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rwasp_autocorrelation.wasp

Title produced by software

(Partial) Autocorrelation Function

Date of computation

Sun, 19 Dec 2010 16:26:19 +0000

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Dec/19/t1292775850oixm4mot57e321m.htm/, Retrieved Tue, 30 Apr 2024 01:20:46 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=112579, Retrieved Tue, 30 Apr 2024 01:20:46 +0000

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User-defined keywords

Estimated Impact

190

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-     [Multiple Regression] [Q1 The Seatbeltlaw] [2007-11-14 19:27:43] [8cd6641b921d30ebe00b648d1481bba0]
- RMPD  [Multiple Regression] [Seatbelt] [2009-11-12 13:54:52] [b98453cac15ba1066b407e146608df68]
-    D    [Multiple Regression] [WS7] [2009-11-18 17:01:04] [8b1aef4e7013bd33fbc2a5833375c5f5]
-   PD      [Multiple Regression] [WS7(2)] [2009-11-20 19:01:46] [7d268329e554b8694908ba13e6e6f258]
-   P         [Multiple Regression] [WS7(3)] [2009-11-21 10:22:47] [7d268329e554b8694908ba13e6e6f258]
-   PD          [Multiple Regression] [WS7(4)] [2009-11-21 10:55:20] [7d268329e554b8694908ba13e6e6f258]
- RMPD            [Univariate Data Series] [Niet-werkende wer...] [2009-11-25 19:16:52] [9717cb857c153ca3061376906953b329]
-   PD              [Univariate Data Series] [] [2010-12-16 17:58:43] [bcc4ad4a6c0f95d5b548de29638ac6c2]
-   PD                [Univariate Data Series] [] [2010-12-19 14:40:10] [bcc4ad4a6c0f95d5b548de29638ac6c2]
- RMP                     [(Partial) Autocorrelation Function] [] [2010-12-19 16:26:19] [4e3652732e77bb1a104cdb5f8d687d01] [Current]

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Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 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=112579&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=112579&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=112579&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	2 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

Autocorrelation Function
Time lag k	ACF(k)	T-STAT	P-value
1	0.209489	1.7527	0.042015
2	0.297996	2.4932	0.007513
3	0.303723	2.5411	0.006634
4	0.200908	1.6809	0.048618
5	0.125268	1.0481	0.149107
6	0.167811	1.404	0.082369
7	0.062675	0.5244	0.300837
8	0.116779	0.977	0.165957
9	0.035726	0.2989	0.382949
10	-0.118386	-0.9905	0.162674
11	0.173871	1.4547	0.07511
12	-0.155845	-1.3039	0.09827
13	-0.130535	-1.0921	0.13926
14	0.038842	0.325	0.373085
15	-0.065921	-0.5515	0.291512
16	-0.087334	-0.7307	0.233705
17	-0.042358	-0.3544	0.362056
18	-0.11122	-0.9305	0.177646
19	-0.0426	-0.3564	0.361299
20	-0.094065	-0.787	0.216968
21	-0.256291	-2.1443	0.017742
22	-0.099057	-0.8288	0.205026
23	-0.148765	-1.2447	0.108704
24	-0.250089	-2.0924	0.020015
25	-0.086957	-0.7275	0.234663
26	-0.221478	-1.853	0.034047
27	-0.251241	-2.102	0.019575
28	-0.220201	-1.8423	0.034831
29	-0.144043	-1.2051	0.116103
30	-0.122792	-1.0274	0.153896
31	0.014007	0.1172	0.453522
32	-0.137835	-1.1532	0.126373
33	0.070542	0.5902	0.278479
34	-0.01921	-0.1607	0.436386
35	0.059947	0.5016	0.308777
36	-0.003053	-0.0255	0.489847
37	-0.017021	-0.1424	0.443583
38	-0.001169	-0.0098	0.496112
39	-0.003356	-0.0281	0.48884
40	0.027063	0.2264	0.410765
41	0.001497	0.0125	0.49502
42	0.067689	0.5663	0.286492
43	-0.030026	-0.2512	0.401191
44	0.04111	0.3439	0.365958
45	-0.033673	-0.2817	0.389491
46	-0.015014	-0.1256	0.450198
47	0.017148	0.1435	0.443167
48	0.032733	0.2739	0.392497

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.209489 & 1.7527 & 0.042015 \tabularnewline
2 & 0.297996 & 2.4932 & 0.007513 \tabularnewline
3 & 0.303723 & 2.5411 & 0.006634 \tabularnewline
4 & 0.200908 & 1.6809 & 0.048618 \tabularnewline
5 & 0.125268 & 1.0481 & 0.149107 \tabularnewline
6 & 0.167811 & 1.404 & 0.082369 \tabularnewline
7 & 0.062675 & 0.5244 & 0.300837 \tabularnewline
8 & 0.116779 & 0.977 & 0.165957 \tabularnewline
9 & 0.035726 & 0.2989 & 0.382949 \tabularnewline
10 & -0.118386 & -0.9905 & 0.162674 \tabularnewline
11 & 0.173871 & 1.4547 & 0.07511 \tabularnewline
12 & -0.155845 & -1.3039 & 0.09827 \tabularnewline
13 & -0.130535 & -1.0921 & 0.13926 \tabularnewline
14 & 0.038842 & 0.325 & 0.373085 \tabularnewline
15 & -0.065921 & -0.5515 & 0.291512 \tabularnewline
16 & -0.087334 & -0.7307 & 0.233705 \tabularnewline
17 & -0.042358 & -0.3544 & 0.362056 \tabularnewline
18 & -0.11122 & -0.9305 & 0.177646 \tabularnewline
19 & -0.0426 & -0.3564 & 0.361299 \tabularnewline
20 & -0.094065 & -0.787 & 0.216968 \tabularnewline
21 & -0.256291 & -2.1443 & 0.017742 \tabularnewline
22 & -0.099057 & -0.8288 & 0.205026 \tabularnewline
23 & -0.148765 & -1.2447 & 0.108704 \tabularnewline
24 & -0.250089 & -2.0924 & 0.020015 \tabularnewline
25 & -0.086957 & -0.7275 & 0.234663 \tabularnewline
26 & -0.221478 & -1.853 & 0.034047 \tabularnewline
27 & -0.251241 & -2.102 & 0.019575 \tabularnewline
28 & -0.220201 & -1.8423 & 0.034831 \tabularnewline
29 & -0.144043 & -1.2051 & 0.116103 \tabularnewline
30 & -0.122792 & -1.0274 & 0.153896 \tabularnewline
31 & 0.014007 & 0.1172 & 0.453522 \tabularnewline
32 & -0.137835 & -1.1532 & 0.126373 \tabularnewline
33 & 0.070542 & 0.5902 & 0.278479 \tabularnewline
34 & -0.01921 & -0.1607 & 0.436386 \tabularnewline
35 & 0.059947 & 0.5016 & 0.308777 \tabularnewline
36 & -0.003053 & -0.0255 & 0.489847 \tabularnewline
37 & -0.017021 & -0.1424 & 0.443583 \tabularnewline
38 & -0.001169 & -0.0098 & 0.496112 \tabularnewline
39 & -0.003356 & -0.0281 & 0.48884 \tabularnewline
40 & 0.027063 & 0.2264 & 0.410765 \tabularnewline
41 & 0.001497 & 0.0125 & 0.49502 \tabularnewline
42 & 0.067689 & 0.5663 & 0.286492 \tabularnewline
43 & -0.030026 & -0.2512 & 0.401191 \tabularnewline
44 & 0.04111 & 0.3439 & 0.365958 \tabularnewline
45 & -0.033673 & -0.2817 & 0.389491 \tabularnewline
46 & -0.015014 & -0.1256 & 0.450198 \tabularnewline
47 & 0.017148 & 0.1435 & 0.443167 \tabularnewline
48 & 0.032733 & 0.2739 & 0.392497 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=112579&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]0.209489[/C][C]1.7527[/C][C]0.042015[/C][/ROW]
[ROW][C]2[/C][C]0.297996[/C][C]2.4932[/C][C]0.007513[/C][/ROW]
[ROW][C]3[/C][C]0.303723[/C][C]2.5411[/C][C]0.006634[/C][/ROW]
[ROW][C]4[/C][C]0.200908[/C][C]1.6809[/C][C]0.048618[/C][/ROW]
[ROW][C]5[/C][C]0.125268[/C][C]1.0481[/C][C]0.149107[/C][/ROW]
[ROW][C]6[/C][C]0.167811[/C][C]1.404[/C][C]0.082369[/C][/ROW]
[ROW][C]7[/C][C]0.062675[/C][C]0.5244[/C][C]0.300837[/C][/ROW]
[ROW][C]8[/C][C]0.116779[/C][C]0.977[/C][C]0.165957[/C][/ROW]
[ROW][C]9[/C][C]0.035726[/C][C]0.2989[/C][C]0.382949[/C][/ROW]
[ROW][C]10[/C][C]-0.118386[/C][C]-0.9905[/C][C]0.162674[/C][/ROW]
[ROW][C]11[/C][C]0.173871[/C][C]1.4547[/C][C]0.07511[/C][/ROW]
[ROW][C]12[/C][C]-0.155845[/C][C]-1.3039[/C][C]0.09827[/C][/ROW]
[ROW][C]13[/C][C]-0.130535[/C][C]-1.0921[/C][C]0.13926[/C][/ROW]
[ROW][C]14[/C][C]0.038842[/C][C]0.325[/C][C]0.373085[/C][/ROW]
[ROW][C]15[/C][C]-0.065921[/C][C]-0.5515[/C][C]0.291512[/C][/ROW]
[ROW][C]16[/C][C]-0.087334[/C][C]-0.7307[/C][C]0.233705[/C][/ROW]
[ROW][C]17[/C][C]-0.042358[/C][C]-0.3544[/C][C]0.362056[/C][/ROW]
[ROW][C]18[/C][C]-0.11122[/C][C]-0.9305[/C][C]0.177646[/C][/ROW]
[ROW][C]19[/C][C]-0.0426[/C][C]-0.3564[/C][C]0.361299[/C][/ROW]
[ROW][C]20[/C][C]-0.094065[/C][C]-0.787[/C][C]0.216968[/C][/ROW]
[ROW][C]21[/C][C]-0.256291[/C][C]-2.1443[/C][C]0.017742[/C][/ROW]
[ROW][C]22[/C][C]-0.099057[/C][C]-0.8288[/C][C]0.205026[/C][/ROW]
[ROW][C]23[/C][C]-0.148765[/C][C]-1.2447[/C][C]0.108704[/C][/ROW]
[ROW][C]24[/C][C]-0.250089[/C][C]-2.0924[/C][C]0.020015[/C][/ROW]
[ROW][C]25[/C][C]-0.086957[/C][C]-0.7275[/C][C]0.234663[/C][/ROW]
[ROW][C]26[/C][C]-0.221478[/C][C]-1.853[/C][C]0.034047[/C][/ROW]
[ROW][C]27[/C][C]-0.251241[/C][C]-2.102[/C][C]0.019575[/C][/ROW]
[ROW][C]28[/C][C]-0.220201[/C][C]-1.8423[/C][C]0.034831[/C][/ROW]
[ROW][C]29[/C][C]-0.144043[/C][C]-1.2051[/C][C]0.116103[/C][/ROW]
[ROW][C]30[/C][C]-0.122792[/C][C]-1.0274[/C][C]0.153896[/C][/ROW]
[ROW][C]31[/C][C]0.014007[/C][C]0.1172[/C][C]0.453522[/C][/ROW]
[ROW][C]32[/C][C]-0.137835[/C][C]-1.1532[/C][C]0.126373[/C][/ROW]
[ROW][C]33[/C][C]0.070542[/C][C]0.5902[/C][C]0.278479[/C][/ROW]
[ROW][C]34[/C][C]-0.01921[/C][C]-0.1607[/C][C]0.436386[/C][/ROW]
[ROW][C]35[/C][C]0.059947[/C][C]0.5016[/C][C]0.308777[/C][/ROW]
[ROW][C]36[/C][C]-0.003053[/C][C]-0.0255[/C][C]0.489847[/C][/ROW]
[ROW][C]37[/C][C]-0.017021[/C][C]-0.1424[/C][C]0.443583[/C][/ROW]
[ROW][C]38[/C][C]-0.001169[/C][C]-0.0098[/C][C]0.496112[/C][/ROW]
[ROW][C]39[/C][C]-0.003356[/C][C]-0.0281[/C][C]0.48884[/C][/ROW]
[ROW][C]40[/C][C]0.027063[/C][C]0.2264[/C][C]0.410765[/C][/ROW]
[ROW][C]41[/C][C]0.001497[/C][C]0.0125[/C][C]0.49502[/C][/ROW]
[ROW][C]42[/C][C]0.067689[/C][C]0.5663[/C][C]0.286492[/C][/ROW]
[ROW][C]43[/C][C]-0.030026[/C][C]-0.2512[/C][C]0.401191[/C][/ROW]
[ROW][C]44[/C][C]0.04111[/C][C]0.3439[/C][C]0.365958[/C][/ROW]
[ROW][C]45[/C][C]-0.033673[/C][C]-0.2817[/C][C]0.389491[/C][/ROW]
[ROW][C]46[/C][C]-0.015014[/C][C]-0.1256[/C][C]0.450198[/C][/ROW]
[ROW][C]47[/C][C]0.017148[/C][C]0.1435[/C][C]0.443167[/C][/ROW]
[ROW][C]48[/C][C]0.032733[/C][C]0.2739[/C][C]0.392497[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=112579&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=112579&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	0.209489	1.7527	0.042015
2	0.297996	2.4932	0.007513
3	0.303723	2.5411	0.006634
4	0.200908	1.6809	0.048618
5	0.125268	1.0481	0.149107
6	0.167811	1.404	0.082369
7	0.062675	0.5244	0.300837
8	0.116779	0.977	0.165957
9	0.035726	0.2989	0.382949
10	-0.118386	-0.9905	0.162674
11	0.173871	1.4547	0.07511
12	-0.155845	-1.3039	0.09827
13	-0.130535	-1.0921	0.13926
14	0.038842	0.325	0.373085
15	-0.065921	-0.5515	0.291512
16	-0.087334	-0.7307	0.233705
17	-0.042358	-0.3544	0.362056
18	-0.11122	-0.9305	0.177646
19	-0.0426	-0.3564	0.361299
20	-0.094065	-0.787	0.216968
21	-0.256291	-2.1443	0.017742
22	-0.099057	-0.8288	0.205026
23	-0.148765	-1.2447	0.108704
24	-0.250089	-2.0924	0.020015
25	-0.086957	-0.7275	0.234663
26	-0.221478	-1.853	0.034047
27	-0.251241	-2.102	0.019575
28	-0.220201	-1.8423	0.034831
29	-0.144043	-1.2051	0.116103
30	-0.122792	-1.0274	0.153896
31	0.014007	0.1172	0.453522
32	-0.137835	-1.1532	0.126373
33	0.070542	0.5902	0.278479
34	-0.01921	-0.1607	0.436386
35	0.059947	0.5016	0.308777
36	-0.003053	-0.0255	0.489847
37	-0.017021	-0.1424	0.443583
38	-0.001169	-0.0098	0.496112
39	-0.003356	-0.0281	0.48884
40	0.027063	0.2264	0.410765
41	0.001497	0.0125	0.49502
42	0.067689	0.5663	0.286492
43	-0.030026	-0.2512	0.401191
44	0.04111	0.3439	0.365958
45	-0.033673	-0.2817	0.389491
46	-0.015014	-0.1256	0.450198
47	0.017148	0.1435	0.443167
48	0.032733	0.2739	0.392497

Partial Autocorrelation Function
Time lag k	PACF(k)	T-STAT	P-value
1	0.209489	1.7527	0.042015
2	0.265775	2.2236	0.014701
3	0.227566	1.904	0.030513
4	0.066606	0.5573	0.289562
5	-0.042649	-0.3568	0.361148
6	0.036502	0.3054	0.380483
7	-0.043602	-0.3648	0.35818
8	0.048067	0.4022	0.344398
9	-0.036046	-0.3016	0.381933
10	-0.204266	-1.709	0.04594
11	0.207566	1.7366	0.043426
12	-0.181914	-1.522	0.066257
13	-0.123442	-1.0328	0.152628
14	0.12055	1.0086	0.158323
15	0.003318	0.0278	0.488965
16	0.002525	0.0211	0.491601
17	-0.058318	-0.4879	0.313565
18	-0.046699	-0.3907	0.348598
19	0.022785	0.1906	0.424681
20	-0.066576	-0.557	0.289647
21	-0.166901	-1.3964	0.083505
22	-0.122954	-1.0287	0.15358
23	0.0393	0.3288	0.371641
24	-0.065798	-0.5505	0.291862
25	-0.030229	-0.2529	0.400536
26	-0.108171	-0.905	0.184278
27	-0.111927	-0.9364	0.176131
28	-0.095514	-0.7991	0.213459
29	0.081362	0.6807	0.249145
30	0.042365	0.3545	0.362032
31	0.142244	1.1901	0.119013
32	-0.024389	-0.204	0.419453
33	0.053859	0.4506	0.326828
34	-0.107922	-0.9029	0.184828
35	0.160655	1.3441	0.091622
36	-0.124914	-1.0451	0.149785
37	-0.15194	-1.2712	0.103929
38	-0.012156	-0.1017	0.459643
39	-0.089676	-0.7503	0.227799
40	0.0263	0.22	0.413241
41	0.005107	0.0427	0.48302
42	-0.014196	-0.1188	0.452898
43	0.03409	0.2852	0.38816
44	-0.053385	-0.4466	0.328254
45	-0.038199	-0.3196	0.375114
46	-0.109066	-0.9125	0.182317
47	0.075818	0.6343	0.263965
48	-0.000185	-0.0015	0.499385

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.209489 & 1.7527 & 0.042015 \tabularnewline
2 & 0.265775 & 2.2236 & 0.014701 \tabularnewline
3 & 0.227566 & 1.904 & 0.030513 \tabularnewline
4 & 0.066606 & 0.5573 & 0.289562 \tabularnewline
5 & -0.042649 & -0.3568 & 0.361148 \tabularnewline
6 & 0.036502 & 0.3054 & 0.380483 \tabularnewline
7 & -0.043602 & -0.3648 & 0.35818 \tabularnewline
8 & 0.048067 & 0.4022 & 0.344398 \tabularnewline
9 & -0.036046 & -0.3016 & 0.381933 \tabularnewline
10 & -0.204266 & -1.709 & 0.04594 \tabularnewline
11 & 0.207566 & 1.7366 & 0.043426 \tabularnewline
12 & -0.181914 & -1.522 & 0.066257 \tabularnewline
13 & -0.123442 & -1.0328 & 0.152628 \tabularnewline
14 & 0.12055 & 1.0086 & 0.158323 \tabularnewline
15 & 0.003318 & 0.0278 & 0.488965 \tabularnewline
16 & 0.002525 & 0.0211 & 0.491601 \tabularnewline
17 & -0.058318 & -0.4879 & 0.313565 \tabularnewline
18 & -0.046699 & -0.3907 & 0.348598 \tabularnewline
19 & 0.022785 & 0.1906 & 0.424681 \tabularnewline
20 & -0.066576 & -0.557 & 0.289647 \tabularnewline
21 & -0.166901 & -1.3964 & 0.083505 \tabularnewline
22 & -0.122954 & -1.0287 & 0.15358 \tabularnewline
23 & 0.0393 & 0.3288 & 0.371641 \tabularnewline
24 & -0.065798 & -0.5505 & 0.291862 \tabularnewline
25 & -0.030229 & -0.2529 & 0.400536 \tabularnewline
26 & -0.108171 & -0.905 & 0.184278 \tabularnewline
27 & -0.111927 & -0.9364 & 0.176131 \tabularnewline
28 & -0.095514 & -0.7991 & 0.213459 \tabularnewline
29 & 0.081362 & 0.6807 & 0.249145 \tabularnewline
30 & 0.042365 & 0.3545 & 0.362032 \tabularnewline
31 & 0.142244 & 1.1901 & 0.119013 \tabularnewline
32 & -0.024389 & -0.204 & 0.419453 \tabularnewline
33 & 0.053859 & 0.4506 & 0.326828 \tabularnewline
34 & -0.107922 & -0.9029 & 0.184828 \tabularnewline
35 & 0.160655 & 1.3441 & 0.091622 \tabularnewline
36 & -0.124914 & -1.0451 & 0.149785 \tabularnewline
37 & -0.15194 & -1.2712 & 0.103929 \tabularnewline
38 & -0.012156 & -0.1017 & 0.459643 \tabularnewline
39 & -0.089676 & -0.7503 & 0.227799 \tabularnewline
40 & 0.0263 & 0.22 & 0.413241 \tabularnewline
41 & 0.005107 & 0.0427 & 0.48302 \tabularnewline
42 & -0.014196 & -0.1188 & 0.452898 \tabularnewline
43 & 0.03409 & 0.2852 & 0.38816 \tabularnewline
44 & -0.053385 & -0.4466 & 0.328254 \tabularnewline
45 & -0.038199 & -0.3196 & 0.375114 \tabularnewline
46 & -0.109066 & -0.9125 & 0.182317 \tabularnewline
47 & 0.075818 & 0.6343 & 0.263965 \tabularnewline
48 & -0.000185 & -0.0015 & 0.499385 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=112579&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]0.209489[/C][C]1.7527[/C][C]0.042015[/C][/ROW]
[ROW][C]2[/C][C]0.265775[/C][C]2.2236[/C][C]0.014701[/C][/ROW]
[ROW][C]3[/C][C]0.227566[/C][C]1.904[/C][C]0.030513[/C][/ROW]
[ROW][C]4[/C][C]0.066606[/C][C]0.5573[/C][C]0.289562[/C][/ROW]
[ROW][C]5[/C][C]-0.042649[/C][C]-0.3568[/C][C]0.361148[/C][/ROW]
[ROW][C]6[/C][C]0.036502[/C][C]0.3054[/C][C]0.380483[/C][/ROW]
[ROW][C]7[/C][C]-0.043602[/C][C]-0.3648[/C][C]0.35818[/C][/ROW]
[ROW][C]8[/C][C]0.048067[/C][C]0.4022[/C][C]0.344398[/C][/ROW]
[ROW][C]9[/C][C]-0.036046[/C][C]-0.3016[/C][C]0.381933[/C][/ROW]
[ROW][C]10[/C][C]-0.204266[/C][C]-1.709[/C][C]0.04594[/C][/ROW]
[ROW][C]11[/C][C]0.207566[/C][C]1.7366[/C][C]0.043426[/C][/ROW]
[ROW][C]12[/C][C]-0.181914[/C][C]-1.522[/C][C]0.066257[/C][/ROW]
[ROW][C]13[/C][C]-0.123442[/C][C]-1.0328[/C][C]0.152628[/C][/ROW]
[ROW][C]14[/C][C]0.12055[/C][C]1.0086[/C][C]0.158323[/C][/ROW]
[ROW][C]15[/C][C]0.003318[/C][C]0.0278[/C][C]0.488965[/C][/ROW]
[ROW][C]16[/C][C]0.002525[/C][C]0.0211[/C][C]0.491601[/C][/ROW]
[ROW][C]17[/C][C]-0.058318[/C][C]-0.4879[/C][C]0.313565[/C][/ROW]
[ROW][C]18[/C][C]-0.046699[/C][C]-0.3907[/C][C]0.348598[/C][/ROW]
[ROW][C]19[/C][C]0.022785[/C][C]0.1906[/C][C]0.424681[/C][/ROW]
[ROW][C]20[/C][C]-0.066576[/C][C]-0.557[/C][C]0.289647[/C][/ROW]
[ROW][C]21[/C][C]-0.166901[/C][C]-1.3964[/C][C]0.083505[/C][/ROW]
[ROW][C]22[/C][C]-0.122954[/C][C]-1.0287[/C][C]0.15358[/C][/ROW]
[ROW][C]23[/C][C]0.0393[/C][C]0.3288[/C][C]0.371641[/C][/ROW]
[ROW][C]24[/C][C]-0.065798[/C][C]-0.5505[/C][C]0.291862[/C][/ROW]
[ROW][C]25[/C][C]-0.030229[/C][C]-0.2529[/C][C]0.400536[/C][/ROW]
[ROW][C]26[/C][C]-0.108171[/C][C]-0.905[/C][C]0.184278[/C][/ROW]
[ROW][C]27[/C][C]-0.111927[/C][C]-0.9364[/C][C]0.176131[/C][/ROW]
[ROW][C]28[/C][C]-0.095514[/C][C]-0.7991[/C][C]0.213459[/C][/ROW]
[ROW][C]29[/C][C]0.081362[/C][C]0.6807[/C][C]0.249145[/C][/ROW]
[ROW][C]30[/C][C]0.042365[/C][C]0.3545[/C][C]0.362032[/C][/ROW]
[ROW][C]31[/C][C]0.142244[/C][C]1.1901[/C][C]0.119013[/C][/ROW]
[ROW][C]32[/C][C]-0.024389[/C][C]-0.204[/C][C]0.419453[/C][/ROW]
[ROW][C]33[/C][C]0.053859[/C][C]0.4506[/C][C]0.326828[/C][/ROW]
[ROW][C]34[/C][C]-0.107922[/C][C]-0.9029[/C][C]0.184828[/C][/ROW]
[ROW][C]35[/C][C]0.160655[/C][C]1.3441[/C][C]0.091622[/C][/ROW]
[ROW][C]36[/C][C]-0.124914[/C][C]-1.0451[/C][C]0.149785[/C][/ROW]
[ROW][C]37[/C][C]-0.15194[/C][C]-1.2712[/C][C]0.103929[/C][/ROW]
[ROW][C]38[/C][C]-0.012156[/C][C]-0.1017[/C][C]0.459643[/C][/ROW]
[ROW][C]39[/C][C]-0.089676[/C][C]-0.7503[/C][C]0.227799[/C][/ROW]
[ROW][C]40[/C][C]0.0263[/C][C]0.22[/C][C]0.413241[/C][/ROW]
[ROW][C]41[/C][C]0.005107[/C][C]0.0427[/C][C]0.48302[/C][/ROW]
[ROW][C]42[/C][C]-0.014196[/C][C]-0.1188[/C][C]0.452898[/C][/ROW]
[ROW][C]43[/C][C]0.03409[/C][C]0.2852[/C][C]0.38816[/C][/ROW]
[ROW][C]44[/C][C]-0.053385[/C][C]-0.4466[/C][C]0.328254[/C][/ROW]
[ROW][C]45[/C][C]-0.038199[/C][C]-0.3196[/C][C]0.375114[/C][/ROW]
[ROW][C]46[/C][C]-0.109066[/C][C]-0.9125[/C][C]0.182317[/C][/ROW]
[ROW][C]47[/C][C]0.075818[/C][C]0.6343[/C][C]0.263965[/C][/ROW]
[ROW][C]48[/C][C]-0.000185[/C][C]-0.0015[/C][C]0.499385[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=112579&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=112579&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	0.209489	1.7527	0.042015
2	0.265775	2.2236	0.014701
3	0.227566	1.904	0.030513
4	0.066606	0.5573	0.289562
5	-0.042649	-0.3568	0.361148
6	0.036502	0.3054	0.380483
7	-0.043602	-0.3648	0.35818
8	0.048067	0.4022	0.344398
9	-0.036046	-0.3016	0.381933
10	-0.204266	-1.709	0.04594
11	0.207566	1.7366	0.043426
12	-0.181914	-1.522	0.066257
13	-0.123442	-1.0328	0.152628
14	0.12055	1.0086	0.158323
15	0.003318	0.0278	0.488965
16	0.002525	0.0211	0.491601
17	-0.058318	-0.4879	0.313565
18	-0.046699	-0.3907	0.348598
19	0.022785	0.1906	0.424681
20	-0.066576	-0.557	0.289647
21	-0.166901	-1.3964	0.083505
22	-0.122954	-1.0287	0.15358
23	0.0393	0.3288	0.371641
24	-0.065798	-0.5505	0.291862
25	-0.030229	-0.2529	0.400536
26	-0.108171	-0.905	0.184278
27	-0.111927	-0.9364	0.176131
28	-0.095514	-0.7991	0.213459
29	0.081362	0.6807	0.249145
30	0.042365	0.3545	0.362032
31	0.142244	1.1901	0.119013
32	-0.024389	-0.204	0.419453
33	0.053859	0.4506	0.326828
34	-0.107922	-0.9029	0.184828
35	0.160655	1.3441	0.091622
36	-0.124914	-1.0451	0.149785
37	-0.15194	-1.2712	0.103929
38	-0.012156	-0.1017	0.459643
39	-0.089676	-0.7503	0.227799
40	0.0263	0.22	0.413241
41	0.005107	0.0427	0.48302
42	-0.014196	-0.1188	0.452898
43	0.03409	0.2852	0.38816
44	-0.053385	-0.4466	0.328254
45	-0.038199	-0.3196	0.375114
46	-0.109066	-0.9125	0.182317
47	0.075818	0.6343	0.263965
48	-0.000185	-0.0015	0.499385

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Figure 3

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = Niet-werkende werkzoekenden in Belgie ; par2 = http://www.nbb.be/belgostat/ ; par3 = Niet-werkende werkzoekenden in Belgie ; par4 = 12 ;

Parameters (R input):

par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ; par8 = ;

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 (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
par7 <- as.numeric(par7)
if (par8 != '') par8 <- as.numeric(par8)
ox <- x
if (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]*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')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code