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rwasp_pairs.wasp

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Kendall tau Correlation Matrix

Date of computation

Wed, 16 Dec 2015 23:17:24 +0000

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2015/Dec/16/t1450307883wygmx1ongulc9t1.htm/, Retrieved Thu, 16 May 2024 12:58:22 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=286755, Retrieved Thu, 16 May 2024 12:58:22 +0000

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Dataseries X:

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Histogram

Boxplots

41 13 14 14 12 38 53 12 32 9
39 16 18 18 11 32 83 11 51 9
30 19 11 11 15 35 66 14 42 9
31 15 12 12 6 33 67 12 41 9
34 14 16 16 13 37 76 21 46 9
35 13 18 18 10 29 78 12 47 9
39 19 14 14 12 31 53 22 37 9
34 15 14 14 14 36 80 11 49 9
36 14 15 15 12 35 74 10 45 9
37 15 15 15 9 38 76 13 47 9
38 16 17 17 10 31 79 10 49 9
36 16 19 19 12 34 54 8 33 9
38 16 10 10 12 35 67 15 42 9
39 16 16 16 11 38 54 14 33 9
33 17 18 18 15 37 87 10 53 9
32 15 14 14 12 33 58 14 36 9
36 15 14 14 10 32 75 14 45 9
38 20 17 17 12 38 88 11 54 9
39 18 14 14 11 38 64 10 41 9
32 16 16 16 12 32 57 13 36 9
32 16 18 18 11 33 66 9.5 41 9
31 16 11 11 12 31 68 14 44 9
39 19 14 14 13 38 54 12 33 9
37 16 12 12 11 39 56 14 37 9
39 17 17 17 12 32 86 11 52 9
41 17 9 9 13 32 80 9 47 9
36 16 16 16 10 35 76 11 43 9
33 15 14 14 14 37 69 15 44 9
33 16 15 15 12 33 78 14 45 9
34 14 11 11 10 33 67 13 44 9
31 15 16 16 12 31 80 9 49 9
27 12 13 13 8 32 54 15 33 9
37 14 17 17 10 31 71 10 43 9
34 16 15 15 12 37 84 11 54 9
34 14 14 14 12 30 74 13 42 9
32 10 16 16 7 33 71 8 44 9
29 10 9 9 9 31 63 20 37 9
36 14 15 15 12 33 71 12 43 9
29 16 17 17 10 31 76 10 46 9
35 16 13 13 10 33 69 10 42 9
37 16 15 15 10 32 74 9 45 9
34 14 16 16 12 33 75 14 44 9
38 20 16 16 15 32 54 8 33 9
35 14 12 12 10 33 52 14 31 9
38 14 15 15 10 28 69 11 42 9
37 11 11 11 12 35 68 13 40 9
38 14 15 15 13 39 65 9 43 9
33 15 15 15 11 34 75 11 46 9
36 16 17 17 11 38 74 15 42 9
38 14 13 13 12 32 75 11 45 9
32 16 16 16 14 38 72 10 44 9
32 14 14 14 10 30 67 14 40 9
32 12 11 11 12 33 63 18 37 9
34 16 12 12 13 38 62 14 46 9
32 9 12 12 5 32 63 11 36 9
37 14 15 15 6 35 76 14.5 47 9
39 16 16 16 12 34 74 13 45 9
29 16 15 15 12 34 67 9 42 9
37 15 12 12 11 36 73 10 43 9
35 16 12 12 10 34 70 15 43 9
30 12 8 8 7 28 53 20 32 9
38 16 13 13 12 34 77 12 45 9
34 16 11 11 14 35 80 12 48 9
31 14 14 14 11 35 52 14 31 9
34 16 15 15 12 31 54 13 33 9
35 17 10 10 13 37 80 11 49 10
36 18 11 11 14 35 66 17 42 10
30 18 12 12 11 27 73 12 41 10
39 12 15 15 12 40 63 13 38 10
35 16 15 15 12 37 69 14 42 10
38 10 14 14 8 36 67 13 44 10
31 14 16 16 11 38 54 15 33 10
34 18 15 15 14 39 81 13 48 10
38 18 15 15 14 41 69 10 40 10
34 16 13 13 12 27 84 11 50 10
39 17 12 12 9 30 80 19 49 10
37 16 17 17 13 37 70 13 43 10
34 16 13 13 11 31 69 17 44 10
28 13 15 15 12 31 77 13 47 10
37 16 13 13 12 27 54 9 33 10
33 16 15 15 12 36 79 11 46 10
35 16 15 15 12 37 71 9 45 10
37 15 16 16 12 33 73 12 43 10
32 15 15 15 11 34 72 12 44 10
33 16 14 14 10 31 77 13 47 10
38 14 15 15 9 39 75 13 45 10
33 16 14 14 12 34 69 12 42 10
29 16 13 13 12 32 54 15 33 10
33 15 7 7 12 33 70 22 43 10
31 12 17 17 9 36 73 13 46 10
36 17 13 13 15 32 54 15 33 10
35 16 15 15 12 41 77 13 46 10
32 15 14 14 12 28 82 15 48 10
29 13 13 13 12 30 80 12.5 47 10
39 16 16 16 10 36 80 11 47 10
37 16 12 12 13 35 69 16 43 10
35 16 14 14 9 31 78 11 46 10
37 16 17 17 12 34 81 11 48 10
32 14 15 15 10 36 76 10 46 10
38 16 17 17 14 36 76 10 45 10
37 16 12 12 11 35 73 16 45 10
36 20 16 16 15 37 85 12 52 10
32 15 11 11 11 28 66 11 42 10
33 16 15 15 11 39 79 16 47 10
40 13 9 9 12 32 68 19 41 10
38 17 16 16 12 35 76 11 47 10
41 16 15 15 12 39 71 16 43 10
36 16 10 10 11 35 54 15 33 10
43 12 10 10 7 42 46 24 30 10
30 16 15 15 12 34 85 14 52 10
31 16 11 11 14 33 74 15 44 10
32 17 13 13 11 41 88 11 55 10
32 13 14 14 11 33 38 15 11 10
37 12 18 18 10 34 76 12 47 10
37 18 16 16 13 32 86 10 53 10
33 14 14 14 13 40 54 14 33 10
34 14 14 14 8 40 67 13 44 10
33 13 14 14 11 35 69 9 42 10
38 16 14 14 12 36 90 15 55 10
33 13 12 12 11 37 54 15 33 10
31 16 14 14 13 27 76 14 46 10
38 13 15 15 12 39 89 11 54 10
37 16 15 15 14 38 76 8 47 10
36 15 15 15 13 31 73 11 45 10
31 16 13 13 15 33 79 11 47 10
39 15 17 17 10 32 90 8 55 10
44 17 17 17 11 39 74 10 44 10
33 15 19 19 9 36 81 11 53 10
35 12 15 15 11 33 72 13 44 10
32 16 13 13 10 33 71 11 42 10
28 10 9 9 11 32 66 20 40 10
40 16 15 15 8 37 77 10 46 10
27 12 15 15 11 30 65 15 40 10
37 14 15 15 12 38 74 12 46 10
32 15 16 16 12 29 85 14 53 10
28 13 11 11 9 22 54 23 33 10
34 15 14 14 11 35 63 14 42 10
30 11 11 11 10 35 54 16 35 10
35 12 15 15 8 34 64 11 40 10
31 11 13 13 9 35 69 12 41 10
32 16 15 15 8 34 54 10 33 10
30 15 16 16 9 37 84 14 51 10
30 17 14 14 15 35 86 12 53 10
31 16 15 15 11 23 77 12 46 10
40 10 16 16 8 31 89 11 55 10
32 18 16 16 13 27 76 12 47 10
36 13 11 11 12 36 60 13 38 10
32 16 12 12 12 31 75 11 46 10
35 13 9 9 9 32 73 19 46 10
38 10 16 16 7 39 85 12 53 10
42 15 13 13 13 37 79 17 47 10
34 16 16 16 9 38 71 9 41 10
35 16 12 12 6 39 72 12 44 10
38 14 9 9 8 34 69 19 43 9
33 10 13 13 8 31 78 18 51 10
36 17 13 13 15 32 54 15 33 10
32 13 14 14 6 37 69 14 43 10
33 15 19 19 9 36 81 11 53 10
34 16 13 13 11 32 84 9 51 10
32 12 12 12 8 38 84 18 50 10
34 13 13 13 8 36 69 16 46 10
27 13 10 10 10 26 66 24 43 11
31 12 14 14 8 26 81 14 47 11
38 17 16 16 14 33 82 20 50 11
34 15 10 10 10 39 72 18 43 11
24 10 11 11 8 30 54 23 33 11
30 14 14 14 11 33 78 12 48 11
26 11 12 12 12 25 74 14 44 11
34 13 9 9 12 38 82 16 50 11
27 16 9 9 12 37 73 18 41 11
37 12 11 11 5 31 55 20 34 11
36 16 16 16 12 37 72 12 44 11
41 12 9 9 10 35 78 12 47 11
29 9 13 13 7 25 59 17 35 11
36 12 16 16 12 28 72 13 44 11
32 15 13 13 11 35 78 9 44 11
37 12 9 9 8 33 68 16 43 11
30 12 12 12 9 30 69 18 41 11
31 14 16 16 10 31 67 10 41 11
38 12 11 11 9 37 74 14 42 11
36 16 14 14 12 36 54 11 33 11
35 11 13 13 6 30 67 9 41 11
31 19 15 15 15 36 70 11 44 11
38 15 14 14 12 32 80 10 48 11
22 8 16 16 12 28 89 11 55 11
32 16 13 13 12 36 76 19 44 11
36 17 14 14 11 34 74 14 43 11
39 12 15 15 7 31 87 12 52 11
28 11 13 13 7 28 54 14 30 11
32 11 11 11 5 36 61 21 39 11
32 14 11 11 12 36 38 13 11 11
38 16 14 14 12 40 75 10 44 11
32 12 15 15 3 33 69 15 42 11
35 16 11 11 11 37 62 16 41 11
32 13 15 15 10 32 72 14 44 11
37 15 12 12 12 38 70 12 44 11
34 16 14 14 9 31 79 19 48 11
33 16 14 14 12 37 87 15 53 11
33 14 8 8 9 33 62 19 37 11
26 16 13 13 12 32 77 13 44 11
30 16 9 9 12 30 69 17 44 11
24 14 15 15 10 30 69 12 40 11
34 11 17 17 9 31 75 11 42 11
34 12 13 13 12 32 54 14 35 11
33 15 15 15 8 34 72 11 43 11
34 15 15 15 11 36 74 13 45 11
35 16 14 14 11 37 85 12 55 11
35 16 16 16 12 36 52 15 31 11
36 11 13 13 10 33 70 14 44 11
34 15 16 16 10 33 84 12 50 11
34 12 9 9 12 33 64 17 40 11
41 12 16 16 12 44 84 11 53 11
32 15 11 11 11 39 87 18 54 11
30 15 10 10 8 32 79 13 49 11
35 16 11 11 12 35 67 17 40 11
28 14 15 15 10 25 65 13 41 11
33 17 17 17 11 35 85 11 52 11
39 14 14 14 10 34 83 12 52 11
36 13 8 8 8 35 61 22 36 11
36 15 15 15 12 39 82 14 52 11
35 13 11 11 12 33 76 12 46 11
38 14 16 16 10 36 58 12 31 11
33 15 10 10 12 32 72 17 44 11
31 12 15 15 9 32 72 9 44 11
34 13 9 9 9 36 38 21 11 11
32 8 16 16 6 36 78 10 46 11
31 14 19 19 10 32 54 11 33 11
33 14 12 12 9 34 63 12 34 11
34 11 8 8 9 33 66 23 42 11
34 12 11 11 9 35 70 13 43 11
34 13 14 14 6 30 71 12 43 11
33 10 9 9 10 38 67 16 44 11
32 16 15 15 6 34 58 9 36 11
41 18 13 13 14 33 72 17 46 11
34 13 16 16 10 32 72 9 44 11
36 11 11 11 10 31 70 14 43 11
37 4 12 12 6 30 76 17 50 11
36 13 13 13 12 27 50 13 33 11
29 16 10 10 12 31 72 11 43 11
37 10 11 11 7 30 72 12 44 11
27 12 12 12 8 32 88 10 53 11
35 12 8 8 11 35 53 19 34 11
28 10 12 12 3 28 58 16 35 11
35 13 12 12 6 33 66 16 40 11
37 15 15 15 10 31 82 14 53 11
29 12 11 11 8 35 69 20 42 11
32 14 13 13 9 35 68 15 43 11
36 10 14 14 9 32 44 23 29 11
19 12 10 10 8 21 56 20 36 11
21 12 12 12 9 20 53 16 30 11
31 11 15 15 7 34 70 14 42 11
33 10 13 13 7 32 78 17 47 11
36 12 13 13 6 34 71 11 44 11
33 16 13 13 9 32 72 13 45 11
37 12 12 12 10 33 68 17 44 11
34 14 12 12 11 33 67 15 43 11
35 16 9 9 12 37 75 21 43 11
31 14 9 9 8 32 62 18 40 11
37 13 15 15 11 34 67 15 41 11
35 4 10 10 3 30 83 8 52 11
27 15 14 14 11 30 64 12 38 11
34 11 15 15 12 38 68 12 41 11
40 11 7 7 7 36 62 22 39 11
29 14 14 14 9 32 72 12 43 11

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	3 seconds
R Server	'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 & 3 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=286755&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]3 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=286755&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=286755&T=0

As an alternative you can also use a QR Code:

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

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	3 seconds
R Server	'Gwilym Jenkins' @ jenkins.wessa.net

Correlations for all pairs of data series (method=pearson)
	Connected	Learning	Happiness	Happiness	Software	Separate	Sport1	Depression	Sport2	Month
Connected	1	0.2	0.133	0.133	0.134	0.455	0.124	-0.136	0.144	-0.198
Learning	0.2	1	0.249	0.249	0.623	0.223	0.143	-0.231	0.125	-0.324
Happiness	0.133	0.249	1	1	0.164	0.11	0.287	-0.583	0.263	-0.247
Happiness	0.133	0.249	1	1	0.164	0.11	0.287	-0.583	0.263	-0.247
Software	0.134	0.623	0.164	0.164	1	0.19	0.114	-0.164	0.098	-0.274
Separate	0.455	0.223	0.11	0.11	0.19	1	0.1	-0.099	0.107	-0.114
Sport1	0.124	0.143	0.287	0.287	0.114	0.1	1	-0.329	0.953	0
Depression	-0.136	-0.231	-0.583	-0.583	-0.164	-0.099	-0.329	1	-0.283	0.234
Sport2	0.144	0.125	0.263	0.263	0.098	0.107	0.953	-0.283	1	-0.021
Month	-0.198	-0.324	-0.247	-0.247	-0.274	-0.114	0	0.234	-0.021	1

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=pearson) \tabularnewline
  & Connected & Learning & Happiness & Happiness & Software & Separate & Sport1 & Depression & Sport2 & Month \tabularnewline
Connected & 1 & 0.2 & 0.133 & 0.133 & 0.134 & 0.455 & 0.124 & -0.136 & 0.144 & -0.198 \tabularnewline
Learning & 0.2 & 1 & 0.249 & 0.249 & 0.623 & 0.223 & 0.143 & -0.231 & 0.125 & -0.324 \tabularnewline
Happiness & 0.133 & 0.249 & 1 & 1 & 0.164 & 0.11 & 0.287 & -0.583 & 0.263 & -0.247 \tabularnewline
Happiness & 0.133 & 0.249 & 1 & 1 & 0.164 & 0.11 & 0.287 & -0.583 & 0.263 & -0.247 \tabularnewline
Software & 0.134 & 0.623 & 0.164 & 0.164 & 1 & 0.19 & 0.114 & -0.164 & 0.098 & -0.274 \tabularnewline
Separate & 0.455 & 0.223 & 0.11 & 0.11 & 0.19 & 1 & 0.1 & -0.099 & 0.107 & -0.114 \tabularnewline
Sport1 & 0.124 & 0.143 & 0.287 & 0.287 & 0.114 & 0.1 & 1 & -0.329 & 0.953 & 0 \tabularnewline
Depression & -0.136 & -0.231 & -0.583 & -0.583 & -0.164 & -0.099 & -0.329 & 1 & -0.283 & 0.234 \tabularnewline
Sport2 & 0.144 & 0.125 & 0.263 & 0.263 & 0.098 & 0.107 & 0.953 & -0.283 & 1 & -0.021 \tabularnewline
Month & -0.198 & -0.324 & -0.247 & -0.247 & -0.274 & -0.114 & 0 & 0.234 & -0.021 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=286755&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=pearson)[/C][/ROW]
[ROW][C] [/C][C]Connected[/C][C]Learning[/C][C]Happiness[/C][C]Happiness[/C][C]Software[/C][C]Separate[/C][C]Sport1[/C][C]Depression[/C][C]Sport2[/C][C]Month[/C][/ROW]
[ROW][C]Connected[/C][C]1[/C][C]0.2[/C][C]0.133[/C][C]0.133[/C][C]0.134[/C][C]0.455[/C][C]0.124[/C][C]-0.136[/C][C]0.144[/C][C]-0.198[/C][/ROW]
[ROW][C]Learning[/C][C]0.2[/C][C]1[/C][C]0.249[/C][C]0.249[/C][C]0.623[/C][C]0.223[/C][C]0.143[/C][C]-0.231[/C][C]0.125[/C][C]-0.324[/C][/ROW]
[ROW][C]Happiness[/C][C]0.133[/C][C]0.249[/C][C]1[/C][C]1[/C][C]0.164[/C][C]0.11[/C][C]0.287[/C][C]-0.583[/C][C]0.263[/C][C]-0.247[/C][/ROW]
[ROW][C]Happiness[/C][C]0.133[/C][C]0.249[/C][C]1[/C][C]1[/C][C]0.164[/C][C]0.11[/C][C]0.287[/C][C]-0.583[/C][C]0.263[/C][C]-0.247[/C][/ROW]
[ROW][C]Software[/C][C]0.134[/C][C]0.623[/C][C]0.164[/C][C]0.164[/C][C]1[/C][C]0.19[/C][C]0.114[/C][C]-0.164[/C][C]0.098[/C][C]-0.274[/C][/ROW]
[ROW][C]Separate[/C][C]0.455[/C][C]0.223[/C][C]0.11[/C][C]0.11[/C][C]0.19[/C][C]1[/C][C]0.1[/C][C]-0.099[/C][C]0.107[/C][C]-0.114[/C][/ROW]
[ROW][C]Sport1[/C][C]0.124[/C][C]0.143[/C][C]0.287[/C][C]0.287[/C][C]0.114[/C][C]0.1[/C][C]1[/C][C]-0.329[/C][C]0.953[/C][C]0[/C][/ROW]
[ROW][C]Depression[/C][C]-0.136[/C][C]-0.231[/C][C]-0.583[/C][C]-0.583[/C][C]-0.164[/C][C]-0.099[/C][C]-0.329[/C][C]1[/C][C]-0.283[/C][C]0.234[/C][/ROW]
[ROW][C]Sport2[/C][C]0.144[/C][C]0.125[/C][C]0.263[/C][C]0.263[/C][C]0.098[/C][C]0.107[/C][C]0.953[/C][C]-0.283[/C][C]1[/C][C]-0.021[/C][/ROW]
[ROW][C]Month[/C][C]-0.198[/C][C]-0.324[/C][C]-0.247[/C][C]-0.247[/C][C]-0.274[/C][C]-0.114[/C][C]0[/C][C]0.234[/C][C]-0.021[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=286755&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=286755&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)
	Connected	Learning	Happiness	Happiness	Software	Separate	Sport1	Depression	Sport2	Month
Connected	1	0.2	0.133	0.133	0.134	0.455	0.124	-0.136	0.144	-0.198
Learning	0.2	1	0.249	0.249	0.623	0.223	0.143	-0.231	0.125	-0.324
Happiness	0.133	0.249	1	1	0.164	0.11	0.287	-0.583	0.263	-0.247
Happiness	0.133	0.249	1	1	0.164	0.11	0.287	-0.583	0.263	-0.247
Software	0.134	0.623	0.164	0.164	1	0.19	0.114	-0.164	0.098	-0.274
Separate	0.455	0.223	0.11	0.11	0.19	1	0.1	-0.099	0.107	-0.114
Sport1	0.124	0.143	0.287	0.287	0.114	0.1	1	-0.329	0.953	0
Depression	-0.136	-0.231	-0.583	-0.583	-0.164	-0.099	-0.329	1	-0.283	0.234
Sport2	0.144	0.125	0.263	0.263	0.098	0.107	0.953	-0.283	1	-0.021
Month	-0.198	-0.324	-0.247	-0.247	-0.274	-0.114	0	0.234	-0.021	1

Correlations for all pairs of data series with p-values
pair	Pearson r	Spearman rho	Kendall tau
Connected;Learning	0.1996	0.1815	0.1373
p-value	(0.0011)	(0.0031)	(0.0026)
Connected;Happiness	0.1328	0.1524	0.1127
p-value	(0.031)	(0.0132)	(0.0125)
Connected;Happiness	0.1328	0.1524	0.1127
p-value	(0.031)	(0.0132)	(0.0125)
Connected;Software	0.1339	0.1489	0.111
p-value	(0.0296)	(0.0155)	(0.015)
Connected;Separate	0.4551	0.3388	0.2521
p-value	(0)	(0)	(0)
Connected;Sport1	0.1239	0.1269	0.0929
p-value	(0.0443)	(0.0394)	(0.0328)
Connected;Depression	-0.1364	-0.1382	-0.102
p-value	(0.0267)	(0.0247)	(0.0222)
Connected;Sport2	0.1439	0.1501	0.1089
p-value	(0.0193)	(0.0146)	(0.0133)
Connected;Month	-0.1983	-0.1734	-0.1388
p-value	(0.0012)	(0.0047)	(0.005)
Learning;Happiness	0.2486	0.2395	0.1798
p-value	(0)	(1e-04)	(1e-04)
Learning;Happiness	0.2486	0.2395	0.1798
p-value	(0)	(1e-04)	(1e-04)
Learning;Software	0.6234	0.5832	0.4726
p-value	(0)	(0)	(0)
Learning;Separate	0.2227	0.2137	0.1602
p-value	(3e-04)	(5e-04)	(5e-04)
Learning;Sport1	0.1432	0.2203	0.1662
p-value	(0.02)	(3e-04)	(2e-04)
Learning;Depression	-0.2309	-0.2491	-0.1892
p-value	(2e-04)	(0)	(0)
Learning;Sport2	0.125	0.1971	0.1494
p-value	(0.0424)	(0.0013)	(9e-04)
Learning;Month	-0.3239	-0.3259	-0.2666
p-value	(0)	(0)	(0)
Happiness;Happiness	1	1	1
p-value	(0)	(0)	(0)
Happiness;Software	0.1642	0.1523	0.1123
p-value	(0.0075)	(0.0132)	(0.0154)
Happiness;Separate	0.1099	0.1155	0.0815
p-value	(0.0747)	(0.061)	(0.0715)
Happiness;Sport1	0.2871	0.3321	0.2409
p-value	(0)	(0)	(0)
Happiness;Depression	-0.5829	-0.5407	-0.4228
p-value	(0)	(0)	(0)
Happiness;Sport2	0.2633	0.2975	0.2184
p-value	(0)	(0)	(0)
Happiness;Month	-0.2467	-0.2475	-0.2043
p-value	(1e-04)	(0)	(0)
Happiness;Software	0.1642	0.1523	0.1123
p-value	(0.0075)	(0.0132)	(0.0154)
Happiness;Separate	0.1099	0.1155	0.0815
p-value	(0.0747)	(0.061)	(0.0715)
Happiness;Sport1	0.2871	0.3321	0.2409
p-value	(0)	(0)	(0)
Happiness;Depression	-0.5829	-0.5407	-0.4228
p-value	(0)	(0)	(0)
Happiness;Sport2	0.2633	0.2975	0.2184
p-value	(0)	(0)	(0)
Happiness;Month	-0.2467	-0.2475	-0.2043
p-value	(1e-04)	(0)	(0)
Software;Separate	0.1897	0.2002	0.1481
p-value	(0.002)	(0.0011)	(0.0012)
Software;Sport1	0.1139	0.1356	0.1001
p-value	(0.0647)	(0.0276)	(0.0253)
Software;Depression	-0.1636	-0.1296	-0.0961
p-value	(0.0077)	(0.0353)	(0.0361)
Software;Sport2	0.0976	0.1328	0.0985
p-value	(0.1137)	(0.031)	(0.0294)
Software;Month	-0.2739	-0.2778	-0.228
p-value	(0)	(0)	(0)
Separate;Sport1	0.1	0.0686	0.0491
p-value	(0.1049)	(0.2666)	(0.2598)
Separate;Depression	-0.0993	-0.0482	-0.0358
p-value	(0.1073)	(0.4351)	(0.4229)
Separate;Sport2	0.1073	0.0848	0.0607
p-value	(0.082)	(0.1693)	(0.1687)
Separate;Month	-0.1142	-0.1065	-0.0832
p-value	(0.0639)	(0.0841)	(0.0929)
Sport1;Depression	-0.3294	-0.3248	-0.233
p-value	(0)	(0)	(0)
Sport1;Sport2	0.953	0.9457	0.8488
p-value	(0)	(0)	(0)
Sport1;Month	3e-04	-0.0068	-0.0049
p-value	(0.9957)	(0.913)	(0.9193)
Depression;Sport2	-0.2829	-0.2823	-0.2045
p-value	(0)	(0)	(0)
Depression;Month	0.2338	0.2309	0.1886
p-value	(1e-04)	(2e-04)	(1e-04)
Sport2;Month	-0.0209	-0.0272	-0.02
p-value	(0.7358)	(0.6594)	(0.6835)

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series with p-values \tabularnewline
pair & Pearson r & Spearman rho & Kendall tau \tabularnewline
Connected;Learning & 0.1996 & 0.1815 & 0.1373 \tabularnewline
p-value & (0.0011) & (0.0031) & (0.0026) \tabularnewline
Connected;Happiness & 0.1328 & 0.1524 & 0.1127 \tabularnewline
p-value & (0.031) & (0.0132) & (0.0125) \tabularnewline
Connected;Happiness & 0.1328 & 0.1524 & 0.1127 \tabularnewline
p-value & (0.031) & (0.0132) & (0.0125) \tabularnewline
Connected;Software & 0.1339 & 0.1489 & 0.111 \tabularnewline
p-value & (0.0296) & (0.0155) & (0.015) \tabularnewline
Connected;Separate & 0.4551 & 0.3388 & 0.2521 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Connected;Sport1 & 0.1239 & 0.1269 & 0.0929 \tabularnewline
p-value & (0.0443) & (0.0394) & (0.0328) \tabularnewline
Connected;Depression & -0.1364 & -0.1382 & -0.102 \tabularnewline
p-value & (0.0267) & (0.0247) & (0.0222) \tabularnewline
Connected;Sport2 & 0.1439 & 0.1501 & 0.1089 \tabularnewline
p-value & (0.0193) & (0.0146) & (0.0133) \tabularnewline
Connected;Month & -0.1983 & -0.1734 & -0.1388 \tabularnewline
p-value & (0.0012) & (0.0047) & (0.005) \tabularnewline
Learning;Happiness & 0.2486 & 0.2395 & 0.1798 \tabularnewline
p-value & (0) & (1e-04) & (1e-04) \tabularnewline
Learning;Happiness & 0.2486 & 0.2395 & 0.1798 \tabularnewline
p-value & (0) & (1e-04) & (1e-04) \tabularnewline
Learning;Software & 0.6234 & 0.5832 & 0.4726 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Learning;Separate & 0.2227 & 0.2137 & 0.1602 \tabularnewline
p-value & (3e-04) & (5e-04) & (5e-04) \tabularnewline
Learning;Sport1 & 0.1432 & 0.2203 & 0.1662 \tabularnewline
p-value & (0.02) & (3e-04) & (2e-04) \tabularnewline
Learning;Depression & -0.2309 & -0.2491 & -0.1892 \tabularnewline
p-value & (2e-04) & (0) & (0) \tabularnewline
Learning;Sport2 & 0.125 & 0.1971 & 0.1494 \tabularnewline
p-value & (0.0424) & (0.0013) & (9e-04) \tabularnewline
Learning;Month & -0.3239 & -0.3259 & -0.2666 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Happiness;Happiness & 1 & 1 & 1 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Happiness;Software & 0.1642 & 0.1523 & 0.1123 \tabularnewline
p-value & (0.0075) & (0.0132) & (0.0154) \tabularnewline
Happiness;Separate & 0.1099 & 0.1155 & 0.0815 \tabularnewline
p-value & (0.0747) & (0.061) & (0.0715) \tabularnewline
Happiness;Sport1 & 0.2871 & 0.3321 & 0.2409 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Happiness;Depression & -0.5829 & -0.5407 & -0.4228 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Happiness;Sport2 & 0.2633 & 0.2975 & 0.2184 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Happiness;Month & -0.2467 & -0.2475 & -0.2043 \tabularnewline
p-value & (1e-04) & (0) & (0) \tabularnewline
Happiness;Software & 0.1642 & 0.1523 & 0.1123 \tabularnewline
p-value & (0.0075) & (0.0132) & (0.0154) \tabularnewline
Happiness;Separate & 0.1099 & 0.1155 & 0.0815 \tabularnewline
p-value & (0.0747) & (0.061) & (0.0715) \tabularnewline
Happiness;Sport1 & 0.2871 & 0.3321 & 0.2409 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Happiness;Depression & -0.5829 & -0.5407 & -0.4228 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Happiness;Sport2 & 0.2633 & 0.2975 & 0.2184 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Happiness;Month & -0.2467 & -0.2475 & -0.2043 \tabularnewline
p-value & (1e-04) & (0) & (0) \tabularnewline
Software;Separate & 0.1897 & 0.2002 & 0.1481 \tabularnewline
p-value & (0.002) & (0.0011) & (0.0012) \tabularnewline
Software;Sport1 & 0.1139 & 0.1356 & 0.1001 \tabularnewline
p-value & (0.0647) & (0.0276) & (0.0253) \tabularnewline
Software;Depression & -0.1636 & -0.1296 & -0.0961 \tabularnewline
p-value & (0.0077) & (0.0353) & (0.0361) \tabularnewline
Software;Sport2 & 0.0976 & 0.1328 & 0.0985 \tabularnewline
p-value & (0.1137) & (0.031) & (0.0294) \tabularnewline
Software;Month & -0.2739 & -0.2778 & -0.228 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Separate;Sport1 & 0.1 & 0.0686 & 0.0491 \tabularnewline
p-value & (0.1049) & (0.2666) & (0.2598) \tabularnewline
Separate;Depression & -0.0993 & -0.0482 & -0.0358 \tabularnewline
p-value & (0.1073) & (0.4351) & (0.4229) \tabularnewline
Separate;Sport2 & 0.1073 & 0.0848 & 0.0607 \tabularnewline
p-value & (0.082) & (0.1693) & (0.1687) \tabularnewline
Separate;Month & -0.1142 & -0.1065 & -0.0832 \tabularnewline
p-value & (0.0639) & (0.0841) & (0.0929) \tabularnewline
Sport1;Depression & -0.3294 & -0.3248 & -0.233 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Sport1;Sport2 & 0.953 & 0.9457 & 0.8488 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Sport1;Month & 3e-04 & -0.0068 & -0.0049 \tabularnewline
p-value & (0.9957) & (0.913) & (0.9193) \tabularnewline
Depression;Sport2 & -0.2829 & -0.2823 & -0.2045 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Depression;Month & 0.2338 & 0.2309 & 0.1886 \tabularnewline
p-value & (1e-04) & (2e-04) & (1e-04) \tabularnewline
Sport2;Month & -0.0209 & -0.0272 & -0.02 \tabularnewline
p-value & (0.7358) & (0.6594) & (0.6835) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=286755&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]Connected;Learning[/C][C]0.1996[/C][C]0.1815[/C][C]0.1373[/C][/ROW]
[ROW][C]p-value[/C][C](0.0011)[/C][C](0.0031)[/C][C](0.0026)[/C][/ROW]
[ROW][C]Connected;Happiness[/C][C]0.1328[/C][C]0.1524[/C][C]0.1127[/C][/ROW]
[ROW][C]p-value[/C][C](0.031)[/C][C](0.0132)[/C][C](0.0125)[/C][/ROW]
[ROW][C]Connected;Happiness[/C][C]0.1328[/C][C]0.1524[/C][C]0.1127[/C][/ROW]
[ROW][C]p-value[/C][C](0.031)[/C][C](0.0132)[/C][C](0.0125)[/C][/ROW]
[ROW][C]Connected;Software[/C][C]0.1339[/C][C]0.1489[/C][C]0.111[/C][/ROW]
[ROW][C]p-value[/C][C](0.0296)[/C][C](0.0155)[/C][C](0.015)[/C][/ROW]
[ROW][C]Connected;Separate[/C][C]0.4551[/C][C]0.3388[/C][C]0.2521[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Connected;Sport1[/C][C]0.1239[/C][C]0.1269[/C][C]0.0929[/C][/ROW]
[ROW][C]p-value[/C][C](0.0443)[/C][C](0.0394)[/C][C](0.0328)[/C][/ROW]
[ROW][C]Connected;Depression[/C][C]-0.1364[/C][C]-0.1382[/C][C]-0.102[/C][/ROW]
[ROW][C]p-value[/C][C](0.0267)[/C][C](0.0247)[/C][C](0.0222)[/C][/ROW]
[ROW][C]Connected;Sport2[/C][C]0.1439[/C][C]0.1501[/C][C]0.1089[/C][/ROW]
[ROW][C]p-value[/C][C](0.0193)[/C][C](0.0146)[/C][C](0.0133)[/C][/ROW]
[ROW][C]Connected;Month[/C][C]-0.1983[/C][C]-0.1734[/C][C]-0.1388[/C][/ROW]
[ROW][C]p-value[/C][C](0.0012)[/C][C](0.0047)[/C][C](0.005)[/C][/ROW]
[ROW][C]Learning;Happiness[/C][C]0.2486[/C][C]0.2395[/C][C]0.1798[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](1e-04)[/C][C](1e-04)[/C][/ROW]
[ROW][C]Learning;Happiness[/C][C]0.2486[/C][C]0.2395[/C][C]0.1798[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](1e-04)[/C][C](1e-04)[/C][/ROW]
[ROW][C]Learning;Software[/C][C]0.6234[/C][C]0.5832[/C][C]0.4726[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Learning;Separate[/C][C]0.2227[/C][C]0.2137[/C][C]0.1602[/C][/ROW]
[ROW][C]p-value[/C][C](3e-04)[/C][C](5e-04)[/C][C](5e-04)[/C][/ROW]
[ROW][C]Learning;Sport1[/C][C]0.1432[/C][C]0.2203[/C][C]0.1662[/C][/ROW]
[ROW][C]p-value[/C][C](0.02)[/C][C](3e-04)[/C][C](2e-04)[/C][/ROW]
[ROW][C]Learning;Depression[/C][C]-0.2309[/C][C]-0.2491[/C][C]-0.1892[/C][/ROW]
[ROW][C]p-value[/C][C](2e-04)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Learning;Sport2[/C][C]0.125[/C][C]0.1971[/C][C]0.1494[/C][/ROW]
[ROW][C]p-value[/C][C](0.0424)[/C][C](0.0013)[/C][C](9e-04)[/C][/ROW]
[ROW][C]Learning;Month[/C][C]-0.3239[/C][C]-0.3259[/C][C]-0.2666[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Happiness;Happiness[/C][C]1[/C][C]1[/C][C]1[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Happiness;Software[/C][C]0.1642[/C][C]0.1523[/C][C]0.1123[/C][/ROW]
[ROW][C]p-value[/C][C](0.0075)[/C][C](0.0132)[/C][C](0.0154)[/C][/ROW]
[ROW][C]Happiness;Separate[/C][C]0.1099[/C][C]0.1155[/C][C]0.0815[/C][/ROW]
[ROW][C]p-value[/C][C](0.0747)[/C][C](0.061)[/C][C](0.0715)[/C][/ROW]
[ROW][C]Happiness;Sport1[/C][C]0.2871[/C][C]0.3321[/C][C]0.2409[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Happiness;Depression[/C][C]-0.5829[/C][C]-0.5407[/C][C]-0.4228[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Happiness;Sport2[/C][C]0.2633[/C][C]0.2975[/C][C]0.2184[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Happiness;Month[/C][C]-0.2467[/C][C]-0.2475[/C][C]-0.2043[/C][/ROW]
[ROW][C]p-value[/C][C](1e-04)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Happiness;Software[/C][C]0.1642[/C][C]0.1523[/C][C]0.1123[/C][/ROW]
[ROW][C]p-value[/C][C](0.0075)[/C][C](0.0132)[/C][C](0.0154)[/C][/ROW]
[ROW][C]Happiness;Separate[/C][C]0.1099[/C][C]0.1155[/C][C]0.0815[/C][/ROW]
[ROW][C]p-value[/C][C](0.0747)[/C][C](0.061)[/C][C](0.0715)[/C][/ROW]
[ROW][C]Happiness;Sport1[/C][C]0.2871[/C][C]0.3321[/C][C]0.2409[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Happiness;Depression[/C][C]-0.5829[/C][C]-0.5407[/C][C]-0.4228[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Happiness;Sport2[/C][C]0.2633[/C][C]0.2975[/C][C]0.2184[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Happiness;Month[/C][C]-0.2467[/C][C]-0.2475[/C][C]-0.2043[/C][/ROW]
[ROW][C]p-value[/C][C](1e-04)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Software;Separate[/C][C]0.1897[/C][C]0.2002[/C][C]0.1481[/C][/ROW]
[ROW][C]p-value[/C][C](0.002)[/C][C](0.0011)[/C][C](0.0012)[/C][/ROW]
[ROW][C]Software;Sport1[/C][C]0.1139[/C][C]0.1356[/C][C]0.1001[/C][/ROW]
[ROW][C]p-value[/C][C](0.0647)[/C][C](0.0276)[/C][C](0.0253)[/C][/ROW]
[ROW][C]Software;Depression[/C][C]-0.1636[/C][C]-0.1296[/C][C]-0.0961[/C][/ROW]
[ROW][C]p-value[/C][C](0.0077)[/C][C](0.0353)[/C][C](0.0361)[/C][/ROW]
[ROW][C]Software;Sport2[/C][C]0.0976[/C][C]0.1328[/C][C]0.0985[/C][/ROW]
[ROW][C]p-value[/C][C](0.1137)[/C][C](0.031)[/C][C](0.0294)[/C][/ROW]
[ROW][C]Software;Month[/C][C]-0.2739[/C][C]-0.2778[/C][C]-0.228[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Separate;Sport1[/C][C]0.1[/C][C]0.0686[/C][C]0.0491[/C][/ROW]
[ROW][C]p-value[/C][C](0.1049)[/C][C](0.2666)[/C][C](0.2598)[/C][/ROW]
[ROW][C]Separate;Depression[/C][C]-0.0993[/C][C]-0.0482[/C][C]-0.0358[/C][/ROW]
[ROW][C]p-value[/C][C](0.1073)[/C][C](0.4351)[/C][C](0.4229)[/C][/ROW]
[ROW][C]Separate;Sport2[/C][C]0.1073[/C][C]0.0848[/C][C]0.0607[/C][/ROW]
[ROW][C]p-value[/C][C](0.082)[/C][C](0.1693)[/C][C](0.1687)[/C][/ROW]
[ROW][C]Separate;Month[/C][C]-0.1142[/C][C]-0.1065[/C][C]-0.0832[/C][/ROW]
[ROW][C]p-value[/C][C](0.0639)[/C][C](0.0841)[/C][C](0.0929)[/C][/ROW]
[ROW][C]Sport1;Depression[/C][C]-0.3294[/C][C]-0.3248[/C][C]-0.233[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Sport1;Sport2[/C][C]0.953[/C][C]0.9457[/C][C]0.8488[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Sport1;Month[/C][C]3e-04[/C][C]-0.0068[/C][C]-0.0049[/C][/ROW]
[ROW][C]p-value[/C][C](0.9957)[/C][C](0.913)[/C][C](0.9193)[/C][/ROW]
[ROW][C]Depression;Sport2[/C][C]-0.2829[/C][C]-0.2823[/C][C]-0.2045[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Depression;Month[/C][C]0.2338[/C][C]0.2309[/C][C]0.1886[/C][/ROW]
[ROW][C]p-value[/C][C](1e-04)[/C][C](2e-04)[/C][C](1e-04)[/C][/ROW]
[ROW][C]Sport2;Month[/C][C]-0.0209[/C][C]-0.0272[/C][C]-0.02[/C][/ROW]
[ROW][C]p-value[/C][C](0.7358)[/C][C](0.6594)[/C][C](0.6835)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=286755&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=286755&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
Connected;Learning	0.1996	0.1815	0.1373
p-value	(0.0011)	(0.0031)	(0.0026)
Connected;Happiness	0.1328	0.1524	0.1127
p-value	(0.031)	(0.0132)	(0.0125)
Connected;Happiness	0.1328	0.1524	0.1127
p-value	(0.031)	(0.0132)	(0.0125)
Connected;Software	0.1339	0.1489	0.111
p-value	(0.0296)	(0.0155)	(0.015)
Connected;Separate	0.4551	0.3388	0.2521
p-value	(0)	(0)	(0)
Connected;Sport1	0.1239	0.1269	0.0929
p-value	(0.0443)	(0.0394)	(0.0328)
Connected;Depression	-0.1364	-0.1382	-0.102
p-value	(0.0267)	(0.0247)	(0.0222)
Connected;Sport2	0.1439	0.1501	0.1089
p-value	(0.0193)	(0.0146)	(0.0133)
Connected;Month	-0.1983	-0.1734	-0.1388
p-value	(0.0012)	(0.0047)	(0.005)
Learning;Happiness	0.2486	0.2395	0.1798
p-value	(0)	(1e-04)	(1e-04)
Learning;Happiness	0.2486	0.2395	0.1798
p-value	(0)	(1e-04)	(1e-04)
Learning;Software	0.6234	0.5832	0.4726
p-value	(0)	(0)	(0)
Learning;Separate	0.2227	0.2137	0.1602
p-value	(3e-04)	(5e-04)	(5e-04)
Learning;Sport1	0.1432	0.2203	0.1662
p-value	(0.02)	(3e-04)	(2e-04)
Learning;Depression	-0.2309	-0.2491	-0.1892
p-value	(2e-04)	(0)	(0)
Learning;Sport2	0.125	0.1971	0.1494
p-value	(0.0424)	(0.0013)	(9e-04)
Learning;Month	-0.3239	-0.3259	-0.2666
p-value	(0)	(0)	(0)
Happiness;Happiness	1	1	1
p-value	(0)	(0)	(0)
Happiness;Software	0.1642	0.1523	0.1123
p-value	(0.0075)	(0.0132)	(0.0154)
Happiness;Separate	0.1099	0.1155	0.0815
p-value	(0.0747)	(0.061)	(0.0715)
Happiness;Sport1	0.2871	0.3321	0.2409
p-value	(0)	(0)	(0)
Happiness;Depression	-0.5829	-0.5407	-0.4228
p-value	(0)	(0)	(0)
Happiness;Sport2	0.2633	0.2975	0.2184
p-value	(0)	(0)	(0)
Happiness;Month	-0.2467	-0.2475	-0.2043
p-value	(1e-04)	(0)	(0)
Happiness;Software	0.1642	0.1523	0.1123
p-value	(0.0075)	(0.0132)	(0.0154)
Happiness;Separate	0.1099	0.1155	0.0815
p-value	(0.0747)	(0.061)	(0.0715)
Happiness;Sport1	0.2871	0.3321	0.2409
p-value	(0)	(0)	(0)
Happiness;Depression	-0.5829	-0.5407	-0.4228
p-value	(0)	(0)	(0)
Happiness;Sport2	0.2633	0.2975	0.2184
p-value	(0)	(0)	(0)
Happiness;Month	-0.2467	-0.2475	-0.2043
p-value	(1e-04)	(0)	(0)
Software;Separate	0.1897	0.2002	0.1481
p-value	(0.002)	(0.0011)	(0.0012)
Software;Sport1	0.1139	0.1356	0.1001
p-value	(0.0647)	(0.0276)	(0.0253)
Software;Depression	-0.1636	-0.1296	-0.0961
p-value	(0.0077)	(0.0353)	(0.0361)
Software;Sport2	0.0976	0.1328	0.0985
p-value	(0.1137)	(0.031)	(0.0294)
Software;Month	-0.2739	-0.2778	-0.228
p-value	(0)	(0)	(0)
Separate;Sport1	0.1	0.0686	0.0491
p-value	(0.1049)	(0.2666)	(0.2598)
Separate;Depression	-0.0993	-0.0482	-0.0358
p-value	(0.1073)	(0.4351)	(0.4229)
Separate;Sport2	0.1073	0.0848	0.0607
p-value	(0.082)	(0.1693)	(0.1687)
Separate;Month	-0.1142	-0.1065	-0.0832
p-value	(0.0639)	(0.0841)	(0.0929)
Sport1;Depression	-0.3294	-0.3248	-0.233
p-value	(0)	(0)	(0)
Sport1;Sport2	0.953	0.9457	0.8488
p-value	(0)	(0)	(0)
Sport1;Month	3e-04	-0.0068	-0.0049
p-value	(0.9957)	(0.913)	(0.9193)
Depression;Sport2	-0.2829	-0.2823	-0.2045
p-value	(0)	(0)	(0)
Depression;Month	0.2338	0.2309	0.1886
p-value	(1e-04)	(2e-04)	(1e-04)
Sport2;Month	-0.0209	-0.0272	-0.02
p-value	(0.7358)	(0.6594)	(0.6835)

Meta Analysis of Correlation Tests
Number of significant by total number of Correlations
Type I error	Pearson r	Spearman rho	Kendall tau
0.01	0.6	0.58	0.58
0.02	0.64	0.71	0.71
0.03	0.69	0.76	0.78
0.04	0.73	0.82	0.82
0.05	0.78	0.82	0.82
0.06	0.78	0.82	0.82
0.07	0.82	0.87	0.82
0.08	0.87	0.87	0.87
0.09	0.89	0.89	0.87
0.1	0.89	0.89	0.89

\begin{tabular}{lllllllll}
\hline
Meta Analysis of Correlation Tests \tabularnewline
Number of significant by total number of Correlations \tabularnewline
Type I error & Pearson r & Spearman rho & Kendall tau \tabularnewline
0.01 & 0.6 & 0.58 & 0.58 \tabularnewline
0.02 & 0.64 & 0.71 & 0.71 \tabularnewline
0.03 & 0.69 & 0.76 & 0.78 \tabularnewline
0.04 & 0.73 & 0.82 & 0.82 \tabularnewline
0.05 & 0.78 & 0.82 & 0.82 \tabularnewline
0.06 & 0.78 & 0.82 & 0.82 \tabularnewline
0.07 & 0.82 & 0.87 & 0.82 \tabularnewline
0.08 & 0.87 & 0.87 & 0.87 \tabularnewline
0.09 & 0.89 & 0.89 & 0.87 \tabularnewline
0.1 & 0.89 & 0.89 & 0.89 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=286755&T=3

[TABLE]
[ROW][C]Meta Analysis of Correlation Tests[/C][/ROW]
[ROW][C]Number of significant by total number of Correlations[/C][/ROW]
[ROW][C]Type I error[/C][C]Pearson r[/C][C]Spearman rho[/C][C]Kendall tau[/C][/ROW]
[ROW][C]0.01[/C][C]0.6[/C][C]0.58[/C][C]0.58[/C][/ROW]
[ROW][C]0.02[/C][C]0.64[/C][C]0.71[/C][C]0.71[/C][/ROW]
[ROW][C]0.03[/C][C]0.69[/C][C]0.76[/C][C]0.78[/C][/ROW]
[ROW][C]0.04[/C][C]0.73[/C][C]0.82[/C][C]0.82[/C][/ROW]
[ROW][C]0.05[/C][C]0.78[/C][C]0.82[/C][C]0.82[/C][/ROW]
[ROW][C]0.06[/C][C]0.78[/C][C]0.82[/C][C]0.82[/C][/ROW]
[ROW][C]0.07[/C][C]0.82[/C][C]0.87[/C][C]0.82[/C][/ROW]
[ROW][C]0.08[/C][C]0.87[/C][C]0.87[/C][C]0.87[/C][/ROW]
[ROW][C]0.09[/C][C]0.89[/C][C]0.89[/C][C]0.87[/C][/ROW]
[ROW][C]0.1[/C][C]0.89[/C][C]0.89[/C][C]0.89[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=286755&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=286755&T=3

As an alternative you can also use a QR Code:

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

Meta Analysis of Correlation Tests
Number of significant by total number of Correlations
Type I error	Pearson r	Spearman rho	Kendall tau
0.01	0.6	0.58	0.58
0.02	0.64	0.71	0.71
0.03	0.69	0.76	0.78
0.04	0.73	0.82	0.82
0.05	0.78	0.82	0.82
0.06	0.78	0.82	0.82
0.07	0.82	0.87	0.82
0.08	0.87	0.87	0.87
0.09	0.89	0.89	0.87
0.1	0.89	0.89	0.89

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 3 ; par2 = 4 ; par3 = Pearson Chi-Squared ; par4 = FALSE ;

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$counts; y <- y/max(y)
rect(breaks[-nB], 0, breaks[-1], y, col='grey', ...)
}
x <- na.omit(x)
y <- t(na.omit(t(y)))
bitmap(file='test1.png')
pairs(t(y),diag.panel=panel.hist, upper.panel=panel.smooth, lower.panel=panel.tau, main=main)
dev.off()
load(file='createtable')
n <- length(y[,1])
n
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,paste('Correlations for all pairs of data series (method=',par1,')',sep=''),n+1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,' ',header=TRUE)
for (i in 1:n) {
a<-table.element(a,dimnames(t(x))[[2]][i],header=TRUE)
}
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,dimnames(t(x))[[2]][i],header=TRUE)
for (j in 1:n) {
r <- cor.test(y[i,],y[j,],method=par1)
a<-table.element(a,round(r$estimate,3))
}
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
ncorrs <- (n*n -n)/2
mycorrs <- array(0, dim=c(10,3))
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)
for (iii in 1:10) {
iiid100 <- iii / 100
if (rp$p.value < iiid100) mycorrs[iii, 1] = mycorrs[iii, 1] + 1
if (rs$p.value < iiid100) mycorrs[iii, 2] = mycorrs[iii, 2] + 1
if (rk$p.value < iiid100) mycorrs[iii, 3] = mycorrs[iii, 3] + 1
}
}
}
a<-table.end(a)
table.save(a,file='mytable1.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Meta Analysis of Correlation Tests',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Number of significant by total number of Correlations',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Type I error',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)
for (iii in 1:10) {
iiid100 <- iii / 100
a<-table.row.start(a)
a<-table.element(a,round(iiid100,2),header=T)
a<-table.element(a,round(mycorrs[iii,1]/ncorrs,2))
a<-table.element(a,round(mycorrs[iii,2]/ncorrs,2))
a<-table.element(a,round(mycorrs[iii,3]/ncorrs,2))
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