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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationTue, 02 Jun 2009 08:27:09 -0600
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/Jun/02/t1243952875rxsz6zxjgrkabdv.htm/, Retrieved Fri, 10 May 2024 04:15:26 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=41235, Retrieved Fri, 10 May 2024 04:15:26 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact86
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [opdracht6bis2-Mer...] [2009-06-02 14:27:09] [822aa141fddc67f18188afbe1dd38d3f] [Current]
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Dataseries X:
672.1
674.4
676.6
678.7
680.8
682.9
684
684.1
684.1
684.2
685.9
689.2
692.4
695.7
697.2
696.8
696.4
695.9
696.2
697.2
705.2
706.2
707.4
708.7
710
711.3
711.5
710.7
710
709.2
707.9
706.1
704.4
702.7
701.5
700.8
700
699.3
698.8
698.4
696.8
695.1
694.3
693.4
692.4
691
689.7
688.3
686
683.6
682.6
681.9
681
679.9
678.5
677.5
678
679
679.8
681.3
684.2
687
688.4
689.5
691.1
693.3
695.9
698
699.6
701.6
703.5
705.5
708.1
709.6
710.3




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 2 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=41235&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=41235&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=41235&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 Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.9433558.16970
20.8733217.56320
30.7953086.88760
40.714676.18920
50.632285.47570
60.5490134.75465e-06
70.4623654.00427.3e-05
80.3686063.19220.001032
90.2685542.32570.011369
100.1639051.41950.079954
110.0608860.52730.299776
12-0.034199-0.29620.383957
13-0.120929-1.04730.149168
14-0.196962-1.70570.046098
15-0.263904-2.28550.012556
16-0.326205-2.8250.003027
17-0.385266-3.33650.000661
18-0.442009-3.82790.000133
19-0.493684-4.27542.8e-05
20-0.538906-4.66717e-06
21-0.559833-4.84833e-06
22-0.574467-4.9752e-06
23-0.582295-5.04282e-06
24-0.581859-5.0392e-06
25-0.571952-4.95332e-06
26-0.552206-4.78224e-06
27-0.527554-4.56889e-06
28-0.499718-4.32772.3e-05
29-0.465584-4.03216.6e-05
30-0.424879-3.67960.000219
31-0.380648-3.29650.000749
32-0.334655-2.89820.002459
33-0.287078-2.48620.007569
34-0.238156-2.06250.021312
35-0.188438-1.63190.053445
36-0.136873-1.18540.119809
37-0.08301-0.71890.237222
38-0.027805-0.24080.405185
390.0285790.24750.4026
400.0852420.73820.231344
410.1376821.19240.11844
420.1843571.59660.057283
430.2274321.96960.026287
440.2664272.30730.011899
450.2996522.59510.005685
460.3252862.81710.003096
470.342792.96860.002007
480.3513793.0430.001614

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.943355 & 8.1697 & 0 \tabularnewline
2 & 0.873321 & 7.5632 & 0 \tabularnewline
3 & 0.795308 & 6.8876 & 0 \tabularnewline
4 & 0.71467 & 6.1892 & 0 \tabularnewline
5 & 0.63228 & 5.4757 & 0 \tabularnewline
6 & 0.549013 & 4.7546 & 5e-06 \tabularnewline
7 & 0.462365 & 4.0042 & 7.3e-05 \tabularnewline
8 & 0.368606 & 3.1922 & 0.001032 \tabularnewline
9 & 0.268554 & 2.3257 & 0.011369 \tabularnewline
10 & 0.163905 & 1.4195 & 0.079954 \tabularnewline
11 & 0.060886 & 0.5273 & 0.299776 \tabularnewline
12 & -0.034199 & -0.2962 & 0.383957 \tabularnewline
13 & -0.120929 & -1.0473 & 0.149168 \tabularnewline
14 & -0.196962 & -1.7057 & 0.046098 \tabularnewline
15 & -0.263904 & -2.2855 & 0.012556 \tabularnewline
16 & -0.326205 & -2.825 & 0.003027 \tabularnewline
17 & -0.385266 & -3.3365 & 0.000661 \tabularnewline
18 & -0.442009 & -3.8279 & 0.000133 \tabularnewline
19 & -0.493684 & -4.2754 & 2.8e-05 \tabularnewline
20 & -0.538906 & -4.6671 & 7e-06 \tabularnewline
21 & -0.559833 & -4.8483 & 3e-06 \tabularnewline
22 & -0.574467 & -4.975 & 2e-06 \tabularnewline
23 & -0.582295 & -5.0428 & 2e-06 \tabularnewline
24 & -0.581859 & -5.039 & 2e-06 \tabularnewline
25 & -0.571952 & -4.9533 & 2e-06 \tabularnewline
26 & -0.552206 & -4.7822 & 4e-06 \tabularnewline
27 & -0.527554 & -4.5688 & 9e-06 \tabularnewline
28 & -0.499718 & -4.3277 & 2.3e-05 \tabularnewline
29 & -0.465584 & -4.0321 & 6.6e-05 \tabularnewline
30 & -0.424879 & -3.6796 & 0.000219 \tabularnewline
31 & -0.380648 & -3.2965 & 0.000749 \tabularnewline
32 & -0.334655 & -2.8982 & 0.002459 \tabularnewline
33 & -0.287078 & -2.4862 & 0.007569 \tabularnewline
34 & -0.238156 & -2.0625 & 0.021312 \tabularnewline
35 & -0.188438 & -1.6319 & 0.053445 \tabularnewline
36 & -0.136873 & -1.1854 & 0.119809 \tabularnewline
37 & -0.08301 & -0.7189 & 0.237222 \tabularnewline
38 & -0.027805 & -0.2408 & 0.405185 \tabularnewline
39 & 0.028579 & 0.2475 & 0.4026 \tabularnewline
40 & 0.085242 & 0.7382 & 0.231344 \tabularnewline
41 & 0.137682 & 1.1924 & 0.11844 \tabularnewline
42 & 0.184357 & 1.5966 & 0.057283 \tabularnewline
43 & 0.227432 & 1.9696 & 0.026287 \tabularnewline
44 & 0.266427 & 2.3073 & 0.011899 \tabularnewline
45 & 0.299652 & 2.5951 & 0.005685 \tabularnewline
46 & 0.325286 & 2.8171 & 0.003096 \tabularnewline
47 & 0.34279 & 2.9686 & 0.002007 \tabularnewline
48 & 0.351379 & 3.043 & 0.001614 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=41235&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]0.943355[/C][C]8.1697[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.873321[/C][C]7.5632[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.795308[/C][C]6.8876[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.71467[/C][C]6.1892[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.63228[/C][C]5.4757[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.549013[/C][C]4.7546[/C][C]5e-06[/C][/ROW]
[ROW][C]7[/C][C]0.462365[/C][C]4.0042[/C][C]7.3e-05[/C][/ROW]
[ROW][C]8[/C][C]0.368606[/C][C]3.1922[/C][C]0.001032[/C][/ROW]
[ROW][C]9[/C][C]0.268554[/C][C]2.3257[/C][C]0.011369[/C][/ROW]
[ROW][C]10[/C][C]0.163905[/C][C]1.4195[/C][C]0.079954[/C][/ROW]
[ROW][C]11[/C][C]0.060886[/C][C]0.5273[/C][C]0.299776[/C][/ROW]
[ROW][C]12[/C][C]-0.034199[/C][C]-0.2962[/C][C]0.383957[/C][/ROW]
[ROW][C]13[/C][C]-0.120929[/C][C]-1.0473[/C][C]0.149168[/C][/ROW]
[ROW][C]14[/C][C]-0.196962[/C][C]-1.7057[/C][C]0.046098[/C][/ROW]
[ROW][C]15[/C][C]-0.263904[/C][C]-2.2855[/C][C]0.012556[/C][/ROW]
[ROW][C]16[/C][C]-0.326205[/C][C]-2.825[/C][C]0.003027[/C][/ROW]
[ROW][C]17[/C][C]-0.385266[/C][C]-3.3365[/C][C]0.000661[/C][/ROW]
[ROW][C]18[/C][C]-0.442009[/C][C]-3.8279[/C][C]0.000133[/C][/ROW]
[ROW][C]19[/C][C]-0.493684[/C][C]-4.2754[/C][C]2.8e-05[/C][/ROW]
[ROW][C]20[/C][C]-0.538906[/C][C]-4.6671[/C][C]7e-06[/C][/ROW]
[ROW][C]21[/C][C]-0.559833[/C][C]-4.8483[/C][C]3e-06[/C][/ROW]
[ROW][C]22[/C][C]-0.574467[/C][C]-4.975[/C][C]2e-06[/C][/ROW]
[ROW][C]23[/C][C]-0.582295[/C][C]-5.0428[/C][C]2e-06[/C][/ROW]
[ROW][C]24[/C][C]-0.581859[/C][C]-5.039[/C][C]2e-06[/C][/ROW]
[ROW][C]25[/C][C]-0.571952[/C][C]-4.9533[/C][C]2e-06[/C][/ROW]
[ROW][C]26[/C][C]-0.552206[/C][C]-4.7822[/C][C]4e-06[/C][/ROW]
[ROW][C]27[/C][C]-0.527554[/C][C]-4.5688[/C][C]9e-06[/C][/ROW]
[ROW][C]28[/C][C]-0.499718[/C][C]-4.3277[/C][C]2.3e-05[/C][/ROW]
[ROW][C]29[/C][C]-0.465584[/C][C]-4.0321[/C][C]6.6e-05[/C][/ROW]
[ROW][C]30[/C][C]-0.424879[/C][C]-3.6796[/C][C]0.000219[/C][/ROW]
[ROW][C]31[/C][C]-0.380648[/C][C]-3.2965[/C][C]0.000749[/C][/ROW]
[ROW][C]32[/C][C]-0.334655[/C][C]-2.8982[/C][C]0.002459[/C][/ROW]
[ROW][C]33[/C][C]-0.287078[/C][C]-2.4862[/C][C]0.007569[/C][/ROW]
[ROW][C]34[/C][C]-0.238156[/C][C]-2.0625[/C][C]0.021312[/C][/ROW]
[ROW][C]35[/C][C]-0.188438[/C][C]-1.6319[/C][C]0.053445[/C][/ROW]
[ROW][C]36[/C][C]-0.136873[/C][C]-1.1854[/C][C]0.119809[/C][/ROW]
[ROW][C]37[/C][C]-0.08301[/C][C]-0.7189[/C][C]0.237222[/C][/ROW]
[ROW][C]38[/C][C]-0.027805[/C][C]-0.2408[/C][C]0.405185[/C][/ROW]
[ROW][C]39[/C][C]0.028579[/C][C]0.2475[/C][C]0.4026[/C][/ROW]
[ROW][C]40[/C][C]0.085242[/C][C]0.7382[/C][C]0.231344[/C][/ROW]
[ROW][C]41[/C][C]0.137682[/C][C]1.1924[/C][C]0.11844[/C][/ROW]
[ROW][C]42[/C][C]0.184357[/C][C]1.5966[/C][C]0.057283[/C][/ROW]
[ROW][C]43[/C][C]0.227432[/C][C]1.9696[/C][C]0.026287[/C][/ROW]
[ROW][C]44[/C][C]0.266427[/C][C]2.3073[/C][C]0.011899[/C][/ROW]
[ROW][C]45[/C][C]0.299652[/C][C]2.5951[/C][C]0.005685[/C][/ROW]
[ROW][C]46[/C][C]0.325286[/C][C]2.8171[/C][C]0.003096[/C][/ROW]
[ROW][C]47[/C][C]0.34279[/C][C]2.9686[/C][C]0.002007[/C][/ROW]
[ROW][C]48[/C][C]0.351379[/C][C]3.043[/C][C]0.001614[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=41235&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=41235&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 kACF(k)T-STATP-value
10.9433558.16970
20.8733217.56320
30.7953086.88760
40.714676.18920
50.632285.47570
60.5490134.75465e-06
70.4623654.00427.3e-05
80.3686063.19220.001032
90.2685542.32570.011369
100.1639051.41950.079954
110.0608860.52730.299776
12-0.034199-0.29620.383957
13-0.120929-1.04730.149168
14-0.196962-1.70570.046098
15-0.263904-2.28550.012556
16-0.326205-2.8250.003027
17-0.385266-3.33650.000661
18-0.442009-3.82790.000133
19-0.493684-4.27542.8e-05
20-0.538906-4.66717e-06
21-0.559833-4.84833e-06
22-0.574467-4.9752e-06
23-0.582295-5.04282e-06
24-0.581859-5.0392e-06
25-0.571952-4.95332e-06
26-0.552206-4.78224e-06
27-0.527554-4.56889e-06
28-0.499718-4.32772.3e-05
29-0.465584-4.03216.6e-05
30-0.424879-3.67960.000219
31-0.380648-3.29650.000749
32-0.334655-2.89820.002459
33-0.287078-2.48620.007569
34-0.238156-2.06250.021312
35-0.188438-1.63190.053445
36-0.136873-1.18540.119809
37-0.08301-0.71890.237222
38-0.027805-0.24080.405185
390.0285790.24750.4026
400.0852420.73820.231344
410.1376821.19240.11844
420.1843571.59660.057283
430.2274321.96960.026287
440.2664272.30730.011899
450.2996522.59510.005685
460.3252862.81710.003096
470.342792.96860.002007
480.3513793.0430.001614







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.9433558.16970
2-0.150776-1.30580.097813
3-0.097836-0.84730.199767
4-0.054071-0.46830.320475
5-0.056402-0.48850.313326
6-0.05469-0.47360.31857
7-0.083363-0.72190.236288
8-0.120942-1.04740.149141
9-0.115791-1.00280.159596
10-0.110809-0.95960.170162
11-0.066447-0.57540.283355
12-0.022032-0.19080.424598
13-0.031371-0.27170.393306
14-0.009958-0.08620.465753
15-0.02231-0.19320.423658
16-0.061008-0.52830.299409
17-0.070521-0.61070.271612
18-0.086444-0.74860.228211
19-0.072935-0.63160.264773
20-0.074557-0.64570.260229
210.0954330.82650.205578
22-0.087406-0.7570.225724
23-0.062105-0.53780.296138
24-0.025473-0.22060.412999
25-0.003609-0.03130.487574
260.0094820.08210.467386
27-0.043643-0.3780.353265
28-0.067771-0.58690.279513
29-0.030738-0.26620.395407
30-0.025868-0.2240.411673
31-0.041709-0.36120.35948
32-0.041239-0.35710.360996
33-0.040503-0.35080.363372
34-0.024048-0.20830.417794
35-0.019949-0.17280.431653
36-0.010731-0.09290.463103
370.0014970.0130.494844
38-0.004383-0.0380.484912
390.0104330.09030.464126
400.010530.09120.46379
41-0.000616-0.00530.497878
42-0.043784-0.37920.352812
43-0.009374-0.08120.467756
44-0.003388-0.02930.488335
45-0.015233-0.13190.447701
46-0.029999-0.25980.397867
47-0.048973-0.42410.336346
48-0.055973-0.48470.314635

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.943355 & 8.1697 & 0 \tabularnewline
2 & -0.150776 & -1.3058 & 0.097813 \tabularnewline
3 & -0.097836 & -0.8473 & 0.199767 \tabularnewline
4 & -0.054071 & -0.4683 & 0.320475 \tabularnewline
5 & -0.056402 & -0.4885 & 0.313326 \tabularnewline
6 & -0.05469 & -0.4736 & 0.31857 \tabularnewline
7 & -0.083363 & -0.7219 & 0.236288 \tabularnewline
8 & -0.120942 & -1.0474 & 0.149141 \tabularnewline
9 & -0.115791 & -1.0028 & 0.159596 \tabularnewline
10 & -0.110809 & -0.9596 & 0.170162 \tabularnewline
11 & -0.066447 & -0.5754 & 0.283355 \tabularnewline
12 & -0.022032 & -0.1908 & 0.424598 \tabularnewline
13 & -0.031371 & -0.2717 & 0.393306 \tabularnewline
14 & -0.009958 & -0.0862 & 0.465753 \tabularnewline
15 & -0.02231 & -0.1932 & 0.423658 \tabularnewline
16 & -0.061008 & -0.5283 & 0.299409 \tabularnewline
17 & -0.070521 & -0.6107 & 0.271612 \tabularnewline
18 & -0.086444 & -0.7486 & 0.228211 \tabularnewline
19 & -0.072935 & -0.6316 & 0.264773 \tabularnewline
20 & -0.074557 & -0.6457 & 0.260229 \tabularnewline
21 & 0.095433 & 0.8265 & 0.205578 \tabularnewline
22 & -0.087406 & -0.757 & 0.225724 \tabularnewline
23 & -0.062105 & -0.5378 & 0.296138 \tabularnewline
24 & -0.025473 & -0.2206 & 0.412999 \tabularnewline
25 & -0.003609 & -0.0313 & 0.487574 \tabularnewline
26 & 0.009482 & 0.0821 & 0.467386 \tabularnewline
27 & -0.043643 & -0.378 & 0.353265 \tabularnewline
28 & -0.067771 & -0.5869 & 0.279513 \tabularnewline
29 & -0.030738 & -0.2662 & 0.395407 \tabularnewline
30 & -0.025868 & -0.224 & 0.411673 \tabularnewline
31 & -0.041709 & -0.3612 & 0.35948 \tabularnewline
32 & -0.041239 & -0.3571 & 0.360996 \tabularnewline
33 & -0.040503 & -0.3508 & 0.363372 \tabularnewline
34 & -0.024048 & -0.2083 & 0.417794 \tabularnewline
35 & -0.019949 & -0.1728 & 0.431653 \tabularnewline
36 & -0.010731 & -0.0929 & 0.463103 \tabularnewline
37 & 0.001497 & 0.013 & 0.494844 \tabularnewline
38 & -0.004383 & -0.038 & 0.484912 \tabularnewline
39 & 0.010433 & 0.0903 & 0.464126 \tabularnewline
40 & 0.01053 & 0.0912 & 0.46379 \tabularnewline
41 & -0.000616 & -0.0053 & 0.497878 \tabularnewline
42 & -0.043784 & -0.3792 & 0.352812 \tabularnewline
43 & -0.009374 & -0.0812 & 0.467756 \tabularnewline
44 & -0.003388 & -0.0293 & 0.488335 \tabularnewline
45 & -0.015233 & -0.1319 & 0.447701 \tabularnewline
46 & -0.029999 & -0.2598 & 0.397867 \tabularnewline
47 & -0.048973 & -0.4241 & 0.336346 \tabularnewline
48 & -0.055973 & -0.4847 & 0.314635 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=41235&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]0.943355[/C][C]8.1697[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.150776[/C][C]-1.3058[/C][C]0.097813[/C][/ROW]
[ROW][C]3[/C][C]-0.097836[/C][C]-0.8473[/C][C]0.199767[/C][/ROW]
[ROW][C]4[/C][C]-0.054071[/C][C]-0.4683[/C][C]0.320475[/C][/ROW]
[ROW][C]5[/C][C]-0.056402[/C][C]-0.4885[/C][C]0.313326[/C][/ROW]
[ROW][C]6[/C][C]-0.05469[/C][C]-0.4736[/C][C]0.31857[/C][/ROW]
[ROW][C]7[/C][C]-0.083363[/C][C]-0.7219[/C][C]0.236288[/C][/ROW]
[ROW][C]8[/C][C]-0.120942[/C][C]-1.0474[/C][C]0.149141[/C][/ROW]
[ROW][C]9[/C][C]-0.115791[/C][C]-1.0028[/C][C]0.159596[/C][/ROW]
[ROW][C]10[/C][C]-0.110809[/C][C]-0.9596[/C][C]0.170162[/C][/ROW]
[ROW][C]11[/C][C]-0.066447[/C][C]-0.5754[/C][C]0.283355[/C][/ROW]
[ROW][C]12[/C][C]-0.022032[/C][C]-0.1908[/C][C]0.424598[/C][/ROW]
[ROW][C]13[/C][C]-0.031371[/C][C]-0.2717[/C][C]0.393306[/C][/ROW]
[ROW][C]14[/C][C]-0.009958[/C][C]-0.0862[/C][C]0.465753[/C][/ROW]
[ROW][C]15[/C][C]-0.02231[/C][C]-0.1932[/C][C]0.423658[/C][/ROW]
[ROW][C]16[/C][C]-0.061008[/C][C]-0.5283[/C][C]0.299409[/C][/ROW]
[ROW][C]17[/C][C]-0.070521[/C][C]-0.6107[/C][C]0.271612[/C][/ROW]
[ROW][C]18[/C][C]-0.086444[/C][C]-0.7486[/C][C]0.228211[/C][/ROW]
[ROW][C]19[/C][C]-0.072935[/C][C]-0.6316[/C][C]0.264773[/C][/ROW]
[ROW][C]20[/C][C]-0.074557[/C][C]-0.6457[/C][C]0.260229[/C][/ROW]
[ROW][C]21[/C][C]0.095433[/C][C]0.8265[/C][C]0.205578[/C][/ROW]
[ROW][C]22[/C][C]-0.087406[/C][C]-0.757[/C][C]0.225724[/C][/ROW]
[ROW][C]23[/C][C]-0.062105[/C][C]-0.5378[/C][C]0.296138[/C][/ROW]
[ROW][C]24[/C][C]-0.025473[/C][C]-0.2206[/C][C]0.412999[/C][/ROW]
[ROW][C]25[/C][C]-0.003609[/C][C]-0.0313[/C][C]0.487574[/C][/ROW]
[ROW][C]26[/C][C]0.009482[/C][C]0.0821[/C][C]0.467386[/C][/ROW]
[ROW][C]27[/C][C]-0.043643[/C][C]-0.378[/C][C]0.353265[/C][/ROW]
[ROW][C]28[/C][C]-0.067771[/C][C]-0.5869[/C][C]0.279513[/C][/ROW]
[ROW][C]29[/C][C]-0.030738[/C][C]-0.2662[/C][C]0.395407[/C][/ROW]
[ROW][C]30[/C][C]-0.025868[/C][C]-0.224[/C][C]0.411673[/C][/ROW]
[ROW][C]31[/C][C]-0.041709[/C][C]-0.3612[/C][C]0.35948[/C][/ROW]
[ROW][C]32[/C][C]-0.041239[/C][C]-0.3571[/C][C]0.360996[/C][/ROW]
[ROW][C]33[/C][C]-0.040503[/C][C]-0.3508[/C][C]0.363372[/C][/ROW]
[ROW][C]34[/C][C]-0.024048[/C][C]-0.2083[/C][C]0.417794[/C][/ROW]
[ROW][C]35[/C][C]-0.019949[/C][C]-0.1728[/C][C]0.431653[/C][/ROW]
[ROW][C]36[/C][C]-0.010731[/C][C]-0.0929[/C][C]0.463103[/C][/ROW]
[ROW][C]37[/C][C]0.001497[/C][C]0.013[/C][C]0.494844[/C][/ROW]
[ROW][C]38[/C][C]-0.004383[/C][C]-0.038[/C][C]0.484912[/C][/ROW]
[ROW][C]39[/C][C]0.010433[/C][C]0.0903[/C][C]0.464126[/C][/ROW]
[ROW][C]40[/C][C]0.01053[/C][C]0.0912[/C][C]0.46379[/C][/ROW]
[ROW][C]41[/C][C]-0.000616[/C][C]-0.0053[/C][C]0.497878[/C][/ROW]
[ROW][C]42[/C][C]-0.043784[/C][C]-0.3792[/C][C]0.352812[/C][/ROW]
[ROW][C]43[/C][C]-0.009374[/C][C]-0.0812[/C][C]0.467756[/C][/ROW]
[ROW][C]44[/C][C]-0.003388[/C][C]-0.0293[/C][C]0.488335[/C][/ROW]
[ROW][C]45[/C][C]-0.015233[/C][C]-0.1319[/C][C]0.447701[/C][/ROW]
[ROW][C]46[/C][C]-0.029999[/C][C]-0.2598[/C][C]0.397867[/C][/ROW]
[ROW][C]47[/C][C]-0.048973[/C][C]-0.4241[/C][C]0.336346[/C][/ROW]
[ROW][C]48[/C][C]-0.055973[/C][C]-0.4847[/C][C]0.314635[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=41235&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=41235&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 kPACF(k)T-STATP-value
10.9433558.16970
2-0.150776-1.30580.097813
3-0.097836-0.84730.199767
4-0.054071-0.46830.320475
5-0.056402-0.48850.313326
6-0.05469-0.47360.31857
7-0.083363-0.72190.236288
8-0.120942-1.04740.149141
9-0.115791-1.00280.159596
10-0.110809-0.95960.170162
11-0.066447-0.57540.283355
12-0.022032-0.19080.424598
13-0.031371-0.27170.393306
14-0.009958-0.08620.465753
15-0.02231-0.19320.423658
16-0.061008-0.52830.299409
17-0.070521-0.61070.271612
18-0.086444-0.74860.228211
19-0.072935-0.63160.264773
20-0.074557-0.64570.260229
210.0954330.82650.205578
22-0.087406-0.7570.225724
23-0.062105-0.53780.296138
24-0.025473-0.22060.412999
25-0.003609-0.03130.487574
260.0094820.08210.467386
27-0.043643-0.3780.353265
28-0.067771-0.58690.279513
29-0.030738-0.26620.395407
30-0.025868-0.2240.411673
31-0.041709-0.36120.35948
32-0.041239-0.35710.360996
33-0.040503-0.35080.363372
34-0.024048-0.20830.417794
35-0.019949-0.17280.431653
36-0.010731-0.09290.463103
370.0014970.0130.494844
38-0.004383-0.0380.484912
390.0104330.09030.464126
400.010530.09120.46379
41-0.000616-0.00530.497878
42-0.043784-0.37920.352812
43-0.009374-0.08120.467756
44-0.003388-0.02930.488335
45-0.015233-0.13190.447701
46-0.029999-0.25980.397867
47-0.048973-0.42410.336346
48-0.055973-0.48470.314635



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;
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 (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='lags',ylab='ACF')
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]*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)
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]*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='mytable1.tab')