Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationSun, 16 Dec 2007 08:29:11 -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/2007/Dec/16/t1197817963r3ltitem0tqhkvz.htm/, Retrieved Thu, 02 May 2024 11:16:56 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=4207, Retrieved Thu, 02 May 2024 11:16:56 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsd=0 D=0 industriele productie
Estimated Impact201
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Autocorrelation F...] [2007-12-16 15:29:11] [0eafefa7b02d47065fceb6c46f54fbf9] [Current]
Feedback Forum

Post a new message
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 compuational 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 compuational 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=4207&T=0

[TABLE]
[ROW][C]Summary of compuational 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=4207&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4207&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 compuational 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
018.60230
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
22-0.037744-0.32470.626831
23-0.073367-0.63110.735049
24-0.094814-0.81560.791334
25-0.095265-0.81950.792434
26-0.079404-0.68310.751649
27-0.061367-0.52790.700426
28-0.060094-0.51690.696632
29-0.083676-0.71980.763044
30-0.113643-0.97760.83427
31-0.138905-1.19490.88203
32-0.160739-1.38270.914546
33-0.171052-1.47140.927295
34-0.153625-1.32150.904802
35-0.145908-1.25510.893312
36-0.114969-0.9890.837056
37-0.075841-0.65240.741921
38-0.047366-0.40750.657577
39-0.02532-0.21780.585914
400.0006510.00560.497773
41-0.030851-0.26540.604275
42-0.061313-0.52740.700264
43-0.093879-0.80760.789038
44-0.122777-1.05620.852836
45-0.139793-1.20250.883507
46-0.144859-1.24610.891675
47-0.153188-1.31780.904177

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 8.6023 & 0 \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 & 0.626831 \tabularnewline
23 & -0.073367 & -0.6311 & 0.735049 \tabularnewline
24 & -0.094814 & -0.8156 & 0.791334 \tabularnewline
25 & -0.095265 & -0.8195 & 0.792434 \tabularnewline
26 & -0.079404 & -0.6831 & 0.751649 \tabularnewline
27 & -0.061367 & -0.5279 & 0.700426 \tabularnewline
28 & -0.060094 & -0.5169 & 0.696632 \tabularnewline
29 & -0.083676 & -0.7198 & 0.763044 \tabularnewline
30 & -0.113643 & -0.9776 & 0.83427 \tabularnewline
31 & -0.138905 & -1.1949 & 0.88203 \tabularnewline
32 & -0.160739 & -1.3827 & 0.914546 \tabularnewline
33 & -0.171052 & -1.4714 & 0.927295 \tabularnewline
34 & -0.153625 & -1.3215 & 0.904802 \tabularnewline
35 & -0.145908 & -1.2551 & 0.893312 \tabularnewline
36 & -0.114969 & -0.989 & 0.837056 \tabularnewline
37 & -0.075841 & -0.6524 & 0.741921 \tabularnewline
38 & -0.047366 & -0.4075 & 0.657577 \tabularnewline
39 & -0.02532 & -0.2178 & 0.585914 \tabularnewline
40 & 0.000651 & 0.0056 & 0.497773 \tabularnewline
41 & -0.030851 & -0.2654 & 0.604275 \tabularnewline
42 & -0.061313 & -0.5274 & 0.700264 \tabularnewline
43 & -0.093879 & -0.8076 & 0.789038 \tabularnewline
44 & -0.122777 & -1.0562 & 0.852836 \tabularnewline
45 & -0.139793 & -1.2025 & 0.883507 \tabularnewline
46 & -0.144859 & -1.2461 & 0.891675 \tabularnewline
47 & -0.153188 & -1.3178 & 0.904177 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4207&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]0[/C][C]1[/C][C]8.6023[/C][C]0[/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]0.626831[/C][/ROW]
[ROW][C]23[/C][C]-0.073367[/C][C]-0.6311[/C][C]0.735049[/C][/ROW]
[ROW][C]24[/C][C]-0.094814[/C][C]-0.8156[/C][C]0.791334[/C][/ROW]
[ROW][C]25[/C][C]-0.095265[/C][C]-0.8195[/C][C]0.792434[/C][/ROW]
[ROW][C]26[/C][C]-0.079404[/C][C]-0.6831[/C][C]0.751649[/C][/ROW]
[ROW][C]27[/C][C]-0.061367[/C][C]-0.5279[/C][C]0.700426[/C][/ROW]
[ROW][C]28[/C][C]-0.060094[/C][C]-0.5169[/C][C]0.696632[/C][/ROW]
[ROW][C]29[/C][C]-0.083676[/C][C]-0.7198[/C][C]0.763044[/C][/ROW]
[ROW][C]30[/C][C]-0.113643[/C][C]-0.9776[/C][C]0.83427[/C][/ROW]
[ROW][C]31[/C][C]-0.138905[/C][C]-1.1949[/C][C]0.88203[/C][/ROW]
[ROW][C]32[/C][C]-0.160739[/C][C]-1.3827[/C][C]0.914546[/C][/ROW]
[ROW][C]33[/C][C]-0.171052[/C][C]-1.4714[/C][C]0.927295[/C][/ROW]
[ROW][C]34[/C][C]-0.153625[/C][C]-1.3215[/C][C]0.904802[/C][/ROW]
[ROW][C]35[/C][C]-0.145908[/C][C]-1.2551[/C][C]0.893312[/C][/ROW]
[ROW][C]36[/C][C]-0.114969[/C][C]-0.989[/C][C]0.837056[/C][/ROW]
[ROW][C]37[/C][C]-0.075841[/C][C]-0.6524[/C][C]0.741921[/C][/ROW]
[ROW][C]38[/C][C]-0.047366[/C][C]-0.4075[/C][C]0.657577[/C][/ROW]
[ROW][C]39[/C][C]-0.02532[/C][C]-0.2178[/C][C]0.585914[/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]0.604275[/C][/ROW]
[ROW][C]42[/C][C]-0.061313[/C][C]-0.5274[/C][C]0.700264[/C][/ROW]
[ROW][C]43[/C][C]-0.093879[/C][C]-0.8076[/C][C]0.789038[/C][/ROW]
[ROW][C]44[/C][C]-0.122777[/C][C]-1.0562[/C][C]0.852836[/C][/ROW]
[ROW][C]45[/C][C]-0.139793[/C][C]-1.2025[/C][C]0.883507[/C][/ROW]
[ROW][C]46[/C][C]-0.144859[/C][C]-1.2461[/C][C]0.891675[/C][/ROW]
[ROW][C]47[/C][C]-0.153188[/C][C]-1.3178[/C][C]0.904177[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4207&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4207&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
018.60230
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
22-0.037744-0.32470.626831
23-0.073367-0.63110.735049
24-0.094814-0.81560.791334
25-0.095265-0.81950.792434
26-0.079404-0.68310.751649
27-0.061367-0.52790.700426
28-0.060094-0.51690.696632
29-0.083676-0.71980.763044
30-0.113643-0.97760.83427
31-0.138905-1.19490.88203
32-0.160739-1.38270.914546
33-0.171052-1.47140.927295
34-0.153625-1.32150.904802
35-0.145908-1.25510.893312
36-0.114969-0.9890.837056
37-0.075841-0.65240.741921
38-0.047366-0.40750.657577
39-0.02532-0.21780.585914
400.0006510.00560.497773
41-0.030851-0.26540.604275
42-0.061313-0.52740.700264
43-0.093879-0.80760.789038
44-0.122777-1.05620.852836
45-0.139793-1.20250.883507
46-0.144859-1.24610.891675
47-0.153188-1.31780.904177







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.9008557.74940
1-0.20107-1.72970.95607
2-0.101561-0.87370.807435
30.0083360.07170.471514
40.1243571.06980.144103
50.1223271.05230.148045
60.0627570.53990.295459
70.0467210.40190.344455
8-0.00985-0.08470.533649
9-0.041066-0.35330.637553
10-0.018928-0.16280.564449
11-0.029517-0.25390.599869
12-0.059624-0.51290.695227
13-0.026335-0.22650.589299
14-0.004434-0.03810.515161
150.0314190.27030.393851
164.4e-054e-040.499849
17-0.068175-0.58650.720326
18-0.030621-0.26340.603518
19-0.036788-0.31650.623728
20-0.076941-0.66190.744946
21-0.013742-0.11820.54689
220.0263060.22630.410798
230.0215690.18550.426656
240.0386030.33210.370387
250.0265370.22830.41003
26-0.014957-0.12870.551015
27-0.086996-0.74840.771695
28-0.092525-0.79590.785691
290.0314830.27080.39364
300.05320.45760.324276
31-0.017375-0.14950.559204
32-0.009555-0.08220.532643
330.0870010.74840.228291
34-0.121108-1.04180.849554
350.1154210.99290.162
360.0604530.520.302294
37-0.015003-0.12910.55117
380.0170150.14640.442014
390.1058090.91020.182834
40-0.282763-2.43240.991292
410.0642950.55310.290935
42-0.036342-0.31260.622278
43-0.045585-0.39210.651957
44-0.041405-0.35620.638641
45-0.012823-0.11030.543768
46-0.10806-0.92960.822191
47-0.093568-0.80490.788271

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.900855 & 7.7494 & 0 \tabularnewline
1 & -0.20107 & -1.7297 & 0.95607 \tabularnewline
2 & -0.101561 & -0.8737 & 0.807435 \tabularnewline
3 & 0.008336 & 0.0717 & 0.471514 \tabularnewline
4 & 0.124357 & 1.0698 & 0.144103 \tabularnewline
5 & 0.122327 & 1.0523 & 0.148045 \tabularnewline
6 & 0.062757 & 0.5399 & 0.295459 \tabularnewline
7 & 0.046721 & 0.4019 & 0.344455 \tabularnewline
8 & -0.00985 & -0.0847 & 0.533649 \tabularnewline
9 & -0.041066 & -0.3533 & 0.637553 \tabularnewline
10 & -0.018928 & -0.1628 & 0.564449 \tabularnewline
11 & -0.029517 & -0.2539 & 0.599869 \tabularnewline
12 & -0.059624 & -0.5129 & 0.695227 \tabularnewline
13 & -0.026335 & -0.2265 & 0.589299 \tabularnewline
14 & -0.004434 & -0.0381 & 0.515161 \tabularnewline
15 & 0.031419 & 0.2703 & 0.393851 \tabularnewline
16 & 4.4e-05 & 4e-04 & 0.499849 \tabularnewline
17 & -0.068175 & -0.5865 & 0.720326 \tabularnewline
18 & -0.030621 & -0.2634 & 0.603518 \tabularnewline
19 & -0.036788 & -0.3165 & 0.623728 \tabularnewline
20 & -0.076941 & -0.6619 & 0.744946 \tabularnewline
21 & -0.013742 & -0.1182 & 0.54689 \tabularnewline
22 & 0.026306 & 0.2263 & 0.410798 \tabularnewline
23 & 0.021569 & 0.1855 & 0.426656 \tabularnewline
24 & 0.038603 & 0.3321 & 0.370387 \tabularnewline
25 & 0.026537 & 0.2283 & 0.41003 \tabularnewline
26 & -0.014957 & -0.1287 & 0.551015 \tabularnewline
27 & -0.086996 & -0.7484 & 0.771695 \tabularnewline
28 & -0.092525 & -0.7959 & 0.785691 \tabularnewline
29 & 0.031483 & 0.2708 & 0.39364 \tabularnewline
30 & 0.0532 & 0.4576 & 0.324276 \tabularnewline
31 & -0.017375 & -0.1495 & 0.559204 \tabularnewline
32 & -0.009555 & -0.0822 & 0.532643 \tabularnewline
33 & 0.087001 & 0.7484 & 0.228291 \tabularnewline
34 & -0.121108 & -1.0418 & 0.849554 \tabularnewline
35 & 0.115421 & 0.9929 & 0.162 \tabularnewline
36 & 0.060453 & 0.52 & 0.302294 \tabularnewline
37 & -0.015003 & -0.1291 & 0.55117 \tabularnewline
38 & 0.017015 & 0.1464 & 0.442014 \tabularnewline
39 & 0.105809 & 0.9102 & 0.182834 \tabularnewline
40 & -0.282763 & -2.4324 & 0.991292 \tabularnewline
41 & 0.064295 & 0.5531 & 0.290935 \tabularnewline
42 & -0.036342 & -0.3126 & 0.622278 \tabularnewline
43 & -0.045585 & -0.3921 & 0.651957 \tabularnewline
44 & -0.041405 & -0.3562 & 0.638641 \tabularnewline
45 & -0.012823 & -0.1103 & 0.543768 \tabularnewline
46 & -0.10806 & -0.9296 & 0.822191 \tabularnewline
47 & -0.093568 & -0.8049 & 0.788271 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4207&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]0[/C][C]0.900855[/C][C]7.7494[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]-0.20107[/C][C]-1.7297[/C][C]0.95607[/C][/ROW]
[ROW][C]2[/C][C]-0.101561[/C][C]-0.8737[/C][C]0.807435[/C][/ROW]
[ROW][C]3[/C][C]0.008336[/C][C]0.0717[/C][C]0.471514[/C][/ROW]
[ROW][C]4[/C][C]0.124357[/C][C]1.0698[/C][C]0.144103[/C][/ROW]
[ROW][C]5[/C][C]0.122327[/C][C]1.0523[/C][C]0.148045[/C][/ROW]
[ROW][C]6[/C][C]0.062757[/C][C]0.5399[/C][C]0.295459[/C][/ROW]
[ROW][C]7[/C][C]0.046721[/C][C]0.4019[/C][C]0.344455[/C][/ROW]
[ROW][C]8[/C][C]-0.00985[/C][C]-0.0847[/C][C]0.533649[/C][/ROW]
[ROW][C]9[/C][C]-0.041066[/C][C]-0.3533[/C][C]0.637553[/C][/ROW]
[ROW][C]10[/C][C]-0.018928[/C][C]-0.1628[/C][C]0.564449[/C][/ROW]
[ROW][C]11[/C][C]-0.029517[/C][C]-0.2539[/C][C]0.599869[/C][/ROW]
[ROW][C]12[/C][C]-0.059624[/C][C]-0.5129[/C][C]0.695227[/C][/ROW]
[ROW][C]13[/C][C]-0.026335[/C][C]-0.2265[/C][C]0.589299[/C][/ROW]
[ROW][C]14[/C][C]-0.004434[/C][C]-0.0381[/C][C]0.515161[/C][/ROW]
[ROW][C]15[/C][C]0.031419[/C][C]0.2703[/C][C]0.393851[/C][/ROW]
[ROW][C]16[/C][C]4.4e-05[/C][C]4e-04[/C][C]0.499849[/C][/ROW]
[ROW][C]17[/C][C]-0.068175[/C][C]-0.5865[/C][C]0.720326[/C][/ROW]
[ROW][C]18[/C][C]-0.030621[/C][C]-0.2634[/C][C]0.603518[/C][/ROW]
[ROW][C]19[/C][C]-0.036788[/C][C]-0.3165[/C][C]0.623728[/C][/ROW]
[ROW][C]20[/C][C]-0.076941[/C][C]-0.6619[/C][C]0.744946[/C][/ROW]
[ROW][C]21[/C][C]-0.013742[/C][C]-0.1182[/C][C]0.54689[/C][/ROW]
[ROW][C]22[/C][C]0.026306[/C][C]0.2263[/C][C]0.410798[/C][/ROW]
[ROW][C]23[/C][C]0.021569[/C][C]0.1855[/C][C]0.426656[/C][/ROW]
[ROW][C]24[/C][C]0.038603[/C][C]0.3321[/C][C]0.370387[/C][/ROW]
[ROW][C]25[/C][C]0.026537[/C][C]0.2283[/C][C]0.41003[/C][/ROW]
[ROW][C]26[/C][C]-0.014957[/C][C]-0.1287[/C][C]0.551015[/C][/ROW]
[ROW][C]27[/C][C]-0.086996[/C][C]-0.7484[/C][C]0.771695[/C][/ROW]
[ROW][C]28[/C][C]-0.092525[/C][C]-0.7959[/C][C]0.785691[/C][/ROW]
[ROW][C]29[/C][C]0.031483[/C][C]0.2708[/C][C]0.39364[/C][/ROW]
[ROW][C]30[/C][C]0.0532[/C][C]0.4576[/C][C]0.324276[/C][/ROW]
[ROW][C]31[/C][C]-0.017375[/C][C]-0.1495[/C][C]0.559204[/C][/ROW]
[ROW][C]32[/C][C]-0.009555[/C][C]-0.0822[/C][C]0.532643[/C][/ROW]
[ROW][C]33[/C][C]0.087001[/C][C]0.7484[/C][C]0.228291[/C][/ROW]
[ROW][C]34[/C][C]-0.121108[/C][C]-1.0418[/C][C]0.849554[/C][/ROW]
[ROW][C]35[/C][C]0.115421[/C][C]0.9929[/C][C]0.162[/C][/ROW]
[ROW][C]36[/C][C]0.060453[/C][C]0.52[/C][C]0.302294[/C][/ROW]
[ROW][C]37[/C][C]-0.015003[/C][C]-0.1291[/C][C]0.55117[/C][/ROW]
[ROW][C]38[/C][C]0.017015[/C][C]0.1464[/C][C]0.442014[/C][/ROW]
[ROW][C]39[/C][C]0.105809[/C][C]0.9102[/C][C]0.182834[/C][/ROW]
[ROW][C]40[/C][C]-0.282763[/C][C]-2.4324[/C][C]0.991292[/C][/ROW]
[ROW][C]41[/C][C]0.064295[/C][C]0.5531[/C][C]0.290935[/C][/ROW]
[ROW][C]42[/C][C]-0.036342[/C][C]-0.3126[/C][C]0.622278[/C][/ROW]
[ROW][C]43[/C][C]-0.045585[/C][C]-0.3921[/C][C]0.651957[/C][/ROW]
[ROW][C]44[/C][C]-0.041405[/C][C]-0.3562[/C][C]0.638641[/C][/ROW]
[ROW][C]45[/C][C]-0.012823[/C][C]-0.1103[/C][C]0.543768[/C][/ROW]
[ROW][C]46[/C][C]-0.10806[/C][C]-0.9296[/C][C]0.822191[/C][/ROW]
[ROW][C]47[/C][C]-0.093568[/C][C]-0.8049[/C][C]0.788271[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4207&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4207&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
00.9008557.74940
1-0.20107-1.72970.95607
2-0.101561-0.87370.807435
30.0083360.07170.471514
40.1243571.06980.144103
50.1223271.05230.148045
60.0627570.53990.295459
70.0467210.40190.344455
8-0.00985-0.08470.533649
9-0.041066-0.35330.637553
10-0.018928-0.16280.564449
11-0.029517-0.25390.599869
12-0.059624-0.51290.695227
13-0.026335-0.22650.589299
14-0.004434-0.03810.515161
150.0314190.27030.393851
164.4e-054e-040.499849
17-0.068175-0.58650.720326
18-0.030621-0.26340.603518
19-0.036788-0.31650.623728
20-0.076941-0.66190.744946
21-0.013742-0.11820.54689
220.0263060.22630.410798
230.0215690.18550.426656
240.0386030.33210.370387
250.0265370.22830.41003
26-0.014957-0.12870.551015
27-0.086996-0.74840.771695
28-0.092525-0.79590.785691
290.0314830.27080.39364
300.05320.45760.324276
31-0.017375-0.14950.559204
32-0.009555-0.08220.532643
330.0870010.74840.228291
34-0.121108-1.04180.849554
350.1154210.99290.162
360.0604530.520.302294
37-0.015003-0.12910.55117
380.0170150.14640.442014
390.1058090.91020.182834
40-0.282763-2.43240.991292
410.0642950.55310.290935
42-0.036342-0.31260.622278
43-0.045585-0.39210.651957
44-0.041405-0.35620.638641
45-0.012823-0.11030.543768
46-0.10806-0.92960.822191
47-0.093568-0.80490.788271



Parameters (Session):
par1 = 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 1:par1) {
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(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-1,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(mytstat,lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')