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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationMon, 08 Dec 2008 11:50:21 -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/2008/Dec/08/t1228762271n3a3cr011pq7xiz.htm/, Retrieved Thu, 16 May 2024 05:05:07 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=30693, Retrieved Thu, 16 May 2024 05:05:07 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsARMA proces WS5 Q2: ACF
Estimated Impact174
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [data set] [2008-12-01 19:54:57] [b98453cac15ba1066b407e146608df68]
F RMP   [Standard Deviation-Mean Plot] [ARMA proces WS5 Q...] [2008-12-08 18:26:08] [47f64d63202c1921bd27f3073f07a153]
F RM      [Variance Reduction Matrix] [ARMA proces WS5 Q...] [2008-12-08 18:38:24] [47f64d63202c1921bd27f3073f07a153]
- RMP       [(Partial) Autocorrelation Function] [ARMA proces WS5 Q...] [2008-12-08 18:44:52] [47f64d63202c1921bd27f3073f07a153]
-   P           [(Partial) Autocorrelation Function] [ARMA proces WS5 Q...] [2008-12-08 18:50:21] [74c7506a1ea162af3aa8be25bcd05d28] [Current]
F   P             [(Partial) Autocorrelation Function] [ARMA proces WS5 Q...] [2008-12-08 18:53:02] [47f64d63202c1921bd27f3073f07a153]
-   P               [(Partial) Autocorrelation Function] [ARMA proces WS5 Q...] [2008-12-08 18:57:23] [47f64d63202c1921bd27f3073f07a153]
F RMP                 [Spectral Analysis] [ARMA proces WS5 Q...] [2008-12-08 19:01:20] [47f64d63202c1921bd27f3073f07a153]
F   P                   [Spectral Analysis] [ARMA proces WS5 Q...] [2008-12-08 19:03:44] [47f64d63202c1921bd27f3073f07a153]
F   P                     [Spectral Analysis] [ARMA proces WS5 Q...] [2008-12-08 19:04:59] [47f64d63202c1921bd27f3073f07a153]
-                           [Spectral Analysis] [ARMA proces WS5 Q...] [2008-12-08 19:28:19] [47f64d63202c1921bd27f3073f07a153]
F RM                          [(Partial) Autocorrelation Function] [ARMA proces WS5 Q...] [2008-12-08 19:32:37] [47f64d63202c1921bd27f3073f07a153]
F RM                            [ARIMA Backward Selection] [ARMA proces WS5 Q...] [2008-12-08 20:01:06] [47f64d63202c1921bd27f3073f07a153]
-   P             [(Partial) Autocorrelation Function] [ARMA processen WS...] [2008-12-09 09:09:27] [47f64d63202c1921bd27f3073f07a153]
-   P               [(Partial) Autocorrelation Function] [arma processen WS...] [2008-12-09 09:13:18] [47f64d63202c1921bd27f3073f07a153]
F   P                 [(Partial) Autocorrelation Function] [arma processen WS...] [2008-12-09 09:15:04] [47f64d63202c1921bd27f3073f07a153]
F   P                 [(Partial) Autocorrelation Function] [arma processen WS...] [2008-12-09 15:37:32] [47f64d63202c1921bd27f3073f07a153]
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Dataseries X:
235.1
280.7
264.6
240.7
201.4
240.8
241.1
223.8
206.1
174.7
203.3
220.5
299.5
347.4
338.3
327.7
351.6
396.6
438.8
395.6
363.5
378.8
357
369
464.8
479.1
431.3
366.5
326.3
355.1
331.6
261.3
249
205.5
235.6
240.9
264.9
253.8
232.3
193.8
177
213.2
207.2
180.6
188.6
175.4
199
179.6
225.8
234
200.2
183.6
178.2
203.2
208.5
191.8
172.8
148
159.4
154.5
213.2
196.4
182.8
176.4
153.6
173.2
171
151.2
161.9
157.2
201.7
236.4
356.1
398.3
403.7
384.6
365.8
368.1
367.9
347
343.3
292.9
311.5
300.9
366.9
356.9
329.7
316.2
269
289.3
266.2
253.6
233.8
228.4
253.6
260.1
306.6
309.2
309.5
271
279.9
317.9
298.4
246.7
227.3
209.1
259.9
266
320.6
308.5
282.2
262.7
263.5
313.1
284.3
252.6
250.3
246.5
312.7
333.2
446.4
511.6
515.5
506.4
483.2
522.3
509.8
460.7
405.8
375
378.5
406.8
467.8
469.8
429.8
355.8
332.7
378
360.5
334.7
319.5
323.1
363.6
352.1
411.9
388.6
416.4
360.7
338
417.2
388.4
371.1
331.5
353.7
396.7
447
533.5
565.4
542.3
488.7
467.1
531.3
496.1
444
403.4
386.3
394.1
404.1
462.1
448.1
432.3
386.3
395.2
421.9
382.9
384.2
345.5
323.4
372.6
376
462.7
487
444.2
399.3
394.9
455.4
414
375.5
347
339.4
385.8
378.8
451.8
446.1
422.5
383.1
352.8
445.3
367.5
355.1
326.2
319.8
331.8
340.9
394.1
417.2
369.9
349.2
321.4
405.7
342.9
316.5
284.2
270.9
288.8
278.8
324.4
310.9
299
273
279.3
359.2
305
282.1
250.3
246.5
257.9
266.5
315.9
318.4
295.4
266.4
245.8
362.8
324.9
294.2
289.5
295.2
290.3
272
307.4
328.7
292.9
249.1
230.4
361.5
321.7
277.2
260.7
251
257.6
241.8
287.5
292.3
274.7
254.2
230
339
318.2
287
295.8
284
271
262.7
340.6
379.4
373.3
355.2
338.4
466.9
451
422
429.2
425.9
460.7
463.6
541.4
544.2
517.5
469.4
439.4
549
533
506.1
484
457
481.5
469.5
544.7
541.2
521.5
469.7
434.4
542.6
517.3
485.7
465.8
447
426.6
411.6
467.5
484.5
451.2
417.4
379.9
484.7
455
420.8
416.5
376.3
405.6
405.8
500.8
514
475.5
430.1
414.4
538
526
488.5
520.2
504.4
568.5
610.6
818
830.9
835.9
782
762.3
856.9
820.9
769.6
752.2
724.4
723.1
719.5
817.4
803.3
752.5
689
630.4
765.5
757.7
732.2
702.6
683.3
709.5
702.2
784.8
810.9
755.6
656.8
615.1
745.3
694.1
675.7
643.7
622.1
634.6
588
689.7
673.9
647.9
568.8
545.7
632.6
643.8
593.1
579.7
546
562.9
572.5




Summary of computational 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 computational 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=30693&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]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=30693&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=30693&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 time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.95302918.38140
20.90590517.47250
30.86694116.7210
40.84824316.36030
50.83616316.12730
60.80342815.4960
70.78038415.05150
80.73907414.25470
90.70755713.64690
100.69730913.44920
110.70143813.52880
120.70586813.61430
130.65014312.53950
140.59770811.52820
150.55911710.78390
160.5444710.50140
170.54201310.4540
180.52401410.10680
190.51852310.00090
200.4949439.54610
210.4814829.28650
220.4903659.45780
230.509549.82760
240.530910.23960
250.4926199.50130
260.4552548.78060
270.4291158.27650
280.4234718.16760
290.4256968.21050
300.4105657.91870
310.4051847.81490
320.3812247.35280
330.3691997.12080
340.375547.24320
350.3931577.58290
360.4132397.97030
370.3752617.23780
380.3387766.53410
390.312056.01860
400.3054895.89210
410.3082775.94580
420.296065.71020
430.2937885.66640
440.2750555.30510
450.2682295.17340
460.2809515.41880
470.3046775.87640
480.3264046.29540
490.2933765.65840
500.2601315.01720
510.235584.54374e-06
520.229414.42476e-06
530.2310224.45586e-06
540.2140264.1282.3e-05
550.2063533.984.1e-05
560.1805073.48150.000279
570.1647553.17770.000804
580.1648753.180.000798
590.1732883.34230.000458
600.1799083.46990.000291

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.953029 & 18.3814 & 0 \tabularnewline
2 & 0.905905 & 17.4725 & 0 \tabularnewline
3 & 0.866941 & 16.721 & 0 \tabularnewline
4 & 0.848243 & 16.3603 & 0 \tabularnewline
5 & 0.836163 & 16.1273 & 0 \tabularnewline
6 & 0.803428 & 15.496 & 0 \tabularnewline
7 & 0.780384 & 15.0515 & 0 \tabularnewline
8 & 0.739074 & 14.2547 & 0 \tabularnewline
9 & 0.707557 & 13.6469 & 0 \tabularnewline
10 & 0.697309 & 13.4492 & 0 \tabularnewline
11 & 0.701438 & 13.5288 & 0 \tabularnewline
12 & 0.705868 & 13.6143 & 0 \tabularnewline
13 & 0.650143 & 12.5395 & 0 \tabularnewline
14 & 0.597708 & 11.5282 & 0 \tabularnewline
15 & 0.559117 & 10.7839 & 0 \tabularnewline
16 & 0.54447 & 10.5014 & 0 \tabularnewline
17 & 0.542013 & 10.454 & 0 \tabularnewline
18 & 0.524014 & 10.1068 & 0 \tabularnewline
19 & 0.518523 & 10.0009 & 0 \tabularnewline
20 & 0.494943 & 9.5461 & 0 \tabularnewline
21 & 0.481482 & 9.2865 & 0 \tabularnewline
22 & 0.490365 & 9.4578 & 0 \tabularnewline
23 & 0.50954 & 9.8276 & 0 \tabularnewline
24 & 0.5309 & 10.2396 & 0 \tabularnewline
25 & 0.492619 & 9.5013 & 0 \tabularnewline
26 & 0.455254 & 8.7806 & 0 \tabularnewline
27 & 0.429115 & 8.2765 & 0 \tabularnewline
28 & 0.423471 & 8.1676 & 0 \tabularnewline
29 & 0.425696 & 8.2105 & 0 \tabularnewline
30 & 0.410565 & 7.9187 & 0 \tabularnewline
31 & 0.405184 & 7.8149 & 0 \tabularnewline
32 & 0.381224 & 7.3528 & 0 \tabularnewline
33 & 0.369199 & 7.1208 & 0 \tabularnewline
34 & 0.37554 & 7.2432 & 0 \tabularnewline
35 & 0.393157 & 7.5829 & 0 \tabularnewline
36 & 0.413239 & 7.9703 & 0 \tabularnewline
37 & 0.375261 & 7.2378 & 0 \tabularnewline
38 & 0.338776 & 6.5341 & 0 \tabularnewline
39 & 0.31205 & 6.0186 & 0 \tabularnewline
40 & 0.305489 & 5.8921 & 0 \tabularnewline
41 & 0.308277 & 5.9458 & 0 \tabularnewline
42 & 0.29606 & 5.7102 & 0 \tabularnewline
43 & 0.293788 & 5.6664 & 0 \tabularnewline
44 & 0.275055 & 5.3051 & 0 \tabularnewline
45 & 0.268229 & 5.1734 & 0 \tabularnewline
46 & 0.280951 & 5.4188 & 0 \tabularnewline
47 & 0.304677 & 5.8764 & 0 \tabularnewline
48 & 0.326404 & 6.2954 & 0 \tabularnewline
49 & 0.293376 & 5.6584 & 0 \tabularnewline
50 & 0.260131 & 5.0172 & 0 \tabularnewline
51 & 0.23558 & 4.5437 & 4e-06 \tabularnewline
52 & 0.22941 & 4.4247 & 6e-06 \tabularnewline
53 & 0.231022 & 4.4558 & 6e-06 \tabularnewline
54 & 0.214026 & 4.128 & 2.3e-05 \tabularnewline
55 & 0.206353 & 3.98 & 4.1e-05 \tabularnewline
56 & 0.180507 & 3.4815 & 0.000279 \tabularnewline
57 & 0.164755 & 3.1777 & 0.000804 \tabularnewline
58 & 0.164875 & 3.18 & 0.000798 \tabularnewline
59 & 0.173288 & 3.3423 & 0.000458 \tabularnewline
60 & 0.179908 & 3.4699 & 0.000291 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=30693&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]0.953029[/C][C]18.3814[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.905905[/C][C]17.4725[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.866941[/C][C]16.721[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.848243[/C][C]16.3603[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.836163[/C][C]16.1273[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.803428[/C][C]15.496[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.780384[/C][C]15.0515[/C][C]0[/C][/ROW]
[ROW][C]8[/C][C]0.739074[/C][C]14.2547[/C][C]0[/C][/ROW]
[ROW][C]9[/C][C]0.707557[/C][C]13.6469[/C][C]0[/C][/ROW]
[ROW][C]10[/C][C]0.697309[/C][C]13.4492[/C][C]0[/C][/ROW]
[ROW][C]11[/C][C]0.701438[/C][C]13.5288[/C][C]0[/C][/ROW]
[ROW][C]12[/C][C]0.705868[/C][C]13.6143[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.650143[/C][C]12.5395[/C][C]0[/C][/ROW]
[ROW][C]14[/C][C]0.597708[/C][C]11.5282[/C][C]0[/C][/ROW]
[ROW][C]15[/C][C]0.559117[/C][C]10.7839[/C][C]0[/C][/ROW]
[ROW][C]16[/C][C]0.54447[/C][C]10.5014[/C][C]0[/C][/ROW]
[ROW][C]17[/C][C]0.542013[/C][C]10.454[/C][C]0[/C][/ROW]
[ROW][C]18[/C][C]0.524014[/C][C]10.1068[/C][C]0[/C][/ROW]
[ROW][C]19[/C][C]0.518523[/C][C]10.0009[/C][C]0[/C][/ROW]
[ROW][C]20[/C][C]0.494943[/C][C]9.5461[/C][C]0[/C][/ROW]
[ROW][C]21[/C][C]0.481482[/C][C]9.2865[/C][C]0[/C][/ROW]
[ROW][C]22[/C][C]0.490365[/C][C]9.4578[/C][C]0[/C][/ROW]
[ROW][C]23[/C][C]0.50954[/C][C]9.8276[/C][C]0[/C][/ROW]
[ROW][C]24[/C][C]0.5309[/C][C]10.2396[/C][C]0[/C][/ROW]
[ROW][C]25[/C][C]0.492619[/C][C]9.5013[/C][C]0[/C][/ROW]
[ROW][C]26[/C][C]0.455254[/C][C]8.7806[/C][C]0[/C][/ROW]
[ROW][C]27[/C][C]0.429115[/C][C]8.2765[/C][C]0[/C][/ROW]
[ROW][C]28[/C][C]0.423471[/C][C]8.1676[/C][C]0[/C][/ROW]
[ROW][C]29[/C][C]0.425696[/C][C]8.2105[/C][C]0[/C][/ROW]
[ROW][C]30[/C][C]0.410565[/C][C]7.9187[/C][C]0[/C][/ROW]
[ROW][C]31[/C][C]0.405184[/C][C]7.8149[/C][C]0[/C][/ROW]
[ROW][C]32[/C][C]0.381224[/C][C]7.3528[/C][C]0[/C][/ROW]
[ROW][C]33[/C][C]0.369199[/C][C]7.1208[/C][C]0[/C][/ROW]
[ROW][C]34[/C][C]0.37554[/C][C]7.2432[/C][C]0[/C][/ROW]
[ROW][C]35[/C][C]0.393157[/C][C]7.5829[/C][C]0[/C][/ROW]
[ROW][C]36[/C][C]0.413239[/C][C]7.9703[/C][C]0[/C][/ROW]
[ROW][C]37[/C][C]0.375261[/C][C]7.2378[/C][C]0[/C][/ROW]
[ROW][C]38[/C][C]0.338776[/C][C]6.5341[/C][C]0[/C][/ROW]
[ROW][C]39[/C][C]0.31205[/C][C]6.0186[/C][C]0[/C][/ROW]
[ROW][C]40[/C][C]0.305489[/C][C]5.8921[/C][C]0[/C][/ROW]
[ROW][C]41[/C][C]0.308277[/C][C]5.9458[/C][C]0[/C][/ROW]
[ROW][C]42[/C][C]0.29606[/C][C]5.7102[/C][C]0[/C][/ROW]
[ROW][C]43[/C][C]0.293788[/C][C]5.6664[/C][C]0[/C][/ROW]
[ROW][C]44[/C][C]0.275055[/C][C]5.3051[/C][C]0[/C][/ROW]
[ROW][C]45[/C][C]0.268229[/C][C]5.1734[/C][C]0[/C][/ROW]
[ROW][C]46[/C][C]0.280951[/C][C]5.4188[/C][C]0[/C][/ROW]
[ROW][C]47[/C][C]0.304677[/C][C]5.8764[/C][C]0[/C][/ROW]
[ROW][C]48[/C][C]0.326404[/C][C]6.2954[/C][C]0[/C][/ROW]
[ROW][C]49[/C][C]0.293376[/C][C]5.6584[/C][C]0[/C][/ROW]
[ROW][C]50[/C][C]0.260131[/C][C]5.0172[/C][C]0[/C][/ROW]
[ROW][C]51[/C][C]0.23558[/C][C]4.5437[/C][C]4e-06[/C][/ROW]
[ROW][C]52[/C][C]0.22941[/C][C]4.4247[/C][C]6e-06[/C][/ROW]
[ROW][C]53[/C][C]0.231022[/C][C]4.4558[/C][C]6e-06[/C][/ROW]
[ROW][C]54[/C][C]0.214026[/C][C]4.128[/C][C]2.3e-05[/C][/ROW]
[ROW][C]55[/C][C]0.206353[/C][C]3.98[/C][C]4.1e-05[/C][/ROW]
[ROW][C]56[/C][C]0.180507[/C][C]3.4815[/C][C]0.000279[/C][/ROW]
[ROW][C]57[/C][C]0.164755[/C][C]3.1777[/C][C]0.000804[/C][/ROW]
[ROW][C]58[/C][C]0.164875[/C][C]3.18[/C][C]0.000798[/C][/ROW]
[ROW][C]59[/C][C]0.173288[/C][C]3.3423[/C][C]0.000458[/C][/ROW]
[ROW][C]60[/C][C]0.179908[/C][C]3.4699[/C][C]0.000291[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=30693&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=30693&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
10.95302918.38140
20.90590517.47250
30.86694116.7210
40.84824316.36030
50.83616316.12730
60.80342815.4960
70.78038415.05150
80.73907414.25470
90.70755713.64690
100.69730913.44920
110.70143813.52880
120.70586813.61430
130.65014312.53950
140.59770811.52820
150.55911710.78390
160.5444710.50140
170.54201310.4540
180.52401410.10680
190.51852310.00090
200.4949439.54610
210.4814829.28650
220.4903659.45780
230.509549.82760
240.530910.23960
250.4926199.50130
260.4552548.78060
270.4291158.27650
280.4234718.16760
290.4256968.21050
300.4105657.91870
310.4051847.81490
320.3812247.35280
330.3691997.12080
340.375547.24320
350.3931577.58290
360.4132397.97030
370.3752617.23780
380.3387766.53410
390.312056.01860
400.3054895.89210
410.3082775.94580
420.296065.71020
430.2937885.66640
440.2750555.30510
450.2682295.17340
460.2809515.41880
470.3046775.87640
480.3264046.29540
490.2933765.65840
500.2601315.01720
510.235584.54374e-06
520.229414.42476e-06
530.2310224.45586e-06
540.2140264.1282.3e-05
550.2063533.984.1e-05
560.1805073.48150.000279
570.1647553.17770.000804
580.1648753.180.000798
590.1732883.34230.000458
600.1799083.46990.000291







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.95302918.38140
2-0.025716-0.4960.310095
30.0642851.23990.107901
40.2004623.86646.5e-05
50.0733211.41420.079076
6-0.203911-3.93295e-05
70.1545272.98040.001534
8-0.232935-4.49275e-06
90.0432520.83420.202348
100.2448234.7222e-06
110.1412312.7240.003377
12-0.026246-0.50620.306502
13-0.55096-10.62650
140.0418690.80750.209937
150.1317432.5410.00573
160.0941421.81580.035107
170.1473842.84260.00236
180.0490.94510.172619
190.1150292.21860.013559
20-0.048429-0.93410.175436
21-0.001037-0.020.492025
220.097841.88710.029964
23-0.048905-0.94320.173084
240.0705171.36010.087315
25-0.284097-5.47950
26-0.028151-0.5430.293741
270.0473130.91250.181037
280.0082990.16010.436455
29-0.013165-0.25390.399846
300.0125140.24140.404702
310.043310.83530.202036
320.0099950.19280.423617
330.0803871.55040.060943
340.0074660.1440.442786
350.0149530.28840.386598
360.0575681.11030.133788
37-0.202874-3.91295.4e-05
38-0.010231-0.19730.421839
39-0.001218-0.02350.490634
40-0.009231-0.1780.429394
410.0304970.58820.278375
420.0612441.18120.119133
430.0232820.4490.326832
440.0237610.45830.323507
450.0417240.80470.21074
460.0280720.54140.294269
47-0.00663-0.12790.449155
48-0.074431-1.43560.075981
49-0.095985-1.85130.03246
50-0.034802-0.67120.251242
51-0.006269-0.12090.451913
52-0.020787-0.40090.344355
530.0012330.02380.490523
54-0.058007-1.11880.131974
550.0053240.10270.459133
56-0.000266-0.00510.497957
57-0.030523-0.58870.278209
58-0.056019-1.08050.14032
59-0.018042-0.3480.364026
60-0.033445-0.64510.259642

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.953029 & 18.3814 & 0 \tabularnewline
2 & -0.025716 & -0.496 & 0.310095 \tabularnewline
3 & 0.064285 & 1.2399 & 0.107901 \tabularnewline
4 & 0.200462 & 3.8664 & 6.5e-05 \tabularnewline
5 & 0.073321 & 1.4142 & 0.079076 \tabularnewline
6 & -0.203911 & -3.9329 & 5e-05 \tabularnewline
7 & 0.154527 & 2.9804 & 0.001534 \tabularnewline
8 & -0.232935 & -4.4927 & 5e-06 \tabularnewline
9 & 0.043252 & 0.8342 & 0.202348 \tabularnewline
10 & 0.244823 & 4.722 & 2e-06 \tabularnewline
11 & 0.141231 & 2.724 & 0.003377 \tabularnewline
12 & -0.026246 & -0.5062 & 0.306502 \tabularnewline
13 & -0.55096 & -10.6265 & 0 \tabularnewline
14 & 0.041869 & 0.8075 & 0.209937 \tabularnewline
15 & 0.131743 & 2.541 & 0.00573 \tabularnewline
16 & 0.094142 & 1.8158 & 0.035107 \tabularnewline
17 & 0.147384 & 2.8426 & 0.00236 \tabularnewline
18 & 0.049 & 0.9451 & 0.172619 \tabularnewline
19 & 0.115029 & 2.2186 & 0.013559 \tabularnewline
20 & -0.048429 & -0.9341 & 0.175436 \tabularnewline
21 & -0.001037 & -0.02 & 0.492025 \tabularnewline
22 & 0.09784 & 1.8871 & 0.029964 \tabularnewline
23 & -0.048905 & -0.9432 & 0.173084 \tabularnewline
24 & 0.070517 & 1.3601 & 0.087315 \tabularnewline
25 & -0.284097 & -5.4795 & 0 \tabularnewline
26 & -0.028151 & -0.543 & 0.293741 \tabularnewline
27 & 0.047313 & 0.9125 & 0.181037 \tabularnewline
28 & 0.008299 & 0.1601 & 0.436455 \tabularnewline
29 & -0.013165 & -0.2539 & 0.399846 \tabularnewline
30 & 0.012514 & 0.2414 & 0.404702 \tabularnewline
31 & 0.04331 & 0.8353 & 0.202036 \tabularnewline
32 & 0.009995 & 0.1928 & 0.423617 \tabularnewline
33 & 0.080387 & 1.5504 & 0.060943 \tabularnewline
34 & 0.007466 & 0.144 & 0.442786 \tabularnewline
35 & 0.014953 & 0.2884 & 0.386598 \tabularnewline
36 & 0.057568 & 1.1103 & 0.133788 \tabularnewline
37 & -0.202874 & -3.9129 & 5.4e-05 \tabularnewline
38 & -0.010231 & -0.1973 & 0.421839 \tabularnewline
39 & -0.001218 & -0.0235 & 0.490634 \tabularnewline
40 & -0.009231 & -0.178 & 0.429394 \tabularnewline
41 & 0.030497 & 0.5882 & 0.278375 \tabularnewline
42 & 0.061244 & 1.1812 & 0.119133 \tabularnewline
43 & 0.023282 & 0.449 & 0.326832 \tabularnewline
44 & 0.023761 & 0.4583 & 0.323507 \tabularnewline
45 & 0.041724 & 0.8047 & 0.21074 \tabularnewline
46 & 0.028072 & 0.5414 & 0.294269 \tabularnewline
47 & -0.00663 & -0.1279 & 0.449155 \tabularnewline
48 & -0.074431 & -1.4356 & 0.075981 \tabularnewline
49 & -0.095985 & -1.8513 & 0.03246 \tabularnewline
50 & -0.034802 & -0.6712 & 0.251242 \tabularnewline
51 & -0.006269 & -0.1209 & 0.451913 \tabularnewline
52 & -0.020787 & -0.4009 & 0.344355 \tabularnewline
53 & 0.001233 & 0.0238 & 0.490523 \tabularnewline
54 & -0.058007 & -1.1188 & 0.131974 \tabularnewline
55 & 0.005324 & 0.1027 & 0.459133 \tabularnewline
56 & -0.000266 & -0.0051 & 0.497957 \tabularnewline
57 & -0.030523 & -0.5887 & 0.278209 \tabularnewline
58 & -0.056019 & -1.0805 & 0.14032 \tabularnewline
59 & -0.018042 & -0.348 & 0.364026 \tabularnewline
60 & -0.033445 & -0.6451 & 0.259642 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=30693&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]0.953029[/C][C]18.3814[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.025716[/C][C]-0.496[/C][C]0.310095[/C][/ROW]
[ROW][C]3[/C][C]0.064285[/C][C]1.2399[/C][C]0.107901[/C][/ROW]
[ROW][C]4[/C][C]0.200462[/C][C]3.8664[/C][C]6.5e-05[/C][/ROW]
[ROW][C]5[/C][C]0.073321[/C][C]1.4142[/C][C]0.079076[/C][/ROW]
[ROW][C]6[/C][C]-0.203911[/C][C]-3.9329[/C][C]5e-05[/C][/ROW]
[ROW][C]7[/C][C]0.154527[/C][C]2.9804[/C][C]0.001534[/C][/ROW]
[ROW][C]8[/C][C]-0.232935[/C][C]-4.4927[/C][C]5e-06[/C][/ROW]
[ROW][C]9[/C][C]0.043252[/C][C]0.8342[/C][C]0.202348[/C][/ROW]
[ROW][C]10[/C][C]0.244823[/C][C]4.722[/C][C]2e-06[/C][/ROW]
[ROW][C]11[/C][C]0.141231[/C][C]2.724[/C][C]0.003377[/C][/ROW]
[ROW][C]12[/C][C]-0.026246[/C][C]-0.5062[/C][C]0.306502[/C][/ROW]
[ROW][C]13[/C][C]-0.55096[/C][C]-10.6265[/C][C]0[/C][/ROW]
[ROW][C]14[/C][C]0.041869[/C][C]0.8075[/C][C]0.209937[/C][/ROW]
[ROW][C]15[/C][C]0.131743[/C][C]2.541[/C][C]0.00573[/C][/ROW]
[ROW][C]16[/C][C]0.094142[/C][C]1.8158[/C][C]0.035107[/C][/ROW]
[ROW][C]17[/C][C]0.147384[/C][C]2.8426[/C][C]0.00236[/C][/ROW]
[ROW][C]18[/C][C]0.049[/C][C]0.9451[/C][C]0.172619[/C][/ROW]
[ROW][C]19[/C][C]0.115029[/C][C]2.2186[/C][C]0.013559[/C][/ROW]
[ROW][C]20[/C][C]-0.048429[/C][C]-0.9341[/C][C]0.175436[/C][/ROW]
[ROW][C]21[/C][C]-0.001037[/C][C]-0.02[/C][C]0.492025[/C][/ROW]
[ROW][C]22[/C][C]0.09784[/C][C]1.8871[/C][C]0.029964[/C][/ROW]
[ROW][C]23[/C][C]-0.048905[/C][C]-0.9432[/C][C]0.173084[/C][/ROW]
[ROW][C]24[/C][C]0.070517[/C][C]1.3601[/C][C]0.087315[/C][/ROW]
[ROW][C]25[/C][C]-0.284097[/C][C]-5.4795[/C][C]0[/C][/ROW]
[ROW][C]26[/C][C]-0.028151[/C][C]-0.543[/C][C]0.293741[/C][/ROW]
[ROW][C]27[/C][C]0.047313[/C][C]0.9125[/C][C]0.181037[/C][/ROW]
[ROW][C]28[/C][C]0.008299[/C][C]0.1601[/C][C]0.436455[/C][/ROW]
[ROW][C]29[/C][C]-0.013165[/C][C]-0.2539[/C][C]0.399846[/C][/ROW]
[ROW][C]30[/C][C]0.012514[/C][C]0.2414[/C][C]0.404702[/C][/ROW]
[ROW][C]31[/C][C]0.04331[/C][C]0.8353[/C][C]0.202036[/C][/ROW]
[ROW][C]32[/C][C]0.009995[/C][C]0.1928[/C][C]0.423617[/C][/ROW]
[ROW][C]33[/C][C]0.080387[/C][C]1.5504[/C][C]0.060943[/C][/ROW]
[ROW][C]34[/C][C]0.007466[/C][C]0.144[/C][C]0.442786[/C][/ROW]
[ROW][C]35[/C][C]0.014953[/C][C]0.2884[/C][C]0.386598[/C][/ROW]
[ROW][C]36[/C][C]0.057568[/C][C]1.1103[/C][C]0.133788[/C][/ROW]
[ROW][C]37[/C][C]-0.202874[/C][C]-3.9129[/C][C]5.4e-05[/C][/ROW]
[ROW][C]38[/C][C]-0.010231[/C][C]-0.1973[/C][C]0.421839[/C][/ROW]
[ROW][C]39[/C][C]-0.001218[/C][C]-0.0235[/C][C]0.490634[/C][/ROW]
[ROW][C]40[/C][C]-0.009231[/C][C]-0.178[/C][C]0.429394[/C][/ROW]
[ROW][C]41[/C][C]0.030497[/C][C]0.5882[/C][C]0.278375[/C][/ROW]
[ROW][C]42[/C][C]0.061244[/C][C]1.1812[/C][C]0.119133[/C][/ROW]
[ROW][C]43[/C][C]0.023282[/C][C]0.449[/C][C]0.326832[/C][/ROW]
[ROW][C]44[/C][C]0.023761[/C][C]0.4583[/C][C]0.323507[/C][/ROW]
[ROW][C]45[/C][C]0.041724[/C][C]0.8047[/C][C]0.21074[/C][/ROW]
[ROW][C]46[/C][C]0.028072[/C][C]0.5414[/C][C]0.294269[/C][/ROW]
[ROW][C]47[/C][C]-0.00663[/C][C]-0.1279[/C][C]0.449155[/C][/ROW]
[ROW][C]48[/C][C]-0.074431[/C][C]-1.4356[/C][C]0.075981[/C][/ROW]
[ROW][C]49[/C][C]-0.095985[/C][C]-1.8513[/C][C]0.03246[/C][/ROW]
[ROW][C]50[/C][C]-0.034802[/C][C]-0.6712[/C][C]0.251242[/C][/ROW]
[ROW][C]51[/C][C]-0.006269[/C][C]-0.1209[/C][C]0.451913[/C][/ROW]
[ROW][C]52[/C][C]-0.020787[/C][C]-0.4009[/C][C]0.344355[/C][/ROW]
[ROW][C]53[/C][C]0.001233[/C][C]0.0238[/C][C]0.490523[/C][/ROW]
[ROW][C]54[/C][C]-0.058007[/C][C]-1.1188[/C][C]0.131974[/C][/ROW]
[ROW][C]55[/C][C]0.005324[/C][C]0.1027[/C][C]0.459133[/C][/ROW]
[ROW][C]56[/C][C]-0.000266[/C][C]-0.0051[/C][C]0.497957[/C][/ROW]
[ROW][C]57[/C][C]-0.030523[/C][C]-0.5887[/C][C]0.278209[/C][/ROW]
[ROW][C]58[/C][C]-0.056019[/C][C]-1.0805[/C][C]0.14032[/C][/ROW]
[ROW][C]59[/C][C]-0.018042[/C][C]-0.348[/C][C]0.364026[/C][/ROW]
[ROW][C]60[/C][C]-0.033445[/C][C]-0.6451[/C][C]0.259642[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=30693&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=30693&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
10.95302918.38140
2-0.025716-0.4960.310095
30.0642851.23990.107901
40.2004623.86646.5e-05
50.0733211.41420.079076
6-0.203911-3.93295e-05
70.1545272.98040.001534
8-0.232935-4.49275e-06
90.0432520.83420.202348
100.2448234.7222e-06
110.1412312.7240.003377
12-0.026246-0.50620.306502
13-0.55096-10.62650
140.0418690.80750.209937
150.1317432.5410.00573
160.0941421.81580.035107
170.1473842.84260.00236
180.0490.94510.172619
190.1150292.21860.013559
20-0.048429-0.93410.175436
21-0.001037-0.020.492025
220.097841.88710.029964
23-0.048905-0.94320.173084
240.0705171.36010.087315
25-0.284097-5.47950
26-0.028151-0.5430.293741
270.0473130.91250.181037
280.0082990.16010.436455
29-0.013165-0.25390.399846
300.0125140.24140.404702
310.043310.83530.202036
320.0099950.19280.423617
330.0803871.55040.060943
340.0074660.1440.442786
350.0149530.28840.386598
360.0575681.11030.133788
37-0.202874-3.91295.4e-05
38-0.010231-0.19730.421839
39-0.001218-0.02350.490634
40-0.009231-0.1780.429394
410.0304970.58820.278375
420.0612441.18120.119133
430.0232820.4490.326832
440.0237610.45830.323507
450.0417240.80470.21074
460.0280720.54140.294269
47-0.00663-0.12790.449155
48-0.074431-1.43560.075981
49-0.095985-1.85130.03246
50-0.034802-0.67120.251242
51-0.006269-0.12090.451913
52-0.020787-0.40090.344355
530.0012330.02380.490523
54-0.058007-1.11880.131974
550.0053240.10270.459133
56-0.000266-0.00510.497957
57-0.030523-0.58870.278209
58-0.056019-1.08050.14032
59-0.018042-0.3480.364026
60-0.033445-0.64510.259642



Parameters (Session):
par1 = 60 ; par2 = 0.0 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; par2 = 0.0 ; 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')