## Free Statistics

of Irreproducible Research!

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 04:12:49 -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/t1259061274y2rnj8ym49gb7zs.htm/, Retrieved Fri, 14 Jun 2024 18:12:48 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=58992, Retrieved Fri, 14 Jun 2024 18:12:48 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact214
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] [ca30429b07824e7c5d48293114d35d71]
-   P     [(Partial) Autocorrelation Function] [ws4] [2009-11-24 11:12:49] [94ba0ef70f5b330d175ff4daa1c9cd40] [Current]
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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=58992&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=58992&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=58992&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 -0.396681 -3.846 0.000109 2 -0.039667 -0.3846 0.350707 3 0.054195 0.5254 0.300258 4 -0.031524 -0.3056 0.380278 5 -0.012404 -0.1203 0.452265 6 -0.157049 -1.5226 0.065602 7 0.20201 1.9586 0.026564 8 -0.067427 -0.6537 0.257443 9 -0.093056 -0.9022 0.184625 10 -0.049325 -0.4782 0.316801 11 0.286735 2.78 0.003283 12 -0.389721 -3.7785 0.000138 13 0.113391 1.0994 0.137208 14 0.090013 0.8727 0.192523 15 0.101976 0.9887 0.162675 16 -0.194972 -1.8903 0.030897 17 -0.017026 -0.1651 0.434621 18 0.239969 2.3266 0.011068 19 -0.266483 -2.5837 0.005658 20 0.13954 1.3529 0.089668 21 -0.043033 -0.4172 0.338735 22 0.124909 1.211 0.114459 23 -0.11474 -1.1124 0.134393 24 -0.016316 -0.1582 0.437325 25 0.089159 0.8644 0.194776 26 -0.045826 -0.4443 0.328924 27 -0.087943 -0.8526 0.198014 28 0.101681 0.9858 0.163372 29 0.097257 0.9429 0.174065 30 -0.234353 -2.2721 0.012679 31 0.181216 1.757 0.041091 32 -0.066541 -0.6451 0.260205 33 0.039889 0.3867 0.349913 34 -0.048737 -0.4725 0.318825 35 0.032157 0.3118 0.377951 36 0.016287 0.1579 0.437435 37 -0.060565 -0.5872 0.27924 38 0.051773 0.502 0.308435 39 -0.037182 -0.3605 0.359644 40 -0.010152 -0.0984 0.460901 41 -0.094522 -0.9164 0.180894 42 0.138982 1.3475 0.090533 43 -0.080722 -0.7826 0.217907 44 0.069481 0.6736 0.251096 45 -0.008009 -0.0776 0.469138 46 0.045517 0.4413 0.330005 47 -0.072829 -0.7061 0.240936 48 -0.01381 -0.1339 0.446887 49 0.078656 0.7626 0.223808 50 -0.074849 -0.7257 0.234917 51 0.072338 0.7013 0.242411 52 0.001928 0.0187 0.492562 53 0.038697 0.3752 0.354187 54 -0.12918 -1.2524 0.106757 55 0.049874 0.4835 0.314916 56 -0.002344 -0.0227 0.490959 57 -0.024415 -0.2367 0.406697 58 -0.016619 -0.1611 0.43617 59 0.087867 0.8519 0.198217 60 -0.004258 -0.0413 0.483578

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.396681 & -3.846 & 0.000109 \tabularnewline
2 & -0.039667 & -0.3846 & 0.350707 \tabularnewline
3 & 0.054195 & 0.5254 & 0.300258 \tabularnewline
4 & -0.031524 & -0.3056 & 0.380278 \tabularnewline
5 & -0.012404 & -0.1203 & 0.452265 \tabularnewline
6 & -0.157049 & -1.5226 & 0.065602 \tabularnewline
7 & 0.20201 & 1.9586 & 0.026564 \tabularnewline
8 & -0.067427 & -0.6537 & 0.257443 \tabularnewline
9 & -0.093056 & -0.9022 & 0.184625 \tabularnewline
10 & -0.049325 & -0.4782 & 0.316801 \tabularnewline
11 & 0.286735 & 2.78 & 0.003283 \tabularnewline
12 & -0.389721 & -3.7785 & 0.000138 \tabularnewline
13 & 0.113391 & 1.0994 & 0.137208 \tabularnewline
14 & 0.090013 & 0.8727 & 0.192523 \tabularnewline
15 & 0.101976 & 0.9887 & 0.162675 \tabularnewline
16 & -0.194972 & -1.8903 & 0.030897 \tabularnewline
17 & -0.017026 & -0.1651 & 0.434621 \tabularnewline
18 & 0.239969 & 2.3266 & 0.011068 \tabularnewline
19 & -0.266483 & -2.5837 & 0.005658 \tabularnewline
20 & 0.13954 & 1.3529 & 0.089668 \tabularnewline
21 & -0.043033 & -0.4172 & 0.338735 \tabularnewline
22 & 0.124909 & 1.211 & 0.114459 \tabularnewline
23 & -0.11474 & -1.1124 & 0.134393 \tabularnewline
24 & -0.016316 & -0.1582 & 0.437325 \tabularnewline
25 & 0.089159 & 0.8644 & 0.194776 \tabularnewline
26 & -0.045826 & -0.4443 & 0.328924 \tabularnewline
27 & -0.087943 & -0.8526 & 0.198014 \tabularnewline
28 & 0.101681 & 0.9858 & 0.163372 \tabularnewline
29 & 0.097257 & 0.9429 & 0.174065 \tabularnewline
30 & -0.234353 & -2.2721 & 0.012679 \tabularnewline
31 & 0.181216 & 1.757 & 0.041091 \tabularnewline
32 & -0.066541 & -0.6451 & 0.260205 \tabularnewline
33 & 0.039889 & 0.3867 & 0.349913 \tabularnewline
34 & -0.048737 & -0.4725 & 0.318825 \tabularnewline
35 & 0.032157 & 0.3118 & 0.377951 \tabularnewline
36 & 0.016287 & 0.1579 & 0.437435 \tabularnewline
37 & -0.060565 & -0.5872 & 0.27924 \tabularnewline
38 & 0.051773 & 0.502 & 0.308435 \tabularnewline
39 & -0.037182 & -0.3605 & 0.359644 \tabularnewline
40 & -0.010152 & -0.0984 & 0.460901 \tabularnewline
41 & -0.094522 & -0.9164 & 0.180894 \tabularnewline
42 & 0.138982 & 1.3475 & 0.090533 \tabularnewline
43 & -0.080722 & -0.7826 & 0.217907 \tabularnewline
44 & 0.069481 & 0.6736 & 0.251096 \tabularnewline
45 & -0.008009 & -0.0776 & 0.469138 \tabularnewline
46 & 0.045517 & 0.4413 & 0.330005 \tabularnewline
47 & -0.072829 & -0.7061 & 0.240936 \tabularnewline
48 & -0.01381 & -0.1339 & 0.446887 \tabularnewline
49 & 0.078656 & 0.7626 & 0.223808 \tabularnewline
50 & -0.074849 & -0.7257 & 0.234917 \tabularnewline
51 & 0.072338 & 0.7013 & 0.242411 \tabularnewline
52 & 0.001928 & 0.0187 & 0.492562 \tabularnewline
53 & 0.038697 & 0.3752 & 0.354187 \tabularnewline
54 & -0.12918 & -1.2524 & 0.106757 \tabularnewline
55 & 0.049874 & 0.4835 & 0.314916 \tabularnewline
56 & -0.002344 & -0.0227 & 0.490959 \tabularnewline
57 & -0.024415 & -0.2367 & 0.406697 \tabularnewline
58 & -0.016619 & -0.1611 & 0.43617 \tabularnewline
59 & 0.087867 & 0.8519 & 0.198217 \tabularnewline
60 & -0.004258 & -0.0413 & 0.483578 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=58992&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]-0.396681[/C][C]-3.846[/C][C]0.000109[/C][/ROW]
[ROW][C]2[/C][C]-0.039667[/C][C]-0.3846[/C][C]0.350707[/C][/ROW]
[ROW][C]3[/C][C]0.054195[/C][C]0.5254[/C][C]0.300258[/C][/ROW]
[ROW][C]4[/C][C]-0.031524[/C][C]-0.3056[/C][C]0.380278[/C][/ROW]
[ROW][C]5[/C][C]-0.012404[/C][C]-0.1203[/C][C]0.452265[/C][/ROW]
[ROW][C]6[/C][C]-0.157049[/C][C]-1.5226[/C][C]0.065602[/C][/ROW]
[ROW][C]7[/C][C]0.20201[/C][C]1.9586[/C][C]0.026564[/C][/ROW]
[ROW][C]8[/C][C]-0.067427[/C][C]-0.6537[/C][C]0.257443[/C][/ROW]
[ROW][C]9[/C][C]-0.093056[/C][C]-0.9022[/C][C]0.184625[/C][/ROW]
[ROW][C]10[/C][C]-0.049325[/C][C]-0.4782[/C][C]0.316801[/C][/ROW]
[ROW][C]11[/C][C]0.286735[/C][C]2.78[/C][C]0.003283[/C][/ROW]
[ROW][C]12[/C][C]-0.389721[/C][C]-3.7785[/C][C]0.000138[/C][/ROW]
[ROW][C]13[/C][C]0.113391[/C][C]1.0994[/C][C]0.137208[/C][/ROW]
[ROW][C]14[/C][C]0.090013[/C][C]0.8727[/C][C]0.192523[/C][/ROW]
[ROW][C]15[/C][C]0.101976[/C][C]0.9887[/C][C]0.162675[/C][/ROW]
[ROW][C]16[/C][C]-0.194972[/C][C]-1.8903[/C][C]0.030897[/C][/ROW]
[ROW][C]17[/C][C]-0.017026[/C][C]-0.1651[/C][C]0.434621[/C][/ROW]
[ROW][C]18[/C][C]0.239969[/C][C]2.3266[/C][C]0.011068[/C][/ROW]
[ROW][C]19[/C][C]-0.266483[/C][C]-2.5837[/C][C]0.005658[/C][/ROW]
[ROW][C]20[/C][C]0.13954[/C][C]1.3529[/C][C]0.089668[/C][/ROW]
[ROW][C]21[/C][C]-0.043033[/C][C]-0.4172[/C][C]0.338735[/C][/ROW]
[ROW][C]22[/C][C]0.124909[/C][C]1.211[/C][C]0.114459[/C][/ROW]
[ROW][C]23[/C][C]-0.11474[/C][C]-1.1124[/C][C]0.134393[/C][/ROW]
[ROW][C]24[/C][C]-0.016316[/C][C]-0.1582[/C][C]0.437325[/C][/ROW]
[ROW][C]25[/C][C]0.089159[/C][C]0.8644[/C][C]0.194776[/C][/ROW]
[ROW][C]26[/C][C]-0.045826[/C][C]-0.4443[/C][C]0.328924[/C][/ROW]
[ROW][C]27[/C][C]-0.087943[/C][C]-0.8526[/C][C]0.198014[/C][/ROW]
[ROW][C]28[/C][C]0.101681[/C][C]0.9858[/C][C]0.163372[/C][/ROW]
[ROW][C]29[/C][C]0.097257[/C][C]0.9429[/C][C]0.174065[/C][/ROW]
[ROW][C]30[/C][C]-0.234353[/C][C]-2.2721[/C][C]0.012679[/C][/ROW]
[ROW][C]31[/C][C]0.181216[/C][C]1.757[/C][C]0.041091[/C][/ROW]
[ROW][C]32[/C][C]-0.066541[/C][C]-0.6451[/C][C]0.260205[/C][/ROW]
[ROW][C]33[/C][C]0.039889[/C][C]0.3867[/C][C]0.349913[/C][/ROW]
[ROW][C]34[/C][C]-0.048737[/C][C]-0.4725[/C][C]0.318825[/C][/ROW]
[ROW][C]35[/C][C]0.032157[/C][C]0.3118[/C][C]0.377951[/C][/ROW]
[ROW][C]36[/C][C]0.016287[/C][C]0.1579[/C][C]0.437435[/C][/ROW]
[ROW][C]37[/C][C]-0.060565[/C][C]-0.5872[/C][C]0.27924[/C][/ROW]
[ROW][C]38[/C][C]0.051773[/C][C]0.502[/C][C]0.308435[/C][/ROW]
[ROW][C]39[/C][C]-0.037182[/C][C]-0.3605[/C][C]0.359644[/C][/ROW]
[ROW][C]40[/C][C]-0.010152[/C][C]-0.0984[/C][C]0.460901[/C][/ROW]
[ROW][C]41[/C][C]-0.094522[/C][C]-0.9164[/C][C]0.180894[/C][/ROW]
[ROW][C]42[/C][C]0.138982[/C][C]1.3475[/C][C]0.090533[/C][/ROW]
[ROW][C]43[/C][C]-0.080722[/C][C]-0.7826[/C][C]0.217907[/C][/ROW]
[ROW][C]44[/C][C]0.069481[/C][C]0.6736[/C][C]0.251096[/C][/ROW]
[ROW][C]45[/C][C]-0.008009[/C][C]-0.0776[/C][C]0.469138[/C][/ROW]
[ROW][C]46[/C][C]0.045517[/C][C]0.4413[/C][C]0.330005[/C][/ROW]
[ROW][C]47[/C][C]-0.072829[/C][C]-0.7061[/C][C]0.240936[/C][/ROW]
[ROW][C]48[/C][C]-0.01381[/C][C]-0.1339[/C][C]0.446887[/C][/ROW]
[ROW][C]49[/C][C]0.078656[/C][C]0.7626[/C][C]0.223808[/C][/ROW]
[ROW][C]50[/C][C]-0.074849[/C][C]-0.7257[/C][C]0.234917[/C][/ROW]
[ROW][C]51[/C][C]0.072338[/C][C]0.7013[/C][C]0.242411[/C][/ROW]
[ROW][C]52[/C][C]0.001928[/C][C]0.0187[/C][C]0.492562[/C][/ROW]
[ROW][C]53[/C][C]0.038697[/C][C]0.3752[/C][C]0.354187[/C][/ROW]
[ROW][C]54[/C][C]-0.12918[/C][C]-1.2524[/C][C]0.106757[/C][/ROW]
[ROW][C]55[/C][C]0.049874[/C][C]0.4835[/C][C]0.314916[/C][/ROW]
[ROW][C]56[/C][C]-0.002344[/C][C]-0.0227[/C][C]0.490959[/C][/ROW]
[ROW][C]57[/C][C]-0.024415[/C][C]-0.2367[/C][C]0.406697[/C][/ROW]
[ROW][C]58[/C][C]-0.016619[/C][C]-0.1611[/C][C]0.43617[/C][/ROW]
[ROW][C]59[/C][C]0.087867[/C][C]0.8519[/C][C]0.198217[/C][/ROW]
[ROW][C]60[/C][C]-0.004258[/C][C]-0.0413[/C][C]0.483578[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=58992&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=58992&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 -0.396681 -3.846 0.000109 2 -0.039667 -0.3846 0.350707 3 0.054195 0.5254 0.300258 4 -0.031524 -0.3056 0.380278 5 -0.012404 -0.1203 0.452265 6 -0.157049 -1.5226 0.065602 7 0.20201 1.9586 0.026564 8 -0.067427 -0.6537 0.257443 9 -0.093056 -0.9022 0.184625 10 -0.049325 -0.4782 0.316801 11 0.286735 2.78 0.003283 12 -0.389721 -3.7785 0.000138 13 0.113391 1.0994 0.137208 14 0.090013 0.8727 0.192523 15 0.101976 0.9887 0.162675 16 -0.194972 -1.8903 0.030897 17 -0.017026 -0.1651 0.434621 18 0.239969 2.3266 0.011068 19 -0.266483 -2.5837 0.005658 20 0.13954 1.3529 0.089668 21 -0.043033 -0.4172 0.338735 22 0.124909 1.211 0.114459 23 -0.11474 -1.1124 0.134393 24 -0.016316 -0.1582 0.437325 25 0.089159 0.8644 0.194776 26 -0.045826 -0.4443 0.328924 27 -0.087943 -0.8526 0.198014 28 0.101681 0.9858 0.163372 29 0.097257 0.9429 0.174065 30 -0.234353 -2.2721 0.012679 31 0.181216 1.757 0.041091 32 -0.066541 -0.6451 0.260205 33 0.039889 0.3867 0.349913 34 -0.048737 -0.4725 0.318825 35 0.032157 0.3118 0.377951 36 0.016287 0.1579 0.437435 37 -0.060565 -0.5872 0.27924 38 0.051773 0.502 0.308435 39 -0.037182 -0.3605 0.359644 40 -0.010152 -0.0984 0.460901 41 -0.094522 -0.9164 0.180894 42 0.138982 1.3475 0.090533 43 -0.080722 -0.7826 0.217907 44 0.069481 0.6736 0.251096 45 -0.008009 -0.0776 0.469138 46 0.045517 0.4413 0.330005 47 -0.072829 -0.7061 0.240936 48 -0.01381 -0.1339 0.446887 49 0.078656 0.7626 0.223808 50 -0.074849 -0.7257 0.234917 51 0.072338 0.7013 0.242411 52 0.001928 0.0187 0.492562 53 0.038697 0.3752 0.354187 54 -0.12918 -1.2524 0.106757 55 0.049874 0.4835 0.314916 56 -0.002344 -0.0227 0.490959 57 -0.024415 -0.2367 0.406697 58 -0.016619 -0.1611 0.43617 59 0.087867 0.8519 0.198217 60 -0.004258 -0.0413 0.483578

 Partial Autocorrelation Function Time lag k PACF(k) T-STAT P-value 1 -0.396681 -3.846 0.000109 2 -0.233815 -2.2669 0.012844 3 -0.072773 -0.7056 0.241103 4 -0.055067 -0.5339 0.297338 5 -0.049277 -0.4778 0.316964 6 -0.239896 -2.3259 0.011087 7 0.023374 0.2266 0.410605 8 -0.010045 -0.0974 0.461312 9 -0.11585 -1.1232 0.132105 10 -0.230292 -2.2328 0.013969 11 0.187069 1.8137 0.036457 12 -0.321316 -3.1153 0.001218 13 -0.138853 -1.3462 0.090733 14 -0.09238 -0.8957 0.186361 15 0.184727 1.791 0.038256 16 -0.222314 -2.1554 0.016842 17 -0.111995 -1.0858 0.140166 18 -0.035677 -0.3459 0.365094 19 -0.118386 -1.1478 0.126984 20 -0.028322 -0.2746 0.392116 21 -0.090677 -0.8791 0.190783 22 -0.083396 -0.8086 0.210408 23 0.079215 0.768 0.222202 24 -0.118072 -1.1448 0.127609 25 -0.126934 -1.2307 0.110759 26 -0.05305 -0.5143 0.304112 27 0.020596 0.1997 0.421079 28 -0.10536 -1.0215 0.154819 29 -0.009004 -0.0873 0.46531 30 -0.119703 -1.1606 0.124379 31 0.049641 0.4813 0.315716 32 -0.027325 -0.2649 0.395825 33 -0.059916 -0.5809 0.281347 34 0.017112 0.1659 0.434292 35 0.090293 0.8754 0.191788 36 -0.114627 -1.1113 0.134626 37 -0.014142 -0.1371 0.445617 38 0.060424 0.5858 0.279698 39 0.041314 0.4006 0.344829 40 -0.171233 -1.6602 0.050107 41 -0.05586 -0.5416 0.294692 42 -0.0398 -0.3859 0.35023 43 -0.051711 -0.5014 0.308647 44 0.004516 0.0438 0.482586 45 0.017193 0.1667 0.433986 46 0.027108 0.2628 0.396631 47 -0.021105 -0.2046 0.419156 48 -0.091188 -0.8841 0.18945 49 -0.088401 -0.8571 0.19679 50 0.073445 0.7121 0.23909 51 0.024507 0.2376 0.406352 52 -0.000574 -0.0056 0.497785 53 0.047857 0.464 0.321862 54 -0.00566 -0.0549 0.478176 55 -0.027638 -0.268 0.394659 56 -0.006417 -0.0622 0.47526 57 -0.061566 -0.5969 0.276003 58 0.020552 0.1993 0.421246 59 0.080572 0.7812 0.218332 60 -0.033119 -0.3211 0.374424

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.396681 & -3.846 & 0.000109 \tabularnewline
2 & -0.233815 & -2.2669 & 0.012844 \tabularnewline
3 & -0.072773 & -0.7056 & 0.241103 \tabularnewline
4 & -0.055067 & -0.5339 & 0.297338 \tabularnewline
5 & -0.049277 & -0.4778 & 0.316964 \tabularnewline
6 & -0.239896 & -2.3259 & 0.011087 \tabularnewline
7 & 0.023374 & 0.2266 & 0.410605 \tabularnewline
8 & -0.010045 & -0.0974 & 0.461312 \tabularnewline
9 & -0.11585 & -1.1232 & 0.132105 \tabularnewline
10 & -0.230292 & -2.2328 & 0.013969 \tabularnewline
11 & 0.187069 & 1.8137 & 0.036457 \tabularnewline
12 & -0.321316 & -3.1153 & 0.001218 \tabularnewline
13 & -0.138853 & -1.3462 & 0.090733 \tabularnewline
14 & -0.09238 & -0.8957 & 0.186361 \tabularnewline
15 & 0.184727 & 1.791 & 0.038256 \tabularnewline
16 & -0.222314 & -2.1554 & 0.016842 \tabularnewline
17 & -0.111995 & -1.0858 & 0.140166 \tabularnewline
18 & -0.035677 & -0.3459 & 0.365094 \tabularnewline
19 & -0.118386 & -1.1478 & 0.126984 \tabularnewline
20 & -0.028322 & -0.2746 & 0.392116 \tabularnewline
21 & -0.090677 & -0.8791 & 0.190783 \tabularnewline
22 & -0.083396 & -0.8086 & 0.210408 \tabularnewline
23 & 0.079215 & 0.768 & 0.222202 \tabularnewline
24 & -0.118072 & -1.1448 & 0.127609 \tabularnewline
25 & -0.126934 & -1.2307 & 0.110759 \tabularnewline
26 & -0.05305 & -0.5143 & 0.304112 \tabularnewline
27 & 0.020596 & 0.1997 & 0.421079 \tabularnewline
28 & -0.10536 & -1.0215 & 0.154819 \tabularnewline
29 & -0.009004 & -0.0873 & 0.46531 \tabularnewline
30 & -0.119703 & -1.1606 & 0.124379 \tabularnewline
31 & 0.049641 & 0.4813 & 0.315716 \tabularnewline
32 & -0.027325 & -0.2649 & 0.395825 \tabularnewline
33 & -0.059916 & -0.5809 & 0.281347 \tabularnewline
34 & 0.017112 & 0.1659 & 0.434292 \tabularnewline
35 & 0.090293 & 0.8754 & 0.191788 \tabularnewline
36 & -0.114627 & -1.1113 & 0.134626 \tabularnewline
37 & -0.014142 & -0.1371 & 0.445617 \tabularnewline
38 & 0.060424 & 0.5858 & 0.279698 \tabularnewline
39 & 0.041314 & 0.4006 & 0.344829 \tabularnewline
40 & -0.171233 & -1.6602 & 0.050107 \tabularnewline
41 & -0.05586 & -0.5416 & 0.294692 \tabularnewline
42 & -0.0398 & -0.3859 & 0.35023 \tabularnewline
43 & -0.051711 & -0.5014 & 0.308647 \tabularnewline
44 & 0.004516 & 0.0438 & 0.482586 \tabularnewline
45 & 0.017193 & 0.1667 & 0.433986 \tabularnewline
46 & 0.027108 & 0.2628 & 0.396631 \tabularnewline
47 & -0.021105 & -0.2046 & 0.419156 \tabularnewline
48 & -0.091188 & -0.8841 & 0.18945 \tabularnewline
49 & -0.088401 & -0.8571 & 0.19679 \tabularnewline
50 & 0.073445 & 0.7121 & 0.23909 \tabularnewline
51 & 0.024507 & 0.2376 & 0.406352 \tabularnewline
52 & -0.000574 & -0.0056 & 0.497785 \tabularnewline
53 & 0.047857 & 0.464 & 0.321862 \tabularnewline
54 & -0.00566 & -0.0549 & 0.478176 \tabularnewline
55 & -0.027638 & -0.268 & 0.394659 \tabularnewline
56 & -0.006417 & -0.0622 & 0.47526 \tabularnewline
57 & -0.061566 & -0.5969 & 0.276003 \tabularnewline
58 & 0.020552 & 0.1993 & 0.421246 \tabularnewline
59 & 0.080572 & 0.7812 & 0.218332 \tabularnewline
60 & -0.033119 & -0.3211 & 0.374424 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=58992&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]-0.396681[/C][C]-3.846[/C][C]0.000109[/C][/ROW]
[ROW][C]2[/C][C]-0.233815[/C][C]-2.2669[/C][C]0.012844[/C][/ROW]
[ROW][C]3[/C][C]-0.072773[/C][C]-0.7056[/C][C]0.241103[/C][/ROW]
[ROW][C]4[/C][C]-0.055067[/C][C]-0.5339[/C][C]0.297338[/C][/ROW]
[ROW][C]5[/C][C]-0.049277[/C][C]-0.4778[/C][C]0.316964[/C][/ROW]
[ROW][C]6[/C][C]-0.239896[/C][C]-2.3259[/C][C]0.011087[/C][/ROW]
[ROW][C]7[/C][C]0.023374[/C][C]0.2266[/C][C]0.410605[/C][/ROW]
[ROW][C]8[/C][C]-0.010045[/C][C]-0.0974[/C][C]0.461312[/C][/ROW]
[ROW][C]9[/C][C]-0.11585[/C][C]-1.1232[/C][C]0.132105[/C][/ROW]
[ROW][C]10[/C][C]-0.230292[/C][C]-2.2328[/C][C]0.013969[/C][/ROW]
[ROW][C]11[/C][C]0.187069[/C][C]1.8137[/C][C]0.036457[/C][/ROW]
[ROW][C]12[/C][C]-0.321316[/C][C]-3.1153[/C][C]0.001218[/C][/ROW]
[ROW][C]13[/C][C]-0.138853[/C][C]-1.3462[/C][C]0.090733[/C][/ROW]
[ROW][C]14[/C][C]-0.09238[/C][C]-0.8957[/C][C]0.186361[/C][/ROW]
[ROW][C]15[/C][C]0.184727[/C][C]1.791[/C][C]0.038256[/C][/ROW]
[ROW][C]16[/C][C]-0.222314[/C][C]-2.1554[/C][C]0.016842[/C][/ROW]
[ROW][C]17[/C][C]-0.111995[/C][C]-1.0858[/C][C]0.140166[/C][/ROW]
[ROW][C]18[/C][C]-0.035677[/C][C]-0.3459[/C][C]0.365094[/C][/ROW]
[ROW][C]19[/C][C]-0.118386[/C][C]-1.1478[/C][C]0.126984[/C][/ROW]
[ROW][C]20[/C][C]-0.028322[/C][C]-0.2746[/C][C]0.392116[/C][/ROW]
[ROW][C]21[/C][C]-0.090677[/C][C]-0.8791[/C][C]0.190783[/C][/ROW]
[ROW][C]22[/C][C]-0.083396[/C][C]-0.8086[/C][C]0.210408[/C][/ROW]
[ROW][C]23[/C][C]0.079215[/C][C]0.768[/C][C]0.222202[/C][/ROW]
[ROW][C]24[/C][C]-0.118072[/C][C]-1.1448[/C][C]0.127609[/C][/ROW]
[ROW][C]25[/C][C]-0.126934[/C][C]-1.2307[/C][C]0.110759[/C][/ROW]
[ROW][C]26[/C][C]-0.05305[/C][C]-0.5143[/C][C]0.304112[/C][/ROW]
[ROW][C]27[/C][C]0.020596[/C][C]0.1997[/C][C]0.421079[/C][/ROW]
[ROW][C]28[/C][C]-0.10536[/C][C]-1.0215[/C][C]0.154819[/C][/ROW]
[ROW][C]29[/C][C]-0.009004[/C][C]-0.0873[/C][C]0.46531[/C][/ROW]
[ROW][C]30[/C][C]-0.119703[/C][C]-1.1606[/C][C]0.124379[/C][/ROW]
[ROW][C]31[/C][C]0.049641[/C][C]0.4813[/C][C]0.315716[/C][/ROW]
[ROW][C]32[/C][C]-0.027325[/C][C]-0.2649[/C][C]0.395825[/C][/ROW]
[ROW][C]33[/C][C]-0.059916[/C][C]-0.5809[/C][C]0.281347[/C][/ROW]
[ROW][C]34[/C][C]0.017112[/C][C]0.1659[/C][C]0.434292[/C][/ROW]
[ROW][C]35[/C][C]0.090293[/C][C]0.8754[/C][C]0.191788[/C][/ROW]
[ROW][C]36[/C][C]-0.114627[/C][C]-1.1113[/C][C]0.134626[/C][/ROW]
[ROW][C]37[/C][C]-0.014142[/C][C]-0.1371[/C][C]0.445617[/C][/ROW]
[ROW][C]38[/C][C]0.060424[/C][C]0.5858[/C][C]0.279698[/C][/ROW]
[ROW][C]39[/C][C]0.041314[/C][C]0.4006[/C][C]0.344829[/C][/ROW]
[ROW][C]40[/C][C]-0.171233[/C][C]-1.6602[/C][C]0.050107[/C][/ROW]
[ROW][C]41[/C][C]-0.05586[/C][C]-0.5416[/C][C]0.294692[/C][/ROW]
[ROW][C]42[/C][C]-0.0398[/C][C]-0.3859[/C][C]0.35023[/C][/ROW]
[ROW][C]43[/C][C]-0.051711[/C][C]-0.5014[/C][C]0.308647[/C][/ROW]
[ROW][C]44[/C][C]0.004516[/C][C]0.0438[/C][C]0.482586[/C][/ROW]
[ROW][C]45[/C][C]0.017193[/C][C]0.1667[/C][C]0.433986[/C][/ROW]
[ROW][C]46[/C][C]0.027108[/C][C]0.2628[/C][C]0.396631[/C][/ROW]
[ROW][C]47[/C][C]-0.021105[/C][C]-0.2046[/C][C]0.419156[/C][/ROW]
[ROW][C]48[/C][C]-0.091188[/C][C]-0.8841[/C][C]0.18945[/C][/ROW]
[ROW][C]49[/C][C]-0.088401[/C][C]-0.8571[/C][C]0.19679[/C][/ROW]
[ROW][C]50[/C][C]0.073445[/C][C]0.7121[/C][C]0.23909[/C][/ROW]
[ROW][C]51[/C][C]0.024507[/C][C]0.2376[/C][C]0.406352[/C][/ROW]
[ROW][C]52[/C][C]-0.000574[/C][C]-0.0056[/C][C]0.497785[/C][/ROW]
[ROW][C]53[/C][C]0.047857[/C][C]0.464[/C][C]0.321862[/C][/ROW]
[ROW][C]54[/C][C]-0.00566[/C][C]-0.0549[/C][C]0.478176[/C][/ROW]
[ROW][C]55[/C][C]-0.027638[/C][C]-0.268[/C][C]0.394659[/C][/ROW]
[ROW][C]56[/C][C]-0.006417[/C][C]-0.0622[/C][C]0.47526[/C][/ROW]
[ROW][C]57[/C][C]-0.061566[/C][C]-0.5969[/C][C]0.276003[/C][/ROW]
[ROW][C]58[/C][C]0.020552[/C][C]0.1993[/C][C]0.421246[/C][/ROW]
[ROW][C]59[/C][C]0.080572[/C][C]0.7812[/C][C]0.218332[/C][/ROW]
[ROW][C]60[/C][C]-0.033119[/C][C]-0.3211[/C][C]0.374424[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=58992&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=58992&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 -0.396681 -3.846 0.000109 2 -0.233815 -2.2669 0.012844 3 -0.072773 -0.7056 0.241103 4 -0.055067 -0.5339 0.297338 5 -0.049277 -0.4778 0.316964 6 -0.239896 -2.3259 0.011087 7 0.023374 0.2266 0.410605 8 -0.010045 -0.0974 0.461312 9 -0.11585 -1.1232 0.132105 10 -0.230292 -2.2328 0.013969 11 0.187069 1.8137 0.036457 12 -0.321316 -3.1153 0.001218 13 -0.138853 -1.3462 0.090733 14 -0.09238 -0.8957 0.186361 15 0.184727 1.791 0.038256 16 -0.222314 -2.1554 0.016842 17 -0.111995 -1.0858 0.140166 18 -0.035677 -0.3459 0.365094 19 -0.118386 -1.1478 0.126984 20 -0.028322 -0.2746 0.392116 21 -0.090677 -0.8791 0.190783 22 -0.083396 -0.8086 0.210408 23 0.079215 0.768 0.222202 24 -0.118072 -1.1448 0.127609 25 -0.126934 -1.2307 0.110759 26 -0.05305 -0.5143 0.304112 27 0.020596 0.1997 0.421079 28 -0.10536 -1.0215 0.154819 29 -0.009004 -0.0873 0.46531 30 -0.119703 -1.1606 0.124379 31 0.049641 0.4813 0.315716 32 -0.027325 -0.2649 0.395825 33 -0.059916 -0.5809 0.281347 34 0.017112 0.1659 0.434292 35 0.090293 0.8754 0.191788 36 -0.114627 -1.1113 0.134626 37 -0.014142 -0.1371 0.445617 38 0.060424 0.5858 0.279698 39 0.041314 0.4006 0.344829 40 -0.171233 -1.6602 0.050107 41 -0.05586 -0.5416 0.294692 42 -0.0398 -0.3859 0.35023 43 -0.051711 -0.5014 0.308647 44 0.004516 0.0438 0.482586 45 0.017193 0.1667 0.433986 46 0.027108 0.2628 0.396631 47 -0.021105 -0.2046 0.419156 48 -0.091188 -0.8841 0.18945 49 -0.088401 -0.8571 0.19679 50 0.073445 0.7121 0.23909 51 0.024507 0.2376 0.406352 52 -0.000574 -0.0056 0.497785 53 0.047857 0.464 0.321862 54 -0.00566 -0.0549 0.478176 55 -0.027638 -0.268 0.394659 56 -0.006417 -0.0622 0.47526 57 -0.061566 -0.5969 0.276003 58 0.020552 0.1993 0.421246 59 0.080572 0.7812 0.218332 60 -0.033119 -0.3211 0.374424

Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 2 ; par4 = 1 ; par5 = 12 ; par6 = MA ; par7 = 0.95 ;
Parameters (R input):
par1 = 60 ; par2 = 1 ; par3 = 2 ; par4 = 1 ; par5 = 12 ; par6 = MA ; par7 = 0.95 ;
R code (references can be found in the software module):
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)
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.row.end(a)
for (i in 2:(par1+1)) {
a<-table.row.start(a)
a<-table.element(a,round(myacf[i],6))
mytstat <- myacf[i]*sqrtn
a<-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)