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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationThu, 14 May 2009 05:45:44 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/May/14/t1242301590prpfa4aihh5gv1t.htm/, Retrieved Mon, 29 Apr 2024 05:33:06 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=39977, Retrieved Mon, 29 Apr 2024 05:33:06 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact100
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Autocorrelation 6...] [2009-05-14 11:45:44] [8c726525c89fb87c09aaacaddee1db18] [Current]
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Dataseries X:
104.9
110.9
104.8
94.1
95.8
99.3
101.1
104.0
99.0
105.4
107.1
110.7
117.1
118.7
126.5
127.5
134.6
131.8
135.9
142.7
141.7
153.4
145.0
137.7
148.3
152.2
169.4
168.6
161.1
174.1
179.0
190.6
190.0
181.6
174.8
180.5
196.8
193.8
197.0
216.3
221.4
217.9
229.7
227.4
204.2
196.6
198.8
207.5
190.7
201.6
210.5
223.5
223.8
231.2
244.0
234.7
250.2
265.7
287.6
283.3
295.4
312.3
333.8
347.7
383.2
407.1
413.6
362.7
321.9
239.4
191.0
159.7
166.7




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

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39977&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39977&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39977&T=0

As an alternative you can also use a QR Code:  

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

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







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.8329846.50580
20.5709934.45961.8e-05
30.2808322.19340.016051
40.0347090.27110.393621
5-0.127918-0.99910.160853
6-0.215637-1.68420.048629
7-0.24307-1.89840.031186
8-0.256487-2.00320.024801
9-0.268654-2.09830.020016
10-0.282034-2.20280.0157
11-0.28828-2.25150.013982
12-0.297646-2.32470.011717
13-0.264834-2.06840.021424
14-0.216516-1.6910.047966
15-0.135344-1.05710.147323
16-0.073083-0.57080.285116
17-0.02491-0.19460.423194
18-0.003987-0.03110.487629
190.0215660.16840.433398
200.051950.40570.343175
210.0722870.56460.287215
220.0797790.62310.267772
230.0863840.67470.251214
240.0940610.73460.232686
250.0845340.66020.255796
260.0827380.64620.260286
270.0560610.43790.33152
280.0199120.15550.438464
29-0.01406-0.10980.456458
30-0.024608-0.19220.424113
31-0.012125-0.09470.462432
32-0.010293-0.08040.468094
330.0038370.030.488096
340.0112550.08790.465121
350.0084580.06610.473774
360.0155990.12180.451716
370.0169630.13250.447518
380.0114420.08940.464543
39-0.004041-0.03160.487463
40-0.019641-0.15340.439296
41-0.01283-0.10020.460254
42-0.005699-0.04450.48232
43-0.007163-0.05590.477784
44-0.007641-0.05970.476305
45-0.016618-0.12980.448578
46-0.010668-0.08330.466934
47-0.009665-0.07550.470038
48-0.025431-0.19860.42161

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.832984 & 6.5058 & 0 \tabularnewline
2 & 0.570993 & 4.4596 & 1.8e-05 \tabularnewline
3 & 0.280832 & 2.1934 & 0.016051 \tabularnewline
4 & 0.034709 & 0.2711 & 0.393621 \tabularnewline
5 & -0.127918 & -0.9991 & 0.160853 \tabularnewline
6 & -0.215637 & -1.6842 & 0.048629 \tabularnewline
7 & -0.24307 & -1.8984 & 0.031186 \tabularnewline
8 & -0.256487 & -2.0032 & 0.024801 \tabularnewline
9 & -0.268654 & -2.0983 & 0.020016 \tabularnewline
10 & -0.282034 & -2.2028 & 0.0157 \tabularnewline
11 & -0.28828 & -2.2515 & 0.013982 \tabularnewline
12 & -0.297646 & -2.3247 & 0.011717 \tabularnewline
13 & -0.264834 & -2.0684 & 0.021424 \tabularnewline
14 & -0.216516 & -1.691 & 0.047966 \tabularnewline
15 & -0.135344 & -1.0571 & 0.147323 \tabularnewline
16 & -0.073083 & -0.5708 & 0.285116 \tabularnewline
17 & -0.02491 & -0.1946 & 0.423194 \tabularnewline
18 & -0.003987 & -0.0311 & 0.487629 \tabularnewline
19 & 0.021566 & 0.1684 & 0.433398 \tabularnewline
20 & 0.05195 & 0.4057 & 0.343175 \tabularnewline
21 & 0.072287 & 0.5646 & 0.287215 \tabularnewline
22 & 0.079779 & 0.6231 & 0.267772 \tabularnewline
23 & 0.086384 & 0.6747 & 0.251214 \tabularnewline
24 & 0.094061 & 0.7346 & 0.232686 \tabularnewline
25 & 0.084534 & 0.6602 & 0.255796 \tabularnewline
26 & 0.082738 & 0.6462 & 0.260286 \tabularnewline
27 & 0.056061 & 0.4379 & 0.33152 \tabularnewline
28 & 0.019912 & 0.1555 & 0.438464 \tabularnewline
29 & -0.01406 & -0.1098 & 0.456458 \tabularnewline
30 & -0.024608 & -0.1922 & 0.424113 \tabularnewline
31 & -0.012125 & -0.0947 & 0.462432 \tabularnewline
32 & -0.010293 & -0.0804 & 0.468094 \tabularnewline
33 & 0.003837 & 0.03 & 0.488096 \tabularnewline
34 & 0.011255 & 0.0879 & 0.465121 \tabularnewline
35 & 0.008458 & 0.0661 & 0.473774 \tabularnewline
36 & 0.015599 & 0.1218 & 0.451716 \tabularnewline
37 & 0.016963 & 0.1325 & 0.447518 \tabularnewline
38 & 0.011442 & 0.0894 & 0.464543 \tabularnewline
39 & -0.004041 & -0.0316 & 0.487463 \tabularnewline
40 & -0.019641 & -0.1534 & 0.439296 \tabularnewline
41 & -0.01283 & -0.1002 & 0.460254 \tabularnewline
42 & -0.005699 & -0.0445 & 0.48232 \tabularnewline
43 & -0.007163 & -0.0559 & 0.477784 \tabularnewline
44 & -0.007641 & -0.0597 & 0.476305 \tabularnewline
45 & -0.016618 & -0.1298 & 0.448578 \tabularnewline
46 & -0.010668 & -0.0833 & 0.466934 \tabularnewline
47 & -0.009665 & -0.0755 & 0.470038 \tabularnewline
48 & -0.025431 & -0.1986 & 0.42161 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39977&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]0.832984[/C][C]6.5058[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.570993[/C][C]4.4596[/C][C]1.8e-05[/C][/ROW]
[ROW][C]3[/C][C]0.280832[/C][C]2.1934[/C][C]0.016051[/C][/ROW]
[ROW][C]4[/C][C]0.034709[/C][C]0.2711[/C][C]0.393621[/C][/ROW]
[ROW][C]5[/C][C]-0.127918[/C][C]-0.9991[/C][C]0.160853[/C][/ROW]
[ROW][C]6[/C][C]-0.215637[/C][C]-1.6842[/C][C]0.048629[/C][/ROW]
[ROW][C]7[/C][C]-0.24307[/C][C]-1.8984[/C][C]0.031186[/C][/ROW]
[ROW][C]8[/C][C]-0.256487[/C][C]-2.0032[/C][C]0.024801[/C][/ROW]
[ROW][C]9[/C][C]-0.268654[/C][C]-2.0983[/C][C]0.020016[/C][/ROW]
[ROW][C]10[/C][C]-0.282034[/C][C]-2.2028[/C][C]0.0157[/C][/ROW]
[ROW][C]11[/C][C]-0.28828[/C][C]-2.2515[/C][C]0.013982[/C][/ROW]
[ROW][C]12[/C][C]-0.297646[/C][C]-2.3247[/C][C]0.011717[/C][/ROW]
[ROW][C]13[/C][C]-0.264834[/C][C]-2.0684[/C][C]0.021424[/C][/ROW]
[ROW][C]14[/C][C]-0.216516[/C][C]-1.691[/C][C]0.047966[/C][/ROW]
[ROW][C]15[/C][C]-0.135344[/C][C]-1.0571[/C][C]0.147323[/C][/ROW]
[ROW][C]16[/C][C]-0.073083[/C][C]-0.5708[/C][C]0.285116[/C][/ROW]
[ROW][C]17[/C][C]-0.02491[/C][C]-0.1946[/C][C]0.423194[/C][/ROW]
[ROW][C]18[/C][C]-0.003987[/C][C]-0.0311[/C][C]0.487629[/C][/ROW]
[ROW][C]19[/C][C]0.021566[/C][C]0.1684[/C][C]0.433398[/C][/ROW]
[ROW][C]20[/C][C]0.05195[/C][C]0.4057[/C][C]0.343175[/C][/ROW]
[ROW][C]21[/C][C]0.072287[/C][C]0.5646[/C][C]0.287215[/C][/ROW]
[ROW][C]22[/C][C]0.079779[/C][C]0.6231[/C][C]0.267772[/C][/ROW]
[ROW][C]23[/C][C]0.086384[/C][C]0.6747[/C][C]0.251214[/C][/ROW]
[ROW][C]24[/C][C]0.094061[/C][C]0.7346[/C][C]0.232686[/C][/ROW]
[ROW][C]25[/C][C]0.084534[/C][C]0.6602[/C][C]0.255796[/C][/ROW]
[ROW][C]26[/C][C]0.082738[/C][C]0.6462[/C][C]0.260286[/C][/ROW]
[ROW][C]27[/C][C]0.056061[/C][C]0.4379[/C][C]0.33152[/C][/ROW]
[ROW][C]28[/C][C]0.019912[/C][C]0.1555[/C][C]0.438464[/C][/ROW]
[ROW][C]29[/C][C]-0.01406[/C][C]-0.1098[/C][C]0.456458[/C][/ROW]
[ROW][C]30[/C][C]-0.024608[/C][C]-0.1922[/C][C]0.424113[/C][/ROW]
[ROW][C]31[/C][C]-0.012125[/C][C]-0.0947[/C][C]0.462432[/C][/ROW]
[ROW][C]32[/C][C]-0.010293[/C][C]-0.0804[/C][C]0.468094[/C][/ROW]
[ROW][C]33[/C][C]0.003837[/C][C]0.03[/C][C]0.488096[/C][/ROW]
[ROW][C]34[/C][C]0.011255[/C][C]0.0879[/C][C]0.465121[/C][/ROW]
[ROW][C]35[/C][C]0.008458[/C][C]0.0661[/C][C]0.473774[/C][/ROW]
[ROW][C]36[/C][C]0.015599[/C][C]0.1218[/C][C]0.451716[/C][/ROW]
[ROW][C]37[/C][C]0.016963[/C][C]0.1325[/C][C]0.447518[/C][/ROW]
[ROW][C]38[/C][C]0.011442[/C][C]0.0894[/C][C]0.464543[/C][/ROW]
[ROW][C]39[/C][C]-0.004041[/C][C]-0.0316[/C][C]0.487463[/C][/ROW]
[ROW][C]40[/C][C]-0.019641[/C][C]-0.1534[/C][C]0.439296[/C][/ROW]
[ROW][C]41[/C][C]-0.01283[/C][C]-0.1002[/C][C]0.460254[/C][/ROW]
[ROW][C]42[/C][C]-0.005699[/C][C]-0.0445[/C][C]0.48232[/C][/ROW]
[ROW][C]43[/C][C]-0.007163[/C][C]-0.0559[/C][C]0.477784[/C][/ROW]
[ROW][C]44[/C][C]-0.007641[/C][C]-0.0597[/C][C]0.476305[/C][/ROW]
[ROW][C]45[/C][C]-0.016618[/C][C]-0.1298[/C][C]0.448578[/C][/ROW]
[ROW][C]46[/C][C]-0.010668[/C][C]-0.0833[/C][C]0.466934[/C][/ROW]
[ROW][C]47[/C][C]-0.009665[/C][C]-0.0755[/C][C]0.470038[/C][/ROW]
[ROW][C]48[/C][C]-0.025431[/C][C]-0.1986[/C][C]0.42161[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39977&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39977&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
10.8329846.50580
20.5709934.45961.8e-05
30.2808322.19340.016051
40.0347090.27110.393621
5-0.127918-0.99910.160853
6-0.215637-1.68420.048629
7-0.24307-1.89840.031186
8-0.256487-2.00320.024801
9-0.268654-2.09830.020016
10-0.282034-2.20280.0157
11-0.28828-2.25150.013982
12-0.297646-2.32470.011717
13-0.264834-2.06840.021424
14-0.216516-1.6910.047966
15-0.135344-1.05710.147323
16-0.073083-0.57080.285116
17-0.02491-0.19460.423194
18-0.003987-0.03110.487629
190.0215660.16840.433398
200.051950.40570.343175
210.0722870.56460.287215
220.0797790.62310.267772
230.0863840.67470.251214
240.0940610.73460.232686
250.0845340.66020.255796
260.0827380.64620.260286
270.0560610.43790.33152
280.0199120.15550.438464
29-0.01406-0.10980.456458
30-0.024608-0.19220.424113
31-0.012125-0.09470.462432
32-0.010293-0.08040.468094
330.0038370.030.488096
340.0112550.08790.465121
350.0084580.06610.473774
360.0155990.12180.451716
370.0169630.13250.447518
380.0114420.08940.464543
39-0.004041-0.03160.487463
40-0.019641-0.15340.439296
41-0.01283-0.10020.460254
42-0.005699-0.04450.48232
43-0.007163-0.05590.477784
44-0.007641-0.05970.476305
45-0.016618-0.12980.448578
46-0.010668-0.08330.466934
47-0.009665-0.07550.470038
48-0.025431-0.19860.42161







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.8329846.50580
2-0.401351-3.13470.001323
3-0.200023-1.56220.061704
4-0.032845-0.25650.399203
50.0180920.14130.444049
6-0.046002-0.35930.36031
7-0.038762-0.30270.381558
8-0.133501-1.04270.150607
9-0.091452-0.71430.238895
10-0.071404-0.55770.28955
11-0.056016-0.43750.331646
12-0.136815-1.06860.144739
130.053170.41530.339699
14-0.088384-0.69030.246311
150.0358150.27970.390317
16-0.145325-1.1350.130402
17-0.028023-0.21890.413742
18-0.093735-0.73210.233456
190.0705740.55120.291756
20-0.034794-0.27170.393366
21-0.067255-0.52530.300647
22-0.08924-0.6970.24423
230.0414770.32390.373543
24-0.021387-0.1670.433947
25-0.050576-0.3950.347106
260.0027220.02130.491554
27-0.089219-0.69680.244281
28-0.066068-0.5160.303857
290.0198120.15470.43877
30-0.000432-0.00340.498659
310.0217620.170.4328
32-0.118851-0.92830.178467
330.0772150.60310.274349
34-0.057117-0.44610.328554
35-0.016613-0.12980.448594
360.0396490.30970.378933
37-0.032076-0.25050.401514
38-0.025126-0.19620.422536
39-0.048941-0.38220.351805
40-0.003603-0.02810.488821
410.0516940.40370.343908
42-0.025909-0.20240.420157
43-0.04386-0.34260.366555
44-0.001538-0.0120.495226
45-0.008674-0.06770.473105
460.0307980.24050.405358
47-0.041946-0.32760.372164
48-0.082975-0.64810.259692

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.832984 & 6.5058 & 0 \tabularnewline
2 & -0.401351 & -3.1347 & 0.001323 \tabularnewline
3 & -0.200023 & -1.5622 & 0.061704 \tabularnewline
4 & -0.032845 & -0.2565 & 0.399203 \tabularnewline
5 & 0.018092 & 0.1413 & 0.444049 \tabularnewline
6 & -0.046002 & -0.3593 & 0.36031 \tabularnewline
7 & -0.038762 & -0.3027 & 0.381558 \tabularnewline
8 & -0.133501 & -1.0427 & 0.150607 \tabularnewline
9 & -0.091452 & -0.7143 & 0.238895 \tabularnewline
10 & -0.071404 & -0.5577 & 0.28955 \tabularnewline
11 & -0.056016 & -0.4375 & 0.331646 \tabularnewline
12 & -0.136815 & -1.0686 & 0.144739 \tabularnewline
13 & 0.05317 & 0.4153 & 0.339699 \tabularnewline
14 & -0.088384 & -0.6903 & 0.246311 \tabularnewline
15 & 0.035815 & 0.2797 & 0.390317 \tabularnewline
16 & -0.145325 & -1.135 & 0.130402 \tabularnewline
17 & -0.028023 & -0.2189 & 0.413742 \tabularnewline
18 & -0.093735 & -0.7321 & 0.233456 \tabularnewline
19 & 0.070574 & 0.5512 & 0.291756 \tabularnewline
20 & -0.034794 & -0.2717 & 0.393366 \tabularnewline
21 & -0.067255 & -0.5253 & 0.300647 \tabularnewline
22 & -0.08924 & -0.697 & 0.24423 \tabularnewline
23 & 0.041477 & 0.3239 & 0.373543 \tabularnewline
24 & -0.021387 & -0.167 & 0.433947 \tabularnewline
25 & -0.050576 & -0.395 & 0.347106 \tabularnewline
26 & 0.002722 & 0.0213 & 0.491554 \tabularnewline
27 & -0.089219 & -0.6968 & 0.244281 \tabularnewline
28 & -0.066068 & -0.516 & 0.303857 \tabularnewline
29 & 0.019812 & 0.1547 & 0.43877 \tabularnewline
30 & -0.000432 & -0.0034 & 0.498659 \tabularnewline
31 & 0.021762 & 0.17 & 0.4328 \tabularnewline
32 & -0.118851 & -0.9283 & 0.178467 \tabularnewline
33 & 0.077215 & 0.6031 & 0.274349 \tabularnewline
34 & -0.057117 & -0.4461 & 0.328554 \tabularnewline
35 & -0.016613 & -0.1298 & 0.448594 \tabularnewline
36 & 0.039649 & 0.3097 & 0.378933 \tabularnewline
37 & -0.032076 & -0.2505 & 0.401514 \tabularnewline
38 & -0.025126 & -0.1962 & 0.422536 \tabularnewline
39 & -0.048941 & -0.3822 & 0.351805 \tabularnewline
40 & -0.003603 & -0.0281 & 0.488821 \tabularnewline
41 & 0.051694 & 0.4037 & 0.343908 \tabularnewline
42 & -0.025909 & -0.2024 & 0.420157 \tabularnewline
43 & -0.04386 & -0.3426 & 0.366555 \tabularnewline
44 & -0.001538 & -0.012 & 0.495226 \tabularnewline
45 & -0.008674 & -0.0677 & 0.473105 \tabularnewline
46 & 0.030798 & 0.2405 & 0.405358 \tabularnewline
47 & -0.041946 & -0.3276 & 0.372164 \tabularnewline
48 & -0.082975 & -0.6481 & 0.259692 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39977&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]0.832984[/C][C]6.5058[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.401351[/C][C]-3.1347[/C][C]0.001323[/C][/ROW]
[ROW][C]3[/C][C]-0.200023[/C][C]-1.5622[/C][C]0.061704[/C][/ROW]
[ROW][C]4[/C][C]-0.032845[/C][C]-0.2565[/C][C]0.399203[/C][/ROW]
[ROW][C]5[/C][C]0.018092[/C][C]0.1413[/C][C]0.444049[/C][/ROW]
[ROW][C]6[/C][C]-0.046002[/C][C]-0.3593[/C][C]0.36031[/C][/ROW]
[ROW][C]7[/C][C]-0.038762[/C][C]-0.3027[/C][C]0.381558[/C][/ROW]
[ROW][C]8[/C][C]-0.133501[/C][C]-1.0427[/C][C]0.150607[/C][/ROW]
[ROW][C]9[/C][C]-0.091452[/C][C]-0.7143[/C][C]0.238895[/C][/ROW]
[ROW][C]10[/C][C]-0.071404[/C][C]-0.5577[/C][C]0.28955[/C][/ROW]
[ROW][C]11[/C][C]-0.056016[/C][C]-0.4375[/C][C]0.331646[/C][/ROW]
[ROW][C]12[/C][C]-0.136815[/C][C]-1.0686[/C][C]0.144739[/C][/ROW]
[ROW][C]13[/C][C]0.05317[/C][C]0.4153[/C][C]0.339699[/C][/ROW]
[ROW][C]14[/C][C]-0.088384[/C][C]-0.6903[/C][C]0.246311[/C][/ROW]
[ROW][C]15[/C][C]0.035815[/C][C]0.2797[/C][C]0.390317[/C][/ROW]
[ROW][C]16[/C][C]-0.145325[/C][C]-1.135[/C][C]0.130402[/C][/ROW]
[ROW][C]17[/C][C]-0.028023[/C][C]-0.2189[/C][C]0.413742[/C][/ROW]
[ROW][C]18[/C][C]-0.093735[/C][C]-0.7321[/C][C]0.233456[/C][/ROW]
[ROW][C]19[/C][C]0.070574[/C][C]0.5512[/C][C]0.291756[/C][/ROW]
[ROW][C]20[/C][C]-0.034794[/C][C]-0.2717[/C][C]0.393366[/C][/ROW]
[ROW][C]21[/C][C]-0.067255[/C][C]-0.5253[/C][C]0.300647[/C][/ROW]
[ROW][C]22[/C][C]-0.08924[/C][C]-0.697[/C][C]0.24423[/C][/ROW]
[ROW][C]23[/C][C]0.041477[/C][C]0.3239[/C][C]0.373543[/C][/ROW]
[ROW][C]24[/C][C]-0.021387[/C][C]-0.167[/C][C]0.433947[/C][/ROW]
[ROW][C]25[/C][C]-0.050576[/C][C]-0.395[/C][C]0.347106[/C][/ROW]
[ROW][C]26[/C][C]0.002722[/C][C]0.0213[/C][C]0.491554[/C][/ROW]
[ROW][C]27[/C][C]-0.089219[/C][C]-0.6968[/C][C]0.244281[/C][/ROW]
[ROW][C]28[/C][C]-0.066068[/C][C]-0.516[/C][C]0.303857[/C][/ROW]
[ROW][C]29[/C][C]0.019812[/C][C]0.1547[/C][C]0.43877[/C][/ROW]
[ROW][C]30[/C][C]-0.000432[/C][C]-0.0034[/C][C]0.498659[/C][/ROW]
[ROW][C]31[/C][C]0.021762[/C][C]0.17[/C][C]0.4328[/C][/ROW]
[ROW][C]32[/C][C]-0.118851[/C][C]-0.9283[/C][C]0.178467[/C][/ROW]
[ROW][C]33[/C][C]0.077215[/C][C]0.6031[/C][C]0.274349[/C][/ROW]
[ROW][C]34[/C][C]-0.057117[/C][C]-0.4461[/C][C]0.328554[/C][/ROW]
[ROW][C]35[/C][C]-0.016613[/C][C]-0.1298[/C][C]0.448594[/C][/ROW]
[ROW][C]36[/C][C]0.039649[/C][C]0.3097[/C][C]0.378933[/C][/ROW]
[ROW][C]37[/C][C]-0.032076[/C][C]-0.2505[/C][C]0.401514[/C][/ROW]
[ROW][C]38[/C][C]-0.025126[/C][C]-0.1962[/C][C]0.422536[/C][/ROW]
[ROW][C]39[/C][C]-0.048941[/C][C]-0.3822[/C][C]0.351805[/C][/ROW]
[ROW][C]40[/C][C]-0.003603[/C][C]-0.0281[/C][C]0.488821[/C][/ROW]
[ROW][C]41[/C][C]0.051694[/C][C]0.4037[/C][C]0.343908[/C][/ROW]
[ROW][C]42[/C][C]-0.025909[/C][C]-0.2024[/C][C]0.420157[/C][/ROW]
[ROW][C]43[/C][C]-0.04386[/C][C]-0.3426[/C][C]0.366555[/C][/ROW]
[ROW][C]44[/C][C]-0.001538[/C][C]-0.012[/C][C]0.495226[/C][/ROW]
[ROW][C]45[/C][C]-0.008674[/C][C]-0.0677[/C][C]0.473105[/C][/ROW]
[ROW][C]46[/C][C]0.030798[/C][C]0.2405[/C][C]0.405358[/C][/ROW]
[ROW][C]47[/C][C]-0.041946[/C][C]-0.3276[/C][C]0.372164[/C][/ROW]
[ROW][C]48[/C][C]-0.082975[/C][C]-0.6481[/C][C]0.259692[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39977&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39977&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
10.8329846.50580
2-0.401351-3.13470.001323
3-0.200023-1.56220.061704
4-0.032845-0.25650.399203
50.0180920.14130.444049
6-0.046002-0.35930.36031
7-0.038762-0.30270.381558
8-0.133501-1.04270.150607
9-0.091452-0.71430.238895
10-0.071404-0.55770.28955
11-0.056016-0.43750.331646
12-0.136815-1.06860.144739
130.053170.41530.339699
14-0.088384-0.69030.246311
150.0358150.27970.390317
16-0.145325-1.1350.130402
17-0.028023-0.21890.413742
18-0.093735-0.73210.233456
190.0705740.55120.291756
20-0.034794-0.27170.393366
21-0.067255-0.52530.300647
22-0.08924-0.6970.24423
230.0414770.32390.373543
24-0.021387-0.1670.433947
25-0.050576-0.3950.347106
260.0027220.02130.491554
27-0.089219-0.69680.244281
28-0.066068-0.5160.303857
290.0198120.15470.43877
30-0.000432-0.00340.498659
310.0217620.170.4328
32-0.118851-0.92830.178467
330.0772150.60310.274349
34-0.057117-0.44610.328554
35-0.016613-0.12980.448594
360.0396490.30970.378933
37-0.032076-0.25050.401514
38-0.025126-0.19620.422536
39-0.048941-0.38220.351805
40-0.003603-0.02810.488821
410.0516940.40370.343908
42-0.025909-0.20240.420157
43-0.04386-0.34260.366555
44-0.001538-0.0120.495226
45-0.008674-0.06770.473105
460.0307980.24050.405358
47-0.041946-0.32760.372164
48-0.082975-0.64810.259692



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