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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationWed, 28 Nov 2007 09:00:11 -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/Nov/28/t1196265051kbq6g8um3ltkjyf.htm/, Retrieved Thu, 02 May 2024 04:01:12 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=7110, Retrieved Thu, 02 May 2024 04:01:12 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact162
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Stationarity in t...] [2007-11-28 16:00:11] [fea8286ffce1c0d00dd375fb36de4323] [Current]
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Dataseries X:
98.8
100.5
110.4
96.4
101.9
106.2
81.0
94.7
101.0
109.4
102.3
90.7
96.2
96.1
106.0
103.1
102.0
104.7
86.0
92.1
106.9
112.6
101.7
92.0
97.4
97.0
105.4
102.7
98.1
104.5
87.4
89.9
109.8
111.7
98.6
96.9
95.1
97.0
112.7
102.9
97.4
111.4
87.4
96.8
114.1
110.3
103.9
101.6
94.6
95.9
104.7
102.8
98.1
113.9
80.9
95.7
113.2
105.9
108.8
102.3
99.0
100.7
115.5
100.7
109.9
114.6
85.4
100.5
114.8
116.5
112.9
102.0
106.0
105.3
118.8
106.1
109.3
117.2
91.9
103.9
115.9




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=7110&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=7110&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7110&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=7110&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=7110&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7110&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=7110&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=7110&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7110&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')