## 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 computationThu, 12 Dec 2013 03:29:23 -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/2013/Dec/12/t13868369761dzy8h7a7wx23zd.htm/, Retrieved Tue, 07 Dec 2021 11:13:55 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=232213, Retrieved Tue, 07 Dec 2021 11:13:55 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact67
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [] [2013-12-12 08:29:23] [9e6a405f514733ea23d87e4507d39d29] [Current]
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Dataseries X:
164
96
73
49
39
59
169
169
210
278
298
245
200
188
90
79
78
91
167
169
289
247
275
203
223
104
107
85
75
99
135
211
335
488
326
346
261
224
141
148
145
223
272
445
560
612
467
404
518
404
300
210
196
186
247
343
464
680
711
610
513
292
273
322
189
257
324
404
677
858
895
664
628
308
324
248
272

 Summary of computational transaction Raw Input view raw input (R code) Raw Output view raw output of R engine Computing time 5 seconds R Server 'Sir Maurice George Kendall' @ kendall.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 & 5 seconds \tabularnewline
R Server & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232213&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]5 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=232213&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232213&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 5 seconds R Server 'Sir Maurice George Kendall' @ kendall.wessa.net

 Autocorrelation Function Time lag k ACF(k) T-STAT P-value 1 0.277631 2.4203 0.008947 2 0.229729 2.0027 0.024386 3 -0.131974 -1.1505 0.126768 4 -0.248477 -2.1662 0.016717 5 -0.412365 -3.5949 0.000287 6 -0.331555 -2.8904 0.002506 7 -0.336216 -2.9311 0.00223 8 -0.248679 -2.1679 0.016647 9 0.04581 0.3994 0.345374 10 0.111425 0.9714 0.167221 11 0.339383 2.9587 0.002059 12 0.43424 3.7856 0.000152 13 0.323029 2.8161 0.003095 14 0.119397 1.0409 0.150615 15 0.073812 0.6435 0.260925 16 -0.268925 -2.3444 0.010835 17 -0.265657 -2.3159 0.01163 18 -0.316891 -2.7626 0.003594 19 -0.269873 -2.3527 0.010613 20 -0.096581 -0.842 0.201222 21 -0.008652 -0.0754 0.470037 22 0.10088 0.8795 0.190965 23 0.125211 1.0916 0.139237 24 0.334356 2.9148 0.002337 25 0.260121 2.2677 0.013095 26 0.187187 1.6319 0.053424 27 0.080975 0.7059 0.241197 28 -0.143177 -1.2482 0.107897 29 -0.233386 -2.0346 0.022689 30 -0.219101 -1.9101 0.029948 31 -0.203046 -1.7701 0.04036 32 -0.178178 -1.5533 0.062251 33 0.019055 0.1661 0.434253 34 0.002718 0.0237 0.490578 35 0.200697 1.7496 0.042109 36 0.192959 1.6822 0.04832 37 0.248179 2.1636 0.01682 38 0.047382 0.4131 0.340362 39 0.101016 0.8806 0.190645 40 -0.162632 -1.4178 0.080169 41 -0.154769 -1.3492 0.090632 42 -0.146908 -1.2807 0.102094 43 -0.141575 -1.2342 0.110461 44 -0.101156 -0.8819 0.190316 45 -0.011124 -0.097 0.461499 46 0.051141 0.4458 0.328492 47 0.058017 0.5058 0.307238 48 0.189038 1.648 0.051741

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.277631 & 2.4203 & 0.008947 \tabularnewline
2 & 0.229729 & 2.0027 & 0.024386 \tabularnewline
3 & -0.131974 & -1.1505 & 0.126768 \tabularnewline
4 & -0.248477 & -2.1662 & 0.016717 \tabularnewline
5 & -0.412365 & -3.5949 & 0.000287 \tabularnewline
6 & -0.331555 & -2.8904 & 0.002506 \tabularnewline
7 & -0.336216 & -2.9311 & 0.00223 \tabularnewline
8 & -0.248679 & -2.1679 & 0.016647 \tabularnewline
9 & 0.04581 & 0.3994 & 0.345374 \tabularnewline
10 & 0.111425 & 0.9714 & 0.167221 \tabularnewline
11 & 0.339383 & 2.9587 & 0.002059 \tabularnewline
12 & 0.43424 & 3.7856 & 0.000152 \tabularnewline
13 & 0.323029 & 2.8161 & 0.003095 \tabularnewline
14 & 0.119397 & 1.0409 & 0.150615 \tabularnewline
15 & 0.073812 & 0.6435 & 0.260925 \tabularnewline
16 & -0.268925 & -2.3444 & 0.010835 \tabularnewline
17 & -0.265657 & -2.3159 & 0.01163 \tabularnewline
18 & -0.316891 & -2.7626 & 0.003594 \tabularnewline
19 & -0.269873 & -2.3527 & 0.010613 \tabularnewline
20 & -0.096581 & -0.842 & 0.201222 \tabularnewline
21 & -0.008652 & -0.0754 & 0.470037 \tabularnewline
22 & 0.10088 & 0.8795 & 0.190965 \tabularnewline
23 & 0.125211 & 1.0916 & 0.139237 \tabularnewline
24 & 0.334356 & 2.9148 & 0.002337 \tabularnewline
25 & 0.260121 & 2.2677 & 0.013095 \tabularnewline
26 & 0.187187 & 1.6319 & 0.053424 \tabularnewline
27 & 0.080975 & 0.7059 & 0.241197 \tabularnewline
28 & -0.143177 & -1.2482 & 0.107897 \tabularnewline
29 & -0.233386 & -2.0346 & 0.022689 \tabularnewline
30 & -0.219101 & -1.9101 & 0.029948 \tabularnewline
31 & -0.203046 & -1.7701 & 0.04036 \tabularnewline
32 & -0.178178 & -1.5533 & 0.062251 \tabularnewline
33 & 0.019055 & 0.1661 & 0.434253 \tabularnewline
34 & 0.002718 & 0.0237 & 0.490578 \tabularnewline
35 & 0.200697 & 1.7496 & 0.042109 \tabularnewline
36 & 0.192959 & 1.6822 & 0.04832 \tabularnewline
37 & 0.248179 & 2.1636 & 0.01682 \tabularnewline
38 & 0.047382 & 0.4131 & 0.340362 \tabularnewline
39 & 0.101016 & 0.8806 & 0.190645 \tabularnewline
40 & -0.162632 & -1.4178 & 0.080169 \tabularnewline
41 & -0.154769 & -1.3492 & 0.090632 \tabularnewline
42 & -0.146908 & -1.2807 & 0.102094 \tabularnewline
43 & -0.141575 & -1.2342 & 0.110461 \tabularnewline
44 & -0.101156 & -0.8819 & 0.190316 \tabularnewline
45 & -0.011124 & -0.097 & 0.461499 \tabularnewline
46 & 0.051141 & 0.4458 & 0.328492 \tabularnewline
47 & 0.058017 & 0.5058 & 0.307238 \tabularnewline
48 & 0.189038 & 1.648 & 0.051741 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232213&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]0.277631[/C][C]2.4203[/C][C]0.008947[/C][/ROW]
[ROW][C]2[/C][C]0.229729[/C][C]2.0027[/C][C]0.024386[/C][/ROW]
[ROW][C]3[/C][C]-0.131974[/C][C]-1.1505[/C][C]0.126768[/C][/ROW]
[ROW][C]4[/C][C]-0.248477[/C][C]-2.1662[/C][C]0.016717[/C][/ROW]
[ROW][C]5[/C][C]-0.412365[/C][C]-3.5949[/C][C]0.000287[/C][/ROW]
[ROW][C]6[/C][C]-0.331555[/C][C]-2.8904[/C][C]0.002506[/C][/ROW]
[ROW][C]7[/C][C]-0.336216[/C][C]-2.9311[/C][C]0.00223[/C][/ROW]
[ROW][C]8[/C][C]-0.248679[/C][C]-2.1679[/C][C]0.016647[/C][/ROW]
[ROW][C]9[/C][C]0.04581[/C][C]0.3994[/C][C]0.345374[/C][/ROW]
[ROW][C]10[/C][C]0.111425[/C][C]0.9714[/C][C]0.167221[/C][/ROW]
[ROW][C]11[/C][C]0.339383[/C][C]2.9587[/C][C]0.002059[/C][/ROW]
[ROW][C]12[/C][C]0.43424[/C][C]3.7856[/C][C]0.000152[/C][/ROW]
[ROW][C]13[/C][C]0.323029[/C][C]2.8161[/C][C]0.003095[/C][/ROW]
[ROW][C]14[/C][C]0.119397[/C][C]1.0409[/C][C]0.150615[/C][/ROW]
[ROW][C]15[/C][C]0.073812[/C][C]0.6435[/C][C]0.260925[/C][/ROW]
[ROW][C]16[/C][C]-0.268925[/C][C]-2.3444[/C][C]0.010835[/C][/ROW]
[ROW][C]17[/C][C]-0.265657[/C][C]-2.3159[/C][C]0.01163[/C][/ROW]
[ROW][C]18[/C][C]-0.316891[/C][C]-2.7626[/C][C]0.003594[/C][/ROW]
[ROW][C]19[/C][C]-0.269873[/C][C]-2.3527[/C][C]0.010613[/C][/ROW]
[ROW][C]20[/C][C]-0.096581[/C][C]-0.842[/C][C]0.201222[/C][/ROW]
[ROW][C]21[/C][C]-0.008652[/C][C]-0.0754[/C][C]0.470037[/C][/ROW]
[ROW][C]22[/C][C]0.10088[/C][C]0.8795[/C][C]0.190965[/C][/ROW]
[ROW][C]23[/C][C]0.125211[/C][C]1.0916[/C][C]0.139237[/C][/ROW]
[ROW][C]24[/C][C]0.334356[/C][C]2.9148[/C][C]0.002337[/C][/ROW]
[ROW][C]25[/C][C]0.260121[/C][C]2.2677[/C][C]0.013095[/C][/ROW]
[ROW][C]26[/C][C]0.187187[/C][C]1.6319[/C][C]0.053424[/C][/ROW]
[ROW][C]27[/C][C]0.080975[/C][C]0.7059[/C][C]0.241197[/C][/ROW]
[ROW][C]28[/C][C]-0.143177[/C][C]-1.2482[/C][C]0.107897[/C][/ROW]
[ROW][C]29[/C][C]-0.233386[/C][C]-2.0346[/C][C]0.022689[/C][/ROW]
[ROW][C]30[/C][C]-0.219101[/C][C]-1.9101[/C][C]0.029948[/C][/ROW]
[ROW][C]31[/C][C]-0.203046[/C][C]-1.7701[/C][C]0.04036[/C][/ROW]
[ROW][C]32[/C][C]-0.178178[/C][C]-1.5533[/C][C]0.062251[/C][/ROW]
[ROW][C]33[/C][C]0.019055[/C][C]0.1661[/C][C]0.434253[/C][/ROW]
[ROW][C]34[/C][C]0.002718[/C][C]0.0237[/C][C]0.490578[/C][/ROW]
[ROW][C]35[/C][C]0.200697[/C][C]1.7496[/C][C]0.042109[/C][/ROW]
[ROW][C]36[/C][C]0.192959[/C][C]1.6822[/C][C]0.04832[/C][/ROW]
[ROW][C]37[/C][C]0.248179[/C][C]2.1636[/C][C]0.01682[/C][/ROW]
[ROW][C]38[/C][C]0.047382[/C][C]0.4131[/C][C]0.340362[/C][/ROW]
[ROW][C]39[/C][C]0.101016[/C][C]0.8806[/C][C]0.190645[/C][/ROW]
[ROW][C]40[/C][C]-0.162632[/C][C]-1.4178[/C][C]0.080169[/C][/ROW]
[ROW][C]41[/C][C]-0.154769[/C][C]-1.3492[/C][C]0.090632[/C][/ROW]
[ROW][C]42[/C][C]-0.146908[/C][C]-1.2807[/C][C]0.102094[/C][/ROW]
[ROW][C]43[/C][C]-0.141575[/C][C]-1.2342[/C][C]0.110461[/C][/ROW]
[ROW][C]44[/C][C]-0.101156[/C][C]-0.8819[/C][C]0.190316[/C][/ROW]
[ROW][C]45[/C][C]-0.011124[/C][C]-0.097[/C][C]0.461499[/C][/ROW]
[ROW][C]46[/C][C]0.051141[/C][C]0.4458[/C][C]0.328492[/C][/ROW]
[ROW][C]47[/C][C]0.058017[/C][C]0.5058[/C][C]0.307238[/C][/ROW]
[ROW][C]48[/C][C]0.189038[/C][C]1.648[/C][C]0.051741[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=232213&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232213&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 0.277631 2.4203 0.008947 2 0.229729 2.0027 0.024386 3 -0.131974 -1.1505 0.126768 4 -0.248477 -2.1662 0.016717 5 -0.412365 -3.5949 0.000287 6 -0.331555 -2.8904 0.002506 7 -0.336216 -2.9311 0.00223 8 -0.248679 -2.1679 0.016647 9 0.04581 0.3994 0.345374 10 0.111425 0.9714 0.167221 11 0.339383 2.9587 0.002059 12 0.43424 3.7856 0.000152 13 0.323029 2.8161 0.003095 14 0.119397 1.0409 0.150615 15 0.073812 0.6435 0.260925 16 -0.268925 -2.3444 0.010835 17 -0.265657 -2.3159 0.01163 18 -0.316891 -2.7626 0.003594 19 -0.269873 -2.3527 0.010613 20 -0.096581 -0.842 0.201222 21 -0.008652 -0.0754 0.470037 22 0.10088 0.8795 0.190965 23 0.125211 1.0916 0.139237 24 0.334356 2.9148 0.002337 25 0.260121 2.2677 0.013095 26 0.187187 1.6319 0.053424 27 0.080975 0.7059 0.241197 28 -0.143177 -1.2482 0.107897 29 -0.233386 -2.0346 0.022689 30 -0.219101 -1.9101 0.029948 31 -0.203046 -1.7701 0.04036 32 -0.178178 -1.5533 0.062251 33 0.019055 0.1661 0.434253 34 0.002718 0.0237 0.490578 35 0.200697 1.7496 0.042109 36 0.192959 1.6822 0.04832 37 0.248179 2.1636 0.01682 38 0.047382 0.4131 0.340362 39 0.101016 0.8806 0.190645 40 -0.162632 -1.4178 0.080169 41 -0.154769 -1.3492 0.090632 42 -0.146908 -1.2807 0.102094 43 -0.141575 -1.2342 0.110461 44 -0.101156 -0.8819 0.190316 45 -0.011124 -0.097 0.461499 46 0.051141 0.4458 0.328492 47 0.058017 0.5058 0.307238 48 0.189038 1.648 0.051741

 Partial Autocorrelation Function Time lag k PACF(k) T-STAT P-value 1 0.277631 2.4203 0.008947 2 0.165399 1.4419 0.076718 3 -0.257471 -2.2446 0.013852 4 -0.229665 -2.0022 0.024417 5 -0.26946 -2.3491 0.010709 6 -0.155065 -1.3518 0.09022 7 -0.237549 -2.0709 0.020882 8 -0.325671 -2.8391 0.0029 9 -0.045968 -0.4007 0.344869 10 -0.161201 -1.4053 0.082001 11 -0.025738 -0.2244 0.411533 12 0.156594 1.3652 0.088116 13 0.004113 0.0359 0.485745 14 -0.073326 -0.6392 0.262295 15 0.144037 1.2557 0.106538 16 -0.12773 -1.1135 0.134496 17 -2.2e-05 -2e-04 0.499922 18 0.004709 0.0411 0.483679 19 -0.052494 -0.4576 0.324262 20 0.136508 1.19 0.118866 21 -0.094775 -0.8262 0.20563 22 -0.073544 -0.6411 0.261681 23 -0.117664 -1.0258 0.154126 24 0.004502 0.0392 0.484398 25 0.136719 1.1919 0.118506 26 -0.066164 -0.5768 0.282888 27 0.044998 0.3923 0.347973 28 0.011965 0.1043 0.4586 29 -0.07057 -0.6152 0.270124 30 0.090203 0.7864 0.217049 31 0.036291 0.3164 0.376293 32 -0.119686 -1.0434 0.150035 33 0.135676 1.1828 0.120289 34 -0.075181 -0.6554 0.257091 35 0.104792 0.9136 0.18192 36 0.015617 0.1361 0.446032 37 -0.049379 -0.4305 0.334035 38 -0.023247 -0.2027 0.41997 39 -0.029315 -0.2556 0.399491 40 -0.136978 -1.1941 0.118068 41 0.023987 0.2091 0.417459 42 -0.033168 -0.2892 0.386625 43 0.088008 0.7672 0.222658 44 -0.046518 -0.4055 0.343114 45 -0.122827 -1.0708 0.143829 46 0.040035 0.349 0.364021 47 -0.123582 -1.0774 0.142364 48 0.006242 0.0544 0.478373

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.277631 & 2.4203 & 0.008947 \tabularnewline
2 & 0.165399 & 1.4419 & 0.076718 \tabularnewline
3 & -0.257471 & -2.2446 & 0.013852 \tabularnewline
4 & -0.229665 & -2.0022 & 0.024417 \tabularnewline
5 & -0.26946 & -2.3491 & 0.010709 \tabularnewline
6 & -0.155065 & -1.3518 & 0.09022 \tabularnewline
7 & -0.237549 & -2.0709 & 0.020882 \tabularnewline
8 & -0.325671 & -2.8391 & 0.0029 \tabularnewline
9 & -0.045968 & -0.4007 & 0.344869 \tabularnewline
10 & -0.161201 & -1.4053 & 0.082001 \tabularnewline
11 & -0.025738 & -0.2244 & 0.411533 \tabularnewline
12 & 0.156594 & 1.3652 & 0.088116 \tabularnewline
13 & 0.004113 & 0.0359 & 0.485745 \tabularnewline
14 & -0.073326 & -0.6392 & 0.262295 \tabularnewline
15 & 0.144037 & 1.2557 & 0.106538 \tabularnewline
16 & -0.12773 & -1.1135 & 0.134496 \tabularnewline
17 & -2.2e-05 & -2e-04 & 0.499922 \tabularnewline
18 & 0.004709 & 0.0411 & 0.483679 \tabularnewline
19 & -0.052494 & -0.4576 & 0.324262 \tabularnewline
20 & 0.136508 & 1.19 & 0.118866 \tabularnewline
21 & -0.094775 & -0.8262 & 0.20563 \tabularnewline
22 & -0.073544 & -0.6411 & 0.261681 \tabularnewline
23 & -0.117664 & -1.0258 & 0.154126 \tabularnewline
24 & 0.004502 & 0.0392 & 0.484398 \tabularnewline
25 & 0.136719 & 1.1919 & 0.118506 \tabularnewline
26 & -0.066164 & -0.5768 & 0.282888 \tabularnewline
27 & 0.044998 & 0.3923 & 0.347973 \tabularnewline
28 & 0.011965 & 0.1043 & 0.4586 \tabularnewline
29 & -0.07057 & -0.6152 & 0.270124 \tabularnewline
30 & 0.090203 & 0.7864 & 0.217049 \tabularnewline
31 & 0.036291 & 0.3164 & 0.376293 \tabularnewline
32 & -0.119686 & -1.0434 & 0.150035 \tabularnewline
33 & 0.135676 & 1.1828 & 0.120289 \tabularnewline
34 & -0.075181 & -0.6554 & 0.257091 \tabularnewline
35 & 0.104792 & 0.9136 & 0.18192 \tabularnewline
36 & 0.015617 & 0.1361 & 0.446032 \tabularnewline
37 & -0.049379 & -0.4305 & 0.334035 \tabularnewline
38 & -0.023247 & -0.2027 & 0.41997 \tabularnewline
39 & -0.029315 & -0.2556 & 0.399491 \tabularnewline
40 & -0.136978 & -1.1941 & 0.118068 \tabularnewline
41 & 0.023987 & 0.2091 & 0.417459 \tabularnewline
42 & -0.033168 & -0.2892 & 0.386625 \tabularnewline
43 & 0.088008 & 0.7672 & 0.222658 \tabularnewline
44 & -0.046518 & -0.4055 & 0.343114 \tabularnewline
45 & -0.122827 & -1.0708 & 0.143829 \tabularnewline
46 & 0.040035 & 0.349 & 0.364021 \tabularnewline
47 & -0.123582 & -1.0774 & 0.142364 \tabularnewline
48 & 0.006242 & 0.0544 & 0.478373 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232213&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]0.277631[/C][C]2.4203[/C][C]0.008947[/C][/ROW]
[ROW][C]2[/C][C]0.165399[/C][C]1.4419[/C][C]0.076718[/C][/ROW]
[ROW][C]3[/C][C]-0.257471[/C][C]-2.2446[/C][C]0.013852[/C][/ROW]
[ROW][C]4[/C][C]-0.229665[/C][C]-2.0022[/C][C]0.024417[/C][/ROW]
[ROW][C]5[/C][C]-0.26946[/C][C]-2.3491[/C][C]0.010709[/C][/ROW]
[ROW][C]6[/C][C]-0.155065[/C][C]-1.3518[/C][C]0.09022[/C][/ROW]
[ROW][C]7[/C][C]-0.237549[/C][C]-2.0709[/C][C]0.020882[/C][/ROW]
[ROW][C]8[/C][C]-0.325671[/C][C]-2.8391[/C][C]0.0029[/C][/ROW]
[ROW][C]9[/C][C]-0.045968[/C][C]-0.4007[/C][C]0.344869[/C][/ROW]
[ROW][C]10[/C][C]-0.161201[/C][C]-1.4053[/C][C]0.082001[/C][/ROW]
[ROW][C]11[/C][C]-0.025738[/C][C]-0.2244[/C][C]0.411533[/C][/ROW]
[ROW][C]12[/C][C]0.156594[/C][C]1.3652[/C][C]0.088116[/C][/ROW]
[ROW][C]13[/C][C]0.004113[/C][C]0.0359[/C][C]0.485745[/C][/ROW]
[ROW][C]14[/C][C]-0.073326[/C][C]-0.6392[/C][C]0.262295[/C][/ROW]
[ROW][C]15[/C][C]0.144037[/C][C]1.2557[/C][C]0.106538[/C][/ROW]
[ROW][C]16[/C][C]-0.12773[/C][C]-1.1135[/C][C]0.134496[/C][/ROW]
[ROW][C]17[/C][C]-2.2e-05[/C][C]-2e-04[/C][C]0.499922[/C][/ROW]
[ROW][C]18[/C][C]0.004709[/C][C]0.0411[/C][C]0.483679[/C][/ROW]
[ROW][C]19[/C][C]-0.052494[/C][C]-0.4576[/C][C]0.324262[/C][/ROW]
[ROW][C]20[/C][C]0.136508[/C][C]1.19[/C][C]0.118866[/C][/ROW]
[ROW][C]21[/C][C]-0.094775[/C][C]-0.8262[/C][C]0.20563[/C][/ROW]
[ROW][C]22[/C][C]-0.073544[/C][C]-0.6411[/C][C]0.261681[/C][/ROW]
[ROW][C]23[/C][C]-0.117664[/C][C]-1.0258[/C][C]0.154126[/C][/ROW]
[ROW][C]24[/C][C]0.004502[/C][C]0.0392[/C][C]0.484398[/C][/ROW]
[ROW][C]25[/C][C]0.136719[/C][C]1.1919[/C][C]0.118506[/C][/ROW]
[ROW][C]26[/C][C]-0.066164[/C][C]-0.5768[/C][C]0.282888[/C][/ROW]
[ROW][C]27[/C][C]0.044998[/C][C]0.3923[/C][C]0.347973[/C][/ROW]
[ROW][C]28[/C][C]0.011965[/C][C]0.1043[/C][C]0.4586[/C][/ROW]
[ROW][C]29[/C][C]-0.07057[/C][C]-0.6152[/C][C]0.270124[/C][/ROW]
[ROW][C]30[/C][C]0.090203[/C][C]0.7864[/C][C]0.217049[/C][/ROW]
[ROW][C]31[/C][C]0.036291[/C][C]0.3164[/C][C]0.376293[/C][/ROW]
[ROW][C]32[/C][C]-0.119686[/C][C]-1.0434[/C][C]0.150035[/C][/ROW]
[ROW][C]33[/C][C]0.135676[/C][C]1.1828[/C][C]0.120289[/C][/ROW]
[ROW][C]34[/C][C]-0.075181[/C][C]-0.6554[/C][C]0.257091[/C][/ROW]
[ROW][C]35[/C][C]0.104792[/C][C]0.9136[/C][C]0.18192[/C][/ROW]
[ROW][C]36[/C][C]0.015617[/C][C]0.1361[/C][C]0.446032[/C][/ROW]
[ROW][C]37[/C][C]-0.049379[/C][C]-0.4305[/C][C]0.334035[/C][/ROW]
[ROW][C]38[/C][C]-0.023247[/C][C]-0.2027[/C][C]0.41997[/C][/ROW]
[ROW][C]39[/C][C]-0.029315[/C][C]-0.2556[/C][C]0.399491[/C][/ROW]
[ROW][C]40[/C][C]-0.136978[/C][C]-1.1941[/C][C]0.118068[/C][/ROW]
[ROW][C]41[/C][C]0.023987[/C][C]0.2091[/C][C]0.417459[/C][/ROW]
[ROW][C]42[/C][C]-0.033168[/C][C]-0.2892[/C][C]0.386625[/C][/ROW]
[ROW][C]43[/C][C]0.088008[/C][C]0.7672[/C][C]0.222658[/C][/ROW]
[ROW][C]44[/C][C]-0.046518[/C][C]-0.4055[/C][C]0.343114[/C][/ROW]
[ROW][C]45[/C][C]-0.122827[/C][C]-1.0708[/C][C]0.143829[/C][/ROW]
[ROW][C]46[/C][C]0.040035[/C][C]0.349[/C][C]0.364021[/C][/ROW]
[ROW][C]47[/C][C]-0.123582[/C][C]-1.0774[/C][C]0.142364[/C][/ROW]
[ROW][C]48[/C][C]0.006242[/C][C]0.0544[/C][C]0.478373[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=232213&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232213&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 0.277631 2.4203 0.008947 2 0.165399 1.4419 0.076718 3 -0.257471 -2.2446 0.013852 4 -0.229665 -2.0022 0.024417 5 -0.26946 -2.3491 0.010709 6 -0.155065 -1.3518 0.09022 7 -0.237549 -2.0709 0.020882 8 -0.325671 -2.8391 0.0029 9 -0.045968 -0.4007 0.344869 10 -0.161201 -1.4053 0.082001 11 -0.025738 -0.2244 0.411533 12 0.156594 1.3652 0.088116 13 0.004113 0.0359 0.485745 14 -0.073326 -0.6392 0.262295 15 0.144037 1.2557 0.106538 16 -0.12773 -1.1135 0.134496 17 -2.2e-05 -2e-04 0.499922 18 0.004709 0.0411 0.483679 19 -0.052494 -0.4576 0.324262 20 0.136508 1.19 0.118866 21 -0.094775 -0.8262 0.20563 22 -0.073544 -0.6411 0.261681 23 -0.117664 -1.0258 0.154126 24 0.004502 0.0392 0.484398 25 0.136719 1.1919 0.118506 26 -0.066164 -0.5768 0.282888 27 0.044998 0.3923 0.347973 28 0.011965 0.1043 0.4586 29 -0.07057 -0.6152 0.270124 30 0.090203 0.7864 0.217049 31 0.036291 0.3164 0.376293 32 -0.119686 -1.0434 0.150035 33 0.135676 1.1828 0.120289 34 -0.075181 -0.6554 0.257091 35 0.104792 0.9136 0.18192 36 0.015617 0.1361 0.446032 37 -0.049379 -0.4305 0.334035 38 -0.023247 -0.2027 0.41997 39 -0.029315 -0.2556 0.399491 40 -0.136978 -1.1941 0.118068 41 0.023987 0.2091 0.417459 42 -0.033168 -0.2892 0.386625 43 0.088008 0.7672 0.222658 44 -0.046518 -0.4055 0.343114 45 -0.122827 -1.0708 0.143829 46 0.040035 0.349 0.364021 47 -0.123582 -1.0774 0.142364 48 0.006242 0.0544 0.478373

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')