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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 03:40:34 -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/t1241862089oyl1z842i6eqfyj.htm/, Retrieved Sun, 05 May 2024 11:57:08 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=39674, Retrieved Sun, 05 May 2024 11:57:08 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact160
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Autocorrelation f...] [2009-05-09 09:40:34] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
8166
2322
2924
5209
5597
5616
5764
5854
6019
6047
6082
6251
6576
6820
7024
7102
7107
7237
7630
7842
8086
8201
8323
9016
9077
9115
9230
9535
9565
9807
9815
9999
10176
10416
10439
10737
10790
11196
11221
11340
11356
11772
11836
11926
12013
12132
12178
12382
12448
12543
12662
12692
12767
13136
13145
13330
13381
13533
14176
14314
14444
15092
15130
15550
15557
15874
15892
16364
16379
16668
16713
16830
17368
17808
17846
18137
18504
18898
18938
19139
19573
19796
19845
21461




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39674&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39674&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39674&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 time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.9529448.73390
20.9018788.26580
30.8585387.86860
40.8208357.52310
50.7843567.18870
60.7477686.85340
70.7098656.5060
80.6734956.17270
90.6374995.84280
100.601455.51240
110.5639515.16871e-06
120.5284084.84293e-06
130.4958624.54469e-06
140.4641774.25432.7e-05
150.4313353.95328e-05
160.3985313.65260.000225
170.3641523.33750.000631
180.3326533.04880.001536
190.3010542.75920.003555
200.2711462.48510.007468
210.2396372.19630.015413
220.2099751.92450.028842
230.1814571.66310.050012
240.1572051.44080.076679
250.1323251.21280.114307
260.1071790.98230.164384
270.0856330.78480.217377
280.0648470.59430.276945
290.0439150.40250.344172
300.0235150.21550.414944
310.002110.01930.49231
32-0.017052-0.15630.43809
33-0.035908-0.32910.371449
34-0.054935-0.50350.307968
35-0.073701-0.67550.250612
36-0.092325-0.84620.19993
37-0.110216-1.01010.157664
38-0.12671-1.16130.124402
39-0.144173-1.32140.094984
40-0.16169-1.48190.071052
41-0.178489-1.63590.052804
42-0.194545-1.7830.039097
43-0.211122-1.9350.02818
44-0.225644-2.06810.020855
45-0.24074-2.20640.015042
46-0.255647-2.3430.010746
47-0.270938-2.48320.007505
48-0.284064-2.60350.005454

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.952944 & 8.7339 & 0 \tabularnewline
2 & 0.901878 & 8.2658 & 0 \tabularnewline
3 & 0.858538 & 7.8686 & 0 \tabularnewline
4 & 0.820835 & 7.5231 & 0 \tabularnewline
5 & 0.784356 & 7.1887 & 0 \tabularnewline
6 & 0.747768 & 6.8534 & 0 \tabularnewline
7 & 0.709865 & 6.506 & 0 \tabularnewline
8 & 0.673495 & 6.1727 & 0 \tabularnewline
9 & 0.637499 & 5.8428 & 0 \tabularnewline
10 & 0.60145 & 5.5124 & 0 \tabularnewline
11 & 0.563951 & 5.1687 & 1e-06 \tabularnewline
12 & 0.528408 & 4.8429 & 3e-06 \tabularnewline
13 & 0.495862 & 4.5446 & 9e-06 \tabularnewline
14 & 0.464177 & 4.2543 & 2.7e-05 \tabularnewline
15 & 0.431335 & 3.9532 & 8e-05 \tabularnewline
16 & 0.398531 & 3.6526 & 0.000225 \tabularnewline
17 & 0.364152 & 3.3375 & 0.000631 \tabularnewline
18 & 0.332653 & 3.0488 & 0.001536 \tabularnewline
19 & 0.301054 & 2.7592 & 0.003555 \tabularnewline
20 & 0.271146 & 2.4851 & 0.007468 \tabularnewline
21 & 0.239637 & 2.1963 & 0.015413 \tabularnewline
22 & 0.209975 & 1.9245 & 0.028842 \tabularnewline
23 & 0.181457 & 1.6631 & 0.050012 \tabularnewline
24 & 0.157205 & 1.4408 & 0.076679 \tabularnewline
25 & 0.132325 & 1.2128 & 0.114307 \tabularnewline
26 & 0.107179 & 0.9823 & 0.164384 \tabularnewline
27 & 0.085633 & 0.7848 & 0.217377 \tabularnewline
28 & 0.064847 & 0.5943 & 0.276945 \tabularnewline
29 & 0.043915 & 0.4025 & 0.344172 \tabularnewline
30 & 0.023515 & 0.2155 & 0.414944 \tabularnewline
31 & 0.00211 & 0.0193 & 0.49231 \tabularnewline
32 & -0.017052 & -0.1563 & 0.43809 \tabularnewline
33 & -0.035908 & -0.3291 & 0.371449 \tabularnewline
34 & -0.054935 & -0.5035 & 0.307968 \tabularnewline
35 & -0.073701 & -0.6755 & 0.250612 \tabularnewline
36 & -0.092325 & -0.8462 & 0.19993 \tabularnewline
37 & -0.110216 & -1.0101 & 0.157664 \tabularnewline
38 & -0.12671 & -1.1613 & 0.124402 \tabularnewline
39 & -0.144173 & -1.3214 & 0.094984 \tabularnewline
40 & -0.16169 & -1.4819 & 0.071052 \tabularnewline
41 & -0.178489 & -1.6359 & 0.052804 \tabularnewline
42 & -0.194545 & -1.783 & 0.039097 \tabularnewline
43 & -0.211122 & -1.935 & 0.02818 \tabularnewline
44 & -0.225644 & -2.0681 & 0.020855 \tabularnewline
45 & -0.24074 & -2.2064 & 0.015042 \tabularnewline
46 & -0.255647 & -2.343 & 0.010746 \tabularnewline
47 & -0.270938 & -2.4832 & 0.007505 \tabularnewline
48 & -0.284064 & -2.6035 & 0.005454 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39674&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]0.952944[/C][C]8.7339[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.901878[/C][C]8.2658[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.858538[/C][C]7.8686[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.820835[/C][C]7.5231[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.784356[/C][C]7.1887[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.747768[/C][C]6.8534[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.709865[/C][C]6.506[/C][C]0[/C][/ROW]
[ROW][C]8[/C][C]0.673495[/C][C]6.1727[/C][C]0[/C][/ROW]
[ROW][C]9[/C][C]0.637499[/C][C]5.8428[/C][C]0[/C][/ROW]
[ROW][C]10[/C][C]0.60145[/C][C]5.5124[/C][C]0[/C][/ROW]
[ROW][C]11[/C][C]0.563951[/C][C]5.1687[/C][C]1e-06[/C][/ROW]
[ROW][C]12[/C][C]0.528408[/C][C]4.8429[/C][C]3e-06[/C][/ROW]
[ROW][C]13[/C][C]0.495862[/C][C]4.5446[/C][C]9e-06[/C][/ROW]
[ROW][C]14[/C][C]0.464177[/C][C]4.2543[/C][C]2.7e-05[/C][/ROW]
[ROW][C]15[/C][C]0.431335[/C][C]3.9532[/C][C]8e-05[/C][/ROW]
[ROW][C]16[/C][C]0.398531[/C][C]3.6526[/C][C]0.000225[/C][/ROW]
[ROW][C]17[/C][C]0.364152[/C][C]3.3375[/C][C]0.000631[/C][/ROW]
[ROW][C]18[/C][C]0.332653[/C][C]3.0488[/C][C]0.001536[/C][/ROW]
[ROW][C]19[/C][C]0.301054[/C][C]2.7592[/C][C]0.003555[/C][/ROW]
[ROW][C]20[/C][C]0.271146[/C][C]2.4851[/C][C]0.007468[/C][/ROW]
[ROW][C]21[/C][C]0.239637[/C][C]2.1963[/C][C]0.015413[/C][/ROW]
[ROW][C]22[/C][C]0.209975[/C][C]1.9245[/C][C]0.028842[/C][/ROW]
[ROW][C]23[/C][C]0.181457[/C][C]1.6631[/C][C]0.050012[/C][/ROW]
[ROW][C]24[/C][C]0.157205[/C][C]1.4408[/C][C]0.076679[/C][/ROW]
[ROW][C]25[/C][C]0.132325[/C][C]1.2128[/C][C]0.114307[/C][/ROW]
[ROW][C]26[/C][C]0.107179[/C][C]0.9823[/C][C]0.164384[/C][/ROW]
[ROW][C]27[/C][C]0.085633[/C][C]0.7848[/C][C]0.217377[/C][/ROW]
[ROW][C]28[/C][C]0.064847[/C][C]0.5943[/C][C]0.276945[/C][/ROW]
[ROW][C]29[/C][C]0.043915[/C][C]0.4025[/C][C]0.344172[/C][/ROW]
[ROW][C]30[/C][C]0.023515[/C][C]0.2155[/C][C]0.414944[/C][/ROW]
[ROW][C]31[/C][C]0.00211[/C][C]0.0193[/C][C]0.49231[/C][/ROW]
[ROW][C]32[/C][C]-0.017052[/C][C]-0.1563[/C][C]0.43809[/C][/ROW]
[ROW][C]33[/C][C]-0.035908[/C][C]-0.3291[/C][C]0.371449[/C][/ROW]
[ROW][C]34[/C][C]-0.054935[/C][C]-0.5035[/C][C]0.307968[/C][/ROW]
[ROW][C]35[/C][C]-0.073701[/C][C]-0.6755[/C][C]0.250612[/C][/ROW]
[ROW][C]36[/C][C]-0.092325[/C][C]-0.8462[/C][C]0.19993[/C][/ROW]
[ROW][C]37[/C][C]-0.110216[/C][C]-1.0101[/C][C]0.157664[/C][/ROW]
[ROW][C]38[/C][C]-0.12671[/C][C]-1.1613[/C][C]0.124402[/C][/ROW]
[ROW][C]39[/C][C]-0.144173[/C][C]-1.3214[/C][C]0.094984[/C][/ROW]
[ROW][C]40[/C][C]-0.16169[/C][C]-1.4819[/C][C]0.071052[/C][/ROW]
[ROW][C]41[/C][C]-0.178489[/C][C]-1.6359[/C][C]0.052804[/C][/ROW]
[ROW][C]42[/C][C]-0.194545[/C][C]-1.783[/C][C]0.039097[/C][/ROW]
[ROW][C]43[/C][C]-0.211122[/C][C]-1.935[/C][C]0.02818[/C][/ROW]
[ROW][C]44[/C][C]-0.225644[/C][C]-2.0681[/C][C]0.020855[/C][/ROW]
[ROW][C]45[/C][C]-0.24074[/C][C]-2.2064[/C][C]0.015042[/C][/ROW]
[ROW][C]46[/C][C]-0.255647[/C][C]-2.343[/C][C]0.010746[/C][/ROW]
[ROW][C]47[/C][C]-0.270938[/C][C]-2.4832[/C][C]0.007505[/C][/ROW]
[ROW][C]48[/C][C]-0.284064[/C][C]-2.6035[/C][C]0.005454[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39674&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39674&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
10.9529448.73390
20.9018788.26580
30.8585387.86860
40.8208357.52310
50.7843567.18870
60.7477686.85340
70.7098656.5060
80.6734956.17270
90.6374995.84280
100.601455.51240
110.5639515.16871e-06
120.5284084.84293e-06
130.4958624.54469e-06
140.4641774.25432.7e-05
150.4313353.95328e-05
160.3985313.65260.000225
170.3641523.33750.000631
180.3326533.04880.001536
190.3010542.75920.003555
200.2711462.48510.007468
210.2396372.19630.015413
220.2099751.92450.028842
230.1814571.66310.050012
240.1572051.44080.076679
250.1323251.21280.114307
260.1071790.98230.164384
270.0856330.78480.217377
280.0648470.59430.276945
290.0439150.40250.344172
300.0235150.21550.414944
310.002110.01930.49231
32-0.017052-0.15630.43809
33-0.035908-0.32910.371449
34-0.054935-0.50350.307968
35-0.073701-0.67550.250612
36-0.092325-0.84620.19993
37-0.110216-1.01010.157664
38-0.12671-1.16130.124402
39-0.144173-1.32140.094984
40-0.16169-1.48190.071052
41-0.178489-1.63590.052804
42-0.194545-1.7830.039097
43-0.211122-1.9350.02818
44-0.225644-2.06810.020855
45-0.24074-2.20640.015042
46-0.255647-2.3430.010746
47-0.270938-2.48320.007505
48-0.284064-2.60350.005454







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.9529448.73390
2-0.067728-0.62070.268226
30.0593870.54430.29384
40.0309150.28330.388807
5-0.005946-0.05450.478335
6-0.014045-0.12870.448942
7-0.030398-0.27860.390619
8-0.002287-0.0210.491665
9-0.020604-0.18880.425339
10-0.021266-0.19490.422969
11-0.036523-0.33470.369329
12-0.000409-0.00370.49851
130.0057140.05240.479181
14-0.013993-0.12820.449129
15-0.028716-0.26320.396526
16-0.016793-0.15390.439026
17-0.040478-0.3710.355791
180.0071240.06530.474049
19-0.030539-0.27990.390124
20-0.00179-0.01640.493475
21-0.040569-0.37180.35548
22-0.001206-0.01110.495603
23-0.014726-0.1350.446482
240.0229910.21070.41681
25-0.027904-0.25570.399388
26-0.017687-0.16210.435808
270.0212610.19490.422987
28-0.019362-0.17750.429788
29-0.016692-0.1530.439389
30-0.012058-0.11050.456133
31-0.029223-0.26780.394741
320.0028530.02620.489599
33-0.022638-0.20750.418067
34-0.022396-0.20530.418931
35-0.013435-0.12310.451146
36-0.02147-0.19680.422239
37-0.013633-0.12490.450432
38-0.011061-0.10140.459746
39-0.029048-0.26620.395359
40-0.023143-0.21210.416267
41-0.013306-0.1220.451614
42-0.01998-0.18310.427571
43-0.029766-0.27280.392836
440.0006970.00640.49746
45-0.0313-0.28690.387461
46-0.018959-0.17380.431235
47-0.028419-0.26050.397572
48-0.002948-0.0270.489256

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.952944 & 8.7339 & 0 \tabularnewline
2 & -0.067728 & -0.6207 & 0.268226 \tabularnewline
3 & 0.059387 & 0.5443 & 0.29384 \tabularnewline
4 & 0.030915 & 0.2833 & 0.388807 \tabularnewline
5 & -0.005946 & -0.0545 & 0.478335 \tabularnewline
6 & -0.014045 & -0.1287 & 0.448942 \tabularnewline
7 & -0.030398 & -0.2786 & 0.390619 \tabularnewline
8 & -0.002287 & -0.021 & 0.491665 \tabularnewline
9 & -0.020604 & -0.1888 & 0.425339 \tabularnewline
10 & -0.021266 & -0.1949 & 0.422969 \tabularnewline
11 & -0.036523 & -0.3347 & 0.369329 \tabularnewline
12 & -0.000409 & -0.0037 & 0.49851 \tabularnewline
13 & 0.005714 & 0.0524 & 0.479181 \tabularnewline
14 & -0.013993 & -0.1282 & 0.449129 \tabularnewline
15 & -0.028716 & -0.2632 & 0.396526 \tabularnewline
16 & -0.016793 & -0.1539 & 0.439026 \tabularnewline
17 & -0.040478 & -0.371 & 0.355791 \tabularnewline
18 & 0.007124 & 0.0653 & 0.474049 \tabularnewline
19 & -0.030539 & -0.2799 & 0.390124 \tabularnewline
20 & -0.00179 & -0.0164 & 0.493475 \tabularnewline
21 & -0.040569 & -0.3718 & 0.35548 \tabularnewline
22 & -0.001206 & -0.0111 & 0.495603 \tabularnewline
23 & -0.014726 & -0.135 & 0.446482 \tabularnewline
24 & 0.022991 & 0.2107 & 0.41681 \tabularnewline
25 & -0.027904 & -0.2557 & 0.399388 \tabularnewline
26 & -0.017687 & -0.1621 & 0.435808 \tabularnewline
27 & 0.021261 & 0.1949 & 0.422987 \tabularnewline
28 & -0.019362 & -0.1775 & 0.429788 \tabularnewline
29 & -0.016692 & -0.153 & 0.439389 \tabularnewline
30 & -0.012058 & -0.1105 & 0.456133 \tabularnewline
31 & -0.029223 & -0.2678 & 0.394741 \tabularnewline
32 & 0.002853 & 0.0262 & 0.489599 \tabularnewline
33 & -0.022638 & -0.2075 & 0.418067 \tabularnewline
34 & -0.022396 & -0.2053 & 0.418931 \tabularnewline
35 & -0.013435 & -0.1231 & 0.451146 \tabularnewline
36 & -0.02147 & -0.1968 & 0.422239 \tabularnewline
37 & -0.013633 & -0.1249 & 0.450432 \tabularnewline
38 & -0.011061 & -0.1014 & 0.459746 \tabularnewline
39 & -0.029048 & -0.2662 & 0.395359 \tabularnewline
40 & -0.023143 & -0.2121 & 0.416267 \tabularnewline
41 & -0.013306 & -0.122 & 0.451614 \tabularnewline
42 & -0.01998 & -0.1831 & 0.427571 \tabularnewline
43 & -0.029766 & -0.2728 & 0.392836 \tabularnewline
44 & 0.000697 & 0.0064 & 0.49746 \tabularnewline
45 & -0.0313 & -0.2869 & 0.387461 \tabularnewline
46 & -0.018959 & -0.1738 & 0.431235 \tabularnewline
47 & -0.028419 & -0.2605 & 0.397572 \tabularnewline
48 & -0.002948 & -0.027 & 0.489256 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39674&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]0.952944[/C][C]8.7339[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.067728[/C][C]-0.6207[/C][C]0.268226[/C][/ROW]
[ROW][C]3[/C][C]0.059387[/C][C]0.5443[/C][C]0.29384[/C][/ROW]
[ROW][C]4[/C][C]0.030915[/C][C]0.2833[/C][C]0.388807[/C][/ROW]
[ROW][C]5[/C][C]-0.005946[/C][C]-0.0545[/C][C]0.478335[/C][/ROW]
[ROW][C]6[/C][C]-0.014045[/C][C]-0.1287[/C][C]0.448942[/C][/ROW]
[ROW][C]7[/C][C]-0.030398[/C][C]-0.2786[/C][C]0.390619[/C][/ROW]
[ROW][C]8[/C][C]-0.002287[/C][C]-0.021[/C][C]0.491665[/C][/ROW]
[ROW][C]9[/C][C]-0.020604[/C][C]-0.1888[/C][C]0.425339[/C][/ROW]
[ROW][C]10[/C][C]-0.021266[/C][C]-0.1949[/C][C]0.422969[/C][/ROW]
[ROW][C]11[/C][C]-0.036523[/C][C]-0.3347[/C][C]0.369329[/C][/ROW]
[ROW][C]12[/C][C]-0.000409[/C][C]-0.0037[/C][C]0.49851[/C][/ROW]
[ROW][C]13[/C][C]0.005714[/C][C]0.0524[/C][C]0.479181[/C][/ROW]
[ROW][C]14[/C][C]-0.013993[/C][C]-0.1282[/C][C]0.449129[/C][/ROW]
[ROW][C]15[/C][C]-0.028716[/C][C]-0.2632[/C][C]0.396526[/C][/ROW]
[ROW][C]16[/C][C]-0.016793[/C][C]-0.1539[/C][C]0.439026[/C][/ROW]
[ROW][C]17[/C][C]-0.040478[/C][C]-0.371[/C][C]0.355791[/C][/ROW]
[ROW][C]18[/C][C]0.007124[/C][C]0.0653[/C][C]0.474049[/C][/ROW]
[ROW][C]19[/C][C]-0.030539[/C][C]-0.2799[/C][C]0.390124[/C][/ROW]
[ROW][C]20[/C][C]-0.00179[/C][C]-0.0164[/C][C]0.493475[/C][/ROW]
[ROW][C]21[/C][C]-0.040569[/C][C]-0.3718[/C][C]0.35548[/C][/ROW]
[ROW][C]22[/C][C]-0.001206[/C][C]-0.0111[/C][C]0.495603[/C][/ROW]
[ROW][C]23[/C][C]-0.014726[/C][C]-0.135[/C][C]0.446482[/C][/ROW]
[ROW][C]24[/C][C]0.022991[/C][C]0.2107[/C][C]0.41681[/C][/ROW]
[ROW][C]25[/C][C]-0.027904[/C][C]-0.2557[/C][C]0.399388[/C][/ROW]
[ROW][C]26[/C][C]-0.017687[/C][C]-0.1621[/C][C]0.435808[/C][/ROW]
[ROW][C]27[/C][C]0.021261[/C][C]0.1949[/C][C]0.422987[/C][/ROW]
[ROW][C]28[/C][C]-0.019362[/C][C]-0.1775[/C][C]0.429788[/C][/ROW]
[ROW][C]29[/C][C]-0.016692[/C][C]-0.153[/C][C]0.439389[/C][/ROW]
[ROW][C]30[/C][C]-0.012058[/C][C]-0.1105[/C][C]0.456133[/C][/ROW]
[ROW][C]31[/C][C]-0.029223[/C][C]-0.2678[/C][C]0.394741[/C][/ROW]
[ROW][C]32[/C][C]0.002853[/C][C]0.0262[/C][C]0.489599[/C][/ROW]
[ROW][C]33[/C][C]-0.022638[/C][C]-0.2075[/C][C]0.418067[/C][/ROW]
[ROW][C]34[/C][C]-0.022396[/C][C]-0.2053[/C][C]0.418931[/C][/ROW]
[ROW][C]35[/C][C]-0.013435[/C][C]-0.1231[/C][C]0.451146[/C][/ROW]
[ROW][C]36[/C][C]-0.02147[/C][C]-0.1968[/C][C]0.422239[/C][/ROW]
[ROW][C]37[/C][C]-0.013633[/C][C]-0.1249[/C][C]0.450432[/C][/ROW]
[ROW][C]38[/C][C]-0.011061[/C][C]-0.1014[/C][C]0.459746[/C][/ROW]
[ROW][C]39[/C][C]-0.029048[/C][C]-0.2662[/C][C]0.395359[/C][/ROW]
[ROW][C]40[/C][C]-0.023143[/C][C]-0.2121[/C][C]0.416267[/C][/ROW]
[ROW][C]41[/C][C]-0.013306[/C][C]-0.122[/C][C]0.451614[/C][/ROW]
[ROW][C]42[/C][C]-0.01998[/C][C]-0.1831[/C][C]0.427571[/C][/ROW]
[ROW][C]43[/C][C]-0.029766[/C][C]-0.2728[/C][C]0.392836[/C][/ROW]
[ROW][C]44[/C][C]0.000697[/C][C]0.0064[/C][C]0.49746[/C][/ROW]
[ROW][C]45[/C][C]-0.0313[/C][C]-0.2869[/C][C]0.387461[/C][/ROW]
[ROW][C]46[/C][C]-0.018959[/C][C]-0.1738[/C][C]0.431235[/C][/ROW]
[ROW][C]47[/C][C]-0.028419[/C][C]-0.2605[/C][C]0.397572[/C][/ROW]
[ROW][C]48[/C][C]-0.002948[/C][C]-0.027[/C][C]0.489256[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39674&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39674&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
10.9529448.73390
2-0.067728-0.62070.268226
30.0593870.54430.29384
40.0309150.28330.388807
5-0.005946-0.05450.478335
6-0.014045-0.12870.448942
7-0.030398-0.27860.390619
8-0.002287-0.0210.491665
9-0.020604-0.18880.425339
10-0.021266-0.19490.422969
11-0.036523-0.33470.369329
12-0.000409-0.00370.49851
130.0057140.05240.479181
14-0.013993-0.12820.449129
15-0.028716-0.26320.396526
16-0.016793-0.15390.439026
17-0.040478-0.3710.355791
180.0071240.06530.474049
19-0.030539-0.27990.390124
20-0.00179-0.01640.493475
21-0.040569-0.37180.35548
22-0.001206-0.01110.495603
23-0.014726-0.1350.446482
240.0229910.21070.41681
25-0.027904-0.25570.399388
26-0.017687-0.16210.435808
270.0212610.19490.422987
28-0.019362-0.17750.429788
29-0.016692-0.1530.439389
30-0.012058-0.11050.456133
31-0.029223-0.26780.394741
320.0028530.02620.489599
33-0.022638-0.20750.418067
34-0.022396-0.20530.418931
35-0.013435-0.12310.451146
36-0.02147-0.19680.422239
37-0.013633-0.12490.450432
38-0.011061-0.10140.459746
39-0.029048-0.26620.395359
40-0.023143-0.21210.416267
41-0.013306-0.1220.451614
42-0.01998-0.18310.427571
43-0.029766-0.27280.392836
440.0006970.00640.49746
45-0.0313-0.28690.387461
46-0.018959-0.17380.431235
47-0.028419-0.26050.397572
48-0.002948-0.0270.489256



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')