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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, 14 May 2009 11:12:06 -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/May/14/t1242321322llpqkiolt8ewc4o.htm/, Retrieved Sun, 28 Apr 2024 20:18:45 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=40051, Retrieved Sun, 28 Apr 2024 20:18:45 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact104
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [oefening 6BIS eig...] [2009-05-14 17:12:06] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
49.1
52.7
55.1
60.4
57.5
55.9
62.6
61.3
67.1
68.6
74.8
76.9
85.7
86.5
90.8
89.7
96.3
107.5
109.2
100.2
116.8
120.1
123.3
130.2
131.4
125.6
124.5
134.3
135.2
151.8
146.4
140.0
127.8
148.0
165.9
165.5
179.9
190.0
189.8
190.9
203.6
183.5
169.3
144.2
141.5
154.3
169.5
194.0
203.2
192.9
209.4
227.2
263.7
297.8
337.1
361.3
355.2
312.6
309.9
323.7
324.1
355.3
383.4
395.1
412.8
407.0
438.0
446.1
452.5
447.3
475.9
487.7




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=40051&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=40051&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=40051&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 time1 seconds
R Server'George Udny Yule' @ 72.249.76.132







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.3518012.96430.002064
20.0981160.82670.205576
3-0.10444-0.880.190906
4-0.175939-1.48250.071318
5-0.20345-1.71430.045418
6-0.007661-0.06460.474356
70.1223461.03090.153042
80.1618871.36410.088425
9-0.023665-0.19940.421258
10-0.145822-1.22870.111617
11-0.028049-0.23630.406923
12-0.021498-0.18110.428383
13-0.01514-0.12760.449423
140.1365731.15080.126841
150.0912940.76930.222147
160.2030581.7110.045724
170.1245191.04920.148819
180.0755520.63660.263213
190.0655360.55220.291268
20-0.076336-0.64320.261077
21-0.121827-1.02650.154063
22-0.095268-0.80270.212402
23-0.133186-1.12220.13277
24-0.040627-0.34230.366558
250.0678490.57170.284663
260.0765190.64480.26058
27-0.019998-0.16850.433331
28-0.038659-0.32570.372788
29-0.131267-1.10610.136213
300.0091250.07690.469464
31-0.045137-0.38030.352417
320.0092250.07770.469132
330.0269560.22710.410487
340.0102280.08620.465781
35-0.030132-0.25390.400154
36-0.056664-0.47750.31725
370.0253010.21320.415894
380.0202040.17020.432653
39-0.000975-0.00820.496733
40-0.087467-0.7370.231773
41-0.001711-0.01440.494267
42-0.013841-0.11660.453741
43-0.040555-0.34170.366785
44-0.003994-0.03370.486624
45-0.067738-0.57080.284979
46-0.023047-0.19420.423286
47-0.058633-0.4940.311399
48-0.062151-0.52370.301061

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.351801 & 2.9643 & 0.002064 \tabularnewline
2 & 0.098116 & 0.8267 & 0.205576 \tabularnewline
3 & -0.10444 & -0.88 & 0.190906 \tabularnewline
4 & -0.175939 & -1.4825 & 0.071318 \tabularnewline
5 & -0.20345 & -1.7143 & 0.045418 \tabularnewline
6 & -0.007661 & -0.0646 & 0.474356 \tabularnewline
7 & 0.122346 & 1.0309 & 0.153042 \tabularnewline
8 & 0.161887 & 1.3641 & 0.088425 \tabularnewline
9 & -0.023665 & -0.1994 & 0.421258 \tabularnewline
10 & -0.145822 & -1.2287 & 0.111617 \tabularnewline
11 & -0.028049 & -0.2363 & 0.406923 \tabularnewline
12 & -0.021498 & -0.1811 & 0.428383 \tabularnewline
13 & -0.01514 & -0.1276 & 0.449423 \tabularnewline
14 & 0.136573 & 1.1508 & 0.126841 \tabularnewline
15 & 0.091294 & 0.7693 & 0.222147 \tabularnewline
16 & 0.203058 & 1.711 & 0.045724 \tabularnewline
17 & 0.124519 & 1.0492 & 0.148819 \tabularnewline
18 & 0.075552 & 0.6366 & 0.263213 \tabularnewline
19 & 0.065536 & 0.5522 & 0.291268 \tabularnewline
20 & -0.076336 & -0.6432 & 0.261077 \tabularnewline
21 & -0.121827 & -1.0265 & 0.154063 \tabularnewline
22 & -0.095268 & -0.8027 & 0.212402 \tabularnewline
23 & -0.133186 & -1.1222 & 0.13277 \tabularnewline
24 & -0.040627 & -0.3423 & 0.366558 \tabularnewline
25 & 0.067849 & 0.5717 & 0.284663 \tabularnewline
26 & 0.076519 & 0.6448 & 0.26058 \tabularnewline
27 & -0.019998 & -0.1685 & 0.433331 \tabularnewline
28 & -0.038659 & -0.3257 & 0.372788 \tabularnewline
29 & -0.131267 & -1.1061 & 0.136213 \tabularnewline
30 & 0.009125 & 0.0769 & 0.469464 \tabularnewline
31 & -0.045137 & -0.3803 & 0.352417 \tabularnewline
32 & 0.009225 & 0.0777 & 0.469132 \tabularnewline
33 & 0.026956 & 0.2271 & 0.410487 \tabularnewline
34 & 0.010228 & 0.0862 & 0.465781 \tabularnewline
35 & -0.030132 & -0.2539 & 0.400154 \tabularnewline
36 & -0.056664 & -0.4775 & 0.31725 \tabularnewline
37 & 0.025301 & 0.2132 & 0.415894 \tabularnewline
38 & 0.020204 & 0.1702 & 0.432653 \tabularnewline
39 & -0.000975 & -0.0082 & 0.496733 \tabularnewline
40 & -0.087467 & -0.737 & 0.231773 \tabularnewline
41 & -0.001711 & -0.0144 & 0.494267 \tabularnewline
42 & -0.013841 & -0.1166 & 0.453741 \tabularnewline
43 & -0.040555 & -0.3417 & 0.366785 \tabularnewline
44 & -0.003994 & -0.0337 & 0.486624 \tabularnewline
45 & -0.067738 & -0.5708 & 0.284979 \tabularnewline
46 & -0.023047 & -0.1942 & 0.423286 \tabularnewline
47 & -0.058633 & -0.494 & 0.311399 \tabularnewline
48 & -0.062151 & -0.5237 & 0.301061 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=40051&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]0.351801[/C][C]2.9643[/C][C]0.002064[/C][/ROW]
[ROW][C]2[/C][C]0.098116[/C][C]0.8267[/C][C]0.205576[/C][/ROW]
[ROW][C]3[/C][C]-0.10444[/C][C]-0.88[/C][C]0.190906[/C][/ROW]
[ROW][C]4[/C][C]-0.175939[/C][C]-1.4825[/C][C]0.071318[/C][/ROW]
[ROW][C]5[/C][C]-0.20345[/C][C]-1.7143[/C][C]0.045418[/C][/ROW]
[ROW][C]6[/C][C]-0.007661[/C][C]-0.0646[/C][C]0.474356[/C][/ROW]
[ROW][C]7[/C][C]0.122346[/C][C]1.0309[/C][C]0.153042[/C][/ROW]
[ROW][C]8[/C][C]0.161887[/C][C]1.3641[/C][C]0.088425[/C][/ROW]
[ROW][C]9[/C][C]-0.023665[/C][C]-0.1994[/C][C]0.421258[/C][/ROW]
[ROW][C]10[/C][C]-0.145822[/C][C]-1.2287[/C][C]0.111617[/C][/ROW]
[ROW][C]11[/C][C]-0.028049[/C][C]-0.2363[/C][C]0.406923[/C][/ROW]
[ROW][C]12[/C][C]-0.021498[/C][C]-0.1811[/C][C]0.428383[/C][/ROW]
[ROW][C]13[/C][C]-0.01514[/C][C]-0.1276[/C][C]0.449423[/C][/ROW]
[ROW][C]14[/C][C]0.136573[/C][C]1.1508[/C][C]0.126841[/C][/ROW]
[ROW][C]15[/C][C]0.091294[/C][C]0.7693[/C][C]0.222147[/C][/ROW]
[ROW][C]16[/C][C]0.203058[/C][C]1.711[/C][C]0.045724[/C][/ROW]
[ROW][C]17[/C][C]0.124519[/C][C]1.0492[/C][C]0.148819[/C][/ROW]
[ROW][C]18[/C][C]0.075552[/C][C]0.6366[/C][C]0.263213[/C][/ROW]
[ROW][C]19[/C][C]0.065536[/C][C]0.5522[/C][C]0.291268[/C][/ROW]
[ROW][C]20[/C][C]-0.076336[/C][C]-0.6432[/C][C]0.261077[/C][/ROW]
[ROW][C]21[/C][C]-0.121827[/C][C]-1.0265[/C][C]0.154063[/C][/ROW]
[ROW][C]22[/C][C]-0.095268[/C][C]-0.8027[/C][C]0.212402[/C][/ROW]
[ROW][C]23[/C][C]-0.133186[/C][C]-1.1222[/C][C]0.13277[/C][/ROW]
[ROW][C]24[/C][C]-0.040627[/C][C]-0.3423[/C][C]0.366558[/C][/ROW]
[ROW][C]25[/C][C]0.067849[/C][C]0.5717[/C][C]0.284663[/C][/ROW]
[ROW][C]26[/C][C]0.076519[/C][C]0.6448[/C][C]0.26058[/C][/ROW]
[ROW][C]27[/C][C]-0.019998[/C][C]-0.1685[/C][C]0.433331[/C][/ROW]
[ROW][C]28[/C][C]-0.038659[/C][C]-0.3257[/C][C]0.372788[/C][/ROW]
[ROW][C]29[/C][C]-0.131267[/C][C]-1.1061[/C][C]0.136213[/C][/ROW]
[ROW][C]30[/C][C]0.009125[/C][C]0.0769[/C][C]0.469464[/C][/ROW]
[ROW][C]31[/C][C]-0.045137[/C][C]-0.3803[/C][C]0.352417[/C][/ROW]
[ROW][C]32[/C][C]0.009225[/C][C]0.0777[/C][C]0.469132[/C][/ROW]
[ROW][C]33[/C][C]0.026956[/C][C]0.2271[/C][C]0.410487[/C][/ROW]
[ROW][C]34[/C][C]0.010228[/C][C]0.0862[/C][C]0.465781[/C][/ROW]
[ROW][C]35[/C][C]-0.030132[/C][C]-0.2539[/C][C]0.400154[/C][/ROW]
[ROW][C]36[/C][C]-0.056664[/C][C]-0.4775[/C][C]0.31725[/C][/ROW]
[ROW][C]37[/C][C]0.025301[/C][C]0.2132[/C][C]0.415894[/C][/ROW]
[ROW][C]38[/C][C]0.020204[/C][C]0.1702[/C][C]0.432653[/C][/ROW]
[ROW][C]39[/C][C]-0.000975[/C][C]-0.0082[/C][C]0.496733[/C][/ROW]
[ROW][C]40[/C][C]-0.087467[/C][C]-0.737[/C][C]0.231773[/C][/ROW]
[ROW][C]41[/C][C]-0.001711[/C][C]-0.0144[/C][C]0.494267[/C][/ROW]
[ROW][C]42[/C][C]-0.013841[/C][C]-0.1166[/C][C]0.453741[/C][/ROW]
[ROW][C]43[/C][C]-0.040555[/C][C]-0.3417[/C][C]0.366785[/C][/ROW]
[ROW][C]44[/C][C]-0.003994[/C][C]-0.0337[/C][C]0.486624[/C][/ROW]
[ROW][C]45[/C][C]-0.067738[/C][C]-0.5708[/C][C]0.284979[/C][/ROW]
[ROW][C]46[/C][C]-0.023047[/C][C]-0.1942[/C][C]0.423286[/C][/ROW]
[ROW][C]47[/C][C]-0.058633[/C][C]-0.494[/C][C]0.311399[/C][/ROW]
[ROW][C]48[/C][C]-0.062151[/C][C]-0.5237[/C][C]0.301061[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=40051&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=40051&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
10.3518012.96430.002064
20.0981160.82670.205576
3-0.10444-0.880.190906
4-0.175939-1.48250.071318
5-0.20345-1.71430.045418
6-0.007661-0.06460.474356
70.1223461.03090.153042
80.1618871.36410.088425
9-0.023665-0.19940.421258
10-0.145822-1.22870.111617
11-0.028049-0.23630.406923
12-0.021498-0.18110.428383
13-0.01514-0.12760.449423
140.1365731.15080.126841
150.0912940.76930.222147
160.2030581.7110.045724
170.1245191.04920.148819
180.0755520.63660.263213
190.0655360.55220.291268
20-0.076336-0.64320.261077
21-0.121827-1.02650.154063
22-0.095268-0.80270.212402
23-0.133186-1.12220.13277
24-0.040627-0.34230.366558
250.0678490.57170.284663
260.0765190.64480.26058
27-0.019998-0.16850.433331
28-0.038659-0.32570.372788
29-0.131267-1.10610.136213
300.0091250.07690.469464
31-0.045137-0.38030.352417
320.0092250.07770.469132
330.0269560.22710.410487
340.0102280.08620.465781
35-0.030132-0.25390.400154
36-0.056664-0.47750.31725
370.0253010.21320.415894
380.0202040.17020.432653
39-0.000975-0.00820.496733
40-0.087467-0.7370.231773
41-0.001711-0.01440.494267
42-0.013841-0.11660.453741
43-0.040555-0.34170.366785
44-0.003994-0.03370.486624
45-0.067738-0.57080.284979
46-0.023047-0.19420.423286
47-0.058633-0.4940.311399
48-0.062151-0.52370.301061







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.3518012.96430.002064
2-0.02927-0.24660.402952
3-0.148113-1.2480.108061
4-0.103772-0.87440.192425
5-0.109798-0.92520.179005
60.1148410.96770.168247
70.0965170.81330.209391
80.0432870.36470.358195
9-0.163528-1.37790.08628
10-0.126127-1.06280.145745
110.1642811.38430.085308
120.0245040.20650.418507
13-0.052139-0.43930.330878
140.091260.7690.222232
15-0.04563-0.38450.350885
160.2632442.21810.014873
170.0768040.64720.259808
180.0018320.01540.493863
190.052170.43960.330785
20-0.135024-1.13770.129529
210.0542920.45750.324364
22-0.038615-0.32540.372927
23-0.162351-1.3680.087814
240.0362680.30560.380403
250.0165080.13910.444884
260.0924080.77860.219388
27-0.128241-1.08060.141772
28-0.073136-0.61630.269849
29-0.042698-0.35980.36004
300.0751370.63310.264346
31-0.037043-0.31210.377928
32-0.142664-1.20210.116658
33-0.130271-1.09770.138025
340.0617150.520.302335
350.0658870.55520.290261
36-0.034604-0.29160.385729
370.0468850.39510.346992
38-0.04973-0.4190.338229
390.103530.87240.192976
40-0.036653-0.30880.379172
410.0244290.20580.41875
42-0.040085-0.33780.368269
43-0.05069-0.42710.335293
440.0476040.40110.34477
45-0.103646-0.87330.192713
460.0323960.2730.392834
47-0.000281-0.00240.499059
48-0.026471-0.2230.41207

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.351801 & 2.9643 & 0.002064 \tabularnewline
2 & -0.02927 & -0.2466 & 0.402952 \tabularnewline
3 & -0.148113 & -1.248 & 0.108061 \tabularnewline
4 & -0.103772 & -0.8744 & 0.192425 \tabularnewline
5 & -0.109798 & -0.9252 & 0.179005 \tabularnewline
6 & 0.114841 & 0.9677 & 0.168247 \tabularnewline
7 & 0.096517 & 0.8133 & 0.209391 \tabularnewline
8 & 0.043287 & 0.3647 & 0.358195 \tabularnewline
9 & -0.163528 & -1.3779 & 0.08628 \tabularnewline
10 & -0.126127 & -1.0628 & 0.145745 \tabularnewline
11 & 0.164281 & 1.3843 & 0.085308 \tabularnewline
12 & 0.024504 & 0.2065 & 0.418507 \tabularnewline
13 & -0.052139 & -0.4393 & 0.330878 \tabularnewline
14 & 0.09126 & 0.769 & 0.222232 \tabularnewline
15 & -0.04563 & -0.3845 & 0.350885 \tabularnewline
16 & 0.263244 & 2.2181 & 0.014873 \tabularnewline
17 & 0.076804 & 0.6472 & 0.259808 \tabularnewline
18 & 0.001832 & 0.0154 & 0.493863 \tabularnewline
19 & 0.05217 & 0.4396 & 0.330785 \tabularnewline
20 & -0.135024 & -1.1377 & 0.129529 \tabularnewline
21 & 0.054292 & 0.4575 & 0.324364 \tabularnewline
22 & -0.038615 & -0.3254 & 0.372927 \tabularnewline
23 & -0.162351 & -1.368 & 0.087814 \tabularnewline
24 & 0.036268 & 0.3056 & 0.380403 \tabularnewline
25 & 0.016508 & 0.1391 & 0.444884 \tabularnewline
26 & 0.092408 & 0.7786 & 0.219388 \tabularnewline
27 & -0.128241 & -1.0806 & 0.141772 \tabularnewline
28 & -0.073136 & -0.6163 & 0.269849 \tabularnewline
29 & -0.042698 & -0.3598 & 0.36004 \tabularnewline
30 & 0.075137 & 0.6331 & 0.264346 \tabularnewline
31 & -0.037043 & -0.3121 & 0.377928 \tabularnewline
32 & -0.142664 & -1.2021 & 0.116658 \tabularnewline
33 & -0.130271 & -1.0977 & 0.138025 \tabularnewline
34 & 0.061715 & 0.52 & 0.302335 \tabularnewline
35 & 0.065887 & 0.5552 & 0.290261 \tabularnewline
36 & -0.034604 & -0.2916 & 0.385729 \tabularnewline
37 & 0.046885 & 0.3951 & 0.346992 \tabularnewline
38 & -0.04973 & -0.419 & 0.338229 \tabularnewline
39 & 0.10353 & 0.8724 & 0.192976 \tabularnewline
40 & -0.036653 & -0.3088 & 0.379172 \tabularnewline
41 & 0.024429 & 0.2058 & 0.41875 \tabularnewline
42 & -0.040085 & -0.3378 & 0.368269 \tabularnewline
43 & -0.05069 & -0.4271 & 0.335293 \tabularnewline
44 & 0.047604 & 0.4011 & 0.34477 \tabularnewline
45 & -0.103646 & -0.8733 & 0.192713 \tabularnewline
46 & 0.032396 & 0.273 & 0.392834 \tabularnewline
47 & -0.000281 & -0.0024 & 0.499059 \tabularnewline
48 & -0.026471 & -0.223 & 0.41207 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=40051&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]0.351801[/C][C]2.9643[/C][C]0.002064[/C][/ROW]
[ROW][C]2[/C][C]-0.02927[/C][C]-0.2466[/C][C]0.402952[/C][/ROW]
[ROW][C]3[/C][C]-0.148113[/C][C]-1.248[/C][C]0.108061[/C][/ROW]
[ROW][C]4[/C][C]-0.103772[/C][C]-0.8744[/C][C]0.192425[/C][/ROW]
[ROW][C]5[/C][C]-0.109798[/C][C]-0.9252[/C][C]0.179005[/C][/ROW]
[ROW][C]6[/C][C]0.114841[/C][C]0.9677[/C][C]0.168247[/C][/ROW]
[ROW][C]7[/C][C]0.096517[/C][C]0.8133[/C][C]0.209391[/C][/ROW]
[ROW][C]8[/C][C]0.043287[/C][C]0.3647[/C][C]0.358195[/C][/ROW]
[ROW][C]9[/C][C]-0.163528[/C][C]-1.3779[/C][C]0.08628[/C][/ROW]
[ROW][C]10[/C][C]-0.126127[/C][C]-1.0628[/C][C]0.145745[/C][/ROW]
[ROW][C]11[/C][C]0.164281[/C][C]1.3843[/C][C]0.085308[/C][/ROW]
[ROW][C]12[/C][C]0.024504[/C][C]0.2065[/C][C]0.418507[/C][/ROW]
[ROW][C]13[/C][C]-0.052139[/C][C]-0.4393[/C][C]0.330878[/C][/ROW]
[ROW][C]14[/C][C]0.09126[/C][C]0.769[/C][C]0.222232[/C][/ROW]
[ROW][C]15[/C][C]-0.04563[/C][C]-0.3845[/C][C]0.350885[/C][/ROW]
[ROW][C]16[/C][C]0.263244[/C][C]2.2181[/C][C]0.014873[/C][/ROW]
[ROW][C]17[/C][C]0.076804[/C][C]0.6472[/C][C]0.259808[/C][/ROW]
[ROW][C]18[/C][C]0.001832[/C][C]0.0154[/C][C]0.493863[/C][/ROW]
[ROW][C]19[/C][C]0.05217[/C][C]0.4396[/C][C]0.330785[/C][/ROW]
[ROW][C]20[/C][C]-0.135024[/C][C]-1.1377[/C][C]0.129529[/C][/ROW]
[ROW][C]21[/C][C]0.054292[/C][C]0.4575[/C][C]0.324364[/C][/ROW]
[ROW][C]22[/C][C]-0.038615[/C][C]-0.3254[/C][C]0.372927[/C][/ROW]
[ROW][C]23[/C][C]-0.162351[/C][C]-1.368[/C][C]0.087814[/C][/ROW]
[ROW][C]24[/C][C]0.036268[/C][C]0.3056[/C][C]0.380403[/C][/ROW]
[ROW][C]25[/C][C]0.016508[/C][C]0.1391[/C][C]0.444884[/C][/ROW]
[ROW][C]26[/C][C]0.092408[/C][C]0.7786[/C][C]0.219388[/C][/ROW]
[ROW][C]27[/C][C]-0.128241[/C][C]-1.0806[/C][C]0.141772[/C][/ROW]
[ROW][C]28[/C][C]-0.073136[/C][C]-0.6163[/C][C]0.269849[/C][/ROW]
[ROW][C]29[/C][C]-0.042698[/C][C]-0.3598[/C][C]0.36004[/C][/ROW]
[ROW][C]30[/C][C]0.075137[/C][C]0.6331[/C][C]0.264346[/C][/ROW]
[ROW][C]31[/C][C]-0.037043[/C][C]-0.3121[/C][C]0.377928[/C][/ROW]
[ROW][C]32[/C][C]-0.142664[/C][C]-1.2021[/C][C]0.116658[/C][/ROW]
[ROW][C]33[/C][C]-0.130271[/C][C]-1.0977[/C][C]0.138025[/C][/ROW]
[ROW][C]34[/C][C]0.061715[/C][C]0.52[/C][C]0.302335[/C][/ROW]
[ROW][C]35[/C][C]0.065887[/C][C]0.5552[/C][C]0.290261[/C][/ROW]
[ROW][C]36[/C][C]-0.034604[/C][C]-0.2916[/C][C]0.385729[/C][/ROW]
[ROW][C]37[/C][C]0.046885[/C][C]0.3951[/C][C]0.346992[/C][/ROW]
[ROW][C]38[/C][C]-0.04973[/C][C]-0.419[/C][C]0.338229[/C][/ROW]
[ROW][C]39[/C][C]0.10353[/C][C]0.8724[/C][C]0.192976[/C][/ROW]
[ROW][C]40[/C][C]-0.036653[/C][C]-0.3088[/C][C]0.379172[/C][/ROW]
[ROW][C]41[/C][C]0.024429[/C][C]0.2058[/C][C]0.41875[/C][/ROW]
[ROW][C]42[/C][C]-0.040085[/C][C]-0.3378[/C][C]0.368269[/C][/ROW]
[ROW][C]43[/C][C]-0.05069[/C][C]-0.4271[/C][C]0.335293[/C][/ROW]
[ROW][C]44[/C][C]0.047604[/C][C]0.4011[/C][C]0.34477[/C][/ROW]
[ROW][C]45[/C][C]-0.103646[/C][C]-0.8733[/C][C]0.192713[/C][/ROW]
[ROW][C]46[/C][C]0.032396[/C][C]0.273[/C][C]0.392834[/C][/ROW]
[ROW][C]47[/C][C]-0.000281[/C][C]-0.0024[/C][C]0.499059[/C][/ROW]
[ROW][C]48[/C][C]-0.026471[/C][C]-0.223[/C][C]0.41207[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=40051&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=40051&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
10.3518012.96430.002064
2-0.02927-0.24660.402952
3-0.148113-1.2480.108061
4-0.103772-0.87440.192425
5-0.109798-0.92520.179005
60.1148410.96770.168247
70.0965170.81330.209391
80.0432870.36470.358195
9-0.163528-1.37790.08628
10-0.126127-1.06280.145745
110.1642811.38430.085308
120.0245040.20650.418507
13-0.052139-0.43930.330878
140.091260.7690.222232
15-0.04563-0.38450.350885
160.2632442.21810.014873
170.0768040.64720.259808
180.0018320.01540.493863
190.052170.43960.330785
20-0.135024-1.13770.129529
210.0542920.45750.324364
22-0.038615-0.32540.372927
23-0.162351-1.3680.087814
240.0362680.30560.380403
250.0165080.13910.444884
260.0924080.77860.219388
27-0.128241-1.08060.141772
28-0.073136-0.61630.269849
29-0.042698-0.35980.36004
300.0751370.63310.264346
31-0.037043-0.31210.377928
32-0.142664-1.20210.116658
33-0.130271-1.09770.138025
340.0617150.520.302335
350.0658870.55520.290261
36-0.034604-0.29160.385729
370.0468850.39510.346992
38-0.04973-0.4190.338229
390.103530.87240.192976
40-0.036653-0.30880.379172
410.0244290.20580.41875
42-0.040085-0.33780.368269
43-0.05069-0.42710.335293
440.0476040.40110.34477
45-0.103646-0.87330.192713
460.0323960.2730.392834
47-0.000281-0.00240.499059
48-0.026471-0.2230.41207



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 1 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 1 ;
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')