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Author

*Unverified author*

R Software Module

rwasp_smp.wasp

Title produced by software

Standard Deviation-Mean Plot

Date of computation

Sat, 19 Nov 2016 18:57:45 +0000

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2016/Nov/19/t1479581936cqst5zhwklt7avb.htm/, Retrieved Sat, 04 May 2024 19:44:52 +0200

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Sat, 04 May 2024 19:44:52 +0200

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Estimated Impact

Dataseries X:

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Histogram

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Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]1 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=&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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	1 seconds
R Server	'Gwilym Jenkins' @ jenkins.wessa.net

Standard Deviation-Mean Plot
Section	Mean	Standard Deviation	Range
1	5035026.75	26128.8440899568	78848
2	5112005.33333333	18665.6491172875	56383
3	5168738.08333333	15849.8283125679	47386
4	5223023.66666667	17603.2856506099	52555
5	5283639.5	19470.9569802635	58113
6	5351855.66666667	21527.8823868165	63491
7	5421555.91666667	21075.6497687317	62576
8	5489135.75	21024.1864057263	62222
9	5568797.25	25129.0319356462	79189
10	5649201.91666667	20872.7902279862	62156
11	5715443.58333333	20709.6672308033	62010
12	5791899.08333333	25792.4289612223	76707
13	5875080.41666667	25880.5217365505	78552
14	5958029.66666667	23227.8360332571	70853
15	6040854.33333333	27070.4503415989	81100
16	6129581.25	26641.0427489241	79474
17	6215952.33333333	26258.19250282	77241
18	6286606.83333333	17223.2150036109	50687
19	6345315.66666667	20778.6672436959	60332
20	6418964.58333333	25596.5289602049	75371
21	6501502.08333333	25886.5739067337	76475
22	6583427.16666667	22995.6009739149	67911
23	6647875.16666667	16490.998298429	47681
24	6696355.25	15008.3049501692	43332
25	6743307.83333333	15735.9326663146	45832
26	6798204.25	20782.6918071264	61299
27	6852076.91666667	11056.8346568441	32691
28	6887168.08333333	11518.4352429907	33339
29	6923151.08333333	12330.217224794	35517
30	6965581.08333333	15003.7666631861	45207
31	7018065.16666667	16989.4181442093	50476
32	7063655.83333333	10435.2126330502	30968
33	7090719.25	6830.13364869904	19707
34	7111197.83333333	6965.20091511213	19796
35	7135081.91666667	8295.79498583286	24150
36	7164058.5	11413.1853931399	32842
37	7200426.41666667	12764.6677445513	36525
38	7246482.33333333	15773.8810658249	46259
39	7293366.91666667	13547.085459499	40507
40	7334447.75	13526.5040106452	39843
41	7384641.75	19179.8212719182	56978
42	7446571.75	19125.1604301055	57134
43	7504401.66666667	16596.6727625714	50203
44	7558584.75	16832.5706680666	48209
45	7604267.33333333	12740.4875840286	38671
46	7643763.58333333	10992.8929227299	33488
47	7675686.16666667	11107.6937368436	32560
48	7715356.91666667	13829.553607851	40577
49	7762512.83333333	16375.4441873597	50174
50	7816023.33333333	16697.6261314069	49529
51	7873705.33333333	20068.5240401858	59876
52	7936633.25	19042.3196501658	57073
53	7991024.58333333	13467.9428371653	40455
54	8028169.5	8987.85148256953	26846
55	8052095.91666667	5908.18471518857	16519
56	8069624.83333333	4023.40005091427	10531
57	8079866.41666667	3542.44151702116	9218
58	8097519.5	7530.24428554612	21378
59	8129676.33333333	13806.9372506152	40728
60	8175707.83333333	15023.3265280928	43622
61	8220654.66666667	13295.0081769152	39080
62	8261413.5	13009.7621493177	38854
63	8292978.16666667	8998.05003960033	25227
64	8318088.16666667	9595.79565921103	27146
65	8351282.33333333	12521.5537398761	38035
66	8389253.25	13912.4665620769	41779

\begin{tabular}{lllllllll}
\hline
Standard Deviation-Mean Plot \tabularnewline
Section & Mean & Standard Deviation & Range \tabularnewline
1 & 5035026.75 & 26128.8440899568 & 78848 \tabularnewline
2 & 5112005.33333333 & 18665.6491172875 & 56383 \tabularnewline
3 & 5168738.08333333 & 15849.8283125679 & 47386 \tabularnewline
4 & 5223023.66666667 & 17603.2856506099 & 52555 \tabularnewline
5 & 5283639.5 & 19470.9569802635 & 58113 \tabularnewline
6 & 5351855.66666667 & 21527.8823868165 & 63491 \tabularnewline
7 & 5421555.91666667 & 21075.6497687317 & 62576 \tabularnewline
8 & 5489135.75 & 21024.1864057263 & 62222 \tabularnewline
9 & 5568797.25 & 25129.0319356462 & 79189 \tabularnewline
10 & 5649201.91666667 & 20872.7902279862 & 62156 \tabularnewline
11 & 5715443.58333333 & 20709.6672308033 & 62010 \tabularnewline
12 & 5791899.08333333 & 25792.4289612223 & 76707 \tabularnewline
13 & 5875080.41666667 & 25880.5217365505 & 78552 \tabularnewline
14 & 5958029.66666667 & 23227.8360332571 & 70853 \tabularnewline
15 & 6040854.33333333 & 27070.4503415989 & 81100 \tabularnewline
16 & 6129581.25 & 26641.0427489241 & 79474 \tabularnewline
17 & 6215952.33333333 & 26258.19250282 & 77241 \tabularnewline
18 & 6286606.83333333 & 17223.2150036109 & 50687 \tabularnewline
19 & 6345315.66666667 & 20778.6672436959 & 60332 \tabularnewline
20 & 6418964.58333333 & 25596.5289602049 & 75371 \tabularnewline
21 & 6501502.08333333 & 25886.5739067337 & 76475 \tabularnewline
22 & 6583427.16666667 & 22995.6009739149 & 67911 \tabularnewline
23 & 6647875.16666667 & 16490.998298429 & 47681 \tabularnewline
24 & 6696355.25 & 15008.3049501692 & 43332 \tabularnewline
25 & 6743307.83333333 & 15735.9326663146 & 45832 \tabularnewline
26 & 6798204.25 & 20782.6918071264 & 61299 \tabularnewline
27 & 6852076.91666667 & 11056.8346568441 & 32691 \tabularnewline
28 & 6887168.08333333 & 11518.4352429907 & 33339 \tabularnewline
29 & 6923151.08333333 & 12330.217224794 & 35517 \tabularnewline
30 & 6965581.08333333 & 15003.7666631861 & 45207 \tabularnewline
31 & 7018065.16666667 & 16989.4181442093 & 50476 \tabularnewline
32 & 7063655.83333333 & 10435.2126330502 & 30968 \tabularnewline
33 & 7090719.25 & 6830.13364869904 & 19707 \tabularnewline
34 & 7111197.83333333 & 6965.20091511213 & 19796 \tabularnewline
35 & 7135081.91666667 & 8295.79498583286 & 24150 \tabularnewline
36 & 7164058.5 & 11413.1853931399 & 32842 \tabularnewline
37 & 7200426.41666667 & 12764.6677445513 & 36525 \tabularnewline
38 & 7246482.33333333 & 15773.8810658249 & 46259 \tabularnewline
39 & 7293366.91666667 & 13547.085459499 & 40507 \tabularnewline
40 & 7334447.75 & 13526.5040106452 & 39843 \tabularnewline
41 & 7384641.75 & 19179.8212719182 & 56978 \tabularnewline
42 & 7446571.75 & 19125.1604301055 & 57134 \tabularnewline
43 & 7504401.66666667 & 16596.6727625714 & 50203 \tabularnewline
44 & 7558584.75 & 16832.5706680666 & 48209 \tabularnewline
45 & 7604267.33333333 & 12740.4875840286 & 38671 \tabularnewline
46 & 7643763.58333333 & 10992.8929227299 & 33488 \tabularnewline
47 & 7675686.16666667 & 11107.6937368436 & 32560 \tabularnewline
48 & 7715356.91666667 & 13829.553607851 & 40577 \tabularnewline
49 & 7762512.83333333 & 16375.4441873597 & 50174 \tabularnewline
50 & 7816023.33333333 & 16697.6261314069 & 49529 \tabularnewline
51 & 7873705.33333333 & 20068.5240401858 & 59876 \tabularnewline
52 & 7936633.25 & 19042.3196501658 & 57073 \tabularnewline
53 & 7991024.58333333 & 13467.9428371653 & 40455 \tabularnewline
54 & 8028169.5 & 8987.85148256953 & 26846 \tabularnewline
55 & 8052095.91666667 & 5908.18471518857 & 16519 \tabularnewline
56 & 8069624.83333333 & 4023.40005091427 & 10531 \tabularnewline
57 & 8079866.41666667 & 3542.44151702116 & 9218 \tabularnewline
58 & 8097519.5 & 7530.24428554612 & 21378 \tabularnewline
59 & 8129676.33333333 & 13806.9372506152 & 40728 \tabularnewline
60 & 8175707.83333333 & 15023.3265280928 & 43622 \tabularnewline
61 & 8220654.66666667 & 13295.0081769152 & 39080 \tabularnewline
62 & 8261413.5 & 13009.7621493177 & 38854 \tabularnewline
63 & 8292978.16666667 & 8998.05003960033 & 25227 \tabularnewline
64 & 8318088.16666667 & 9595.79565921103 & 27146 \tabularnewline
65 & 8351282.33333333 & 12521.5537398761 & 38035 \tabularnewline
66 & 8389253.25 & 13912.4665620769 & 41779 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&T=1

[TABLE]
[ROW][C]Standard Deviation-Mean Plot[/C][/ROW]
[ROW][C]Section[/C][C]Mean[/C][C]Standard Deviation[/C][C]Range[/C][/ROW]
[ROW][C]1[/C][C]5035026.75[/C][C]26128.8440899568[/C][C]78848[/C][/ROW]
[ROW][C]2[/C][C]5112005.33333333[/C][C]18665.6491172875[/C][C]56383[/C][/ROW]
[ROW][C]3[/C][C]5168738.08333333[/C][C]15849.8283125679[/C][C]47386[/C][/ROW]
[ROW][C]4[/C][C]5223023.66666667[/C][C]17603.2856506099[/C][C]52555[/C][/ROW]
[ROW][C]5[/C][C]5283639.5[/C][C]19470.9569802635[/C][C]58113[/C][/ROW]
[ROW][C]6[/C][C]5351855.66666667[/C][C]21527.8823868165[/C][C]63491[/C][/ROW]
[ROW][C]7[/C][C]5421555.91666667[/C][C]21075.6497687317[/C][C]62576[/C][/ROW]
[ROW][C]8[/C][C]5489135.75[/C][C]21024.1864057263[/C][C]62222[/C][/ROW]
[ROW][C]9[/C][C]5568797.25[/C][C]25129.0319356462[/C][C]79189[/C][/ROW]
[ROW][C]10[/C][C]5649201.91666667[/C][C]20872.7902279862[/C][C]62156[/C][/ROW]
[ROW][C]11[/C][C]5715443.58333333[/C][C]20709.6672308033[/C][C]62010[/C][/ROW]
[ROW][C]12[/C][C]5791899.08333333[/C][C]25792.4289612223[/C][C]76707[/C][/ROW]
[ROW][C]13[/C][C]5875080.41666667[/C][C]25880.5217365505[/C][C]78552[/C][/ROW]
[ROW][C]14[/C][C]5958029.66666667[/C][C]23227.8360332571[/C][C]70853[/C][/ROW]
[ROW][C]15[/C][C]6040854.33333333[/C][C]27070.4503415989[/C][C]81100[/C][/ROW]
[ROW][C]16[/C][C]6129581.25[/C][C]26641.0427489241[/C][C]79474[/C][/ROW]
[ROW][C]17[/C][C]6215952.33333333[/C][C]26258.19250282[/C][C]77241[/C][/ROW]
[ROW][C]18[/C][C]6286606.83333333[/C][C]17223.2150036109[/C][C]50687[/C][/ROW]
[ROW][C]19[/C][C]6345315.66666667[/C][C]20778.6672436959[/C][C]60332[/C][/ROW]
[ROW][C]20[/C][C]6418964.58333333[/C][C]25596.5289602049[/C][C]75371[/C][/ROW]
[ROW][C]21[/C][C]6501502.08333333[/C][C]25886.5739067337[/C][C]76475[/C][/ROW]
[ROW][C]22[/C][C]6583427.16666667[/C][C]22995.6009739149[/C][C]67911[/C][/ROW]
[ROW][C]23[/C][C]6647875.16666667[/C][C]16490.998298429[/C][C]47681[/C][/ROW]
[ROW][C]24[/C][C]6696355.25[/C][C]15008.3049501692[/C][C]43332[/C][/ROW]
[ROW][C]25[/C][C]6743307.83333333[/C][C]15735.9326663146[/C][C]45832[/C][/ROW]
[ROW][C]26[/C][C]6798204.25[/C][C]20782.6918071264[/C][C]61299[/C][/ROW]
[ROW][C]27[/C][C]6852076.91666667[/C][C]11056.8346568441[/C][C]32691[/C][/ROW]
[ROW][C]28[/C][C]6887168.08333333[/C][C]11518.4352429907[/C][C]33339[/C][/ROW]
[ROW][C]29[/C][C]6923151.08333333[/C][C]12330.217224794[/C][C]35517[/C][/ROW]
[ROW][C]30[/C][C]6965581.08333333[/C][C]15003.7666631861[/C][C]45207[/C][/ROW]
[ROW][C]31[/C][C]7018065.16666667[/C][C]16989.4181442093[/C][C]50476[/C][/ROW]
[ROW][C]32[/C][C]7063655.83333333[/C][C]10435.2126330502[/C][C]30968[/C][/ROW]
[ROW][C]33[/C][C]7090719.25[/C][C]6830.13364869904[/C][C]19707[/C][/ROW]
[ROW][C]34[/C][C]7111197.83333333[/C][C]6965.20091511213[/C][C]19796[/C][/ROW]
[ROW][C]35[/C][C]7135081.91666667[/C][C]8295.79498583286[/C][C]24150[/C][/ROW]
[ROW][C]36[/C][C]7164058.5[/C][C]11413.1853931399[/C][C]32842[/C][/ROW]
[ROW][C]37[/C][C]7200426.41666667[/C][C]12764.6677445513[/C][C]36525[/C][/ROW]
[ROW][C]38[/C][C]7246482.33333333[/C][C]15773.8810658249[/C][C]46259[/C][/ROW]
[ROW][C]39[/C][C]7293366.91666667[/C][C]13547.085459499[/C][C]40507[/C][/ROW]
[ROW][C]40[/C][C]7334447.75[/C][C]13526.5040106452[/C][C]39843[/C][/ROW]
[ROW][C]41[/C][C]7384641.75[/C][C]19179.8212719182[/C][C]56978[/C][/ROW]
[ROW][C]42[/C][C]7446571.75[/C][C]19125.1604301055[/C][C]57134[/C][/ROW]
[ROW][C]43[/C][C]7504401.66666667[/C][C]16596.6727625714[/C][C]50203[/C][/ROW]
[ROW][C]44[/C][C]7558584.75[/C][C]16832.5706680666[/C][C]48209[/C][/ROW]
[ROW][C]45[/C][C]7604267.33333333[/C][C]12740.4875840286[/C][C]38671[/C][/ROW]
[ROW][C]46[/C][C]7643763.58333333[/C][C]10992.8929227299[/C][C]33488[/C][/ROW]
[ROW][C]47[/C][C]7675686.16666667[/C][C]11107.6937368436[/C][C]32560[/C][/ROW]
[ROW][C]48[/C][C]7715356.91666667[/C][C]13829.553607851[/C][C]40577[/C][/ROW]
[ROW][C]49[/C][C]7762512.83333333[/C][C]16375.4441873597[/C][C]50174[/C][/ROW]
[ROW][C]50[/C][C]7816023.33333333[/C][C]16697.6261314069[/C][C]49529[/C][/ROW]
[ROW][C]51[/C][C]7873705.33333333[/C][C]20068.5240401858[/C][C]59876[/C][/ROW]
[ROW][C]52[/C][C]7936633.25[/C][C]19042.3196501658[/C][C]57073[/C][/ROW]
[ROW][C]53[/C][C]7991024.58333333[/C][C]13467.9428371653[/C][C]40455[/C][/ROW]
[ROW][C]54[/C][C]8028169.5[/C][C]8987.85148256953[/C][C]26846[/C][/ROW]
[ROW][C]55[/C][C]8052095.91666667[/C][C]5908.18471518857[/C][C]16519[/C][/ROW]
[ROW][C]56[/C][C]8069624.83333333[/C][C]4023.40005091427[/C][C]10531[/C][/ROW]
[ROW][C]57[/C][C]8079866.41666667[/C][C]3542.44151702116[/C][C]9218[/C][/ROW]
[ROW][C]58[/C][C]8097519.5[/C][C]7530.24428554612[/C][C]21378[/C][/ROW]
[ROW][C]59[/C][C]8129676.33333333[/C][C]13806.9372506152[/C][C]40728[/C][/ROW]
[ROW][C]60[/C][C]8175707.83333333[/C][C]15023.3265280928[/C][C]43622[/C][/ROW]
[ROW][C]61[/C][C]8220654.66666667[/C][C]13295.0081769152[/C][C]39080[/C][/ROW]
[ROW][C]62[/C][C]8261413.5[/C][C]13009.7621493177[/C][C]38854[/C][/ROW]
[ROW][C]63[/C][C]8292978.16666667[/C][C]8998.05003960033[/C][C]25227[/C][/ROW]
[ROW][C]64[/C][C]8318088.16666667[/C][C]9595.79565921103[/C][C]27146[/C][/ROW]
[ROW][C]65[/C][C]8351282.33333333[/C][C]12521.5537398761[/C][C]38035[/C][/ROW]
[ROW][C]66[/C][C]8389253.25[/C][C]13912.4665620769[/C][C]41779[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

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

As an alternative you can also use a QR Code:

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

Standard Deviation-Mean Plot
Section	Mean	Standard Deviation	Range
1	5035026.75	26128.8440899568	78848
2	5112005.33333333	18665.6491172875	56383
3	5168738.08333333	15849.8283125679	47386
4	5223023.66666667	17603.2856506099	52555
5	5283639.5	19470.9569802635	58113
6	5351855.66666667	21527.8823868165	63491
7	5421555.91666667	21075.6497687317	62576
8	5489135.75	21024.1864057263	62222
9	5568797.25	25129.0319356462	79189
10	5649201.91666667	20872.7902279862	62156
11	5715443.58333333	20709.6672308033	62010
12	5791899.08333333	25792.4289612223	76707
13	5875080.41666667	25880.5217365505	78552
14	5958029.66666667	23227.8360332571	70853
15	6040854.33333333	27070.4503415989	81100
16	6129581.25	26641.0427489241	79474
17	6215952.33333333	26258.19250282	77241
18	6286606.83333333	17223.2150036109	50687
19	6345315.66666667	20778.6672436959	60332
20	6418964.58333333	25596.5289602049	75371
21	6501502.08333333	25886.5739067337	76475
22	6583427.16666667	22995.6009739149	67911
23	6647875.16666667	16490.998298429	47681
24	6696355.25	15008.3049501692	43332
25	6743307.83333333	15735.9326663146	45832
26	6798204.25	20782.6918071264	61299
27	6852076.91666667	11056.8346568441	32691
28	6887168.08333333	11518.4352429907	33339
29	6923151.08333333	12330.217224794	35517
30	6965581.08333333	15003.7666631861	45207
31	7018065.16666667	16989.4181442093	50476
32	7063655.83333333	10435.2126330502	30968
33	7090719.25	6830.13364869904	19707
34	7111197.83333333	6965.20091511213	19796
35	7135081.91666667	8295.79498583286	24150
36	7164058.5	11413.1853931399	32842
37	7200426.41666667	12764.6677445513	36525
38	7246482.33333333	15773.8810658249	46259
39	7293366.91666667	13547.085459499	40507
40	7334447.75	13526.5040106452	39843
41	7384641.75	19179.8212719182	56978
42	7446571.75	19125.1604301055	57134
43	7504401.66666667	16596.6727625714	50203
44	7558584.75	16832.5706680666	48209
45	7604267.33333333	12740.4875840286	38671
46	7643763.58333333	10992.8929227299	33488
47	7675686.16666667	11107.6937368436	32560
48	7715356.91666667	13829.553607851	40577
49	7762512.83333333	16375.4441873597	50174
50	7816023.33333333	16697.6261314069	49529
51	7873705.33333333	20068.5240401858	59876
52	7936633.25	19042.3196501658	57073
53	7991024.58333333	13467.9428371653	40455
54	8028169.5	8987.85148256953	26846
55	8052095.91666667	5908.18471518857	16519
56	8069624.83333333	4023.40005091427	10531
57	8079866.41666667	3542.44151702116	9218
58	8097519.5	7530.24428554612	21378
59	8129676.33333333	13806.9372506152	40728
60	8175707.83333333	15023.3265280928	43622
61	8220654.66666667	13295.0081769152	39080
62	8261413.5	13009.7621493177	38854
63	8292978.16666667	8998.05003960033	25227
64	8318088.16666667	9595.79565921103	27146
65	8351282.33333333	12521.5537398761	38035
66	8389253.25	13912.4665620769	41779

Regression: S.E.(k) = alpha + beta * Mean(k)
alpha	44235.3254095288
beta	-0.0040317091186679
S.D.	0.000566547615489825
T-STAT	-7.11627585826511
p-value	1.16263471333498e-09

\begin{tabular}{lllllllll}
\hline
Regression: S.E.(k) = alpha + beta * Mean(k) \tabularnewline
alpha & 44235.3254095288 \tabularnewline
beta & -0.0040317091186679 \tabularnewline
S.D. & 0.000566547615489825 \tabularnewline
T-STAT & -7.11627585826511 \tabularnewline
p-value & 1.16263471333498e-09 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&T=2

[TABLE]
[ROW][C]Regression: S.E.(k) = alpha + beta * Mean(k)[/C][/ROW]
[ROW][C]alpha[/C][C]44235.3254095288[/C][/ROW]
[ROW][C]beta[/C][C]-0.0040317091186679[/C][/ROW]
[ROW][C]S.D.[/C][C]0.000566547615489825[/C][/ROW]
[ROW][C]T-STAT[/C][C]-7.11627585826511[/C][/ROW]
[ROW][C]p-value[/C][C]1.16263471333498e-09[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=2

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

As an alternative you can also use a QR Code:

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

Regression: S.E.(k) = alpha + beta * Mean(k)
alpha	44235.3254095288
beta	-0.0040317091186679
S.D.	0.000566547615489825
T-STAT	-7.11627585826511
p-value	1.16263471333498e-09

Regression: ln S.E.(k) = alpha + beta * ln Mean(k)
alpha	37.8206199428279
beta	-1.79179238533837
S.D.	0.296447400205936
T-STAT	-6.04421689680411
p-value	8.51223211924484e-08
Lambda	2.79179238533837

\begin{tabular}{lllllllll}
\hline
Regression: ln S.E.(k) = alpha + beta * ln Mean(k) \tabularnewline
alpha & 37.8206199428279 \tabularnewline
beta & -1.79179238533837 \tabularnewline
S.D. & 0.296447400205936 \tabularnewline
T-STAT & -6.04421689680411 \tabularnewline
p-value & 8.51223211924484e-08 \tabularnewline
Lambda & 2.79179238533837 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&T=3

[TABLE]
[ROW][C]Regression: ln S.E.(k) = alpha + beta * ln Mean(k)[/C][/ROW]
[ROW][C]alpha[/C][C]37.8206199428279[/C][/ROW]
[ROW][C]beta[/C][C]-1.79179238533837[/C][/ROW]
[ROW][C]S.D.[/C][C]0.296447400205936[/C][/ROW]
[ROW][C]T-STAT[/C][C]-6.04421689680411[/C][/ROW]
[ROW][C]p-value[/C][C]8.51223211924484e-08[/C][/ROW]
[ROW][C]Lambda[/C][C]2.79179238533837[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=3

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

As an alternative you can also use a QR Code:

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

Regression: ln S.E.(k) = alpha + beta * ln Mean(k)
alpha	37.8206199428279
beta	-1.79179238533837
S.D.	0.296447400205936
T-STAT	-6.04421689680411
p-value	8.51223211924484e-08
Lambda	2.79179238533837

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 12 ;

Parameters (R input):

par1 = 12 ;

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

par1 <- as.numeric(par1)
(n <- length(x))
(np <- floor(n / par1))
arr <- array(NA,dim=c(par1,np))
j <- 0
k <- 1
for (i in 1:(np*par1))
{
j = j + 1
arr[j,k] <- x[i]
if (j == par1) {
j = 0
k=k+1
}
}
arr
arr.mean <- array(NA,dim=np)
arr.sd <- array(NA,dim=np)
arr.range <- array(NA,dim=np)
for (j in 1:np)
{
arr.mean[j] <- mean(arr[,j],na.rm=TRUE)
arr.sd[j] <- sd(arr[,j],na.rm=TRUE)
arr.range[j] <- max(arr[,j],na.rm=TRUE) - min(arr[,j],na.rm=TRUE)
}
arr.mean
arr.sd
arr.range
(lm1 <- lm(arr.sd~arr.mean))
(lnlm1 <- lm(log(arr.sd)~log(arr.mean)))
(lm2 <- lm(arr.range~arr.mean))
bitmap(file='test1.png')
plot(arr.mean,arr.sd,main='Standard Deviation-Mean Plot',xlab='mean',ylab='standard deviation')
dev.off()
bitmap(file='test2.png')
plot(arr.mean,arr.range,main='Range-Mean Plot',xlab='mean',ylab='range')
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Standard Deviation-Mean Plot',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Section',header=TRUE)
a<-table.element(a,'Mean',header=TRUE)
a<-table.element(a,'Standard Deviation',header=TRUE)
a<-table.element(a,'Range',header=TRUE)
a<-table.row.end(a)
for (j in 1:np) {
a<-table.row.start(a)
a<-table.element(a,j,header=TRUE)
a<-table.element(a,arr.mean[j])
a<-table.element(a,arr.sd[j] )
a<-table.element(a,arr.range[j] )
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,'Regression: S.E.(k) = alpha + beta * Mean(k)',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'alpha',header=TRUE)
a<-table.element(a,lm1$coefficients[[1]])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'beta',header=TRUE)
a<-table.element(a,lm1$coefficients[[2]])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'S.D.',header=TRUE)
a<-table.element(a,summary(lm1)$coefficients[2,2])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,summary(lm1)$coefficients[2,3])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'p-value',header=TRUE)
a<-table.element(a,summary(lm1)$coefficients[2,4])
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable1.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Regression: ln S.E.(k) = alpha + beta * ln Mean(k)',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'alpha',header=TRUE)
a<-table.element(a,lnlm1$coefficients[[1]])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'beta',header=TRUE)
a<-table.element(a,lnlm1$coefficients[[2]])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'S.D.',header=TRUE)
a<-table.element(a,summary(lnlm1)$coefficients[2,2])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,summary(lnlm1)$coefficients[2,3])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'p-value',header=TRUE)
a<-table.element(a,summary(lnlm1)$coefficients[2,4])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Lambda',header=TRUE)
a<-table.element(a,1-lnlm1$coefficients[[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