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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 computationSun, 14 Dec 2008 00:53:32 -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/14/t122924127550xavkph4wzg4t3.htm/, Retrieved Wed, 15 May 2024 04:23:36 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=33238, Retrieved Wed, 15 May 2024 04:23:36 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact229
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]
- RMP   [(Partial) Autocorrelation Function] [acf] [2008-12-07 22:53:50] [c45c87b96bbf32ffc2144fc37d767b2e]
-         [(Partial) Autocorrelation Function] [] [2008-12-14 07:49:12] [4c8dfb519edec2da3492d7e6be9a5685]
-   P         [(Partial) Autocorrelation Function] [] [2008-12-14 07:53:32] [6d40a467de0f28bd2350f82ac9522c51] [Current]
-   P           [(Partial) Autocorrelation Function] [verbetering ARIMA...] [2008-12-15 08:08:03] [077ffec662d24c06be4c491541a44245]
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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 time4 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 & 4 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=33238&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]4 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=33238&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33238&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 time4 seconds
R Server'George Udny Yule' @ 72.249.76.132







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.1475752.79620.002725
20.2713825.1420
30.1818383.44530.000319
40.1140642.16120.01567
50.147922.80270.002671
60.0525710.99610.159942
7-0.038673-0.73280.232094
80.0019330.03660.485399
9-0.080036-1.51650.065141
10-0.166146-3.1480.000891
11-0.025738-0.48770.313045
12-0.46171-8.74820
13-0.159456-3.02130.001349
14-0.159783-3.02740.001322
15-0.146797-2.78140.002849
16-0.152304-2.88570.00207
17-0.12947-2.45310.007319
18-0.103993-1.97040.024781
190.0151720.28750.386962
200.0149830.28390.388328
21-0.02523-0.4780.316458
220.0060650.11490.454291
23-0.023971-0.45420.324985
240.000240.00450.498187
250.1165492.20830.013928
260.0354930.67250.250852
270.0639291.21130.113292
280.107142.030.021546
290.0308530.58460.279599
300.0583451.10550.134846
310.0299310.56710.285495
32-0.076832-1.45580.073168
330.0104470.19790.421598
34-0.01339-0.25370.399935
35-0.084746-1.60570.054609
36-0.045278-0.85790.195762
37-0.099926-1.89330.029559
38-0.024743-0.46880.319741
39-0.064258-1.21750.112103
40-0.108143-2.0490.020594
41-0.102158-1.93560.02685
42-0.027392-0.5190.30204
43-0.16464-3.11950.000979
440.0329150.62370.266625
45-0.026475-0.50160.308119
460.0221130.4190.337737
470.0724321.37240.0854
480.0737811.3980.081495
490.0965671.82970.034063
500.0737091.39660.081699
510.0707661.34080.090414
520.1535242.90890.001927
530.1974383.74090.000107
540.0160850.30480.380362
550.1685623.19380.000764
560.0183480.34770.364153
570.056821.07660.141196
580.0545321.03320.151097
590.0124450.23580.406863
60-0.015257-0.28910.386342

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.147575 & 2.7962 & 0.002725 \tabularnewline
2 & 0.271382 & 5.142 & 0 \tabularnewline
3 & 0.181838 & 3.4453 & 0.000319 \tabularnewline
4 & 0.114064 & 2.1612 & 0.01567 \tabularnewline
5 & 0.14792 & 2.8027 & 0.002671 \tabularnewline
6 & 0.052571 & 0.9961 & 0.159942 \tabularnewline
7 & -0.038673 & -0.7328 & 0.232094 \tabularnewline
8 & 0.001933 & 0.0366 & 0.485399 \tabularnewline
9 & -0.080036 & -1.5165 & 0.065141 \tabularnewline
10 & -0.166146 & -3.148 & 0.000891 \tabularnewline
11 & -0.025738 & -0.4877 & 0.313045 \tabularnewline
12 & -0.46171 & -8.7482 & 0 \tabularnewline
13 & -0.159456 & -3.0213 & 0.001349 \tabularnewline
14 & -0.159783 & -3.0274 & 0.001322 \tabularnewline
15 & -0.146797 & -2.7814 & 0.002849 \tabularnewline
16 & -0.152304 & -2.8857 & 0.00207 \tabularnewline
17 & -0.12947 & -2.4531 & 0.007319 \tabularnewline
18 & -0.103993 & -1.9704 & 0.024781 \tabularnewline
19 & 0.015172 & 0.2875 & 0.386962 \tabularnewline
20 & 0.014983 & 0.2839 & 0.388328 \tabularnewline
21 & -0.02523 & -0.478 & 0.316458 \tabularnewline
22 & 0.006065 & 0.1149 & 0.454291 \tabularnewline
23 & -0.023971 & -0.4542 & 0.324985 \tabularnewline
24 & 0.00024 & 0.0045 & 0.498187 \tabularnewline
25 & 0.116549 & 2.2083 & 0.013928 \tabularnewline
26 & 0.035493 & 0.6725 & 0.250852 \tabularnewline
27 & 0.063929 & 1.2113 & 0.113292 \tabularnewline
28 & 0.10714 & 2.03 & 0.021546 \tabularnewline
29 & 0.030853 & 0.5846 & 0.279599 \tabularnewline
30 & 0.058345 & 1.1055 & 0.134846 \tabularnewline
31 & 0.029931 & 0.5671 & 0.285495 \tabularnewline
32 & -0.076832 & -1.4558 & 0.073168 \tabularnewline
33 & 0.010447 & 0.1979 & 0.421598 \tabularnewline
34 & -0.01339 & -0.2537 & 0.399935 \tabularnewline
35 & -0.084746 & -1.6057 & 0.054609 \tabularnewline
36 & -0.045278 & -0.8579 & 0.195762 \tabularnewline
37 & -0.099926 & -1.8933 & 0.029559 \tabularnewline
38 & -0.024743 & -0.4688 & 0.319741 \tabularnewline
39 & -0.064258 & -1.2175 & 0.112103 \tabularnewline
40 & -0.108143 & -2.049 & 0.020594 \tabularnewline
41 & -0.102158 & -1.9356 & 0.02685 \tabularnewline
42 & -0.027392 & -0.519 & 0.30204 \tabularnewline
43 & -0.16464 & -3.1195 & 0.000979 \tabularnewline
44 & 0.032915 & 0.6237 & 0.266625 \tabularnewline
45 & -0.026475 & -0.5016 & 0.308119 \tabularnewline
46 & 0.022113 & 0.419 & 0.337737 \tabularnewline
47 & 0.072432 & 1.3724 & 0.0854 \tabularnewline
48 & 0.073781 & 1.398 & 0.081495 \tabularnewline
49 & 0.096567 & 1.8297 & 0.034063 \tabularnewline
50 & 0.073709 & 1.3966 & 0.081699 \tabularnewline
51 & 0.070766 & 1.3408 & 0.090414 \tabularnewline
52 & 0.153524 & 2.9089 & 0.001927 \tabularnewline
53 & 0.197438 & 3.7409 & 0.000107 \tabularnewline
54 & 0.016085 & 0.3048 & 0.380362 \tabularnewline
55 & 0.168562 & 3.1938 & 0.000764 \tabularnewline
56 & 0.018348 & 0.3477 & 0.364153 \tabularnewline
57 & 0.05682 & 1.0766 & 0.141196 \tabularnewline
58 & 0.054532 & 1.0332 & 0.151097 \tabularnewline
59 & 0.012445 & 0.2358 & 0.406863 \tabularnewline
60 & -0.015257 & -0.2891 & 0.386342 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=33238&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]0.147575[/C][C]2.7962[/C][C]0.002725[/C][/ROW]
[ROW][C]2[/C][C]0.271382[/C][C]5.142[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.181838[/C][C]3.4453[/C][C]0.000319[/C][/ROW]
[ROW][C]4[/C][C]0.114064[/C][C]2.1612[/C][C]0.01567[/C][/ROW]
[ROW][C]5[/C][C]0.14792[/C][C]2.8027[/C][C]0.002671[/C][/ROW]
[ROW][C]6[/C][C]0.052571[/C][C]0.9961[/C][C]0.159942[/C][/ROW]
[ROW][C]7[/C][C]-0.038673[/C][C]-0.7328[/C][C]0.232094[/C][/ROW]
[ROW][C]8[/C][C]0.001933[/C][C]0.0366[/C][C]0.485399[/C][/ROW]
[ROW][C]9[/C][C]-0.080036[/C][C]-1.5165[/C][C]0.065141[/C][/ROW]
[ROW][C]10[/C][C]-0.166146[/C][C]-3.148[/C][C]0.000891[/C][/ROW]
[ROW][C]11[/C][C]-0.025738[/C][C]-0.4877[/C][C]0.313045[/C][/ROW]
[ROW][C]12[/C][C]-0.46171[/C][C]-8.7482[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]-0.159456[/C][C]-3.0213[/C][C]0.001349[/C][/ROW]
[ROW][C]14[/C][C]-0.159783[/C][C]-3.0274[/C][C]0.001322[/C][/ROW]
[ROW][C]15[/C][C]-0.146797[/C][C]-2.7814[/C][C]0.002849[/C][/ROW]
[ROW][C]16[/C][C]-0.152304[/C][C]-2.8857[/C][C]0.00207[/C][/ROW]
[ROW][C]17[/C][C]-0.12947[/C][C]-2.4531[/C][C]0.007319[/C][/ROW]
[ROW][C]18[/C][C]-0.103993[/C][C]-1.9704[/C][C]0.024781[/C][/ROW]
[ROW][C]19[/C][C]0.015172[/C][C]0.2875[/C][C]0.386962[/C][/ROW]
[ROW][C]20[/C][C]0.014983[/C][C]0.2839[/C][C]0.388328[/C][/ROW]
[ROW][C]21[/C][C]-0.02523[/C][C]-0.478[/C][C]0.316458[/C][/ROW]
[ROW][C]22[/C][C]0.006065[/C][C]0.1149[/C][C]0.454291[/C][/ROW]
[ROW][C]23[/C][C]-0.023971[/C][C]-0.4542[/C][C]0.324985[/C][/ROW]
[ROW][C]24[/C][C]0.00024[/C][C]0.0045[/C][C]0.498187[/C][/ROW]
[ROW][C]25[/C][C]0.116549[/C][C]2.2083[/C][C]0.013928[/C][/ROW]
[ROW][C]26[/C][C]0.035493[/C][C]0.6725[/C][C]0.250852[/C][/ROW]
[ROW][C]27[/C][C]0.063929[/C][C]1.2113[/C][C]0.113292[/C][/ROW]
[ROW][C]28[/C][C]0.10714[/C][C]2.03[/C][C]0.021546[/C][/ROW]
[ROW][C]29[/C][C]0.030853[/C][C]0.5846[/C][C]0.279599[/C][/ROW]
[ROW][C]30[/C][C]0.058345[/C][C]1.1055[/C][C]0.134846[/C][/ROW]
[ROW][C]31[/C][C]0.029931[/C][C]0.5671[/C][C]0.285495[/C][/ROW]
[ROW][C]32[/C][C]-0.076832[/C][C]-1.4558[/C][C]0.073168[/C][/ROW]
[ROW][C]33[/C][C]0.010447[/C][C]0.1979[/C][C]0.421598[/C][/ROW]
[ROW][C]34[/C][C]-0.01339[/C][C]-0.2537[/C][C]0.399935[/C][/ROW]
[ROW][C]35[/C][C]-0.084746[/C][C]-1.6057[/C][C]0.054609[/C][/ROW]
[ROW][C]36[/C][C]-0.045278[/C][C]-0.8579[/C][C]0.195762[/C][/ROW]
[ROW][C]37[/C][C]-0.099926[/C][C]-1.8933[/C][C]0.029559[/C][/ROW]
[ROW][C]38[/C][C]-0.024743[/C][C]-0.4688[/C][C]0.319741[/C][/ROW]
[ROW][C]39[/C][C]-0.064258[/C][C]-1.2175[/C][C]0.112103[/C][/ROW]
[ROW][C]40[/C][C]-0.108143[/C][C]-2.049[/C][C]0.020594[/C][/ROW]
[ROW][C]41[/C][C]-0.102158[/C][C]-1.9356[/C][C]0.02685[/C][/ROW]
[ROW][C]42[/C][C]-0.027392[/C][C]-0.519[/C][C]0.30204[/C][/ROW]
[ROW][C]43[/C][C]-0.16464[/C][C]-3.1195[/C][C]0.000979[/C][/ROW]
[ROW][C]44[/C][C]0.032915[/C][C]0.6237[/C][C]0.266625[/C][/ROW]
[ROW][C]45[/C][C]-0.026475[/C][C]-0.5016[/C][C]0.308119[/C][/ROW]
[ROW][C]46[/C][C]0.022113[/C][C]0.419[/C][C]0.337737[/C][/ROW]
[ROW][C]47[/C][C]0.072432[/C][C]1.3724[/C][C]0.0854[/C][/ROW]
[ROW][C]48[/C][C]0.073781[/C][C]1.398[/C][C]0.081495[/C][/ROW]
[ROW][C]49[/C][C]0.096567[/C][C]1.8297[/C][C]0.034063[/C][/ROW]
[ROW][C]50[/C][C]0.073709[/C][C]1.3966[/C][C]0.081699[/C][/ROW]
[ROW][C]51[/C][C]0.070766[/C][C]1.3408[/C][C]0.090414[/C][/ROW]
[ROW][C]52[/C][C]0.153524[/C][C]2.9089[/C][C]0.001927[/C][/ROW]
[ROW][C]53[/C][C]0.197438[/C][C]3.7409[/C][C]0.000107[/C][/ROW]
[ROW][C]54[/C][C]0.016085[/C][C]0.3048[/C][C]0.380362[/C][/ROW]
[ROW][C]55[/C][C]0.168562[/C][C]3.1938[/C][C]0.000764[/C][/ROW]
[ROW][C]56[/C][C]0.018348[/C][C]0.3477[/C][C]0.364153[/C][/ROW]
[ROW][C]57[/C][C]0.05682[/C][C]1.0766[/C][C]0.141196[/C][/ROW]
[ROW][C]58[/C][C]0.054532[/C][C]1.0332[/C][C]0.151097[/C][/ROW]
[ROW][C]59[/C][C]0.012445[/C][C]0.2358[/C][C]0.406863[/C][/ROW]
[ROW][C]60[/C][C]-0.015257[/C][C]-0.2891[/C][C]0.386342[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=33238&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33238&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
10.1475752.79620.002725
20.2713825.1420
30.1818383.44530.000319
40.1140642.16120.01567
50.147922.80270.002671
60.0525710.99610.159942
7-0.038673-0.73280.232094
80.0019330.03660.485399
9-0.080036-1.51650.065141
10-0.166146-3.1480.000891
11-0.025738-0.48770.313045
12-0.46171-8.74820
13-0.159456-3.02130.001349
14-0.159783-3.02740.001322
15-0.146797-2.78140.002849
16-0.152304-2.88570.00207
17-0.12947-2.45310.007319
18-0.103993-1.97040.024781
190.0151720.28750.386962
200.0149830.28390.388328
21-0.02523-0.4780.316458
220.0060650.11490.454291
23-0.023971-0.45420.324985
240.000240.00450.498187
250.1165492.20830.013928
260.0354930.67250.250852
270.0639291.21130.113292
280.107142.030.021546
290.0308530.58460.279599
300.0583451.10550.134846
310.0299310.56710.285495
32-0.076832-1.45580.073168
330.0104470.19790.421598
34-0.01339-0.25370.399935
35-0.084746-1.60570.054609
36-0.045278-0.85790.195762
37-0.099926-1.89330.029559
38-0.024743-0.46880.319741
39-0.064258-1.21750.112103
40-0.108143-2.0490.020594
41-0.102158-1.93560.02685
42-0.027392-0.5190.30204
43-0.16464-3.11950.000979
440.0329150.62370.266625
45-0.026475-0.50160.308119
460.0221130.4190.337737
470.0724321.37240.0854
480.0737811.3980.081495
490.0965671.82970.034063
500.0737091.39660.081699
510.0707661.34080.090414
520.1535242.90890.001927
530.1974383.74090.000107
540.0160850.30480.380362
550.1685623.19380.000764
560.0183480.34770.364153
570.056821.07660.141196
580.0545321.03320.151097
590.0124450.23580.406863
60-0.015257-0.28910.386342







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.1475752.79620.002725
20.2551614.83461e-06
30.1250392.36920.009179
40.0176720.33480.368974
50.0666521.26290.103726
6-0.019477-0.3690.356157
7-0.120383-2.28090.011569
8-0.02782-0.52710.299221
9-0.06351-1.20330.114819
10-0.158782-3.00850.001405
110.0476720.90330.183499
12-0.409489-7.75870
13-0.065752-1.24580.106819
140.0752031.42490.077528
150.0356260.6750.250052
16-0.072596-1.37550.084916
170.0129670.24570.403034
180.0018920.03590.485708
190.0415630.78750.215751
200.081051.53570.06275
21-0.057615-1.09170.137858
22-0.146492-2.77560.002899
23-0.001559-0.02950.488228
24-0.234984-4.45236e-06
250.0559921.06090.144727
260.0409670.77620.219066
270.0207470.39310.347242
280.0191930.36370.358162
29-0.015692-0.29730.3832
30-0.039368-0.74590.228101
310.0402450.76250.223122
32-0.066385-1.25780.104637
33-0.063626-1.20550.114393
34-0.079254-1.50170.067033
35-0.096831-1.83470.03369
36-0.201347-3.8158e-05
370.0327180.61990.267854
380.0626131.18630.118137
39-0.048182-0.91290.180947
40-0.042507-0.80540.210564
41-0.086829-1.64520.050404
420.0156460.29640.38353
43-0.100618-1.90640.028695
440.0123920.23480.407249
45-0.04872-0.92310.178284
46-0.013241-0.25090.401025
47-0.024437-0.4630.321818
48-0.053708-1.01760.154774
490.0513670.97330.165537
500.0346950.65740.255678
51-0.02972-0.56310.286853
520.0758861.43780.075675
530.0376170.71270.238233
54-0.083309-1.57850.057667
55-0.032649-0.61860.268281
56-0.061898-1.17280.120825
57-0.076165-1.44310.074928
580.0218950.41480.339252
590.0048330.09160.463544
60-0.031161-0.59040.277643

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.147575 & 2.7962 & 0.002725 \tabularnewline
2 & 0.255161 & 4.8346 & 1e-06 \tabularnewline
3 & 0.125039 & 2.3692 & 0.009179 \tabularnewline
4 & 0.017672 & 0.3348 & 0.368974 \tabularnewline
5 & 0.066652 & 1.2629 & 0.103726 \tabularnewline
6 & -0.019477 & -0.369 & 0.356157 \tabularnewline
7 & -0.120383 & -2.2809 & 0.011569 \tabularnewline
8 & -0.02782 & -0.5271 & 0.299221 \tabularnewline
9 & -0.06351 & -1.2033 & 0.114819 \tabularnewline
10 & -0.158782 & -3.0085 & 0.001405 \tabularnewline
11 & 0.047672 & 0.9033 & 0.183499 \tabularnewline
12 & -0.409489 & -7.7587 & 0 \tabularnewline
13 & -0.065752 & -1.2458 & 0.106819 \tabularnewline
14 & 0.075203 & 1.4249 & 0.077528 \tabularnewline
15 & 0.035626 & 0.675 & 0.250052 \tabularnewline
16 & -0.072596 & -1.3755 & 0.084916 \tabularnewline
17 & 0.012967 & 0.2457 & 0.403034 \tabularnewline
18 & 0.001892 & 0.0359 & 0.485708 \tabularnewline
19 & 0.041563 & 0.7875 & 0.215751 \tabularnewline
20 & 0.08105 & 1.5357 & 0.06275 \tabularnewline
21 & -0.057615 & -1.0917 & 0.137858 \tabularnewline
22 & -0.146492 & -2.7756 & 0.002899 \tabularnewline
23 & -0.001559 & -0.0295 & 0.488228 \tabularnewline
24 & -0.234984 & -4.4523 & 6e-06 \tabularnewline
25 & 0.055992 & 1.0609 & 0.144727 \tabularnewline
26 & 0.040967 & 0.7762 & 0.219066 \tabularnewline
27 & 0.020747 & 0.3931 & 0.347242 \tabularnewline
28 & 0.019193 & 0.3637 & 0.358162 \tabularnewline
29 & -0.015692 & -0.2973 & 0.3832 \tabularnewline
30 & -0.039368 & -0.7459 & 0.228101 \tabularnewline
31 & 0.040245 & 0.7625 & 0.223122 \tabularnewline
32 & -0.066385 & -1.2578 & 0.104637 \tabularnewline
33 & -0.063626 & -1.2055 & 0.114393 \tabularnewline
34 & -0.079254 & -1.5017 & 0.067033 \tabularnewline
35 & -0.096831 & -1.8347 & 0.03369 \tabularnewline
36 & -0.201347 & -3.815 & 8e-05 \tabularnewline
37 & 0.032718 & 0.6199 & 0.267854 \tabularnewline
38 & 0.062613 & 1.1863 & 0.118137 \tabularnewline
39 & -0.048182 & -0.9129 & 0.180947 \tabularnewline
40 & -0.042507 & -0.8054 & 0.210564 \tabularnewline
41 & -0.086829 & -1.6452 & 0.050404 \tabularnewline
42 & 0.015646 & 0.2964 & 0.38353 \tabularnewline
43 & -0.100618 & -1.9064 & 0.028695 \tabularnewline
44 & 0.012392 & 0.2348 & 0.407249 \tabularnewline
45 & -0.04872 & -0.9231 & 0.178284 \tabularnewline
46 & -0.013241 & -0.2509 & 0.401025 \tabularnewline
47 & -0.024437 & -0.463 & 0.321818 \tabularnewline
48 & -0.053708 & -1.0176 & 0.154774 \tabularnewline
49 & 0.051367 & 0.9733 & 0.165537 \tabularnewline
50 & 0.034695 & 0.6574 & 0.255678 \tabularnewline
51 & -0.02972 & -0.5631 & 0.286853 \tabularnewline
52 & 0.075886 & 1.4378 & 0.075675 \tabularnewline
53 & 0.037617 & 0.7127 & 0.238233 \tabularnewline
54 & -0.083309 & -1.5785 & 0.057667 \tabularnewline
55 & -0.032649 & -0.6186 & 0.268281 \tabularnewline
56 & -0.061898 & -1.1728 & 0.120825 \tabularnewline
57 & -0.076165 & -1.4431 & 0.074928 \tabularnewline
58 & 0.021895 & 0.4148 & 0.339252 \tabularnewline
59 & 0.004833 & 0.0916 & 0.463544 \tabularnewline
60 & -0.031161 & -0.5904 & 0.277643 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=33238&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]0.147575[/C][C]2.7962[/C][C]0.002725[/C][/ROW]
[ROW][C]2[/C][C]0.255161[/C][C]4.8346[/C][C]1e-06[/C][/ROW]
[ROW][C]3[/C][C]0.125039[/C][C]2.3692[/C][C]0.009179[/C][/ROW]
[ROW][C]4[/C][C]0.017672[/C][C]0.3348[/C][C]0.368974[/C][/ROW]
[ROW][C]5[/C][C]0.066652[/C][C]1.2629[/C][C]0.103726[/C][/ROW]
[ROW][C]6[/C][C]-0.019477[/C][C]-0.369[/C][C]0.356157[/C][/ROW]
[ROW][C]7[/C][C]-0.120383[/C][C]-2.2809[/C][C]0.011569[/C][/ROW]
[ROW][C]8[/C][C]-0.02782[/C][C]-0.5271[/C][C]0.299221[/C][/ROW]
[ROW][C]9[/C][C]-0.06351[/C][C]-1.2033[/C][C]0.114819[/C][/ROW]
[ROW][C]10[/C][C]-0.158782[/C][C]-3.0085[/C][C]0.001405[/C][/ROW]
[ROW][C]11[/C][C]0.047672[/C][C]0.9033[/C][C]0.183499[/C][/ROW]
[ROW][C]12[/C][C]-0.409489[/C][C]-7.7587[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]-0.065752[/C][C]-1.2458[/C][C]0.106819[/C][/ROW]
[ROW][C]14[/C][C]0.075203[/C][C]1.4249[/C][C]0.077528[/C][/ROW]
[ROW][C]15[/C][C]0.035626[/C][C]0.675[/C][C]0.250052[/C][/ROW]
[ROW][C]16[/C][C]-0.072596[/C][C]-1.3755[/C][C]0.084916[/C][/ROW]
[ROW][C]17[/C][C]0.012967[/C][C]0.2457[/C][C]0.403034[/C][/ROW]
[ROW][C]18[/C][C]0.001892[/C][C]0.0359[/C][C]0.485708[/C][/ROW]
[ROW][C]19[/C][C]0.041563[/C][C]0.7875[/C][C]0.215751[/C][/ROW]
[ROW][C]20[/C][C]0.08105[/C][C]1.5357[/C][C]0.06275[/C][/ROW]
[ROW][C]21[/C][C]-0.057615[/C][C]-1.0917[/C][C]0.137858[/C][/ROW]
[ROW][C]22[/C][C]-0.146492[/C][C]-2.7756[/C][C]0.002899[/C][/ROW]
[ROW][C]23[/C][C]-0.001559[/C][C]-0.0295[/C][C]0.488228[/C][/ROW]
[ROW][C]24[/C][C]-0.234984[/C][C]-4.4523[/C][C]6e-06[/C][/ROW]
[ROW][C]25[/C][C]0.055992[/C][C]1.0609[/C][C]0.144727[/C][/ROW]
[ROW][C]26[/C][C]0.040967[/C][C]0.7762[/C][C]0.219066[/C][/ROW]
[ROW][C]27[/C][C]0.020747[/C][C]0.3931[/C][C]0.347242[/C][/ROW]
[ROW][C]28[/C][C]0.019193[/C][C]0.3637[/C][C]0.358162[/C][/ROW]
[ROW][C]29[/C][C]-0.015692[/C][C]-0.2973[/C][C]0.3832[/C][/ROW]
[ROW][C]30[/C][C]-0.039368[/C][C]-0.7459[/C][C]0.228101[/C][/ROW]
[ROW][C]31[/C][C]0.040245[/C][C]0.7625[/C][C]0.223122[/C][/ROW]
[ROW][C]32[/C][C]-0.066385[/C][C]-1.2578[/C][C]0.104637[/C][/ROW]
[ROW][C]33[/C][C]-0.063626[/C][C]-1.2055[/C][C]0.114393[/C][/ROW]
[ROW][C]34[/C][C]-0.079254[/C][C]-1.5017[/C][C]0.067033[/C][/ROW]
[ROW][C]35[/C][C]-0.096831[/C][C]-1.8347[/C][C]0.03369[/C][/ROW]
[ROW][C]36[/C][C]-0.201347[/C][C]-3.815[/C][C]8e-05[/C][/ROW]
[ROW][C]37[/C][C]0.032718[/C][C]0.6199[/C][C]0.267854[/C][/ROW]
[ROW][C]38[/C][C]0.062613[/C][C]1.1863[/C][C]0.118137[/C][/ROW]
[ROW][C]39[/C][C]-0.048182[/C][C]-0.9129[/C][C]0.180947[/C][/ROW]
[ROW][C]40[/C][C]-0.042507[/C][C]-0.8054[/C][C]0.210564[/C][/ROW]
[ROW][C]41[/C][C]-0.086829[/C][C]-1.6452[/C][C]0.050404[/C][/ROW]
[ROW][C]42[/C][C]0.015646[/C][C]0.2964[/C][C]0.38353[/C][/ROW]
[ROW][C]43[/C][C]-0.100618[/C][C]-1.9064[/C][C]0.028695[/C][/ROW]
[ROW][C]44[/C][C]0.012392[/C][C]0.2348[/C][C]0.407249[/C][/ROW]
[ROW][C]45[/C][C]-0.04872[/C][C]-0.9231[/C][C]0.178284[/C][/ROW]
[ROW][C]46[/C][C]-0.013241[/C][C]-0.2509[/C][C]0.401025[/C][/ROW]
[ROW][C]47[/C][C]-0.024437[/C][C]-0.463[/C][C]0.321818[/C][/ROW]
[ROW][C]48[/C][C]-0.053708[/C][C]-1.0176[/C][C]0.154774[/C][/ROW]
[ROW][C]49[/C][C]0.051367[/C][C]0.9733[/C][C]0.165537[/C][/ROW]
[ROW][C]50[/C][C]0.034695[/C][C]0.6574[/C][C]0.255678[/C][/ROW]
[ROW][C]51[/C][C]-0.02972[/C][C]-0.5631[/C][C]0.286853[/C][/ROW]
[ROW][C]52[/C][C]0.075886[/C][C]1.4378[/C][C]0.075675[/C][/ROW]
[ROW][C]53[/C][C]0.037617[/C][C]0.7127[/C][C]0.238233[/C][/ROW]
[ROW][C]54[/C][C]-0.083309[/C][C]-1.5785[/C][C]0.057667[/C][/ROW]
[ROW][C]55[/C][C]-0.032649[/C][C]-0.6186[/C][C]0.268281[/C][/ROW]
[ROW][C]56[/C][C]-0.061898[/C][C]-1.1728[/C][C]0.120825[/C][/ROW]
[ROW][C]57[/C][C]-0.076165[/C][C]-1.4431[/C][C]0.074928[/C][/ROW]
[ROW][C]58[/C][C]0.021895[/C][C]0.4148[/C][C]0.339252[/C][/ROW]
[ROW][C]59[/C][C]0.004833[/C][C]0.0916[/C][C]0.463544[/C][/ROW]
[ROW][C]60[/C][C]-0.031161[/C][C]-0.5904[/C][C]0.277643[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=33238&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33238&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
10.1475752.79620.002725
20.2551614.83461e-06
30.1250392.36920.009179
40.0176720.33480.368974
50.0666521.26290.103726
6-0.019477-0.3690.356157
7-0.120383-2.28090.011569
8-0.02782-0.52710.299221
9-0.06351-1.20330.114819
10-0.158782-3.00850.001405
110.0476720.90330.183499
12-0.409489-7.75870
13-0.065752-1.24580.106819
140.0752031.42490.077528
150.0356260.6750.250052
16-0.072596-1.37550.084916
170.0129670.24570.403034
180.0018920.03590.485708
190.0415630.78750.215751
200.081051.53570.06275
21-0.057615-1.09170.137858
22-0.146492-2.77560.002899
23-0.001559-0.02950.488228
24-0.234984-4.45236e-06
250.0559921.06090.144727
260.0409670.77620.219066
270.0207470.39310.347242
280.0191930.36370.358162
29-0.015692-0.29730.3832
30-0.039368-0.74590.228101
310.0402450.76250.223122
32-0.066385-1.25780.104637
33-0.063626-1.20550.114393
34-0.079254-1.50170.067033
35-0.096831-1.83470.03369
36-0.201347-3.8158e-05
370.0327180.61990.267854
380.0626131.18630.118137
39-0.048182-0.91290.180947
40-0.042507-0.80540.210564
41-0.086829-1.64520.050404
420.0156460.29640.38353
43-0.100618-1.90640.028695
440.0123920.23480.407249
45-0.04872-0.92310.178284
46-0.013241-0.25090.401025
47-0.024437-0.4630.321818
48-0.053708-1.01760.154774
490.0513670.97330.165537
500.0346950.65740.255678
51-0.02972-0.56310.286853
520.0758861.43780.075675
530.0376170.71270.238233
54-0.083309-1.57850.057667
55-0.032649-0.61860.268281
56-0.061898-1.17280.120825
57-0.076165-1.44310.074928
580.0218950.41480.339252
590.0048330.09160.463544
60-0.031161-0.59040.277643



Parameters (Session):
par1 = 60 ; par2 = -0.1 ; par3 = 1 ; par4 = 1 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; par2 = -0.1 ; par3 = 1 ; 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 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')