## Free Statistics

of Irreproducible Research!

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 computationFri, 09 Dec 2011 09:39:42 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Dec/09/t13234415900r307w1nklz171p.htm/, Retrieved Wed, 27 Sep 2023 07:24:39 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=153394, Retrieved Wed, 27 Sep 2023 07:24:39 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact96
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Structural Time Series Models] [] [2011-11-25 10:51:33] [d49626b9c7bd91ce0b695b5077c2942f]
- RMP     [(Partial) Autocorrelation Function] [] [2011-12-09 14:39:42] [8a7cc4cdacda1fa59fc196ea0735b051] [Current]
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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 Input view raw input (R code) Raw Output view raw output of R engine Computing time 1 seconds R Server 'Herman Ole Andreas Wold' @ wold.wessa.net

\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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=153394&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=153394&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=153394&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 Input view raw input (R code) Raw Output view raw output of R engine Computing time 1 seconds R Server 'Herman Ole Andreas Wold' @ wold.wessa.net

 Autocorrelation Function Time lag k ACF(k) T-STAT P-value 1 0.210141 3.9816 4.1e-05 2 0.325131 6.1603 0 3 0.153275 2.9041 0.001955 4 0.167252 3.169 0.000831 5 0.099156 1.8787 0.030545 6 0.064513 1.2223 0.111191 7 -0.057203 -1.0838 0.13958 8 -0.023244 -0.4404 0.329956 9 -0.085115 -1.6127 0.053845 10 -0.168424 -3.1912 0.000771 11 -0.075939 -1.4388 0.075533 12 -0.475334 -9.0063 0 13 -0.179215 -3.3956 0.000381 14 -0.162819 -3.085 0.001097 15 -0.106644 -2.0206 0.02203 16 -0.147945 -2.8032 0.002668 17 -0.091478 -1.7333 0.041954 18 -0.089745 -1.7004 0.044958 19 0.027328 0.5178 0.302458 20 -0.012913 -0.2447 0.403425 21 0.024199 0.4585 0.323437 22 -0.018741 -0.3551 0.361367 23 0.009567 0.1813 0.42813 24 -0.022226 -0.4211 0.336957 25 0.091974 1.7427 0.041125 26 -0.045751 -0.8668 0.193302 27 -0.014979 -0.2838 0.388362 28 0.034483 0.6534 0.256968 29 0.081474 1.5437 0.061769 30 0.012117 0.2296 0.409275 31 0.025552 0.4841 0.31429 32 -0.054477 -1.0322 0.151339 33 0.008649 0.1639 0.434964 34 0.016116 0.3054 0.380134 35 -0.058412 -1.1067 0.134573 36 -0.022491 -0.4261 0.335132

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.210141 & 3.9816 & 4.1e-05 \tabularnewline
2 & 0.325131 & 6.1603 & 0 \tabularnewline
3 & 0.153275 & 2.9041 & 0.001955 \tabularnewline
4 & 0.167252 & 3.169 & 0.000831 \tabularnewline
5 & 0.099156 & 1.8787 & 0.030545 \tabularnewline
6 & 0.064513 & 1.2223 & 0.111191 \tabularnewline
7 & -0.057203 & -1.0838 & 0.13958 \tabularnewline
8 & -0.023244 & -0.4404 & 0.329956 \tabularnewline
9 & -0.085115 & -1.6127 & 0.053845 \tabularnewline
10 & -0.168424 & -3.1912 & 0.000771 \tabularnewline
11 & -0.075939 & -1.4388 & 0.075533 \tabularnewline
12 & -0.475334 & -9.0063 & 0 \tabularnewline
13 & -0.179215 & -3.3956 & 0.000381 \tabularnewline
14 & -0.162819 & -3.085 & 0.001097 \tabularnewline
15 & -0.106644 & -2.0206 & 0.02203 \tabularnewline
16 & -0.147945 & -2.8032 & 0.002668 \tabularnewline
17 & -0.091478 & -1.7333 & 0.041954 \tabularnewline
18 & -0.089745 & -1.7004 & 0.044958 \tabularnewline
19 & 0.027328 & 0.5178 & 0.302458 \tabularnewline
20 & -0.012913 & -0.2447 & 0.403425 \tabularnewline
21 & 0.024199 & 0.4585 & 0.323437 \tabularnewline
22 & -0.018741 & -0.3551 & 0.361367 \tabularnewline
23 & 0.009567 & 0.1813 & 0.42813 \tabularnewline
24 & -0.022226 & -0.4211 & 0.336957 \tabularnewline
25 & 0.091974 & 1.7427 & 0.041125 \tabularnewline
26 & -0.045751 & -0.8668 & 0.193302 \tabularnewline
27 & -0.014979 & -0.2838 & 0.388362 \tabularnewline
28 & 0.034483 & 0.6534 & 0.256968 \tabularnewline
29 & 0.081474 & 1.5437 & 0.061769 \tabularnewline
30 & 0.012117 & 0.2296 & 0.409275 \tabularnewline
31 & 0.025552 & 0.4841 & 0.31429 \tabularnewline
32 & -0.054477 & -1.0322 & 0.151339 \tabularnewline
33 & 0.008649 & 0.1639 & 0.434964 \tabularnewline
34 & 0.016116 & 0.3054 & 0.380134 \tabularnewline
35 & -0.058412 & -1.1067 & 0.134573 \tabularnewline
36 & -0.022491 & -0.4261 & 0.335132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=153394&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]0.210141[/C][C]3.9816[/C][C]4.1e-05[/C][/ROW]
[ROW][C]2[/C][C]0.325131[/C][C]6.1603[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.153275[/C][C]2.9041[/C][C]0.001955[/C][/ROW]
[ROW][C]4[/C][C]0.167252[/C][C]3.169[/C][C]0.000831[/C][/ROW]
[ROW][C]5[/C][C]0.099156[/C][C]1.8787[/C][C]0.030545[/C][/ROW]
[ROW][C]6[/C][C]0.064513[/C][C]1.2223[/C][C]0.111191[/C][/ROW]
[ROW][C]7[/C][C]-0.057203[/C][C]-1.0838[/C][C]0.13958[/C][/ROW]
[ROW][C]8[/C][C]-0.023244[/C][C]-0.4404[/C][C]0.329956[/C][/ROW]
[ROW][C]9[/C][C]-0.085115[/C][C]-1.6127[/C][C]0.053845[/C][/ROW]
[ROW][C]10[/C][C]-0.168424[/C][C]-3.1912[/C][C]0.000771[/C][/ROW]
[ROW][C]11[/C][C]-0.075939[/C][C]-1.4388[/C][C]0.075533[/C][/ROW]
[ROW][C]12[/C][C]-0.475334[/C][C]-9.0063[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]-0.179215[/C][C]-3.3956[/C][C]0.000381[/C][/ROW]
[ROW][C]14[/C][C]-0.162819[/C][C]-3.085[/C][C]0.001097[/C][/ROW]
[ROW][C]15[/C][C]-0.106644[/C][C]-2.0206[/C][C]0.02203[/C][/ROW]
[ROW][C]16[/C][C]-0.147945[/C][C]-2.8032[/C][C]0.002668[/C][/ROW]
[ROW][C]17[/C][C]-0.091478[/C][C]-1.7333[/C][C]0.041954[/C][/ROW]
[ROW][C]18[/C][C]-0.089745[/C][C]-1.7004[/C][C]0.044958[/C][/ROW]
[ROW][C]19[/C][C]0.027328[/C][C]0.5178[/C][C]0.302458[/C][/ROW]
[ROW][C]20[/C][C]-0.012913[/C][C]-0.2447[/C][C]0.403425[/C][/ROW]
[ROW][C]21[/C][C]0.024199[/C][C]0.4585[/C][C]0.323437[/C][/ROW]
[ROW][C]22[/C][C]-0.018741[/C][C]-0.3551[/C][C]0.361367[/C][/ROW]
[ROW][C]23[/C][C]0.009567[/C][C]0.1813[/C][C]0.42813[/C][/ROW]
[ROW][C]24[/C][C]-0.022226[/C][C]-0.4211[/C][C]0.336957[/C][/ROW]
[ROW][C]25[/C][C]0.091974[/C][C]1.7427[/C][C]0.041125[/C][/ROW]
[ROW][C]26[/C][C]-0.045751[/C][C]-0.8668[/C][C]0.193302[/C][/ROW]
[ROW][C]27[/C][C]-0.014979[/C][C]-0.2838[/C][C]0.388362[/C][/ROW]
[ROW][C]28[/C][C]0.034483[/C][C]0.6534[/C][C]0.256968[/C][/ROW]
[ROW][C]29[/C][C]0.081474[/C][C]1.5437[/C][C]0.061769[/C][/ROW]
[ROW][C]30[/C][C]0.012117[/C][C]0.2296[/C][C]0.409275[/C][/ROW]
[ROW][C]31[/C][C]0.025552[/C][C]0.4841[/C][C]0.31429[/C][/ROW]
[ROW][C]32[/C][C]-0.054477[/C][C]-1.0322[/C][C]0.151339[/C][/ROW]
[ROW][C]33[/C][C]0.008649[/C][C]0.1639[/C][C]0.434964[/C][/ROW]
[ROW][C]34[/C][C]0.016116[/C][C]0.3054[/C][C]0.380134[/C][/ROW]
[ROW][C]35[/C][C]-0.058412[/C][C]-1.1067[/C][C]0.134573[/C][/ROW]
[ROW][C]36[/C][C]-0.022491[/C][C]-0.4261[/C][C]0.335132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=153394&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=153394&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 k ACF(k) T-STAT P-value 1 0.210141 3.9816 4.1e-05 2 0.325131 6.1603 0 3 0.153275 2.9041 0.001955 4 0.167252 3.169 0.000831 5 0.099156 1.8787 0.030545 6 0.064513 1.2223 0.111191 7 -0.057203 -1.0838 0.13958 8 -0.023244 -0.4404 0.329956 9 -0.085115 -1.6127 0.053845 10 -0.168424 -3.1912 0.000771 11 -0.075939 -1.4388 0.075533 12 -0.475334 -9.0063 0 13 -0.179215 -3.3956 0.000381 14 -0.162819 -3.085 0.001097 15 -0.106644 -2.0206 0.02203 16 -0.147945 -2.8032 0.002668 17 -0.091478 -1.7333 0.041954 18 -0.089745 -1.7004 0.044958 19 0.027328 0.5178 0.302458 20 -0.012913 -0.2447 0.403425 21 0.024199 0.4585 0.323437 22 -0.018741 -0.3551 0.361367 23 0.009567 0.1813 0.42813 24 -0.022226 -0.4211 0.336957 25 0.091974 1.7427 0.041125 26 -0.045751 -0.8668 0.193302 27 -0.014979 -0.2838 0.388362 28 0.034483 0.6534 0.256968 29 0.081474 1.5437 0.061769 30 0.012117 0.2296 0.409275 31 0.025552 0.4841 0.31429 32 -0.054477 -1.0322 0.151339 33 0.008649 0.1639 0.434964 34 0.016116 0.3054 0.380134 35 -0.058412 -1.1067 0.134573 36 -0.022491 -0.4261 0.335132

 Partial Autocorrelation Function Time lag k PACF(k) T-STAT P-value 1 0.210141 3.9816 4.1e-05 2 0.293952 5.5696 0 3 0.049544 0.9387 0.174253 4 0.049534 0.9385 0.174302 5 0.012741 0.2414 0.404686 6 -0.02095 -0.3969 0.34582 7 -0.124687 -2.3625 0.009343 8 -0.032709 -0.6197 0.267912 9 -0.045438 -0.8609 0.194928 10 -0.146092 -2.768 0.002966 11 0.023631 0.4477 0.327306 12 -0.42914 -8.131 0 13 -0.0237 -0.449 0.326836 14 0.150889 2.8589 0.002249 15 0.029791 0.5645 0.286395 16 -0.044612 -0.8453 0.199257 17 -0.012037 -0.2281 0.40986 18 0.004648 0.0881 0.464938 19 0.011303 0.2142 0.415271 20 0.009823 0.1861 0.426229 21 -0.009818 -0.186 0.426268 22 -0.15669 -2.9689 0.001595 23 0.012173 0.2306 0.408859 24 -0.273087 -5.1743 0 25 0.053216 1.0083 0.156993 26 -0.005528 -0.1047 0.458322 27 -0.053682 -1.0171 0.15489 28 0.046275 0.8768 0.190593 29 0.091076 1.7256 0.042637 30 -0.041044 -0.7777 0.218636 31 0.023452 0.4444 0.328528 32 -0.066214 -1.2546 0.105224 33 -0.006987 -0.1324 0.447376 34 -0.075688 -1.4341 0.076211 35 -0.076212 -1.444 0.074803 36 -0.234257 -4.4385 6e-06

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.210141 & 3.9816 & 4.1e-05 \tabularnewline
2 & 0.293952 & 5.5696 & 0 \tabularnewline
3 & 0.049544 & 0.9387 & 0.174253 \tabularnewline
4 & 0.049534 & 0.9385 & 0.174302 \tabularnewline
5 & 0.012741 & 0.2414 & 0.404686 \tabularnewline
6 & -0.02095 & -0.3969 & 0.34582 \tabularnewline
7 & -0.124687 & -2.3625 & 0.009343 \tabularnewline
8 & -0.032709 & -0.6197 & 0.267912 \tabularnewline
9 & -0.045438 & -0.8609 & 0.194928 \tabularnewline
10 & -0.146092 & -2.768 & 0.002966 \tabularnewline
11 & 0.023631 & 0.4477 & 0.327306 \tabularnewline
12 & -0.42914 & -8.131 & 0 \tabularnewline
13 & -0.0237 & -0.449 & 0.326836 \tabularnewline
14 & 0.150889 & 2.8589 & 0.002249 \tabularnewline
15 & 0.029791 & 0.5645 & 0.286395 \tabularnewline
16 & -0.044612 & -0.8453 & 0.199257 \tabularnewline
17 & -0.012037 & -0.2281 & 0.40986 \tabularnewline
18 & 0.004648 & 0.0881 & 0.464938 \tabularnewline
19 & 0.011303 & 0.2142 & 0.415271 \tabularnewline
20 & 0.009823 & 0.1861 & 0.426229 \tabularnewline
21 & -0.009818 & -0.186 & 0.426268 \tabularnewline
22 & -0.15669 & -2.9689 & 0.001595 \tabularnewline
23 & 0.012173 & 0.2306 & 0.408859 \tabularnewline
24 & -0.273087 & -5.1743 & 0 \tabularnewline
25 & 0.053216 & 1.0083 & 0.156993 \tabularnewline
26 & -0.005528 & -0.1047 & 0.458322 \tabularnewline
27 & -0.053682 & -1.0171 & 0.15489 \tabularnewline
28 & 0.046275 & 0.8768 & 0.190593 \tabularnewline
29 & 0.091076 & 1.7256 & 0.042637 \tabularnewline
30 & -0.041044 & -0.7777 & 0.218636 \tabularnewline
31 & 0.023452 & 0.4444 & 0.328528 \tabularnewline
32 & -0.066214 & -1.2546 & 0.105224 \tabularnewline
33 & -0.006987 & -0.1324 & 0.447376 \tabularnewline
34 & -0.075688 & -1.4341 & 0.076211 \tabularnewline
35 & -0.076212 & -1.444 & 0.074803 \tabularnewline
36 & -0.234257 & -4.4385 & 6e-06 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=153394&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]0.210141[/C][C]3.9816[/C][C]4.1e-05[/C][/ROW]
[ROW][C]2[/C][C]0.293952[/C][C]5.5696[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.049544[/C][C]0.9387[/C][C]0.174253[/C][/ROW]
[ROW][C]4[/C][C]0.049534[/C][C]0.9385[/C][C]0.174302[/C][/ROW]
[ROW][C]5[/C][C]0.012741[/C][C]0.2414[/C][C]0.404686[/C][/ROW]
[ROW][C]6[/C][C]-0.02095[/C][C]-0.3969[/C][C]0.34582[/C][/ROW]
[ROW][C]7[/C][C]-0.124687[/C][C]-2.3625[/C][C]0.009343[/C][/ROW]
[ROW][C]8[/C][C]-0.032709[/C][C]-0.6197[/C][C]0.267912[/C][/ROW]
[ROW][C]9[/C][C]-0.045438[/C][C]-0.8609[/C][C]0.194928[/C][/ROW]
[ROW][C]10[/C][C]-0.146092[/C][C]-2.768[/C][C]0.002966[/C][/ROW]
[ROW][C]11[/C][C]0.023631[/C][C]0.4477[/C][C]0.327306[/C][/ROW]
[ROW][C]12[/C][C]-0.42914[/C][C]-8.131[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]-0.0237[/C][C]-0.449[/C][C]0.326836[/C][/ROW]
[ROW][C]14[/C][C]0.150889[/C][C]2.8589[/C][C]0.002249[/C][/ROW]
[ROW][C]15[/C][C]0.029791[/C][C]0.5645[/C][C]0.286395[/C][/ROW]
[ROW][C]16[/C][C]-0.044612[/C][C]-0.8453[/C][C]0.199257[/C][/ROW]
[ROW][C]17[/C][C]-0.012037[/C][C]-0.2281[/C][C]0.40986[/C][/ROW]
[ROW][C]18[/C][C]0.004648[/C][C]0.0881[/C][C]0.464938[/C][/ROW]
[ROW][C]19[/C][C]0.011303[/C][C]0.2142[/C][C]0.415271[/C][/ROW]
[ROW][C]20[/C][C]0.009823[/C][C]0.1861[/C][C]0.426229[/C][/ROW]
[ROW][C]21[/C][C]-0.009818[/C][C]-0.186[/C][C]0.426268[/C][/ROW]
[ROW][C]22[/C][C]-0.15669[/C][C]-2.9689[/C][C]0.001595[/C][/ROW]
[ROW][C]23[/C][C]0.012173[/C][C]0.2306[/C][C]0.408859[/C][/ROW]
[ROW][C]24[/C][C]-0.273087[/C][C]-5.1743[/C][C]0[/C][/ROW]
[ROW][C]25[/C][C]0.053216[/C][C]1.0083[/C][C]0.156993[/C][/ROW]
[ROW][C]26[/C][C]-0.005528[/C][C]-0.1047[/C][C]0.458322[/C][/ROW]
[ROW][C]27[/C][C]-0.053682[/C][C]-1.0171[/C][C]0.15489[/C][/ROW]
[ROW][C]28[/C][C]0.046275[/C][C]0.8768[/C][C]0.190593[/C][/ROW]
[ROW][C]29[/C][C]0.091076[/C][C]1.7256[/C][C]0.042637[/C][/ROW]
[ROW][C]30[/C][C]-0.041044[/C][C]-0.7777[/C][C]0.218636[/C][/ROW]
[ROW][C]31[/C][C]0.023452[/C][C]0.4444[/C][C]0.328528[/C][/ROW]
[ROW][C]32[/C][C]-0.066214[/C][C]-1.2546[/C][C]0.105224[/C][/ROW]
[ROW][C]33[/C][C]-0.006987[/C][C]-0.1324[/C][C]0.447376[/C][/ROW]
[ROW][C]34[/C][C]-0.075688[/C][C]-1.4341[/C][C]0.076211[/C][/ROW]
[ROW][C]35[/C][C]-0.076212[/C][C]-1.444[/C][C]0.074803[/C][/ROW]
[ROW][C]36[/C][C]-0.234257[/C][C]-4.4385[/C][C]6e-06[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=153394&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=153394&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 k PACF(k) T-STAT P-value 1 0.210141 3.9816 4.1e-05 2 0.293952 5.5696 0 3 0.049544 0.9387 0.174253 4 0.049534 0.9385 0.174302 5 0.012741 0.2414 0.404686 6 -0.02095 -0.3969 0.34582 7 -0.124687 -2.3625 0.009343 8 -0.032709 -0.6197 0.267912 9 -0.045438 -0.8609 0.194928 10 -0.146092 -2.768 0.002966 11 0.023631 0.4477 0.327306 12 -0.42914 -8.131 0 13 -0.0237 -0.449 0.326836 14 0.150889 2.8589 0.002249 15 0.029791 0.5645 0.286395 16 -0.044612 -0.8453 0.199257 17 -0.012037 -0.2281 0.40986 18 0.004648 0.0881 0.464938 19 0.011303 0.2142 0.415271 20 0.009823 0.1861 0.426229 21 -0.009818 -0.186 0.426268 22 -0.15669 -2.9689 0.001595 23 0.012173 0.2306 0.408859 24 -0.273087 -5.1743 0 25 0.053216 1.0083 0.156993 26 -0.005528 -0.1047 0.458322 27 -0.053682 -1.0171 0.15489 28 0.046275 0.8768 0.190593 29 0.091076 1.7256 0.042637 30 -0.041044 -0.7777 0.218636 31 0.023452 0.4444 0.328528 32 -0.066214 -1.2546 0.105224 33 -0.006987 -0.1324 0.447376 34 -0.075688 -1.4341 0.076211 35 -0.076212 -1.444 0.074803 36 -0.234257 -4.4385 6e-06

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 (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'par7 <- as.numeric(par7)if (par8 != '') par8 <- as.numeric(par8)ox <- xif (par8 == '') {if (par2 == 0) {x <- log(x)} else {x <- (x ^ par2 - 1) / par2}} else {x <- log(x,base=par8)}if (par3 > 0) x <- diff(x,lag=1,difference=par3)if (par4 > 0) x <- diff(x,lag=par5,difference=par4)bitmap(file='picts.png')op <- par(mfrow=c(2,1))plot(ox,type='l',main='Original Time Series',xlab='time',ylab='value')if (par8=='') {mytitle <- paste('Working Time Series (lambda=',par2,', d=',par3,', D=',par4,')',sep='')mysub <- paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')} else {mytitle <- paste('Working Time Series (base=',par8,', d=',par3,', D=',par4,')',sep='')mysub <- paste('(base=',par8,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')}plot(x,type='l', main=mytitle,xlab='time',ylab='value')par(op)dev.off()bitmap(file='pic1.png')racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=mysub)dev.off()bitmap(file='pic2.png')rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF',sub=mysub)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]*sqrtna<-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]*sqrtna<-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')