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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 computationWed, 24 Dec 2008 06:07:45 -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/24/t1230124191bsjix8a8w7h8r3x.htm/, Retrieved Sat, 25 May 2024 11:39:34 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=36549, Retrieved Sat, 25 May 2024 11:39:34 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact203
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Partial Autocorre...] [2008-12-24 13:07:45] [52492148dbcac26917ed19e489351f79] [Current]
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Dataseries X:
97.5
97.1
97.5
98.5
100.5
102.8
105.2
107.4
108.0
107.6
107.0
105.8
104.3
103.8
104.4
106.2
108.5
109.8
110.3
109.7
108.7
108.9
109.7
110.4
111.4
112.6
113.6
113.8
113.2
113.6
113.9
113.4
113.8
116.0
118.3
120.5
121.9
121.2
120.2
120.6
110.2
109.2
108.7
109.9
112.2
114.5
114.7
113.2
112.1
112.6
113.6
114.0
114.5
115.0
114.9
114.8
114.3
113.7
114.5
116.0
116.6
116.2
115.7
115.6
115.2
115.0
115.7
115.9
115.6
115.9
117.0
117.9
118.8
119.9




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=36549&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=36549&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=36549&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
10.9008557.74940
20.7736456.65510
30.6375755.48460
40.5162874.44131.5e-05
50.4352073.74380.000178
60.3969163.41440.00052
70.3874313.33280.000672
80.3944783.39340.000556
90.3973573.41820.000514
100.3822043.28780.000773
110.3502893.01330.001768
120.3032852.6090.005492
130.2434352.09410.019838
140.1845681.58770.058308
150.1366141.17520.121841
160.1092030.93940.175292
170.0975960.83950.201933
180.0852820.73360.232748
190.0708080.60910.272158
200.0475480.4090.341851
210.0067910.05840.476787
22-0.037744-0.32470.373169
23-0.073367-0.63110.264951
24-0.094814-0.81560.208666
25-0.095265-0.81950.207566
26-0.079404-0.68310.248351
27-0.061367-0.52790.299574
28-0.060094-0.51690.303368
29-0.083676-0.71980.236956
30-0.113643-0.97760.16573
31-0.138905-1.19490.11797
32-0.160739-1.38270.085454
33-0.171052-1.47140.072705
34-0.153625-1.32150.095198
35-0.145908-1.25510.106688
36-0.114969-0.9890.162944
37-0.075841-0.65240.258079
38-0.047366-0.40750.342423
39-0.02532-0.21780.414086
400.0006510.00560.497773
41-0.030851-0.26540.395725
42-0.061313-0.52740.299736
43-0.093879-0.80760.210962
44-0.122777-1.05620.147164
45-0.139793-1.20250.116493
46-0.144859-1.24610.108325
47-0.153188-1.31780.095823
48-0.171217-1.47290.072515

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.900855 & 7.7494 & 0 \tabularnewline
2 & 0.773645 & 6.6551 & 0 \tabularnewline
3 & 0.637575 & 5.4846 & 0 \tabularnewline
4 & 0.516287 & 4.4413 & 1.5e-05 \tabularnewline
5 & 0.435207 & 3.7438 & 0.000178 \tabularnewline
6 & 0.396916 & 3.4144 & 0.00052 \tabularnewline
7 & 0.387431 & 3.3328 & 0.000672 \tabularnewline
8 & 0.394478 & 3.3934 & 0.000556 \tabularnewline
9 & 0.397357 & 3.4182 & 0.000514 \tabularnewline
10 & 0.382204 & 3.2878 & 0.000773 \tabularnewline
11 & 0.350289 & 3.0133 & 0.001768 \tabularnewline
12 & 0.303285 & 2.609 & 0.005492 \tabularnewline
13 & 0.243435 & 2.0941 & 0.019838 \tabularnewline
14 & 0.184568 & 1.5877 & 0.058308 \tabularnewline
15 & 0.136614 & 1.1752 & 0.121841 \tabularnewline
16 & 0.109203 & 0.9394 & 0.175292 \tabularnewline
17 & 0.097596 & 0.8395 & 0.201933 \tabularnewline
18 & 0.085282 & 0.7336 & 0.232748 \tabularnewline
19 & 0.070808 & 0.6091 & 0.272158 \tabularnewline
20 & 0.047548 & 0.409 & 0.341851 \tabularnewline
21 & 0.006791 & 0.0584 & 0.476787 \tabularnewline
22 & -0.037744 & -0.3247 & 0.373169 \tabularnewline
23 & -0.073367 & -0.6311 & 0.264951 \tabularnewline
24 & -0.094814 & -0.8156 & 0.208666 \tabularnewline
25 & -0.095265 & -0.8195 & 0.207566 \tabularnewline
26 & -0.079404 & -0.6831 & 0.248351 \tabularnewline
27 & -0.061367 & -0.5279 & 0.299574 \tabularnewline
28 & -0.060094 & -0.5169 & 0.303368 \tabularnewline
29 & -0.083676 & -0.7198 & 0.236956 \tabularnewline
30 & -0.113643 & -0.9776 & 0.16573 \tabularnewline
31 & -0.138905 & -1.1949 & 0.11797 \tabularnewline
32 & -0.160739 & -1.3827 & 0.085454 \tabularnewline
33 & -0.171052 & -1.4714 & 0.072705 \tabularnewline
34 & -0.153625 & -1.3215 & 0.095198 \tabularnewline
35 & -0.145908 & -1.2551 & 0.106688 \tabularnewline
36 & -0.114969 & -0.989 & 0.162944 \tabularnewline
37 & -0.075841 & -0.6524 & 0.258079 \tabularnewline
38 & -0.047366 & -0.4075 & 0.342423 \tabularnewline
39 & -0.02532 & -0.2178 & 0.414086 \tabularnewline
40 & 0.000651 & 0.0056 & 0.497773 \tabularnewline
41 & -0.030851 & -0.2654 & 0.395725 \tabularnewline
42 & -0.061313 & -0.5274 & 0.299736 \tabularnewline
43 & -0.093879 & -0.8076 & 0.210962 \tabularnewline
44 & -0.122777 & -1.0562 & 0.147164 \tabularnewline
45 & -0.139793 & -1.2025 & 0.116493 \tabularnewline
46 & -0.144859 & -1.2461 & 0.108325 \tabularnewline
47 & -0.153188 & -1.3178 & 0.095823 \tabularnewline
48 & -0.171217 & -1.4729 & 0.072515 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=36549&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]0.900855[/C][C]7.7494[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.773645[/C][C]6.6551[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.637575[/C][C]5.4846[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.516287[/C][C]4.4413[/C][C]1.5e-05[/C][/ROW]
[ROW][C]5[/C][C]0.435207[/C][C]3.7438[/C][C]0.000178[/C][/ROW]
[ROW][C]6[/C][C]0.396916[/C][C]3.4144[/C][C]0.00052[/C][/ROW]
[ROW][C]7[/C][C]0.387431[/C][C]3.3328[/C][C]0.000672[/C][/ROW]
[ROW][C]8[/C][C]0.394478[/C][C]3.3934[/C][C]0.000556[/C][/ROW]
[ROW][C]9[/C][C]0.397357[/C][C]3.4182[/C][C]0.000514[/C][/ROW]
[ROW][C]10[/C][C]0.382204[/C][C]3.2878[/C][C]0.000773[/C][/ROW]
[ROW][C]11[/C][C]0.350289[/C][C]3.0133[/C][C]0.001768[/C][/ROW]
[ROW][C]12[/C][C]0.303285[/C][C]2.609[/C][C]0.005492[/C][/ROW]
[ROW][C]13[/C][C]0.243435[/C][C]2.0941[/C][C]0.019838[/C][/ROW]
[ROW][C]14[/C][C]0.184568[/C][C]1.5877[/C][C]0.058308[/C][/ROW]
[ROW][C]15[/C][C]0.136614[/C][C]1.1752[/C][C]0.121841[/C][/ROW]
[ROW][C]16[/C][C]0.109203[/C][C]0.9394[/C][C]0.175292[/C][/ROW]
[ROW][C]17[/C][C]0.097596[/C][C]0.8395[/C][C]0.201933[/C][/ROW]
[ROW][C]18[/C][C]0.085282[/C][C]0.7336[/C][C]0.232748[/C][/ROW]
[ROW][C]19[/C][C]0.070808[/C][C]0.6091[/C][C]0.272158[/C][/ROW]
[ROW][C]20[/C][C]0.047548[/C][C]0.409[/C][C]0.341851[/C][/ROW]
[ROW][C]21[/C][C]0.006791[/C][C]0.0584[/C][C]0.476787[/C][/ROW]
[ROW][C]22[/C][C]-0.037744[/C][C]-0.3247[/C][C]0.373169[/C][/ROW]
[ROW][C]23[/C][C]-0.073367[/C][C]-0.6311[/C][C]0.264951[/C][/ROW]
[ROW][C]24[/C][C]-0.094814[/C][C]-0.8156[/C][C]0.208666[/C][/ROW]
[ROW][C]25[/C][C]-0.095265[/C][C]-0.8195[/C][C]0.207566[/C][/ROW]
[ROW][C]26[/C][C]-0.079404[/C][C]-0.6831[/C][C]0.248351[/C][/ROW]
[ROW][C]27[/C][C]-0.061367[/C][C]-0.5279[/C][C]0.299574[/C][/ROW]
[ROW][C]28[/C][C]-0.060094[/C][C]-0.5169[/C][C]0.303368[/C][/ROW]
[ROW][C]29[/C][C]-0.083676[/C][C]-0.7198[/C][C]0.236956[/C][/ROW]
[ROW][C]30[/C][C]-0.113643[/C][C]-0.9776[/C][C]0.16573[/C][/ROW]
[ROW][C]31[/C][C]-0.138905[/C][C]-1.1949[/C][C]0.11797[/C][/ROW]
[ROW][C]32[/C][C]-0.160739[/C][C]-1.3827[/C][C]0.085454[/C][/ROW]
[ROW][C]33[/C][C]-0.171052[/C][C]-1.4714[/C][C]0.072705[/C][/ROW]
[ROW][C]34[/C][C]-0.153625[/C][C]-1.3215[/C][C]0.095198[/C][/ROW]
[ROW][C]35[/C][C]-0.145908[/C][C]-1.2551[/C][C]0.106688[/C][/ROW]
[ROW][C]36[/C][C]-0.114969[/C][C]-0.989[/C][C]0.162944[/C][/ROW]
[ROW][C]37[/C][C]-0.075841[/C][C]-0.6524[/C][C]0.258079[/C][/ROW]
[ROW][C]38[/C][C]-0.047366[/C][C]-0.4075[/C][C]0.342423[/C][/ROW]
[ROW][C]39[/C][C]-0.02532[/C][C]-0.2178[/C][C]0.414086[/C][/ROW]
[ROW][C]40[/C][C]0.000651[/C][C]0.0056[/C][C]0.497773[/C][/ROW]
[ROW][C]41[/C][C]-0.030851[/C][C]-0.2654[/C][C]0.395725[/C][/ROW]
[ROW][C]42[/C][C]-0.061313[/C][C]-0.5274[/C][C]0.299736[/C][/ROW]
[ROW][C]43[/C][C]-0.093879[/C][C]-0.8076[/C][C]0.210962[/C][/ROW]
[ROW][C]44[/C][C]-0.122777[/C][C]-1.0562[/C][C]0.147164[/C][/ROW]
[ROW][C]45[/C][C]-0.139793[/C][C]-1.2025[/C][C]0.116493[/C][/ROW]
[ROW][C]46[/C][C]-0.144859[/C][C]-1.2461[/C][C]0.108325[/C][/ROW]
[ROW][C]47[/C][C]-0.153188[/C][C]-1.3178[/C][C]0.095823[/C][/ROW]
[ROW][C]48[/C][C]-0.171217[/C][C]-1.4729[/C][C]0.072515[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=36549&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=36549&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
10.9008557.74940
20.7736456.65510
30.6375755.48460
40.5162874.44131.5e-05
50.4352073.74380.000178
60.3969163.41440.00052
70.3874313.33280.000672
80.3944783.39340.000556
90.3973573.41820.000514
100.3822043.28780.000773
110.3502893.01330.001768
120.3032852.6090.005492
130.2434352.09410.019838
140.1845681.58770.058308
150.1366141.17520.121841
160.1092030.93940.175292
170.0975960.83950.201933
180.0852820.73360.232748
190.0708080.60910.272158
200.0475480.4090.341851
210.0067910.05840.476787
22-0.037744-0.32470.373169
23-0.073367-0.63110.264951
24-0.094814-0.81560.208666
25-0.095265-0.81950.207566
26-0.079404-0.68310.248351
27-0.061367-0.52790.299574
28-0.060094-0.51690.303368
29-0.083676-0.71980.236956
30-0.113643-0.97760.16573
31-0.138905-1.19490.11797
32-0.160739-1.38270.085454
33-0.171052-1.47140.072705
34-0.153625-1.32150.095198
35-0.145908-1.25510.106688
36-0.114969-0.9890.162944
37-0.075841-0.65240.258079
38-0.047366-0.40750.342423
39-0.02532-0.21780.414086
400.0006510.00560.497773
41-0.030851-0.26540.395725
42-0.061313-0.52740.299736
43-0.093879-0.80760.210962
44-0.122777-1.05620.147164
45-0.139793-1.20250.116493
46-0.144859-1.24610.108325
47-0.153188-1.31780.095823
48-0.171217-1.47290.072515







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.9008557.74940
2-0.20107-1.72970.04393
3-0.101561-0.87370.192565
40.0083360.07170.471514
50.1243571.06980.144103
60.1223271.05230.148045
70.0627570.53990.295459
80.0467210.40190.344455
9-0.00985-0.08470.466351
10-0.041066-0.35330.362447
11-0.018928-0.16280.435551
12-0.029517-0.25390.400131
13-0.059624-0.51290.304773
14-0.026335-0.22650.410701
15-0.004434-0.03810.484839
160.0314190.27030.393851
174.4e-054e-040.499849
18-0.068175-0.58650.279674
19-0.030621-0.26340.396482
20-0.036788-0.31650.376272
21-0.076941-0.66190.255054
22-0.013742-0.11820.45311
230.0263060.22630.410798
240.0215690.18550.426656
250.0386030.33210.370387
260.0265370.22830.41003
27-0.014957-0.12870.448985
28-0.086996-0.74840.228305
29-0.092525-0.79590.214309
300.0314830.27080.39364
310.05320.45760.324276
32-0.017375-0.14950.440796
33-0.009555-0.08220.467357
340.0870010.74840.228291
35-0.121108-1.04180.150446
360.1154210.99290.162
370.0604530.520.302294
38-0.015003-0.12910.44883
390.0170150.14640.442014
400.1058090.91020.182834
41-0.282763-2.43240.008708
420.0642950.55310.290935
43-0.036342-0.31260.377722
44-0.045585-0.39210.348043
45-0.041405-0.35620.361359
46-0.012823-0.11030.456232
47-0.10806-0.92960.177809
48-0.093568-0.80490.211729

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.900855 & 7.7494 & 0 \tabularnewline
2 & -0.20107 & -1.7297 & 0.04393 \tabularnewline
3 & -0.101561 & -0.8737 & 0.192565 \tabularnewline
4 & 0.008336 & 0.0717 & 0.471514 \tabularnewline
5 & 0.124357 & 1.0698 & 0.144103 \tabularnewline
6 & 0.122327 & 1.0523 & 0.148045 \tabularnewline
7 & 0.062757 & 0.5399 & 0.295459 \tabularnewline
8 & 0.046721 & 0.4019 & 0.344455 \tabularnewline
9 & -0.00985 & -0.0847 & 0.466351 \tabularnewline
10 & -0.041066 & -0.3533 & 0.362447 \tabularnewline
11 & -0.018928 & -0.1628 & 0.435551 \tabularnewline
12 & -0.029517 & -0.2539 & 0.400131 \tabularnewline
13 & -0.059624 & -0.5129 & 0.304773 \tabularnewline
14 & -0.026335 & -0.2265 & 0.410701 \tabularnewline
15 & -0.004434 & -0.0381 & 0.484839 \tabularnewline
16 & 0.031419 & 0.2703 & 0.393851 \tabularnewline
17 & 4.4e-05 & 4e-04 & 0.499849 \tabularnewline
18 & -0.068175 & -0.5865 & 0.279674 \tabularnewline
19 & -0.030621 & -0.2634 & 0.396482 \tabularnewline
20 & -0.036788 & -0.3165 & 0.376272 \tabularnewline
21 & -0.076941 & -0.6619 & 0.255054 \tabularnewline
22 & -0.013742 & -0.1182 & 0.45311 \tabularnewline
23 & 0.026306 & 0.2263 & 0.410798 \tabularnewline
24 & 0.021569 & 0.1855 & 0.426656 \tabularnewline
25 & 0.038603 & 0.3321 & 0.370387 \tabularnewline
26 & 0.026537 & 0.2283 & 0.41003 \tabularnewline
27 & -0.014957 & -0.1287 & 0.448985 \tabularnewline
28 & -0.086996 & -0.7484 & 0.228305 \tabularnewline
29 & -0.092525 & -0.7959 & 0.214309 \tabularnewline
30 & 0.031483 & 0.2708 & 0.39364 \tabularnewline
31 & 0.0532 & 0.4576 & 0.324276 \tabularnewline
32 & -0.017375 & -0.1495 & 0.440796 \tabularnewline
33 & -0.009555 & -0.0822 & 0.467357 \tabularnewline
34 & 0.087001 & 0.7484 & 0.228291 \tabularnewline
35 & -0.121108 & -1.0418 & 0.150446 \tabularnewline
36 & 0.115421 & 0.9929 & 0.162 \tabularnewline
37 & 0.060453 & 0.52 & 0.302294 \tabularnewline
38 & -0.015003 & -0.1291 & 0.44883 \tabularnewline
39 & 0.017015 & 0.1464 & 0.442014 \tabularnewline
40 & 0.105809 & 0.9102 & 0.182834 \tabularnewline
41 & -0.282763 & -2.4324 & 0.008708 \tabularnewline
42 & 0.064295 & 0.5531 & 0.290935 \tabularnewline
43 & -0.036342 & -0.3126 & 0.377722 \tabularnewline
44 & -0.045585 & -0.3921 & 0.348043 \tabularnewline
45 & -0.041405 & -0.3562 & 0.361359 \tabularnewline
46 & -0.012823 & -0.1103 & 0.456232 \tabularnewline
47 & -0.10806 & -0.9296 & 0.177809 \tabularnewline
48 & -0.093568 & -0.8049 & 0.211729 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=36549&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]0.900855[/C][C]7.7494[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.20107[/C][C]-1.7297[/C][C]0.04393[/C][/ROW]
[ROW][C]3[/C][C]-0.101561[/C][C]-0.8737[/C][C]0.192565[/C][/ROW]
[ROW][C]4[/C][C]0.008336[/C][C]0.0717[/C][C]0.471514[/C][/ROW]
[ROW][C]5[/C][C]0.124357[/C][C]1.0698[/C][C]0.144103[/C][/ROW]
[ROW][C]6[/C][C]0.122327[/C][C]1.0523[/C][C]0.148045[/C][/ROW]
[ROW][C]7[/C][C]0.062757[/C][C]0.5399[/C][C]0.295459[/C][/ROW]
[ROW][C]8[/C][C]0.046721[/C][C]0.4019[/C][C]0.344455[/C][/ROW]
[ROW][C]9[/C][C]-0.00985[/C][C]-0.0847[/C][C]0.466351[/C][/ROW]
[ROW][C]10[/C][C]-0.041066[/C][C]-0.3533[/C][C]0.362447[/C][/ROW]
[ROW][C]11[/C][C]-0.018928[/C][C]-0.1628[/C][C]0.435551[/C][/ROW]
[ROW][C]12[/C][C]-0.029517[/C][C]-0.2539[/C][C]0.400131[/C][/ROW]
[ROW][C]13[/C][C]-0.059624[/C][C]-0.5129[/C][C]0.304773[/C][/ROW]
[ROW][C]14[/C][C]-0.026335[/C][C]-0.2265[/C][C]0.410701[/C][/ROW]
[ROW][C]15[/C][C]-0.004434[/C][C]-0.0381[/C][C]0.484839[/C][/ROW]
[ROW][C]16[/C][C]0.031419[/C][C]0.2703[/C][C]0.393851[/C][/ROW]
[ROW][C]17[/C][C]4.4e-05[/C][C]4e-04[/C][C]0.499849[/C][/ROW]
[ROW][C]18[/C][C]-0.068175[/C][C]-0.5865[/C][C]0.279674[/C][/ROW]
[ROW][C]19[/C][C]-0.030621[/C][C]-0.2634[/C][C]0.396482[/C][/ROW]
[ROW][C]20[/C][C]-0.036788[/C][C]-0.3165[/C][C]0.376272[/C][/ROW]
[ROW][C]21[/C][C]-0.076941[/C][C]-0.6619[/C][C]0.255054[/C][/ROW]
[ROW][C]22[/C][C]-0.013742[/C][C]-0.1182[/C][C]0.45311[/C][/ROW]
[ROW][C]23[/C][C]0.026306[/C][C]0.2263[/C][C]0.410798[/C][/ROW]
[ROW][C]24[/C][C]0.021569[/C][C]0.1855[/C][C]0.426656[/C][/ROW]
[ROW][C]25[/C][C]0.038603[/C][C]0.3321[/C][C]0.370387[/C][/ROW]
[ROW][C]26[/C][C]0.026537[/C][C]0.2283[/C][C]0.41003[/C][/ROW]
[ROW][C]27[/C][C]-0.014957[/C][C]-0.1287[/C][C]0.448985[/C][/ROW]
[ROW][C]28[/C][C]-0.086996[/C][C]-0.7484[/C][C]0.228305[/C][/ROW]
[ROW][C]29[/C][C]-0.092525[/C][C]-0.7959[/C][C]0.214309[/C][/ROW]
[ROW][C]30[/C][C]0.031483[/C][C]0.2708[/C][C]0.39364[/C][/ROW]
[ROW][C]31[/C][C]0.0532[/C][C]0.4576[/C][C]0.324276[/C][/ROW]
[ROW][C]32[/C][C]-0.017375[/C][C]-0.1495[/C][C]0.440796[/C][/ROW]
[ROW][C]33[/C][C]-0.009555[/C][C]-0.0822[/C][C]0.467357[/C][/ROW]
[ROW][C]34[/C][C]0.087001[/C][C]0.7484[/C][C]0.228291[/C][/ROW]
[ROW][C]35[/C][C]-0.121108[/C][C]-1.0418[/C][C]0.150446[/C][/ROW]
[ROW][C]36[/C][C]0.115421[/C][C]0.9929[/C][C]0.162[/C][/ROW]
[ROW][C]37[/C][C]0.060453[/C][C]0.52[/C][C]0.302294[/C][/ROW]
[ROW][C]38[/C][C]-0.015003[/C][C]-0.1291[/C][C]0.44883[/C][/ROW]
[ROW][C]39[/C][C]0.017015[/C][C]0.1464[/C][C]0.442014[/C][/ROW]
[ROW][C]40[/C][C]0.105809[/C][C]0.9102[/C][C]0.182834[/C][/ROW]
[ROW][C]41[/C][C]-0.282763[/C][C]-2.4324[/C][C]0.008708[/C][/ROW]
[ROW][C]42[/C][C]0.064295[/C][C]0.5531[/C][C]0.290935[/C][/ROW]
[ROW][C]43[/C][C]-0.036342[/C][C]-0.3126[/C][C]0.377722[/C][/ROW]
[ROW][C]44[/C][C]-0.045585[/C][C]-0.3921[/C][C]0.348043[/C][/ROW]
[ROW][C]45[/C][C]-0.041405[/C][C]-0.3562[/C][C]0.361359[/C][/ROW]
[ROW][C]46[/C][C]-0.012823[/C][C]-0.1103[/C][C]0.456232[/C][/ROW]
[ROW][C]47[/C][C]-0.10806[/C][C]-0.9296[/C][C]0.177809[/C][/ROW]
[ROW][C]48[/C][C]-0.093568[/C][C]-0.8049[/C][C]0.211729[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=36549&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=36549&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
10.9008557.74940
2-0.20107-1.72970.04393
3-0.101561-0.87370.192565
40.0083360.07170.471514
50.1243571.06980.144103
60.1223271.05230.148045
70.0627570.53990.295459
80.0467210.40190.344455
9-0.00985-0.08470.466351
10-0.041066-0.35330.362447
11-0.018928-0.16280.435551
12-0.029517-0.25390.400131
13-0.059624-0.51290.304773
14-0.026335-0.22650.410701
15-0.004434-0.03810.484839
160.0314190.27030.393851
174.4e-054e-040.499849
18-0.068175-0.58650.279674
19-0.030621-0.26340.396482
20-0.036788-0.31650.376272
21-0.076941-0.66190.255054
22-0.013742-0.11820.45311
230.0263060.22630.410798
240.0215690.18550.426656
250.0386030.33210.370387
260.0265370.22830.41003
27-0.014957-0.12870.448985
28-0.086996-0.74840.228305
29-0.092525-0.79590.214309
300.0314830.27080.39364
310.05320.45760.324276
32-0.017375-0.14950.440796
33-0.009555-0.08220.467357
340.0870010.74840.228291
35-0.121108-1.04180.150446
360.1154210.99290.162
370.0604530.520.302294
38-0.015003-0.12910.44883
390.0170150.14640.442014
400.1058090.91020.182834
41-0.282763-2.43240.008708
420.0642950.55310.290935
43-0.036342-0.31260.377722
44-0.045585-0.39210.348043
45-0.041405-0.35620.361359
46-0.012823-0.11030.456232
47-0.10806-0.92960.177809
48-0.093568-0.80490.211729



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')