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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationThu, 06 Dec 2007 11:56:28 -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/2007/Dec/06/t1196966832q5nyhidcwl04qao.htm/, Retrieved Fri, 03 May 2024 13:45:58 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=2707, Retrieved Fri, 03 May 2024 13:45:58 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact193
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [autocorrelatie va...] [2007-12-06 18:56:28] [757ef2b8266f339cc1cb96dcaefa4cf0] [Current]
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Dataseries X:
115,9
103,9
91,9
117,2
109,3
106,1
118,8
105,3
106
102
112,9
116,5
114,8
100,5
85,4
114,6
109,9
100,7
115,5
100,7
99
102,3
108,8
105,9
113,2
95,7
80,9
113,9
98,1
102,8
104,7
95,9
94,6
101,6
103,9
110,3
114,1
96,8
87,4
111,4
97,4
102,9
112,7
97
95,1
96,9
98,6
111,7
109,8
89,9
87,4
104,5
98,1
102,7
105,4
97
97,4
92
101,7
112,6
106,9
92,1
86
104,7
102
103,1
106
96,1
96,2
90,7
102,3
109,4
101
94,7
81
106,2
101,9
96,4
110,4
100,5
98,8




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\begin{tabular}{lllllllll}
\hline
Summary of compuational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 3 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=2707&T=0

[TABLE]
[ROW][C]Summary of compuational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=2707&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2707&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001







Autocorrelation Function
Time lag kACF(k)T-STATP-value
018.30660
10.0152450.12660.4498
20.207971.72750.044274
30.3222592.67690.004638
4-0.005969-0.04960.519701
50.2402661.99580.024952
60.1969651.63610.053184
7-0.182698-1.51760.933158
80.024190.20090.420669
90.105840.87920.19118
10-0.204896-1.7020.953371
110.0374110.31080.378462
12-0.131951-1.09610.86157
13-0.166937-1.38670.914999
140.0371320.30840.379338
15-0.017784-0.14770.558504
16-0.129914-1.07910.857861
170.1386951.15210.12663
18-0.004497-0.03740.514845
19-0.153533-1.27530.896766
200.1253811.04150.150641
210.0897050.74510.229356
22-0.068873-0.57210.715443
230.2629842.18450.016163
24-0.094051-0.78120.781336
25-0.079363-0.65920.744033
260.2540982.11070.019213
27-0.054361-0.45160.673498
280.0012640.01050.495827
290.0399310.33170.370563
30-0.188556-1.56630.939069
310.0787220.65390.25767
320.0410350.34090.367122
33-0.172971-1.43680.922353
34-0.031066-0.25810.601434
35-0.033014-0.27420.607637
36-0.096795-0.8040.787932
370.1100330.9140.181948
38-0.008393-0.06970.527689
39-0.13564-1.12670.868116
400.0736810.6120.271262
41-0.039823-0.33080.6291
42-0.02094-0.17390.56879
430.0262320.21790.414076
440.01020.08470.466363
45-0.105794-0.87880.808717
460.0078280.0650.474171
47-0.07263-0.60330.72586

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 8.3066 & 0 \tabularnewline
1 & 0.015245 & 0.1266 & 0.4498 \tabularnewline
2 & 0.20797 & 1.7275 & 0.044274 \tabularnewline
3 & 0.322259 & 2.6769 & 0.004638 \tabularnewline
4 & -0.005969 & -0.0496 & 0.519701 \tabularnewline
5 & 0.240266 & 1.9958 & 0.024952 \tabularnewline
6 & 0.196965 & 1.6361 & 0.053184 \tabularnewline
7 & -0.182698 & -1.5176 & 0.933158 \tabularnewline
8 & 0.02419 & 0.2009 & 0.420669 \tabularnewline
9 & 0.10584 & 0.8792 & 0.19118 \tabularnewline
10 & -0.204896 & -1.702 & 0.953371 \tabularnewline
11 & 0.037411 & 0.3108 & 0.378462 \tabularnewline
12 & -0.131951 & -1.0961 & 0.86157 \tabularnewline
13 & -0.166937 & -1.3867 & 0.914999 \tabularnewline
14 & 0.037132 & 0.3084 & 0.379338 \tabularnewline
15 & -0.017784 & -0.1477 & 0.558504 \tabularnewline
16 & -0.129914 & -1.0791 & 0.857861 \tabularnewline
17 & 0.138695 & 1.1521 & 0.12663 \tabularnewline
18 & -0.004497 & -0.0374 & 0.514845 \tabularnewline
19 & -0.153533 & -1.2753 & 0.896766 \tabularnewline
20 & 0.125381 & 1.0415 & 0.150641 \tabularnewline
21 & 0.089705 & 0.7451 & 0.229356 \tabularnewline
22 & -0.068873 & -0.5721 & 0.715443 \tabularnewline
23 & 0.262984 & 2.1845 & 0.016163 \tabularnewline
24 & -0.094051 & -0.7812 & 0.781336 \tabularnewline
25 & -0.079363 & -0.6592 & 0.744033 \tabularnewline
26 & 0.254098 & 2.1107 & 0.019213 \tabularnewline
27 & -0.054361 & -0.4516 & 0.673498 \tabularnewline
28 & 0.001264 & 0.0105 & 0.495827 \tabularnewline
29 & 0.039931 & 0.3317 & 0.370563 \tabularnewline
30 & -0.188556 & -1.5663 & 0.939069 \tabularnewline
31 & 0.078722 & 0.6539 & 0.25767 \tabularnewline
32 & 0.041035 & 0.3409 & 0.367122 \tabularnewline
33 & -0.172971 & -1.4368 & 0.922353 \tabularnewline
34 & -0.031066 & -0.2581 & 0.601434 \tabularnewline
35 & -0.033014 & -0.2742 & 0.607637 \tabularnewline
36 & -0.096795 & -0.804 & 0.787932 \tabularnewline
37 & 0.110033 & 0.914 & 0.181948 \tabularnewline
38 & -0.008393 & -0.0697 & 0.527689 \tabularnewline
39 & -0.13564 & -1.1267 & 0.868116 \tabularnewline
40 & 0.073681 & 0.612 & 0.271262 \tabularnewline
41 & -0.039823 & -0.3308 & 0.6291 \tabularnewline
42 & -0.02094 & -0.1739 & 0.56879 \tabularnewline
43 & 0.026232 & 0.2179 & 0.414076 \tabularnewline
44 & 0.0102 & 0.0847 & 0.466363 \tabularnewline
45 & -0.105794 & -0.8788 & 0.808717 \tabularnewline
46 & 0.007828 & 0.065 & 0.474171 \tabularnewline
47 & -0.07263 & -0.6033 & 0.72586 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=2707&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]0[/C][C]1[/C][C]8.3066[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.015245[/C][C]0.1266[/C][C]0.4498[/C][/ROW]
[ROW][C]2[/C][C]0.20797[/C][C]1.7275[/C][C]0.044274[/C][/ROW]
[ROW][C]3[/C][C]0.322259[/C][C]2.6769[/C][C]0.004638[/C][/ROW]
[ROW][C]4[/C][C]-0.005969[/C][C]-0.0496[/C][C]0.519701[/C][/ROW]
[ROW][C]5[/C][C]0.240266[/C][C]1.9958[/C][C]0.024952[/C][/ROW]
[ROW][C]6[/C][C]0.196965[/C][C]1.6361[/C][C]0.053184[/C][/ROW]
[ROW][C]7[/C][C]-0.182698[/C][C]-1.5176[/C][C]0.933158[/C][/ROW]
[ROW][C]8[/C][C]0.02419[/C][C]0.2009[/C][C]0.420669[/C][/ROW]
[ROW][C]9[/C][C]0.10584[/C][C]0.8792[/C][C]0.19118[/C][/ROW]
[ROW][C]10[/C][C]-0.204896[/C][C]-1.702[/C][C]0.953371[/C][/ROW]
[ROW][C]11[/C][C]0.037411[/C][C]0.3108[/C][C]0.378462[/C][/ROW]
[ROW][C]12[/C][C]-0.131951[/C][C]-1.0961[/C][C]0.86157[/C][/ROW]
[ROW][C]13[/C][C]-0.166937[/C][C]-1.3867[/C][C]0.914999[/C][/ROW]
[ROW][C]14[/C][C]0.037132[/C][C]0.3084[/C][C]0.379338[/C][/ROW]
[ROW][C]15[/C][C]-0.017784[/C][C]-0.1477[/C][C]0.558504[/C][/ROW]
[ROW][C]16[/C][C]-0.129914[/C][C]-1.0791[/C][C]0.857861[/C][/ROW]
[ROW][C]17[/C][C]0.138695[/C][C]1.1521[/C][C]0.12663[/C][/ROW]
[ROW][C]18[/C][C]-0.004497[/C][C]-0.0374[/C][C]0.514845[/C][/ROW]
[ROW][C]19[/C][C]-0.153533[/C][C]-1.2753[/C][C]0.896766[/C][/ROW]
[ROW][C]20[/C][C]0.125381[/C][C]1.0415[/C][C]0.150641[/C][/ROW]
[ROW][C]21[/C][C]0.089705[/C][C]0.7451[/C][C]0.229356[/C][/ROW]
[ROW][C]22[/C][C]-0.068873[/C][C]-0.5721[/C][C]0.715443[/C][/ROW]
[ROW][C]23[/C][C]0.262984[/C][C]2.1845[/C][C]0.016163[/C][/ROW]
[ROW][C]24[/C][C]-0.094051[/C][C]-0.7812[/C][C]0.781336[/C][/ROW]
[ROW][C]25[/C][C]-0.079363[/C][C]-0.6592[/C][C]0.744033[/C][/ROW]
[ROW][C]26[/C][C]0.254098[/C][C]2.1107[/C][C]0.019213[/C][/ROW]
[ROW][C]27[/C][C]-0.054361[/C][C]-0.4516[/C][C]0.673498[/C][/ROW]
[ROW][C]28[/C][C]0.001264[/C][C]0.0105[/C][C]0.495827[/C][/ROW]
[ROW][C]29[/C][C]0.039931[/C][C]0.3317[/C][C]0.370563[/C][/ROW]
[ROW][C]30[/C][C]-0.188556[/C][C]-1.5663[/C][C]0.939069[/C][/ROW]
[ROW][C]31[/C][C]0.078722[/C][C]0.6539[/C][C]0.25767[/C][/ROW]
[ROW][C]32[/C][C]0.041035[/C][C]0.3409[/C][C]0.367122[/C][/ROW]
[ROW][C]33[/C][C]-0.172971[/C][C]-1.4368[/C][C]0.922353[/C][/ROW]
[ROW][C]34[/C][C]-0.031066[/C][C]-0.2581[/C][C]0.601434[/C][/ROW]
[ROW][C]35[/C][C]-0.033014[/C][C]-0.2742[/C][C]0.607637[/C][/ROW]
[ROW][C]36[/C][C]-0.096795[/C][C]-0.804[/C][C]0.787932[/C][/ROW]
[ROW][C]37[/C][C]0.110033[/C][C]0.914[/C][C]0.181948[/C][/ROW]
[ROW][C]38[/C][C]-0.008393[/C][C]-0.0697[/C][C]0.527689[/C][/ROW]
[ROW][C]39[/C][C]-0.13564[/C][C]-1.1267[/C][C]0.868116[/C][/ROW]
[ROW][C]40[/C][C]0.073681[/C][C]0.612[/C][C]0.271262[/C][/ROW]
[ROW][C]41[/C][C]-0.039823[/C][C]-0.3308[/C][C]0.6291[/C][/ROW]
[ROW][C]42[/C][C]-0.02094[/C][C]-0.1739[/C][C]0.56879[/C][/ROW]
[ROW][C]43[/C][C]0.026232[/C][C]0.2179[/C][C]0.414076[/C][/ROW]
[ROW][C]44[/C][C]0.0102[/C][C]0.0847[/C][C]0.466363[/C][/ROW]
[ROW][C]45[/C][C]-0.105794[/C][C]-0.8788[/C][C]0.808717[/C][/ROW]
[ROW][C]46[/C][C]0.007828[/C][C]0.065[/C][C]0.474171[/C][/ROW]
[ROW][C]47[/C][C]-0.07263[/C][C]-0.6033[/C][C]0.72586[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=2707&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2707&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
018.30660
10.0152450.12660.4498
20.207971.72750.044274
30.3222592.67690.004638
4-0.005969-0.04960.519701
50.2402661.99580.024952
60.1969651.63610.053184
7-0.182698-1.51760.933158
80.024190.20090.420669
90.105840.87920.19118
10-0.204896-1.7020.953371
110.0374110.31080.378462
12-0.131951-1.09610.86157
13-0.166937-1.38670.914999
140.0371320.30840.379338
15-0.017784-0.14770.558504
16-0.129914-1.07910.857861
170.1386951.15210.12663
18-0.004497-0.03740.514845
19-0.153533-1.27530.896766
200.1253811.04150.150641
210.0897050.74510.229356
22-0.068873-0.57210.715443
230.2629842.18450.016163
24-0.094051-0.78120.781336
25-0.079363-0.65920.744033
260.2540982.11070.019213
27-0.054361-0.45160.673498
280.0012640.01050.495827
290.0399310.33170.370563
30-0.188556-1.56630.939069
310.0787220.65390.25767
320.0410350.34090.367122
33-0.172971-1.43680.922353
34-0.031066-0.25810.601434
35-0.033014-0.27420.607637
36-0.096795-0.8040.787932
370.1100330.9140.181948
38-0.008393-0.06970.527689
39-0.13564-1.12670.868116
400.0736810.6120.271262
41-0.039823-0.33080.6291
42-0.02094-0.17390.56879
430.0262320.21790.414076
440.01020.08470.466363
45-0.105794-0.87880.808717
460.0078280.0650.474171
47-0.07263-0.60330.72586







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.0152450.12660.4498
10.2077851.7260.044412
20.3309412.7490.003812
3-0.041238-0.34250.633511
40.12221.01510.156809
50.1375251.14240.128624
6-0.270425-2.24630.986056
7-0.206554-1.71580.954654
80.1374121.14140.128819
9-0.100036-0.8310.795569
10-0.077008-0.63970.737749
11-0.056842-0.47220.680851
120.0356830.29640.383906
13-0.001285-0.01070.504244
140.0986280.81930.207729
150.0150490.1250.450441
160.1477371.22720.11196
170.0571880.4750.31813
18-0.250911-2.08420.979578
19-0.092532-0.76860.77763
200.299532.48810.007631
21-0.074266-0.61690.730334
220.0465470.38670.350102
230.0006920.00570.497716
24-0.103285-0.8580.803055
25-0.011441-0.0950.53772
260.1019260.84670.200056
270.0274350.22790.410203
28-0.116066-0.96410.830822
29-0.130863-1.0870.859596
300.0787540.65420.257586
31-0.058245-0.48380.684977
320.0425040.35310.362558
33-0.01633-0.13560.553751
340.0443270.36820.356922
350.0181980.15120.440144
360.0525070.43620.332042
370.0057330.04760.481079
38-0.031392-0.26080.602474
39-0.05755-0.4780.682935
40-0.102416-0.85070.801069
410.0239850.19920.421334
42-0.02867-0.23820.593766
43-0.040369-0.33530.630803
440.0251730.20910.417492
45-0.055059-0.45740.675574
46-0.091062-0.75640.774013
47-0.064049-0.5320.701794

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.015245 & 0.1266 & 0.4498 \tabularnewline
1 & 0.207785 & 1.726 & 0.044412 \tabularnewline
2 & 0.330941 & 2.749 & 0.003812 \tabularnewline
3 & -0.041238 & -0.3425 & 0.633511 \tabularnewline
4 & 0.1222 & 1.0151 & 0.156809 \tabularnewline
5 & 0.137525 & 1.1424 & 0.128624 \tabularnewline
6 & -0.270425 & -2.2463 & 0.986056 \tabularnewline
7 & -0.206554 & -1.7158 & 0.954654 \tabularnewline
8 & 0.137412 & 1.1414 & 0.128819 \tabularnewline
9 & -0.100036 & -0.831 & 0.795569 \tabularnewline
10 & -0.077008 & -0.6397 & 0.737749 \tabularnewline
11 & -0.056842 & -0.4722 & 0.680851 \tabularnewline
12 & 0.035683 & 0.2964 & 0.383906 \tabularnewline
13 & -0.001285 & -0.0107 & 0.504244 \tabularnewline
14 & 0.098628 & 0.8193 & 0.207729 \tabularnewline
15 & 0.015049 & 0.125 & 0.450441 \tabularnewline
16 & 0.147737 & 1.2272 & 0.11196 \tabularnewline
17 & 0.057188 & 0.475 & 0.31813 \tabularnewline
18 & -0.250911 & -2.0842 & 0.979578 \tabularnewline
19 & -0.092532 & -0.7686 & 0.77763 \tabularnewline
20 & 0.29953 & 2.4881 & 0.007631 \tabularnewline
21 & -0.074266 & -0.6169 & 0.730334 \tabularnewline
22 & 0.046547 & 0.3867 & 0.350102 \tabularnewline
23 & 0.000692 & 0.0057 & 0.497716 \tabularnewline
24 & -0.103285 & -0.858 & 0.803055 \tabularnewline
25 & -0.011441 & -0.095 & 0.53772 \tabularnewline
26 & 0.101926 & 0.8467 & 0.200056 \tabularnewline
27 & 0.027435 & 0.2279 & 0.410203 \tabularnewline
28 & -0.116066 & -0.9641 & 0.830822 \tabularnewline
29 & -0.130863 & -1.087 & 0.859596 \tabularnewline
30 & 0.078754 & 0.6542 & 0.257586 \tabularnewline
31 & -0.058245 & -0.4838 & 0.684977 \tabularnewline
32 & 0.042504 & 0.3531 & 0.362558 \tabularnewline
33 & -0.01633 & -0.1356 & 0.553751 \tabularnewline
34 & 0.044327 & 0.3682 & 0.356922 \tabularnewline
35 & 0.018198 & 0.1512 & 0.440144 \tabularnewline
36 & 0.052507 & 0.4362 & 0.332042 \tabularnewline
37 & 0.005733 & 0.0476 & 0.481079 \tabularnewline
38 & -0.031392 & -0.2608 & 0.602474 \tabularnewline
39 & -0.05755 & -0.478 & 0.682935 \tabularnewline
40 & -0.102416 & -0.8507 & 0.801069 \tabularnewline
41 & 0.023985 & 0.1992 & 0.421334 \tabularnewline
42 & -0.02867 & -0.2382 & 0.593766 \tabularnewline
43 & -0.040369 & -0.3353 & 0.630803 \tabularnewline
44 & 0.025173 & 0.2091 & 0.417492 \tabularnewline
45 & -0.055059 & -0.4574 & 0.675574 \tabularnewline
46 & -0.091062 & -0.7564 & 0.774013 \tabularnewline
47 & -0.064049 & -0.532 & 0.701794 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=2707&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]0[/C][C]0.015245[/C][C]0.1266[/C][C]0.4498[/C][/ROW]
[ROW][C]1[/C][C]0.207785[/C][C]1.726[/C][C]0.044412[/C][/ROW]
[ROW][C]2[/C][C]0.330941[/C][C]2.749[/C][C]0.003812[/C][/ROW]
[ROW][C]3[/C][C]-0.041238[/C][C]-0.3425[/C][C]0.633511[/C][/ROW]
[ROW][C]4[/C][C]0.1222[/C][C]1.0151[/C][C]0.156809[/C][/ROW]
[ROW][C]5[/C][C]0.137525[/C][C]1.1424[/C][C]0.128624[/C][/ROW]
[ROW][C]6[/C][C]-0.270425[/C][C]-2.2463[/C][C]0.986056[/C][/ROW]
[ROW][C]7[/C][C]-0.206554[/C][C]-1.7158[/C][C]0.954654[/C][/ROW]
[ROW][C]8[/C][C]0.137412[/C][C]1.1414[/C][C]0.128819[/C][/ROW]
[ROW][C]9[/C][C]-0.100036[/C][C]-0.831[/C][C]0.795569[/C][/ROW]
[ROW][C]10[/C][C]-0.077008[/C][C]-0.6397[/C][C]0.737749[/C][/ROW]
[ROW][C]11[/C][C]-0.056842[/C][C]-0.4722[/C][C]0.680851[/C][/ROW]
[ROW][C]12[/C][C]0.035683[/C][C]0.2964[/C][C]0.383906[/C][/ROW]
[ROW][C]13[/C][C]-0.001285[/C][C]-0.0107[/C][C]0.504244[/C][/ROW]
[ROW][C]14[/C][C]0.098628[/C][C]0.8193[/C][C]0.207729[/C][/ROW]
[ROW][C]15[/C][C]0.015049[/C][C]0.125[/C][C]0.450441[/C][/ROW]
[ROW][C]16[/C][C]0.147737[/C][C]1.2272[/C][C]0.11196[/C][/ROW]
[ROW][C]17[/C][C]0.057188[/C][C]0.475[/C][C]0.31813[/C][/ROW]
[ROW][C]18[/C][C]-0.250911[/C][C]-2.0842[/C][C]0.979578[/C][/ROW]
[ROW][C]19[/C][C]-0.092532[/C][C]-0.7686[/C][C]0.77763[/C][/ROW]
[ROW][C]20[/C][C]0.29953[/C][C]2.4881[/C][C]0.007631[/C][/ROW]
[ROW][C]21[/C][C]-0.074266[/C][C]-0.6169[/C][C]0.730334[/C][/ROW]
[ROW][C]22[/C][C]0.046547[/C][C]0.3867[/C][C]0.350102[/C][/ROW]
[ROW][C]23[/C][C]0.000692[/C][C]0.0057[/C][C]0.497716[/C][/ROW]
[ROW][C]24[/C][C]-0.103285[/C][C]-0.858[/C][C]0.803055[/C][/ROW]
[ROW][C]25[/C][C]-0.011441[/C][C]-0.095[/C][C]0.53772[/C][/ROW]
[ROW][C]26[/C][C]0.101926[/C][C]0.8467[/C][C]0.200056[/C][/ROW]
[ROW][C]27[/C][C]0.027435[/C][C]0.2279[/C][C]0.410203[/C][/ROW]
[ROW][C]28[/C][C]-0.116066[/C][C]-0.9641[/C][C]0.830822[/C][/ROW]
[ROW][C]29[/C][C]-0.130863[/C][C]-1.087[/C][C]0.859596[/C][/ROW]
[ROW][C]30[/C][C]0.078754[/C][C]0.6542[/C][C]0.257586[/C][/ROW]
[ROW][C]31[/C][C]-0.058245[/C][C]-0.4838[/C][C]0.684977[/C][/ROW]
[ROW][C]32[/C][C]0.042504[/C][C]0.3531[/C][C]0.362558[/C][/ROW]
[ROW][C]33[/C][C]-0.01633[/C][C]-0.1356[/C][C]0.553751[/C][/ROW]
[ROW][C]34[/C][C]0.044327[/C][C]0.3682[/C][C]0.356922[/C][/ROW]
[ROW][C]35[/C][C]0.018198[/C][C]0.1512[/C][C]0.440144[/C][/ROW]
[ROW][C]36[/C][C]0.052507[/C][C]0.4362[/C][C]0.332042[/C][/ROW]
[ROW][C]37[/C][C]0.005733[/C][C]0.0476[/C][C]0.481079[/C][/ROW]
[ROW][C]38[/C][C]-0.031392[/C][C]-0.2608[/C][C]0.602474[/C][/ROW]
[ROW][C]39[/C][C]-0.05755[/C][C]-0.478[/C][C]0.682935[/C][/ROW]
[ROW][C]40[/C][C]-0.102416[/C][C]-0.8507[/C][C]0.801069[/C][/ROW]
[ROW][C]41[/C][C]0.023985[/C][C]0.1992[/C][C]0.421334[/C][/ROW]
[ROW][C]42[/C][C]-0.02867[/C][C]-0.2382[/C][C]0.593766[/C][/ROW]
[ROW][C]43[/C][C]-0.040369[/C][C]-0.3353[/C][C]0.630803[/C][/ROW]
[ROW][C]44[/C][C]0.025173[/C][C]0.2091[/C][C]0.417492[/C][/ROW]
[ROW][C]45[/C][C]-0.055059[/C][C]-0.4574[/C][C]0.675574[/C][/ROW]
[ROW][C]46[/C][C]-0.091062[/C][C]-0.7564[/C][C]0.774013[/C][/ROW]
[ROW][C]47[/C][C]-0.064049[/C][C]-0.532[/C][C]0.701794[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=2707&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2707&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
00.0152450.12660.4498
10.2077851.7260.044412
20.3309412.7490.003812
3-0.041238-0.34250.633511
40.12221.01510.156809
50.1375251.14240.128624
6-0.270425-2.24630.986056
7-0.206554-1.71580.954654
80.1374121.14140.128819
9-0.100036-0.8310.795569
10-0.077008-0.63970.737749
11-0.056842-0.47220.680851
120.0356830.29640.383906
13-0.001285-0.01070.504244
140.0986280.81930.207729
150.0150490.1250.450441
160.1477371.22720.11196
170.0571880.4750.31813
18-0.250911-2.08420.979578
19-0.092532-0.76860.77763
200.299532.48810.007631
21-0.074266-0.61690.730334
220.0465470.38670.350102
230.0006920.00570.497716
24-0.103285-0.8580.803055
25-0.011441-0.0950.53772
260.1019260.84670.200056
270.0274350.22790.410203
28-0.116066-0.96410.830822
29-0.130863-1.0870.859596
300.0787540.65420.257586
31-0.058245-0.48380.684977
320.0425040.35310.362558
33-0.01633-0.13560.553751
340.0443270.36820.356922
350.0181980.15120.440144
360.0525070.43620.332042
370.0057330.04760.481079
38-0.031392-0.26080.602474
39-0.05755-0.4780.682935
40-0.102416-0.85070.801069
410.0239850.19920.421334
42-0.02867-0.23820.593766
43-0.040369-0.33530.630803
440.0251730.20910.417492
45-0.055059-0.45740.675574
46-0.091062-0.75640.774013
47-0.064049-0.5320.701794



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 1 ; par5 = 12 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 1 ; 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 1:par1) {
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(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-1,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(mytstat,lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')