## 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 03:26:38 -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/t1386836813laregzh8h91rkuc.htm/, Retrieved Tue, 07 Dec 2021 11:25:13 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=232212, Retrieved Tue, 07 Dec 2021 11:25:13 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact78
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [] [2013-12-12 08:26:38] [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 '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 & 5 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232212&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=232212&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232212&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 'Herman Ole Andreas Wold' @ wold.wessa.net

 Autocorrelation Function Time lag k ACF(k) T-STAT P-value 1 0.866168 7.6006 0 2 0.656374 5.7597 0 3 0.385934 3.3866 0.000559 4 0.14865 1.3044 0.097992 5 -0.021896 -0.1921 0.424072 6 -0.083725 -0.7347 0.232381 7 -0.052388 -0.4597 0.323514 8 0.066224 0.5811 0.28143 9 0.250068 2.1943 0.015613 10 0.422818 3.7102 0.000195 11 0.566696 4.9727 2e-06 12 0.618873 5.4306 0 13 0.554915 4.8694 3e-06 14 0.406916 3.5707 0.000309 15 0.22274 1.9545 0.027134 16 0.018794 0.1649 0.434722 17 -0.113368 -0.9948 0.161476 18 -0.174979 -1.5354 0.064388 19 -0.14975 -1.3141 0.096365 20 -0.054376 -0.4771 0.317305 21 0.069926 0.6136 0.270645 22 0.193559 1.6985 0.046728 23 0.291334 2.5564 0.006271 24 0.352595 3.094 0.001376 25 0.327419 2.8731 0.002625 26 0.228836 2.008 0.024074 27 0.082039 0.7199 0.236885 28 -0.086293 -0.7572 0.225616 29 -0.216986 -1.904 0.03032 30 -0.286629 -2.5152 0.006991 31 -0.297029 -2.6064 0.00549 32 -0.249949 -2.1933 0.015652 33 -0.151165 -1.3265 0.094303 34 -0.051289 -0.4501 0.326966 35 0.039124 0.3433 0.366149 36 0.077623 0.6811 0.248913 37 0.061207 0.5371 0.296376 38 -0.021755 -0.1909 0.424554 39 -0.120975 -1.0616 0.145878 40 -0.245702 -2.156 0.017102 41 -0.327835 -2.8767 0.002598 42 -0.365361 -3.206 0.00098 43 -0.362453 -3.1805 0.00106 44 -0.313407 -2.7501 0.00371 45 -0.233788 -2.0515 0.02181 46 -0.149697 -1.3136 0.096444 47 -0.086059 -0.7552 0.226226 48 -0.040632 -0.3565 0.361204

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.866168 & 7.6006 & 0 \tabularnewline
2 & 0.656374 & 5.7597 & 0 \tabularnewline
3 & 0.385934 & 3.3866 & 0.000559 \tabularnewline
4 & 0.14865 & 1.3044 & 0.097992 \tabularnewline
5 & -0.021896 & -0.1921 & 0.424072 \tabularnewline
6 & -0.083725 & -0.7347 & 0.232381 \tabularnewline
7 & -0.052388 & -0.4597 & 0.323514 \tabularnewline
8 & 0.066224 & 0.5811 & 0.28143 \tabularnewline
9 & 0.250068 & 2.1943 & 0.015613 \tabularnewline
10 & 0.422818 & 3.7102 & 0.000195 \tabularnewline
11 & 0.566696 & 4.9727 & 2e-06 \tabularnewline
12 & 0.618873 & 5.4306 & 0 \tabularnewline
13 & 0.554915 & 4.8694 & 3e-06 \tabularnewline
14 & 0.406916 & 3.5707 & 0.000309 \tabularnewline
15 & 0.22274 & 1.9545 & 0.027134 \tabularnewline
16 & 0.018794 & 0.1649 & 0.434722 \tabularnewline
17 & -0.113368 & -0.9948 & 0.161476 \tabularnewline
18 & -0.174979 & -1.5354 & 0.064388 \tabularnewline
19 & -0.14975 & -1.3141 & 0.096365 \tabularnewline
20 & -0.054376 & -0.4771 & 0.317305 \tabularnewline
21 & 0.069926 & 0.6136 & 0.270645 \tabularnewline
22 & 0.193559 & 1.6985 & 0.046728 \tabularnewline
23 & 0.291334 & 2.5564 & 0.006271 \tabularnewline
24 & 0.352595 & 3.094 & 0.001376 \tabularnewline
25 & 0.327419 & 2.8731 & 0.002625 \tabularnewline
26 & 0.228836 & 2.008 & 0.024074 \tabularnewline
27 & 0.082039 & 0.7199 & 0.236885 \tabularnewline
28 & -0.086293 & -0.7572 & 0.225616 \tabularnewline
29 & -0.216986 & -1.904 & 0.03032 \tabularnewline
30 & -0.286629 & -2.5152 & 0.006991 \tabularnewline
31 & -0.297029 & -2.6064 & 0.00549 \tabularnewline
32 & -0.249949 & -2.1933 & 0.015652 \tabularnewline
33 & -0.151165 & -1.3265 & 0.094303 \tabularnewline
34 & -0.051289 & -0.4501 & 0.326966 \tabularnewline
35 & 0.039124 & 0.3433 & 0.366149 \tabularnewline
36 & 0.077623 & 0.6811 & 0.248913 \tabularnewline
37 & 0.061207 & 0.5371 & 0.296376 \tabularnewline
38 & -0.021755 & -0.1909 & 0.424554 \tabularnewline
39 & -0.120975 & -1.0616 & 0.145878 \tabularnewline
40 & -0.245702 & -2.156 & 0.017102 \tabularnewline
41 & -0.327835 & -2.8767 & 0.002598 \tabularnewline
42 & -0.365361 & -3.206 & 0.00098 \tabularnewline
43 & -0.362453 & -3.1805 & 0.00106 \tabularnewline
44 & -0.313407 & -2.7501 & 0.00371 \tabularnewline
45 & -0.233788 & -2.0515 & 0.02181 \tabularnewline
46 & -0.149697 & -1.3136 & 0.096444 \tabularnewline
47 & -0.086059 & -0.7552 & 0.226226 \tabularnewline
48 & -0.040632 & -0.3565 & 0.361204 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232212&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]0.866168[/C][C]7.6006[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.656374[/C][C]5.7597[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.385934[/C][C]3.3866[/C][C]0.000559[/C][/ROW]
[ROW][C]4[/C][C]0.14865[/C][C]1.3044[/C][C]0.097992[/C][/ROW]
[ROW][C]5[/C][C]-0.021896[/C][C]-0.1921[/C][C]0.424072[/C][/ROW]
[ROW][C]6[/C][C]-0.083725[/C][C]-0.7347[/C][C]0.232381[/C][/ROW]
[ROW][C]7[/C][C]-0.052388[/C][C]-0.4597[/C][C]0.323514[/C][/ROW]
[ROW][C]8[/C][C]0.066224[/C][C]0.5811[/C][C]0.28143[/C][/ROW]
[ROW][C]9[/C][C]0.250068[/C][C]2.1943[/C][C]0.015613[/C][/ROW]
[ROW][C]10[/C][C]0.422818[/C][C]3.7102[/C][C]0.000195[/C][/ROW]
[ROW][C]11[/C][C]0.566696[/C][C]4.9727[/C][C]2e-06[/C][/ROW]
[ROW][C]12[/C][C]0.618873[/C][C]5.4306[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.554915[/C][C]4.8694[/C][C]3e-06[/C][/ROW]
[ROW][C]14[/C][C]0.406916[/C][C]3.5707[/C][C]0.000309[/C][/ROW]
[ROW][C]15[/C][C]0.22274[/C][C]1.9545[/C][C]0.027134[/C][/ROW]
[ROW][C]16[/C][C]0.018794[/C][C]0.1649[/C][C]0.434722[/C][/ROW]
[ROW][C]17[/C][C]-0.113368[/C][C]-0.9948[/C][C]0.161476[/C][/ROW]
[ROW][C]18[/C][C]-0.174979[/C][C]-1.5354[/C][C]0.064388[/C][/ROW]
[ROW][C]19[/C][C]-0.14975[/C][C]-1.3141[/C][C]0.096365[/C][/ROW]
[ROW][C]20[/C][C]-0.054376[/C][C]-0.4771[/C][C]0.317305[/C][/ROW]
[ROW][C]21[/C][C]0.069926[/C][C]0.6136[/C][C]0.270645[/C][/ROW]
[ROW][C]22[/C][C]0.193559[/C][C]1.6985[/C][C]0.046728[/C][/ROW]
[ROW][C]23[/C][C]0.291334[/C][C]2.5564[/C][C]0.006271[/C][/ROW]
[ROW][C]24[/C][C]0.352595[/C][C]3.094[/C][C]0.001376[/C][/ROW]
[ROW][C]25[/C][C]0.327419[/C][C]2.8731[/C][C]0.002625[/C][/ROW]
[ROW][C]26[/C][C]0.228836[/C][C]2.008[/C][C]0.024074[/C][/ROW]
[ROW][C]27[/C][C]0.082039[/C][C]0.7199[/C][C]0.236885[/C][/ROW]
[ROW][C]28[/C][C]-0.086293[/C][C]-0.7572[/C][C]0.225616[/C][/ROW]
[ROW][C]29[/C][C]-0.216986[/C][C]-1.904[/C][C]0.03032[/C][/ROW]
[ROW][C]30[/C][C]-0.286629[/C][C]-2.5152[/C][C]0.006991[/C][/ROW]
[ROW][C]31[/C][C]-0.297029[/C][C]-2.6064[/C][C]0.00549[/C][/ROW]
[ROW][C]32[/C][C]-0.249949[/C][C]-2.1933[/C][C]0.015652[/C][/ROW]
[ROW][C]33[/C][C]-0.151165[/C][C]-1.3265[/C][C]0.094303[/C][/ROW]
[ROW][C]34[/C][C]-0.051289[/C][C]-0.4501[/C][C]0.326966[/C][/ROW]
[ROW][C]35[/C][C]0.039124[/C][C]0.3433[/C][C]0.366149[/C][/ROW]
[ROW][C]36[/C][C]0.077623[/C][C]0.6811[/C][C]0.248913[/C][/ROW]
[ROW][C]37[/C][C]0.061207[/C][C]0.5371[/C][C]0.296376[/C][/ROW]
[ROW][C]38[/C][C]-0.021755[/C][C]-0.1909[/C][C]0.424554[/C][/ROW]
[ROW][C]39[/C][C]-0.120975[/C][C]-1.0616[/C][C]0.145878[/C][/ROW]
[ROW][C]40[/C][C]-0.245702[/C][C]-2.156[/C][C]0.017102[/C][/ROW]
[ROW][C]41[/C][C]-0.327835[/C][C]-2.8767[/C][C]0.002598[/C][/ROW]
[ROW][C]42[/C][C]-0.365361[/C][C]-3.206[/C][C]0.00098[/C][/ROW]
[ROW][C]43[/C][C]-0.362453[/C][C]-3.1805[/C][C]0.00106[/C][/ROW]
[ROW][C]44[/C][C]-0.313407[/C][C]-2.7501[/C][C]0.00371[/C][/ROW]
[ROW][C]45[/C][C]-0.233788[/C][C]-2.0515[/C][C]0.02181[/C][/ROW]
[ROW][C]46[/C][C]-0.149697[/C][C]-1.3136[/C][C]0.096444[/C][/ROW]
[ROW][C]47[/C][C]-0.086059[/C][C]-0.7552[/C][C]0.226226[/C][/ROW]
[ROW][C]48[/C][C]-0.040632[/C][C]-0.3565[/C][C]0.361204[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=232212&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232212&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 0.866168 7.6006 0 2 0.656374 5.7597 0 3 0.385934 3.3866 0.000559 4 0.14865 1.3044 0.097992 5 -0.021896 -0.1921 0.424072 6 -0.083725 -0.7347 0.232381 7 -0.052388 -0.4597 0.323514 8 0.066224 0.5811 0.28143 9 0.250068 2.1943 0.015613 10 0.422818 3.7102 0.000195 11 0.566696 4.9727 2e-06 12 0.618873 5.4306 0 13 0.554915 4.8694 3e-06 14 0.406916 3.5707 0.000309 15 0.22274 1.9545 0.027134 16 0.018794 0.1649 0.434722 17 -0.113368 -0.9948 0.161476 18 -0.174979 -1.5354 0.064388 19 -0.14975 -1.3141 0.096365 20 -0.054376 -0.4771 0.317305 21 0.069926 0.6136 0.270645 22 0.193559 1.6985 0.046728 23 0.291334 2.5564 0.006271 24 0.352595 3.094 0.001376 25 0.327419 2.8731 0.002625 26 0.228836 2.008 0.024074 27 0.082039 0.7199 0.236885 28 -0.086293 -0.7572 0.225616 29 -0.216986 -1.904 0.03032 30 -0.286629 -2.5152 0.006991 31 -0.297029 -2.6064 0.00549 32 -0.249949 -2.1933 0.015652 33 -0.151165 -1.3265 0.094303 34 -0.051289 -0.4501 0.326966 35 0.039124 0.3433 0.366149 36 0.077623 0.6811 0.248913 37 0.061207 0.5371 0.296376 38 -0.021755 -0.1909 0.424554 39 -0.120975 -1.0616 0.145878 40 -0.245702 -2.156 0.017102 41 -0.327835 -2.8767 0.002598 42 -0.365361 -3.206 0.00098 43 -0.362453 -3.1805 0.00106 44 -0.313407 -2.7501 0.00371 45 -0.233788 -2.0515 0.02181 46 -0.149697 -1.3136 0.096444 47 -0.086059 -0.7552 0.226226 48 -0.040632 -0.3565 0.361204

 Partial Autocorrelation Function Time lag k PACF(k) T-STAT P-value 1 0.866168 7.6006 0 2 -0.375865 -3.2982 0.000737 3 -0.329768 -2.8937 0.002475 4 0.057273 0.5026 0.30835 5 0.090923 0.7978 0.213707 6 0.170483 1.496 0.069373 7 0.107006 0.939 0.175341 8 0.170615 1.4971 0.069222 9 0.273232 2.3976 0.009463 10 0.032532 0.2855 0.388027 11 0.140535 1.2332 0.110628 12 -0.014899 -0.1307 0.44816 13 -0.185487 -1.6276 0.053844 14 -0.015012 -0.1317 0.447771 15 0.027318 0.2397 0.405593 16 -0.179636 -1.5763 0.059528 17 0.114863 1.0079 0.158324 18 -0.036633 -0.3215 0.374368 19 -0.025212 -0.2212 0.412747 20 0.008746 0.0767 0.469513 21 -0.136013 -1.1935 0.118167 22 0.035542 0.3119 0.377986 23 0.037471 0.3288 0.371596 24 0.095216 0.8355 0.203005 25 -0.032862 -0.2884 0.386922 26 -0.18703 -1.6412 0.052419 27 0.04138 0.3631 0.358758 28 -0.071064 -0.6236 0.267371 29 -0.058888 -0.5167 0.30341 30 0.030638 0.2688 0.394384 31 -0.135134 -1.1858 0.119674 32 -0.060775 -0.5333 0.297682 33 0.113499 0.996 0.161197 34 -0.149839 -1.3148 0.096235 35 -0.010882 -0.0955 0.462086 36 -0.125373 -1.1001 0.137349 37 -0.031224 -0.274 0.392413 38 -0.023364 -0.205 0.41905 39 -0.008987 -0.0789 0.468674 40 -0.01815 -0.1593 0.436937 41 0.100947 0.8858 0.18924 42 -0.035273 -0.3095 0.378883 43 -0.02448 -0.2148 0.415241 44 -0.079489 -0.6975 0.243792 45 0.002825 0.0248 0.490145 46 0.070309 0.617 0.269542 47 -0.052521 -0.4609 0.323095 48 0.061802 0.5423 0.294586

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.866168 & 7.6006 & 0 \tabularnewline
2 & -0.375865 & -3.2982 & 0.000737 \tabularnewline
3 & -0.329768 & -2.8937 & 0.002475 \tabularnewline
4 & 0.057273 & 0.5026 & 0.30835 \tabularnewline
5 & 0.090923 & 0.7978 & 0.213707 \tabularnewline
6 & 0.170483 & 1.496 & 0.069373 \tabularnewline
7 & 0.107006 & 0.939 & 0.175341 \tabularnewline
8 & 0.170615 & 1.4971 & 0.069222 \tabularnewline
9 & 0.273232 & 2.3976 & 0.009463 \tabularnewline
10 & 0.032532 & 0.2855 & 0.388027 \tabularnewline
11 & 0.140535 & 1.2332 & 0.110628 \tabularnewline
12 & -0.014899 & -0.1307 & 0.44816 \tabularnewline
13 & -0.185487 & -1.6276 & 0.053844 \tabularnewline
14 & -0.015012 & -0.1317 & 0.447771 \tabularnewline
15 & 0.027318 & 0.2397 & 0.405593 \tabularnewline
16 & -0.179636 & -1.5763 & 0.059528 \tabularnewline
17 & 0.114863 & 1.0079 & 0.158324 \tabularnewline
18 & -0.036633 & -0.3215 & 0.374368 \tabularnewline
19 & -0.025212 & -0.2212 & 0.412747 \tabularnewline
20 & 0.008746 & 0.0767 & 0.469513 \tabularnewline
21 & -0.136013 & -1.1935 & 0.118167 \tabularnewline
22 & 0.035542 & 0.3119 & 0.377986 \tabularnewline
23 & 0.037471 & 0.3288 & 0.371596 \tabularnewline
24 & 0.095216 & 0.8355 & 0.203005 \tabularnewline
25 & -0.032862 & -0.2884 & 0.386922 \tabularnewline
26 & -0.18703 & -1.6412 & 0.052419 \tabularnewline
27 & 0.04138 & 0.3631 & 0.358758 \tabularnewline
28 & -0.071064 & -0.6236 & 0.267371 \tabularnewline
29 & -0.058888 & -0.5167 & 0.30341 \tabularnewline
30 & 0.030638 & 0.2688 & 0.394384 \tabularnewline
31 & -0.135134 & -1.1858 & 0.119674 \tabularnewline
32 & -0.060775 & -0.5333 & 0.297682 \tabularnewline
33 & 0.113499 & 0.996 & 0.161197 \tabularnewline
34 & -0.149839 & -1.3148 & 0.096235 \tabularnewline
35 & -0.010882 & -0.0955 & 0.462086 \tabularnewline
36 & -0.125373 & -1.1001 & 0.137349 \tabularnewline
37 & -0.031224 & -0.274 & 0.392413 \tabularnewline
38 & -0.023364 & -0.205 & 0.41905 \tabularnewline
39 & -0.008987 & -0.0789 & 0.468674 \tabularnewline
40 & -0.01815 & -0.1593 & 0.436937 \tabularnewline
41 & 0.100947 & 0.8858 & 0.18924 \tabularnewline
42 & -0.035273 & -0.3095 & 0.378883 \tabularnewline
43 & -0.02448 & -0.2148 & 0.415241 \tabularnewline
44 & -0.079489 & -0.6975 & 0.243792 \tabularnewline
45 & 0.002825 & 0.0248 & 0.490145 \tabularnewline
46 & 0.070309 & 0.617 & 0.269542 \tabularnewline
47 & -0.052521 & -0.4609 & 0.323095 \tabularnewline
48 & 0.061802 & 0.5423 & 0.294586 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232212&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]0.866168[/C][C]7.6006[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.375865[/C][C]-3.2982[/C][C]0.000737[/C][/ROW]
[ROW][C]3[/C][C]-0.329768[/C][C]-2.8937[/C][C]0.002475[/C][/ROW]
[ROW][C]4[/C][C]0.057273[/C][C]0.5026[/C][C]0.30835[/C][/ROW]
[ROW][C]5[/C][C]0.090923[/C][C]0.7978[/C][C]0.213707[/C][/ROW]
[ROW][C]6[/C][C]0.170483[/C][C]1.496[/C][C]0.069373[/C][/ROW]
[ROW][C]7[/C][C]0.107006[/C][C]0.939[/C][C]0.175341[/C][/ROW]
[ROW][C]8[/C][C]0.170615[/C][C]1.4971[/C][C]0.069222[/C][/ROW]
[ROW][C]9[/C][C]0.273232[/C][C]2.3976[/C][C]0.009463[/C][/ROW]
[ROW][C]10[/C][C]0.032532[/C][C]0.2855[/C][C]0.388027[/C][/ROW]
[ROW][C]11[/C][C]0.140535[/C][C]1.2332[/C][C]0.110628[/C][/ROW]
[ROW][C]12[/C][C]-0.014899[/C][C]-0.1307[/C][C]0.44816[/C][/ROW]
[ROW][C]13[/C][C]-0.185487[/C][C]-1.6276[/C][C]0.053844[/C][/ROW]
[ROW][C]14[/C][C]-0.015012[/C][C]-0.1317[/C][C]0.447771[/C][/ROW]
[ROW][C]15[/C][C]0.027318[/C][C]0.2397[/C][C]0.405593[/C][/ROW]
[ROW][C]16[/C][C]-0.179636[/C][C]-1.5763[/C][C]0.059528[/C][/ROW]
[ROW][C]17[/C][C]0.114863[/C][C]1.0079[/C][C]0.158324[/C][/ROW]
[ROW][C]18[/C][C]-0.036633[/C][C]-0.3215[/C][C]0.374368[/C][/ROW]
[ROW][C]19[/C][C]-0.025212[/C][C]-0.2212[/C][C]0.412747[/C][/ROW]
[ROW][C]20[/C][C]0.008746[/C][C]0.0767[/C][C]0.469513[/C][/ROW]
[ROW][C]21[/C][C]-0.136013[/C][C]-1.1935[/C][C]0.118167[/C][/ROW]
[ROW][C]22[/C][C]0.035542[/C][C]0.3119[/C][C]0.377986[/C][/ROW]
[ROW][C]23[/C][C]0.037471[/C][C]0.3288[/C][C]0.371596[/C][/ROW]
[ROW][C]24[/C][C]0.095216[/C][C]0.8355[/C][C]0.203005[/C][/ROW]
[ROW][C]25[/C][C]-0.032862[/C][C]-0.2884[/C][C]0.386922[/C][/ROW]
[ROW][C]26[/C][C]-0.18703[/C][C]-1.6412[/C][C]0.052419[/C][/ROW]
[ROW][C]27[/C][C]0.04138[/C][C]0.3631[/C][C]0.358758[/C][/ROW]
[ROW][C]28[/C][C]-0.071064[/C][C]-0.6236[/C][C]0.267371[/C][/ROW]
[ROW][C]29[/C][C]-0.058888[/C][C]-0.5167[/C][C]0.30341[/C][/ROW]
[ROW][C]30[/C][C]0.030638[/C][C]0.2688[/C][C]0.394384[/C][/ROW]
[ROW][C]31[/C][C]-0.135134[/C][C]-1.1858[/C][C]0.119674[/C][/ROW]
[ROW][C]32[/C][C]-0.060775[/C][C]-0.5333[/C][C]0.297682[/C][/ROW]
[ROW][C]33[/C][C]0.113499[/C][C]0.996[/C][C]0.161197[/C][/ROW]
[ROW][C]34[/C][C]-0.149839[/C][C]-1.3148[/C][C]0.096235[/C][/ROW]
[ROW][C]35[/C][C]-0.010882[/C][C]-0.0955[/C][C]0.462086[/C][/ROW]
[ROW][C]36[/C][C]-0.125373[/C][C]-1.1001[/C][C]0.137349[/C][/ROW]
[ROW][C]37[/C][C]-0.031224[/C][C]-0.274[/C][C]0.392413[/C][/ROW]
[ROW][C]38[/C][C]-0.023364[/C][C]-0.205[/C][C]0.41905[/C][/ROW]
[ROW][C]39[/C][C]-0.008987[/C][C]-0.0789[/C][C]0.468674[/C][/ROW]
[ROW][C]40[/C][C]-0.01815[/C][C]-0.1593[/C][C]0.436937[/C][/ROW]
[ROW][C]41[/C][C]0.100947[/C][C]0.8858[/C][C]0.18924[/C][/ROW]
[ROW][C]42[/C][C]-0.035273[/C][C]-0.3095[/C][C]0.378883[/C][/ROW]
[ROW][C]43[/C][C]-0.02448[/C][C]-0.2148[/C][C]0.415241[/C][/ROW]
[ROW][C]44[/C][C]-0.079489[/C][C]-0.6975[/C][C]0.243792[/C][/ROW]
[ROW][C]45[/C][C]0.002825[/C][C]0.0248[/C][C]0.490145[/C][/ROW]
[ROW][C]46[/C][C]0.070309[/C][C]0.617[/C][C]0.269542[/C][/ROW]
[ROW][C]47[/C][C]-0.052521[/C][C]-0.4609[/C][C]0.323095[/C][/ROW]
[ROW][C]48[/C][C]0.061802[/C][C]0.5423[/C][C]0.294586[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=232212&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232212&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 0.866168 7.6006 0 2 -0.375865 -3.2982 0.000737 3 -0.329768 -2.8937 0.002475 4 0.057273 0.5026 0.30835 5 0.090923 0.7978 0.213707 6 0.170483 1.496 0.069373 7 0.107006 0.939 0.175341 8 0.170615 1.4971 0.069222 9 0.273232 2.3976 0.009463 10 0.032532 0.2855 0.388027 11 0.140535 1.2332 0.110628 12 -0.014899 -0.1307 0.44816 13 -0.185487 -1.6276 0.053844 14 -0.015012 -0.1317 0.447771 15 0.027318 0.2397 0.405593 16 -0.179636 -1.5763 0.059528 17 0.114863 1.0079 0.158324 18 -0.036633 -0.3215 0.374368 19 -0.025212 -0.2212 0.412747 20 0.008746 0.0767 0.469513 21 -0.136013 -1.1935 0.118167 22 0.035542 0.3119 0.377986 23 0.037471 0.3288 0.371596 24 0.095216 0.8355 0.203005 25 -0.032862 -0.2884 0.386922 26 -0.18703 -1.6412 0.052419 27 0.04138 0.3631 0.358758 28 -0.071064 -0.6236 0.267371 29 -0.058888 -0.5167 0.30341 30 0.030638 0.2688 0.394384 31 -0.135134 -1.1858 0.119674 32 -0.060775 -0.5333 0.297682 33 0.113499 0.996 0.161197 34 -0.149839 -1.3148 0.096235 35 -0.010882 -0.0955 0.462086 36 -0.125373 -1.1001 0.137349 37 -0.031224 -0.274 0.392413 38 -0.023364 -0.205 0.41905 39 -0.008987 -0.0789 0.468674 40 -0.01815 -0.1593 0.436937 41 0.100947 0.8858 0.18924 42 -0.035273 -0.3095 0.378883 43 -0.02448 -0.2148 0.415241 44 -0.079489 -0.6975 0.243792 45 0.002825 0.0248 0.490145 46 0.070309 0.617 0.269542 47 -0.052521 -0.4609 0.323095 48 0.061802 0.5423 0.294586

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')