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Author's title
Author*The author of this computation has been verified*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationTue, 24 Nov 2009 03:25:36 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Nov/24/t1259058391x0xhtr2ql3x7vty.htm/, Retrieved Thu, 30 May 2024 16:41:27 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=58981, Retrieved Thu, 30 May 2024 16:41:27 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact191
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [ws4] [2009-11-24 10:25:36] [94ba0ef70f5b330d175ff4daa1c9cd40] [Current]
-   P     [(Partial) Autocorrelation Function] [ws4] [2009-11-24 11:08:53] [ca30429b07824e7c5d48293114d35d71]
-   P     [(Partial) Autocorrelation Function] [ws4] [2009-11-24 11:12:49] [ca30429b07824e7c5d48293114d35d71]
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Dataseries X:
395.3
395.1
403.5
403.3
405.7
406.7
407.2
412.4
415.9
414
411.8
409.9
412.4
415.9
416.3
417.2
421.8
421.4
415.1
412.4
411.8
408.8
404.5
402.5
409.4
410.7
413.4
415.2
417.7
417.8
417.9
418.4
418.2
416.6
418.9
421
423.5
432.3
432.3
428.6
426.7
427.3
428.5
437
442
444.9
441.4
440.3
447.1
455.3
478.6
486.5
487.8
485.9
483.8
488.4
494
493.6
487.3
482.1
484.2
496.8
501.1
499.8
495.5
498.1
503.8
516.2
526.1
527.1
525.1
528.9
540.1
549
556
568.9
589.1
590.3
603.3
638.8
643
656.7
656.1
654.1
659.9
662.1
669.2
673.1
678.3
677.4
678.5
672.4
665.3
667.9
672.1
662.5
682.3
692.1
702.7
721.4
733.2
747.7
737.6
729.3
706.1
674.3
659
645.7

 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' @ 72.249.127.135

\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' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=58981&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' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=58981&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=58981&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' @ 72.249.127.135

 Autocorrelation Function Time lag k ACF(k) T-STAT P-value 1 0.511455 5.2905 0 2 0.324057 3.3521 0.000555 3 0.163856 1.6949 0.046498 4 -0.056721 -0.5867 0.279312 5 -0.017145 -0.1774 0.429784 6 -0.092105 -0.9527 0.171434 7 -0.056982 -0.5894 0.278408 8 -0.147196 -1.5226 0.065404 9 -0.143409 -1.4834 0.070449 10 -0.026076 -0.2697 0.393943 11 0.072977 0.7549 0.225989 12 0.14349 1.4843 0.070339 13 0.091955 0.9512 0.171825 14 0.014726 0.1523 0.43961 15 0.00963 0.0996 0.46042 16 -0.097288 -1.0064 0.158258 17 0.060612 0.627 0.266006 18 0.106282 1.0994 0.137033 19 -0.000603 -0.0062 0.497517 20 0.066416 0.687 0.24678 21 0.011132 0.1151 0.454271 22 0.071717 0.7418 0.229903 23 0.014777 0.1529 0.4394 24 0.020353 0.2105 0.416827 25 -0.042642 -0.4411 0.330017 26 -0.172278 -1.7821 0.038788 27 -0.168199 -1.7399 0.042379 28 -0.124535 -1.2882 0.100228 29 -0.048278 -0.4994 0.309264 30 -0.083202 -0.8606 0.195679 31 -0.049528 -0.5123 0.304741 32 -0.093667 -0.9689 0.167389 33 -0.080361 -0.8313 0.203839 34 -0.051137 -0.529 0.298961 35 0.002004 0.0207 0.491752 36 0.014311 0.148 0.441299 37 -0.050926 -0.5268 0.299718 38 -0.057773 -0.5976 0.275682 39 -0.096429 -0.9975 0.160394 40 -0.084934 -0.8786 0.190804 41 -0.044184 -0.457 0.324283 42 -0.032533 -0.3365 0.368566 43 -0.036853 -0.3812 0.3519 44 -0.033785 -0.3495 0.363712 45 -0.031728 -0.3282 0.371702 46 0.027733 0.2869 0.387383 47 0.03992 0.4129 0.340241 48 0.078731 0.8144 0.208612 49 0.052326 0.5413 0.294724 50 0.019775 0.2046 0.419154 51 0.040519 0.4191 0.337982 52 -0.022382 -0.2315 0.408677 53 -0.041314 -0.4274 0.334991 54 -0.135878 -1.4055 0.08138 55 -0.147757 -1.5284 0.064681 56 -0.136453 -1.4115 0.080502 57 -0.137984 -1.4273 0.0782 58 -0.079284 -0.8201 0.206987 59 -0.01558 -0.1612 0.436137 60 -0.033772 -0.3493 0.36376

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.511455 & 5.2905 & 0 \tabularnewline
2 & 0.324057 & 3.3521 & 0.000555 \tabularnewline
3 & 0.163856 & 1.6949 & 0.046498 \tabularnewline
4 & -0.056721 & -0.5867 & 0.279312 \tabularnewline
5 & -0.017145 & -0.1774 & 0.429784 \tabularnewline
6 & -0.092105 & -0.9527 & 0.171434 \tabularnewline
7 & -0.056982 & -0.5894 & 0.278408 \tabularnewline
8 & -0.147196 & -1.5226 & 0.065404 \tabularnewline
9 & -0.143409 & -1.4834 & 0.070449 \tabularnewline
10 & -0.026076 & -0.2697 & 0.393943 \tabularnewline
11 & 0.072977 & 0.7549 & 0.225989 \tabularnewline
12 & 0.14349 & 1.4843 & 0.070339 \tabularnewline
13 & 0.091955 & 0.9512 & 0.171825 \tabularnewline
14 & 0.014726 & 0.1523 & 0.43961 \tabularnewline
15 & 0.00963 & 0.0996 & 0.46042 \tabularnewline
16 & -0.097288 & -1.0064 & 0.158258 \tabularnewline
17 & 0.060612 & 0.627 & 0.266006 \tabularnewline
18 & 0.106282 & 1.0994 & 0.137033 \tabularnewline
19 & -0.000603 & -0.0062 & 0.497517 \tabularnewline
20 & 0.066416 & 0.687 & 0.24678 \tabularnewline
21 & 0.011132 & 0.1151 & 0.454271 \tabularnewline
22 & 0.071717 & 0.7418 & 0.229903 \tabularnewline
23 & 0.014777 & 0.1529 & 0.4394 \tabularnewline
24 & 0.020353 & 0.2105 & 0.416827 \tabularnewline
25 & -0.042642 & -0.4411 & 0.330017 \tabularnewline
26 & -0.172278 & -1.7821 & 0.038788 \tabularnewline
27 & -0.168199 & -1.7399 & 0.042379 \tabularnewline
28 & -0.124535 & -1.2882 & 0.100228 \tabularnewline
29 & -0.048278 & -0.4994 & 0.309264 \tabularnewline
30 & -0.083202 & -0.8606 & 0.195679 \tabularnewline
31 & -0.049528 & -0.5123 & 0.304741 \tabularnewline
32 & -0.093667 & -0.9689 & 0.167389 \tabularnewline
33 & -0.080361 & -0.8313 & 0.203839 \tabularnewline
34 & -0.051137 & -0.529 & 0.298961 \tabularnewline
35 & 0.002004 & 0.0207 & 0.491752 \tabularnewline
36 & 0.014311 & 0.148 & 0.441299 \tabularnewline
37 & -0.050926 & -0.5268 & 0.299718 \tabularnewline
38 & -0.057773 & -0.5976 & 0.275682 \tabularnewline
39 & -0.096429 & -0.9975 & 0.160394 \tabularnewline
40 & -0.084934 & -0.8786 & 0.190804 \tabularnewline
41 & -0.044184 & -0.457 & 0.324283 \tabularnewline
42 & -0.032533 & -0.3365 & 0.368566 \tabularnewline
43 & -0.036853 & -0.3812 & 0.3519 \tabularnewline
44 & -0.033785 & -0.3495 & 0.363712 \tabularnewline
45 & -0.031728 & -0.3282 & 0.371702 \tabularnewline
46 & 0.027733 & 0.2869 & 0.387383 \tabularnewline
47 & 0.03992 & 0.4129 & 0.340241 \tabularnewline
48 & 0.078731 & 0.8144 & 0.208612 \tabularnewline
49 & 0.052326 & 0.5413 & 0.294724 \tabularnewline
50 & 0.019775 & 0.2046 & 0.419154 \tabularnewline
51 & 0.040519 & 0.4191 & 0.337982 \tabularnewline
52 & -0.022382 & -0.2315 & 0.408677 \tabularnewline
53 & -0.041314 & -0.4274 & 0.334991 \tabularnewline
54 & -0.135878 & -1.4055 & 0.08138 \tabularnewline
55 & -0.147757 & -1.5284 & 0.064681 \tabularnewline
56 & -0.136453 & -1.4115 & 0.080502 \tabularnewline
57 & -0.137984 & -1.4273 & 0.0782 \tabularnewline
58 & -0.079284 & -0.8201 & 0.206987 \tabularnewline
59 & -0.01558 & -0.1612 & 0.436137 \tabularnewline
60 & -0.033772 & -0.3493 & 0.36376 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=58981&T=1

[TABLE]
[ROW][C]Autocorrelation Function[/C][/ROW]
[ROW][C]Time lag k[/C][C]ACF(k)[/C][C]T-STAT[/C][C]P-value[/C][/ROW]
[ROW][C]1[/C][C]0.511455[/C][C]5.2905[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.324057[/C][C]3.3521[/C][C]0.000555[/C][/ROW]
[ROW][C]3[/C][C]0.163856[/C][C]1.6949[/C][C]0.046498[/C][/ROW]
[ROW][C]4[/C][C]-0.056721[/C][C]-0.5867[/C][C]0.279312[/C][/ROW]
[ROW][C]5[/C][C]-0.017145[/C][C]-0.1774[/C][C]0.429784[/C][/ROW]
[ROW][C]6[/C][C]-0.092105[/C][C]-0.9527[/C][C]0.171434[/C][/ROW]
[ROW][C]7[/C][C]-0.056982[/C][C]-0.5894[/C][C]0.278408[/C][/ROW]
[ROW][C]8[/C][C]-0.147196[/C][C]-1.5226[/C][C]0.065404[/C][/ROW]
[ROW][C]9[/C][C]-0.143409[/C][C]-1.4834[/C][C]0.070449[/C][/ROW]
[ROW][C]10[/C][C]-0.026076[/C][C]-0.2697[/C][C]0.393943[/C][/ROW]
[ROW][C]11[/C][C]0.072977[/C][C]0.7549[/C][C]0.225989[/C][/ROW]
[ROW][C]12[/C][C]0.14349[/C][C]1.4843[/C][C]0.070339[/C][/ROW]
[ROW][C]13[/C][C]0.091955[/C][C]0.9512[/C][C]0.171825[/C][/ROW]
[ROW][C]14[/C][C]0.014726[/C][C]0.1523[/C][C]0.43961[/C][/ROW]
[ROW][C]15[/C][C]0.00963[/C][C]0.0996[/C][C]0.46042[/C][/ROW]
[ROW][C]16[/C][C]-0.097288[/C][C]-1.0064[/C][C]0.158258[/C][/ROW]
[ROW][C]17[/C][C]0.060612[/C][C]0.627[/C][C]0.266006[/C][/ROW]
[ROW][C]18[/C][C]0.106282[/C][C]1.0994[/C][C]0.137033[/C][/ROW]
[ROW][C]19[/C][C]-0.000603[/C][C]-0.0062[/C][C]0.497517[/C][/ROW]
[ROW][C]20[/C][C]0.066416[/C][C]0.687[/C][C]0.24678[/C][/ROW]
[ROW][C]21[/C][C]0.011132[/C][C]0.1151[/C][C]0.454271[/C][/ROW]
[ROW][C]22[/C][C]0.071717[/C][C]0.7418[/C][C]0.229903[/C][/ROW]
[ROW][C]23[/C][C]0.014777[/C][C]0.1529[/C][C]0.4394[/C][/ROW]
[ROW][C]24[/C][C]0.020353[/C][C]0.2105[/C][C]0.416827[/C][/ROW]
[ROW][C]25[/C][C]-0.042642[/C][C]-0.4411[/C][C]0.330017[/C][/ROW]
[ROW][C]26[/C][C]-0.172278[/C][C]-1.7821[/C][C]0.038788[/C][/ROW]
[ROW][C]27[/C][C]-0.168199[/C][C]-1.7399[/C][C]0.042379[/C][/ROW]
[ROW][C]28[/C][C]-0.124535[/C][C]-1.2882[/C][C]0.100228[/C][/ROW]
[ROW][C]29[/C][C]-0.048278[/C][C]-0.4994[/C][C]0.309264[/C][/ROW]
[ROW][C]30[/C][C]-0.083202[/C][C]-0.8606[/C][C]0.195679[/C][/ROW]
[ROW][C]31[/C][C]-0.049528[/C][C]-0.5123[/C][C]0.304741[/C][/ROW]
[ROW][C]32[/C][C]-0.093667[/C][C]-0.9689[/C][C]0.167389[/C][/ROW]
[ROW][C]33[/C][C]-0.080361[/C][C]-0.8313[/C][C]0.203839[/C][/ROW]
[ROW][C]34[/C][C]-0.051137[/C][C]-0.529[/C][C]0.298961[/C][/ROW]
[ROW][C]35[/C][C]0.002004[/C][C]0.0207[/C][C]0.491752[/C][/ROW]
[ROW][C]36[/C][C]0.014311[/C][C]0.148[/C][C]0.441299[/C][/ROW]
[ROW][C]37[/C][C]-0.050926[/C][C]-0.5268[/C][C]0.299718[/C][/ROW]
[ROW][C]38[/C][C]-0.057773[/C][C]-0.5976[/C][C]0.275682[/C][/ROW]
[ROW][C]39[/C][C]-0.096429[/C][C]-0.9975[/C][C]0.160394[/C][/ROW]
[ROW][C]40[/C][C]-0.084934[/C][C]-0.8786[/C][C]0.190804[/C][/ROW]
[ROW][C]41[/C][C]-0.044184[/C][C]-0.457[/C][C]0.324283[/C][/ROW]
[ROW][C]42[/C][C]-0.032533[/C][C]-0.3365[/C][C]0.368566[/C][/ROW]
[ROW][C]43[/C][C]-0.036853[/C][C]-0.3812[/C][C]0.3519[/C][/ROW]
[ROW][C]44[/C][C]-0.033785[/C][C]-0.3495[/C][C]0.363712[/C][/ROW]
[ROW][C]45[/C][C]-0.031728[/C][C]-0.3282[/C][C]0.371702[/C][/ROW]
[ROW][C]46[/C][C]0.027733[/C][C]0.2869[/C][C]0.387383[/C][/ROW]
[ROW][C]47[/C][C]0.03992[/C][C]0.4129[/C][C]0.340241[/C][/ROW]
[ROW][C]48[/C][C]0.078731[/C][C]0.8144[/C][C]0.208612[/C][/ROW]
[ROW][C]49[/C][C]0.052326[/C][C]0.5413[/C][C]0.294724[/C][/ROW]
[ROW][C]50[/C][C]0.019775[/C][C]0.2046[/C][C]0.419154[/C][/ROW]
[ROW][C]51[/C][C]0.040519[/C][C]0.4191[/C][C]0.337982[/C][/ROW]
[ROW][C]52[/C][C]-0.022382[/C][C]-0.2315[/C][C]0.408677[/C][/ROW]
[ROW][C]53[/C][C]-0.041314[/C][C]-0.4274[/C][C]0.334991[/C][/ROW]
[ROW][C]54[/C][C]-0.135878[/C][C]-1.4055[/C][C]0.08138[/C][/ROW]
[ROW][C]55[/C][C]-0.147757[/C][C]-1.5284[/C][C]0.064681[/C][/ROW]
[ROW][C]56[/C][C]-0.136453[/C][C]-1.4115[/C][C]0.080502[/C][/ROW]
[ROW][C]57[/C][C]-0.137984[/C][C]-1.4273[/C][C]0.0782[/C][/ROW]
[ROW][C]58[/C][C]-0.079284[/C][C]-0.8201[/C][C]0.206987[/C][/ROW]
[ROW][C]59[/C][C]-0.01558[/C][C]-0.1612[/C][C]0.436137[/C][/ROW]
[ROW][C]60[/C][C]-0.033772[/C][C]-0.3493[/C][C]0.36376[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=58981&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=58981&T=1

As an alternative you can also use a QR Code:

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

 Autocorrelation Function Time lag k ACF(k) T-STAT P-value 1 0.511455 5.2905 0 2 0.324057 3.3521 0.000555 3 0.163856 1.6949 0.046498 4 -0.056721 -0.5867 0.279312 5 -0.017145 -0.1774 0.429784 6 -0.092105 -0.9527 0.171434 7 -0.056982 -0.5894 0.278408 8 -0.147196 -1.5226 0.065404 9 -0.143409 -1.4834 0.070449 10 -0.026076 -0.2697 0.393943 11 0.072977 0.7549 0.225989 12 0.14349 1.4843 0.070339 13 0.091955 0.9512 0.171825 14 0.014726 0.1523 0.43961 15 0.00963 0.0996 0.46042 16 -0.097288 -1.0064 0.158258 17 0.060612 0.627 0.266006 18 0.106282 1.0994 0.137033 19 -0.000603 -0.0062 0.497517 20 0.066416 0.687 0.24678 21 0.011132 0.1151 0.454271 22 0.071717 0.7418 0.229903 23 0.014777 0.1529 0.4394 24 0.020353 0.2105 0.416827 25 -0.042642 -0.4411 0.330017 26 -0.172278 -1.7821 0.038788 27 -0.168199 -1.7399 0.042379 28 -0.124535 -1.2882 0.100228 29 -0.048278 -0.4994 0.309264 30 -0.083202 -0.8606 0.195679 31 -0.049528 -0.5123 0.304741 32 -0.093667 -0.9689 0.167389 33 -0.080361 -0.8313 0.203839 34 -0.051137 -0.529 0.298961 35 0.002004 0.0207 0.491752 36 0.014311 0.148 0.441299 37 -0.050926 -0.5268 0.299718 38 -0.057773 -0.5976 0.275682 39 -0.096429 -0.9975 0.160394 40 -0.084934 -0.8786 0.190804 41 -0.044184 -0.457 0.324283 42 -0.032533 -0.3365 0.368566 43 -0.036853 -0.3812 0.3519 44 -0.033785 -0.3495 0.363712 45 -0.031728 -0.3282 0.371702 46 0.027733 0.2869 0.387383 47 0.03992 0.4129 0.340241 48 0.078731 0.8144 0.208612 49 0.052326 0.5413 0.294724 50 0.019775 0.2046 0.419154 51 0.040519 0.4191 0.337982 52 -0.022382 -0.2315 0.408677 53 -0.041314 -0.4274 0.334991 54 -0.135878 -1.4055 0.08138 55 -0.147757 -1.5284 0.064681 56 -0.136453 -1.4115 0.080502 57 -0.137984 -1.4273 0.0782 58 -0.079284 -0.8201 0.206987 59 -0.01558 -0.1612 0.436137 60 -0.033772 -0.3493 0.36376

 Partial Autocorrelation Function Time lag k PACF(k) T-STAT P-value 1 0.511455 5.2905 0 2 0.084602 0.8751 0.191733 3 -0.042465 -0.4393 0.330677 4 -0.19973 -2.066 0.020621 5 0.105282 1.089 0.13929 6 -0.081511 -0.8432 0.20051 7 0.038231 0.3955 0.346642 8 -0.193197 -1.9984 0.024103 9 0.022015 0.2277 0.410145 10 0.099979 1.0342 0.151689 11 0.160088 1.656 0.05033 12 -0.013901 -0.1438 0.442966 13 -0.077516 -0.8018 0.212215 14 -0.092011 -0.9518 0.17168 15 0.095593 0.9888 0.162491 16 -0.130076 -1.3455 0.090652 17 0.222757 2.3042 0.011571 18 0.009612 0.0994 0.460492 19 -0.078403 -0.811 0.209581 20 0.047384 0.4901 0.312517 21 0.061206 0.6331 0.264004 22 0.036866 0.3813 0.351851 23 -0.1307 -1.352 0.089617 24 0.00352 0.0364 0.485512 25 -0.084581 -0.8749 0.191792 26 -0.031177 -0.3225 0.373854 27 -0.056488 -0.5843 0.280118 28 0.081648 0.8446 0.200117 29 -0.034597 -0.3579 0.360572 30 -0.11563 -1.1961 0.117153 31 0.019074 0.1973 0.421983 32 -0.119299 -1.234 0.109947 33 0.047349 0.4898 0.312646 34 -0.046268 -0.4786 0.316601 35 -0.009164 -0.0948 0.46233 36 -0.000827 -0.0086 0.496597 37 -0.024896 -0.2575 0.398634 38 -0.007248 -0.075 0.470188 39 -0.098114 -1.0149 0.156222 40 -0.034149 -0.3532 0.362301 41 0.033157 0.343 0.366145 42 -0.050545 -0.5228 0.301084 43 0.023284 0.2409 0.405064 44 0.034217 0.3539 0.362041 45 0.023293 0.2409 0.405029 46 -0.032161 -0.3327 0.370016 47 0.066427 0.6871 0.246745 48 0.045595 0.4716 0.319074 49 -0.039157 -0.405 0.343128 50 0.03401 0.3518 0.362838 51 0.022681 0.2346 0.407477 52 -0.013723 -0.142 0.443692 53 -0.148893 -1.5402 0.063236 54 -0.063205 -0.6538 0.257322 55 -0.013996 -0.1448 0.442579 56 -0.017757 -0.1837 0.427305 57 -0.030366 -0.3141 0.377026 58 -0.083732 -0.8661 0.194179 59 0.072199 0.7468 0.228403 60 -0.115575 -1.1955 0.117264

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.511455 & 5.2905 & 0 \tabularnewline
2 & 0.084602 & 0.8751 & 0.191733 \tabularnewline
3 & -0.042465 & -0.4393 & 0.330677 \tabularnewline
4 & -0.19973 & -2.066 & 0.020621 \tabularnewline
5 & 0.105282 & 1.089 & 0.13929 \tabularnewline
6 & -0.081511 & -0.8432 & 0.20051 \tabularnewline
7 & 0.038231 & 0.3955 & 0.346642 \tabularnewline
8 & -0.193197 & -1.9984 & 0.024103 \tabularnewline
9 & 0.022015 & 0.2277 & 0.410145 \tabularnewline
10 & 0.099979 & 1.0342 & 0.151689 \tabularnewline
11 & 0.160088 & 1.656 & 0.05033 \tabularnewline
12 & -0.013901 & -0.1438 & 0.442966 \tabularnewline
13 & -0.077516 & -0.8018 & 0.212215 \tabularnewline
14 & -0.092011 & -0.9518 & 0.17168 \tabularnewline
15 & 0.095593 & 0.9888 & 0.162491 \tabularnewline
16 & -0.130076 & -1.3455 & 0.090652 \tabularnewline
17 & 0.222757 & 2.3042 & 0.011571 \tabularnewline
18 & 0.009612 & 0.0994 & 0.460492 \tabularnewline
19 & -0.078403 & -0.811 & 0.209581 \tabularnewline
20 & 0.047384 & 0.4901 & 0.312517 \tabularnewline
21 & 0.061206 & 0.6331 & 0.264004 \tabularnewline
22 & 0.036866 & 0.3813 & 0.351851 \tabularnewline
23 & -0.1307 & -1.352 & 0.089617 \tabularnewline
24 & 0.00352 & 0.0364 & 0.485512 \tabularnewline
25 & -0.084581 & -0.8749 & 0.191792 \tabularnewline
26 & -0.031177 & -0.3225 & 0.373854 \tabularnewline
27 & -0.056488 & -0.5843 & 0.280118 \tabularnewline
28 & 0.081648 & 0.8446 & 0.200117 \tabularnewline
29 & -0.034597 & -0.3579 & 0.360572 \tabularnewline
30 & -0.11563 & -1.1961 & 0.117153 \tabularnewline
31 & 0.019074 & 0.1973 & 0.421983 \tabularnewline
32 & -0.119299 & -1.234 & 0.109947 \tabularnewline
33 & 0.047349 & 0.4898 & 0.312646 \tabularnewline
34 & -0.046268 & -0.4786 & 0.316601 \tabularnewline
35 & -0.009164 & -0.0948 & 0.46233 \tabularnewline
36 & -0.000827 & -0.0086 & 0.496597 \tabularnewline
37 & -0.024896 & -0.2575 & 0.398634 \tabularnewline
38 & -0.007248 & -0.075 & 0.470188 \tabularnewline
39 & -0.098114 & -1.0149 & 0.156222 \tabularnewline
40 & -0.034149 & -0.3532 & 0.362301 \tabularnewline
41 & 0.033157 & 0.343 & 0.366145 \tabularnewline
42 & -0.050545 & -0.5228 & 0.301084 \tabularnewline
43 & 0.023284 & 0.2409 & 0.405064 \tabularnewline
44 & 0.034217 & 0.3539 & 0.362041 \tabularnewline
45 & 0.023293 & 0.2409 & 0.405029 \tabularnewline
46 & -0.032161 & -0.3327 & 0.370016 \tabularnewline
47 & 0.066427 & 0.6871 & 0.246745 \tabularnewline
48 & 0.045595 & 0.4716 & 0.319074 \tabularnewline
49 & -0.039157 & -0.405 & 0.343128 \tabularnewline
50 & 0.03401 & 0.3518 & 0.362838 \tabularnewline
51 & 0.022681 & 0.2346 & 0.407477 \tabularnewline
52 & -0.013723 & -0.142 & 0.443692 \tabularnewline
53 & -0.148893 & -1.5402 & 0.063236 \tabularnewline
54 & -0.063205 & -0.6538 & 0.257322 \tabularnewline
55 & -0.013996 & -0.1448 & 0.442579 \tabularnewline
56 & -0.017757 & -0.1837 & 0.427305 \tabularnewline
57 & -0.030366 & -0.3141 & 0.377026 \tabularnewline
58 & -0.083732 & -0.8661 & 0.194179 \tabularnewline
59 & 0.072199 & 0.7468 & 0.228403 \tabularnewline
60 & -0.115575 & -1.1955 & 0.117264 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=58981&T=2

[TABLE]
[ROW][C]Partial Autocorrelation Function[/C][/ROW]
[ROW][C]Time lag k[/C][C]PACF(k)[/C][C]T-STAT[/C][C]P-value[/C][/ROW]
[ROW][C]1[/C][C]0.511455[/C][C]5.2905[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.084602[/C][C]0.8751[/C][C]0.191733[/C][/ROW]
[ROW][C]3[/C][C]-0.042465[/C][C]-0.4393[/C][C]0.330677[/C][/ROW]
[ROW][C]4[/C][C]-0.19973[/C][C]-2.066[/C][C]0.020621[/C][/ROW]
[ROW][C]5[/C][C]0.105282[/C][C]1.089[/C][C]0.13929[/C][/ROW]
[ROW][C]6[/C][C]-0.081511[/C][C]-0.8432[/C][C]0.20051[/C][/ROW]
[ROW][C]7[/C][C]0.038231[/C][C]0.3955[/C][C]0.346642[/C][/ROW]
[ROW][C]8[/C][C]-0.193197[/C][C]-1.9984[/C][C]0.024103[/C][/ROW]
[ROW][C]9[/C][C]0.022015[/C][C]0.2277[/C][C]0.410145[/C][/ROW]
[ROW][C]10[/C][C]0.099979[/C][C]1.0342[/C][C]0.151689[/C][/ROW]
[ROW][C]11[/C][C]0.160088[/C][C]1.656[/C][C]0.05033[/C][/ROW]
[ROW][C]12[/C][C]-0.013901[/C][C]-0.1438[/C][C]0.442966[/C][/ROW]
[ROW][C]13[/C][C]-0.077516[/C][C]-0.8018[/C][C]0.212215[/C][/ROW]
[ROW][C]14[/C][C]-0.092011[/C][C]-0.9518[/C][C]0.17168[/C][/ROW]
[ROW][C]15[/C][C]0.095593[/C][C]0.9888[/C][C]0.162491[/C][/ROW]
[ROW][C]16[/C][C]-0.130076[/C][C]-1.3455[/C][C]0.090652[/C][/ROW]
[ROW][C]17[/C][C]0.222757[/C][C]2.3042[/C][C]0.011571[/C][/ROW]
[ROW][C]18[/C][C]0.009612[/C][C]0.0994[/C][C]0.460492[/C][/ROW]
[ROW][C]19[/C][C]-0.078403[/C][C]-0.811[/C][C]0.209581[/C][/ROW]
[ROW][C]20[/C][C]0.047384[/C][C]0.4901[/C][C]0.312517[/C][/ROW]
[ROW][C]21[/C][C]0.061206[/C][C]0.6331[/C][C]0.264004[/C][/ROW]
[ROW][C]22[/C][C]0.036866[/C][C]0.3813[/C][C]0.351851[/C][/ROW]
[ROW][C]23[/C][C]-0.1307[/C][C]-1.352[/C][C]0.089617[/C][/ROW]
[ROW][C]24[/C][C]0.00352[/C][C]0.0364[/C][C]0.485512[/C][/ROW]
[ROW][C]25[/C][C]-0.084581[/C][C]-0.8749[/C][C]0.191792[/C][/ROW]
[ROW][C]26[/C][C]-0.031177[/C][C]-0.3225[/C][C]0.373854[/C][/ROW]
[ROW][C]27[/C][C]-0.056488[/C][C]-0.5843[/C][C]0.280118[/C][/ROW]
[ROW][C]28[/C][C]0.081648[/C][C]0.8446[/C][C]0.200117[/C][/ROW]
[ROW][C]29[/C][C]-0.034597[/C][C]-0.3579[/C][C]0.360572[/C][/ROW]
[ROW][C]30[/C][C]-0.11563[/C][C]-1.1961[/C][C]0.117153[/C][/ROW]
[ROW][C]31[/C][C]0.019074[/C][C]0.1973[/C][C]0.421983[/C][/ROW]
[ROW][C]32[/C][C]-0.119299[/C][C]-1.234[/C][C]0.109947[/C][/ROW]
[ROW][C]33[/C][C]0.047349[/C][C]0.4898[/C][C]0.312646[/C][/ROW]
[ROW][C]34[/C][C]-0.046268[/C][C]-0.4786[/C][C]0.316601[/C][/ROW]
[ROW][C]35[/C][C]-0.009164[/C][C]-0.0948[/C][C]0.46233[/C][/ROW]
[ROW][C]36[/C][C]-0.000827[/C][C]-0.0086[/C][C]0.496597[/C][/ROW]
[ROW][C]37[/C][C]-0.024896[/C][C]-0.2575[/C][C]0.398634[/C][/ROW]
[ROW][C]38[/C][C]-0.007248[/C][C]-0.075[/C][C]0.470188[/C][/ROW]
[ROW][C]39[/C][C]-0.098114[/C][C]-1.0149[/C][C]0.156222[/C][/ROW]
[ROW][C]40[/C][C]-0.034149[/C][C]-0.3532[/C][C]0.362301[/C][/ROW]
[ROW][C]41[/C][C]0.033157[/C][C]0.343[/C][C]0.366145[/C][/ROW]
[ROW][C]42[/C][C]-0.050545[/C][C]-0.5228[/C][C]0.301084[/C][/ROW]
[ROW][C]43[/C][C]0.023284[/C][C]0.2409[/C][C]0.405064[/C][/ROW]
[ROW][C]44[/C][C]0.034217[/C][C]0.3539[/C][C]0.362041[/C][/ROW]
[ROW][C]45[/C][C]0.023293[/C][C]0.2409[/C][C]0.405029[/C][/ROW]
[ROW][C]46[/C][C]-0.032161[/C][C]-0.3327[/C][C]0.370016[/C][/ROW]
[ROW][C]47[/C][C]0.066427[/C][C]0.6871[/C][C]0.246745[/C][/ROW]
[ROW][C]48[/C][C]0.045595[/C][C]0.4716[/C][C]0.319074[/C][/ROW]
[ROW][C]49[/C][C]-0.039157[/C][C]-0.405[/C][C]0.343128[/C][/ROW]
[ROW][C]50[/C][C]0.03401[/C][C]0.3518[/C][C]0.362838[/C][/ROW]
[ROW][C]51[/C][C]0.022681[/C][C]0.2346[/C][C]0.407477[/C][/ROW]
[ROW][C]52[/C][C]-0.013723[/C][C]-0.142[/C][C]0.443692[/C][/ROW]
[ROW][C]53[/C][C]-0.148893[/C][C]-1.5402[/C][C]0.063236[/C][/ROW]
[ROW][C]54[/C][C]-0.063205[/C][C]-0.6538[/C][C]0.257322[/C][/ROW]
[ROW][C]55[/C][C]-0.013996[/C][C]-0.1448[/C][C]0.442579[/C][/ROW]
[ROW][C]56[/C][C]-0.017757[/C][C]-0.1837[/C][C]0.427305[/C][/ROW]
[ROW][C]57[/C][C]-0.030366[/C][C]-0.3141[/C][C]0.377026[/C][/ROW]
[ROW][C]58[/C][C]-0.083732[/C][C]-0.8661[/C][C]0.194179[/C][/ROW]
[ROW][C]59[/C][C]0.072199[/C][C]0.7468[/C][C]0.228403[/C][/ROW]
[ROW][C]60[/C][C]-0.115575[/C][C]-1.1955[/C][C]0.117264[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=58981&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=58981&T=2

As an alternative you can also use a QR Code:

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

 Partial Autocorrelation Function Time lag k PACF(k) T-STAT P-value 1 0.511455 5.2905 0 2 0.084602 0.8751 0.191733 3 -0.042465 -0.4393 0.330677 4 -0.19973 -2.066 0.020621 5 0.105282 1.089 0.13929 6 -0.081511 -0.8432 0.20051 7 0.038231 0.3955 0.346642 8 -0.193197 -1.9984 0.024103 9 0.022015 0.2277 0.410145 10 0.099979 1.0342 0.151689 11 0.160088 1.656 0.05033 12 -0.013901 -0.1438 0.442966 13 -0.077516 -0.8018 0.212215 14 -0.092011 -0.9518 0.17168 15 0.095593 0.9888 0.162491 16 -0.130076 -1.3455 0.090652 17 0.222757 2.3042 0.011571 18 0.009612 0.0994 0.460492 19 -0.078403 -0.811 0.209581 20 0.047384 0.4901 0.312517 21 0.061206 0.6331 0.264004 22 0.036866 0.3813 0.351851 23 -0.1307 -1.352 0.089617 24 0.00352 0.0364 0.485512 25 -0.084581 -0.8749 0.191792 26 -0.031177 -0.3225 0.373854 27 -0.056488 -0.5843 0.280118 28 0.081648 0.8446 0.200117 29 -0.034597 -0.3579 0.360572 30 -0.11563 -1.1961 0.117153 31 0.019074 0.1973 0.421983 32 -0.119299 -1.234 0.109947 33 0.047349 0.4898 0.312646 34 -0.046268 -0.4786 0.316601 35 -0.009164 -0.0948 0.46233 36 -0.000827 -0.0086 0.496597 37 -0.024896 -0.2575 0.398634 38 -0.007248 -0.075 0.470188 39 -0.098114 -1.0149 0.156222 40 -0.034149 -0.3532 0.362301 41 0.033157 0.343 0.366145 42 -0.050545 -0.5228 0.301084 43 0.023284 0.2409 0.405064 44 0.034217 0.3539 0.362041 45 0.023293 0.2409 0.405029 46 -0.032161 -0.3327 0.370016 47 0.066427 0.6871 0.246745 48 0.045595 0.4716 0.319074 49 -0.039157 -0.405 0.343128 50 0.03401 0.3518 0.362838 51 0.022681 0.2346 0.407477 52 -0.013723 -0.142 0.443692 53 -0.148893 -1.5402 0.063236 54 -0.063205 -0.6538 0.257322 55 -0.013996 -0.1448 0.442579 56 -0.017757 -0.1837 0.427305 57 -0.030366 -0.3141 0.377026 58 -0.083732 -0.8661 0.194179 59 0.072199 0.7468 0.228403 60 -0.115575 -1.1955 0.117264

if (par1 == 'Default') {par1 = 10*log10(length(x))} else {par1 <- as.numeric(par1)}par2 <- as.numeric(par2)par3 <- as.numeric(par3)par4 <- as.numeric(par4)par5 <- as.numeric(par5)if (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'par7 <- as.numeric(par7)if (par2 == 0) {x <- log(x)} else {x <- (x ^ par2 - 1) / par2}if (par3 > 0) x <- diff(x,lag=1,difference=par3)if (par4 > 0) x <- diff(x,lag=par5,difference=par4)bitmap(file='pic1.png')racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep=''))dev.off()bitmap(file='pic2.png')rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')dev.off()(myacf <- c(racf$acf))(mypacf <- c(rpacf$acf))lengthx <- length(x)sqrtn <- sqrt(lengthx)load(file='createtable')a<-table.start()a<-table.row.start(a)a<-table.element(a,'Autocorrelation Function',4,TRUE)a<-table.row.end(a)a<-table.row.start(a)a<-table.element(a,'Time lag k',header=TRUE)a<-table.element(a,hyperlink('basics.htm','ACF(k)','click here for more information about the Autocorrelation Function'),header=TRUE)a<-table.element(a,'T-STAT',header=TRUE)a<-table.element(a,'P-value',header=TRUE)a<-table.row.end(a)for (i in 2:(par1+1)) {a<-table.row.start(a)a<-table.element(a,i-1,header=TRUE)a<-table.element(a,round(myacf[i],6))mytstat <- myacf[i]*sqrtna<-table.element(a,round(mytstat,4))a<-table.element(a,round(1-pt(abs(mytstat),lengthx),6))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,'Partial Autocorrelation Function',4,TRUE)a<-table.row.end(a)a<-table.row.start(a)a<-table.element(a,'Time lag k',header=TRUE)a<-table.element(a,hyperlink('basics.htm','PACF(k)','click here for more information about the Partial Autocorrelation Function'),header=TRUE)a<-table.element(a,'T-STAT',header=TRUE)a<-table.element(a,'P-value',header=TRUE)a<-table.row.end(a)for (i in 1:par1) {a<-table.row.start(a)a<-table.element(a,i,header=TRUE)a<-table.element(a,round(mypacf[i],6))mytstat <- mypacf[i]*sqrtna<-table.element(a,round(mytstat,4))a<-table.element(a,round(1-pt(abs(mytstat),lengthx),6))a<-table.row.end(a)}a<-table.end(a)table.save(a,file='mytable1.tab')