {
m.ct.i.pred <- predict(m.ct, newdata=x[ind==1,])
m.ct.i.actu <- x[ind==1,par1]
m.ct.x.pred <- predict(m.ct, newdata=x[ind==2,])
m.ct.x.actu <- x[ind==2,par1]
} else {
m.ct.i.pred <- c(m.ct.i.pred,predict(m.ct, newdata=x[ind==1,]))
m.ct.i.actu <- c(m.ct.i.actu,x[ind==1,par1])
m.ct.x.pred <- c(m.ct.x.pred,predict(m.ct, newdata=x[ind==2,]))
m.ct.x.actu <- c(m.ct.x.actu,x[ind==2,par1])
}
}
print(m.ct.i.tab <- table(m.ct.i.actu,m.ct.i.pred))
numer <- 0
for (i in 1:par3) {
print(m.ct.i.tab[i,i] / sum(m.ct.i.tab[i,]))
numer <- numer + m.ct.i.tab[i,i]
}
print(m.ct.i.cp <- numer / sum(m.ct.i.tab))
print(m.ct.x.tab <- table(m.ct.x.actu,m.ct.x.pred))
numer <- 0
for (i in 1:par3) {
print(m.ct.x.tab[i,i] / sum(m.ct.x.tab[i,]))
numer <- numer + m.ct.x.tab[i,i]
}
print(m.ct.x.cp <- numer / sum(m.ct.x.tab))
for (i in 1:par3) {
a<-table.row.start(a)
a<-table.element(a,paste('C',i,sep=''),1,TRUE)
for (jjj in 1:par3) a<-table.element(a,m.ct.i.tab[i,jjj])
a<-table.element(a,round(m.ct.i.tab[i,i]/sum(m.ct.i.tab[i,]),4))
for (jjj in 1:par3) a<-table.element(a,m.ct.x.tab[i,jjj])
a<-table.element(a,round(m.ct.x.tab[i,i]/sum(m.ct.x.tab[i,]),4))
a<-table.row.end(a)
}
a<-table.row.start(a)
a<-table.element(a,'Overall',1,TRUE)
for (jjj in 1:par3) a<-table.element(a,'-')
a<-table.element(a,round(m.ct.i.cp,4))
for (jjj in 1:par3) a<-table.element(a,'-')
a<-table.element(a,round(m.ct.x.cp,4))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable3.tab')
}
}
m
bitmap(file='test1.png')
plot(m)
dev.off()
bitmap(file='test1a.png')
plot(x[,par1] ~ as.factor(where(m)),main='Response by Terminal Node',xlab='Terminal Node',ylab='Response')
dev.off()
if (par2 == 'none') {
forec <- predict(m)
result <- as.data.frame(cbind(x[,par1],forec,x[,par1]-forec))
colnames(result) <- c('Actuals','Forecasts','Residuals')
print(result)
}
if (par2 != 'none') {
print(cbind(as.factor(x[,par1]),predict(m)))
myt <- table(as.factor(x[,par1]),predict(m))
print(myt)
}
bitmap(file='test2.png')
if(par2=='none') {
op <- par(mfrow=c(2,2))
plot(density(result$Actuals),main='Kernel Density Plot of Actuals')
plot(density(result$Residuals),main='Kernel Density Plot of Residuals')
plot(result$Forecasts,result$Actuals,main='Actuals versus Predictions',xlab='Predictions',ylab='Actuals')
plot(density(result$Forecasts),main='Kernel Density Plot of Predictions')
par(op)
}
if(par2!='none') {
plot(myt,main='Confusion Matrix',xlab='Actual',ylab='Predicted')
}
dev.off()
if (par2 == 'none') {
detcoef <- cor(result$Forecasts,result$Actuals)
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Goodness of Fit',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Correlation',1,TRUE)
a<-table.element(a,round(detcoef,4))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'R-squared',1,TRUE)
a<-table.element(a,round(detcoef*detcoef,4))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'RMSE',1,TRUE)
a<-table.element(a,round(sqrt(mean((result$Residuals)^2)),4))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable1.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Actuals, Predictions, and Residuals',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'#',header=TRUE)
a<-table.element(a,'Actuals',header=TRUE)
a<-table.element(a,'Forecasts',header=TRUE)
a<-table.element(a,'Residuals',header=TRUE)
a<-table.row.end(a)
for (i in 1:length(result$Actuals)) {
a<-table.row.start(a)
a<-table.element(a,i,header=TRUE)
a<-table.element(a,result$Actuals[i])
a<-table.element(a,result$Forecasts[i])
a<-table.element(a,result$Residuals[i])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
}
if (par2 != 'none') {
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Confusion Matrix (predicted in columns / actuals in rows)',par3+1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'',1,TRUE)
for (i in 1:par3) {
a<-table.element(a,paste('C',i,sep=''),1,TRUE)
}
a<-table.row.end(a)
for (i in 1:par3) {
a<-table.row.start(a)
a<-table.element(a,paste('C',i,sep=''),1,TRUE)
for (j in 1:par3) {
a<-table.element(a,myt[i,j])
}
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable2.tab')
}

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code