Free Statistics

of Irreproducible Research!

Author's title

Author*The author of this computation has been verified*
R Software Module--
Title produced by softwareRecursive Partitioning (Regression Trees)
Date of computationWed, 11 Dec 2013 12:22:52 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Dec/11/t1386782778p8v36tg2j3y187v.htm/, Retrieved Thu, 28 Mar 2024 08:44:02 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=232122, Retrieved Thu, 28 Mar 2024 08:44:02 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact50
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Recursive Partitioning (Regression Trees)] [] [2010-12-05 19:35:21] [b98453cac15ba1066b407e146608df68]
- R PD  [Recursive Partitioning (Regression Trees)] [WS10] [2013-12-10 13:48:39] [05c505647875c49566670852d268183d]
-   P     [Recursive Partitioning (Regression Trees)] [Recursive partiti...] [2013-12-11 17:17:38] [947cbe24e101527daf12b807d6a22f40]
- RM          [Recursive Partitioning (Regression Trees)] [Recursive partiti...] [2013-12-11 17:22:52] [46d3d8bfbaf7691f7408e38ca0da8f78] [Current]
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Dataseries X:
1 119.992 157.302 74.997 0.00784 0.00007 0.0037 0.00554
1 122.4 148.65 113.819 0.00968 0.00008 0.00465 0.00696
1 116.682 131.111 111.555 0.0105 0.00009 0.00544 0.00781
1 116.676 137.871 111.366 0.00997 0.00009 0.00502 0.00698
1 116.014 141.781 110.655 0.01284 0.00011 0.00655 0.00908
1 120.552 131.162 113.787 0.00968 0.00008 0.00463 0.0075
1 120.267 137.244 114.82 0.00333 0.00003 0.00155 0.00202
1 107.332 113.84 104.315 0.0029 0.00003 0.00144 0.00182
1 95.73 132.068 91.754 0.00551 0.00006 0.00293 0.00332
1 95.056 120.103 91.226 0.00532 0.00006 0.00268 0.00332
1 88.333 112.24 84.072 0.00505 0.00006 0.00254 0.0033
1 91.904 115.871 86.292 0.0054 0.00006 0.00281 0.00336
1 136.926 159.866 131.276 0.00293 0.00002 0.00118 0.00153
1 139.173 179.139 76.556 0.0039 0.00003 0.00165 0.00208
1 152.845 163.305 75.836 0.00294 0.00002 0.00121 0.00149
1 142.167 217.455 83.159 0.00369 0.00003 0.00157 0.00203
1 144.188 349.259 82.764 0.00544 0.00004 0.00211 0.00292
1 168.778 232.181 75.603 0.00718 0.00004 0.00284 0.00387
1 153.046 175.829 68.623 0.00742 0.00005 0.00364 0.00432
1 156.405 189.398 142.822 0.00768 0.00005 0.00372 0.00399
1 153.848 165.738 65.782 0.0084 0.00005 0.00428 0.0045
1 153.88 172.86 78.128 0.0048 0.00003 0.00232 0.00267
1 167.93 193.221 79.068 0.00442 0.00003 0.0022 0.00247
1 173.917 192.735 86.18 0.00476 0.00003 0.00221 0.00258
1 163.656 200.841 76.779 0.00742 0.00005 0.0038 0.0039
1 104.4 206.002 77.968 0.00633 0.00006 0.00316 0.00375
1 171.041 208.313 75.501 0.00455 0.00003 0.0025 0.00234
1 146.845 208.701 81.737 0.00496 0.00003 0.0025 0.00275
1 155.358 227.383 80.055 0.0031 0.00002 0.00159 0.00176
1 162.568 198.346 77.63 0.00502 0.00003 0.0028 0.00253
0 197.076 206.896 192.055 0.00289 0.00001 0.00166 0.00168
0 199.228 209.512 192.091 0.00241 0.00001 0.00134 0.00138
0 198.383 215.203 193.104 0.00212 0.00001 0.00113 0.00135
0 202.266 211.604 197.079 0.0018 0.000009 0.00093 0.00107
0 203.184 211.526 196.16 0.00178 0.000009 0.00094 0.00106
0 201.464 210.565 195.708 0.00198 0.00001 0.00105 0.00115
1 177.876 192.921 168.013 0.00411 0.00002 0.00233 0.00241
1 176.17 185.604 163.564 0.00369 0.00002 0.00205 0.00218
1 180.198 201.249 175.456 0.00284 0.00002 0.00153 0.00166
1 187.733 202.324 173.015 0.00316 0.00002 0.00168 0.00182
1 186.163 197.724 177.584 0.00298 0.00002 0.00165 0.00175
1 184.055 196.537 166.977 0.00258 0.00001 0.00134 0.00147
0 237.226 247.326 225.227 0.00298 0.00001 0.00169 0.00182
0 241.404 248.834 232.483 0.00281 0.00001 0.00157 0.00173
0 243.439 250.912 232.435 0.0021 0.000009 0.00109 0.00137
0 242.852 255.034 227.911 0.00225 0.000009 0.00117 0.00139
0 245.51 262.09 231.848 0.00235 0.00001 0.00127 0.00148
0 252.455 261.487 182.786 0.00185 0.000007 0.00092 0.00113
0 122.188 128.611 115.765 0.00524 0.00004 0.00169 0.00203
0 122.964 130.049 114.676 0.00428 0.00003 0.00124 0.00155
0 124.445 135.069 117.495 0.00431 0.00003 0.00141 0.00167
0 126.344 134.231 112.773 0.00448 0.00004 0.00131 0.00169
0 128.001 138.052 122.08 0.00436 0.00003 0.00137 0.00166
0 129.336 139.867 118.604 0.0049 0.00004 0.00165 0.00183
1 108.807 134.656 102.874 0.00761 0.00007 0.00349 0.00486
1 109.86 126.358 104.437 0.00874 0.00008 0.00398 0.00539
1 110.417 131.067 103.37 0.00784 0.00007 0.00352 0.00514
1 117.274 129.916 110.402 0.00752 0.00006 0.00299 0.00469
1 116.879 131.897 108.153 0.00788 0.00007 0.00334 0.00493
1 114.847 271.314 104.68 0.00867 0.00008 0.00373 0.0052
0 209.144 237.494 109.379 0.00282 0.00001 0.00147 0.00152
0 223.365 238.987 98.664 0.00264 0.00001 0.00154 0.00151
0 222.236 231.345 205.495 0.00266 0.00001 0.00152 0.00144
0 228.832 234.619 223.634 0.00296 0.00001 0.00175 0.00155
0 229.401 252.221 221.156 0.00205 0.000009 0.00114 0.00113
0 228.969 239.541 113.201 0.00238 0.00001 0.00136 0.0014
1 140.341 159.774 67.021 0.00817 0.00006 0.0043 0.0044
1 136.969 166.607 66.004 0.00923 0.00007 0.00507 0.00463
1 143.533 162.215 65.809 0.01101 0.00008 0.00647 0.00467
1 148.09 162.824 67.343 0.00762 0.00005 0.00467 0.00354
1 142.729 162.408 65.476 0.00831 0.00006 0.00469 0.00419
1 136.358 176.595 65.75 0.00971 0.00007 0.00534 0.00478
1 120.08 139.71 111.208 0.00405 0.00003 0.0018 0.0022
1 112.014 588.518 107.024 0.00533 0.00005 0.00268 0.00329
1 110.793 128.101 107.316 0.00494 0.00004 0.0026 0.00283
1 110.707 122.611 105.007 0.00516 0.00005 0.00277 0.00289
1 112.876 148.826 106.981 0.005 0.00004 0.0027 0.00289
1 110.568 125.394 106.821 0.00462 0.00004 0.00226 0.0028
1 95.385 102.145 90.264 0.00608 0.00006 0.00331 0.00332
1 100.77 115.697 85.545 0.01038 0.0001 0.00622 0.00576
1 96.106 108.664 84.51 0.00694 0.00007 0.00389 0.00415
1 95.605 107.715 87.549 0.00702 0.00007 0.00428 0.00371
1 100.96 110.019 95.628 0.00606 0.00006 0.00351 0.00348
1 98.804 102.305 87.804 0.00432 0.00004 0.00247 0.00258
1 176.858 205.56 75.344 0.00747 0.00004 0.00418 0.0042
1 180.978 200.125 155.495 0.00406 0.00002 0.0022 0.00244
1 178.222 202.45 141.047 0.00321 0.00002 0.00163 0.00194
1 176.281 227.381 125.61 0.0052 0.00003 0.00287 0.00312
1 173.898 211.35 74.677 0.00448 0.00003 0.00237 0.00254
1 179.711 225.93 144.878 0.00709 0.00004 0.00391 0.00419
1 166.605 206.008 78.032 0.00742 0.00004 0.00387 0.00453
1 151.955 163.335 147.226 0.00419 0.00003 0.00224 0.00227
1 148.272 164.989 142.299 0.00459 0.00003 0.0025 0.00256
1 152.125 161.469 76.596 0.00382 0.00003 0.00191 0.00226
1 157.821 172.975 68.401 0.00358 0.00002 0.00196 0.00196
1 157.447 163.267 149.605 0.00369 0.00002 0.00201 0.00197
1 159.116 168.913 144.811 0.00342 0.00002 0.00178 0.00184
1 125.036 143.946 116.187 0.0128 0.0001 0.00743 0.00623
1 125.791 140.557 96.206 0.01378 0.00011 0.00826 0.00655
1 126.512 141.756 99.77 0.01936 0.00015 0.01159 0.0099
1 125.641 141.068 116.346 0.03316 0.00026 0.02144 0.01522
1 128.451 150.449 75.632 0.01551 0.00012 0.00905 0.00909
1 139.224 586.567 66.157 0.03011 0.00022 0.01854 0.01628
1 150.258 154.609 75.349 0.00248 0.00002 0.00105 0.00136
1 154.003 160.267 128.621 0.00183 0.00001 0.00076 0.001
1 149.689 160.368 133.608 0.00257 0.00002 0.00116 0.00134
1 155.078 163.736 144.148 0.00168 0.00001 0.00068 0.00092
1 151.884 157.765 133.751 0.00258 0.00002 0.00115 0.00122
1 151.989 157.339 132.857 0.00174 0.00001 0.00075 0.00096
1 193.03 208.9 80.297 0.00766 0.00004 0.0045 0.00389
1 200.714 223.982 89.686 0.00621 0.00003 0.00371 0.00337
1 208.519 220.315 199.02 0.00609 0.00003 0.00368 0.00339
1 204.664 221.3 189.621 0.00841 0.00004 0.00502 0.00485
1 210.141 232.706 185.258 0.00534 0.00003 0.00321 0.0028
1 206.327 226.355 92.02 0.00495 0.00002 0.00302 0.00246
1 151.872 492.892 69.085 0.00856 0.00006 0.00404 0.00385
1 158.219 442.557 71.948 0.00476 0.00003 0.00214 0.00207
1 170.756 450.247 79.032 0.00555 0.00003 0.00244 0.00261
1 178.285 442.824 82.063 0.00462 0.00003 0.00157 0.00194
1 217.116 233.481 93.978 0.00404 0.00002 0.00127 0.00128
1 128.94 479.697 88.251 0.00581 0.00005 0.00241 0.00314
1 176.824 215.293 83.961 0.0046 0.00003 0.00209 0.00221
1 138.19 203.522 83.34 0.00704 0.00005 0.00406 0.00398
1 182.018 197.173 79.187 0.00842 0.00005 0.00506 0.00449
1 156.239 195.107 79.82 0.00694 0.00004 0.00403 0.00395
1 145.174 198.109 80.637 0.00733 0.00005 0.00414 0.00422
1 138.145 197.238 81.114 0.00544 0.00004 0.00294 0.00327
1 166.888 198.966 79.512 0.00638 0.00004 0.00368 0.00351
1 119.031 127.533 109.216 0.0044 0.00004 0.00214 0.00192
1 120.078 126.632 105.667 0.0027 0.00002 0.00116 0.00135
1 120.289 128.143 100.209 0.00492 0.00004 0.00269 0.00238
1 120.256 125.306 104.773 0.00407 0.00003 0.00224 0.00205
1 119.056 125.213 86.795 0.00346 0.00003 0.00169 0.0017
1 118.747 123.723 109.836 0.00331 0.00003 0.00168 0.00171
1 106.516 112.777 93.105 0.00589 0.00006 0.00291 0.00319
1 110.453 127.611 105.554 0.00494 0.00004 0.00244 0.00315
1 113.4 133.344 107.816 0.00451 0.00004 0.00219 0.00283
1 113.166 130.27 100.673 0.00502 0.00004 0.00257 0.00312
1 112.239 126.609 104.095 0.00472 0.00004 0.00238 0.0029
1 116.15 131.731 109.815 0.00381 0.00003 0.00181 0.00232
1 170.368 268.796 79.543 0.00571 0.00003 0.00232 0.00269
1 208.083 253.792 91.802 0.00757 0.00004 0.00428 0.00428
1 198.458 219.29 148.691 0.00376 0.00002 0.00182 0.00215
1 202.805 231.508 86.232 0.0037 0.00002 0.00189 0.00211
1 202.544 241.35 164.168 0.00254 0.00001 0.001 0.00133
1 223.361 263.872 87.638 0.00352 0.00002 0.00169 0.00188
1 169.774 191.759 151.451 0.01568 0.00009 0.00863 0.00946
1 183.52 216.814 161.34 0.01466 0.00008 0.00849 0.00819
1 188.62 216.302 165.982 0.01719 0.00009 0.00996 0.01027
1 202.632 565.74 177.258 0.01627 0.00008 0.00919 0.00963
1 186.695 211.961 149.442 0.01872 0.0001 0.01075 0.01154
1 192.818 224.429 168.793 0.03107 0.00016 0.018 0.01958
1 198.116 233.099 174.478 0.02714 0.00014 0.01568 0.01699
1 121.345 139.644 98.25 0.00684 0.00006 0.00388 0.00332
1 119.1 128.442 88.833 0.00692 0.00006 0.00393 0.003
1 117.87 127.349 95.654 0.00647 0.00005 0.00356 0.003
1 122.336 142.369 94.794 0.00727 0.00006 0.00415 0.00339
1 117.963 134.209 100.757 0.01813 0.00015 0.01117 0.00718
1 126.144 154.284 97.543 0.00975 0.00008 0.00593 0.00454
1 127.93 138.752 112.173 0.00605 0.00005 0.00321 0.00318
1 114.238 124.393 77.022 0.00581 0.00005 0.00299 0.00316
1 115.322 135.738 107.802 0.00619 0.00005 0.00352 0.00329
1 114.554 126.778 91.121 0.00651 0.00006 0.00366 0.0034
1 112.15 131.669 97.527 0.00519 0.00005 0.00291 0.00284
1 102.273 142.83 85.902 0.00907 0.00009 0.00493 0.00461
0 236.2 244.663 102.137 0.00277 0.00001 0.00154 0.00153
0 237.323 243.709 229.256 0.00303 0.00001 0.00173 0.00159
0 260.105 264.919 237.303 0.00339 0.00001 0.00205 0.00186
0 197.569 217.627 90.794 0.00803 0.00004 0.0049 0.00448
0 240.301 245.135 219.783 0.00517 0.00002 0.00316 0.00283
0 244.99 272.21 239.17 0.00451 0.00002 0.00279 0.00237
0 112.547 133.374 105.715 0.00355 0.00003 0.00166 0.0019
0 110.739 113.597 100.139 0.00356 0.00003 0.0017 0.002
0 113.715 116.443 96.913 0.00349 0.00003 0.00171 0.00203
0 117.004 144.466 99.923 0.00353 0.00003 0.00176 0.00218
0 115.38 123.109 108.634 0.00332 0.00003 0.0016 0.00199
0 116.388 129.038 108.97 0.00346 0.00003 0.00169 0.00213
1 151.737 190.204 129.859 0.00314 0.00002 0.00135 0.00162
1 148.79 158.359 138.99 0.00309 0.00002 0.00152 0.00186
1 148.143 155.982 135.041 0.00392 0.00003 0.00204 0.00231
1 150.44 163.441 144.736 0.00396 0.00003 0.00206 0.00233
1 148.462 161.078 141.998 0.00397 0.00003 0.00202 0.00235
1 149.818 163.417 144.786 0.00336 0.00002 0.00174 0.00198
0 117.226 123.925 106.656 0.00417 0.00004 0.00186 0.0027
0 116.848 217.552 99.503 0.00531 0.00005 0.0026 0.00346
0 116.286 177.291 96.983 0.00314 0.00003 0.00134 0.00192
0 116.556 592.03 86.228 0.00496 0.00004 0.00254 0.00263
0 116.342 581.289 94.246 0.00267 0.00002 0.00115 0.00148
0 114.563 119.167 86.647 0.00327 0.00003 0.00146 0.00184
0 201.774 262.707 78.228 0.00694 0.00003 0.00412 0.00396
0 174.188 230.978 94.261 0.00459 0.00003 0.00263 0.00259
0 209.516 253.017 89.488 0.00564 0.00003 0.00331 0.00292
0 174.688 240.005 74.287 0.0136 0.00008 0.00624 0.00564
0 198.764 396.961 74.904 0.0074 0.00004 0.0037 0.0039
0 214.289 260.277 77.973 0.00567 0.00003 0.00295 0.00317




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time15 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.wessa.net

\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 & 15 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232122&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]15 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=232122&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232122&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 time15 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.wessa.net







Goodness of Fit
Correlation0.6087
R-squared0.3705
RMSE0.3418

\begin{tabular}{lllllllll}
\hline
Goodness of Fit \tabularnewline
Correlation & 0.6087 \tabularnewline
R-squared & 0.3705 \tabularnewline
RMSE & 0.3418 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232122&T=1

[TABLE]
[ROW][C]Goodness of Fit[/C][/ROW]
[ROW][C]Correlation[/C][C]0.6087[/C][/ROW]
[ROW][C]R-squared[/C][C]0.3705[/C][/ROW]
[ROW][C]RMSE[/C][C]0.3418[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=232122&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232122&T=1

As an alternative you can also use a QR Code:  

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

Goodness of Fit
Correlation0.6087
R-squared0.3705
RMSE0.3418







Actuals, Predictions, and Residuals
#ActualsForecastsResiduals
110.870129870129870.12987012987013
210.870129870129870.12987012987013
310.870129870129870.12987012987013
410.870129870129870.12987012987013
510.870129870129870.12987012987013
610.870129870129870.12987012987013
710.870129870129870.12987012987013
810.870129870129870.12987012987013
910.870129870129870.12987012987013
1010.870129870129870.12987012987013
1110.870129870129870.12987012987013
1210.870129870129870.12987012987013
1310.870129870129870.12987012987013
1410.870129870129870.12987012987013
1510.870129870129870.12987012987013
1610.870129870129870.12987012987013
1710.870129870129870.12987012987013
1810.870129870129870.12987012987013
1910.870129870129870.12987012987013
2010.870129870129870.12987012987013
2110.870129870129870.12987012987013
2210.870129870129870.12987012987013
2310.870129870129870.12987012987013
2410.870129870129870.12987012987013
2510.870129870129870.12987012987013
2610.870129870129870.12987012987013
2710.870129870129870.12987012987013
2810.870129870129870.12987012987013
2910.870129870129870.12987012987013
3010.870129870129870.12987012987013
3100.0454545454545455-0.0454545454545455
3200.0454545454545455-0.0454545454545455
3300.0454545454545455-0.0454545454545455
3400.0454545454545455-0.0454545454545455
3500.0454545454545455-0.0454545454545455
3600.0454545454545455-0.0454545454545455
3710.870129870129870.12987012987013
3810.870129870129870.12987012987013
3910.870129870129870.12987012987013
4010.870129870129870.12987012987013
4110.870129870129870.12987012987013
4210.870129870129870.12987012987013
4300.0454545454545455-0.0454545454545455
4400.0454545454545455-0.0454545454545455
4500.0454545454545455-0.0454545454545455
4600.0454545454545455-0.0454545454545455
4700.0454545454545455-0.0454545454545455
4800.0454545454545455-0.0454545454545455
4900.87012987012987-0.87012987012987
5000.87012987012987-0.87012987012987
5100.87012987012987-0.87012987012987
5200.87012987012987-0.87012987012987
5300.87012987012987-0.87012987012987
5400.87012987012987-0.87012987012987
5510.870129870129870.12987012987013
5610.870129870129870.12987012987013
5710.870129870129870.12987012987013
5810.870129870129870.12987012987013
5910.870129870129870.12987012987013
6010.870129870129870.12987012987013
6100.0454545454545455-0.0454545454545455
6200.0454545454545455-0.0454545454545455
6300.0454545454545455-0.0454545454545455
6400.0454545454545455-0.0454545454545455
6500.0454545454545455-0.0454545454545455
6600.0454545454545455-0.0454545454545455
6710.870129870129870.12987012987013
6810.870129870129870.12987012987013
6910.870129870129870.12987012987013
7010.870129870129870.12987012987013
7110.870129870129870.12987012987013
7210.870129870129870.12987012987013
7310.870129870129870.12987012987013
7410.870129870129870.12987012987013
7510.870129870129870.12987012987013
7610.870129870129870.12987012987013
7710.870129870129870.12987012987013
7810.870129870129870.12987012987013
7910.870129870129870.12987012987013
8010.870129870129870.12987012987013
8110.870129870129870.12987012987013
8210.870129870129870.12987012987013
8310.870129870129870.12987012987013
8410.870129870129870.12987012987013
8510.870129870129870.12987012987013
8610.870129870129870.12987012987013
8710.870129870129870.12987012987013
8810.870129870129870.12987012987013
8910.870129870129870.12987012987013
9010.870129870129870.12987012987013
9110.870129870129870.12987012987013
9210.870129870129870.12987012987013
9310.870129870129870.12987012987013
9410.870129870129870.12987012987013
9510.870129870129870.12987012987013
9610.870129870129870.12987012987013
9710.870129870129870.12987012987013
9810.870129870129870.12987012987013
9910.870129870129870.12987012987013
10010.870129870129870.12987012987013
10110.870129870129870.12987012987013
10210.870129870129870.12987012987013
10310.870129870129870.12987012987013
10410.870129870129870.12987012987013
10510.870129870129870.12987012987013
10610.870129870129870.12987012987013
10710.870129870129870.12987012987013
10810.870129870129870.12987012987013
10910.870129870129870.12987012987013
11010.870129870129870.12987012987013
11110.6315789473684210.368421052631579
11210.6315789473684210.368421052631579
11310.6315789473684210.368421052631579
11410.6315789473684210.368421052631579
11510.6315789473684210.368421052631579
11610.870129870129870.12987012987013
11710.870129870129870.12987012987013
11810.870129870129870.12987012987013
11910.870129870129870.12987012987013
12010.6315789473684210.368421052631579
12110.870129870129870.12987012987013
12210.870129870129870.12987012987013
12310.870129870129870.12987012987013
12410.870129870129870.12987012987013
12510.870129870129870.12987012987013
12610.870129870129870.12987012987013
12710.870129870129870.12987012987013
12810.870129870129870.12987012987013
12910.870129870129870.12987012987013
13010.870129870129870.12987012987013
13110.870129870129870.12987012987013
13210.870129870129870.12987012987013
13310.870129870129870.12987012987013
13410.870129870129870.12987012987013
13510.870129870129870.12987012987013
13610.870129870129870.12987012987013
13710.870129870129870.12987012987013
13810.870129870129870.12987012987013
13910.870129870129870.12987012987013
14010.870129870129870.12987012987013
14110.870129870129870.12987012987013
14210.6315789473684210.368421052631579
14310.6315789473684210.368421052631579
14410.6315789473684210.368421052631579
14510.04545454545454550.954545454545455
14610.6315789473684210.368421052631579
14710.870129870129870.12987012987013
14810.870129870129870.12987012987013
14910.870129870129870.12987012987013
15010.6315789473684210.368421052631579
15110.870129870129870.12987012987013
15210.870129870129870.12987012987013
15310.6315789473684210.368421052631579
15410.870129870129870.12987012987013
15510.870129870129870.12987012987013
15610.870129870129870.12987012987013
15710.870129870129870.12987012987013
15810.870129870129870.12987012987013
15910.870129870129870.12987012987013
16010.870129870129870.12987012987013
16110.870129870129870.12987012987013
16210.870129870129870.12987012987013
16310.870129870129870.12987012987013
16410.870129870129870.12987012987013
16510.870129870129870.12987012987013
16600.0454545454545455-0.0454545454545455
16700.0454545454545455-0.0454545454545455
16800.0454545454545455-0.0454545454545455
16900.631578947368421-0.631578947368421
17000.631578947368421-0.631578947368421
17100.631578947368421-0.631578947368421
17200.87012987012987-0.87012987012987
17300.87012987012987-0.87012987012987
17400.87012987012987-0.87012987012987
17500.87012987012987-0.87012987012987
17600.87012987012987-0.87012987012987
17700.87012987012987-0.87012987012987
17810.870129870129870.12987012987013
17910.870129870129870.12987012987013
18010.870129870129870.12987012987013
18110.870129870129870.12987012987013
18210.870129870129870.12987012987013
18310.870129870129870.12987012987013
18400.87012987012987-0.87012987012987
18500.87012987012987-0.87012987012987
18600.87012987012987-0.87012987012987
18700.87012987012987-0.87012987012987
18800.87012987012987-0.87012987012987
18900.87012987012987-0.87012987012987
19000.631578947368421-0.631578947368421
19100.87012987012987-0.87012987012987
19200.631578947368421-0.631578947368421
19300.87012987012987-0.87012987012987
19400.631578947368421-0.631578947368421
19500.631578947368421-0.631578947368421

\begin{tabular}{lllllllll}
\hline
Actuals, Predictions, and Residuals \tabularnewline
# & Actuals & Forecasts & Residuals \tabularnewline
1 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
2 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
3 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
4 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
5 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
6 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
7 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
8 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
9 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
10 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
11 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
12 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
13 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
14 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
15 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
16 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
17 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
18 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
19 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
20 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
21 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
22 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
23 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
24 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
25 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
26 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
27 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
28 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
29 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
30 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
31 & 0 & 0.0454545454545455 & -0.0454545454545455 \tabularnewline
32 & 0 & 0.0454545454545455 & -0.0454545454545455 \tabularnewline
33 & 0 & 0.0454545454545455 & -0.0454545454545455 \tabularnewline
34 & 0 & 0.0454545454545455 & -0.0454545454545455 \tabularnewline
35 & 0 & 0.0454545454545455 & -0.0454545454545455 \tabularnewline
36 & 0 & 0.0454545454545455 & -0.0454545454545455 \tabularnewline
37 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
38 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
39 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
40 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
41 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
42 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
43 & 0 & 0.0454545454545455 & -0.0454545454545455 \tabularnewline
44 & 0 & 0.0454545454545455 & -0.0454545454545455 \tabularnewline
45 & 0 & 0.0454545454545455 & -0.0454545454545455 \tabularnewline
46 & 0 & 0.0454545454545455 & -0.0454545454545455 \tabularnewline
47 & 0 & 0.0454545454545455 & -0.0454545454545455 \tabularnewline
48 & 0 & 0.0454545454545455 & -0.0454545454545455 \tabularnewline
49 & 0 & 0.87012987012987 & -0.87012987012987 \tabularnewline
50 & 0 & 0.87012987012987 & -0.87012987012987 \tabularnewline
51 & 0 & 0.87012987012987 & -0.87012987012987 \tabularnewline
52 & 0 & 0.87012987012987 & -0.87012987012987 \tabularnewline
53 & 0 & 0.87012987012987 & -0.87012987012987 \tabularnewline
54 & 0 & 0.87012987012987 & -0.87012987012987 \tabularnewline
55 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
56 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
57 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
58 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
59 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
60 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
61 & 0 & 0.0454545454545455 & -0.0454545454545455 \tabularnewline
62 & 0 & 0.0454545454545455 & -0.0454545454545455 \tabularnewline
63 & 0 & 0.0454545454545455 & -0.0454545454545455 \tabularnewline
64 & 0 & 0.0454545454545455 & -0.0454545454545455 \tabularnewline
65 & 0 & 0.0454545454545455 & -0.0454545454545455 \tabularnewline
66 & 0 & 0.0454545454545455 & -0.0454545454545455 \tabularnewline
67 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
68 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
69 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
70 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
71 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
72 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
73 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
74 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
75 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
76 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
77 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
78 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
79 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
80 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
81 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
82 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
83 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
84 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
85 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
86 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
87 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
88 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
89 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
90 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
91 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
92 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
93 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
94 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
95 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
96 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
97 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
98 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
99 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
100 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
101 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
102 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
103 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
104 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
105 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
106 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
107 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
108 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
109 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
110 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
111 & 1 & 0.631578947368421 & 0.368421052631579 \tabularnewline
112 & 1 & 0.631578947368421 & 0.368421052631579 \tabularnewline
113 & 1 & 0.631578947368421 & 0.368421052631579 \tabularnewline
114 & 1 & 0.631578947368421 & 0.368421052631579 \tabularnewline
115 & 1 & 0.631578947368421 & 0.368421052631579 \tabularnewline
116 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
117 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
118 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
119 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
120 & 1 & 0.631578947368421 & 0.368421052631579 \tabularnewline
121 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
122 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
123 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
124 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
125 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
126 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
127 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
128 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
129 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
130 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
131 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
132 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
133 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
134 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
135 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
136 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
137 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
138 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
139 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
140 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
141 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
142 & 1 & 0.631578947368421 & 0.368421052631579 \tabularnewline
143 & 1 & 0.631578947368421 & 0.368421052631579 \tabularnewline
144 & 1 & 0.631578947368421 & 0.368421052631579 \tabularnewline
145 & 1 & 0.0454545454545455 & 0.954545454545455 \tabularnewline
146 & 1 & 0.631578947368421 & 0.368421052631579 \tabularnewline
147 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
148 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
149 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
150 & 1 & 0.631578947368421 & 0.368421052631579 \tabularnewline
151 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
152 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
153 & 1 & 0.631578947368421 & 0.368421052631579 \tabularnewline
154 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
155 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
156 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
157 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
158 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
159 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
160 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
161 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
162 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
163 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
164 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
165 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
166 & 0 & 0.0454545454545455 & -0.0454545454545455 \tabularnewline
167 & 0 & 0.0454545454545455 & -0.0454545454545455 \tabularnewline
168 & 0 & 0.0454545454545455 & -0.0454545454545455 \tabularnewline
169 & 0 & 0.631578947368421 & -0.631578947368421 \tabularnewline
170 & 0 & 0.631578947368421 & -0.631578947368421 \tabularnewline
171 & 0 & 0.631578947368421 & -0.631578947368421 \tabularnewline
172 & 0 & 0.87012987012987 & -0.87012987012987 \tabularnewline
173 & 0 & 0.87012987012987 & -0.87012987012987 \tabularnewline
174 & 0 & 0.87012987012987 & -0.87012987012987 \tabularnewline
175 & 0 & 0.87012987012987 & -0.87012987012987 \tabularnewline
176 & 0 & 0.87012987012987 & -0.87012987012987 \tabularnewline
177 & 0 & 0.87012987012987 & -0.87012987012987 \tabularnewline
178 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
179 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
180 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
181 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
182 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
183 & 1 & 0.87012987012987 & 0.12987012987013 \tabularnewline
184 & 0 & 0.87012987012987 & -0.87012987012987 \tabularnewline
185 & 0 & 0.87012987012987 & -0.87012987012987 \tabularnewline
186 & 0 & 0.87012987012987 & -0.87012987012987 \tabularnewline
187 & 0 & 0.87012987012987 & -0.87012987012987 \tabularnewline
188 & 0 & 0.87012987012987 & -0.87012987012987 \tabularnewline
189 & 0 & 0.87012987012987 & -0.87012987012987 \tabularnewline
190 & 0 & 0.631578947368421 & -0.631578947368421 \tabularnewline
191 & 0 & 0.87012987012987 & -0.87012987012987 \tabularnewline
192 & 0 & 0.631578947368421 & -0.631578947368421 \tabularnewline
193 & 0 & 0.87012987012987 & -0.87012987012987 \tabularnewline
194 & 0 & 0.631578947368421 & -0.631578947368421 \tabularnewline
195 & 0 & 0.631578947368421 & -0.631578947368421 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232122&T=2

[TABLE]
[ROW][C]Actuals, Predictions, and Residuals[/C][/ROW]
[ROW][C]#[/C][C]Actuals[/C][C]Forecasts[/C][C]Residuals[/C][/ROW]
[ROW][C]1[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]2[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]3[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]4[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]5[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]6[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]7[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]8[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]9[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]10[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]11[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]12[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]13[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]14[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]15[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]16[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]17[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]18[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]19[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]20[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]21[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]22[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]23[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]24[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]25[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]26[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]27[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]28[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]29[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]30[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]31[/C][C]0[/C][C]0.0454545454545455[/C][C]-0.0454545454545455[/C][/ROW]
[ROW][C]32[/C][C]0[/C][C]0.0454545454545455[/C][C]-0.0454545454545455[/C][/ROW]
[ROW][C]33[/C][C]0[/C][C]0.0454545454545455[/C][C]-0.0454545454545455[/C][/ROW]
[ROW][C]34[/C][C]0[/C][C]0.0454545454545455[/C][C]-0.0454545454545455[/C][/ROW]
[ROW][C]35[/C][C]0[/C][C]0.0454545454545455[/C][C]-0.0454545454545455[/C][/ROW]
[ROW][C]36[/C][C]0[/C][C]0.0454545454545455[/C][C]-0.0454545454545455[/C][/ROW]
[ROW][C]37[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]38[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]39[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]40[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]41[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]42[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]43[/C][C]0[/C][C]0.0454545454545455[/C][C]-0.0454545454545455[/C][/ROW]
[ROW][C]44[/C][C]0[/C][C]0.0454545454545455[/C][C]-0.0454545454545455[/C][/ROW]
[ROW][C]45[/C][C]0[/C][C]0.0454545454545455[/C][C]-0.0454545454545455[/C][/ROW]
[ROW][C]46[/C][C]0[/C][C]0.0454545454545455[/C][C]-0.0454545454545455[/C][/ROW]
[ROW][C]47[/C][C]0[/C][C]0.0454545454545455[/C][C]-0.0454545454545455[/C][/ROW]
[ROW][C]48[/C][C]0[/C][C]0.0454545454545455[/C][C]-0.0454545454545455[/C][/ROW]
[ROW][C]49[/C][C]0[/C][C]0.87012987012987[/C][C]-0.87012987012987[/C][/ROW]
[ROW][C]50[/C][C]0[/C][C]0.87012987012987[/C][C]-0.87012987012987[/C][/ROW]
[ROW][C]51[/C][C]0[/C][C]0.87012987012987[/C][C]-0.87012987012987[/C][/ROW]
[ROW][C]52[/C][C]0[/C][C]0.87012987012987[/C][C]-0.87012987012987[/C][/ROW]
[ROW][C]53[/C][C]0[/C][C]0.87012987012987[/C][C]-0.87012987012987[/C][/ROW]
[ROW][C]54[/C][C]0[/C][C]0.87012987012987[/C][C]-0.87012987012987[/C][/ROW]
[ROW][C]55[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]56[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]57[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]58[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]59[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]60[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]61[/C][C]0[/C][C]0.0454545454545455[/C][C]-0.0454545454545455[/C][/ROW]
[ROW][C]62[/C][C]0[/C][C]0.0454545454545455[/C][C]-0.0454545454545455[/C][/ROW]
[ROW][C]63[/C][C]0[/C][C]0.0454545454545455[/C][C]-0.0454545454545455[/C][/ROW]
[ROW][C]64[/C][C]0[/C][C]0.0454545454545455[/C][C]-0.0454545454545455[/C][/ROW]
[ROW][C]65[/C][C]0[/C][C]0.0454545454545455[/C][C]-0.0454545454545455[/C][/ROW]
[ROW][C]66[/C][C]0[/C][C]0.0454545454545455[/C][C]-0.0454545454545455[/C][/ROW]
[ROW][C]67[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]68[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]69[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]70[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]71[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]72[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]73[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]74[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]75[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]76[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]77[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]78[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]79[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]80[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]81[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]82[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]83[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]84[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]85[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]86[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]87[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]88[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]89[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]90[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]91[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]92[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]93[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]94[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]95[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]96[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]97[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]98[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]99[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]100[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]101[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]102[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]103[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]104[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]105[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]106[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]107[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]108[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]109[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]110[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]111[/C][C]1[/C][C]0.631578947368421[/C][C]0.368421052631579[/C][/ROW]
[ROW][C]112[/C][C]1[/C][C]0.631578947368421[/C][C]0.368421052631579[/C][/ROW]
[ROW][C]113[/C][C]1[/C][C]0.631578947368421[/C][C]0.368421052631579[/C][/ROW]
[ROW][C]114[/C][C]1[/C][C]0.631578947368421[/C][C]0.368421052631579[/C][/ROW]
[ROW][C]115[/C][C]1[/C][C]0.631578947368421[/C][C]0.368421052631579[/C][/ROW]
[ROW][C]116[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]117[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]118[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]119[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]120[/C][C]1[/C][C]0.631578947368421[/C][C]0.368421052631579[/C][/ROW]
[ROW][C]121[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]122[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]123[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]124[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]125[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]126[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]127[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]128[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]129[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]130[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]131[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]132[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]133[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]134[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]135[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]136[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]137[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]138[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]139[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]140[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]141[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]142[/C][C]1[/C][C]0.631578947368421[/C][C]0.368421052631579[/C][/ROW]
[ROW][C]143[/C][C]1[/C][C]0.631578947368421[/C][C]0.368421052631579[/C][/ROW]
[ROW][C]144[/C][C]1[/C][C]0.631578947368421[/C][C]0.368421052631579[/C][/ROW]
[ROW][C]145[/C][C]1[/C][C]0.0454545454545455[/C][C]0.954545454545455[/C][/ROW]
[ROW][C]146[/C][C]1[/C][C]0.631578947368421[/C][C]0.368421052631579[/C][/ROW]
[ROW][C]147[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]148[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]149[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]150[/C][C]1[/C][C]0.631578947368421[/C][C]0.368421052631579[/C][/ROW]
[ROW][C]151[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]152[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]153[/C][C]1[/C][C]0.631578947368421[/C][C]0.368421052631579[/C][/ROW]
[ROW][C]154[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]155[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]156[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]157[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]158[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]159[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]160[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]161[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]162[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]163[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]164[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]165[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]166[/C][C]0[/C][C]0.0454545454545455[/C][C]-0.0454545454545455[/C][/ROW]
[ROW][C]167[/C][C]0[/C][C]0.0454545454545455[/C][C]-0.0454545454545455[/C][/ROW]
[ROW][C]168[/C][C]0[/C][C]0.0454545454545455[/C][C]-0.0454545454545455[/C][/ROW]
[ROW][C]169[/C][C]0[/C][C]0.631578947368421[/C][C]-0.631578947368421[/C][/ROW]
[ROW][C]170[/C][C]0[/C][C]0.631578947368421[/C][C]-0.631578947368421[/C][/ROW]
[ROW][C]171[/C][C]0[/C][C]0.631578947368421[/C][C]-0.631578947368421[/C][/ROW]
[ROW][C]172[/C][C]0[/C][C]0.87012987012987[/C][C]-0.87012987012987[/C][/ROW]
[ROW][C]173[/C][C]0[/C][C]0.87012987012987[/C][C]-0.87012987012987[/C][/ROW]
[ROW][C]174[/C][C]0[/C][C]0.87012987012987[/C][C]-0.87012987012987[/C][/ROW]
[ROW][C]175[/C][C]0[/C][C]0.87012987012987[/C][C]-0.87012987012987[/C][/ROW]
[ROW][C]176[/C][C]0[/C][C]0.87012987012987[/C][C]-0.87012987012987[/C][/ROW]
[ROW][C]177[/C][C]0[/C][C]0.87012987012987[/C][C]-0.87012987012987[/C][/ROW]
[ROW][C]178[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]179[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]180[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]181[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]182[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]183[/C][C]1[/C][C]0.87012987012987[/C][C]0.12987012987013[/C][/ROW]
[ROW][C]184[/C][C]0[/C][C]0.87012987012987[/C][C]-0.87012987012987[/C][/ROW]
[ROW][C]185[/C][C]0[/C][C]0.87012987012987[/C][C]-0.87012987012987[/C][/ROW]
[ROW][C]186[/C][C]0[/C][C]0.87012987012987[/C][C]-0.87012987012987[/C][/ROW]
[ROW][C]187[/C][C]0[/C][C]0.87012987012987[/C][C]-0.87012987012987[/C][/ROW]
[ROW][C]188[/C][C]0[/C][C]0.87012987012987[/C][C]-0.87012987012987[/C][/ROW]
[ROW][C]189[/C][C]0[/C][C]0.87012987012987[/C][C]-0.87012987012987[/C][/ROW]
[ROW][C]190[/C][C]0[/C][C]0.631578947368421[/C][C]-0.631578947368421[/C][/ROW]
[ROW][C]191[/C][C]0[/C][C]0.87012987012987[/C][C]-0.87012987012987[/C][/ROW]
[ROW][C]192[/C][C]0[/C][C]0.631578947368421[/C][C]-0.631578947368421[/C][/ROW]
[ROW][C]193[/C][C]0[/C][C]0.87012987012987[/C][C]-0.87012987012987[/C][/ROW]
[ROW][C]194[/C][C]0[/C][C]0.631578947368421[/C][C]-0.631578947368421[/C][/ROW]
[ROW][C]195[/C][C]0[/C][C]0.631578947368421[/C][C]-0.631578947368421[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=232122&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232122&T=2

As an alternative you can also use a QR Code:  

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

Actuals, Predictions, and Residuals
#ActualsForecastsResiduals
110.870129870129870.12987012987013
210.870129870129870.12987012987013
310.870129870129870.12987012987013
410.870129870129870.12987012987013
510.870129870129870.12987012987013
610.870129870129870.12987012987013
710.870129870129870.12987012987013
810.870129870129870.12987012987013
910.870129870129870.12987012987013
1010.870129870129870.12987012987013
1110.870129870129870.12987012987013
1210.870129870129870.12987012987013
1310.870129870129870.12987012987013
1410.870129870129870.12987012987013
1510.870129870129870.12987012987013
1610.870129870129870.12987012987013
1710.870129870129870.12987012987013
1810.870129870129870.12987012987013
1910.870129870129870.12987012987013
2010.870129870129870.12987012987013
2110.870129870129870.12987012987013
2210.870129870129870.12987012987013
2310.870129870129870.12987012987013
2410.870129870129870.12987012987013
2510.870129870129870.12987012987013
2610.870129870129870.12987012987013
2710.870129870129870.12987012987013
2810.870129870129870.12987012987013
2910.870129870129870.12987012987013
3010.870129870129870.12987012987013
3100.0454545454545455-0.0454545454545455
3200.0454545454545455-0.0454545454545455
3300.0454545454545455-0.0454545454545455
3400.0454545454545455-0.0454545454545455
3500.0454545454545455-0.0454545454545455
3600.0454545454545455-0.0454545454545455
3710.870129870129870.12987012987013
3810.870129870129870.12987012987013
3910.870129870129870.12987012987013
4010.870129870129870.12987012987013
4110.870129870129870.12987012987013
4210.870129870129870.12987012987013
4300.0454545454545455-0.0454545454545455
4400.0454545454545455-0.0454545454545455
4500.0454545454545455-0.0454545454545455
4600.0454545454545455-0.0454545454545455
4700.0454545454545455-0.0454545454545455
4800.0454545454545455-0.0454545454545455
4900.87012987012987-0.87012987012987
5000.87012987012987-0.87012987012987
5100.87012987012987-0.87012987012987
5200.87012987012987-0.87012987012987
5300.87012987012987-0.87012987012987
5400.87012987012987-0.87012987012987
5510.870129870129870.12987012987013
5610.870129870129870.12987012987013
5710.870129870129870.12987012987013
5810.870129870129870.12987012987013
5910.870129870129870.12987012987013
6010.870129870129870.12987012987013
6100.0454545454545455-0.0454545454545455
6200.0454545454545455-0.0454545454545455
6300.0454545454545455-0.0454545454545455
6400.0454545454545455-0.0454545454545455
6500.0454545454545455-0.0454545454545455
6600.0454545454545455-0.0454545454545455
6710.870129870129870.12987012987013
6810.870129870129870.12987012987013
6910.870129870129870.12987012987013
7010.870129870129870.12987012987013
7110.870129870129870.12987012987013
7210.870129870129870.12987012987013
7310.870129870129870.12987012987013
7410.870129870129870.12987012987013
7510.870129870129870.12987012987013
7610.870129870129870.12987012987013
7710.870129870129870.12987012987013
7810.870129870129870.12987012987013
7910.870129870129870.12987012987013
8010.870129870129870.12987012987013
8110.870129870129870.12987012987013
8210.870129870129870.12987012987013
8310.870129870129870.12987012987013
8410.870129870129870.12987012987013
8510.870129870129870.12987012987013
8610.870129870129870.12987012987013
8710.870129870129870.12987012987013
8810.870129870129870.12987012987013
8910.870129870129870.12987012987013
9010.870129870129870.12987012987013
9110.870129870129870.12987012987013
9210.870129870129870.12987012987013
9310.870129870129870.12987012987013
9410.870129870129870.12987012987013
9510.870129870129870.12987012987013
9610.870129870129870.12987012987013
9710.870129870129870.12987012987013
9810.870129870129870.12987012987013
9910.870129870129870.12987012987013
10010.870129870129870.12987012987013
10110.870129870129870.12987012987013
10210.870129870129870.12987012987013
10310.870129870129870.12987012987013
10410.870129870129870.12987012987013
10510.870129870129870.12987012987013
10610.870129870129870.12987012987013
10710.870129870129870.12987012987013
10810.870129870129870.12987012987013
10910.870129870129870.12987012987013
11010.870129870129870.12987012987013
11110.6315789473684210.368421052631579
11210.6315789473684210.368421052631579
11310.6315789473684210.368421052631579
11410.6315789473684210.368421052631579
11510.6315789473684210.368421052631579
11610.870129870129870.12987012987013
11710.870129870129870.12987012987013
11810.870129870129870.12987012987013
11910.870129870129870.12987012987013
12010.6315789473684210.368421052631579
12110.870129870129870.12987012987013
12210.870129870129870.12987012987013
12310.870129870129870.12987012987013
12410.870129870129870.12987012987013
12510.870129870129870.12987012987013
12610.870129870129870.12987012987013
12710.870129870129870.12987012987013
12810.870129870129870.12987012987013
12910.870129870129870.12987012987013
13010.870129870129870.12987012987013
13110.870129870129870.12987012987013
13210.870129870129870.12987012987013
13310.870129870129870.12987012987013
13410.870129870129870.12987012987013
13510.870129870129870.12987012987013
13610.870129870129870.12987012987013
13710.870129870129870.12987012987013
13810.870129870129870.12987012987013
13910.870129870129870.12987012987013
14010.870129870129870.12987012987013
14110.870129870129870.12987012987013
14210.6315789473684210.368421052631579
14310.6315789473684210.368421052631579
14410.6315789473684210.368421052631579
14510.04545454545454550.954545454545455
14610.6315789473684210.368421052631579
14710.870129870129870.12987012987013
14810.870129870129870.12987012987013
14910.870129870129870.12987012987013
15010.6315789473684210.368421052631579
15110.870129870129870.12987012987013
15210.870129870129870.12987012987013
15310.6315789473684210.368421052631579
15410.870129870129870.12987012987013
15510.870129870129870.12987012987013
15610.870129870129870.12987012987013
15710.870129870129870.12987012987013
15810.870129870129870.12987012987013
15910.870129870129870.12987012987013
16010.870129870129870.12987012987013
16110.870129870129870.12987012987013
16210.870129870129870.12987012987013
16310.870129870129870.12987012987013
16410.870129870129870.12987012987013
16510.870129870129870.12987012987013
16600.0454545454545455-0.0454545454545455
16700.0454545454545455-0.0454545454545455
16800.0454545454545455-0.0454545454545455
16900.631578947368421-0.631578947368421
17000.631578947368421-0.631578947368421
17100.631578947368421-0.631578947368421
17200.87012987012987-0.87012987012987
17300.87012987012987-0.87012987012987
17400.87012987012987-0.87012987012987
17500.87012987012987-0.87012987012987
17600.87012987012987-0.87012987012987
17700.87012987012987-0.87012987012987
17810.870129870129870.12987012987013
17910.870129870129870.12987012987013
18010.870129870129870.12987012987013
18110.870129870129870.12987012987013
18210.870129870129870.12987012987013
18310.870129870129870.12987012987013
18400.87012987012987-0.87012987012987
18500.87012987012987-0.87012987012987
18600.87012987012987-0.87012987012987
18700.87012987012987-0.87012987012987
18800.87012987012987-0.87012987012987
18900.87012987012987-0.87012987012987
19000.631578947368421-0.631578947368421
19100.87012987012987-0.87012987012987
19200.631578947368421-0.631578947368421
19300.87012987012987-0.87012987012987
19400.631578947368421-0.631578947368421
19500.631578947368421-0.631578947368421



Parameters (Session):
par1 = 1 ; par2 = none ; par4 = no ;
Parameters (R input):
par1 = 1 ; par2 = none ; par3 = ; par4 = no ; par5 = ; par6 = ; par7 = ; par8 = ; par9 = ; par10 = ; par11 = ; par12 = ; par13 = ; par14 = ; par15 = ; par16 = ; par17 = ; par18 = ; par19 = ; par20 = ;
R code (references can be found in the software module):
library(party)
library(Hmisc)
par1 <- as.numeric(par1)
par3 <- as.numeric(par3)
x <- data.frame(t(y))
is.data.frame(x)
x <- x[!is.na(x[,par1]),]
k <- length(x[1,])
n <- length(x[,1])
colnames(x)[par1]
x[,par1]
if (par2 == 'kmeans') {
cl <- kmeans(x[,par1], par3)
print(cl)
clm <- matrix(cbind(cl$centers,1:par3),ncol=2)
clm <- clm[sort.list(clm[,1]),]
for (i in 1:par3) {
cl$cluster[cl$cluster==clm[i,2]] <- paste('C',i,sep='')
}
cl$cluster <- as.factor(cl$cluster)
print(cl$cluster)
x[,par1] <- cl$cluster
}
if (par2 == 'quantiles') {
x[,par1] <- cut2(x[,par1],g=par3)
}
if (par2 == 'hclust') {
hc <- hclust(dist(x[,par1])^2, 'cen')
print(hc)
memb <- cutree(hc, k = par3)
dum <- c(mean(x[memb==1,par1]))
for (i in 2:par3) {
dum <- c(dum, mean(x[memb==i,par1]))
}
hcm <- matrix(cbind(dum,1:par3),ncol=2)
hcm <- hcm[sort.list(hcm[,1]),]
for (i in 1:par3) {
memb[memb==hcm[i,2]] <- paste('C',i,sep='')
}
memb <- as.factor(memb)
print(memb)
x[,par1] <- memb
}
if (par2=='equal') {
ed <- cut(as.numeric(x[,par1]),par3,labels=paste('C',1:par3,sep=''))
x[,par1] <- as.factor(ed)
}
table(x[,par1])
colnames(x)
colnames(x)[par1]
x[,par1]
if (par2 == 'none') {
m <- ctree(as.formula(paste(colnames(x)[par1],' ~ .',sep='')),data = x)
}
load(file='createtable')
if (par2 != 'none') {
m <- ctree(as.formula(paste('as.factor(',colnames(x)[par1],') ~ .',sep='')),data = x)
if (par4=='yes') {
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'10-Fold Cross Validation',3+2*par3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'',1,TRUE)
a<-table.element(a,'Prediction (training)',par3+1,TRUE)
a<-table.element(a,'Prediction (testing)',par3+1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Actual',1,TRUE)
for (jjj in 1:par3) a<-table.element(a,paste('C',jjj,sep=''),1,TRUE)
a<-table.element(a,'CV',1,TRUE)
for (jjj in 1:par3) a<-table.element(a,paste('C',jjj,sep=''),1,TRUE)
a<-table.element(a,'CV',1,TRUE)
a<-table.row.end(a)
for (i in 1:10) {
ind <- sample(2, nrow(x), replace=T, prob=c(0.9,0.1))
m.ct <- ctree(as.formula(paste('as.factor(',colnames(x)[par1],') ~ .',sep='')),data =x[ind==1,])
if (i==1) {
m.ct.i.pred <- predict(m.ct, newdata=x[ind==1,])
m.ct.i.actu <- x[ind==1,par1]
m.ct.x.pred <- predict(m.ct, newdata=x[ind==2,])
m.ct.x.actu <- x[ind==2,par1]
} else {
m.ct.i.pred <- c(m.ct.i.pred,predict(m.ct, newdata=x[ind==1,]))
m.ct.i.actu <- c(m.ct.i.actu,x[ind==1,par1])
m.ct.x.pred <- c(m.ct.x.pred,predict(m.ct, newdata=x[ind==2,]))
m.ct.x.actu <- c(m.ct.x.actu,x[ind==2,par1])
}
}
print(m.ct.i.tab <- table(m.ct.i.actu,m.ct.i.pred))
numer <- 0
for (i in 1:par3) {
print(m.ct.i.tab[i,i] / sum(m.ct.i.tab[i,]))
numer <- numer + m.ct.i.tab[i,i]
}
print(m.ct.i.cp <- numer / sum(m.ct.i.tab))
print(m.ct.x.tab <- table(m.ct.x.actu,m.ct.x.pred))
numer <- 0
for (i in 1:par3) {
print(m.ct.x.tab[i,i] / sum(m.ct.x.tab[i,]))
numer <- numer + m.ct.x.tab[i,i]
}
print(m.ct.x.cp <- numer / sum(m.ct.x.tab))
for (i in 1:par3) {
a<-table.row.start(a)
a<-table.element(a,paste('C',i,sep=''),1,TRUE)
for (jjj in 1:par3) a<-table.element(a,m.ct.i.tab[i,jjj])
a<-table.element(a,round(m.ct.i.tab[i,i]/sum(m.ct.i.tab[i,]),4))
for (jjj in 1:par3) a<-table.element(a,m.ct.x.tab[i,jjj])
a<-table.element(a,round(m.ct.x.tab[i,i]/sum(m.ct.x.tab[i,]),4))
a<-table.row.end(a)
}
a<-table.row.start(a)
a<-table.element(a,'Overall',1,TRUE)
for (jjj in 1:par3) a<-table.element(a,'-')
a<-table.element(a,round(m.ct.i.cp,4))
for (jjj in 1:par3) a<-table.element(a,'-')
a<-table.element(a,round(m.ct.x.cp,4))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable3.tab')
}
}
m
bitmap(file='test1.png')
plot(m)
dev.off()
bitmap(file='test1a.png')
plot(x[,par1] ~ as.factor(where(m)),main='Response by Terminal Node',xlab='Terminal Node',ylab='Response')
dev.off()
if (par2 == 'none') {
forec <- predict(m)
result <- as.data.frame(cbind(x[,par1],forec,x[,par1]-forec))
colnames(result) <- c('Actuals','Forecasts','Residuals')
print(result)
}
if (par2 != 'none') {
print(cbind(as.factor(x[,par1]),predict(m)))
myt <- table(as.factor(x[,par1]),predict(m))
print(myt)
}
bitmap(file='test2.png')
if(par2=='none') {
op <- par(mfrow=c(2,2))
plot(density(result$Actuals),main='Kernel Density Plot of Actuals')
plot(density(result$Residuals),main='Kernel Density Plot of Residuals')
plot(result$Forecasts,result$Actuals,main='Actuals versus Predictions',xlab='Predictions',ylab='Actuals')
plot(density(result$Forecasts),main='Kernel Density Plot of Predictions')
par(op)
}
if(par2!='none') {
plot(myt,main='Confusion Matrix',xlab='Actual',ylab='Predicted')
}
dev.off()
if (par2 == 'none') {
detcoef <- cor(result$Forecasts,result$Actuals)
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Goodness of Fit',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Correlation',1,TRUE)
a<-table.element(a,round(detcoef,4))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'R-squared',1,TRUE)
a<-table.element(a,round(detcoef*detcoef,4))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'RMSE',1,TRUE)
a<-table.element(a,round(sqrt(mean((result$Residuals)^2)),4))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable1.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Actuals, Predictions, and Residuals',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'#',header=TRUE)
a<-table.element(a,'Actuals',header=TRUE)
a<-table.element(a,'Forecasts',header=TRUE)
a<-table.element(a,'Residuals',header=TRUE)
a<-table.row.end(a)
for (i in 1:length(result$Actuals)) {
a<-table.row.start(a)
a<-table.element(a,i,header=TRUE)
a<-table.element(a,result$Actuals[i])
a<-table.element(a,result$Forecasts[i])
a<-table.element(a,result$Residuals[i])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
}
if (par2 != 'none') {
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Confusion Matrix (predicted in columns / actuals in rows)',par3+1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'',1,TRUE)
for (i in 1:par3) {
a<-table.element(a,paste('C',i,sep=''),1,TRUE)
}
a<-table.row.end(a)
for (i in 1:par3) {
a<-table.row.start(a)
a<-table.element(a,paste('C',i,sep=''),1,TRUE)
for (j in 1:par3) {
a<-table.element(a,myt[i,j])
}
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable2.tab')
}