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Time Series Analysis (new) - autocorrelation - gemiddelde prijs strip (tren...

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationThu, 14 May 2009 02:43:55 -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/14/t12422907650ju91ytlkvicmfc.htm/, Retrieved Sun, 28 Apr 2024 21:28:18 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=39945, Retrieved Sun, 28 Apr 2024 21:28:18 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact174
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [(Partial) Autocorrelation Function] [] [2008-12-16 08:41:39] [a18c43c8b63fa6800a53bb187b9ddd45]
-   PD  [(Partial) Autocorrelation Function] [Time Series Analy...] [2009-05-14 08:38:46] [40e8bd42426f0e7582df61f417649af3]
-   PD      [(Partial) Autocorrelation Function] [Time Series Analy...] [2009-05-14 08:43:55] [2c54c43cc67b7c768ab8b58e4cb451d8] [Current]
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Dataseries X:
5.11
5.11
5.11
5.1
5.1
5.1
5.1
5.1
5.12
5.25
5.26
5.26
5.26
5.26
5.26
5.26
5.29
5.3
5.33
5.33
5.35
5.38
5.38
5.38
5.38
5.38
5.39
5.39
5.4
5.4
5.4
5.4
5.4
5.41
5.41
5.41
5.41
5.41
5.42
5.42
5.42
5.42
5.43
5.43
5.45
5.51
5.51
5.51
5.51
5.51
5.51
5.53
5.53
5.53
5.53
5.52
5.53
5.54
5.54
5.57
5.56
5.57
5.58
5.61
5.66
5.68
5.69
5.7
5.72
5.71
5.69
5.7
5.7




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ 72.249.76.132

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39945&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39945&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39945&T=0

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ 72.249.76.132







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.1539731.30650.097769
2-0.028867-0.24490.403597
3-0.055017-0.46680.321013
4-0.1155-0.98010.165171
5-0.082611-0.7010.242788
6-0.162757-1.3810.085769
70.035840.30410.380961
8-0.042625-0.36170.359322
90.0420190.35650.361238
10-0.080458-0.68270.248491
110.0007730.00660.497391
120.1480231.2560.106586
13-0.077506-0.65770.256428
14-0.034275-0.29080.386006
15-0.099089-0.84080.201623
16-0.074859-0.63520.263656
170.0277160.23520.407368
18-0.016415-0.13930.444805
190.0874840.74230.230152
200.0066760.05660.477492
21-0.023447-0.1990.421429
22-0.03457-0.29330.385055
23-0.000356-0.0030.4988
240.0448610.38070.352289
25-0.078635-0.66720.253376
26-0.023077-0.19580.422653
27-0.02554-0.21670.414522
28-0.032638-0.27690.391308
290.0442630.37560.354165
30-0.035221-0.29890.382955
31-0.038346-0.32540.372921
32-0.08482-0.71970.237012
330.0074140.06290.475007
34-0.07207-0.61150.271386
350.0751790.63790.262775
360.2487652.11080.01913
37-0.039776-0.33750.368356
38-0.024563-0.20840.417744
39-0.071038-0.60280.274276
40-0.06316-0.53590.29683
41-0.032614-0.27670.391388
420.0192760.16360.435265
430.0351520.29830.383176
44-0.038321-0.32520.373
45-0.001407-0.01190.495253
46-0.025876-0.21960.413415
470.0700260.59420.277124
480.0455570.38660.350109

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.153973 & 1.3065 & 0.097769 \tabularnewline
2 & -0.028867 & -0.2449 & 0.403597 \tabularnewline
3 & -0.055017 & -0.4668 & 0.321013 \tabularnewline
4 & -0.1155 & -0.9801 & 0.165171 \tabularnewline
5 & -0.082611 & -0.701 & 0.242788 \tabularnewline
6 & -0.162757 & -1.381 & 0.085769 \tabularnewline
7 & 0.03584 & 0.3041 & 0.380961 \tabularnewline
8 & -0.042625 & -0.3617 & 0.359322 \tabularnewline
9 & 0.042019 & 0.3565 & 0.361238 \tabularnewline
10 & -0.080458 & -0.6827 & 0.248491 \tabularnewline
11 & 0.000773 & 0.0066 & 0.497391 \tabularnewline
12 & 0.148023 & 1.256 & 0.106586 \tabularnewline
13 & -0.077506 & -0.6577 & 0.256428 \tabularnewline
14 & -0.034275 & -0.2908 & 0.386006 \tabularnewline
15 & -0.099089 & -0.8408 & 0.201623 \tabularnewline
16 & -0.074859 & -0.6352 & 0.263656 \tabularnewline
17 & 0.027716 & 0.2352 & 0.407368 \tabularnewline
18 & -0.016415 & -0.1393 & 0.444805 \tabularnewline
19 & 0.087484 & 0.7423 & 0.230152 \tabularnewline
20 & 0.006676 & 0.0566 & 0.477492 \tabularnewline
21 & -0.023447 & -0.199 & 0.421429 \tabularnewline
22 & -0.03457 & -0.2933 & 0.385055 \tabularnewline
23 & -0.000356 & -0.003 & 0.4988 \tabularnewline
24 & 0.044861 & 0.3807 & 0.352289 \tabularnewline
25 & -0.078635 & -0.6672 & 0.253376 \tabularnewline
26 & -0.023077 & -0.1958 & 0.422653 \tabularnewline
27 & -0.02554 & -0.2167 & 0.414522 \tabularnewline
28 & -0.032638 & -0.2769 & 0.391308 \tabularnewline
29 & 0.044263 & 0.3756 & 0.354165 \tabularnewline
30 & -0.035221 & -0.2989 & 0.382955 \tabularnewline
31 & -0.038346 & -0.3254 & 0.372921 \tabularnewline
32 & -0.08482 & -0.7197 & 0.237012 \tabularnewline
33 & 0.007414 & 0.0629 & 0.475007 \tabularnewline
34 & -0.07207 & -0.6115 & 0.271386 \tabularnewline
35 & 0.075179 & 0.6379 & 0.262775 \tabularnewline
36 & 0.248765 & 2.1108 & 0.01913 \tabularnewline
37 & -0.039776 & -0.3375 & 0.368356 \tabularnewline
38 & -0.024563 & -0.2084 & 0.417744 \tabularnewline
39 & -0.071038 & -0.6028 & 0.274276 \tabularnewline
40 & -0.06316 & -0.5359 & 0.29683 \tabularnewline
41 & -0.032614 & -0.2767 & 0.391388 \tabularnewline
42 & 0.019276 & 0.1636 & 0.435265 \tabularnewline
43 & 0.035152 & 0.2983 & 0.383176 \tabularnewline
44 & -0.038321 & -0.3252 & 0.373 \tabularnewline
45 & -0.001407 & -0.0119 & 0.495253 \tabularnewline
46 & -0.025876 & -0.2196 & 0.413415 \tabularnewline
47 & 0.070026 & 0.5942 & 0.277124 \tabularnewline
48 & 0.045557 & 0.3866 & 0.350109 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39945&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]0.153973[/C][C]1.3065[/C][C]0.097769[/C][/ROW]
[ROW][C]2[/C][C]-0.028867[/C][C]-0.2449[/C][C]0.403597[/C][/ROW]
[ROW][C]3[/C][C]-0.055017[/C][C]-0.4668[/C][C]0.321013[/C][/ROW]
[ROW][C]4[/C][C]-0.1155[/C][C]-0.9801[/C][C]0.165171[/C][/ROW]
[ROW][C]5[/C][C]-0.082611[/C][C]-0.701[/C][C]0.242788[/C][/ROW]
[ROW][C]6[/C][C]-0.162757[/C][C]-1.381[/C][C]0.085769[/C][/ROW]
[ROW][C]7[/C][C]0.03584[/C][C]0.3041[/C][C]0.380961[/C][/ROW]
[ROW][C]8[/C][C]-0.042625[/C][C]-0.3617[/C][C]0.359322[/C][/ROW]
[ROW][C]9[/C][C]0.042019[/C][C]0.3565[/C][C]0.361238[/C][/ROW]
[ROW][C]10[/C][C]-0.080458[/C][C]-0.6827[/C][C]0.248491[/C][/ROW]
[ROW][C]11[/C][C]0.000773[/C][C]0.0066[/C][C]0.497391[/C][/ROW]
[ROW][C]12[/C][C]0.148023[/C][C]1.256[/C][C]0.106586[/C][/ROW]
[ROW][C]13[/C][C]-0.077506[/C][C]-0.6577[/C][C]0.256428[/C][/ROW]
[ROW][C]14[/C][C]-0.034275[/C][C]-0.2908[/C][C]0.386006[/C][/ROW]
[ROW][C]15[/C][C]-0.099089[/C][C]-0.8408[/C][C]0.201623[/C][/ROW]
[ROW][C]16[/C][C]-0.074859[/C][C]-0.6352[/C][C]0.263656[/C][/ROW]
[ROW][C]17[/C][C]0.027716[/C][C]0.2352[/C][C]0.407368[/C][/ROW]
[ROW][C]18[/C][C]-0.016415[/C][C]-0.1393[/C][C]0.444805[/C][/ROW]
[ROW][C]19[/C][C]0.087484[/C][C]0.7423[/C][C]0.230152[/C][/ROW]
[ROW][C]20[/C][C]0.006676[/C][C]0.0566[/C][C]0.477492[/C][/ROW]
[ROW][C]21[/C][C]-0.023447[/C][C]-0.199[/C][C]0.421429[/C][/ROW]
[ROW][C]22[/C][C]-0.03457[/C][C]-0.2933[/C][C]0.385055[/C][/ROW]
[ROW][C]23[/C][C]-0.000356[/C][C]-0.003[/C][C]0.4988[/C][/ROW]
[ROW][C]24[/C][C]0.044861[/C][C]0.3807[/C][C]0.352289[/C][/ROW]
[ROW][C]25[/C][C]-0.078635[/C][C]-0.6672[/C][C]0.253376[/C][/ROW]
[ROW][C]26[/C][C]-0.023077[/C][C]-0.1958[/C][C]0.422653[/C][/ROW]
[ROW][C]27[/C][C]-0.02554[/C][C]-0.2167[/C][C]0.414522[/C][/ROW]
[ROW][C]28[/C][C]-0.032638[/C][C]-0.2769[/C][C]0.391308[/C][/ROW]
[ROW][C]29[/C][C]0.044263[/C][C]0.3756[/C][C]0.354165[/C][/ROW]
[ROW][C]30[/C][C]-0.035221[/C][C]-0.2989[/C][C]0.382955[/C][/ROW]
[ROW][C]31[/C][C]-0.038346[/C][C]-0.3254[/C][C]0.372921[/C][/ROW]
[ROW][C]32[/C][C]-0.08482[/C][C]-0.7197[/C][C]0.237012[/C][/ROW]
[ROW][C]33[/C][C]0.007414[/C][C]0.0629[/C][C]0.475007[/C][/ROW]
[ROW][C]34[/C][C]-0.07207[/C][C]-0.6115[/C][C]0.271386[/C][/ROW]
[ROW][C]35[/C][C]0.075179[/C][C]0.6379[/C][C]0.262775[/C][/ROW]
[ROW][C]36[/C][C]0.248765[/C][C]2.1108[/C][C]0.01913[/C][/ROW]
[ROW][C]37[/C][C]-0.039776[/C][C]-0.3375[/C][C]0.368356[/C][/ROW]
[ROW][C]38[/C][C]-0.024563[/C][C]-0.2084[/C][C]0.417744[/C][/ROW]
[ROW][C]39[/C][C]-0.071038[/C][C]-0.6028[/C][C]0.274276[/C][/ROW]
[ROW][C]40[/C][C]-0.06316[/C][C]-0.5359[/C][C]0.29683[/C][/ROW]
[ROW][C]41[/C][C]-0.032614[/C][C]-0.2767[/C][C]0.391388[/C][/ROW]
[ROW][C]42[/C][C]0.019276[/C][C]0.1636[/C][C]0.435265[/C][/ROW]
[ROW][C]43[/C][C]0.035152[/C][C]0.2983[/C][C]0.383176[/C][/ROW]
[ROW][C]44[/C][C]-0.038321[/C][C]-0.3252[/C][C]0.373[/C][/ROW]
[ROW][C]45[/C][C]-0.001407[/C][C]-0.0119[/C][C]0.495253[/C][/ROW]
[ROW][C]46[/C][C]-0.025876[/C][C]-0.2196[/C][C]0.413415[/C][/ROW]
[ROW][C]47[/C][C]0.070026[/C][C]0.5942[/C][C]0.277124[/C][/ROW]
[ROW][C]48[/C][C]0.045557[/C][C]0.3866[/C][C]0.350109[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39945&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39945&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
10.1539731.30650.097769
2-0.028867-0.24490.403597
3-0.055017-0.46680.321013
4-0.1155-0.98010.165171
5-0.082611-0.7010.242788
6-0.162757-1.3810.085769
70.035840.30410.380961
8-0.042625-0.36170.359322
90.0420190.35650.361238
10-0.080458-0.68270.248491
110.0007730.00660.497391
120.1480231.2560.106586
13-0.077506-0.65770.256428
14-0.034275-0.29080.386006
15-0.099089-0.84080.201623
16-0.074859-0.63520.263656
170.0277160.23520.407368
18-0.016415-0.13930.444805
190.0874840.74230.230152
200.0066760.05660.477492
21-0.023447-0.1990.421429
22-0.03457-0.29330.385055
23-0.000356-0.0030.4988
240.0448610.38070.352289
25-0.078635-0.66720.253376
26-0.023077-0.19580.422653
27-0.02554-0.21670.414522
28-0.032638-0.27690.391308
290.0442630.37560.354165
30-0.035221-0.29890.382955
31-0.038346-0.32540.372921
32-0.08482-0.71970.237012
330.0074140.06290.475007
34-0.07207-0.61150.271386
350.0751790.63790.262775
360.2487652.11080.01913
37-0.039776-0.33750.368356
38-0.024563-0.20840.417744
39-0.071038-0.60280.274276
40-0.06316-0.53590.29683
41-0.032614-0.27670.391388
420.0192760.16360.435265
430.0351520.29830.383176
44-0.038321-0.32520.373
45-0.001407-0.01190.495253
46-0.025876-0.21960.413415
470.0700260.59420.277124
480.0455570.38660.350109







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.1539731.30650.097769
2-0.053852-0.45690.324542
3-0.043187-0.36650.357549
4-0.104363-0.88550.189405
5-0.054315-0.46090.323137
6-0.159194-1.35080.090493
70.0718660.60980.271956
8-0.097078-0.82370.206406
90.0460280.39060.348637
10-0.147491-1.25150.107402
110.0352870.29940.382741
120.1022990.8680.19413
13-0.114091-0.96810.16812
14-0.036462-0.30940.37896
15-0.088191-0.74830.228352
16-0.080662-0.68440.247948
170.0584350.49580.310761
18-0.04883-0.41430.33993
190.0434460.36870.356734
20-0.043493-0.36910.356586
21-0.073465-0.62340.267506
220.0042420.0360.485692
23-0.005471-0.04640.481551
240.0021130.01790.492872
25-0.071201-0.60420.273818
26-0.057542-0.48830.313423
270.0014550.01230.495092
28-0.056589-0.48020.316279
290.0269780.22890.409791
30-0.0742-0.62960.265472
31-0.11809-1.0020.159844
32-0.08239-0.69910.243371
330.0161340.13690.445745
34-0.128551-1.09080.1395
350.0910940.7730.22104
360.1393011.1820.120545
37-0.137544-1.16710.123511
38-0.040799-0.34620.365104
39-0.054774-0.46480.321749
40-0.070123-0.5950.27685
41-0.031722-0.26920.394283
420.0257430.21840.413855
43-0.041992-0.35630.361323
44-0.076578-0.64980.258948
45-0.065158-0.55290.291028
460.0059260.05030.480016
47-0.027151-0.23040.409223
48-0.055745-0.4730.318819

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.153973 & 1.3065 & 0.097769 \tabularnewline
2 & -0.053852 & -0.4569 & 0.324542 \tabularnewline
3 & -0.043187 & -0.3665 & 0.357549 \tabularnewline
4 & -0.104363 & -0.8855 & 0.189405 \tabularnewline
5 & -0.054315 & -0.4609 & 0.323137 \tabularnewline
6 & -0.159194 & -1.3508 & 0.090493 \tabularnewline
7 & 0.071866 & 0.6098 & 0.271956 \tabularnewline
8 & -0.097078 & -0.8237 & 0.206406 \tabularnewline
9 & 0.046028 & 0.3906 & 0.348637 \tabularnewline
10 & -0.147491 & -1.2515 & 0.107402 \tabularnewline
11 & 0.035287 & 0.2994 & 0.382741 \tabularnewline
12 & 0.102299 & 0.868 & 0.19413 \tabularnewline
13 & -0.114091 & -0.9681 & 0.16812 \tabularnewline
14 & -0.036462 & -0.3094 & 0.37896 \tabularnewline
15 & -0.088191 & -0.7483 & 0.228352 \tabularnewline
16 & -0.080662 & -0.6844 & 0.247948 \tabularnewline
17 & 0.058435 & 0.4958 & 0.310761 \tabularnewline
18 & -0.04883 & -0.4143 & 0.33993 \tabularnewline
19 & 0.043446 & 0.3687 & 0.356734 \tabularnewline
20 & -0.043493 & -0.3691 & 0.356586 \tabularnewline
21 & -0.073465 & -0.6234 & 0.267506 \tabularnewline
22 & 0.004242 & 0.036 & 0.485692 \tabularnewline
23 & -0.005471 & -0.0464 & 0.481551 \tabularnewline
24 & 0.002113 & 0.0179 & 0.492872 \tabularnewline
25 & -0.071201 & -0.6042 & 0.273818 \tabularnewline
26 & -0.057542 & -0.4883 & 0.313423 \tabularnewline
27 & 0.001455 & 0.0123 & 0.495092 \tabularnewline
28 & -0.056589 & -0.4802 & 0.316279 \tabularnewline
29 & 0.026978 & 0.2289 & 0.409791 \tabularnewline
30 & -0.0742 & -0.6296 & 0.265472 \tabularnewline
31 & -0.11809 & -1.002 & 0.159844 \tabularnewline
32 & -0.08239 & -0.6991 & 0.243371 \tabularnewline
33 & 0.016134 & 0.1369 & 0.445745 \tabularnewline
34 & -0.128551 & -1.0908 & 0.1395 \tabularnewline
35 & 0.091094 & 0.773 & 0.22104 \tabularnewline
36 & 0.139301 & 1.182 & 0.120545 \tabularnewline
37 & -0.137544 & -1.1671 & 0.123511 \tabularnewline
38 & -0.040799 & -0.3462 & 0.365104 \tabularnewline
39 & -0.054774 & -0.4648 & 0.321749 \tabularnewline
40 & -0.070123 & -0.595 & 0.27685 \tabularnewline
41 & -0.031722 & -0.2692 & 0.394283 \tabularnewline
42 & 0.025743 & 0.2184 & 0.413855 \tabularnewline
43 & -0.041992 & -0.3563 & 0.361323 \tabularnewline
44 & -0.076578 & -0.6498 & 0.258948 \tabularnewline
45 & -0.065158 & -0.5529 & 0.291028 \tabularnewline
46 & 0.005926 & 0.0503 & 0.480016 \tabularnewline
47 & -0.027151 & -0.2304 & 0.409223 \tabularnewline
48 & -0.055745 & -0.473 & 0.318819 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39945&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]0.153973[/C][C]1.3065[/C][C]0.097769[/C][/ROW]
[ROW][C]2[/C][C]-0.053852[/C][C]-0.4569[/C][C]0.324542[/C][/ROW]
[ROW][C]3[/C][C]-0.043187[/C][C]-0.3665[/C][C]0.357549[/C][/ROW]
[ROW][C]4[/C][C]-0.104363[/C][C]-0.8855[/C][C]0.189405[/C][/ROW]
[ROW][C]5[/C][C]-0.054315[/C][C]-0.4609[/C][C]0.323137[/C][/ROW]
[ROW][C]6[/C][C]-0.159194[/C][C]-1.3508[/C][C]0.090493[/C][/ROW]
[ROW][C]7[/C][C]0.071866[/C][C]0.6098[/C][C]0.271956[/C][/ROW]
[ROW][C]8[/C][C]-0.097078[/C][C]-0.8237[/C][C]0.206406[/C][/ROW]
[ROW][C]9[/C][C]0.046028[/C][C]0.3906[/C][C]0.348637[/C][/ROW]
[ROW][C]10[/C][C]-0.147491[/C][C]-1.2515[/C][C]0.107402[/C][/ROW]
[ROW][C]11[/C][C]0.035287[/C][C]0.2994[/C][C]0.382741[/C][/ROW]
[ROW][C]12[/C][C]0.102299[/C][C]0.868[/C][C]0.19413[/C][/ROW]
[ROW][C]13[/C][C]-0.114091[/C][C]-0.9681[/C][C]0.16812[/C][/ROW]
[ROW][C]14[/C][C]-0.036462[/C][C]-0.3094[/C][C]0.37896[/C][/ROW]
[ROW][C]15[/C][C]-0.088191[/C][C]-0.7483[/C][C]0.228352[/C][/ROW]
[ROW][C]16[/C][C]-0.080662[/C][C]-0.6844[/C][C]0.247948[/C][/ROW]
[ROW][C]17[/C][C]0.058435[/C][C]0.4958[/C][C]0.310761[/C][/ROW]
[ROW][C]18[/C][C]-0.04883[/C][C]-0.4143[/C][C]0.33993[/C][/ROW]
[ROW][C]19[/C][C]0.043446[/C][C]0.3687[/C][C]0.356734[/C][/ROW]
[ROW][C]20[/C][C]-0.043493[/C][C]-0.3691[/C][C]0.356586[/C][/ROW]
[ROW][C]21[/C][C]-0.073465[/C][C]-0.6234[/C][C]0.267506[/C][/ROW]
[ROW][C]22[/C][C]0.004242[/C][C]0.036[/C][C]0.485692[/C][/ROW]
[ROW][C]23[/C][C]-0.005471[/C][C]-0.0464[/C][C]0.481551[/C][/ROW]
[ROW][C]24[/C][C]0.002113[/C][C]0.0179[/C][C]0.492872[/C][/ROW]
[ROW][C]25[/C][C]-0.071201[/C][C]-0.6042[/C][C]0.273818[/C][/ROW]
[ROW][C]26[/C][C]-0.057542[/C][C]-0.4883[/C][C]0.313423[/C][/ROW]
[ROW][C]27[/C][C]0.001455[/C][C]0.0123[/C][C]0.495092[/C][/ROW]
[ROW][C]28[/C][C]-0.056589[/C][C]-0.4802[/C][C]0.316279[/C][/ROW]
[ROW][C]29[/C][C]0.026978[/C][C]0.2289[/C][C]0.409791[/C][/ROW]
[ROW][C]30[/C][C]-0.0742[/C][C]-0.6296[/C][C]0.265472[/C][/ROW]
[ROW][C]31[/C][C]-0.11809[/C][C]-1.002[/C][C]0.159844[/C][/ROW]
[ROW][C]32[/C][C]-0.08239[/C][C]-0.6991[/C][C]0.243371[/C][/ROW]
[ROW][C]33[/C][C]0.016134[/C][C]0.1369[/C][C]0.445745[/C][/ROW]
[ROW][C]34[/C][C]-0.128551[/C][C]-1.0908[/C][C]0.1395[/C][/ROW]
[ROW][C]35[/C][C]0.091094[/C][C]0.773[/C][C]0.22104[/C][/ROW]
[ROW][C]36[/C][C]0.139301[/C][C]1.182[/C][C]0.120545[/C][/ROW]
[ROW][C]37[/C][C]-0.137544[/C][C]-1.1671[/C][C]0.123511[/C][/ROW]
[ROW][C]38[/C][C]-0.040799[/C][C]-0.3462[/C][C]0.365104[/C][/ROW]
[ROW][C]39[/C][C]-0.054774[/C][C]-0.4648[/C][C]0.321749[/C][/ROW]
[ROW][C]40[/C][C]-0.070123[/C][C]-0.595[/C][C]0.27685[/C][/ROW]
[ROW][C]41[/C][C]-0.031722[/C][C]-0.2692[/C][C]0.394283[/C][/ROW]
[ROW][C]42[/C][C]0.025743[/C][C]0.2184[/C][C]0.413855[/C][/ROW]
[ROW][C]43[/C][C]-0.041992[/C][C]-0.3563[/C][C]0.361323[/C][/ROW]
[ROW][C]44[/C][C]-0.076578[/C][C]-0.6498[/C][C]0.258948[/C][/ROW]
[ROW][C]45[/C][C]-0.065158[/C][C]-0.5529[/C][C]0.291028[/C][/ROW]
[ROW][C]46[/C][C]0.005926[/C][C]0.0503[/C][C]0.480016[/C][/ROW]
[ROW][C]47[/C][C]-0.027151[/C][C]-0.2304[/C][C]0.409223[/C][/ROW]
[ROW][C]48[/C][C]-0.055745[/C][C]-0.473[/C][C]0.318819[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39945&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39945&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
10.1539731.30650.097769
2-0.053852-0.45690.324542
3-0.043187-0.36650.357549
4-0.104363-0.88550.189405
5-0.054315-0.46090.323137
6-0.159194-1.35080.090493
70.0718660.60980.271956
8-0.097078-0.82370.206406
90.0460280.39060.348637
10-0.147491-1.25150.107402
110.0352870.29940.382741
120.1022990.8680.19413
13-0.114091-0.96810.16812
14-0.036462-0.30940.37896
15-0.088191-0.74830.228352
16-0.080662-0.68440.247948
170.0584350.49580.310761
18-0.04883-0.41430.33993
190.0434460.36870.356734
20-0.043493-0.36910.356586
21-0.073465-0.62340.267506
220.0042420.0360.485692
23-0.005471-0.04640.481551
240.0021130.01790.492872
25-0.071201-0.60420.273818
26-0.057542-0.48830.313423
270.0014550.01230.495092
28-0.056589-0.48020.316279
290.0269780.22890.409791
30-0.0742-0.62960.265472
31-0.11809-1.0020.159844
32-0.08239-0.69910.243371
330.0161340.13690.445745
34-0.128551-1.09080.1395
350.0910940.7730.22104
360.1393011.1820.120545
37-0.137544-1.16710.123511
38-0.040799-0.34620.365104
39-0.054774-0.46480.321749
40-0.070123-0.5950.27685
41-0.031722-0.26920.394283
420.0257430.21840.413855
43-0.041992-0.35630.361323
44-0.076578-0.64980.258948
45-0.065158-0.55290.291028
460.0059260.05030.480016
47-0.027151-0.23040.409223
48-0.055745-0.4730.318819



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 1 ; 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')