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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationSat, 09 May 2009 07:30:14 -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/09/t1241875900ibbcdtivx3ob97l.htm/, Retrieved Sun, 05 May 2024 15:38:52 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=39697, Retrieved Sun, 05 May 2024 15:38:52 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact153
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [oef 6bis opgave 2...] [2009-05-09 13:30:14] [2ee75919b5830eac25092adc1951c043] [Current]
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Dataseries X:
356445
291705
310900
332340
257166
334551
317365
270863
317904
423141
317684
411063
371161
299023
326964
327146
303447
351994
320317
257151
320274
476982
301723
363567
338831
265802
307691
334207
303127
318863
292123
245155
284794
391604
304982
369552
356021
247577
277885
294032
310845
311023
298462
234188
297478
371017
291128
316374
326001
222302
227424
255428
278250
280335
241894
255075
255115
319482
270694
300209
283531
218924
236466
267980
219994
256052
230444
200778
240960
277837
209776
232065




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=39697&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=39697&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39697&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
10.3617533.06960.001511
20.2393712.03110.022967
30.4318983.66480.000235
40.1536151.30350.098284
50.1888321.60230.056734
60.467373.96588.5e-05
70.1730951.46880.073127
80.0857350.72750.234643
90.3171072.69070.004429
100.1291.09460.13867
110.1908581.61950.054858
120.6139245.20931e-06
130.159531.35370.09004
140.0500730.42490.336095
150.2344061.9890.025251
16-0.009966-0.08460.46642
170.0107890.09160.463655
180.2436942.06780.021126
190.0275530.23380.407903
20-0.053153-0.4510.326667
210.1409951.19640.117736
22-0.065198-0.55320.290911
23-0.014387-0.12210.451588
240.3052542.59020.005802
25-0.018649-0.15820.437354
26-0.118487-1.00540.159037
270.0540320.45850.323995
28-0.146623-1.24410.108742
29-0.165917-1.40790.081739
300.0170780.14490.442593
31-0.110807-0.94020.175122
32-0.161219-1.3680.087785
33-0.024788-0.21030.416999
34-0.134854-1.14430.128149
35-0.125774-1.06720.144717
360.0775360.65790.256345
37-0.13295-1.12810.131508
38-0.187636-1.59210.057867
39-0.062836-0.53320.297775
40-0.194633-1.65150.051494
41-0.223709-1.89820.030837
42-0.087242-0.74030.23077
43-0.208302-1.76750.040691
44-0.213295-1.80990.037245
45-0.11829-1.00370.159437
46-0.178277-1.51270.067362
47-0.187128-1.58780.058353
48-0.06179-0.52430.300838

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.361753 & 3.0696 & 0.001511 \tabularnewline
2 & 0.239371 & 2.0311 & 0.022967 \tabularnewline
3 & 0.431898 & 3.6648 & 0.000235 \tabularnewline
4 & 0.153615 & 1.3035 & 0.098284 \tabularnewline
5 & 0.188832 & 1.6023 & 0.056734 \tabularnewline
6 & 0.46737 & 3.9658 & 8.5e-05 \tabularnewline
7 & 0.173095 & 1.4688 & 0.073127 \tabularnewline
8 & 0.085735 & 0.7275 & 0.234643 \tabularnewline
9 & 0.317107 & 2.6907 & 0.004429 \tabularnewline
10 & 0.129 & 1.0946 & 0.13867 \tabularnewline
11 & 0.190858 & 1.6195 & 0.054858 \tabularnewline
12 & 0.613924 & 5.2093 & 1e-06 \tabularnewline
13 & 0.15953 & 1.3537 & 0.09004 \tabularnewline
14 & 0.050073 & 0.4249 & 0.336095 \tabularnewline
15 & 0.234406 & 1.989 & 0.025251 \tabularnewline
16 & -0.009966 & -0.0846 & 0.46642 \tabularnewline
17 & 0.010789 & 0.0916 & 0.463655 \tabularnewline
18 & 0.243694 & 2.0678 & 0.021126 \tabularnewline
19 & 0.027553 & 0.2338 & 0.407903 \tabularnewline
20 & -0.053153 & -0.451 & 0.326667 \tabularnewline
21 & 0.140995 & 1.1964 & 0.117736 \tabularnewline
22 & -0.065198 & -0.5532 & 0.290911 \tabularnewline
23 & -0.014387 & -0.1221 & 0.451588 \tabularnewline
24 & 0.305254 & 2.5902 & 0.005802 \tabularnewline
25 & -0.018649 & -0.1582 & 0.437354 \tabularnewline
26 & -0.118487 & -1.0054 & 0.159037 \tabularnewline
27 & 0.054032 & 0.4585 & 0.323995 \tabularnewline
28 & -0.146623 & -1.2441 & 0.108742 \tabularnewline
29 & -0.165917 & -1.4079 & 0.081739 \tabularnewline
30 & 0.017078 & 0.1449 & 0.442593 \tabularnewline
31 & -0.110807 & -0.9402 & 0.175122 \tabularnewline
32 & -0.161219 & -1.368 & 0.087785 \tabularnewline
33 & -0.024788 & -0.2103 & 0.416999 \tabularnewline
34 & -0.134854 & -1.1443 & 0.128149 \tabularnewline
35 & -0.125774 & -1.0672 & 0.144717 \tabularnewline
36 & 0.077536 & 0.6579 & 0.256345 \tabularnewline
37 & -0.13295 & -1.1281 & 0.131508 \tabularnewline
38 & -0.187636 & -1.5921 & 0.057867 \tabularnewline
39 & -0.062836 & -0.5332 & 0.297775 \tabularnewline
40 & -0.194633 & -1.6515 & 0.051494 \tabularnewline
41 & -0.223709 & -1.8982 & 0.030837 \tabularnewline
42 & -0.087242 & -0.7403 & 0.23077 \tabularnewline
43 & -0.208302 & -1.7675 & 0.040691 \tabularnewline
44 & -0.213295 & -1.8099 & 0.037245 \tabularnewline
45 & -0.11829 & -1.0037 & 0.159437 \tabularnewline
46 & -0.178277 & -1.5127 & 0.067362 \tabularnewline
47 & -0.187128 & -1.5878 & 0.058353 \tabularnewline
48 & -0.06179 & -0.5243 & 0.300838 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39697&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]0.361753[/C][C]3.0696[/C][C]0.001511[/C][/ROW]
[ROW][C]2[/C][C]0.239371[/C][C]2.0311[/C][C]0.022967[/C][/ROW]
[ROW][C]3[/C][C]0.431898[/C][C]3.6648[/C][C]0.000235[/C][/ROW]
[ROW][C]4[/C][C]0.153615[/C][C]1.3035[/C][C]0.098284[/C][/ROW]
[ROW][C]5[/C][C]0.188832[/C][C]1.6023[/C][C]0.056734[/C][/ROW]
[ROW][C]6[/C][C]0.46737[/C][C]3.9658[/C][C]8.5e-05[/C][/ROW]
[ROW][C]7[/C][C]0.173095[/C][C]1.4688[/C][C]0.073127[/C][/ROW]
[ROW][C]8[/C][C]0.085735[/C][C]0.7275[/C][C]0.234643[/C][/ROW]
[ROW][C]9[/C][C]0.317107[/C][C]2.6907[/C][C]0.004429[/C][/ROW]
[ROW][C]10[/C][C]0.129[/C][C]1.0946[/C][C]0.13867[/C][/ROW]
[ROW][C]11[/C][C]0.190858[/C][C]1.6195[/C][C]0.054858[/C][/ROW]
[ROW][C]12[/C][C]0.613924[/C][C]5.2093[/C][C]1e-06[/C][/ROW]
[ROW][C]13[/C][C]0.15953[/C][C]1.3537[/C][C]0.09004[/C][/ROW]
[ROW][C]14[/C][C]0.050073[/C][C]0.4249[/C][C]0.336095[/C][/ROW]
[ROW][C]15[/C][C]0.234406[/C][C]1.989[/C][C]0.025251[/C][/ROW]
[ROW][C]16[/C][C]-0.009966[/C][C]-0.0846[/C][C]0.46642[/C][/ROW]
[ROW][C]17[/C][C]0.010789[/C][C]0.0916[/C][C]0.463655[/C][/ROW]
[ROW][C]18[/C][C]0.243694[/C][C]2.0678[/C][C]0.021126[/C][/ROW]
[ROW][C]19[/C][C]0.027553[/C][C]0.2338[/C][C]0.407903[/C][/ROW]
[ROW][C]20[/C][C]-0.053153[/C][C]-0.451[/C][C]0.326667[/C][/ROW]
[ROW][C]21[/C][C]0.140995[/C][C]1.1964[/C][C]0.117736[/C][/ROW]
[ROW][C]22[/C][C]-0.065198[/C][C]-0.5532[/C][C]0.290911[/C][/ROW]
[ROW][C]23[/C][C]-0.014387[/C][C]-0.1221[/C][C]0.451588[/C][/ROW]
[ROW][C]24[/C][C]0.305254[/C][C]2.5902[/C][C]0.005802[/C][/ROW]
[ROW][C]25[/C][C]-0.018649[/C][C]-0.1582[/C][C]0.437354[/C][/ROW]
[ROW][C]26[/C][C]-0.118487[/C][C]-1.0054[/C][C]0.159037[/C][/ROW]
[ROW][C]27[/C][C]0.054032[/C][C]0.4585[/C][C]0.323995[/C][/ROW]
[ROW][C]28[/C][C]-0.146623[/C][C]-1.2441[/C][C]0.108742[/C][/ROW]
[ROW][C]29[/C][C]-0.165917[/C][C]-1.4079[/C][C]0.081739[/C][/ROW]
[ROW][C]30[/C][C]0.017078[/C][C]0.1449[/C][C]0.442593[/C][/ROW]
[ROW][C]31[/C][C]-0.110807[/C][C]-0.9402[/C][C]0.175122[/C][/ROW]
[ROW][C]32[/C][C]-0.161219[/C][C]-1.368[/C][C]0.087785[/C][/ROW]
[ROW][C]33[/C][C]-0.024788[/C][C]-0.2103[/C][C]0.416999[/C][/ROW]
[ROW][C]34[/C][C]-0.134854[/C][C]-1.1443[/C][C]0.128149[/C][/ROW]
[ROW][C]35[/C][C]-0.125774[/C][C]-1.0672[/C][C]0.144717[/C][/ROW]
[ROW][C]36[/C][C]0.077536[/C][C]0.6579[/C][C]0.256345[/C][/ROW]
[ROW][C]37[/C][C]-0.13295[/C][C]-1.1281[/C][C]0.131508[/C][/ROW]
[ROW][C]38[/C][C]-0.187636[/C][C]-1.5921[/C][C]0.057867[/C][/ROW]
[ROW][C]39[/C][C]-0.062836[/C][C]-0.5332[/C][C]0.297775[/C][/ROW]
[ROW][C]40[/C][C]-0.194633[/C][C]-1.6515[/C][C]0.051494[/C][/ROW]
[ROW][C]41[/C][C]-0.223709[/C][C]-1.8982[/C][C]0.030837[/C][/ROW]
[ROW][C]42[/C][C]-0.087242[/C][C]-0.7403[/C][C]0.23077[/C][/ROW]
[ROW][C]43[/C][C]-0.208302[/C][C]-1.7675[/C][C]0.040691[/C][/ROW]
[ROW][C]44[/C][C]-0.213295[/C][C]-1.8099[/C][C]0.037245[/C][/ROW]
[ROW][C]45[/C][C]-0.11829[/C][C]-1.0037[/C][C]0.159437[/C][/ROW]
[ROW][C]46[/C][C]-0.178277[/C][C]-1.5127[/C][C]0.067362[/C][/ROW]
[ROW][C]47[/C][C]-0.187128[/C][C]-1.5878[/C][C]0.058353[/C][/ROW]
[ROW][C]48[/C][C]-0.06179[/C][C]-0.5243[/C][C]0.300838[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39697&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39697&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
10.3617533.06960.001511
20.2393712.03110.022967
30.4318983.66480.000235
40.1536151.30350.098284
50.1888321.60230.056734
60.467373.96588.5e-05
70.1730951.46880.073127
80.0857350.72750.234643
90.3171072.69070.004429
100.1291.09460.13867
110.1908581.61950.054858
120.6139245.20931e-06
130.159531.35370.09004
140.0500730.42490.336095
150.2344061.9890.025251
16-0.009966-0.08460.46642
170.0107890.09160.463655
180.2436942.06780.021126
190.0275530.23380.407903
20-0.053153-0.4510.326667
210.1409951.19640.117736
22-0.065198-0.55320.290911
23-0.014387-0.12210.451588
240.3052542.59020.005802
25-0.018649-0.15820.437354
26-0.118487-1.00540.159037
270.0540320.45850.323995
28-0.146623-1.24410.108742
29-0.165917-1.40790.081739
300.0170780.14490.442593
31-0.110807-0.94020.175122
32-0.161219-1.3680.087785
33-0.024788-0.21030.416999
34-0.134854-1.14430.128149
35-0.125774-1.06720.144717
360.0775360.65790.256345
37-0.13295-1.12810.131508
38-0.187636-1.59210.057867
39-0.062836-0.53320.297775
40-0.194633-1.65150.051494
41-0.223709-1.89820.030837
42-0.087242-0.74030.23077
43-0.208302-1.76750.040691
44-0.213295-1.80990.037245
45-0.11829-1.00370.159437
46-0.178277-1.51270.067362
47-0.187128-1.58780.058353
48-0.06179-0.52430.300838







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.3617533.06960.001511
20.1248441.05930.146494
30.3634373.08390.001448
4-0.131084-1.11230.134859
50.1191881.01130.15762
60.3272222.77660.003499
7-0.097278-0.82540.205926
8-0.098494-0.83580.20303
90.1272121.07940.142
100.0166680.14140.443962
110.1392161.18130.120687
120.4576783.88350.000113
13-0.299141-2.53830.006651
14-0.145178-1.23190.111002
15-0.11385-0.9660.168627
16-0.06203-0.52630.300134
17-0.039056-0.33140.370653
18-0.078784-0.66850.252976
190.0645560.54780.29277
200.0175760.14910.44093
21-0.009877-0.08380.466721
22-0.13648-1.15810.125332
23-0.005847-0.04960.480284
240.0299290.2540.400126
25-0.001197-0.01020.495962
26-0.067319-0.57120.284816
27-0.021984-0.18650.426273
280.0171550.14560.442336
29-0.090419-0.76720.222726
30-0.123205-1.04540.149662
310.0241660.20510.419053
320.077660.6590.256009
33-0.045465-0.38580.350397
340.107350.91090.182694
35-0.027455-0.2330.408225
36-0.070344-0.59690.276227
37-0.067077-0.56920.285508
380.0077470.06570.473884
39-0.016269-0.1380.445295
400.0050310.04270.483034
410.005540.0470.48132
420.0074750.06340.474802
43-0.140727-1.19410.118177
44-0.041978-0.35620.361367
45-0.035299-0.29950.382701
460.016510.14010.44449
47-0.019037-0.16150.436064
48-0.02988-0.25350.400286

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.361753 & 3.0696 & 0.001511 \tabularnewline
2 & 0.124844 & 1.0593 & 0.146494 \tabularnewline
3 & 0.363437 & 3.0839 & 0.001448 \tabularnewline
4 & -0.131084 & -1.1123 & 0.134859 \tabularnewline
5 & 0.119188 & 1.0113 & 0.15762 \tabularnewline
6 & 0.327222 & 2.7766 & 0.003499 \tabularnewline
7 & -0.097278 & -0.8254 & 0.205926 \tabularnewline
8 & -0.098494 & -0.8358 & 0.20303 \tabularnewline
9 & 0.127212 & 1.0794 & 0.142 \tabularnewline
10 & 0.016668 & 0.1414 & 0.443962 \tabularnewline
11 & 0.139216 & 1.1813 & 0.120687 \tabularnewline
12 & 0.457678 & 3.8835 & 0.000113 \tabularnewline
13 & -0.299141 & -2.5383 & 0.006651 \tabularnewline
14 & -0.145178 & -1.2319 & 0.111002 \tabularnewline
15 & -0.11385 & -0.966 & 0.168627 \tabularnewline
16 & -0.06203 & -0.5263 & 0.300134 \tabularnewline
17 & -0.039056 & -0.3314 & 0.370653 \tabularnewline
18 & -0.078784 & -0.6685 & 0.252976 \tabularnewline
19 & 0.064556 & 0.5478 & 0.29277 \tabularnewline
20 & 0.017576 & 0.1491 & 0.44093 \tabularnewline
21 & -0.009877 & -0.0838 & 0.466721 \tabularnewline
22 & -0.13648 & -1.1581 & 0.125332 \tabularnewline
23 & -0.005847 & -0.0496 & 0.480284 \tabularnewline
24 & 0.029929 & 0.254 & 0.400126 \tabularnewline
25 & -0.001197 & -0.0102 & 0.495962 \tabularnewline
26 & -0.067319 & -0.5712 & 0.284816 \tabularnewline
27 & -0.021984 & -0.1865 & 0.426273 \tabularnewline
28 & 0.017155 & 0.1456 & 0.442336 \tabularnewline
29 & -0.090419 & -0.7672 & 0.222726 \tabularnewline
30 & -0.123205 & -1.0454 & 0.149662 \tabularnewline
31 & 0.024166 & 0.2051 & 0.419053 \tabularnewline
32 & 0.07766 & 0.659 & 0.256009 \tabularnewline
33 & -0.045465 & -0.3858 & 0.350397 \tabularnewline
34 & 0.10735 & 0.9109 & 0.182694 \tabularnewline
35 & -0.027455 & -0.233 & 0.408225 \tabularnewline
36 & -0.070344 & -0.5969 & 0.276227 \tabularnewline
37 & -0.067077 & -0.5692 & 0.285508 \tabularnewline
38 & 0.007747 & 0.0657 & 0.473884 \tabularnewline
39 & -0.016269 & -0.138 & 0.445295 \tabularnewline
40 & 0.005031 & 0.0427 & 0.483034 \tabularnewline
41 & 0.00554 & 0.047 & 0.48132 \tabularnewline
42 & 0.007475 & 0.0634 & 0.474802 \tabularnewline
43 & -0.140727 & -1.1941 & 0.118177 \tabularnewline
44 & -0.041978 & -0.3562 & 0.361367 \tabularnewline
45 & -0.035299 & -0.2995 & 0.382701 \tabularnewline
46 & 0.01651 & 0.1401 & 0.44449 \tabularnewline
47 & -0.019037 & -0.1615 & 0.436064 \tabularnewline
48 & -0.02988 & -0.2535 & 0.400286 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39697&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]0.361753[/C][C]3.0696[/C][C]0.001511[/C][/ROW]
[ROW][C]2[/C][C]0.124844[/C][C]1.0593[/C][C]0.146494[/C][/ROW]
[ROW][C]3[/C][C]0.363437[/C][C]3.0839[/C][C]0.001448[/C][/ROW]
[ROW][C]4[/C][C]-0.131084[/C][C]-1.1123[/C][C]0.134859[/C][/ROW]
[ROW][C]5[/C][C]0.119188[/C][C]1.0113[/C][C]0.15762[/C][/ROW]
[ROW][C]6[/C][C]0.327222[/C][C]2.7766[/C][C]0.003499[/C][/ROW]
[ROW][C]7[/C][C]-0.097278[/C][C]-0.8254[/C][C]0.205926[/C][/ROW]
[ROW][C]8[/C][C]-0.098494[/C][C]-0.8358[/C][C]0.20303[/C][/ROW]
[ROW][C]9[/C][C]0.127212[/C][C]1.0794[/C][C]0.142[/C][/ROW]
[ROW][C]10[/C][C]0.016668[/C][C]0.1414[/C][C]0.443962[/C][/ROW]
[ROW][C]11[/C][C]0.139216[/C][C]1.1813[/C][C]0.120687[/C][/ROW]
[ROW][C]12[/C][C]0.457678[/C][C]3.8835[/C][C]0.000113[/C][/ROW]
[ROW][C]13[/C][C]-0.299141[/C][C]-2.5383[/C][C]0.006651[/C][/ROW]
[ROW][C]14[/C][C]-0.145178[/C][C]-1.2319[/C][C]0.111002[/C][/ROW]
[ROW][C]15[/C][C]-0.11385[/C][C]-0.966[/C][C]0.168627[/C][/ROW]
[ROW][C]16[/C][C]-0.06203[/C][C]-0.5263[/C][C]0.300134[/C][/ROW]
[ROW][C]17[/C][C]-0.039056[/C][C]-0.3314[/C][C]0.370653[/C][/ROW]
[ROW][C]18[/C][C]-0.078784[/C][C]-0.6685[/C][C]0.252976[/C][/ROW]
[ROW][C]19[/C][C]0.064556[/C][C]0.5478[/C][C]0.29277[/C][/ROW]
[ROW][C]20[/C][C]0.017576[/C][C]0.1491[/C][C]0.44093[/C][/ROW]
[ROW][C]21[/C][C]-0.009877[/C][C]-0.0838[/C][C]0.466721[/C][/ROW]
[ROW][C]22[/C][C]-0.13648[/C][C]-1.1581[/C][C]0.125332[/C][/ROW]
[ROW][C]23[/C][C]-0.005847[/C][C]-0.0496[/C][C]0.480284[/C][/ROW]
[ROW][C]24[/C][C]0.029929[/C][C]0.254[/C][C]0.400126[/C][/ROW]
[ROW][C]25[/C][C]-0.001197[/C][C]-0.0102[/C][C]0.495962[/C][/ROW]
[ROW][C]26[/C][C]-0.067319[/C][C]-0.5712[/C][C]0.284816[/C][/ROW]
[ROW][C]27[/C][C]-0.021984[/C][C]-0.1865[/C][C]0.426273[/C][/ROW]
[ROW][C]28[/C][C]0.017155[/C][C]0.1456[/C][C]0.442336[/C][/ROW]
[ROW][C]29[/C][C]-0.090419[/C][C]-0.7672[/C][C]0.222726[/C][/ROW]
[ROW][C]30[/C][C]-0.123205[/C][C]-1.0454[/C][C]0.149662[/C][/ROW]
[ROW][C]31[/C][C]0.024166[/C][C]0.2051[/C][C]0.419053[/C][/ROW]
[ROW][C]32[/C][C]0.07766[/C][C]0.659[/C][C]0.256009[/C][/ROW]
[ROW][C]33[/C][C]-0.045465[/C][C]-0.3858[/C][C]0.350397[/C][/ROW]
[ROW][C]34[/C][C]0.10735[/C][C]0.9109[/C][C]0.182694[/C][/ROW]
[ROW][C]35[/C][C]-0.027455[/C][C]-0.233[/C][C]0.408225[/C][/ROW]
[ROW][C]36[/C][C]-0.070344[/C][C]-0.5969[/C][C]0.276227[/C][/ROW]
[ROW][C]37[/C][C]-0.067077[/C][C]-0.5692[/C][C]0.285508[/C][/ROW]
[ROW][C]38[/C][C]0.007747[/C][C]0.0657[/C][C]0.473884[/C][/ROW]
[ROW][C]39[/C][C]-0.016269[/C][C]-0.138[/C][C]0.445295[/C][/ROW]
[ROW][C]40[/C][C]0.005031[/C][C]0.0427[/C][C]0.483034[/C][/ROW]
[ROW][C]41[/C][C]0.00554[/C][C]0.047[/C][C]0.48132[/C][/ROW]
[ROW][C]42[/C][C]0.007475[/C][C]0.0634[/C][C]0.474802[/C][/ROW]
[ROW][C]43[/C][C]-0.140727[/C][C]-1.1941[/C][C]0.118177[/C][/ROW]
[ROW][C]44[/C][C]-0.041978[/C][C]-0.3562[/C][C]0.361367[/C][/ROW]
[ROW][C]45[/C][C]-0.035299[/C][C]-0.2995[/C][C]0.382701[/C][/ROW]
[ROW][C]46[/C][C]0.01651[/C][C]0.1401[/C][C]0.44449[/C][/ROW]
[ROW][C]47[/C][C]-0.019037[/C][C]-0.1615[/C][C]0.436064[/C][/ROW]
[ROW][C]48[/C][C]-0.02988[/C][C]-0.2535[/C][C]0.400286[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39697&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39697&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
10.3617533.06960.001511
20.1248441.05930.146494
30.3634373.08390.001448
4-0.131084-1.11230.134859
50.1191881.01130.15762
60.3272222.77660.003499
7-0.097278-0.82540.205926
8-0.098494-0.83580.20303
90.1272121.07940.142
100.0166680.14140.443962
110.1392161.18130.120687
120.4576783.88350.000113
13-0.299141-2.53830.006651
14-0.145178-1.23190.111002
15-0.11385-0.9660.168627
16-0.06203-0.52630.300134
17-0.039056-0.33140.370653
18-0.078784-0.66850.252976
190.0645560.54780.29277
200.0175760.14910.44093
21-0.009877-0.08380.466721
22-0.13648-1.15810.125332
23-0.005847-0.04960.480284
240.0299290.2540.400126
25-0.001197-0.01020.495962
26-0.067319-0.57120.284816
27-0.021984-0.18650.426273
280.0171550.14560.442336
29-0.090419-0.76720.222726
30-0.123205-1.04540.149662
310.0241660.20510.419053
320.077660.6590.256009
33-0.045465-0.38580.350397
340.107350.91090.182694
35-0.027455-0.2330.408225
36-0.070344-0.59690.276227
37-0.067077-0.56920.285508
380.0077470.06570.473884
39-0.016269-0.1380.445295
400.0050310.04270.483034
410.005540.0470.48132
420.0074750.06340.474802
43-0.140727-1.19410.118177
44-0.041978-0.35620.361367
45-0.035299-0.29950.382701
460.016510.14010.44449
47-0.019037-0.16150.436064
48-0.02988-0.25350.400286



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')