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*The author of this computation has been verified*

R Software Module

rwasp_pairs.wasp

Title produced by software

Kendall tau Correlation Matrix

Date of computation

Fri, 23 Dec 2011 03:54:38 -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/23/t1324630526g2zk4nb590np5xz.htm/, Retrieved Mon, 29 Apr 2024 19:16:40 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=160200, Retrieved Mon, 29 Apr 2024 19:16:40 +0000

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Estimated Impact

114

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

-       [Kendall tau Correlation Matrix] [] [2011-12-23 08:54:38] [5d1d3e74ee2cfe51b36819d331f689c0] [Current]

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1845	162687	95	595	115	0	48	21	82	73	20465	6200	23975	39	37
1796	201906	62	545	76	1	58	20	80	56	33629	10265	85634	46	43
192	7215	18	72	1	0	0	0	0	0	1423	603	1929	0	0
2444	146367	97	679	155	0	67	27	84	63	25629	8874	36294	54	54
3567	257045	139	1201	125	0	83	31	124	116	54002	20323	72255	93	86
6917	524450	265	1967	278	1	136	36	140	138	151036	26258	189748	198	181
1840	188294	58	595	89	1	65	23	88	71	33287	10165	61834	42	42
1740	195674	60	496	59	0	86	30	115	107	31172	8247	68167	59	59
2078	177020	44	670	87	0	62	30	109	50	28113	8683	38462	49	46
3097	325899	98	1039	130	1	71	27	108	81	57803	16957	101219	83	77
1946	121844	75	634	158	2	50	24	63	58	49830	8058	43270	49	49
2369	203938	71	743	120	0	88	30	118	91	52143	20488	76183	83	79
1883	107394	105	681	87	0	50	22	71	41	21055	7945	31476	39	37
3198	220751	120	1086	264	4	79	28	112	100	47007	13448	62157	93	92
1490	172905	62	419	51	4	56	18	63	61	28735	5389	46261	31	31
1573	156326	88	474	85	3	54	22	86	74	59147	6185	50063	29	28
1807	145178	58	442	100	0	81	37	148	147	78950	24369	64483	104	103
1309	89171	61	373	72	5	13	15	54	45	13497	70	2341	2	2
2820	172624	88	899	147	0	74	34	134	110	46154	17327	48149	46	48
757	32443	26	235	49	0	14	18	57	41	53249	3878	12743	27	25
1162	87927	62	399	40	0	31	15	59	37	10726	3149	18743	16	16
2817	241285	102	850	99	0	99	30	113	84	83700	20517	97057	108	106
1760	195820	72	642	127	1	38	25	96	67	40400	2570	17675	36	35
2315	146946	56	717	164	1	59	34	96	69	33797	5162	33106	33	33
1994	159763	89	619	41	1	54	21	78	58	36205	5299	53311	46	45
1806	207078	34	657	160	0	63	21	80	60	30165	7233	42754	65	64
2152	212394	166	691	92	0	66	25	93	88	58534	15657	59056	80	73
1457	201536	95	366	59	0	90	31	109	75	44663	15329	101621	81	78
3000	394662	121	994	89	0	72	31	115	98	92556	14881	118120	69	63
2234	217808	44	929	90	0	61	20	79	67	40078	16318	79572	69	69
1684	182286	44	490	76	0	61	28	103	84	34711	9556	42744	37	36
1626	181740	47	553	116	2	61	22	71	62	31076	10462	65931	45	41
2257	137978	107	738	92	4	53	17	66	35	74608	7192	38575	62	59
3373	255929	130	1028	361	0	118	25	100	74	58092	4362	28795	33	33
2571	236489	55	844	85	1	73	25	100	93	42009	14349	94440	77	76
1	0	1	0	0	0	0	0	0	0	0	0	0	0	0
2142	230761	64	1000	63	0	54	31	121	87	36022	10881	38229	34	27
1878	132807	54	629	138	3	54	14	51	39	23333	8022	31972	44	44
2190	157118	49	532	270	9	46	35	119	101	53349	13073	40071	43	43
2186	253254	68	811	64	0	83	34	136	135	92596	26641	132480	117	104
2532	269329	71	837	96	2	106	22	84	76	49598	14426	62797	125	120
1823	161273	61	682	62	0	44	34	136	118	44093	15604	40429	49	44
1095	107181	33	400	35	2	27	23	84	76	84205	9184	45545	76	71
2162	195891	79	804	59	1	64	24	92	65	63369	5989	57568	81	78
1365	139667	51	419	56	2	71	26	103	97	60132	11270	39019	111	106
1244	171101	98	334	41	2	44	23	85	70	37403	13958	53866	61	61
756	81407	33	216	49	1	23	35	106	63	24460	7162	38345	56	53
2417	247563	104	786	121	0	78	24	96	96	46456	13275	50210	54	51
2327	239807	90	752	113	1	60	31	124	112	66616	21224	80947	47	46
2786	172743	59	964	190	8	73	30	106	82	41554	10615	43461	55	55
658	48188	28	205	37	0	12	22	82	39	22346	2102	14812	14	14
2012	169355	70	506	52	0	104	23	87	69	30874	12396	37819	44	44
2602	315622	76	830	89	0	83	27	97	93	68701	18717	102738	115	113
2071	241518	79	694	73	0	57	30	107	76	35728	9724	54509	57	55
1911	195583	59	691	49	1	67	33	126	117	29010	9863	62956	48	46
1775	159913	57	547	77	8	44	12	43	31	23110	8374	55411	40	39
1918	220241	69	538	58	0	53	26	96	65	38844	8030	50611	51	51
1046	101694	25	329	75	1	26	26	100	78	27084	7509	26692	32	31
1178	151985	67	421	32	0	67	23	91	87	35139	14146	60056	36	36
2890	202536	99	972	59	10	36	38	136	85	57476	7768	25155	47	47
1836	173505	64	541	71	6	56	32	128	119	33277	13823	42840	51	53
2254	150518	83	836	91	0	52	21	83	65	31141	7230	39358	37	38
1392	141491	64	376	87	11	54	22	74	60	61281	10170	47241	52	52
1325	125612	38	467	48	3	57	26	96	67	25820	7573	49611	42	37
1317	166049	36	430	63	0	27	28	102	94	23284	5753	41833	11	11
1525	124197	42	483	41	0	58	33	122	100	35378	9791	48930	47	45
2335	195043	71	504	86	8	76	36	144	135	74990	19365	110600	59	59
2897	138708	65	887	152	2	93	25	90	71	29653	9422	52235	82	82
1118	116552	40	271	49	0	59	25	97	78	64622	12310	53986	49	49
340	31970	15	101	40	0	5	21	78	42	4157	1283	4105	6	6
2977	258158	115	1097	135	3	57	19	72	42	29245	6372	59331	83	81
1449	151184	78	469	83	1	42	12	45	8	50008	5413	47796	56	56
1550	135926	68	528	62	2	88	30	120	86	52338	10837	38302	114	105
1684	119629	72	475	91	1	53	21	59	41	13310	3394	14063	46	46
2728	171518	71	698	95	0	81	39	150	131	92901	12964	54414	46	46
1574	108949	45	425	82	2	35	32	117	91	10956	3495	9903	2	2
2413	183471	60	709	112	1	102	28	123	102	34241	11580	53987	51	51
2563	159966	98	824	70	0	71	29	114	91	75043	9970	88937	96	95
1079	93786	34	336	78	0	28	21	75	46	21152	4911	21928	20	18
1235	84971	72	395	105	0	34	31	114	60	42249	10138	29487	57	55
966	88797	75	228	49	0	54	26	94	69	42005	14697	35334	49	48
2246	304603	65	830	60	0	49	29	116	95	41152	8464	57596	51	48
1076	75101	30	334	49	1	30	23	86	17	14399	4204	29750	40	39
1637	145043	40	524	132	0	57	25	90	61	28263	10226	41029	40	40
1208	95827	48	393	49	0	54	22	87	55	17215	3456	12416	36	36
1865	173924	58	574	71	0	38	26	99	55	48140	8895	51158	64	60
2726	241957	237	672	102	0	63	33	132	124	62897	22557	79935	117	114
1208	115367	115	284	74	0	58	24	96	73	22883	6900	26552	40	39
1419	118408	64	450	49	7	46	24	91	73	41622	8620	25807	46	45
1609	164078	53	653	74	0	46	21	77	67	40715	7820	50620	61	59
1864	158931	41	684	59	5	51	28	104	66	65897	12112	61467	59	59
2412	184139	82	706	91	1	87	28	100	77	76542	13178	65292	94	93
1238	152856	58	417	68	0	39	25	94	83	37477	7028	55516	36	35
1462	144014	59	549	81	0	28	15	60	55	53216	6616	42006	51	47
973	62535	42	394	33	0	26	13	46	27	40911	9570	26273	39	36
2319	245196	117	730	166	0	52	36	135	115	57021	14612	90248	62	59
1890	199841	71	571	97	0	96	27	99	85	73116	11219	61476	79	79
223	19349	12	67	15	0	13	1	2	0	3895	786	9604	14	14
2526	247280	108	877	105	3	43	24	96	83	46609	11252	45108	45	42
2072	159408	83	856	61	0	42	31	109	90	29351	9289	47232	43	41
778	72128	30	306	11	0	30	4	15	4	2325	593	3439	8	8
1194	104253	26	382	45	0	59	21	68	60	31747	6562	30553	41	41
1424	151090	57	435	89	0	73	27	102	74	32665	8208	24751	25	24
1327	137382	65	336	67	1	39	23	84	52	19249	7488	34458	22	22
839	87448	42	227	27	1	36	12	46	24	15292	4574	24649	18	18
596	27676	22	194	59	0	2	16	59	17	5842	522	2342	3	1
1671	165507	50	410	127	0	102	29	116	105	33994	12840	52739	54	53
1167	132148	37	273	48	1	30	26	29	20	13018	1350	6245	6	6
0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
1105	95778	33	343	58	0	46	25	91	51	98177	10623	35381	50	49
1148	109001	67	376	57	0	25	21	76	76	37941	5322	19595	33	33
1485	158833	46	495	60	0	59	24	86	61	31032	7987	50848	54	50
1526	147690	63	448	77	1	60	21	84	70	32683	10566	39443	63	64
962	89887	63	313	71	0	36	21	65	38	34545	1900	27023	56	53
78	3616	5	14	5	0	0	0	0	0	0	0	0	0	0
0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
1184	199005	45	410	70	0	45	23	84	81	27525	10698	61022	49	48
1671	160930	92	606	76	0	79	33	114	78	66856	14884	63528	90	90
2142	177948	102	593	124	2	30	32	132	76	28549	6852	34835	51	46
1015	136061	39	312	56	0	43	23	92	89	38610	6873	37172	29	29
778	43410	19	292	63	0	7	1	3	3	2781	4	13	1	1
1856	184277	74	547	92	1	80	29	109	87	41211	9188	62548	68	64
1056	108858	43	302	58	0	32	20	81	55	22698	5141	31334	29	29
2234	141744	58	632	64	8	81	33	121	73	41194	4260	20839	27	27
731	60493	40	174	29	3	3	12	48	32	32689	443	5084	4	4
285	19764	12	75	19	1	10	2	8	4	5752	2416	9927	10	10
1872	177559	56	572	64	3	47	21	80	70	26757	9831	53229	47	47
1181	140281	35	389	79	0	35	28	107	102	22527	5953	29877	44	44
1725	164249	54	562	104	0	54	35	140	109	44810	9435	37310	53	51
256	11796	9	79	22	0	1	2	8	1	0	0	0	0	0
98	10674	9	33	7	0	0	0	0	0	0	0	0	0	0
1435	151322	59	487	37	0	46	18	56	39	100674	7642	50067	40	38
41	6836	3	11	5	0	0	1	4	0	0	0	0	0	0
1930	174712	67	664	48	6	51	21	70	45	57786	6837	47708	57	57
42	5118	3	6	1	0	5	0	0	0	0	0	0	0	0
528	40248	16	183	34	1	8	4	14	7	5444	775	6012	6	6
0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
1121	127628	50	342	53	0	38	29	104	86	28470	8191	27749	24	22
1305	88837	38	269	44	0	21	26	89	52	61849	1661	47555	34	34
81	7131	4	27	0	1	0	0	0	0	0	0	0	0	0
262	9056	15	99	18	0	0	4	12	1	2179	548	1336	10	10
1099	87957	26	305	52	1	18	19	60	49	8019	3080	11017	16	16
1290	144470	53	327	56	0	53	22	84	72	39644	13400	55184	93	93
1248	111408	20	459	50	1	17	22	88	56	23494	8181	43485	28	22

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	5 seconds
R Server	'Gertrude Mary Cox' @ cox.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 & 5 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=160200&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]5 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=160200&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=160200&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	5 seconds
R Server	'Gertrude Mary Cox' @ cox.wessa.net

Correlations for all pairs of data series (method=pearson)
	1	2	3	4	5	6	7	8	9	10	11	12	13	14	15
1	1	0.892	0.817	0.966	0.75	0.201	0.794	0.675	0.689	0.689	0.686	0.694	0.76	0.744	0.74
2	0.892	1	0.759	0.882	0.606	0.095	0.775	0.672	0.695	0.727	0.678	0.74	0.85	0.748	0.74
3	0.817	0.759	1	0.759	0.594	0.084	0.639	0.547	0.567	0.579	0.616	0.627	0.649	0.688	0.682
4	0.966	0.882	0.759	1	0.702	0.164	0.736	0.627	0.647	0.641	0.638	0.654	0.723	0.713	0.705
5	0.75	0.606	0.594	0.702	1	0.19	0.607	0.511	0.503	0.496	0.429	0.441	0.434	0.469	0.474
6	0.201	0.095	0.084	0.164	0.19	1	0.074	0.148	0.126	0.099	0.136	0.05	0.039	0.046	0.058
7	0.794	0.775	0.639	0.736	0.607	0.074	1	0.678	0.7	0.721	0.641	0.746	0.734	0.768	0.776
8	0.675	0.672	0.547	0.627	0.511	0.148	0.678	1	0.971	0.888	0.616	0.687	0.609	0.596	0.599
9	0.689	0.695	0.567	0.647	0.503	0.126	0.7	0.971	1	0.93	0.629	0.733	0.643	0.624	0.624
10	0.689	0.727	0.579	0.641	0.496	0.099	0.721	0.888	0.93	1	0.641	0.802	0.699	0.649	0.65
11	0.686	0.678	0.616	0.638	0.429	0.136	0.641	0.616	0.629	0.641	1	0.722	0.756	0.758	0.754
12	0.694	0.74	0.627	0.654	0.441	0.05	0.746	0.687	0.733	0.802	0.722	1	0.846	0.806	0.804
13	0.76	0.85	0.649	0.723	0.434	0.039	0.734	0.609	0.643	0.699	0.756	0.846	1	0.82	0.812
14	0.744	0.748	0.688	0.713	0.469	0.046	0.768	0.596	0.624	0.649	0.758	0.806	0.82	1	0.998
15	0.74	0.74	0.682	0.705	0.474	0.058	0.776	0.599	0.624	0.65	0.754	0.804	0.812	0.998	1

\begin{tabular}{lllllllll}
\hline

Correlations for all pairs of data series (method=pearson) \tabularnewline & 1 & 2 & 3 & 4 & 5 & 6 & 7 & 8 & 9 & 10 & 11 & 12 & 13 & 14 & 15 \tabularnewline 1 & 1 & 0.892 & 0.817 & 0.966 & 0.75 & 0.201 & 0.794 & 0.675 & 0.689 & 0.689 & 0.686 & 0.694 & 0.76 & 0.744 & 0.74 \tabularnewline 2 & 0.892 & 1 & 0.759 & 0.882 & 0.606 & 0.095 & 0.775 & 0.672 & 0.695 & 0.727 & 0.678 & 0.74 & 0.85 & 0.748 & 0.74 \tabularnewline 3 & 0.817 & 0.759 & 1 & 0.759 & 0.594 & 0.084 & 0.639 & 0.547 & 0.567 & 0.579 & 0.616 & 0.627 & 0.649 & 0.688 & 0.682 \tabularnewline 4 & 0.966 & 0.882 & 0.759 & 1 & 0.702 & 0.164 & 0.736 & 0.627 & 0.647 & 0.641 & 0.638 & 0.654 & 0.723 & 0.713 & 0.705 \tabularnewline 5 & 0.75 & 0.606 & 0.594 & 0.702 & 1 & 0.19 & 0.607 & 0.511 & 0.503 & 0.496 & 0.429 & 0.441 & 0.434 & 0.469 & 0.474 \tabularnewline 6 & 0.201 & 0.095 & 0.084 & 0.164 & 0.19 & 1 & 0.074 & 0.148 & 0.126 & 0.099 & 0.136 & 0.05 & 0.039 & 0.046 & 0.058 \tabularnewline 7 & 0.794 & 0.775 & 0.639 & 0.736 & 0.607 & 0.074 & 1 & 0.678 & 0.7 & 0.721 & 0.641 & 0.746 & 0.734 & 0.768 & 0.776 \tabularnewline 8 & 0.675 & 0.672 & 0.547 & 0.627 & 0.511 & 0.148 & 0.678 & 1 & 0.971 & 0.888 & 0.616 & 0.687 & 0.609 & 0.596 & 0.599 \tabularnewline 9 & 0.689 & 0.695 & 0.567 & 0.647 & 0.503 & 0.126 & 0.7 & 0.971 & 1 & 0.93 & 0.629 & 0.733 & 0.643 & 0.624 & 0.624 \tabularnewline 10 & 0.689 & 0.727 & 0.579 & 0.641 & 0.496 & 0.099 & 0.721 & 0.888 & 0.93 & 1 & 0.641 & 0.802 & 0.699 & 0.649 & 0.65 \tabularnewline 11 & 0.686 & 0.678 & 0.616 & 0.638 & 0.429 & 0.136 & 0.641 & 0.616 & 0.629 & 0.641 & 1 & 0.722 & 0.756 & 0.758 & 0.754 \tabularnewline 12 & 0.694 & 0.74 & 0.627 & 0.654 & 0.441 & 0.05 & 0.746 & 0.687 & 0.733 & 0.802 & 0.722 & 1 & 0.846 & 0.806 & 0.804 \tabularnewline 13 & 0.76 & 0.85 & 0.649 & 0.723 & 0.434 & 0.039 & 0.734 & 0.609 & 0.643 & 0.699 & 0.756 & 0.846 & 1 & 0.82 & 0.812 \tabularnewline 14 & 0.744 & 0.748 & 0.688 & 0.713 & 0.469 & 0.046 & 0.768 & 0.596 & 0.624 & 0.649 & 0.758 & 0.806 & 0.82 & 1 & 0.998 \tabularnewline 15 & 0.74 & 0.74 & 0.682 & 0.705 & 0.474 & 0.058 & 0.776 & 0.599 & 0.624 & 0.65 & 0.754 & 0.804 & 0.812 & 0.998 & 1 \tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=160200&T=1

[TABLE]
[ROW]

Correlations for all pairs of data series (method=pearson)[/C][/ROW] [ROW][C] [/C][C]1[/C][C]2[/C][C]3[/C][C]4[/C][C]5[/C][C]6[/C][C]7[/C][C]8[/C][C]9[/C][C]10[/C][C]11[/C][C]12[/C][C]13[/C][C]14[/C][C]15[/C][/ROW] [ROW][C]1[/C][C]1[/C][C]0.892[/C][C]0.817[/C][C]0.966[/C][C]0.75[/C][C]0.201[/C][C]0.794[/C][C]0.675[/C][C]0.689[/C][C]0.689[/C][C]0.686[/C][C]0.694[/C][C]0.76[/C][C]0.744[/C][C]0.74[/C][/ROW] [ROW][C]2[/C][C]0.892[/C][C]1[/C][C]0.759[/C][C]0.882[/C][C]0.606[/C][C]0.095[/C][C]0.775[/C][C]0.672[/C][C]0.695[/C][C]0.727[/C][C]0.678[/C][C]0.74[/C][C]0.85[/C][C]0.748[/C][C]0.74[/C][/ROW] [ROW][C]3[/C][C]0.817[/C][C]0.759[/C][C]1[/C][C]0.759[/C][C]0.594[/C][C]0.084[/C][C]0.639[/C][C]0.547[/C][C]0.567[/C][C]0.579[/C][C]0.616[/C][C]0.627[/C][C]0.649[/C][C]0.688[/C][C]0.682[/C][/ROW] [ROW][C]4[/C][C]0.966[/C][C]0.882[/C][C]0.759[/C][C]1[/C][C]0.702[/C][C]0.164[/C][C]0.736[/C][C]0.627[/C][C]0.647[/C][C]0.641[/C][C]0.638[/C][C]0.654[/C][C]0.723[/C][C]0.713[/C][C]0.705[/C][/ROW] [ROW][C]5[/C][C]0.75[/C][C]0.606[/C][C]0.594[/C][C]0.702[/C][C]1[/C][C]0.19[/C][C]0.607[/C][C]0.511[/C][C]0.503[/C][C]0.496[/C][C]0.429[/C][C]0.441[/C][C]0.434[/C][C]0.469[/C][C]0.474[/C][/ROW] [ROW][C]6[/C][C]0.201[/C][C]0.095[/C][C]0.084[/C][C]0.164[/C][C]0.19[/C][C]1[/C][C]0.074[/C][C]0.148[/C][C]0.126[/C][C]0.099[/C][C]0.136[/C][C]0.05[/C][C]0.039[/C][C]0.046[/C][C]0.058[/C][/ROW] [ROW][C]7[/C][C]0.794[/C][C]0.775[/C][C]0.639[/C][C]0.736[/C][C]0.607[/C][C]0.074[/C][C]1[/C][C]0.678[/C][C]0.7[/C][C]0.721[/C][C]0.641[/C][C]0.746[/C][C]0.734[/C][C]0.768[/C][C]0.776[/C][/ROW] [ROW][C]8[/C][C]0.675[/C][C]0.672[/C][C]0.547[/C][C]0.627[/C][C]0.511[/C][C]0.148[/C][C]0.678[/C][C]1[/C][C]0.971[/C][C]0.888[/C][C]0.616[/C][C]0.687[/C][C]0.609[/C][C]0.596[/C][C]0.599[/C][/ROW] [ROW][C]9[/C][C]0.689[/C][C]0.695[/C][C]0.567[/C][C]0.647[/C][C]0.503[/C][C]0.126[/C][C]0.7[/C][C]0.971[/C][C]1[/C][C]0.93[/C][C]0.629[/C][C]0.733[/C][C]0.643[/C][C]0.624[/C][C]0.624[/C][/ROW] [ROW][C]10[/C][C]0.689[/C][C]0.727[/C][C]0.579[/C][C]0.641[/C][C]0.496[/C][C]0.099[/C][C]0.721[/C][C]0.888[/C][C]0.93[/C][C]1[/C][C]0.641[/C][C]0.802[/C][C]0.699[/C][C]0.649[/C][C]0.65[/C][/ROW] [ROW][C]11[/C][C]0.686[/C][C]0.678[/C][C]0.616[/C][C]0.638[/C][C]0.429[/C][C]0.136[/C][C]0.641[/C][C]0.616[/C][C]0.629[/C][C]0.641[/C][C]1[/C][C]0.722[/C][C]0.756[/C][C]0.758[/C][C]0.754[/C][/ROW] [ROW][C]12[/C][C]0.694[/C][C]0.74[/C][C]0.627[/C][C]0.654[/C][C]0.441[/C][C]0.05[/C][C]0.746[/C][C]0.687[/C][C]0.733[/C][C]0.802[/C][C]0.722[/C][C]1[/C][C]0.846[/C][C]0.806[/C][C]0.804[/C][/ROW] [ROW][C]13[/C][C]0.76[/C][C]0.85[/C][C]0.649[/C][C]0.723[/C][C]0.434[/C][C]0.039[/C][C]0.734[/C][C]0.609[/C][C]0.643[/C][C]0.699[/C][C]0.756[/C][C]0.846[/C][C]1[/C][C]0.82[/C][C]0.812[/C][/ROW] [ROW][C]14[/C][C]0.744[/C][C]0.748[/C][C]0.688[/C][C]0.713[/C][C]0.469[/C][C]0.046[/C][C]0.768[/C][C]0.596[/C][C]0.624[/C][C]0.649[/C][C]0.758[/C][C]0.806[/C][C]0.82[/C][C]1[/C][C]0.998[/C][/ROW] [ROW][C]15[/C][C]0.74[/C][C]0.74[/C][C]0.682[/C][C]0.705[/C][C]0.474[/C][C]0.058[/C][C]0.776[/C][C]0.599[/C][C]0.624[/C][C]0.65[/C][C]0.754[/C][C]0.804[/C][C]0.812[/C][C]0.998[/C][C]1[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=160200&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=160200&T=1

As an alternative you can also use a QR Code:

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

Correlations for all pairs of data series (method=pearson)
	1	2	3	4	5	6	7	8	9	10	11	12	13	14	15
1	1	0.892	0.817	0.966	0.75	0.201	0.794	0.675	0.689	0.689	0.686	0.694	0.76	0.744	0.74
2	0.892	1	0.759	0.882	0.606	0.095	0.775	0.672	0.695	0.727	0.678	0.74	0.85	0.748	0.74
3	0.817	0.759	1	0.759	0.594	0.084	0.639	0.547	0.567	0.579	0.616	0.627	0.649	0.688	0.682
4	0.966	0.882	0.759	1	0.702	0.164	0.736	0.627	0.647	0.641	0.638	0.654	0.723	0.713	0.705
5	0.75	0.606	0.594	0.702	1	0.19	0.607	0.511	0.503	0.496	0.429	0.441	0.434	0.469	0.474
6	0.201	0.095	0.084	0.164	0.19	1	0.074	0.148	0.126	0.099	0.136	0.05	0.039	0.046	0.058
7	0.794	0.775	0.639	0.736	0.607	0.074	1	0.678	0.7	0.721	0.641	0.746	0.734	0.768	0.776
8	0.675	0.672	0.547	0.627	0.511	0.148	0.678	1	0.971	0.888	0.616	0.687	0.609	0.596	0.599
9	0.689	0.695	0.567	0.647	0.503	0.126	0.7	0.971	1	0.93	0.629	0.733	0.643	0.624	0.624
10	0.689	0.727	0.579	0.641	0.496	0.099	0.721	0.888	0.93	1	0.641	0.802	0.699	0.649	0.65
11	0.686	0.678	0.616	0.638	0.429	0.136	0.641	0.616	0.629	0.641	1	0.722	0.756	0.758	0.754
12	0.694	0.74	0.627	0.654	0.441	0.05	0.746	0.687	0.733	0.802	0.722	1	0.846	0.806	0.804
13	0.76	0.85	0.649	0.723	0.434	0.039	0.734	0.609	0.643	0.699	0.756	0.846	1	0.82	0.812
14	0.744	0.748	0.688	0.713	0.469	0.046	0.768	0.596	0.624	0.649	0.758	0.806	0.82	1	0.998
15	0.74	0.74	0.682	0.705	0.474	0.058	0.776	0.599	0.624	0.65	0.754	0.804	0.812	0.998	1

Correlations for all pairs of data series with p-values
pair	Pearson r	Spearman rho	Kendall tau
1;2	0.8925	0.8574	0.6986
p-value	(0)	(0)	(0)
1;3	0.8171	0.7789	0.6132
p-value	(0)	(0)	(0)
1;4	0.9658	0.9603	0.8393
p-value	(0)	(0)	(0)
1;5	0.7501	0.7721	0.5894
p-value	(0)	(0)	(0)
1;6	0.2005	0.2382	0.1816
p-value	(0.016)	(0.004)	(0.0044)
1;7	0.7938	0.766	0.5903
p-value	(0)	(0)	(0)
1;8	0.675	0.6169	0.4587
p-value	(0)	(0)	(0)
1;9	0.6894	0.641	0.4699
p-value	(0)	(0)	(0)
1;10	0.689	0.6433	0.4786
p-value	(0)	(0)	(0)
1;11	0.6859	0.6194	0.4597
p-value	(0)	(0)	(0)
1;12	0.6939	0.6643	0.4925
p-value	(0)	(0)	(0)
1;13	0.7596	0.702	0.5242
p-value	(0)	(0)	(0)
1;14	0.7438	0.6782	0.5099
p-value	(0)	(0)	(0)
1;15	0.7403	0.6797	0.5112
p-value	(0)	(0)	(0)
2;3	0.7587	0.7122	0.5468
p-value	(0)	(0)	(0)
2;4	0.8823	0.8473	0.6787
p-value	(0)	(0)	(0)
2;5	0.606	0.6546	0.4862
p-value	(0)	(0)	(0)
2;6	0.0948	0.1195	0.0904
p-value	(0.2585)	(0.1537)	(0.1559)
2;7	0.7754	0.7395	0.5618
p-value	(0)	(0)	(0)
2;8	0.6719	0.581	0.4319
p-value	(0)	(0)	(0)
2;9	0.6952	0.6374	0.4681
p-value	(0)	(0)	(0)
2;10	0.727	0.6988	0.5276
p-value	(0)	(0)	(0)
2;11	0.6784	0.6101	0.456
p-value	(0)	(0)	(0)
2;12	0.7398	0.7163	0.5467
p-value	(0)	(0)	(0)
2;13	0.8502	0.8148	0.6443
p-value	(0)	(0)	(0)
2;14	0.7477	0.6949	0.5264
p-value	(0)	(0)	(0)
2;15	0.7398	0.687	0.52
p-value	(0)	(0)	(0)
3;4	0.7591	0.736	0.5694
p-value	(0)	(0)	(0)
3;5	0.5939	0.6287	0.4656
p-value	(0)	(0)	(0)
3;6	0.0836	0.1516	0.1165
p-value	(0.3192)	(0.0698)	(0.0686)
3;7	0.6385	0.6312	0.4703
p-value	(0)	(0)	(0)
3;8	0.5468	0.4884	0.3602
p-value	(0)	(0)	(0)
3;9	0.5673	0.5144	0.3739
p-value	(0)	(0)	(0)
3;10	0.5795	0.5403	0.4006
p-value	(0)	(0)	(0)
3;11	0.6162	0.6046	0.46
p-value	(0)	(0)	(0)
3;12	0.6275	0.5813	0.4271
p-value	(0)	(0)	(0)
3;13	0.6491	0.5883	0.4349
p-value	(0)	(0)	(0)
3;14	0.6883	0.6324	0.4675
p-value	(0)	(0)	(0)
3;15	0.6821	0.6335	0.4679
p-value	(0)	(0)	(0)
4;5	0.702	0.7329	0.5551
p-value	(0)	(0)	(0)
4;6	0.1636	0.1935	0.1462
p-value	(0.05)	(0.0201)	(0.0218)
4;7	0.7362	0.7053	0.5359
p-value	(0)	(0)	(0)
4;8	0.6269	0.5588	0.4124
p-value	(0)	(0)	(0)
4;9	0.6473	0.5939	0.4312
p-value	(0)	(0)	(0)
4;10	0.6407	0.605	0.4406
p-value	(0)	(0)	(0)
4;11	0.6375	0.5982	0.4376
p-value	(0)	(0)	(0)
4;12	0.6541	0.6347	0.4693
p-value	(0)	(0)	(0)
4;13	0.7235	0.6813	0.5087
p-value	(0)	(0)	(0)
4;14	0.7125	0.6603	0.4978
p-value	(0)	(0)	(0)
4;15	0.705	0.6537	0.4929
p-value	(0)	(0)	(0)
5;6	0.1898	0.1684	0.1306
p-value	(0.0227)	(0.0436)	(0.0413)
5;7	0.6073	0.6194	0.4543
p-value	(0)	(0)	(0)
5;8	0.5106	0.5079	0.3758
p-value	(0)	(0)	(0)
5;9	0.5032	0.5135	0.376
p-value	(0)	(0)	(0)
5;10	0.4961	0.5295	0.3876
p-value	(0)	(0)	(0)
5;11	0.4292	0.45	0.3185
p-value	(0)	(0)	(0)
5;12	0.4412	0.5396	0.3916
p-value	(0)	(0)	(0)
5;13	0.4338	0.4997	0.3553
p-value	(0)	(0)	(0)
5;14	0.4693	0.5468	0.3945
p-value	(0)	(0)	(0)
5;15	0.4736	0.5516	0.3974
p-value	(0)	(0)	(0)
6;7	0.0743	0.0763	0.0585
p-value	(0.3763)	(0.3634)	(0.3614)
6;8	0.1485	0.0445	0.0331
p-value	(0.0757)	(0.5968)	(0.6106)
6;9	0.1259	0.0285	0.0226
p-value	(0.1326)	(0.7342)	(0.7238)
6;10	0.0986	0.0253	0.0223
p-value	(0.2395)	(0.7635)	(0.7282)
6;11	0.1364	0.111	0.0855
p-value	(0.1032)	(0.1854)	(0.1804)
6;12	0.0499	0.0424	0.0359
p-value	(0.5528)	(0.6139)	(0.5734)
6;13	0.039	0.0967	0.0704
p-value	(0.6425)	(0.249)	(0.2702)
6;14	0.0462	0.1219	0.0899
p-value	(0.5824)	(0.1454)	(0.1615)
6;15	0.0583	0.1302	0.0965
p-value	(0.4873)	(0.1198)	(0.1329)
7;8	0.6781	0.5986	0.4433
p-value	(0)	(0)	(0)
7;9	0.6999	0.6365	0.4707
p-value	(0)	(0)	(0)
7;10	0.7211	0.6768	0.5055
p-value	(0)	(0)	(0)
7;11	0.6408	0.6077	0.448
p-value	(0)	(0)	(0)
7;12	0.7458	0.7555	0.5783
p-value	(0)	(0)	(0)
7;13	0.7341	0.7401	0.5675
p-value	(0)	(0)	(0)
7;14	0.7677	0.7248	0.5602
p-value	(0)	(0)	(0)
7;15	0.776	0.7355	0.571
p-value	(0)	(0)	(0)
8;9	0.9709	0.9607	0.8744
p-value	(0)	(0)	(0)
8;10	0.8876	0.8426	0.6907
p-value	(0)	(0)	(0)
8;11	0.6163	0.5685	0.4267
p-value	(0)	(0)	(0)
8;12	0.6873	0.6679	0.5071
p-value	(0)	(0)	(0)
8;13	0.6091	0.547	0.407
p-value	(0)	(0)	(0)
8;14	0.5964	0.5491	0.4067
p-value	(0)	(0)	(0)
8;15	0.5986	0.5444	0.4019
p-value	(0)	(0)	(0)
9;10	0.9298	0.9009	0.7546
p-value	(0)	(0)	(0)
9;11	0.6288	0.5907	0.4393
p-value	(0)	(0)	(0)
9;12	0.733	0.709	0.5334
p-value	(0)	(0)	(0)
9;13	0.6429	0.588	0.4332
p-value	(0)	(0)	(0)
9;14	0.6236	0.5752	0.4204
p-value	(0)	(0)	(0)
9;15	0.6243	0.5686	0.4145
p-value	(0)	(0)	(0)
10;11	0.6406	0.6076	0.4601
p-value	(0)	(0)	(0)
10;12	0.8019	0.7679	0.5881
p-value	(0)	(0)	(0)
10;13	0.6989	0.6662	0.4969
p-value	(0)	(0)	(0)
10;14	0.6487	0.5911	0.4377
p-value	(0)	(0)	(0)
10;15	0.6498	0.5916	0.4365
p-value	(0)	(0)	(0)
11;12	0.7216	0.7084	0.5493
p-value	(0)	(0)	(0)
11;13	0.7563	0.7017	0.5394
p-value	(0)	(0)	(0)
11;14	0.7583	0.7379	0.5655
p-value	(0)	(0)	(0)
11;15	0.7537	0.7378	0.5653
p-value	(0)	(0)	(0)
12;13	0.8463	0.8217	0.6572
p-value	(0)	(0)	(0)
12;14	0.806	0.7828	0.613
p-value	(0)	(0)	(0)
12;15	0.8044	0.7833	0.614
p-value	(0)	(0)	(0)
13;14	0.8195	0.8047	0.6352
p-value	(0)	(0)	(0)
13;15	0.8122	0.7999	0.6297
p-value	(0)	(0)	(0)
14;15	0.9977	0.9967	0.9693
p-value	(0)	(0)	(0)

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series with p-values \tabularnewline
pair & Pearson r & Spearman rho & Kendall tau \tabularnewline
1;2 & 0.8925 & 0.8574 & 0.6986 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
1;3 & 0.8171 & 0.7789 & 0.6132 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
1;4 & 0.9658 & 0.9603 & 0.8393 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
1;5 & 0.7501 & 0.7721 & 0.5894 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
1;6 & 0.2005 & 0.2382 & 0.1816 \tabularnewline
p-value & (0.016) & (0.004) & (0.0044) \tabularnewline
1;7 & 0.7938 & 0.766 & 0.5903 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
1;8 & 0.675 & 0.6169 & 0.4587 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
1;9 & 0.6894 & 0.641 & 0.4699 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
1;10 & 0.689 & 0.6433 & 0.4786 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
1;11 & 0.6859 & 0.6194 & 0.4597 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
1;12 & 0.6939 & 0.6643 & 0.4925 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
1;13 & 0.7596 & 0.702 & 0.5242 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
1;14 & 0.7438 & 0.6782 & 0.5099 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
1;15 & 0.7403 & 0.6797 & 0.5112 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
2;3 & 0.7587 & 0.7122 & 0.5468 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
2;4 & 0.8823 & 0.8473 & 0.6787 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
2;5 & 0.606 & 0.6546 & 0.4862 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
2;6 & 0.0948 & 0.1195 & 0.0904 \tabularnewline
p-value & (0.2585) & (0.1537) & (0.1559) \tabularnewline
2;7 & 0.7754 & 0.7395 & 0.5618 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
2;8 & 0.6719 & 0.581 & 0.4319 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
2;9 & 0.6952 & 0.6374 & 0.4681 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
2;10 & 0.727 & 0.6988 & 0.5276 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
2;11 & 0.6784 & 0.6101 & 0.456 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
2;12 & 0.7398 & 0.7163 & 0.5467 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
2;13 & 0.8502 & 0.8148 & 0.6443 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
2;14 & 0.7477 & 0.6949 & 0.5264 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
2;15 & 0.7398 & 0.687 & 0.52 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
3;4 & 0.7591 & 0.736 & 0.5694 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
3;5 & 0.5939 & 0.6287 & 0.4656 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
3;6 & 0.0836 & 0.1516 & 0.1165 \tabularnewline
p-value & (0.3192) & (0.0698) & (0.0686) \tabularnewline
3;7 & 0.6385 & 0.6312 & 0.4703 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
3;8 & 0.5468 & 0.4884 & 0.3602 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
3;9 & 0.5673 & 0.5144 & 0.3739 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
3;10 & 0.5795 & 0.5403 & 0.4006 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
3;11 & 0.6162 & 0.6046 & 0.46 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
3;12 & 0.6275 & 0.5813 & 0.4271 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
3;13 & 0.6491 & 0.5883 & 0.4349 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
3;14 & 0.6883 & 0.6324 & 0.4675 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
3;15 & 0.6821 & 0.6335 & 0.4679 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
4;5 & 0.702 & 0.7329 & 0.5551 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
4;6 & 0.1636 & 0.1935 & 0.1462 \tabularnewline
p-value & (0.05) & (0.0201) & (0.0218) \tabularnewline
4;7 & 0.7362 & 0.7053 & 0.5359 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
4;8 & 0.6269 & 0.5588 & 0.4124 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
4;9 & 0.6473 & 0.5939 & 0.4312 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
4;10 & 0.6407 & 0.605 & 0.4406 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
4;11 & 0.6375 & 0.5982 & 0.4376 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
4;12 & 0.6541 & 0.6347 & 0.4693 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
4;13 & 0.7235 & 0.6813 & 0.5087 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
4;14 & 0.7125 & 0.6603 & 0.4978 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
4;15 & 0.705 & 0.6537 & 0.4929 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
5;6 & 0.1898 & 0.1684 & 0.1306 \tabularnewline
p-value & (0.0227) & (0.0436) & (0.0413) \tabularnewline
5;7 & 0.6073 & 0.6194 & 0.4543 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
5;8 & 0.5106 & 0.5079 & 0.3758 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
5;9 & 0.5032 & 0.5135 & 0.376 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
5;10 & 0.4961 & 0.5295 & 0.3876 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
5;11 & 0.4292 & 0.45 & 0.3185 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
5;12 & 0.4412 & 0.5396 & 0.3916 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
5;13 & 0.4338 & 0.4997 & 0.3553 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
5;14 & 0.4693 & 0.5468 & 0.3945 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
5;15 & 0.4736 & 0.5516 & 0.3974 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
6;7 & 0.0743 & 0.0763 & 0.0585 \tabularnewline
p-value & (0.3763) & (0.3634) & (0.3614) \tabularnewline
6;8 & 0.1485 & 0.0445 & 0.0331 \tabularnewline
p-value & (0.0757) & (0.5968) & (0.6106) \tabularnewline
6;9 & 0.1259 & 0.0285 & 0.0226 \tabularnewline
p-value & (0.1326) & (0.7342) & (0.7238) \tabularnewline
6;10 & 0.0986 & 0.0253 & 0.0223 \tabularnewline
p-value & (0.2395) & (0.7635) & (0.7282) \tabularnewline
6;11 & 0.1364 & 0.111 & 0.0855 \tabularnewline
p-value & (0.1032) & (0.1854) & (0.1804) \tabularnewline
6;12 & 0.0499 & 0.0424 & 0.0359 \tabularnewline
p-value & (0.5528) & (0.6139) & (0.5734) \tabularnewline
6;13 & 0.039 & 0.0967 & 0.0704 \tabularnewline
p-value & (0.6425) & (0.249) & (0.2702) \tabularnewline
6;14 & 0.0462 & 0.1219 & 0.0899 \tabularnewline
p-value & (0.5824) & (0.1454) & (0.1615) \tabularnewline
6;15 & 0.0583 & 0.1302 & 0.0965 \tabularnewline
p-value & (0.4873) & (0.1198) & (0.1329) \tabularnewline
7;8 & 0.6781 & 0.5986 & 0.4433 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
7;9 & 0.6999 & 0.6365 & 0.4707 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
7;10 & 0.7211 & 0.6768 & 0.5055 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
7;11 & 0.6408 & 0.6077 & 0.448 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
7;12 & 0.7458 & 0.7555 & 0.5783 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
7;13 & 0.7341 & 0.7401 & 0.5675 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
7;14 & 0.7677 & 0.7248 & 0.5602 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
7;15 & 0.776 & 0.7355 & 0.571 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
8;9 & 0.9709 & 0.9607 & 0.8744 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
8;10 & 0.8876 & 0.8426 & 0.6907 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
8;11 & 0.6163 & 0.5685 & 0.4267 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
8;12 & 0.6873 & 0.6679 & 0.5071 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
8;13 & 0.6091 & 0.547 & 0.407 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
8;14 & 0.5964 & 0.5491 & 0.4067 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
8;15 & 0.5986 & 0.5444 & 0.4019 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
9;10 & 0.9298 & 0.9009 & 0.7546 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
9;11 & 0.6288 & 0.5907 & 0.4393 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
9;12 & 0.733 & 0.709 & 0.5334 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
9;13 & 0.6429 & 0.588 & 0.4332 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
9;14 & 0.6236 & 0.5752 & 0.4204 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
9;15 & 0.6243 & 0.5686 & 0.4145 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
10;11 & 0.6406 & 0.6076 & 0.4601 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
10;12 & 0.8019 & 0.7679 & 0.5881 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
10;13 & 0.6989 & 0.6662 & 0.4969 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
10;14 & 0.6487 & 0.5911 & 0.4377 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
10;15 & 0.6498 & 0.5916 & 0.4365 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
11;12 & 0.7216 & 0.7084 & 0.5493 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
11;13 & 0.7563 & 0.7017 & 0.5394 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
11;14 & 0.7583 & 0.7379 & 0.5655 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
11;15 & 0.7537 & 0.7378 & 0.5653 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
12;13 & 0.8463 & 0.8217 & 0.6572 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
12;14 & 0.806 & 0.7828 & 0.613 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
12;15 & 0.8044 & 0.7833 & 0.614 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
13;14 & 0.8195 & 0.8047 & 0.6352 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
13;15 & 0.8122 & 0.7999 & 0.6297 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
14;15 & 0.9977 & 0.9967 & 0.9693 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=160200&T=2

[TABLE]
[ROW][C]Correlations for all pairs of data series with p-values[/C][/ROW]
[ROW][C]pair[/C][C]Pearson r[/C][C]Spearman rho[/C][C]Kendall tau[/C][/ROW]
[ROW][C]1;2[/C][C]0.8925[/C][C]0.8574[/C][C]0.6986[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]1;3[/C][C]0.8171[/C][C]0.7789[/C][C]0.6132[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]1;4[/C][C]0.9658[/C][C]0.9603[/C][C]0.8393[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]1;5[/C][C]0.7501[/C][C]0.7721[/C][C]0.5894[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]1;6[/C][C]0.2005[/C][C]0.2382[/C][C]0.1816[/C][/ROW]
[ROW][C]p-value[/C][C](0.016)[/C][C](0.004)[/C][C](0.0044)[/C][/ROW]
[ROW][C]1;7[/C][C]0.7938[/C][C]0.766[/C][C]0.5903[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]1;8[/C][C]0.675[/C][C]0.6169[/C][C]0.4587[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]1;9[/C][C]0.6894[/C][C]0.641[/C][C]0.4699[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]1;10[/C][C]0.689[/C][C]0.6433[/C][C]0.4786[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]1;11[/C][C]0.6859[/C][C]0.6194[/C][C]0.4597[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]1;12[/C][C]0.6939[/C][C]0.6643[/C][C]0.4925[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]1;13[/C][C]0.7596[/C][C]0.702[/C][C]0.5242[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]1;14[/C][C]0.7438[/C][C]0.6782[/C][C]0.5099[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]1;15[/C][C]0.7403[/C][C]0.6797[/C][C]0.5112[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]2;3[/C][C]0.7587[/C][C]0.7122[/C][C]0.5468[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]2;4[/C][C]0.8823[/C][C]0.8473[/C][C]0.6787[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]2;5[/C][C]0.606[/C][C]0.6546[/C][C]0.4862[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]2;6[/C][C]0.0948[/C][C]0.1195[/C][C]0.0904[/C][/ROW]
[ROW][C]p-value[/C][C](0.2585)[/C][C](0.1537)[/C][C](0.1559)[/C][/ROW]
[ROW][C]2;7[/C][C]0.7754[/C][C]0.7395[/C][C]0.5618[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]2;8[/C][C]0.6719[/C][C]0.581[/C][C]0.4319[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]2;9[/C][C]0.6952[/C][C]0.6374[/C][C]0.4681[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]2;10[/C][C]0.727[/C][C]0.6988[/C][C]0.5276[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]2;11[/C][C]0.6784[/C][C]0.6101[/C][C]0.456[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]2;12[/C][C]0.7398[/C][C]0.7163[/C][C]0.5467[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]2;13[/C][C]0.8502[/C][C]0.8148[/C][C]0.6443[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]2;14[/C][C]0.7477[/C][C]0.6949[/C][C]0.5264[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]2;15[/C][C]0.7398[/C][C]0.687[/C][C]0.52[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]3;4[/C][C]0.7591[/C][C]0.736[/C][C]0.5694[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]3;5[/C][C]0.5939[/C][C]0.6287[/C][C]0.4656[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]3;6[/C][C]0.0836[/C][C]0.1516[/C][C]0.1165[/C][/ROW]
[ROW][C]p-value[/C][C](0.3192)[/C][C](0.0698)[/C][C](0.0686)[/C][/ROW]
[ROW][C]3;7[/C][C]0.6385[/C][C]0.6312[/C][C]0.4703[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]3;8[/C][C]0.5468[/C][C]0.4884[/C][C]0.3602[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]3;9[/C][C]0.5673[/C][C]0.5144[/C][C]0.3739[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]3;10[/C][C]0.5795[/C][C]0.5403[/C][C]0.4006[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]3;11[/C][C]0.6162[/C][C]0.6046[/C][C]0.46[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]3;12[/C][C]0.6275[/C][C]0.5813[/C][C]0.4271[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]3;13[/C][C]0.6491[/C][C]0.5883[/C][C]0.4349[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]3;14[/C][C]0.6883[/C][C]0.6324[/C][C]0.4675[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]3;15[/C][C]0.6821[/C][C]0.6335[/C][C]0.4679[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]4;5[/C][C]0.702[/C][C]0.7329[/C][C]0.5551[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]4;6[/C][C]0.1636[/C][C]0.1935[/C][C]0.1462[/C][/ROW]
[ROW][C]p-value[/C][C](0.05)[/C][C](0.0201)[/C][C](0.0218)[/C][/ROW]
[ROW][C]4;7[/C][C]0.7362[/C][C]0.7053[/C][C]0.5359[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]4;8[/C][C]0.6269[/C][C]0.5588[/C][C]0.4124[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]4;9[/C][C]0.6473[/C][C]0.5939[/C][C]0.4312[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]4;10[/C][C]0.6407[/C][C]0.605[/C][C]0.4406[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]4;11[/C][C]0.6375[/C][C]0.5982[/C][C]0.4376[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]4;12[/C][C]0.6541[/C][C]0.6347[/C][C]0.4693[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]4;13[/C][C]0.7235[/C][C]0.6813[/C][C]0.5087[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]4;14[/C][C]0.7125[/C][C]0.6603[/C][C]0.4978[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]4;15[/C][C]0.705[/C][C]0.6537[/C][C]0.4929[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]5;6[/C][C]0.1898[/C][C]0.1684[/C][C]0.1306[/C][/ROW]
[ROW][C]p-value[/C][C](0.0227)[/C][C](0.0436)[/C][C](0.0413)[/C][/ROW]
[ROW][C]5;7[/C][C]0.6073[/C][C]0.6194[/C][C]0.4543[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]5;8[/C][C]0.5106[/C][C]0.5079[/C][C]0.3758[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]5;9[/C][C]0.5032[/C][C]0.5135[/C][C]0.376[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]5;10[/C][C]0.4961[/C][C]0.5295[/C][C]0.3876[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]5;11[/C][C]0.4292[/C][C]0.45[/C][C]0.3185[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]5;12[/C][C]0.4412[/C][C]0.5396[/C][C]0.3916[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]5;13[/C][C]0.4338[/C][C]0.4997[/C][C]0.3553[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]5;14[/C][C]0.4693[/C][C]0.5468[/C][C]0.3945[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]5;15[/C][C]0.4736[/C][C]0.5516[/C][C]0.3974[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]6;7[/C][C]0.0743[/C][C]0.0763[/C][C]0.0585[/C][/ROW]
[ROW][C]p-value[/C][C](0.3763)[/C][C](0.3634)[/C][C](0.3614)[/C][/ROW]
[ROW][C]6;8[/C][C]0.1485[/C][C]0.0445[/C][C]0.0331[/C][/ROW]
[ROW][C]p-value[/C][C](0.0757)[/C][C](0.5968)[/C][C](0.6106)[/C][/ROW]
[ROW][C]6;9[/C][C]0.1259[/C][C]0.0285[/C][C]0.0226[/C][/ROW]
[ROW][C]p-value[/C][C](0.1326)[/C][C](0.7342)[/C][C](0.7238)[/C][/ROW]
[ROW][C]6;10[/C][C]0.0986[/C][C]0.0253[/C][C]0.0223[/C][/ROW]
[ROW][C]p-value[/C][C](0.2395)[/C][C](0.7635)[/C][C](0.7282)[/C][/ROW]
[ROW][C]6;11[/C][C]0.1364[/C][C]0.111[/C][C]0.0855[/C][/ROW]
[ROW][C]p-value[/C][C](0.1032)[/C][C](0.1854)[/C][C](0.1804)[/C][/ROW]
[ROW][C]6;12[/C][C]0.0499[/C][C]0.0424[/C][C]0.0359[/C][/ROW]
[ROW][C]p-value[/C][C](0.5528)[/C][C](0.6139)[/C][C](0.5734)[/C][/ROW]
[ROW][C]6;13[/C][C]0.039[/C][C]0.0967[/C][C]0.0704[/C][/ROW]
[ROW][C]p-value[/C][C](0.6425)[/C][C](0.249)[/C][C](0.2702)[/C][/ROW]
[ROW][C]6;14[/C][C]0.0462[/C][C]0.1219[/C][C]0.0899[/C][/ROW]
[ROW][C]p-value[/C][C](0.5824)[/C][C](0.1454)[/C][C](0.1615)[/C][/ROW]
[ROW][C]6;15[/C][C]0.0583[/C][C]0.1302[/C][C]0.0965[/C][/ROW]
[ROW][C]p-value[/C][C](0.4873)[/C][C](0.1198)[/C][C](0.1329)[/C][/ROW]
[ROW][C]7;8[/C][C]0.6781[/C][C]0.5986[/C][C]0.4433[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]7;9[/C][C]0.6999[/C][C]0.6365[/C][C]0.4707[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]7;10[/C][C]0.7211[/C][C]0.6768[/C][C]0.5055[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]7;11[/C][C]0.6408[/C][C]0.6077[/C][C]0.448[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]7;12[/C][C]0.7458[/C][C]0.7555[/C][C]0.5783[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]7;13[/C][C]0.7341[/C][C]0.7401[/C][C]0.5675[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]7;14[/C][C]0.7677[/C][C]0.7248[/C][C]0.5602[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]7;15[/C][C]0.776[/C][C]0.7355[/C][C]0.571[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]8;9[/C][C]0.9709[/C][C]0.9607[/C][C]0.8744[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]8;10[/C][C]0.8876[/C][C]0.8426[/C][C]0.6907[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]8;11[/C][C]0.6163[/C][C]0.5685[/C][C]0.4267[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]8;12[/C][C]0.6873[/C][C]0.6679[/C][C]0.5071[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]8;13[/C][C]0.6091[/C][C]0.547[/C][C]0.407[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]8;14[/C][C]0.5964[/C][C]0.5491[/C][C]0.4067[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]8;15[/C][C]0.5986[/C][C]0.5444[/C][C]0.4019[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]9;10[/C][C]0.9298[/C][C]0.9009[/C][C]0.7546[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]9;11[/C][C]0.6288[/C][C]0.5907[/C][C]0.4393[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]9;12[/C][C]0.733[/C][C]0.709[/C][C]0.5334[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]9;13[/C][C]0.6429[/C][C]0.588[/C][C]0.4332[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]9;14[/C][C]0.6236[/C][C]0.5752[/C][C]0.4204[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]9;15[/C][C]0.6243[/C][C]0.5686[/C][C]0.4145[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]10;11[/C][C]0.6406[/C][C]0.6076[/C][C]0.4601[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]10;12[/C][C]0.8019[/C][C]0.7679[/C][C]0.5881[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]10;13[/C][C]0.6989[/C][C]0.6662[/C][C]0.4969[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]10;14[/C][C]0.6487[/C][C]0.5911[/C][C]0.4377[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]10;15[/C][C]0.6498[/C][C]0.5916[/C][C]0.4365[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]11;12[/C][C]0.7216[/C][C]0.7084[/C][C]0.5493[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]11;13[/C][C]0.7563[/C][C]0.7017[/C][C]0.5394[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]11;14[/C][C]0.7583[/C][C]0.7379[/C][C]0.5655[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]11;15[/C][C]0.7537[/C][C]0.7378[/C][C]0.5653[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]12;13[/C][C]0.8463[/C][C]0.8217[/C][C]0.6572[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]12;14[/C][C]0.806[/C][C]0.7828[/C][C]0.613[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]12;15[/C][C]0.8044[/C][C]0.7833[/C][C]0.614[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]13;14[/C][C]0.8195[/C][C]0.8047[/C][C]0.6352[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]13;15[/C][C]0.8122[/C][C]0.7999[/C][C]0.6297[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]14;15[/C][C]0.9977[/C][C]0.9967[/C][C]0.9693[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=160200&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=160200&T=2

As an alternative you can also use a QR Code:

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

Correlations for all pairs of data series with p-values
pair	Pearson r	Spearman rho	Kendall tau
1;2	0.8925	0.8574	0.6986
p-value	(0)	(0)	(0)
1;3	0.8171	0.7789	0.6132
p-value	(0)	(0)	(0)
1;4	0.9658	0.9603	0.8393
p-value	(0)	(0)	(0)
1;5	0.7501	0.7721	0.5894
p-value	(0)	(0)	(0)
1;6	0.2005	0.2382	0.1816
p-value	(0.016)	(0.004)	(0.0044)
1;7	0.7938	0.766	0.5903
p-value	(0)	(0)	(0)
1;8	0.675	0.6169	0.4587
p-value	(0)	(0)	(0)
1;9	0.6894	0.641	0.4699
p-value	(0)	(0)	(0)
1;10	0.689	0.6433	0.4786
p-value	(0)	(0)	(0)
1;11	0.6859	0.6194	0.4597
p-value	(0)	(0)	(0)
1;12	0.6939	0.6643	0.4925
p-value	(0)	(0)	(0)
1;13	0.7596	0.702	0.5242
p-value	(0)	(0)	(0)
1;14	0.7438	0.6782	0.5099
p-value	(0)	(0)	(0)
1;15	0.7403	0.6797	0.5112
p-value	(0)	(0)	(0)
2;3	0.7587	0.7122	0.5468
p-value	(0)	(0)	(0)
2;4	0.8823	0.8473	0.6787
p-value	(0)	(0)	(0)
2;5	0.606	0.6546	0.4862
p-value	(0)	(0)	(0)
2;6	0.0948	0.1195	0.0904
p-value	(0.2585)	(0.1537)	(0.1559)
2;7	0.7754	0.7395	0.5618
p-value	(0)	(0)	(0)
2;8	0.6719	0.581	0.4319
p-value	(0)	(0)	(0)
2;9	0.6952	0.6374	0.4681
p-value	(0)	(0)	(0)
2;10	0.727	0.6988	0.5276
p-value	(0)	(0)	(0)
2;11	0.6784	0.6101	0.456
p-value	(0)	(0)	(0)
2;12	0.7398	0.7163	0.5467
p-value	(0)	(0)	(0)
2;13	0.8502	0.8148	0.6443
p-value	(0)	(0)	(0)
2;14	0.7477	0.6949	0.5264
p-value	(0)	(0)	(0)
2;15	0.7398	0.687	0.52
p-value	(0)	(0)	(0)
3;4	0.7591	0.736	0.5694
p-value	(0)	(0)	(0)
3;5	0.5939	0.6287	0.4656
p-value	(0)	(0)	(0)
3;6	0.0836	0.1516	0.1165
p-value	(0.3192)	(0.0698)	(0.0686)
3;7	0.6385	0.6312	0.4703
p-value	(0)	(0)	(0)
3;8	0.5468	0.4884	0.3602
p-value	(0)	(0)	(0)
3;9	0.5673	0.5144	0.3739
p-value	(0)	(0)	(0)
3;10	0.5795	0.5403	0.4006
p-value	(0)	(0)	(0)
3;11	0.6162	0.6046	0.46
p-value	(0)	(0)	(0)
3;12	0.6275	0.5813	0.4271
p-value	(0)	(0)	(0)
3;13	0.6491	0.5883	0.4349
p-value	(0)	(0)	(0)
3;14	0.6883	0.6324	0.4675
p-value	(0)	(0)	(0)
3;15	0.6821	0.6335	0.4679
p-value	(0)	(0)	(0)
4;5	0.702	0.7329	0.5551
p-value	(0)	(0)	(0)
4;6	0.1636	0.1935	0.1462
p-value	(0.05)	(0.0201)	(0.0218)
4;7	0.7362	0.7053	0.5359
p-value	(0)	(0)	(0)
4;8	0.6269	0.5588	0.4124
p-value	(0)	(0)	(0)
4;9	0.6473	0.5939	0.4312
p-value	(0)	(0)	(0)
4;10	0.6407	0.605	0.4406
p-value	(0)	(0)	(0)
4;11	0.6375	0.5982	0.4376
p-value	(0)	(0)	(0)
4;12	0.6541	0.6347	0.4693
p-value	(0)	(0)	(0)
4;13	0.7235	0.6813	0.5087
p-value	(0)	(0)	(0)
4;14	0.7125	0.6603	0.4978
p-value	(0)	(0)	(0)
4;15	0.705	0.6537	0.4929
p-value	(0)	(0)	(0)
5;6	0.1898	0.1684	0.1306
p-value	(0.0227)	(0.0436)	(0.0413)
5;7	0.6073	0.6194	0.4543
p-value	(0)	(0)	(0)
5;8	0.5106	0.5079	0.3758
p-value	(0)	(0)	(0)
5;9	0.5032	0.5135	0.376
p-value	(0)	(0)	(0)
5;10	0.4961	0.5295	0.3876
p-value	(0)	(0)	(0)
5;11	0.4292	0.45	0.3185
p-value	(0)	(0)	(0)
5;12	0.4412	0.5396	0.3916
p-value	(0)	(0)	(0)
5;13	0.4338	0.4997	0.3553
p-value	(0)	(0)	(0)
5;14	0.4693	0.5468	0.3945
p-value	(0)	(0)	(0)
5;15	0.4736	0.5516	0.3974
p-value	(0)	(0)	(0)
6;7	0.0743	0.0763	0.0585
p-value	(0.3763)	(0.3634)	(0.3614)
6;8	0.1485	0.0445	0.0331
p-value	(0.0757)	(0.5968)	(0.6106)
6;9	0.1259	0.0285	0.0226
p-value	(0.1326)	(0.7342)	(0.7238)
6;10	0.0986	0.0253	0.0223
p-value	(0.2395)	(0.7635)	(0.7282)
6;11	0.1364	0.111	0.0855
p-value	(0.1032)	(0.1854)	(0.1804)
6;12	0.0499	0.0424	0.0359
p-value	(0.5528)	(0.6139)	(0.5734)
6;13	0.039	0.0967	0.0704
p-value	(0.6425)	(0.249)	(0.2702)
6;14	0.0462	0.1219	0.0899
p-value	(0.5824)	(0.1454)	(0.1615)
6;15	0.0583	0.1302	0.0965
p-value	(0.4873)	(0.1198)	(0.1329)
7;8	0.6781	0.5986	0.4433
p-value	(0)	(0)	(0)
7;9	0.6999	0.6365	0.4707
p-value	(0)	(0)	(0)
7;10	0.7211	0.6768	0.5055
p-value	(0)	(0)	(0)
7;11	0.6408	0.6077	0.448
p-value	(0)	(0)	(0)
7;12	0.7458	0.7555	0.5783
p-value	(0)	(0)	(0)
7;13	0.7341	0.7401	0.5675
p-value	(0)	(0)	(0)
7;14	0.7677	0.7248	0.5602
p-value	(0)	(0)	(0)
7;15	0.776	0.7355	0.571
p-value	(0)	(0)	(0)
8;9	0.9709	0.9607	0.8744
p-value	(0)	(0)	(0)
8;10	0.8876	0.8426	0.6907
p-value	(0)	(0)	(0)
8;11	0.6163	0.5685	0.4267
p-value	(0)	(0)	(0)
8;12	0.6873	0.6679	0.5071
p-value	(0)	(0)	(0)
8;13	0.6091	0.547	0.407
p-value	(0)	(0)	(0)
8;14	0.5964	0.5491	0.4067
p-value	(0)	(0)	(0)
8;15	0.5986	0.5444	0.4019
p-value	(0)	(0)	(0)
9;10	0.9298	0.9009	0.7546
p-value	(0)	(0)	(0)
9;11	0.6288	0.5907	0.4393
p-value	(0)	(0)	(0)
9;12	0.733	0.709	0.5334
p-value	(0)	(0)	(0)
9;13	0.6429	0.588	0.4332
p-value	(0)	(0)	(0)
9;14	0.6236	0.5752	0.4204
p-value	(0)	(0)	(0)
9;15	0.6243	0.5686	0.4145
p-value	(0)	(0)	(0)
10;11	0.6406	0.6076	0.4601
p-value	(0)	(0)	(0)
10;12	0.8019	0.7679	0.5881
p-value	(0)	(0)	(0)
10;13	0.6989	0.6662	0.4969
p-value	(0)	(0)	(0)
10;14	0.6487	0.5911	0.4377
p-value	(0)	(0)	(0)
10;15	0.6498	0.5916	0.4365
p-value	(0)	(0)	(0)
11;12	0.7216	0.7084	0.5493
p-value	(0)	(0)	(0)
11;13	0.7563	0.7017	0.5394
p-value	(0)	(0)	(0)
11;14	0.7583	0.7379	0.5655
p-value	(0)	(0)	(0)
11;15	0.7537	0.7378	0.5653
p-value	(0)	(0)	(0)
12;13	0.8463	0.8217	0.6572
p-value	(0)	(0)	(0)
12;14	0.806	0.7828	0.613
p-value	(0)	(0)	(0)
12;15	0.8044	0.7833	0.614
p-value	(0)	(0)	(0)
13;14	0.8195	0.8047	0.6352
p-value	(0)	(0)	(0)
13;15	0.8122	0.7999	0.6297
p-value	(0)	(0)	(0)
14;15	0.9977	0.9967	0.9693
p-value	(0)	(0)	(0)

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = pearson ;

Parameters (R input):

par1 = pearson ;

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

panel.tau <- function(x, y, digits=2, prefix='', cex.cor)
{
usr <- par('usr'); on.exit(par(usr))
par(usr = c(0, 1, 0, 1))
rr <- cor.test(x, y, method=par1)
r <- round(rr$p.value,2)
txt <- format(c(r, 0.123456789), digits=digits)[1]
txt <- paste(prefix, txt, sep='')
if(missing(cex.cor)) cex <- 0.5/strwidth(txt)
text(0.5, 0.5, txt, cex = cex)
}
panel.hist <- function(x, ...)
{
usr <- par('usr'); on.exit(par(usr))
par(usr = c(usr[1:2], 0, 1.5) )
h <- hist(x, plot = FALSE)
breaks <- h$breaks; nB <- length(breaks)
y <- h$counts; y <- y/max(y)
rect(breaks[-nB], 0, breaks[-1], y, col='grey', ...)
}
bitmap(file='test1.png')
pairs(t(y),diag.panel=panel.hist, upper.panel=panel.smooth, lower.panel=panel.tau, main=main)
dev.off()
load(file='createtable')
n <- length(y[,1])
n
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,paste('Correlations for all pairs of data series (method=',par1,')',sep=''),n+1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,' ',header=TRUE)
for (i in 1:n) {
a<-table.element(a,dimnames(t(x))[[2]][i],header=TRUE)
}
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,dimnames(t(x))[[2]][i],header=TRUE)
for (j in 1:n) {
r <- cor.test(y[i,],y[j,],method=par1)
a<-table.element(a,round(r$estimate,3))
}
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Correlations for all pairs of data series with p-values',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'pair',1,TRUE)
a<-table.element(a,'Pearson r',1,TRUE)
a<-table.element(a,'Spearman rho',1,TRUE)
a<-table.element(a,'Kendall tau',1,TRUE)
a<-table.row.end(a)
cor.test(y[1,],y[2,],method=par1)
for (i in 1:(n-1))
{
for (j in (i+1):n)
{
a<-table.row.start(a)
dum <- paste(dimnames(t(x))[[2]][i],';',dimnames(t(x))[[2]][j],sep='')
a<-table.element(a,dum,header=TRUE)
rp <- cor.test(y[i,],y[j,],method='pearson')
a<-table.element(a,round(rp$estimate,4))
rs <- cor.test(y[i,],y[j,],method='spearman')
a<-table.element(a,round(rs$estimate,4))
rk <- cor.test(y[i,],y[j,],method='kendall')
a<-table.element(a,round(rk$estimate,4))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'p-value',header=T)
a<-table.element(a,paste('(',round(rp$p.value,4),')',sep=''))
a<-table.element(a,paste('(',round(rs$p.value,4),')',sep=''))
a<-table.element(a,paste('(',round(rk$p.value,4),')',sep=''))
a<-table.row.end(a)
}
}
a<-table.end(a)
table.save(a,file='mytable1.tab')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code