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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationSat, 06 Dec 2008 08:59:26 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Dec/06/t1228579203dldizh84occm8f2.htm/, Retrieved Sun, 19 May 2024 11:31:07 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=29721, Retrieved Sun, 19 May 2024 11:31:07 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact200
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Opgave 6bis-oefen...] [2008-12-06 15:59:26] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
113,9000
112,0000
113,8500
113,0800
111,7200
110,6900
113,5300
113,9900
112,7400
112,1500
115,8200
118,3800
118,8100
123,8500
117,9600
120,1600
118,7400
119,8400
124,8100
121,3300
120,2000
118,3200
129,5800
130,2000
127,1900
133,1000
129,1200
123,2800
123,3600
124,1300
126,9700
127,1400
123,7000
123,6700
130,1900
134,0100
124,9600
129,9600
128,3200
132,3800
126,2500
128,9100
131,4200
129,4400
126,8600
126,7100
131,6300
132,7800
126,6100
132,8400
123,1400
128,1300
125,4900
126,4800
130,8600
127,3200
126,5600
126,6400
129,2600
126,4700
135,4000
135,5000
132,2200
122,6200
125,1600
128,5000
133,8600
128,8700
125,0700
125,2500
132,1600
130,2400




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=29721&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=29721&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=29721&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'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.772696.55650
20.6585475.5880
30.6090575.1681e-06
40.6359845.39650
50.5997965.08941e-06
60.506474.29752.7e-05
70.4674013.9668.5e-05
80.421673.5780.000312
90.3870593.28430.00079
100.3326492.82260.003077
110.3131482.65710.00485
120.344062.91940.002339
130.2516262.13510.018077
140.1852621.5720.060167
150.1559271.32310.094997
160.1293931.09790.137945
170.1001470.84980.199134
180.0409340.34730.364675
190.0746090.63310.264345
200.0206570.17530.430675
21-0.01029-0.08730.465332
22-0.044769-0.37990.352577
230.0023320.01980.492133
240.0156310.13260.447427
25-0.056071-0.47580.317836
26-0.054571-0.4630.322364
27-0.046185-0.39190.348148
28-0.092732-0.78690.216974
29-0.107709-0.91390.1819
30-0.154905-1.31440.09644
31-0.115126-0.97690.16595
32-0.148593-1.26090.105717
33-0.210446-1.78570.03918
34-0.224984-1.90910.03012
35-0.16022-1.35950.089114
36-0.107684-0.91370.181955
37-0.201038-1.70590.046172
38-0.21833-1.85260.03402
39-0.21986-1.86560.033087
40-0.206849-1.75520.041742
41-0.215577-1.82920.035753
42-0.201693-1.71140.045654
43-0.18178-1.54250.063673
44-0.185033-1.57010.060393
45-0.204742-1.73730.043306
46-0.221554-1.87990.03208
47-0.173521-1.47240.072638
48-0.149814-1.27120.103872

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.77269 & 6.5565 & 0 \tabularnewline
2 & 0.658547 & 5.588 & 0 \tabularnewline
3 & 0.609057 & 5.168 & 1e-06 \tabularnewline
4 & 0.635984 & 5.3965 & 0 \tabularnewline
5 & 0.599796 & 5.0894 & 1e-06 \tabularnewline
6 & 0.50647 & 4.2975 & 2.7e-05 \tabularnewline
7 & 0.467401 & 3.966 & 8.5e-05 \tabularnewline
8 & 0.42167 & 3.578 & 0.000312 \tabularnewline
9 & 0.387059 & 3.2843 & 0.00079 \tabularnewline
10 & 0.332649 & 2.8226 & 0.003077 \tabularnewline
11 & 0.313148 & 2.6571 & 0.00485 \tabularnewline
12 & 0.34406 & 2.9194 & 0.002339 \tabularnewline
13 & 0.251626 & 2.1351 & 0.018077 \tabularnewline
14 & 0.185262 & 1.572 & 0.060167 \tabularnewline
15 & 0.155927 & 1.3231 & 0.094997 \tabularnewline
16 & 0.129393 & 1.0979 & 0.137945 \tabularnewline
17 & 0.100147 & 0.8498 & 0.199134 \tabularnewline
18 & 0.040934 & 0.3473 & 0.364675 \tabularnewline
19 & 0.074609 & 0.6331 & 0.264345 \tabularnewline
20 & 0.020657 & 0.1753 & 0.430675 \tabularnewline
21 & -0.01029 & -0.0873 & 0.465332 \tabularnewline
22 & -0.044769 & -0.3799 & 0.352577 \tabularnewline
23 & 0.002332 & 0.0198 & 0.492133 \tabularnewline
24 & 0.015631 & 0.1326 & 0.447427 \tabularnewline
25 & -0.056071 & -0.4758 & 0.317836 \tabularnewline
26 & -0.054571 & -0.463 & 0.322364 \tabularnewline
27 & -0.046185 & -0.3919 & 0.348148 \tabularnewline
28 & -0.092732 & -0.7869 & 0.216974 \tabularnewline
29 & -0.107709 & -0.9139 & 0.1819 \tabularnewline
30 & -0.154905 & -1.3144 & 0.09644 \tabularnewline
31 & -0.115126 & -0.9769 & 0.16595 \tabularnewline
32 & -0.148593 & -1.2609 & 0.105717 \tabularnewline
33 & -0.210446 & -1.7857 & 0.03918 \tabularnewline
34 & -0.224984 & -1.9091 & 0.03012 \tabularnewline
35 & -0.16022 & -1.3595 & 0.089114 \tabularnewline
36 & -0.107684 & -0.9137 & 0.181955 \tabularnewline
37 & -0.201038 & -1.7059 & 0.046172 \tabularnewline
38 & -0.21833 & -1.8526 & 0.03402 \tabularnewline
39 & -0.21986 & -1.8656 & 0.033087 \tabularnewline
40 & -0.206849 & -1.7552 & 0.041742 \tabularnewline
41 & -0.215577 & -1.8292 & 0.035753 \tabularnewline
42 & -0.201693 & -1.7114 & 0.045654 \tabularnewline
43 & -0.18178 & -1.5425 & 0.063673 \tabularnewline
44 & -0.185033 & -1.5701 & 0.060393 \tabularnewline
45 & -0.204742 & -1.7373 & 0.043306 \tabularnewline
46 & -0.221554 & -1.8799 & 0.03208 \tabularnewline
47 & -0.173521 & -1.4724 & 0.072638 \tabularnewline
48 & -0.149814 & -1.2712 & 0.103872 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=29721&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]0.77269[/C][C]6.5565[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.658547[/C][C]5.588[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.609057[/C][C]5.168[/C][C]1e-06[/C][/ROW]
[ROW][C]4[/C][C]0.635984[/C][C]5.3965[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.599796[/C][C]5.0894[/C][C]1e-06[/C][/ROW]
[ROW][C]6[/C][C]0.50647[/C][C]4.2975[/C][C]2.7e-05[/C][/ROW]
[ROW][C]7[/C][C]0.467401[/C][C]3.966[/C][C]8.5e-05[/C][/ROW]
[ROW][C]8[/C][C]0.42167[/C][C]3.578[/C][C]0.000312[/C][/ROW]
[ROW][C]9[/C][C]0.387059[/C][C]3.2843[/C][C]0.00079[/C][/ROW]
[ROW][C]10[/C][C]0.332649[/C][C]2.8226[/C][C]0.003077[/C][/ROW]
[ROW][C]11[/C][C]0.313148[/C][C]2.6571[/C][C]0.00485[/C][/ROW]
[ROW][C]12[/C][C]0.34406[/C][C]2.9194[/C][C]0.002339[/C][/ROW]
[ROW][C]13[/C][C]0.251626[/C][C]2.1351[/C][C]0.018077[/C][/ROW]
[ROW][C]14[/C][C]0.185262[/C][C]1.572[/C][C]0.060167[/C][/ROW]
[ROW][C]15[/C][C]0.155927[/C][C]1.3231[/C][C]0.094997[/C][/ROW]
[ROW][C]16[/C][C]0.129393[/C][C]1.0979[/C][C]0.137945[/C][/ROW]
[ROW][C]17[/C][C]0.100147[/C][C]0.8498[/C][C]0.199134[/C][/ROW]
[ROW][C]18[/C][C]0.040934[/C][C]0.3473[/C][C]0.364675[/C][/ROW]
[ROW][C]19[/C][C]0.074609[/C][C]0.6331[/C][C]0.264345[/C][/ROW]
[ROW][C]20[/C][C]0.020657[/C][C]0.1753[/C][C]0.430675[/C][/ROW]
[ROW][C]21[/C][C]-0.01029[/C][C]-0.0873[/C][C]0.465332[/C][/ROW]
[ROW][C]22[/C][C]-0.044769[/C][C]-0.3799[/C][C]0.352577[/C][/ROW]
[ROW][C]23[/C][C]0.002332[/C][C]0.0198[/C][C]0.492133[/C][/ROW]
[ROW][C]24[/C][C]0.015631[/C][C]0.1326[/C][C]0.447427[/C][/ROW]
[ROW][C]25[/C][C]-0.056071[/C][C]-0.4758[/C][C]0.317836[/C][/ROW]
[ROW][C]26[/C][C]-0.054571[/C][C]-0.463[/C][C]0.322364[/C][/ROW]
[ROW][C]27[/C][C]-0.046185[/C][C]-0.3919[/C][C]0.348148[/C][/ROW]
[ROW][C]28[/C][C]-0.092732[/C][C]-0.7869[/C][C]0.216974[/C][/ROW]
[ROW][C]29[/C][C]-0.107709[/C][C]-0.9139[/C][C]0.1819[/C][/ROW]
[ROW][C]30[/C][C]-0.154905[/C][C]-1.3144[/C][C]0.09644[/C][/ROW]
[ROW][C]31[/C][C]-0.115126[/C][C]-0.9769[/C][C]0.16595[/C][/ROW]
[ROW][C]32[/C][C]-0.148593[/C][C]-1.2609[/C][C]0.105717[/C][/ROW]
[ROW][C]33[/C][C]-0.210446[/C][C]-1.7857[/C][C]0.03918[/C][/ROW]
[ROW][C]34[/C][C]-0.224984[/C][C]-1.9091[/C][C]0.03012[/C][/ROW]
[ROW][C]35[/C][C]-0.16022[/C][C]-1.3595[/C][C]0.089114[/C][/ROW]
[ROW][C]36[/C][C]-0.107684[/C][C]-0.9137[/C][C]0.181955[/C][/ROW]
[ROW][C]37[/C][C]-0.201038[/C][C]-1.7059[/C][C]0.046172[/C][/ROW]
[ROW][C]38[/C][C]-0.21833[/C][C]-1.8526[/C][C]0.03402[/C][/ROW]
[ROW][C]39[/C][C]-0.21986[/C][C]-1.8656[/C][C]0.033087[/C][/ROW]
[ROW][C]40[/C][C]-0.206849[/C][C]-1.7552[/C][C]0.041742[/C][/ROW]
[ROW][C]41[/C][C]-0.215577[/C][C]-1.8292[/C][C]0.035753[/C][/ROW]
[ROW][C]42[/C][C]-0.201693[/C][C]-1.7114[/C][C]0.045654[/C][/ROW]
[ROW][C]43[/C][C]-0.18178[/C][C]-1.5425[/C][C]0.063673[/C][/ROW]
[ROW][C]44[/C][C]-0.185033[/C][C]-1.5701[/C][C]0.060393[/C][/ROW]
[ROW][C]45[/C][C]-0.204742[/C][C]-1.7373[/C][C]0.043306[/C][/ROW]
[ROW][C]46[/C][C]-0.221554[/C][C]-1.8799[/C][C]0.03208[/C][/ROW]
[ROW][C]47[/C][C]-0.173521[/C][C]-1.4724[/C][C]0.072638[/C][/ROW]
[ROW][C]48[/C][C]-0.149814[/C][C]-1.2712[/C][C]0.103872[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=29721&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=29721&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
10.772696.55650
20.6585475.5880
30.6090575.1681e-06
40.6359845.39650
50.5997965.08941e-06
60.506474.29752.7e-05
70.4674013.9668.5e-05
80.421673.5780.000312
90.3870593.28430.00079
100.3326492.82260.003077
110.3131482.65710.00485
120.344062.91940.002339
130.2516262.13510.018077
140.1852621.5720.060167
150.1559271.32310.094997
160.1293931.09790.137945
170.1001470.84980.199134
180.0409340.34730.364675
190.0746090.63310.264345
200.0206570.17530.430675
21-0.01029-0.08730.465332
22-0.044769-0.37990.352577
230.0023320.01980.492133
240.0156310.13260.447427
25-0.056071-0.47580.317836
26-0.054571-0.4630.322364
27-0.046185-0.39190.348148
28-0.092732-0.78690.216974
29-0.107709-0.91390.1819
30-0.154905-1.31440.09644
31-0.115126-0.97690.16595
32-0.148593-1.26090.105717
33-0.210446-1.78570.03918
34-0.224984-1.90910.03012
35-0.16022-1.35950.089114
36-0.107684-0.91370.181955
37-0.201038-1.70590.046172
38-0.21833-1.85260.03402
39-0.21986-1.86560.033087
40-0.206849-1.75520.041742
41-0.215577-1.82920.035753
42-0.201693-1.71140.045654
43-0.18178-1.54250.063673
44-0.185033-1.57010.060393
45-0.204742-1.73730.043306
46-0.221554-1.87990.03208
47-0.173521-1.47240.072638
48-0.149814-1.27120.103872







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.772696.55650
20.1526171.2950.099729
30.1522951.29230.100198
40.2570962.18150.016205
50.019770.16780.433624
6-0.114716-0.97340.166808
70.042250.35850.360509
8-0.074289-0.63040.265226
9-0.036714-0.31150.378151
10-0.027407-0.23260.408384
110.043150.36610.357668
120.1582641.34290.091758
13-0.207969-1.76470.040929
14-0.055387-0.470.319897
150.0222970.18920.425235
16-0.139691-1.18530.119895
17-0.003411-0.02890.488493
18-0.013161-0.11170.455697
190.1597851.35580.089696
20-0.12236-1.03830.151312
21-0.018925-0.16060.436434
220.0269410.22860.409912
230.1142960.96980.167689
24-0.064944-0.55110.291647
25-0.088562-0.75150.227408
260.1369811.16230.124472
27-0.034437-0.29220.385483
28-0.254174-2.15670.017183
290.1213641.02980.153274
30-0.079068-0.67090.25221
31-0.027343-0.2320.408593
32-0.036197-0.30710.379812
33-0.099869-0.84740.199784
340.0936340.79450.214754
350.085130.72230.23621
360.0253780.21530.415054
37-0.088268-0.7490.228154
38-0.059916-0.50840.306362
39-0.061038-0.51790.303048
40-0.006721-0.0570.477341
410.0149830.12710.449594
420.1191421.0110.157711
43-0.019232-0.16320.435413
440.029530.25060.40143
45-0.016639-0.14120.444058
46-0.149713-1.27040.104024
470.0648940.55060.291792
48-0.080771-0.68540.247657

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.77269 & 6.5565 & 0 \tabularnewline
2 & 0.152617 & 1.295 & 0.099729 \tabularnewline
3 & 0.152295 & 1.2923 & 0.100198 \tabularnewline
4 & 0.257096 & 2.1815 & 0.016205 \tabularnewline
5 & 0.01977 & 0.1678 & 0.433624 \tabularnewline
6 & -0.114716 & -0.9734 & 0.166808 \tabularnewline
7 & 0.04225 & 0.3585 & 0.360509 \tabularnewline
8 & -0.074289 & -0.6304 & 0.265226 \tabularnewline
9 & -0.036714 & -0.3115 & 0.378151 \tabularnewline
10 & -0.027407 & -0.2326 & 0.408384 \tabularnewline
11 & 0.04315 & 0.3661 & 0.357668 \tabularnewline
12 & 0.158264 & 1.3429 & 0.091758 \tabularnewline
13 & -0.207969 & -1.7647 & 0.040929 \tabularnewline
14 & -0.055387 & -0.47 & 0.319897 \tabularnewline
15 & 0.022297 & 0.1892 & 0.425235 \tabularnewline
16 & -0.139691 & -1.1853 & 0.119895 \tabularnewline
17 & -0.003411 & -0.0289 & 0.488493 \tabularnewline
18 & -0.013161 & -0.1117 & 0.455697 \tabularnewline
19 & 0.159785 & 1.3558 & 0.089696 \tabularnewline
20 & -0.12236 & -1.0383 & 0.151312 \tabularnewline
21 & -0.018925 & -0.1606 & 0.436434 \tabularnewline
22 & 0.026941 & 0.2286 & 0.409912 \tabularnewline
23 & 0.114296 & 0.9698 & 0.167689 \tabularnewline
24 & -0.064944 & -0.5511 & 0.291647 \tabularnewline
25 & -0.088562 & -0.7515 & 0.227408 \tabularnewline
26 & 0.136981 & 1.1623 & 0.124472 \tabularnewline
27 & -0.034437 & -0.2922 & 0.385483 \tabularnewline
28 & -0.254174 & -2.1567 & 0.017183 \tabularnewline
29 & 0.121364 & 1.0298 & 0.153274 \tabularnewline
30 & -0.079068 & -0.6709 & 0.25221 \tabularnewline
31 & -0.027343 & -0.232 & 0.408593 \tabularnewline
32 & -0.036197 & -0.3071 & 0.379812 \tabularnewline
33 & -0.099869 & -0.8474 & 0.199784 \tabularnewline
34 & 0.093634 & 0.7945 & 0.214754 \tabularnewline
35 & 0.08513 & 0.7223 & 0.23621 \tabularnewline
36 & 0.025378 & 0.2153 & 0.415054 \tabularnewline
37 & -0.088268 & -0.749 & 0.228154 \tabularnewline
38 & -0.059916 & -0.5084 & 0.306362 \tabularnewline
39 & -0.061038 & -0.5179 & 0.303048 \tabularnewline
40 & -0.006721 & -0.057 & 0.477341 \tabularnewline
41 & 0.014983 & 0.1271 & 0.449594 \tabularnewline
42 & 0.119142 & 1.011 & 0.157711 \tabularnewline
43 & -0.019232 & -0.1632 & 0.435413 \tabularnewline
44 & 0.02953 & 0.2506 & 0.40143 \tabularnewline
45 & -0.016639 & -0.1412 & 0.444058 \tabularnewline
46 & -0.149713 & -1.2704 & 0.104024 \tabularnewline
47 & 0.064894 & 0.5506 & 0.291792 \tabularnewline
48 & -0.080771 & -0.6854 & 0.247657 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=29721&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]0.77269[/C][C]6.5565[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.152617[/C][C]1.295[/C][C]0.099729[/C][/ROW]
[ROW][C]3[/C][C]0.152295[/C][C]1.2923[/C][C]0.100198[/C][/ROW]
[ROW][C]4[/C][C]0.257096[/C][C]2.1815[/C][C]0.016205[/C][/ROW]
[ROW][C]5[/C][C]0.01977[/C][C]0.1678[/C][C]0.433624[/C][/ROW]
[ROW][C]6[/C][C]-0.114716[/C][C]-0.9734[/C][C]0.166808[/C][/ROW]
[ROW][C]7[/C][C]0.04225[/C][C]0.3585[/C][C]0.360509[/C][/ROW]
[ROW][C]8[/C][C]-0.074289[/C][C]-0.6304[/C][C]0.265226[/C][/ROW]
[ROW][C]9[/C][C]-0.036714[/C][C]-0.3115[/C][C]0.378151[/C][/ROW]
[ROW][C]10[/C][C]-0.027407[/C][C]-0.2326[/C][C]0.408384[/C][/ROW]
[ROW][C]11[/C][C]0.04315[/C][C]0.3661[/C][C]0.357668[/C][/ROW]
[ROW][C]12[/C][C]0.158264[/C][C]1.3429[/C][C]0.091758[/C][/ROW]
[ROW][C]13[/C][C]-0.207969[/C][C]-1.7647[/C][C]0.040929[/C][/ROW]
[ROW][C]14[/C][C]-0.055387[/C][C]-0.47[/C][C]0.319897[/C][/ROW]
[ROW][C]15[/C][C]0.022297[/C][C]0.1892[/C][C]0.425235[/C][/ROW]
[ROW][C]16[/C][C]-0.139691[/C][C]-1.1853[/C][C]0.119895[/C][/ROW]
[ROW][C]17[/C][C]-0.003411[/C][C]-0.0289[/C][C]0.488493[/C][/ROW]
[ROW][C]18[/C][C]-0.013161[/C][C]-0.1117[/C][C]0.455697[/C][/ROW]
[ROW][C]19[/C][C]0.159785[/C][C]1.3558[/C][C]0.089696[/C][/ROW]
[ROW][C]20[/C][C]-0.12236[/C][C]-1.0383[/C][C]0.151312[/C][/ROW]
[ROW][C]21[/C][C]-0.018925[/C][C]-0.1606[/C][C]0.436434[/C][/ROW]
[ROW][C]22[/C][C]0.026941[/C][C]0.2286[/C][C]0.409912[/C][/ROW]
[ROW][C]23[/C][C]0.114296[/C][C]0.9698[/C][C]0.167689[/C][/ROW]
[ROW][C]24[/C][C]-0.064944[/C][C]-0.5511[/C][C]0.291647[/C][/ROW]
[ROW][C]25[/C][C]-0.088562[/C][C]-0.7515[/C][C]0.227408[/C][/ROW]
[ROW][C]26[/C][C]0.136981[/C][C]1.1623[/C][C]0.124472[/C][/ROW]
[ROW][C]27[/C][C]-0.034437[/C][C]-0.2922[/C][C]0.385483[/C][/ROW]
[ROW][C]28[/C][C]-0.254174[/C][C]-2.1567[/C][C]0.017183[/C][/ROW]
[ROW][C]29[/C][C]0.121364[/C][C]1.0298[/C][C]0.153274[/C][/ROW]
[ROW][C]30[/C][C]-0.079068[/C][C]-0.6709[/C][C]0.25221[/C][/ROW]
[ROW][C]31[/C][C]-0.027343[/C][C]-0.232[/C][C]0.408593[/C][/ROW]
[ROW][C]32[/C][C]-0.036197[/C][C]-0.3071[/C][C]0.379812[/C][/ROW]
[ROW][C]33[/C][C]-0.099869[/C][C]-0.8474[/C][C]0.199784[/C][/ROW]
[ROW][C]34[/C][C]0.093634[/C][C]0.7945[/C][C]0.214754[/C][/ROW]
[ROW][C]35[/C][C]0.08513[/C][C]0.7223[/C][C]0.23621[/C][/ROW]
[ROW][C]36[/C][C]0.025378[/C][C]0.2153[/C][C]0.415054[/C][/ROW]
[ROW][C]37[/C][C]-0.088268[/C][C]-0.749[/C][C]0.228154[/C][/ROW]
[ROW][C]38[/C][C]-0.059916[/C][C]-0.5084[/C][C]0.306362[/C][/ROW]
[ROW][C]39[/C][C]-0.061038[/C][C]-0.5179[/C][C]0.303048[/C][/ROW]
[ROW][C]40[/C][C]-0.006721[/C][C]-0.057[/C][C]0.477341[/C][/ROW]
[ROW][C]41[/C][C]0.014983[/C][C]0.1271[/C][C]0.449594[/C][/ROW]
[ROW][C]42[/C][C]0.119142[/C][C]1.011[/C][C]0.157711[/C][/ROW]
[ROW][C]43[/C][C]-0.019232[/C][C]-0.1632[/C][C]0.435413[/C][/ROW]
[ROW][C]44[/C][C]0.02953[/C][C]0.2506[/C][C]0.40143[/C][/ROW]
[ROW][C]45[/C][C]-0.016639[/C][C]-0.1412[/C][C]0.444058[/C][/ROW]
[ROW][C]46[/C][C]-0.149713[/C][C]-1.2704[/C][C]0.104024[/C][/ROW]
[ROW][C]47[/C][C]0.064894[/C][C]0.5506[/C][C]0.291792[/C][/ROW]
[ROW][C]48[/C][C]-0.080771[/C][C]-0.6854[/C][C]0.247657[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=29721&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=29721&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
10.772696.55650
20.1526171.2950.099729
30.1522951.29230.100198
40.2570962.18150.016205
50.019770.16780.433624
6-0.114716-0.97340.166808
70.042250.35850.360509
8-0.074289-0.63040.265226
9-0.036714-0.31150.378151
10-0.027407-0.23260.408384
110.043150.36610.357668
120.1582641.34290.091758
13-0.207969-1.76470.040929
14-0.055387-0.470.319897
150.0222970.18920.425235
16-0.139691-1.18530.119895
17-0.003411-0.02890.488493
18-0.013161-0.11170.455697
190.1597851.35580.089696
20-0.12236-1.03830.151312
21-0.018925-0.16060.436434
220.0269410.22860.409912
230.1142960.96980.167689
24-0.064944-0.55110.291647
25-0.088562-0.75150.227408
260.1369811.16230.124472
27-0.034437-0.29220.385483
28-0.254174-2.15670.017183
290.1213641.02980.153274
30-0.079068-0.67090.25221
31-0.027343-0.2320.408593
32-0.036197-0.30710.379812
33-0.099869-0.84740.199784
340.0936340.79450.214754
350.085130.72230.23621
360.0253780.21530.415054
37-0.088268-0.7490.228154
38-0.059916-0.50840.306362
39-0.061038-0.51790.303048
40-0.006721-0.0570.477341
410.0149830.12710.449594
420.1191421.0110.157711
43-0.019232-0.16320.435413
440.029530.25060.40143
45-0.016639-0.14120.444058
46-0.149713-1.27040.104024
470.0648940.55060.291792
48-0.080771-0.68540.247657



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;
R code (references can be found in the software module):
if (par1 == 'Default') {
par1 = 10*log10(length(x))
} else {
par1 <- as.numeric(par1)
}
par2 <- as.numeric(par2)
par3 <- as.numeric(par3)
par4 <- as.numeric(par4)
par5 <- as.numeric(par5)
if (par2 == 0) {
x <- log(x)
} else {
x <- (x ^ par2 - 1) / par2
}
if (par3 > 0) x <- diff(x,lag=1,difference=par3)
if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
bitmap(file='pic1.png')
racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
dev.off()
bitmap(file='pic2.png')
rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
dev.off()
(myacf <- c(racf$acf))
(mypacf <- c(rpacf$acf))
lengthx <- length(x)
sqrtn <- sqrt(lengthx)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','ACF(k)','click here for more information about the Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 2:(par1+1)) {
a<-table.row.start(a)
a<-table.element(a,i-1,header=TRUE)
a<-table.element(a,round(myacf[i],6))
mytstat <- myacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(abs(mytstat),lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Partial Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','PACF(k)','click here for more information about the Partial Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:par1) {
a<-table.row.start(a)
a<-table.element(a,i,header=TRUE)
a<-table.element(a,round(mypacf[i],6))
mytstat <- mypacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(abs(mytstat),lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')