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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationTue, 08 Dec 2015 15:45:09 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2015/Dec/08/t1449589629qcflkxjna9603cv.htm/, Retrieved Thu, 16 May 2024 18:35:46 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=285537, Retrieved Thu, 16 May 2024 18:35:46 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact85

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Multiple Regression] [] [2015-12-08 15:45:09] [63a9f0ea7bb98050796b649e85481845] [Current]
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Dataset

Dataseries X:
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Histogram
Boxplots 
1 119.992 157.302 74.997 0.00784 0.00007 0.0037 0.00554 0.01109 0.04374 0.426 0.02182 0.0313 0.02971 0.06545 0.02211 21.033 0.414783 0.815285 -4.813031 0.266482 2.301442 0.284654
1 122.4 148.65 113.819 0.00968 0.00008 0.00465 0.00696 0.01394 0.06134 0.626 0.03134 0.04518 0.04368 0.09403 0.01929 19.085 0.458359 0.819521 -4.075192 0.33559 2.486855 0.368674
1 116.682 131.111 111.555 0.0105 0.00009 0.00544 0.00781 0.01633 0.05233 0.482 0.02757 0.03858 0.0359 0.0827 0.01309 20.651 0.429895 0.825288 -4.443179 0.311173 2.342259 0.332634
1 116.676 137.871 111.366 0.00997 0.00009 0.00502 0.00698 0.01505 0.05492 0.517 0.02924 0.04005 0.03772 0.08771 0.01353 20.644 0.434969 0.819235 -4.117501 0.334147 2.405554 0.368975
1 116.014 141.781 110.655 0.01284 0.00011 0.00655 0.00908 0.01966 0.06425 0.584 0.0349 0.04825 0.04465 0.1047 0.01767 19.649 0.417356 0.823484 -3.747787 0.234513 2.33218 0.410335
1 120.552 131.162 113.787 0.00968 0.00008 0.00463 0.0075 0.01388 0.04701 0.456 0.02328 0.03526 0.03243 0.06985 0.01222 21.378 0.415564 0.825069 -4.242867 0.299111 2.18756 0.357775
1 120.267 137.244 114.82 0.00333 0.00003 0.00155 0.00202 0.00466 0.01608 0.14 0.00779 0.00937 0.01351 0.02337 0.00607 24.886 0.59604 0.764112 -5.634322 0.257682 1.854785 0.211756
1 107.332 113.84 104.315 0.0029 0.00003 0.00144 0.00182 0.00431 0.01567 0.134 0.00829 0.00946 0.01256 0.02487 0.00344 26.892 0.63742 0.763262 -6.167603 0.183721 2.064693 0.163755
1 95.73 132.068 91.754 0.00551 0.00006 0.00293 0.00332 0.0088 0.02093 0.191 0.01073 0.01277 0.01717 0.03218 0.0107 21.812 0.615551 0.773587 -5.498678 0.327769 2.322511 0.231571
1 95.056 120.103 91.226 0.00532 0.00006 0.00268 0.00332 0.00803 0.02838 0.255 0.01441 0.01725 0.02444 0.04324 0.01022 21.862 0.547037 0.798463 -5.011879 0.325996 2.432792 0.271362
1 88.333 112.24 84.072 0.00505 0.00006 0.00254 0.0033 0.00763 0.02143 0.197 0.01079 0.01342 0.01892 0.03237 0.01166 21.118 0.611137 0.776156 -5.24977 0.391002 2.407313 0.24974
1 91.904 115.871 86.292 0.0054 0.00006 0.00281 0.00336 0.00844 0.02752 0.249 0.01424 0.01641 0.02214 0.04272 0.01141 21.414 0.58339 0.79252 -4.960234 0.363566 2.642476 0.275931
1 136.926 159.866 131.276 0.00293 0.00002 0.00118 0.00153 0.00355 0.01259 0.112 0.00656 0.00717 0.0114 0.01968 0.00581 25.703 0.4606 0.646846 -6.547148 0.152813 2.041277 0.138512
1 139.173 179.139 76.556 0.0039 0.00003 0.00165 0.00208 0.00496 0.01642 0.154 0.00728 0.00932 0.01797 0.02184 0.01041 24.889 0.430166 0.665833 -5.660217 0.254989 2.519422 0.199889
1 152.845 163.305 75.836 0.00294 0.00002 0.00121 0.00149 0.00364 0.01828 0.158 0.01064 0.00972 0.01246 0.03191 0.00609 24.922 0.474791 0.654027 -6.105098 0.203653 2.125618 0.1701
1 142.167 217.455 83.159 0.00369 0.00003 0.00157 0.00203 0.00471 0.01503 0.126 0.00772 0.00888 0.01359 0.02316 0.00839 25.175 0.565924 0.658245 -5.340115 0.210185 2.205546 0.234589
1 144.188 349.259 82.764 0.00544 0.00004 0.00211 0.00292 0.00632 0.02047 0.192 0.00969 0.012 0.02074 0.02908 0.01859 22.333 0.56738 0.644692 -5.44004 0.239764 2.264501 0.218164
1 168.778 232.181 75.603 0.00718 0.00004 0.00284 0.00387 0.00853 0.03327 0.348 0.01441 0.01893 0.0343 0.04322 0.02919 20.376 0.631099 0.605417 -2.93107 0.434326 3.007463 0.430788
1 153.046 175.829 68.623 0.00742 0.00005 0.00364 0.00432 0.01092 0.05517 0.542 0.02471 0.03572 0.05767 0.07413 0.0316 17.28 0.665318 0.719467 -3.949079 0.35787 3.10901 0.377429
1 156.405 189.398 142.822 0.00768 0.00005 0.00372 0.00399 0.01116 0.03995 0.348 0.01721 0.02374 0.0431 0.05164 0.03365 17.153 0.649554 0.68608 -4.554466 0.340176 2.856676 0.322111
1 153.848 165.738 65.782 0.0084 0.00005 0.00428 0.0045 0.01285 0.0381 0.328 0.01667 0.02383 0.04055 0.05 0.03871 17.536 0.660125 0.704087 -4.095442 0.262564 2.73971 0.365391
1 153.88 172.86 78.128 0.0048 0.00003 0.00232 0.00267 0.00696 0.04137 0.37 0.02021 0.02591 0.04525 0.06062 0.01849 19.493 0.629017 0.698951 -5.18696 0.237622 2.557536 0.259765
1 167.93 193.221 79.068 0.00442 0.00003 0.0022 0.00247 0.00661 0.04351 0.377 0.02228 0.0254 0.04246 0.06685 0.0128 22.468 0.61906 0.679834 -4.330956 0.262384 2.916777 0.285695
1 173.917 192.735 86.18 0.00476 0.00003 0.00221 0.00258 0.00663 0.04192 0.364 0.02187 0.0247 0.03772 0.06562 0.0184 20.422 0.537264 0.686894 -5.248776 0.210279 2.547508 0.253556
1 163.656 200.841 76.779 0.00742 0.00005 0.0038 0.0039 0.0114 0.01659 0.164 0.00738 0.00948 0.01497 0.02214 0.01778 23.831 0.397937 0.732479 -5.557447 0.22089 2.692176 0.215961
1 104.4 206.002 77.968 0.00633 0.00006 0.00316 0.00375 0.00948 0.03767 0.381 0.01732 0.02245 0.0378 0.05197 0.02887 22.066 0.522746 0.737948 -5.571843 0.236853 2.846369 0.219514
1 171.041 208.313 75.501 0.00455 0.00003 0.0025 0.00234 0.0075 0.01966 0.186 0.00889 0.01169 0.01872 0.02666 0.01095 25.908 0.418622 0.720916 -6.18359 0.226278 2.589702 0.147403
1 146.845 208.701 81.737 0.00496 0.00003 0.0025 0.00275 0.00749 0.01919 0.198 0.00883 0.01144 0.01826 0.0265 0.01328 25.119 0.358773 0.726652 -6.27169 0.196102 2.314209 0.162999
1 155.358 227.383 80.055 0.0031 0.00002 0.00159 0.00176 0.00476 0.01718 0.161 0.00769 0.01012 0.01661 0.02307 0.00677 25.97 0.470478 0.676258 -7.120925 0.279789 2.241742 0.108514
1 162.568 198.346 77.63 0.00502 0.00003 0.0028 0.00253 0.00841 0.01791 0.168 0.00793 0.01057 0.01799 0.0238 0.0117 25.678 0.427785 0.723797 -6.635729 0.209866 1.957961 0.135242
0 197.076 206.896 192.055 0.00289 0.00001 0.00166 0.00168 0.00498 0.01098 0.097 0.00563 0.0068 0.00802 0.01689 0.00339 26.775 0.422229 0.741367 -7.3483 0.177551 1.743867 0.085569
0 199.228 209.512 192.091 0.00241 0.00001 0.00134 0.00138 0.00402 0.01015 0.089 0.00504 0.00641 0.00762 0.01513 0.00167 30.94 0.432439 0.742055 -7.682587 0.173319 2.103106 0.068501
0 198.383 215.203 193.104 0.00212 0.00001 0.00113 0.00135 0.00339 0.01263 0.111 0.0064 0.00825 0.00951 0.01919 0.00119 30.775 0.465946 0.738703 -7.067931 0.175181 1.512275 0.09632
0 202.266 211.604 197.079 0.0018 0.000009 0.00093 0.00107 0.00278 0.00954 0.085 0.00469 0.00606 0.00719 0.01407 0.00072 32.684 0.368535 0.742133 -7.695734 0.17854 1.544609 0.056141
0 203.184 211.526 196.16 0.00178 0.000009 0.00094 0.00106 0.00283 0.00958 0.085 0.00468 0.0061 0.00726 0.01403 0.00065 33.047 0.340068 0.741899 -7.964984 0.163519 1.423287 0.044539
0 201.464 210.565 195.708 0.00198 0.00001 0.00105 0.00115 0.00314 0.01194 0.107 0.00586 0.0076 0.00957 0.01758 0.00135 31.732 0.344252 0.742737 -7.777685 0.170183 2.447064 0.05761
1 177.876 192.921 168.013 0.00411 0.00002 0.00233 0.00241 0.007 0.02126 0.189 0.01154 0.01347 0.01612 0.03463 0.00586 23.216 0.360148 0.778834 -6.149653 0.218037 2.477082 0.165827
1 176.17 185.604 163.564 0.00369 0.00002 0.00205 0.00218 0.00616 0.01851 0.168 0.00938 0.0116 0.01491 0.02814 0.0034 24.951 0.341435 0.783626 -6.006414 0.196371 2.536527 0.173218
1 180.198 201.249 175.456 0.00284 0.00002 0.00153 0.00166 0.00459 0.01444 0.131 0.00726 0.00885 0.0119 0.02177 0.00231 26.738 0.403884 0.766209 -6.452058 0.212294 2.269398 0.141929
1 187.733 202.324 173.015 0.00316 0.00002 0.00168 0.00182 0.00504 0.01663 0.151 0.00829 0.01003 0.01366 0.02488 0.00265 26.31 0.396793 0.758324 -6.006647 0.266892 2.382544 0.160691
1 186.163 197.724 177.584 0.00298 0.00002 0.00165 0.00175 0.00496 0.01495 0.135 0.00774 0.00941 0.01233 0.02321 0.00231 26.822 0.32648 0.765623 -6.647379 0.201095 2.374073 0.130554
1 184.055 196.537 166.977 0.00258 0.00001 0.00134 0.00147 0.00403 0.01463 0.132 0.00742 0.00901 0.01234 0.02226 0.00257 26.453 0.306443 0.759203 -7.044105 0.063412 2.361532 0.11573
0 237.226 247.326 225.227 0.00298 0.00001 0.00169 0.00182 0.00507 0.01752 0.164 0.01035 0.01024 0.01133 0.03104 0.0074 22.736 0.305062 0.654172 -7.31055 0.098648 2.416838 0.095032
0 241.404 248.834 232.483 0.00281 0.00001 0.00157 0.00173 0.0047 0.0176 0.154 0.01006 0.01038 0.01251 0.03017 0.00675 23.145 0.457702 0.634267 -6.793547 0.158266 2.256699 0.117399
0 243.439 250.912 232.435 0.0021 0.000009 0.00109 0.00137 0.00327 0.01419 0.126 0.00777 0.00898 0.01033 0.0233 0.00454 25.368 0.438296 0.635285 -7.057869 0.091608 2.330716 0.09147
0 242.852 255.034 227.911 0.00225 0.000009 0.00117 0.00139 0.0035 0.01494 0.134 0.00847 0.00879 0.01014 0.02542 0.00476 25.032 0.431285 0.638928 -6.99582 0.102083 2.3658 0.102706
0 245.51 262.09 231.848 0.00235 0.00001 0.00127 0.00148 0.0038 0.01608 0.141 0.00906 0.00977 0.01149 0.02719 0.00476 24.602 0.467489 0.631653 -7.156076 0.127642 2.392122 0.097336
0 252.455 261.487 182.786 0.00185 0.000007 0.00092 0.00113 0.00276 0.01152 0.103 0.00614 0.0073 0.0086 0.01841 0.00432 26.805 0.610367 0.635204 -7.31951 0.200873 2.028612 0.086398
0 122.188 128.611 115.765 0.00524 0.00004 0.00169 0.00203 0.00507 0.01613 0.143 0.00855 0.00776 0.01433 0.02566 0.00839 23.162 0.579597 0.733659 -6.439398 0.266392 2.079922 0.133867
0 122.964 130.049 114.676 0.00428 0.00003 0.00124 0.00155 0.00373 0.01681 0.154 0.0093 0.00802 0.014 0.02789 0.00462 24.971 0.538688 0.754073 -6.482096 0.264967 2.054419 0.128872
0 124.445 135.069 117.495 0.00431 0.00003 0.00141 0.00167 0.00422 0.02184 0.197 0.01241 0.01024 0.01685 0.03724 0.00479 25.135 0.553134 0.775933 -6.650471 0.254498 1.840198 0.103561
0 126.344 134.231 112.773 0.00448 0.00004 0.00131 0.00169 0.00393 0.02033 0.185 0.01143 0.00959 0.01614 0.03429 0.00474 25.03 0.507504 0.760361 -6.689151 0.291954 2.431854 0.105993
0 128.001 138.052 122.08 0.00436 0.00003 0.00137 0.00166 0.00411 0.02297 0.21 0.01323 0.01072 0.01677 0.03969 0.00481 24.692 0.459766 0.766204 -7.072419 0.220434 1.972297 0.119308
0 129.336 139.867 118.604 0.0049 0.00004 0.00165 0.00183 0.00495 0.02498 0.228 0.01396 0.01219 0.01947 0.04188 0.00484 25.429 0.420383 0.785714 -6.836811 0.269866 2.223719 0.147491
1 108.807 134.656 102.874 0.00761 0.00007 0.00349 0.00486 0.01046 0.02719 0.255 0.01483 0.01609 0.02067 0.0445 0.01036 21.028 0.536009 0.819032 -4.649573 0.205558 1.986899 0.3167
1 109.86 126.358 104.437 0.00874 0.00008 0.00398 0.00539 0.01193 0.03209 0.307 0.01789 0.01992 0.02454 0.05368 0.0118 20.767 0.558586 0.811843 -4.333543 0.221727 2.014606 0.344834
1 110.417 131.067 103.37 0.00784 0.00007 0.00352 0.00514 0.01056 0.03715 0.334 0.02032 0.02302 0.02802 0.06097 0.00969 21.422 0.541781 0.821364 -4.438453 0.238298 1.92294 0.335041
1 117.274 129.916 110.402 0.00752 0.00006 0.00299 0.00469 0.00898 0.02293 0.221 0.01189 0.01459 0.01948 0.03568 0.00681 22.817 0.530529 0.817756 -4.60826 0.290024 2.021591 0.314464
1 116.879 131.897 108.153 0.00788 0.00007 0.00334 0.00493 0.01003 0.02645 0.265 0.01394 0.01625 0.02137 0.04183 0.00786 22.603 0.540049 0.813432 -4.476755 0.262633 1.827012 0.326197
1 114.847 271.314 104.68 0.00867 0.00008 0.00373 0.0052 0.0112 0.03225 0.35 0.01805 0.01974 0.02519 0.05414 0.01143 21.66 0.547975 0.817396 -4.609161 0.221711 1.831691 0.316395
0 209.144 237.494 109.379 0.00282 0.00001 0.00147 0.00152 0.00442 0.01861 0.17 0.00975 0.01258 0.01382 0.02925 0.00871 25.554 0.341788 0.678874 -7.040508 0.066994 2.460791 0.101516
0 223.365 238.987 98.664 0.00264 0.00001 0.00154 0.00151 0.00461 0.01906 0.165 0.01013 0.01296 0.0134 0.03039 0.00301 26.138 0.447979 0.686264 -7.293801 0.086372 2.32156 0.098555
0 222.236 231.345 205.495 0.00266 0.00001 0.00152 0.00144 0.00457 0.01643 0.145 0.00867 0.01108 0.012 0.02602 0.0034 25.856 0.364867 0.694399 -6.966321 0.095882 2.278687 0.103224
0 228.832 234.619 223.634 0.00296 0.00001 0.00175 0.00155 0.00526 0.01644 0.145 0.00882 0.01075 0.01179 0.02647 0.00351 25.964 0.25657 0.683296 -7.24562 0.018689 2.498224 0.093534
0 229.401 252.221 221.156 0.00205 0.000009 0.00114 0.00113 0.00342 0.01457 0.129 0.00769 0.00957 0.01016 0.02308 0.003 26.415 0.27685 0.673636 -7.496264 0.056844 2.003032 0.073581
0 228.969 239.541 113.201 0.00238 0.00001 0.00136 0.0014 0.00408 0.01745 0.154 0.00942 0.0116 0.01234 0.02827 0.0042 24.547 0.305429 0.681811 -7.314237 0.006274 2.118596 0.091546
1 140.341 159.774 67.021 0.00817 0.00006 0.0043 0.0044 0.01289 0.03198 0.313 0.0183 0.0181 0.02428 0.0549 0.02183 19.56 0.460139 0.720908 -5.409423 0.22685 2.359973 0.226156
1 136.969 166.607 66.004 0.00923 0.00007 0.00507 0.00463 0.0152 0.03111 0.308 0.01638 0.01759 0.02603 0.04914 0.02659 19.979 0.498133 0.729067 -5.324574 0.20566 2.291558 0.226247
1 143.533 162.215 65.809 0.01101 0.00008 0.00647 0.00467 0.01941 0.05384 0.478 0.03152 0.02422 0.03392 0.09455 0.04882 20.338 0.513237 0.731444 -5.86975 0.151814 2.118496 0.18558
1 148.09 162.824 67.343 0.00762 0.00005 0.00467 0.00354 0.014 0.05428 0.497 0.03357 0.02494 0.03635 0.1007 0.02431 21.718 0.487407 0.727313 -6.261141 0.120956 2.137075 0.141958
1 142.729 162.408 65.476 0.00831 0.00006 0.00469 0.00419 0.01407 0.03485 0.365 0.01868 0.01906 0.02949 0.05605 0.02599 20.264 0.489345 0.730387 -5.720868 0.15883 2.277927 0.180828
1 136.358 176.595 65.75 0.00971 0.00007 0.00534 0.00478 0.01601 0.04978 0.483 0.02749 0.02466 0.03736 0.08247 0.03361 18.57 0.543299 0.733232 -5.207985 0.224852 2.642276 0.242981
1 120.08 139.71 111.208 0.00405 0.00003 0.0018 0.0022 0.0054 0.01706 0.152 0.00974 0.00925 0.01345 0.02921 0.00442 25.742 0.495954 0.762959 -5.79182 0.329066 2.205024 0.18818
1 112.014 588.518 107.024 0.00533 0.00005 0.00268 0.00329 0.00805 0.02448 0.226 0.01373 0.01375 0.01956 0.0412 0.00623 24.178 0.509127 0.789532 -5.389129 0.306636 1.928708 0.225461
1 110.793 128.101 107.316 0.00494 0.00004 0.0026 0.00283 0.0078 0.02442 0.216 0.01432 0.01325 0.01831 0.04295 0.00479 25.438 0.437031 0.815908 -5.31336 0.201861 2.225815 0.244512
1 110.707 122.611 105.007 0.00516 0.00005 0.00277 0.00289 0.00831 0.02215 0.206 0.01284 0.01219 0.01715 0.03851 0.00472 25.197 0.463514 0.807217 -5.477592 0.315074 1.862092 0.228624
1 112.876 148.826 106.981 0.005 0.00004 0.0027 0.00289 0.0081 0.03999 0.35 0.02413 0.02231 0.02704 0.07238 0.00905 23.37 0.489538 0.789977 -5.775966 0.341169 2.007923 0.193918
1 110.568 125.394 106.821 0.00462 0.00004 0.00226 0.0028 0.00677 0.02199 0.197 0.01284 0.01199 0.01636 0.03852 0.0042 25.82 0.429484 0.81634 -5.391029 0.250572 1.777901 0.232744
1 95.385 102.145 90.264 0.00608 0.00006 0.00331 0.00332 0.00994 0.03202 0.263 0.01803 0.01886 0.02455 0.05408 0.01062 21.875 0.644954 0.779612 -5.115212 0.249494 2.017753 0.260015
1 100.77 115.697 85.545 0.01038 0.0001 0.00622 0.00576 0.01865 0.03121 0.361 0.01773 0.01783 0.02139 0.0532 0.0222 19.2 0.594387 0.790117 -4.913885 0.265699 2.398422 0.277948
1 96.106 108.664 84.51 0.00694 0.00007 0.00389 0.00415 0.01168 0.04024 0.364 0.02266 0.02451 0.02876 0.06799 0.01823 19.055 0.544805 0.770466 -4.441519 0.155097 2.645959 0.327978
1 95.605 107.715 87.549 0.00702 0.00007 0.00428 0.00371 0.01283 0.03156 0.296 0.01792 0.01841 0.0219 0.05377 0.01825 19.659 0.576084 0.778747 -5.132032 0.210458 2.232576 0.260633
1 100.96 110.019 95.628 0.00606 0.00006 0.00351 0.00348 0.01053 0.02427 0.216 0.01371 0.01421 0.01751 0.04114 0.01237 20.536 0.55461 0.787896 -5.022288 0.146948 2.428306 0.264666
1 98.804 102.305 87.804 0.00432 0.00004 0.00247 0.00258 0.00742 0.02223 0.202 0.01277 0.01343 0.01552 0.03831 0.00882 22.244 0.576644 0.772416 -6.025367 0.078202 2.053601 0.177275
1 176.858 205.56 75.344 0.00747 0.00004 0.00418 0.0042 0.01254 0.04795 0.435 0.02679 0.03022 0.0351 0.08037 0.0547 13.893 0.556494 0.729586 -5.288912 0.343073 3.099301 0.242119
1 180.978 200.125 155.495 0.00406 0.00002 0.0022 0.00244 0.00659 0.03852 0.331 0.02107 0.02493 0.02877 0.06321 0.02782 16.176 0.583574 0.727747 -5.657899 0.315903 3.098256 0.200423
1 178.222 202.45 141.047 0.00321 0.00002 0.00163 0.00194 0.00488 0.03759 0.327 0.02073 0.02415 0.02784 0.06219 0.03151 15.924 0.598714 0.712199 -6.366916 0.335753 2.654271 0.144614
1 176.281 227.381 125.61 0.0052 0.00003 0.00287 0.00312 0.00862 0.06511 0.58 0.03671 0.04159 0.04683 0.11012 0.04824 13.922 0.602874 0.740837 -5.515071 0.299549 3.13655 0.220968
1 173.898 211.35 74.677 0.00448 0.00003 0.00237 0.00254 0.0071 0.06727 0.65 0.03788 0.04254 0.04802 0.11363 0.04214 14.739 0.599371 0.743937 -5.783272 0.299793 3.007096 0.194052
1 179.711 225.93 144.878 0.00709 0.00004 0.00391 0.00419 0.01172 0.04313 0.442 0.02297 0.02768 0.03455 0.06892 0.07223 11.866 0.590951 0.745526 -4.379411 0.375531 3.671155 0.332086
1 166.605 206.008 78.032 0.00742 0.00004 0.00387 0.00453 0.01161 0.0664 0.634 0.0365 0.04282 0.05114 0.10949 0.08725 11.744 0.65341 0.733165 -4.508984 0.389232 3.317586 0.301952
1 151.955 163.335 147.226 0.00419 0.00003 0.00224 0.00227 0.00672 0.07959 0.772 0.04421 0.04962 0.0569 0.13262 0.01658 19.664 0.501037 0.71436 -6.411497 0.207156 2.344876 0.13412
1 148.272 164.989 142.299 0.00459 0.00003 0.0025 0.00256 0.0075 0.0419 0.383 0.02383 0.02521 0.03051 0.0715 0.01914 18.78 0.454444 0.734504 -5.952058 0.08784 2.344336 0.186489
1 152.125 161.469 76.596 0.00382 0.00003 0.00191 0.00226 0.00574 0.05925 0.637 0.03341 0.03794 0.04398 0.10024 0.01211 20.969 0.447456 0.69779 -6.152551 0.17352 2.080121 0.160809
1 157.821 172.975 68.401 0.00358 0.00002 0.00196 0.00196 0.00587 0.03716 0.307 0.02062 0.02321 0.02764 0.06185 0.0085 22.219 0.50238 0.71217 -6.251425 0.188056 2.143851 0.160812
1 157.447 163.267 149.605 0.00369 0.00002 0.00201 0.00197 0.00602 0.03272 0.283 0.01813 0.01909 0.02571 0.05439 0.01018 21.693 0.447285 0.705658 -6.247076 0.180528 2.344348 0.164916
1 159.116 168.913 144.811 0.00342 0.00002 0.00178 0.00184 0.00535 0.03381 0.307 0.01806 0.02024 0.02809 0.05417 0.00852 22.663 0.366329 0.693429 -6.41744 0.194627 2.473239 0.151709
1 125.036 143.946 116.187 0.0128 0.0001 0.00743 0.00623 0.02228 0.03886 0.342 0.02135 0.02174 0.03088 0.06406 0.08151 15.338 0.629574 0.714485 -4.020042 0.265315 2.671825 0.340623
1 125.791 140.557 96.206 0.01378 0.00011 0.00826 0.00655 0.02478 0.04689 0.422 0.02542 0.0263 0.03908 0.07625 0.10323 15.433 0.57101 0.690892 -5.159169 0.202146 2.441612 0.260375
1 126.512 141.756 99.77 0.01936 0.00015 0.01159 0.0099 0.03476 0.06734 0.659 0.03611 0.03963 0.05783 0.10833 0.16744 12.435 0.638545 0.674953 -3.760348 0.242861 2.634633 0.378483
1 125.641 141.068 116.346 0.03316 0.00026 0.02144 0.01522 0.06433 0.09178 0.891 0.05358 0.04791 0.06196 0.16074 0.31482 8.867 0.671299 0.656846 -3.700544 0.260481 2.991063 0.370961
1 128.451 150.449 75.632 0.01551 0.00012 0.00905 0.00909 0.02716 0.0617 0.584 0.03223 0.03672 0.05174 0.09669 0.11843 15.06 0.639808 0.643327 -4.20273 0.310163 2.638279 0.356881
1 139.224 586.567 66.157 0.03011 0.00022 0.01854 0.01628 0.05563 0.09419 0.93 0.05551 0.05005 0.06023 0.16654 0.2593 10.489 0.596362 0.641418 -3.269487 0.270641 2.690917 0.444774
1 150.258 154.609 75.349 0.00248 0.00002 0.00105 0.00136 0.00315 0.01131 0.107 0.00522 0.00659 0.01009 0.01567 0.00495 26.759 0.296888 0.722356 -6.878393 0.089267 2.004055 0.113942
1 154.003 160.267 128.621 0.00183 0.00001 0.00076 0.001 0.00229 0.0103 0.094 0.00469 0.00582 0.00871 0.01406 0.00243 28.409 0.263654 0.691483 -7.111576 0.14478 2.065477 0.093193
1 149.689 160.368 133.608 0.00257 0.00002 0.00116 0.00134 0.00349 0.01346 0.126 0.0066 0.00818 0.01059 0.01979 0.00578 27.421 0.365488 0.719974 -6.997403 0.210279 1.994387 0.112878
1 155.078 163.736 144.148 0.00168 0.00001 0.00068 0.00092 0.00204 0.01064 0.097 0.00522 0.00632 0.00928 0.01567 0.00233 29.746 0.334171 0.67793 -6.981201 0.18455 2.129924 0.106802
1 151.884 157.765 133.751 0.00258 0.00002 0.00115 0.00122 0.00346 0.0145 0.137 0.00633 0.00788 0.01267 0.01898 0.00659 26.833 0.393563 0.700246 -6.600023 0.249172 2.499148 0.105306
1 151.989 157.339 132.857 0.00174 0.00001 0.00075 0.00096 0.00225 0.01024 0.093 0.00455 0.00576 0.00993 0.01364 0.00238 29.928 0.311369 0.676066 -6.739151 0.160686 2.296873 0.11513
1 193.03 208.9 80.297 0.00766 0.00004 0.0045 0.00389 0.01351 0.03044 0.275 0.01771 0.01815 0.02084 0.05312 0.00947 21.934 0.497554 0.740539 -5.845099 0.278679 2.608749 0.185668
1 200.714 223.982 89.686 0.00621 0.00003 0.00371 0.00337 0.01112 0.02286 0.207 0.01192 0.01439 0.01852 0.03576 0.00704 23.239 0.436084 0.727863 -5.25832 0.256454 2.550961 0.23252
1 208.519 220.315 199.02 0.00609 0.00003 0.00368 0.00339 0.01105 0.01761 0.155 0.00952 0.01058 0.01307 0.02855 0.0083 22.407 0.338097 0.712466 -6.471427 0.184378 2.502336 0.13639
1 204.664 221.3 189.621 0.00841 0.00004 0.00502 0.00485 0.01506 0.02378 0.21 0.01277 0.01483 0.01767 0.03831 0.01316 21.305 0.498877 0.722085 -4.876336 0.212054 2.376749 0.268144
1 210.141 232.706 185.258 0.00534 0.00003 0.00321 0.0028 0.00964 0.0168 0.149 0.00861 0.01017 0.01301 0.02583 0.0062 23.671 0.441097 0.722254 -5.96304 0.250283 2.489191 0.177807
1 206.327 226.355 92.02 0.00495 0.00002 0.00302 0.00246 0.00905 0.02105 0.209 0.01107 0.01284 0.01604 0.0332 0.01048 21.864 0.331508 0.715121 -6.729713 0.181701 2.938114 0.115515
1 151.872 492.892 69.085 0.00856 0.00006 0.00404 0.00385 0.01211 0.01843 0.235 0.00796 0.00832 0.01271 0.02389 0.06051 23.693 0.407701 0.662668 -4.673241 0.261549 2.702355 0.274407
1 158.219 442.557 71.948 0.00476 0.00003 0.00214 0.00207 0.00642 0.01458 0.148 0.00606 0.00747 0.01312 0.01818 0.01554 26.356 0.450798 0.653823 -6.051233 0.27328 2.640798 0.170106
1 170.756 450.247 79.032 0.00555 0.00003 0.00244 0.00261 0.00731 0.01725 0.175 0.00757 0.00971 0.01652 0.0227 0.01802 25.69 0.486738 0.676023 -4.597834 0.372114 2.975889 0.28278
1 178.285 442.824 82.063 0.00462 0.00003 0.00157 0.00194 0.00472 0.01279 0.129 0.00617 0.00744 0.01151 0.01851 0.00856 25.02 0.470422 0.655239 -4.913137 0.393056 2.816781 0.251972
1 217.116 233.481 93.978 0.00404 0.00002 0.00127 0.00128 0.00381 0.01299 0.124 0.00679 0.00631 0.01075 0.02038 0.00681 24.581 0.462516 0.58271 -5.517173 0.389295 2.925862 0.220657
1 128.94 479.697 88.251 0.00581 0.00005 0.00241 0.00314 0.00723 0.02008 0.221 0.00849 0.01117 0.01734 0.02548 0.0235 24.743 0.487756 0.68413 -6.186128 0.279933 2.68624 0.152428
1 176.824 215.293 83.961 0.0046 0.00003 0.00209 0.00221 0.00628 0.01169 0.117 0.00534 0.0063 0.01104 0.01603 0.01161 27.166 0.400088 0.656182 -4.711007 0.281618 2.655744 0.234809
1 138.19 203.522 83.34 0.00704 0.00005 0.00406 0.00398 0.01218 0.04479 0.441 0.02587 0.02567 0.0322 0.07761 0.01968 18.305 0.538016 0.74148 -5.418787 0.160267 2.090438 0.229892
1 182.018 197.173 79.187 0.00842 0.00005 0.00506 0.00449 0.01517 0.02503 0.231 0.01372 0.0158 0.01931 0.04115 0.01813 18.784 0.589956 0.732903 -5.44514 0.142466 2.174306 0.215558
1 156.239 195.107 79.82 0.00694 0.00004 0.00403 0.00395 0.01209 0.02343 0.224 0.01289 0.0142 0.0172 0.03867 0.0202 19.196 0.618663 0.728421 -5.944191 0.143359 1.929715 0.181988
1 145.174 198.109 80.637 0.00733 0.00005 0.00414 0.00422 0.01242 0.02362 0.233 0.01235 0.01495 0.01944 0.03706 0.01874 18.857 0.637518 0.735546 -5.594275 0.12795 1.765957 0.222716
1 138.145 197.238 81.114 0.00544 0.00004 0.00294 0.00327 0.00883 0.02791 0.246 0.01484 0.01805 0.02259 0.04451 0.01794 18.178 0.623209 0.738245 -5.540351 0.087165 1.821297 0.214075
1 166.888 198.966 79.512 0.00638 0.00004 0.00368 0.00351 0.01104 0.02857 0.257 0.01547 0.01859 0.02301 0.04641 0.01796 18.33 0.585169 0.736964 -5.825257 0.115697 1.996146 0.196535
1 119.031 127.533 109.216 0.0044 0.00004 0.00214 0.00192 0.00641 0.01033 0.098 0.00538 0.0057 0.00811 0.01614 0.01724 26.842 0.457541 0.699787 -6.890021 0.152941 2.328513 0.112856
1 120.078 126.632 105.667 0.0027 0.00002 0.00116 0.00135 0.00349 0.01022 0.09 0.00476 0.00588 0.00903 0.01428 0.00487 26.369 0.491345 0.718839 -5.892061 0.195976 2.108873 0.183572
1 120.289 128.143 100.209 0.00492 0.00004 0.00269 0.00238 0.00808 0.01412 0.125 0.00703 0.0082 0.01194 0.0211 0.0161 23.949 0.46716 0.724045 -6.135296 0.20363 2.539724 0.169923
1 120.256 125.306 104.773 0.00407 0.00003 0.00224 0.00205 0.00671 0.01516 0.138 0.00721 0.00815 0.0131 0.02164 0.01015 26.017 0.468621 0.735136 -6.112667 0.217013 2.527742 0.170633
1 119.056 125.213 86.795 0.00346 0.00003 0.00169 0.0017 0.00508 0.01201 0.106 0.00633 0.00701 0.00915 0.01898 0.00903 23.389 0.470972 0.721308 -5.436135 0.254909 2.51632 0.232209
1 118.747 123.723 109.836 0.00331 0.00003 0.00168 0.00171 0.00504 0.01043 0.099 0.0049 0.00621 0.00903 0.01471 0.00504 25.619 0.482296 0.723096 -6.448134 0.178713 2.034827 0.141422
1 106.516 112.777 93.105 0.00589 0.00006 0.00291 0.00319 0.00873 0.04932 0.441 0.02683 0.03112 0.03651 0.0805 0.03031 17.06 0.637814 0.744064 -5.301321 0.320385 2.375138 0.24308
1 110.453 127.611 105.554 0.00494 0.00004 0.00244 0.00315 0.00731 0.04128 0.379 0.02229 0.02592 0.03316 0.06688 0.02529 17.707 0.653427 0.706687 -5.333619 0.322044 2.631793 0.228319
1 113.4 133.344 107.816 0.00451 0.00004 0.00219 0.00283 0.00658 0.04879 0.431 0.02385 0.02973 0.0437 0.07154 0.02278 19.013 0.6479 0.708144 -4.378916 0.300067 2.445502 0.259451
1 113.166 130.27 100.673 0.00502 0.00004 0.00257 0.00312 0.00772 0.05279 0.476 0.02896 0.03347 0.04134 0.08689 0.0369 16.747 0.625362 0.708617 -4.654894 0.304107 2.672362 0.274387
1 112.239 126.609 104.095 0.00472 0.00004 0.00238 0.0029 0.00715 0.05643 0.517 0.0307 0.0353 0.04451 0.09211 0.02629 17.366 0.640945 0.701404 -5.634576 0.306014 2.419253 0.209191
1 116.15 131.731 109.815 0.00381 0.00003 0.00181 0.00232 0.00542 0.03026 0.267 0.01514 0.01812 0.0277 0.04543 0.01827 18.801 0.624811 0.696049 -5.866357 0.23307 2.445646 0.184985
1 170.368 268.796 79.543 0.00571 0.00003 0.00232 0.00269 0.00696 0.03273 0.281 0.01713 0.01964 0.02824 0.05139 0.02485 18.54 0.677131 0.685057 -4.796845 0.397749 2.963799 0.277227
1 208.083 253.792 91.802 0.00757 0.00004 0.00428 0.00428 0.01285 0.06725 0.571 0.04016 0.04003 0.04464 0.12047 0.04238 15.648 0.606344 0.665945 -5.410336 0.288917 2.665133 0.231723
1 198.458 219.29 148.691 0.00376 0.00002 0.00182 0.00215 0.00546 0.03527 0.297 0.02055 0.02076 0.0253 0.06165 0.01728 18.702 0.606273 0.661735 -5.585259 0.310746 2.465528 0.209863
1 202.805 231.508 86.232 0.0037 0.00002 0.00189 0.00211 0.00568 0.01997 0.18 0.01117 0.01177 0.01506 0.0335 0.0201 18.687 0.536102 0.632631 -5.898673 0.213353 2.470746 0.189032
1 202.544 241.35 164.168 0.00254 0.00001 0.001 0.00133 0.00301 0.02662 0.228 0.01475 0.01558 0.02006 0.04426 0.01049 20.68 0.49748 0.630409 -6.132663 0.220617 2.576563 0.159777
1 223.361 263.872 87.638 0.00352 0.00002 0.00169 0.00188 0.00506 0.02536 0.225 0.01379 0.01478 0.01909 0.04137 0.01493 20.366 0.566849 0.574282 -5.456811 0.345238 2.840556 0.232861
1 169.774 191.759 151.451 0.01568 0.00009 0.00863 0.00946 0.02589 0.08143 0.821 0.03804 0.05426 0.08808 0.11411 0.0753 12.359 0.56161 0.793509 -3.297668 0.414758 3.413649 0.457533
1 183.52 216.814 161.34 0.01466 0.00008 0.00849 0.00819 0.02546 0.0605 0.618 0.02865 0.04101 0.06359 0.08595 0.06057 14.367 0.478024 0.768974 -4.276605 0.355736 3.142364 0.336085
1 188.62 216.302 165.982 0.01719 0.00009 0.00996 0.01027 0.02987 0.07118 0.722 0.03474 0.0458 0.06824 0.10422 0.08069 12.298 0.55287 0.764036 -3.377325 0.335357 3.274865 0.418646
1 202.632 565.74 177.258 0.01627 0.00008 0.00919 0.00963 0.02756 0.0717 0.833 0.03515 0.04265 0.0646 0.10546 0.07889 14.989 0.427627 0.775708 -4.892495 0.262281 2.910213 0.270173
1 186.695 211.961 149.442 0.01872 0.0001 0.01075 0.01154 0.03225 0.0583 0.784 0.02699 0.03714 0.06259 0.08096 0.10952 12.529 0.507826 0.762726 -4.484303 0.340256 2.958815 0.301487
1 192.818 224.429 168.793 0.03107 0.00016 0.018 0.01958 0.05401 0.11908 1.302 0.05647 0.0794 0.13778 0.16942 0.21713 8.441 0.625866 0.76832 -2.434031 0.450493 3.079221 0.527367
1 198.116 233.099 174.478 0.02714 0.00014 0.01568 0.01699 0.04705 0.08684 1.018 0.04284 0.05556 0.08318 0.12851 0.16265 9.449 0.584164 0.754449 -2.839756 0.356224 3.184027 0.454721
1 121.345 139.644 98.25 0.00684 0.00006 0.00388 0.00332 0.01164 0.02534 0.241 0.0134 0.01399 0.02056 0.04019 0.04179 21.52 0.566867 0.670475 -4.865194 0.246404 2.01353 0.168581
1 119.1 128.442 88.833 0.00692 0.00006 0.00393 0.003 0.01179 0.02682 0.236 0.01484 0.01405 0.02018 0.04451 0.04611 21.824 0.65168 0.659333 -4.239028 0.175691 2.45113 0.247455
1 117.87 127.349 95.654 0.00647 0.00005 0.00356 0.003 0.01067 0.03087 0.276 0.01659 0.01804 0.02402 0.04977 0.02631 22.431 0.6283 0.652025 -3.583722 0.207914 2.439597 0.206256
1 122.336 142.369 94.794 0.00727 0.00006 0.00415 0.00339 0.01246 0.02293 0.223 0.01205 0.01289 0.01771 0.03615 0.03191 22.953 0.611679 0.623731 -5.4351 0.230532 2.699645 0.220546
1 117.963 134.209 100.757 0.01813 0.00015 0.01117 0.00718 0.03351 0.04912 0.438 0.0261 0.02161 0.02916 0.0783 0.10748 19.075 0.630547 0.646786 -3.444478 0.303214 2.964568 0.261305
1 126.144 154.284 97.543 0.00975 0.00008 0.00593 0.00454 0.01778 0.02852 0.266 0.015 0.01581 0.02157 0.04499 0.03828 21.534 0.635015 0.627337 -5.070096 0.280091 2.8923 0.249703
1 127.93 138.752 112.173 0.00605 0.00005 0.00321 0.00318 0.00962 0.03235 0.339 0.0136 0.0165 0.03105 0.04079 0.02663 19.651 0.654945 0.675865 -5.498456 0.234196 2.103014 0.216638
1 114.238 124.393 77.022 0.00581 0.00005 0.00299 0.00316 0.00896 0.04009 0.406 0.01579 0.01994 0.04114 0.04736 0.02073 20.437 0.653139 0.694571 -5.185987 0.259229 2.151121 0.244948
1 115.322 135.738 107.802 0.00619 0.00005 0.00352 0.00329 0.01057 0.03273 0.325 0.01644 0.01722 0.02931 0.04933 0.0281 19.388 0.577802 0.684373 -5.283009 0.226528 2.442906 0.238281
1 114.554 126.778 91.121 0.00651 0.00006 0.00366 0.0034 0.01097 0.03658 0.369 0.01864 0.0194 0.03091 0.05592 0.02707 18.954 0.685151 0.719576 -5.529833 0.24275 2.408689 0.22052
1 112.15 131.669 97.527 0.00519 0.00005 0.00291 0.00284 0.00873 0.01756 0.155 0.00967 0.01033 0.01363 0.02902 0.01435 21.219 0.557045 0.673086 -5.617124 0.184896 1.871871 0.212386
1 102.273 142.83 85.902 0.00907 0.00009 0.00493 0.00461 0.0148 0.02814 0.272 0.01579 0.01553 0.02073 0.04736 0.03882 18.447 0.671378 0.674562 -2.929379 0.396746 2.560422 0.367233
0 236.2 244.663 102.137 0.00277 0.00001 0.00154 0.00153 0.00462 0.02448 0.217 0.0141 0.01426 0.01621 0.04231 0.0062 24.078 0.469928 0.628232 -6.816086 0.17227 2.235197 0.119652
0 237.323 243.709 229.256 0.00303 0.00001 0.00173 0.00159 0.00519 0.01242 0.116 0.00696 0.00747 0.00882 0.02089 0.00533 24.679 0.384868 0.62671 -7.018057 0.176316 1.852402 0.091604
0 260.105 264.919 237.303 0.00339 0.00001 0.00205 0.00186 0.00616 0.0203 0.197 0.01186 0.0123 0.01367 0.03557 0.0091 21.083 0.440988 0.628058 -7.517934 0.160414 1.881767 0.075587
0 197.569 217.627 90.794 0.00803 0.00004 0.0049 0.00448 0.0147 0.02177 0.189 0.01279 0.01272 0.01439 0.03836 0.01337 19.269 0.372222 0.725216 -5.736781 0.164529 2.88245 0.202879
0 240.301 245.135 219.783 0.00517 0.00002 0.00316 0.00283 0.00949 0.02018 0.212 0.01176 0.01191 0.01344 0.03529 0.00965 21.02 0.371837 0.646167 -7.169701 0.073298 2.266432 0.100881
0 244.99 272.21 239.17 0.00451 0.00002 0.00279 0.00237 0.00837 0.01897 0.181 0.01084 0.01121 0.01255 0.03253 0.01049 21.528 0.522812 0.646818 -7.3045 0.171088 2.095237 0.09622
0 112.547 133.374 105.715 0.00355 0.00003 0.00166 0.0019 0.00499 0.01358 0.129 0.00664 0.00786 0.0114 0.01992 0.00435 26.436 0.413295 0.7567 -6.323531 0.218885 2.193412 0.160376
0 110.739 113.597 100.139 0.00356 0.00003 0.0017 0.002 0.0051 0.01484 0.133 0.00754 0.0095 0.01285 0.02261 0.0043 26.55 0.36909 0.776158 -6.085567 0.192375 1.889002 0.174152
0 113.715 116.443 96.913 0.00349 0.00003 0.00171 0.00203 0.00514 0.01472 0.133 0.00748 0.00905 0.01148 0.02245 0.00478 26.547 0.380253 0.7667 -5.943501 0.19215 1.852542 0.179677
0 117.004 144.466 99.923 0.00353 0.00003 0.00176 0.00218 0.00528 0.01657 0.145 0.00881 0.01062 0.01318 0.02643 0.0059 25.445 0.387482 0.756482 -6.012559 0.229298 1.872946 0.163118
0 115.38 123.109 108.634 0.00332 0.00003 0.0016 0.00199 0.0048 0.01503 0.137 0.00812 0.00933 0.01133 0.02436 0.00401 26.005 0.405991 0.761255 -5.966779 0.197938 1.974857 0.184067
0 116.388 129.038 108.97 0.00346 0.00003 0.00169 0.00213 0.00507 0.01725 0.155 0.00874 0.01021 0.01331 0.02623 0.00415 26.143 0.361232 0.763242 -6.016891 0.109256 2.004719 0.174429
1 151.737 190.204 129.859 0.00314 0.00002 0.00135 0.00162 0.00406 0.01469 0.132 0.00728 0.00886 0.0123 0.02184 0.0057 24.151 0.39661 0.745957 -6.486822 0.197919 2.449763 0.132703
1 148.79 158.359 138.99 0.00309 0.00002 0.00152 0.00186 0.00456 0.01574 0.142 0.00839 0.00956 0.01309 0.02518 0.00488 24.412 0.402591 0.762508 -6.311987 0.182459 2.251553 0.160306
1 148.143 155.982 135.041 0.00392 0.00003 0.00204 0.00231 0.00612 0.0145 0.131 0.00725 0.00876 0.01263 0.02175 0.0054 23.683 0.398499 0.778349 -5.711205 0.240875 2.845109 0.19273
1 150.44 163.441 144.736 0.00396 0.00003 0.00206 0.00233 0.00619 0.02551 0.237 0.01321 0.01574 0.02148 0.03964 0.00611 23.133 0.352396 0.75932 -6.261446 0.183218 2.264226 0.144105
1 148.462 161.078 141.998 0.00397 0.00003 0.00202 0.00235 0.00605 0.01831 0.163 0.0095 0.01103 0.01559 0.02849 0.00639 22.866 0.408598 0.768845 -5.704053 0.216204 2.679185 0.19771
1 149.818 163.417 144.786 0.00336 0.00002 0.00174 0.00198 0.00521 0.02145 0.198 0.01155 0.01341 0.01666 0.03464 0.00595 23.008 0.329577 0.75718 -6.27717 0.109397 2.209021 0.156368
0 117.226 123.925 106.656 0.00417 0.00004 0.00186 0.0027 0.00558 0.01909 0.171 0.00864 0.01223 0.01949 0.02592 0.00955 23.079 0.603515 0.669565 -5.61907 0.191576 2.027228 0.215724
0 116.848 217.552 99.503 0.00531 0.00005 0.0026 0.00346 0.0078 0.01795 0.163 0.0081 0.01144 0.01756 0.02429 0.01179 22.085 0.663842 0.656516 -5.198864 0.206768 2.120412 0.252404
0 116.286 177.291 96.983 0.00314 0.00003 0.00134 0.00192 0.00403 0.01564 0.136 0.00667 0.0099 0.01691 0.02001 0.00737 24.199 0.598515 0.654331 -5.592584 0.133917 2.058658 0.214346
0 116.556 592.03 86.228 0.00496 0.00004 0.00254 0.00263 0.00762 0.0166 0.154 0.0082 0.00972 0.01491 0.0246 0.01397 23.958 0.566424 0.667654 -6.431119 0.15331 2.161936 0.120605
0 116.342 581.289 94.246 0.00267 0.00002 0.00115 0.00148 0.00345 0.013 0.117 0.00631 0.00789 0.01144 0.01892 0.0068 25.023 0.528485 0.663884 -6.359018 0.116636 2.152083 0.138868
0 114.563 119.167 86.647 0.00327 0.00003 0.00146 0.00184 0.00439 0.01185 0.106 0.00557 0.00721 0.01095 0.01672 0.00703 24.775 0.555303 0.659132 -6.710219 0.149694 1.91399 0.121777
0 201.774 262.707 78.228 0.00694 0.00003 0.00412 0.00396 0.01235 0.02574 0.255 0.01454 0.01582 0.01758 0.04363 0.04441 19.368 0.508479 0.683761 -6.934474 0.15989 2.316346 0.112838
0 174.188 230.978 94.261 0.00459 0.00003 0.00263 0.00259 0.0079 0.04087 0.405 0.02336 0.02498 0.02745 0.07008 0.02764 19.517 0.448439 0.657899 -6.538586 0.121952 2.657476 0.13305
0 209.516 253.017 89.488 0.00564 0.00003 0.00331 0.00292 0.00994 0.02751 0.263 0.01604 0.01657 0.01879 0.04812 0.0181 19.147 0.431674 0.683244 -6.195325 0.129303 2.784312 0.168895
0 174.688 240.005 74.287 0.0136 0.00008 0.00624 0.00564 0.01873 0.02308 0.256 0.01268 0.01365 0.01667 0.03804 0.10715 17.883 0.407567 0.655683 -6.787197 0.158453 2.679772 0.131728
0 198.764 396.961 74.904 0.0074 0.00004 0.0037 0.0039 0.01109 0.02296 0.241 0.01265 0.01321 0.01588 0.03794 0.07223 19.02 0.451221 0.643956 -6.744577 0.207454 2.138608 0.123306
0 214.289 260.277 77.973 0.00567 0.00003 0.00295 0.00317 0.00885 0.01884 0.19 0.01026 0.01161 0.01373 0.03078 0.04398 21.209 0.462803 0.664357 -5.724056 0.190667 2.555477 0.148569

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time13 seconds
R Server'Sir Maurice George Kendall' @ kendall.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 & 13 seconds \tabularnewline
R Server & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=285537&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]13 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=285537&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=285537&T=0

As an alternative you can also use a QR Code:  
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 time13 seconds
R Server'Sir Maurice George Kendall' @ kendall.wessa.net






Multiple Linear Regression - Estimated Regression Equation
status[t] = + 2.22477 -0.00238441`MDVP:Fo(Hz)`[t] -0.00011523`MDVP:Fhi(Hz)`[t] -0.0015351`MDVP:Flo(Hz)`[t] -176.913`MDVP:Jitter(%)`[t] -3321.64`MDVP:Jitter(Abs)`[t] -759.215`MDVP:RAP`[t] -36.1351`MDVP:PPQ`[t] + 360.584`Jitter:DDP`[t] + 27.4496`MDVP:Shimmer`[t] + 0.571023`MDVP:Shimmer(dB)`[t] -871.24`Shimmer:APQ3`[t] -26.3959`Shimmer:APQ5`[t] -3.07476`MDVP:APQ`[t] + 283.748`Shimmer:DDA`[t] -2.52562NHR[t] -0.0156926HNR[t] -1.01446RPDE[t] + 0.355145DFA[t] + 0.127298spread1[t] + 1.26558spread2[t] + 0.0494602D2[t] + 1.26346PPE[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
status[t] =  +  2.22477 -0.00238441`MDVP:Fo(Hz)`[t] -0.00011523`MDVP:Fhi(Hz)`[t] -0.0015351`MDVP:Flo(Hz)`[t] -176.913`MDVP:Jitter(%)`[t] -3321.64`MDVP:Jitter(Abs)`[t] -759.215`MDVP:RAP`[t] -36.1351`MDVP:PPQ`[t] +  360.584`Jitter:DDP`[t] +  27.4496`MDVP:Shimmer`[t] +  0.571023`MDVP:Shimmer(dB)`[t] -871.24`Shimmer:APQ3`[t] -26.3959`Shimmer:APQ5`[t] -3.07476`MDVP:APQ`[t] +  283.748`Shimmer:DDA`[t] -2.52562NHR[t] -0.0156926HNR[t] -1.01446RPDE[t] +  0.355145DFA[t] +  0.127298spread1[t] +  1.26558spread2[t] +  0.0494602D2[t] +  1.26346PPE[t]  + e[t] \tabularnewline
 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=285537&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]status[t] =  +  2.22477 -0.00238441`MDVP:Fo(Hz)`[t] -0.00011523`MDVP:Fhi(Hz)`[t] -0.0015351`MDVP:Flo(Hz)`[t] -176.913`MDVP:Jitter(%)`[t] -3321.64`MDVP:Jitter(Abs)`[t] -759.215`MDVP:RAP`[t] -36.1351`MDVP:PPQ`[t] +  360.584`Jitter:DDP`[t] +  27.4496`MDVP:Shimmer`[t] +  0.571023`MDVP:Shimmer(dB)`[t] -871.24`Shimmer:APQ3`[t] -26.3959`Shimmer:APQ5`[t] -3.07476`MDVP:APQ`[t] +  283.748`Shimmer:DDA`[t] -2.52562NHR[t] -0.0156926HNR[t] -1.01446RPDE[t] +  0.355145DFA[t] +  0.127298spread1[t] +  1.26558spread2[t] +  0.0494602D2[t] +  1.26346PPE[t]  + e[t][/C][/ROW]
[ROW][C][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=285537&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=285537&T=1

As an alternative you can also use a QR Code:  
QR Code


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

Multiple Linear Regression - Estimated Regression Equation
status[t] = + 2.22477 -0.00238441`MDVP:Fo(Hz)`[t] -0.00011523`MDVP:Fhi(Hz)`[t] -0.0015351`MDVP:Flo(Hz)`[t] -176.913`MDVP:Jitter(%)`[t] -3321.64`MDVP:Jitter(Abs)`[t] -759.215`MDVP:RAP`[t] -36.1351`MDVP:PPQ`[t] + 360.584`Jitter:DDP`[t] + 27.4496`MDVP:Shimmer`[t] + 0.571023`MDVP:Shimmer(dB)`[t] -871.24`Shimmer:APQ3`[t] -26.3959`Shimmer:APQ5`[t] -3.07476`MDVP:APQ`[t] + 283.748`Shimmer:DDA`[t] -2.52562NHR[t] -0.0156926HNR[t] -1.01446RPDE[t] + 0.355145DFA[t] + 0.127298spread1[t] + 1.26558spread2[t] + 0.0494602D2[t] + 1.26346PPE[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)+2.225 1.158+1.9210e+00 0.05644 0.02822
`MDVP:Fo(Hz)`-0.002384 0.00151-1.5790e+00 0.1162 0.05808
`MDVP:Fhi(Hz)`-0.0001152 0.0003211-3.5890e-01 0.7201 0.3601
`MDVP:Flo(Hz)`-0.001535 0.0008023-1.9130e+00 0.05737 0.02868
`MDVP:Jitter(%)`-176.9 67.03-2.6390e+00 0.009069 0.004535
`MDVP:Jitter(Abs)`-3322 4626-7.1810e-01 0.4737 0.2368
`MDVP:RAP`-759.2 9332-8.1360e-02 0.9353 0.4676
`MDVP:PPQ`-36.13 88.38-4.0880e-01 0.6832 0.3416
`Jitter:DDP`+360.6 3112+1.1590e-01 0.9079 0.4539
`MDVP:Shimmer`+27.45 34.28+8.0070e-01 0.4244 0.2122
`MDVP:Shimmer(dB)`+0.571 1.199+4.7610e-01 0.6346 0.3173
`Shimmer:APQ3`-871.2 8972-9.7100e-02 0.9228 0.4614
`Shimmer:APQ5`-26.4 20.12-1.3120e+00 0.1914 0.09568
`MDVP:APQ`-3.075 10.89-2.8230e-01 0.778 0.389
`Shimmer:DDA`+283.8 2990+9.4900e-02 0.9245 0.4623
NHR-2.526 1.981-1.2750e+00 0.204 0.102
HNR-0.01569 0.01434-1.0940e+00 0.2754 0.1377
RPDE-1.014 0.4395-2.3080e+00 0.02219 0.01109
DFA+0.3551 0.7394+4.8030e-01 0.6316 0.3158
spread1+0.1273 0.0979+1.3000e+00 0.1952 0.09762
spread2+1.266 0.478+2.6480e+00 0.008859 0.00443
D2+0.04946 0.1143+4.3260e-01 0.6658 0.3329
PPE+1.264 1.383+9.1330e-01 0.3623 0.1812

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Ordinary Least Squares \tabularnewline
Variable & Parameter & S.D. & T-STATH0: parameter = 0 & 2-tail p-value & 1-tail p-value \tabularnewline
(Intercept) & +2.225 &  1.158 & +1.9210e+00 &  0.05644 &  0.02822 \tabularnewline
`MDVP:Fo(Hz)` & -0.002384 &  0.00151 & -1.5790e+00 &  0.1162 &  0.05808 \tabularnewline
`MDVP:Fhi(Hz)` & -0.0001152 &  0.0003211 & -3.5890e-01 &  0.7201 &  0.3601 \tabularnewline
`MDVP:Flo(Hz)` & -0.001535 &  0.0008023 & -1.9130e+00 &  0.05737 &  0.02868 \tabularnewline
`MDVP:Jitter(%)` & -176.9 &  67.03 & -2.6390e+00 &  0.009069 &  0.004535 \tabularnewline
`MDVP:Jitter(Abs)` & -3322 &  4626 & -7.1810e-01 &  0.4737 &  0.2368 \tabularnewline
`MDVP:RAP` & -759.2 &  9332 & -8.1360e-02 &  0.9353 &  0.4676 \tabularnewline
`MDVP:PPQ` & -36.13 &  88.38 & -4.0880e-01 &  0.6832 &  0.3416 \tabularnewline
`Jitter:DDP` & +360.6 &  3112 & +1.1590e-01 &  0.9079 &  0.4539 \tabularnewline
`MDVP:Shimmer` & +27.45 &  34.28 & +8.0070e-01 &  0.4244 &  0.2122 \tabularnewline
`MDVP:Shimmer(dB)` & +0.571 &  1.199 & +4.7610e-01 &  0.6346 &  0.3173 \tabularnewline
`Shimmer:APQ3` & -871.2 &  8972 & -9.7100e-02 &  0.9228 &  0.4614 \tabularnewline
`Shimmer:APQ5` & -26.4 &  20.12 & -1.3120e+00 &  0.1914 &  0.09568 \tabularnewline
`MDVP:APQ` & -3.075 &  10.89 & -2.8230e-01 &  0.778 &  0.389 \tabularnewline
`Shimmer:DDA` & +283.8 &  2990 & +9.4900e-02 &  0.9245 &  0.4623 \tabularnewline
NHR & -2.526 &  1.981 & -1.2750e+00 &  0.204 &  0.102 \tabularnewline
HNR & -0.01569 &  0.01434 & -1.0940e+00 &  0.2754 &  0.1377 \tabularnewline
RPDE & -1.014 &  0.4395 & -2.3080e+00 &  0.02219 &  0.01109 \tabularnewline
DFA & +0.3551 &  0.7394 & +4.8030e-01 &  0.6316 &  0.3158 \tabularnewline
spread1 & +0.1273 &  0.0979 & +1.3000e+00 &  0.1952 &  0.09762 \tabularnewline
spread2 & +1.266 &  0.478 & +2.6480e+00 &  0.008859 &  0.00443 \tabularnewline
D2 & +0.04946 &  0.1143 & +4.3260e-01 &  0.6658 &  0.3329 \tabularnewline
PPE & +1.264 &  1.383 & +9.1330e-01 &  0.3623 &  0.1812 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=285537&T=2

[TABLE]
[ROW][C]Multiple Linear Regression - Ordinary Least Squares[/C][/ROW]
[ROW][C]Variable[/C][C]Parameter[/C][C]S.D.[/C][C]T-STATH0: parameter = 0[/C][C]2-tail p-value[/C][C]1-tail p-value[/C][/ROW]
[ROW][C](Intercept)[/C][C]+2.225[/C][C] 1.158[/C][C]+1.9210e+00[/C][C] 0.05644[/C][C] 0.02822[/C][/ROW]
[ROW][C]`MDVP:Fo(Hz)`[/C][C]-0.002384[/C][C] 0.00151[/C][C]-1.5790e+00[/C][C] 0.1162[/C][C] 0.05808[/C][/ROW]
[ROW][C]`MDVP:Fhi(Hz)`[/C][C]-0.0001152[/C][C] 0.0003211[/C][C]-3.5890e-01[/C][C] 0.7201[/C][C] 0.3601[/C][/ROW]
[ROW][C]`MDVP:Flo(Hz)`[/C][C]-0.001535[/C][C] 0.0008023[/C][C]-1.9130e+00[/C][C] 0.05737[/C][C] 0.02868[/C][/ROW]
[ROW][C]`MDVP:Jitter(%)`[/C][C]-176.9[/C][C] 67.03[/C][C]-2.6390e+00[/C][C] 0.009069[/C][C] 0.004535[/C][/ROW]
[ROW][C]`MDVP:Jitter(Abs)`[/C][C]-3322[/C][C] 4626[/C][C]-7.1810e-01[/C][C] 0.4737[/C][C] 0.2368[/C][/ROW]
[ROW][C]`MDVP:RAP`[/C][C]-759.2[/C][C] 9332[/C][C]-8.1360e-02[/C][C] 0.9353[/C][C] 0.4676[/C][/ROW]
[ROW][C]`MDVP:PPQ`[/C][C]-36.13[/C][C] 88.38[/C][C]-4.0880e-01[/C][C] 0.6832[/C][C] 0.3416[/C][/ROW]
[ROW][C]`Jitter:DDP`[/C][C]+360.6[/C][C] 3112[/C][C]+1.1590e-01[/C][C] 0.9079[/C][C] 0.4539[/C][/ROW]
[ROW][C]`MDVP:Shimmer`[/C][C]+27.45[/C][C] 34.28[/C][C]+8.0070e-01[/C][C] 0.4244[/C][C] 0.2122[/C][/ROW]
[ROW][C]`MDVP:Shimmer(dB)`[/C][C]+0.571[/C][C] 1.199[/C][C]+4.7610e-01[/C][C] 0.6346[/C][C] 0.3173[/C][/ROW]
[ROW][C]`Shimmer:APQ3`[/C][C]-871.2[/C][C] 8972[/C][C]-9.7100e-02[/C][C] 0.9228[/C][C] 0.4614[/C][/ROW]
[ROW][C]`Shimmer:APQ5`[/C][C]-26.4[/C][C] 20.12[/C][C]-1.3120e+00[/C][C] 0.1914[/C][C] 0.09568[/C][/ROW]
[ROW][C]`MDVP:APQ`[/C][C]-3.075[/C][C] 10.89[/C][C]-2.8230e-01[/C][C] 0.778[/C][C] 0.389[/C][/ROW]
[ROW][C]`Shimmer:DDA`[/C][C]+283.8[/C][C] 2990[/C][C]+9.4900e-02[/C][C] 0.9245[/C][C] 0.4623[/C][/ROW]
[ROW][C]NHR[/C][C]-2.526[/C][C] 1.981[/C][C]-1.2750e+00[/C][C] 0.204[/C][C] 0.102[/C][/ROW]
[ROW][C]HNR[/C][C]-0.01569[/C][C] 0.01434[/C][C]-1.0940e+00[/C][C] 0.2754[/C][C] 0.1377[/C][/ROW]
[ROW][C]RPDE[/C][C]-1.014[/C][C] 0.4395[/C][C]-2.3080e+00[/C][C] 0.02219[/C][C] 0.01109[/C][/ROW]
[ROW][C]DFA[/C][C]+0.3551[/C][C] 0.7394[/C][C]+4.8030e-01[/C][C] 0.6316[/C][C] 0.3158[/C][/ROW]
[ROW][C]spread1[/C][C]+0.1273[/C][C] 0.0979[/C][C]+1.3000e+00[/C][C] 0.1952[/C][C] 0.09762[/C][/ROW]
[ROW][C]spread2[/C][C]+1.266[/C][C] 0.478[/C][C]+2.6480e+00[/C][C] 0.008859[/C][C] 0.00443[/C][/ROW]
[ROW][C]D2[/C][C]+0.04946[/C][C] 0.1143[/C][C]+4.3260e-01[/C][C] 0.6658[/C][C] 0.3329[/C][/ROW]
[ROW][C]PPE[/C][C]+1.264[/C][C] 1.383[/C][C]+9.1330e-01[/C][C] 0.3623[/C][C] 0.1812[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=285537&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=285537&T=2

As an alternative you can also use a QR Code:  
QR Code


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

Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)+2.225 1.158+1.9210e+00 0.05644 0.02822
`MDVP:Fo(Hz)`-0.002384 0.00151-1.5790e+00 0.1162 0.05808
`MDVP:Fhi(Hz)`-0.0001152 0.0003211-3.5890e-01 0.7201 0.3601
`MDVP:Flo(Hz)`-0.001535 0.0008023-1.9130e+00 0.05737 0.02868
`MDVP:Jitter(%)`-176.9 67.03-2.6390e+00 0.009069 0.004535
`MDVP:Jitter(Abs)`-3322 4626-7.1810e-01 0.4737 0.2368
`MDVP:RAP`-759.2 9332-8.1360e-02 0.9353 0.4676
`MDVP:PPQ`-36.13 88.38-4.0880e-01 0.6832 0.3416
`Jitter:DDP`+360.6 3112+1.1590e-01 0.9079 0.4539
`MDVP:Shimmer`+27.45 34.28+8.0070e-01 0.4244 0.2122
`MDVP:Shimmer(dB)`+0.571 1.199+4.7610e-01 0.6346 0.3173
`Shimmer:APQ3`-871.2 8972-9.7100e-02 0.9228 0.4614
`Shimmer:APQ5`-26.4 20.12-1.3120e+00 0.1914 0.09568
`MDVP:APQ`-3.075 10.89-2.8230e-01 0.778 0.389
`Shimmer:DDA`+283.8 2990+9.4900e-02 0.9245 0.4623
NHR-2.526 1.981-1.2750e+00 0.204 0.102
HNR-0.01569 0.01434-1.0940e+00 0.2754 0.1377
RPDE-1.014 0.4395-2.3080e+00 0.02219 0.01109
DFA+0.3551 0.7394+4.8030e-01 0.6316 0.3158
spread1+0.1273 0.0979+1.3000e+00 0.1952 0.09762
spread2+1.266 0.478+2.6480e+00 0.008859 0.00443
D2+0.04946 0.1143+4.3260e-01 0.6658 0.3329
PPE+1.264 1.383+9.1330e-01 0.3623 0.1812






Multiple Linear Regression - Regression Statistics
Multiple R 0.702
R-squared 0.4927
Adjusted R-squared 0.4279
F-TEST (value) 7.595
F-TEST (DF numerator)22
F-TEST (DF denominator)172
p-value 4.441e-16
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation 0.3267
Sum Squared Residuals 18.35

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R &  0.702 \tabularnewline
R-squared &  0.4927 \tabularnewline
Adjusted R-squared &  0.4279 \tabularnewline
F-TEST (value) &  7.595 \tabularnewline
F-TEST (DF numerator) & 22 \tabularnewline
F-TEST (DF denominator) & 172 \tabularnewline
p-value &  4.441e-16 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation &  0.3267 \tabularnewline
Sum Squared Residuals &  18.35 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=285537&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C] 0.702[/C][/ROW]
[ROW][C]R-squared[/C][C] 0.4927[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C] 0.4279[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C] 7.595[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]22[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]172[/C][/ROW]
[ROW][C]p-value[/C][C] 4.441e-16[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C] 0.3267[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C] 18.35[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=285537&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=285537&T=3

As an alternative you can also use a QR Code:  
QR Code


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

Multiple Linear Regression - Regression Statistics
Multiple R 0.702
R-squared 0.4927
Adjusted R-squared 0.4279
F-TEST (value) 7.595
F-TEST (DF numerator)22
F-TEST (DF denominator)172
p-value 4.441e-16
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation 0.3267
Sum Squared Residuals 18.35






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
1 1 0.9436 0.05643
2 1 1.071-0.07059
3 1 0.9726 0.02739
4 1 1.078-0.07778
5 1 0.871 0.129
6 1 0.9495 0.05054
7 1 0.7934 0.2066
8 1 0.5807 0.4193
9 1 0.9746 0.0254
10 1 1.151-0.1509
11 1 1.112-0.1116
12 1 1.238-0.2381
13 1 0.4569 0.5431
14 1 0.8802 0.1198
15 1 0.7048 0.2952
16 1 0.7027 0.2973
17 1 0.5444 0.4556
18 1 1.323-0.3229
19 1 1.293-0.2934
20 1 0.9661 0.03394
21 1 1.066-0.06595
22 1 0.8905 0.1095
23 1 1.103-0.1034
24 1 0.8658 0.1342
25 1 0.8204 0.1796
26 1 0.9174 0.08259
27 1 0.804 0.196
28 1 0.7959 0.2041
29 1 0.6614 0.3386
30 1 0.6993 0.3007
31 0 0.2963-0.2963
32 0 0.1594-0.1594
33 0 0.1924-0.1924
34 0 0.1281-0.1281
35 0 0.08817-0.08817
36 0 0.2036-0.2036
37 1 0.8107 0.1893
38 1 0.8235 0.1765
39 1 0.596 0.404
40 1 0.7531 0.2469
41 1 0.6126 0.3874
42 1 0.4365 0.5635
43 0 0.2446-0.2446
44 0 0.2042-0.2042
45 0 0.01344-0.01344
46 0 0.08889-0.08889
47 0 0.05106-0.05106
48 0-0.04547 0.04547
49 0 0.3375-0.3375
50 0 0.4295-0.4295
51 0 0.4106-0.4106
52 0 0.4259-0.4259
53 0 0.4115-0.4115
54 0 0.5485-0.5485
55 1 0.8271 0.1729
56 1 0.7916 0.2084
57 1 0.8674 0.1326
58 1 0.7599 0.2401
59 1 0.7793 0.2207
60 1 0.6508 0.3492
61 0 0.3698-0.3698
62 0 0.2747-0.2747
63 0 0.2645-0.2645
64 0 0.2136-0.2136
65 0 0.1283-0.1283
66 0 0.2823-0.2823
67 1 0.9148 0.08522
68 1 0.8891 0.1109
69 1 0.9223 0.07775
70 1 0.9424 0.05763
71 1 0.8508 0.1492
72 1 1.093-0.093
73 1 0.8872 0.1128
74 1 0.9229 0.07706
75 1 1.042-0.04227
76 1 1.079-0.07861
77 1 1.099-0.09858
78 1 1-0.0004833
79 1 0.9611 0.03887
80 1 1.141-0.1413
81 1 1.18-0.1801
82 1 1.135-0.1352
83 1 1.014-0.01365
84 1 0.696 0.304
85 1 1.088-0.08754
86 1 0.8715 0.1285
87 1 0.7031 0.2969
88 1 0.9446 0.05536
89 1 0.9903 0.009659
90 1 1.225-0.2253
91 1 1.144-0.1445
92 1 0.7975 0.2025
93 1 0.7337 0.2663
94 1 0.8533 0.1467
95 1 0.7886 0.2114
96 1 0.7577 0.2423
97 1 0.803 0.197
98 1 1.027-0.0269
99 1 0.7997 0.2003
100 1 0.8971 0.1029
101 1 0.9639 0.03615
102 1 0.9738 0.0262
103 1 0.9889 0.01108
104 1 0.5858 0.4142
105 1 0.5807 0.4193
106 1 0.5673 0.4327
107 1 0.5353 0.4647
108 1 0.6901 0.3099
109 1 0.6174 0.3826
110 1 0.8984 0.1016
111 1 1.035-0.03499
112 1 0.59 0.41
113 1 0.8016 0.1984
114 1 0.6989 0.3011
115 1 0.8022 0.1978
116 1 0.8851 0.1149
117 1 0.7289 0.2711
118 1 1.052-0.05186
119 1 0.8861 0.1139
120 1 0.7616 0.2384
121 1 0.5515 0.4485
122 1 0.9736 0.02637
123 1 0.9728 0.02715
124 1 0.7106 0.2894
125 1 0.6182 0.3818
126 1 0.6246 0.3754
127 1 0.6126 0.3874
128 1 0.6276 0.3724
129 1 0.4149 0.5851
130 1 0.7652 0.2348
131 1 0.8031 0.1969
132 1 0.875 0.125
133 1 1.053-0.05332
134 1 0.647 0.353
135 1 0.9633 0.03672
136 1 0.9615 0.03848
137 1 1.146-0.1464
138 1 1.151-0.1506
139 1 0.9598 0.04025
140 1 0.7815 0.2185
141 1 0.9101 0.08992
142 1 0.8583 0.1417
143 1 0.729 0.271
144 1 0.6828 0.3172
145 1 0.5494 0.4506
146 1 0.8602 0.1398
147 1 1.352-0.3515
148 1 1.152-0.1523
149 1 1.245-0.2448
150 1 0.8937 0.1063
151 1 0.9343 0.06575
152 1 0.9559 0.04407
153 1 0.9591 0.04092
154 1 0.8454 0.1546
155 1 0.8944 0.1056
156 1 0.9948 0.005183
157 1 0.7987 0.2013
158 1 1.269-0.2687
159 1 0.9707 0.02925
160 1 0.8619 0.1381
161 1 1.128-0.1281
162 1 1.059-0.05871
163 1 0.9308 0.06917
164 1 0.7942 0.2058
165 1 1.382-0.3824
166 0 0.4502-0.4502
167 0 0.2252-0.2252
168 0 0.09385-0.09385
169 0 0.9418-0.9418
170 0 0.2303-0.2303
171 0 0.1146-0.1146
172 0 0.7993-0.7993
173 0 0.8359-0.8359
174 0 0.8783-0.8783
175 0 0.866-0.866
176 0 0.8346-0.8346
177 0 0.7768-0.7768
178 1 0.6443 0.3557
179 1 0.7122 0.2878
180 1 0.9343 0.06568
181 1 0.764 0.236
182 1 0.8724 0.1276
183 1 0.7192 0.2808
184 0 0.6044-0.6044
185 0 0.6485-0.6485
186 0 0.6068-0.6068
187 0 0.4232-0.4232
188 0 0.4754-0.4754
189 0 0.436-0.436
190 0 0.4283-0.4283
191 0 0.6511-0.6511
192 0 0.701-0.701
193 0-0.1745 0.1745
194 0 0.2671-0.2671
195 0 0.5194-0.5194

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 &  1 &  0.9436 &  0.05643 \tabularnewline
2 &  1 &  1.071 & -0.07059 \tabularnewline
3 &  1 &  0.9726 &  0.02739 \tabularnewline
4 &  1 &  1.078 & -0.07778 \tabularnewline
5 &  1 &  0.871 &  0.129 \tabularnewline
6 &  1 &  0.9495 &  0.05054 \tabularnewline
7 &  1 &  0.7934 &  0.2066 \tabularnewline
8 &  1 &  0.5807 &  0.4193 \tabularnewline
9 &  1 &  0.9746 &  0.0254 \tabularnewline
10 &  1 &  1.151 & -0.1509 \tabularnewline
11 &  1 &  1.112 & -0.1116 \tabularnewline
12 &  1 &  1.238 & -0.2381 \tabularnewline
13 &  1 &  0.4569 &  0.5431 \tabularnewline
14 &  1 &  0.8802 &  0.1198 \tabularnewline
15 &  1 &  0.7048 &  0.2952 \tabularnewline
16 &  1 &  0.7027 &  0.2973 \tabularnewline
17 &  1 &  0.5444 &  0.4556 \tabularnewline
18 &  1 &  1.323 & -0.3229 \tabularnewline
19 &  1 &  1.293 & -0.2934 \tabularnewline
20 &  1 &  0.9661 &  0.03394 \tabularnewline
21 &  1 &  1.066 & -0.06595 \tabularnewline
22 &  1 &  0.8905 &  0.1095 \tabularnewline
23 &  1 &  1.103 & -0.1034 \tabularnewline
24 &  1 &  0.8658 &  0.1342 \tabularnewline
25 &  1 &  0.8204 &  0.1796 \tabularnewline
26 &  1 &  0.9174 &  0.08259 \tabularnewline
27 &  1 &  0.804 &  0.196 \tabularnewline
28 &  1 &  0.7959 &  0.2041 \tabularnewline
29 &  1 &  0.6614 &  0.3386 \tabularnewline
30 &  1 &  0.6993 &  0.3007 \tabularnewline
31 &  0 &  0.2963 & -0.2963 \tabularnewline
32 &  0 &  0.1594 & -0.1594 \tabularnewline
33 &  0 &  0.1924 & -0.1924 \tabularnewline
34 &  0 &  0.1281 & -0.1281 \tabularnewline
35 &  0 &  0.08817 & -0.08817 \tabularnewline
36 &  0 &  0.2036 & -0.2036 \tabularnewline
37 &  1 &  0.8107 &  0.1893 \tabularnewline
38 &  1 &  0.8235 &  0.1765 \tabularnewline
39 &  1 &  0.596 &  0.404 \tabularnewline
40 &  1 &  0.7531 &  0.2469 \tabularnewline
41 &  1 &  0.6126 &  0.3874 \tabularnewline
42 &  1 &  0.4365 &  0.5635 \tabularnewline
43 &  0 &  0.2446 & -0.2446 \tabularnewline
44 &  0 &  0.2042 & -0.2042 \tabularnewline
45 &  0 &  0.01344 & -0.01344 \tabularnewline
46 &  0 &  0.08889 & -0.08889 \tabularnewline
47 &  0 &  0.05106 & -0.05106 \tabularnewline
48 &  0 & -0.04547 &  0.04547 \tabularnewline
49 &  0 &  0.3375 & -0.3375 \tabularnewline
50 &  0 &  0.4295 & -0.4295 \tabularnewline
51 &  0 &  0.4106 & -0.4106 \tabularnewline
52 &  0 &  0.4259 & -0.4259 \tabularnewline
53 &  0 &  0.4115 & -0.4115 \tabularnewline
54 &  0 &  0.5485 & -0.5485 \tabularnewline
55 &  1 &  0.8271 &  0.1729 \tabularnewline
56 &  1 &  0.7916 &  0.2084 \tabularnewline
57 &  1 &  0.8674 &  0.1326 \tabularnewline
58 &  1 &  0.7599 &  0.2401 \tabularnewline
59 &  1 &  0.7793 &  0.2207 \tabularnewline
60 &  1 &  0.6508 &  0.3492 \tabularnewline
61 &  0 &  0.3698 & -0.3698 \tabularnewline
62 &  0 &  0.2747 & -0.2747 \tabularnewline
63 &  0 &  0.2645 & -0.2645 \tabularnewline
64 &  0 &  0.2136 & -0.2136 \tabularnewline
65 &  0 &  0.1283 & -0.1283 \tabularnewline
66 &  0 &  0.2823 & -0.2823 \tabularnewline
67 &  1 &  0.9148 &  0.08522 \tabularnewline
68 &  1 &  0.8891 &  0.1109 \tabularnewline
69 &  1 &  0.9223 &  0.07775 \tabularnewline
70 &  1 &  0.9424 &  0.05763 \tabularnewline
71 &  1 &  0.8508 &  0.1492 \tabularnewline
72 &  1 &  1.093 & -0.093 \tabularnewline
73 &  1 &  0.8872 &  0.1128 \tabularnewline
74 &  1 &  0.9229 &  0.07706 \tabularnewline
75 &  1 &  1.042 & -0.04227 \tabularnewline
76 &  1 &  1.079 & -0.07861 \tabularnewline
77 &  1 &  1.099 & -0.09858 \tabularnewline
78 &  1 &  1 & -0.0004833 \tabularnewline
79 &  1 &  0.9611 &  0.03887 \tabularnewline
80 &  1 &  1.141 & -0.1413 \tabularnewline
81 &  1 &  1.18 & -0.1801 \tabularnewline
82 &  1 &  1.135 & -0.1352 \tabularnewline
83 &  1 &  1.014 & -0.01365 \tabularnewline
84 &  1 &  0.696 &  0.304 \tabularnewline
85 &  1 &  1.088 & -0.08754 \tabularnewline
86 &  1 &  0.8715 &  0.1285 \tabularnewline
87 &  1 &  0.7031 &  0.2969 \tabularnewline
88 &  1 &  0.9446 &  0.05536 \tabularnewline
89 &  1 &  0.9903 &  0.009659 \tabularnewline
90 &  1 &  1.225 & -0.2253 \tabularnewline
91 &  1 &  1.144 & -0.1445 \tabularnewline
92 &  1 &  0.7975 &  0.2025 \tabularnewline
93 &  1 &  0.7337 &  0.2663 \tabularnewline
94 &  1 &  0.8533 &  0.1467 \tabularnewline
95 &  1 &  0.7886 &  0.2114 \tabularnewline
96 &  1 &  0.7577 &  0.2423 \tabularnewline
97 &  1 &  0.803 &  0.197 \tabularnewline
98 &  1 &  1.027 & -0.0269 \tabularnewline
99 &  1 &  0.7997 &  0.2003 \tabularnewline
100 &  1 &  0.8971 &  0.1029 \tabularnewline
101 &  1 &  0.9639 &  0.03615 \tabularnewline
102 &  1 &  0.9738 &  0.0262 \tabularnewline
103 &  1 &  0.9889 &  0.01108 \tabularnewline
104 &  1 &  0.5858 &  0.4142 \tabularnewline
105 &  1 &  0.5807 &  0.4193 \tabularnewline
106 &  1 &  0.5673 &  0.4327 \tabularnewline
107 &  1 &  0.5353 &  0.4647 \tabularnewline
108 &  1 &  0.6901 &  0.3099 \tabularnewline
109 &  1 &  0.6174 &  0.3826 \tabularnewline
110 &  1 &  0.8984 &  0.1016 \tabularnewline
111 &  1 &  1.035 & -0.03499 \tabularnewline
112 &  1 &  0.59 &  0.41 \tabularnewline
113 &  1 &  0.8016 &  0.1984 \tabularnewline
114 &  1 &  0.6989 &  0.3011 \tabularnewline
115 &  1 &  0.8022 &  0.1978 \tabularnewline
116 &  1 &  0.8851 &  0.1149 \tabularnewline
117 &  1 &  0.7289 &  0.2711 \tabularnewline
118 &  1 &  1.052 & -0.05186 \tabularnewline
119 &  1 &  0.8861 &  0.1139 \tabularnewline
120 &  1 &  0.7616 &  0.2384 \tabularnewline
121 &  1 &  0.5515 &  0.4485 \tabularnewline
122 &  1 &  0.9736 &  0.02637 \tabularnewline
123 &  1 &  0.9728 &  0.02715 \tabularnewline
124 &  1 &  0.7106 &  0.2894 \tabularnewline
125 &  1 &  0.6182 &  0.3818 \tabularnewline
126 &  1 &  0.6246 &  0.3754 \tabularnewline
127 &  1 &  0.6126 &  0.3874 \tabularnewline
128 &  1 &  0.6276 &  0.3724 \tabularnewline
129 &  1 &  0.4149 &  0.5851 \tabularnewline
130 &  1 &  0.7652 &  0.2348 \tabularnewline
131 &  1 &  0.8031 &  0.1969 \tabularnewline
132 &  1 &  0.875 &  0.125 \tabularnewline
133 &  1 &  1.053 & -0.05332 \tabularnewline
134 &  1 &  0.647 &  0.353 \tabularnewline
135 &  1 &  0.9633 &  0.03672 \tabularnewline
136 &  1 &  0.9615 &  0.03848 \tabularnewline
137 &  1 &  1.146 & -0.1464 \tabularnewline
138 &  1 &  1.151 & -0.1506 \tabularnewline
139 &  1 &  0.9598 &  0.04025 \tabularnewline
140 &  1 &  0.7815 &  0.2185 \tabularnewline
141 &  1 &  0.9101 &  0.08992 \tabularnewline
142 &  1 &  0.8583 &  0.1417 \tabularnewline
143 &  1 &  0.729 &  0.271 \tabularnewline
144 &  1 &  0.6828 &  0.3172 \tabularnewline
145 &  1 &  0.5494 &  0.4506 \tabularnewline
146 &  1 &  0.8602 &  0.1398 \tabularnewline
147 &  1 &  1.352 & -0.3515 \tabularnewline
148 &  1 &  1.152 & -0.1523 \tabularnewline
149 &  1 &  1.245 & -0.2448 \tabularnewline
150 &  1 &  0.8937 &  0.1063 \tabularnewline
151 &  1 &  0.9343 &  0.06575 \tabularnewline
152 &  1 &  0.9559 &  0.04407 \tabularnewline
153 &  1 &  0.9591 &  0.04092 \tabularnewline
154 &  1 &  0.8454 &  0.1546 \tabularnewline
155 &  1 &  0.8944 &  0.1056 \tabularnewline
156 &  1 &  0.9948 &  0.005183 \tabularnewline
157 &  1 &  0.7987 &  0.2013 \tabularnewline
158 &  1 &  1.269 & -0.2687 \tabularnewline
159 &  1 &  0.9707 &  0.02925 \tabularnewline
160 &  1 &  0.8619 &  0.1381 \tabularnewline
161 &  1 &  1.128 & -0.1281 \tabularnewline
162 &  1 &  1.059 & -0.05871 \tabularnewline
163 &  1 &  0.9308 &  0.06917 \tabularnewline
164 &  1 &  0.7942 &  0.2058 \tabularnewline
165 &  1 &  1.382 & -0.3824 \tabularnewline
166 &  0 &  0.4502 & -0.4502 \tabularnewline
167 &  0 &  0.2252 & -0.2252 \tabularnewline
168 &  0 &  0.09385 & -0.09385 \tabularnewline
169 &  0 &  0.9418 & -0.9418 \tabularnewline
170 &  0 &  0.2303 & -0.2303 \tabularnewline
171 &  0 &  0.1146 & -0.1146 \tabularnewline
172 &  0 &  0.7993 & -0.7993 \tabularnewline
173 &  0 &  0.8359 & -0.8359 \tabularnewline
174 &  0 &  0.8783 & -0.8783 \tabularnewline
175 &  0 &  0.866 & -0.866 \tabularnewline
176 &  0 &  0.8346 & -0.8346 \tabularnewline
177 &  0 &  0.7768 & -0.7768 \tabularnewline
178 &  1 &  0.6443 &  0.3557 \tabularnewline
179 &  1 &  0.7122 &  0.2878 \tabularnewline
180 &  1 &  0.9343 &  0.06568 \tabularnewline
181 &  1 &  0.764 &  0.236 \tabularnewline
182 &  1 &  0.8724 &  0.1276 \tabularnewline
183 &  1 &  0.7192 &  0.2808 \tabularnewline
184 &  0 &  0.6044 & -0.6044 \tabularnewline
185 &  0 &  0.6485 & -0.6485 \tabularnewline
186 &  0 &  0.6068 & -0.6068 \tabularnewline
187 &  0 &  0.4232 & -0.4232 \tabularnewline
188 &  0 &  0.4754 & -0.4754 \tabularnewline
189 &  0 &  0.436 & -0.436 \tabularnewline
190 &  0 &  0.4283 & -0.4283 \tabularnewline
191 &  0 &  0.6511 & -0.6511 \tabularnewline
192 &  0 &  0.701 & -0.701 \tabularnewline
193 &  0 & -0.1745 &  0.1745 \tabularnewline
194 &  0 &  0.2671 & -0.2671 \tabularnewline
195 &  0 &  0.5194 & -0.5194 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=285537&T=4

[TABLE]
[ROW][C]Multiple Linear Regression - Actuals, Interpolation, and Residuals[/C][/ROW]
[ROW][C]Time or Index[/C][C]Actuals[/C][C]InterpolationForecast[/C][C]ResidualsPrediction Error[/C][/ROW]
[ROW][C]1[/C][C] 1[/C][C] 0.9436[/C][C] 0.05643[/C][/ROW]
[ROW][C]2[/C][C] 1[/C][C] 1.071[/C][C]-0.07059[/C][/ROW]
[ROW][C]3[/C][C] 1[/C][C] 0.9726[/C][C] 0.02739[/C][/ROW]
[ROW][C]4[/C][C] 1[/C][C] 1.078[/C][C]-0.07778[/C][/ROW]
[ROW][C]5[/C][C] 1[/C][C] 0.871[/C][C] 0.129[/C][/ROW]
[ROW][C]6[/C][C] 1[/C][C] 0.9495[/C][C] 0.05054[/C][/ROW]
[ROW][C]7[/C][C] 1[/C][C] 0.7934[/C][C] 0.2066[/C][/ROW]
[ROW][C]8[/C][C] 1[/C][C] 0.5807[/C][C] 0.4193[/C][/ROW]
[ROW][C]9[/C][C] 1[/C][C] 0.9746[/C][C] 0.0254[/C][/ROW]
[ROW][C]10[/C][C] 1[/C][C] 1.151[/C][C]-0.1509[/C][/ROW]
[ROW][C]11[/C][C] 1[/C][C] 1.112[/C][C]-0.1116[/C][/ROW]
[ROW][C]12[/C][C] 1[/C][C] 1.238[/C][C]-0.2381[/C][/ROW]
[ROW][C]13[/C][C] 1[/C][C] 0.4569[/C][C] 0.5431[/C][/ROW]
[ROW][C]14[/C][C] 1[/C][C] 0.8802[/C][C] 0.1198[/C][/ROW]
[ROW][C]15[/C][C] 1[/C][C] 0.7048[/C][C] 0.2952[/C][/ROW]
[ROW][C]16[/C][C] 1[/C][C] 0.7027[/C][C] 0.2973[/C][/ROW]
[ROW][C]17[/C][C] 1[/C][C] 0.5444[/C][C] 0.4556[/C][/ROW]
[ROW][C]18[/C][C] 1[/C][C] 1.323[/C][C]-0.3229[/C][/ROW]
[ROW][C]19[/C][C] 1[/C][C] 1.293[/C][C]-0.2934[/C][/ROW]
[ROW][C]20[/C][C] 1[/C][C] 0.9661[/C][C] 0.03394[/C][/ROW]
[ROW][C]21[/C][C] 1[/C][C] 1.066[/C][C]-0.06595[/C][/ROW]
[ROW][C]22[/C][C] 1[/C][C] 0.8905[/C][C] 0.1095[/C][/ROW]
[ROW][C]23[/C][C] 1[/C][C] 1.103[/C][C]-0.1034[/C][/ROW]
[ROW][C]24[/C][C] 1[/C][C] 0.8658[/C][C] 0.1342[/C][/ROW]
[ROW][C]25[/C][C] 1[/C][C] 0.8204[/C][C] 0.1796[/C][/ROW]
[ROW][C]26[/C][C] 1[/C][C] 0.9174[/C][C] 0.08259[/C][/ROW]
[ROW][C]27[/C][C] 1[/C][C] 0.804[/C][C] 0.196[/C][/ROW]
[ROW][C]28[/C][C] 1[/C][C] 0.7959[/C][C] 0.2041[/C][/ROW]
[ROW][C]29[/C][C] 1[/C][C] 0.6614[/C][C] 0.3386[/C][/ROW]
[ROW][C]30[/C][C] 1[/C][C] 0.6993[/C][C] 0.3007[/C][/ROW]
[ROW][C]31[/C][C] 0[/C][C] 0.2963[/C][C]-0.2963[/C][/ROW]
[ROW][C]32[/C][C] 0[/C][C] 0.1594[/C][C]-0.1594[/C][/ROW]
[ROW][C]33[/C][C] 0[/C][C] 0.1924[/C][C]-0.1924[/C][/ROW]
[ROW][C]34[/C][C] 0[/C][C] 0.1281[/C][C]-0.1281[/C][/ROW]
[ROW][C]35[/C][C] 0[/C][C] 0.08817[/C][C]-0.08817[/C][/ROW]
[ROW][C]36[/C][C] 0[/C][C] 0.2036[/C][C]-0.2036[/C][/ROW]
[ROW][C]37[/C][C] 1[/C][C] 0.8107[/C][C] 0.1893[/C][/ROW]
[ROW][C]38[/C][C] 1[/C][C] 0.8235[/C][C] 0.1765[/C][/ROW]
[ROW][C]39[/C][C] 1[/C][C] 0.596[/C][C] 0.404[/C][/ROW]
[ROW][C]40[/C][C] 1[/C][C] 0.7531[/C][C] 0.2469[/C][/ROW]
[ROW][C]41[/C][C] 1[/C][C] 0.6126[/C][C] 0.3874[/C][/ROW]
[ROW][C]42[/C][C] 1[/C][C] 0.4365[/C][C] 0.5635[/C][/ROW]
[ROW][C]43[/C][C] 0[/C][C] 0.2446[/C][C]-0.2446[/C][/ROW]
[ROW][C]44[/C][C] 0[/C][C] 0.2042[/C][C]-0.2042[/C][/ROW]
[ROW][C]45[/C][C] 0[/C][C] 0.01344[/C][C]-0.01344[/C][/ROW]
[ROW][C]46[/C][C] 0[/C][C] 0.08889[/C][C]-0.08889[/C][/ROW]
[ROW][C]47[/C][C] 0[/C][C] 0.05106[/C][C]-0.05106[/C][/ROW]
[ROW][C]48[/C][C] 0[/C][C]-0.04547[/C][C] 0.04547[/C][/ROW]
[ROW][C]49[/C][C] 0[/C][C] 0.3375[/C][C]-0.3375[/C][/ROW]
[ROW][C]50[/C][C] 0[/C][C] 0.4295[/C][C]-0.4295[/C][/ROW]
[ROW][C]51[/C][C] 0[/C][C] 0.4106[/C][C]-0.4106[/C][/ROW]
[ROW][C]52[/C][C] 0[/C][C] 0.4259[/C][C]-0.4259[/C][/ROW]
[ROW][C]53[/C][C] 0[/C][C] 0.4115[/C][C]-0.4115[/C][/ROW]
[ROW][C]54[/C][C] 0[/C][C] 0.5485[/C][C]-0.5485[/C][/ROW]
[ROW][C]55[/C][C] 1[/C][C] 0.8271[/C][C] 0.1729[/C][/ROW]
[ROW][C]56[/C][C] 1[/C][C] 0.7916[/C][C] 0.2084[/C][/ROW]
[ROW][C]57[/C][C] 1[/C][C] 0.8674[/C][C] 0.1326[/C][/ROW]
[ROW][C]58[/C][C] 1[/C][C] 0.7599[/C][C] 0.2401[/C][/ROW]
[ROW][C]59[/C][C] 1[/C][C] 0.7793[/C][C] 0.2207[/C][/ROW]
[ROW][C]60[/C][C] 1[/C][C] 0.6508[/C][C] 0.3492[/C][/ROW]
[ROW][C]61[/C][C] 0[/C][C] 0.3698[/C][C]-0.3698[/C][/ROW]
[ROW][C]62[/C][C] 0[/C][C] 0.2747[/C][C]-0.2747[/C][/ROW]
[ROW][C]63[/C][C] 0[/C][C] 0.2645[/C][C]-0.2645[/C][/ROW]
[ROW][C]64[/C][C] 0[/C][C] 0.2136[/C][C]-0.2136[/C][/ROW]
[ROW][C]65[/C][C] 0[/C][C] 0.1283[/C][C]-0.1283[/C][/ROW]
[ROW][C]66[/C][C] 0[/C][C] 0.2823[/C][C]-0.2823[/C][/ROW]
[ROW][C]67[/C][C] 1[/C][C] 0.9148[/C][C] 0.08522[/C][/ROW]
[ROW][C]68[/C][C] 1[/C][C] 0.8891[/C][C] 0.1109[/C][/ROW]
[ROW][C]69[/C][C] 1[/C][C] 0.9223[/C][C] 0.07775[/C][/ROW]
[ROW][C]70[/C][C] 1[/C][C] 0.9424[/C][C] 0.05763[/C][/ROW]
[ROW][C]71[/C][C] 1[/C][C] 0.8508[/C][C] 0.1492[/C][/ROW]
[ROW][C]72[/C][C] 1[/C][C] 1.093[/C][C]-0.093[/C][/ROW]
[ROW][C]73[/C][C] 1[/C][C] 0.8872[/C][C] 0.1128[/C][/ROW]
[ROW][C]74[/C][C] 1[/C][C] 0.9229[/C][C] 0.07706[/C][/ROW]
[ROW][C]75[/C][C] 1[/C][C] 1.042[/C][C]-0.04227[/C][/ROW]
[ROW][C]76[/C][C] 1[/C][C] 1.079[/C][C]-0.07861[/C][/ROW]
[ROW][C]77[/C][C] 1[/C][C] 1.099[/C][C]-0.09858[/C][/ROW]
[ROW][C]78[/C][C] 1[/C][C] 1[/C][C]-0.0004833[/C][/ROW]
[ROW][C]79[/C][C] 1[/C][C] 0.9611[/C][C] 0.03887[/C][/ROW]
[ROW][C]80[/C][C] 1[/C][C] 1.141[/C][C]-0.1413[/C][/ROW]
[ROW][C]81[/C][C] 1[/C][C] 1.18[/C][C]-0.1801[/C][/ROW]
[ROW][C]82[/C][C] 1[/C][C] 1.135[/C][C]-0.1352[/C][/ROW]
[ROW][C]83[/C][C] 1[/C][C] 1.014[/C][C]-0.01365[/C][/ROW]
[ROW][C]84[/C][C] 1[/C][C] 0.696[/C][C] 0.304[/C][/ROW]
[ROW][C]85[/C][C] 1[/C][C] 1.088[/C][C]-0.08754[/C][/ROW]
[ROW][C]86[/C][C] 1[/C][C] 0.8715[/C][C] 0.1285[/C][/ROW]
[ROW][C]87[/C][C] 1[/C][C] 0.7031[/C][C] 0.2969[/C][/ROW]
[ROW][C]88[/C][C] 1[/C][C] 0.9446[/C][C] 0.05536[/C][/ROW]
[ROW][C]89[/C][C] 1[/C][C] 0.9903[/C][C] 0.009659[/C][/ROW]
[ROW][C]90[/C][C] 1[/C][C] 1.225[/C][C]-0.2253[/C][/ROW]
[ROW][C]91[/C][C] 1[/C][C] 1.144[/C][C]-0.1445[/C][/ROW]
[ROW][C]92[/C][C] 1[/C][C] 0.7975[/C][C] 0.2025[/C][/ROW]
[ROW][C]93[/C][C] 1[/C][C] 0.7337[/C][C] 0.2663[/C][/ROW]
[ROW][C]94[/C][C] 1[/C][C] 0.8533[/C][C] 0.1467[/C][/ROW]
[ROW][C]95[/C][C] 1[/C][C] 0.7886[/C][C] 0.2114[/C][/ROW]
[ROW][C]96[/C][C] 1[/C][C] 0.7577[/C][C] 0.2423[/C][/ROW]
[ROW][C]97[/C][C] 1[/C][C] 0.803[/C][C] 0.197[/C][/ROW]
[ROW][C]98[/C][C] 1[/C][C] 1.027[/C][C]-0.0269[/C][/ROW]
[ROW][C]99[/C][C] 1[/C][C] 0.7997[/C][C] 0.2003[/C][/ROW]
[ROW][C]100[/C][C] 1[/C][C] 0.8971[/C][C] 0.1029[/C][/ROW]
[ROW][C]101[/C][C] 1[/C][C] 0.9639[/C][C] 0.03615[/C][/ROW]
[ROW][C]102[/C][C] 1[/C][C] 0.9738[/C][C] 0.0262[/C][/ROW]
[ROW][C]103[/C][C] 1[/C][C] 0.9889[/C][C] 0.01108[/C][/ROW]
[ROW][C]104[/C][C] 1[/C][C] 0.5858[/C][C] 0.4142[/C][/ROW]
[ROW][C]105[/C][C] 1[/C][C] 0.5807[/C][C] 0.4193[/C][/ROW]
[ROW][C]106[/C][C] 1[/C][C] 0.5673[/C][C] 0.4327[/C][/ROW]
[ROW][C]107[/C][C] 1[/C][C] 0.5353[/C][C] 0.4647[/C][/ROW]
[ROW][C]108[/C][C] 1[/C][C] 0.6901[/C][C] 0.3099[/C][/ROW]
[ROW][C]109[/C][C] 1[/C][C] 0.6174[/C][C] 0.3826[/C][/ROW]
[ROW][C]110[/C][C] 1[/C][C] 0.8984[/C][C] 0.1016[/C][/ROW]
[ROW][C]111[/C][C] 1[/C][C] 1.035[/C][C]-0.03499[/C][/ROW]
[ROW][C]112[/C][C] 1[/C][C] 0.59[/C][C] 0.41[/C][/ROW]
[ROW][C]113[/C][C] 1[/C][C] 0.8016[/C][C] 0.1984[/C][/ROW]
[ROW][C]114[/C][C] 1[/C][C] 0.6989[/C][C] 0.3011[/C][/ROW]
[ROW][C]115[/C][C] 1[/C][C] 0.8022[/C][C] 0.1978[/C][/ROW]
[ROW][C]116[/C][C] 1[/C][C] 0.8851[/C][C] 0.1149[/C][/ROW]
[ROW][C]117[/C][C] 1[/C][C] 0.7289[/C][C] 0.2711[/C][/ROW]
[ROW][C]118[/C][C] 1[/C][C] 1.052[/C][C]-0.05186[/C][/ROW]
[ROW][C]119[/C][C] 1[/C][C] 0.8861[/C][C] 0.1139[/C][/ROW]
[ROW][C]120[/C][C] 1[/C][C] 0.7616[/C][C] 0.2384[/C][/ROW]
[ROW][C]121[/C][C] 1[/C][C] 0.5515[/C][C] 0.4485[/C][/ROW]
[ROW][C]122[/C][C] 1[/C][C] 0.9736[/C][C] 0.02637[/C][/ROW]
[ROW][C]123[/C][C] 1[/C][C] 0.9728[/C][C] 0.02715[/C][/ROW]
[ROW][C]124[/C][C] 1[/C][C] 0.7106[/C][C] 0.2894[/C][/ROW]
[ROW][C]125[/C][C] 1[/C][C] 0.6182[/C][C] 0.3818[/C][/ROW]
[ROW][C]126[/C][C] 1[/C][C] 0.6246[/C][C] 0.3754[/C][/ROW]
[ROW][C]127[/C][C] 1[/C][C] 0.6126[/C][C] 0.3874[/C][/ROW]
[ROW][C]128[/C][C] 1[/C][C] 0.6276[/C][C] 0.3724[/C][/ROW]
[ROW][C]129[/C][C] 1[/C][C] 0.4149[/C][C] 0.5851[/C][/ROW]
[ROW][C]130[/C][C] 1[/C][C] 0.7652[/C][C] 0.2348[/C][/ROW]
[ROW][C]131[/C][C] 1[/C][C] 0.8031[/C][C] 0.1969[/C][/ROW]
[ROW][C]132[/C][C] 1[/C][C] 0.875[/C][C] 0.125[/C][/ROW]
[ROW][C]133[/C][C] 1[/C][C] 1.053[/C][C]-0.05332[/C][/ROW]
[ROW][C]134[/C][C] 1[/C][C] 0.647[/C][C] 0.353[/C][/ROW]
[ROW][C]135[/C][C] 1[/C][C] 0.9633[/C][C] 0.03672[/C][/ROW]
[ROW][C]136[/C][C] 1[/C][C] 0.9615[/C][C] 0.03848[/C][/ROW]
[ROW][C]137[/C][C] 1[/C][C] 1.146[/C][C]-0.1464[/C][/ROW]
[ROW][C]138[/C][C] 1[/C][C] 1.151[/C][C]-0.1506[/C][/ROW]
[ROW][C]139[/C][C] 1[/C][C] 0.9598[/C][C] 0.04025[/C][/ROW]
[ROW][C]140[/C][C] 1[/C][C] 0.7815[/C][C] 0.2185[/C][/ROW]
[ROW][C]141[/C][C] 1[/C][C] 0.9101[/C][C] 0.08992[/C][/ROW]
[ROW][C]142[/C][C] 1[/C][C] 0.8583[/C][C] 0.1417[/C][/ROW]
[ROW][C]143[/C][C] 1[/C][C] 0.729[/C][C] 0.271[/C][/ROW]
[ROW][C]144[/C][C] 1[/C][C] 0.6828[/C][C] 0.3172[/C][/ROW]
[ROW][C]145[/C][C] 1[/C][C] 0.5494[/C][C] 0.4506[/C][/ROW]
[ROW][C]146[/C][C] 1[/C][C] 0.8602[/C][C] 0.1398[/C][/ROW]
[ROW][C]147[/C][C] 1[/C][C] 1.352[/C][C]-0.3515[/C][/ROW]
[ROW][C]148[/C][C] 1[/C][C] 1.152[/C][C]-0.1523[/C][/ROW]
[ROW][C]149[/C][C] 1[/C][C] 1.245[/C][C]-0.2448[/C][/ROW]
[ROW][C]150[/C][C] 1[/C][C] 0.8937[/C][C] 0.1063[/C][/ROW]
[ROW][C]151[/C][C] 1[/C][C] 0.9343[/C][C] 0.06575[/C][/ROW]
[ROW][C]152[/C][C] 1[/C][C] 0.9559[/C][C] 0.04407[/C][/ROW]
[ROW][C]153[/C][C] 1[/C][C] 0.9591[/C][C] 0.04092[/C][/ROW]
[ROW][C]154[/C][C] 1[/C][C] 0.8454[/C][C] 0.1546[/C][/ROW]
[ROW][C]155[/C][C] 1[/C][C] 0.8944[/C][C] 0.1056[/C][/ROW]
[ROW][C]156[/C][C] 1[/C][C] 0.9948[/C][C] 0.005183[/C][/ROW]
[ROW][C]157[/C][C] 1[/C][C] 0.7987[/C][C] 0.2013[/C][/ROW]
[ROW][C]158[/C][C] 1[/C][C] 1.269[/C][C]-0.2687[/C][/ROW]
[ROW][C]159[/C][C] 1[/C][C] 0.9707[/C][C] 0.02925[/C][/ROW]
[ROW][C]160[/C][C] 1[/C][C] 0.8619[/C][C] 0.1381[/C][/ROW]
[ROW][C]161[/C][C] 1[/C][C] 1.128[/C][C]-0.1281[/C][/ROW]
[ROW][C]162[/C][C] 1[/C][C] 1.059[/C][C]-0.05871[/C][/ROW]
[ROW][C]163[/C][C] 1[/C][C] 0.9308[/C][C] 0.06917[/C][/ROW]
[ROW][C]164[/C][C] 1[/C][C] 0.7942[/C][C] 0.2058[/C][/ROW]
[ROW][C]165[/C][C] 1[/C][C] 1.382[/C][C]-0.3824[/C][/ROW]
[ROW][C]166[/C][C] 0[/C][C] 0.4502[/C][C]-0.4502[/C][/ROW]
[ROW][C]167[/C][C] 0[/C][C] 0.2252[/C][C]-0.2252[/C][/ROW]
[ROW][C]168[/C][C] 0[/C][C] 0.09385[/C][C]-0.09385[/C][/ROW]
[ROW][C]169[/C][C] 0[/C][C] 0.9418[/C][C]-0.9418[/C][/ROW]
[ROW][C]170[/C][C] 0[/C][C] 0.2303[/C][C]-0.2303[/C][/ROW]
[ROW][C]171[/C][C] 0[/C][C] 0.1146[/C][C]-0.1146[/C][/ROW]
[ROW][C]172[/C][C] 0[/C][C] 0.7993[/C][C]-0.7993[/C][/ROW]
[ROW][C]173[/C][C] 0[/C][C] 0.8359[/C][C]-0.8359[/C][/ROW]
[ROW][C]174[/C][C] 0[/C][C] 0.8783[/C][C]-0.8783[/C][/ROW]
[ROW][C]175[/C][C] 0[/C][C] 0.866[/C][C]-0.866[/C][/ROW]
[ROW][C]176[/C][C] 0[/C][C] 0.8346[/C][C]-0.8346[/C][/ROW]
[ROW][C]177[/C][C] 0[/C][C] 0.7768[/C][C]-0.7768[/C][/ROW]
[ROW][C]178[/C][C] 1[/C][C] 0.6443[/C][C] 0.3557[/C][/ROW]
[ROW][C]179[/C][C] 1[/C][C] 0.7122[/C][C] 0.2878[/C][/ROW]
[ROW][C]180[/C][C] 1[/C][C] 0.9343[/C][C] 0.06568[/C][/ROW]
[ROW][C]181[/C][C] 1[/C][C] 0.764[/C][C] 0.236[/C][/ROW]
[ROW][C]182[/C][C] 1[/C][C] 0.8724[/C][C] 0.1276[/C][/ROW]
[ROW][C]183[/C][C] 1[/C][C] 0.7192[/C][C] 0.2808[/C][/ROW]
[ROW][C]184[/C][C] 0[/C][C] 0.6044[/C][C]-0.6044[/C][/ROW]
[ROW][C]185[/C][C] 0[/C][C] 0.6485[/C][C]-0.6485[/C][/ROW]
[ROW][C]186[/C][C] 0[/C][C] 0.6068[/C][C]-0.6068[/C][/ROW]
[ROW][C]187[/C][C] 0[/C][C] 0.4232[/C][C]-0.4232[/C][/ROW]
[ROW][C]188[/C][C] 0[/C][C] 0.4754[/C][C]-0.4754[/C][/ROW]
[ROW][C]189[/C][C] 0[/C][C] 0.436[/C][C]-0.436[/C][/ROW]
[ROW][C]190[/C][C] 0[/C][C] 0.4283[/C][C]-0.4283[/C][/ROW]
[ROW][C]191[/C][C] 0[/C][C] 0.6511[/C][C]-0.6511[/C][/ROW]
[ROW][C]192[/C][C] 0[/C][C] 0.701[/C][C]-0.701[/C][/ROW]
[ROW][C]193[/C][C] 0[/C][C]-0.1745[/C][C] 0.1745[/C][/ROW]
[ROW][C]194[/C][C] 0[/C][C] 0.2671[/C][C]-0.2671[/C][/ROW]
[ROW][C]195[/C][C] 0[/C][C] 0.5194[/C][C]-0.5194[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=285537&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=285537&T=4

As an alternative you can also use a QR Code:  
QR Code


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

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
1 1 0.9436 0.05643
2 1 1.071-0.07059
3 1 0.9726 0.02739
4 1 1.078-0.07778
5 1 0.871 0.129
6 1 0.9495 0.05054
7 1 0.7934 0.2066
8 1 0.5807 0.4193
9 1 0.9746 0.0254
10 1 1.151-0.1509
11 1 1.112-0.1116
12 1 1.238-0.2381
13 1 0.4569 0.5431
14 1 0.8802 0.1198
15 1 0.7048 0.2952
16 1 0.7027 0.2973
17 1 0.5444 0.4556
18 1 1.323-0.3229
19 1 1.293-0.2934
20 1 0.9661 0.03394
21 1 1.066-0.06595
22 1 0.8905 0.1095
23 1 1.103-0.1034
24 1 0.8658 0.1342
25 1 0.8204 0.1796
26 1 0.9174 0.08259
27 1 0.804 0.196
28 1 0.7959 0.2041
29 1 0.6614 0.3386
30 1 0.6993 0.3007
31 0 0.2963-0.2963
32 0 0.1594-0.1594
33 0 0.1924-0.1924
34 0 0.1281-0.1281
35 0 0.08817-0.08817
36 0 0.2036-0.2036
37 1 0.8107 0.1893
38 1 0.8235 0.1765
39 1 0.596 0.404
40 1 0.7531 0.2469
41 1 0.6126 0.3874
42 1 0.4365 0.5635
43 0 0.2446-0.2446
44 0 0.2042-0.2042
45 0 0.01344-0.01344
46 0 0.08889-0.08889
47 0 0.05106-0.05106
48 0-0.04547 0.04547
49 0 0.3375-0.3375
50 0 0.4295-0.4295
51 0 0.4106-0.4106
52 0 0.4259-0.4259
53 0 0.4115-0.4115
54 0 0.5485-0.5485
55 1 0.8271 0.1729
56 1 0.7916 0.2084
57 1 0.8674 0.1326
58 1 0.7599 0.2401
59 1 0.7793 0.2207
60 1 0.6508 0.3492
61 0 0.3698-0.3698
62 0 0.2747-0.2747
63 0 0.2645-0.2645
64 0 0.2136-0.2136
65 0 0.1283-0.1283
66 0 0.2823-0.2823
67 1 0.9148 0.08522
68 1 0.8891 0.1109
69 1 0.9223 0.07775
70 1 0.9424 0.05763
71 1 0.8508 0.1492
72 1 1.093-0.093
73 1 0.8872 0.1128
74 1 0.9229 0.07706
75 1 1.042-0.04227
76 1 1.079-0.07861
77 1 1.099-0.09858
78 1 1-0.0004833
79 1 0.9611 0.03887
80 1 1.141-0.1413
81 1 1.18-0.1801
82 1 1.135-0.1352
83 1 1.014-0.01365
84 1 0.696 0.304
85 1 1.088-0.08754
86 1 0.8715 0.1285
87 1 0.7031 0.2969
88 1 0.9446 0.05536
89 1 0.9903 0.009659
90 1 1.225-0.2253
91 1 1.144-0.1445
92 1 0.7975 0.2025
93 1 0.7337 0.2663
94 1 0.8533 0.1467
95 1 0.7886 0.2114
96 1 0.7577 0.2423
97 1 0.803 0.197
98 1 1.027-0.0269
99 1 0.7997 0.2003
100 1 0.8971 0.1029
101 1 0.9639 0.03615
102 1 0.9738 0.0262
103 1 0.9889 0.01108
104 1 0.5858 0.4142
105 1 0.5807 0.4193
106 1 0.5673 0.4327
107 1 0.5353 0.4647
108 1 0.6901 0.3099
109 1 0.6174 0.3826
110 1 0.8984 0.1016
111 1 1.035-0.03499
112 1 0.59 0.41
113 1 0.8016 0.1984
114 1 0.6989 0.3011
115 1 0.8022 0.1978
116 1 0.8851 0.1149
117 1 0.7289 0.2711
118 1 1.052-0.05186
119 1 0.8861 0.1139
120 1 0.7616 0.2384
121 1 0.5515 0.4485
122 1 0.9736 0.02637
123 1 0.9728 0.02715
124 1 0.7106 0.2894
125 1 0.6182 0.3818
126 1 0.6246 0.3754
127 1 0.6126 0.3874
128 1 0.6276 0.3724
129 1 0.4149 0.5851
130 1 0.7652 0.2348
131 1 0.8031 0.1969
132 1 0.875 0.125
133 1 1.053-0.05332
134 1 0.647 0.353
135 1 0.9633 0.03672
136 1 0.9615 0.03848
137 1 1.146-0.1464
138 1 1.151-0.1506
139 1 0.9598 0.04025
140 1 0.7815 0.2185
141 1 0.9101 0.08992
142 1 0.8583 0.1417
143 1 0.729 0.271
144 1 0.6828 0.3172
145 1 0.5494 0.4506
146 1 0.8602 0.1398
147 1 1.352-0.3515
148 1 1.152-0.1523
149 1 1.245-0.2448
150 1 0.8937 0.1063
151 1 0.9343 0.06575
152 1 0.9559 0.04407
153 1 0.9591 0.04092
154 1 0.8454 0.1546
155 1 0.8944 0.1056
156 1 0.9948 0.005183
157 1 0.7987 0.2013
158 1 1.269-0.2687
159 1 0.9707 0.02925
160 1 0.8619 0.1381
161 1 1.128-0.1281
162 1 1.059-0.05871
163 1 0.9308 0.06917
164 1 0.7942 0.2058
165 1 1.382-0.3824
166 0 0.4502-0.4502
167 0 0.2252-0.2252
168 0 0.09385-0.09385
169 0 0.9418-0.9418
170 0 0.2303-0.2303
171 0 0.1146-0.1146
172 0 0.7993-0.7993
173 0 0.8359-0.8359
174 0 0.8783-0.8783
175 0 0.866-0.866
176 0 0.8346-0.8346
177 0 0.7768-0.7768
178 1 0.6443 0.3557
179 1 0.7122 0.2878
180 1 0.9343 0.06568
181 1 0.764 0.236
182 1 0.8724 0.1276
183 1 0.7192 0.2808
184 0 0.6044-0.6044
185 0 0.6485-0.6485
186 0 0.6068-0.6068
187 0 0.4232-0.4232
188 0 0.4754-0.4754
189 0 0.436-0.436
190 0 0.4283-0.4283
191 0 0.6511-0.6511
192 0 0.701-0.701
193 0-0.1745 0.1745
194 0 0.2671-0.2671
195 0 0.5194-0.5194






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
26 1.682e-46 3.363e-46 1
27 7.299e-62 1.46e-61 1
28 5.695e-74 1.139e-73 1
29 8.199e-88 1.64e-87 1
30 7.753e-103 1.551e-102 1
31 0.0002546 0.0005093 0.9997
32 6.628e-05 0.0001326 0.9999
33 1.635e-05 3.269e-05 1
34 4.921e-06 9.842e-06 1
35 1.493e-06 2.986e-06 1
36 3.664e-07 7.328e-07 1
37 5.204e-05 0.0001041 0.9999
38 2.997e-05 5.994e-05 1
39 0.0005278 0.001056 0.9995
40 0.0008676 0.001735 0.9991
41 0.001089 0.002178 0.9989
42 0.0006346 0.001269 0.9994
43 0.0003911 0.0007822 0.9996
44 0.0002189 0.0004377 0.9998
45 0.000102 0.000204 0.9999
46 5.007e-05 0.0001001 1
47 2.997e-05 5.994e-05 1
48 3.988e-05 7.976e-05 1
49 0.0001744 0.0003487 0.9998
50 0.0001438 0.0002876 0.9999
51 9.519e-05 0.0001904 0.9999
52 6.313e-05 0.0001263 0.9999
53 4.436e-05 8.872e-05 1
54 4.616e-05 9.232e-05 1
55 5.317e-05 0.0001063 0.9999
56 6.655e-05 0.0001331 0.9999
57 3.77e-05 7.54e-05 1
58 2.599e-05 5.198e-05 1
59 1.475e-05 2.951e-05 1
60 8.441e-06 1.688e-05 1
61 0.0003517 0.0007035 0.9996
62 0.0004571 0.0009143 0.9995
63 0.0006236 0.001247 0.9994
64 0.0006232 0.001246 0.9994
65 0.0004261 0.0008522 0.9996
66 0.0004221 0.0008442 0.9996
67 0.0002833 0.0005665 0.9997
68 0.0001824 0.0003648 0.9998
69 0.0002316 0.0004633 0.9998
70 0.0001786 0.0003572 0.9998
71 0.0001079 0.0002157 0.9999
72 7.363e-05 0.0001473 0.9999
73 4.32e-05 8.641e-05 1
74 0.0001196 0.0002392 0.9999
75 0.0001564 0.0003128 0.9998
76 0.0001158 0.0002315 0.9999
77 7.497e-05 0.0001499 0.9999
78 5.881e-05 0.0001176 0.9999
79 3.489e-05 6.978e-05 1
80 2.491e-05 4.981e-05 1
81 1.849e-05 3.698e-05 1
82 1.077e-05 2.155e-05 1
83 7.131e-06 1.426e-05 1
84 4.579e-06 9.159e-06 1
85 2.768e-06 5.537e-06 1
86 3.233e-06 6.466e-06 1
87 5.281e-06 1.056e-05 1
88 3.342e-06 6.683e-06 1
89 2.598e-06 5.196e-06 1
90 3.215e-06 6.43e-06 1
91 3.173e-06 6.345e-06 1
92 3.961e-06 7.923e-06 1
93 2.52e-06 5.039e-06 1
94 1.689e-06 3.377e-06 1
95 1.09e-06 2.179e-06 1
96 6.756e-07 1.351e-06 1
97 4.201e-07 8.402e-07 1
98 2.394e-07 4.788e-07 1
99 1.49e-07 2.979e-07 1
100 8.74e-08 1.748e-07 1
101 6.861e-08 1.372e-07 1
102 6.592e-08 1.318e-07 1
103 7.737e-08 1.547e-07 1
104 1.488e-07 2.976e-07 1
105 2.31e-07 4.619e-07 1
106 4.22e-07 8.44e-07 1
107 9.941e-07 1.988e-06 1
108 7.282e-07 1.456e-06 1
109 1.655e-06 3.31e-06 1
110 1.357e-06 2.713e-06 1
111 8.089e-07 1.618e-06 1
112 1.639e-06 3.278e-06 1
113 1.084e-06 2.168e-06 1
114 1.263e-06 2.526e-06 1
115 1.248e-06 2.496e-06 1
116 8.451e-07 1.69e-06 1
117 1.162e-06 2.324e-06 1
118 6.706e-07 1.341e-06 1
119 4.737e-07 9.475e-07 1
120 1.087e-06 2.175e-06 1
121 6.793e-06 1.359e-05 1
122 1.715e-05 3.429e-05 1
123 1.094e-05 2.189e-05 1
124 7.512e-06 1.502e-05 1
125 5.283e-06 1.057e-05 1
126 5.532e-06 1.106e-05 1
127 1.111e-05 2.222e-05 1
128 0.0001463 0.0002925 0.9999
129 0.0003826 0.0007651 0.9996
130 0.0004874 0.0009748 0.9995
131 0.0005019 0.001004 0.9995
132 0.0003435 0.0006869 0.9997
133 0.000308 0.0006159 0.9997
134 0.001383 0.002766 0.9986
135 0.001606 0.003212 0.9984
136 0.001563 0.003127 0.9984
137 0.00169 0.00338 0.9983
138 0.001736 0.003471 0.9983
139 0.001172 0.002345 0.9988
140 0.001454 0.002907 0.9985
141 0.001229 0.002457 0.9988
142 0.001564 0.003128 0.9984
143 0.001315 0.002629 0.9987
144 0.004516 0.009032 0.9955
145 0.00392 0.007841 0.9961
146 0.003016 0.006033 0.997
147 0.002145 0.004291 0.9979
148 0.001384 0.002767 0.9986
149 0.001399 0.002798 0.9986
150 0.0009274 0.001855 0.9991
151 0.0008691 0.001738 0.9991
152 0.006385 0.01277 0.9936
153 0.03428 0.06855 0.9657
154 0.03054 0.06107 0.9695
155 0.02585 0.05169 0.9742
156 0.01922 0.03844 0.9808
157 0.08908 0.1782 0.9109
158 0.08425 0.1685 0.9157
159 0.2874 0.5747 0.7126
160 0.2264 0.4527 0.7736
161 0.1699 0.3398 0.8301
162 0.1293 0.2585 0.8707
163 0.1479 0.2957 0.8521
164 0.3161 0.6322 0.6839
165 0.4253 0.8507 0.5747
166 0.5209 0.9583 0.4791
167 0.9018 0.1965 0.09825
168 0.945 0.11 0.055
169 0.963 0.07409 0.03705

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
26 &  1.682e-46 &  3.363e-46 &  1 \tabularnewline
27 &  7.299e-62 &  1.46e-61 &  1 \tabularnewline
28 &  5.695e-74 &  1.139e-73 &  1 \tabularnewline
29 &  8.199e-88 &  1.64e-87 &  1 \tabularnewline
30 &  7.753e-103 &  1.551e-102 &  1 \tabularnewline
31 &  0.0002546 &  0.0005093 &  0.9997 \tabularnewline
32 &  6.628e-05 &  0.0001326 &  0.9999 \tabularnewline
33 &  1.635e-05 &  3.269e-05 &  1 \tabularnewline
34 &  4.921e-06 &  9.842e-06 &  1 \tabularnewline
35 &  1.493e-06 &  2.986e-06 &  1 \tabularnewline
36 &  3.664e-07 &  7.328e-07 &  1 \tabularnewline
37 &  5.204e-05 &  0.0001041 &  0.9999 \tabularnewline
38 &  2.997e-05 &  5.994e-05 &  1 \tabularnewline
39 &  0.0005278 &  0.001056 &  0.9995 \tabularnewline
40 &  0.0008676 &  0.001735 &  0.9991 \tabularnewline
41 &  0.001089 &  0.002178 &  0.9989 \tabularnewline
42 &  0.0006346 &  0.001269 &  0.9994 \tabularnewline
43 &  0.0003911 &  0.0007822 &  0.9996 \tabularnewline
44 &  0.0002189 &  0.0004377 &  0.9998 \tabularnewline
45 &  0.000102 &  0.000204 &  0.9999 \tabularnewline
46 &  5.007e-05 &  0.0001001 &  1 \tabularnewline
47 &  2.997e-05 &  5.994e-05 &  1 \tabularnewline
48 &  3.988e-05 &  7.976e-05 &  1 \tabularnewline
49 &  0.0001744 &  0.0003487 &  0.9998 \tabularnewline
50 &  0.0001438 &  0.0002876 &  0.9999 \tabularnewline
51 &  9.519e-05 &  0.0001904 &  0.9999 \tabularnewline
52 &  6.313e-05 &  0.0001263 &  0.9999 \tabularnewline
53 &  4.436e-05 &  8.872e-05 &  1 \tabularnewline
54 &  4.616e-05 &  9.232e-05 &  1 \tabularnewline
55 &  5.317e-05 &  0.0001063 &  0.9999 \tabularnewline
56 &  6.655e-05 &  0.0001331 &  0.9999 \tabularnewline
57 &  3.77e-05 &  7.54e-05 &  1 \tabularnewline
58 &  2.599e-05 &  5.198e-05 &  1 \tabularnewline
59 &  1.475e-05 &  2.951e-05 &  1 \tabularnewline
60 &  8.441e-06 &  1.688e-05 &  1 \tabularnewline
61 &  0.0003517 &  0.0007035 &  0.9996 \tabularnewline
62 &  0.0004571 &  0.0009143 &  0.9995 \tabularnewline
63 &  0.0006236 &  0.001247 &  0.9994 \tabularnewline
64 &  0.0006232 &  0.001246 &  0.9994 \tabularnewline
65 &  0.0004261 &  0.0008522 &  0.9996 \tabularnewline
66 &  0.0004221 &  0.0008442 &  0.9996 \tabularnewline
67 &  0.0002833 &  0.0005665 &  0.9997 \tabularnewline
68 &  0.0001824 &  0.0003648 &  0.9998 \tabularnewline
69 &  0.0002316 &  0.0004633 &  0.9998 \tabularnewline
70 &  0.0001786 &  0.0003572 &  0.9998 \tabularnewline
71 &  0.0001079 &  0.0002157 &  0.9999 \tabularnewline
72 &  7.363e-05 &  0.0001473 &  0.9999 \tabularnewline
73 &  4.32e-05 &  8.641e-05 &  1 \tabularnewline
74 &  0.0001196 &  0.0002392 &  0.9999 \tabularnewline
75 &  0.0001564 &  0.0003128 &  0.9998 \tabularnewline
76 &  0.0001158 &  0.0002315 &  0.9999 \tabularnewline
77 &  7.497e-05 &  0.0001499 &  0.9999 \tabularnewline
78 &  5.881e-05 &  0.0001176 &  0.9999 \tabularnewline
79 &  3.489e-05 &  6.978e-05 &  1 \tabularnewline
80 &  2.491e-05 &  4.981e-05 &  1 \tabularnewline
81 &  1.849e-05 &  3.698e-05 &  1 \tabularnewline
82 &  1.077e-05 &  2.155e-05 &  1 \tabularnewline
83 &  7.131e-06 &  1.426e-05 &  1 \tabularnewline
84 &  4.579e-06 &  9.159e-06 &  1 \tabularnewline
85 &  2.768e-06 &  5.537e-06 &  1 \tabularnewline
86 &  3.233e-06 &  6.466e-06 &  1 \tabularnewline
87 &  5.281e-06 &  1.056e-05 &  1 \tabularnewline
88 &  3.342e-06 &  6.683e-06 &  1 \tabularnewline
89 &  2.598e-06 &  5.196e-06 &  1 \tabularnewline
90 &  3.215e-06 &  6.43e-06 &  1 \tabularnewline
91 &  3.173e-06 &  6.345e-06 &  1 \tabularnewline
92 &  3.961e-06 &  7.923e-06 &  1 \tabularnewline
93 &  2.52e-06 &  5.039e-06 &  1 \tabularnewline
94 &  1.689e-06 &  3.377e-06 &  1 \tabularnewline
95 &  1.09e-06 &  2.179e-06 &  1 \tabularnewline
96 &  6.756e-07 &  1.351e-06 &  1 \tabularnewline
97 &  4.201e-07 &  8.402e-07 &  1 \tabularnewline
98 &  2.394e-07 &  4.788e-07 &  1 \tabularnewline
99 &  1.49e-07 &  2.979e-07 &  1 \tabularnewline
100 &  8.74e-08 &  1.748e-07 &  1 \tabularnewline
101 &  6.861e-08 &  1.372e-07 &  1 \tabularnewline
102 &  6.592e-08 &  1.318e-07 &  1 \tabularnewline
103 &  7.737e-08 &  1.547e-07 &  1 \tabularnewline
104 &  1.488e-07 &  2.976e-07 &  1 \tabularnewline
105 &  2.31e-07 &  4.619e-07 &  1 \tabularnewline
106 &  4.22e-07 &  8.44e-07 &  1 \tabularnewline
107 &  9.941e-07 &  1.988e-06 &  1 \tabularnewline
108 &  7.282e-07 &  1.456e-06 &  1 \tabularnewline
109 &  1.655e-06 &  3.31e-06 &  1 \tabularnewline
110 &  1.357e-06 &  2.713e-06 &  1 \tabularnewline
111 &  8.089e-07 &  1.618e-06 &  1 \tabularnewline
112 &  1.639e-06 &  3.278e-06 &  1 \tabularnewline
113 &  1.084e-06 &  2.168e-06 &  1 \tabularnewline
114 &  1.263e-06 &  2.526e-06 &  1 \tabularnewline
115 &  1.248e-06 &  2.496e-06 &  1 \tabularnewline
116 &  8.451e-07 &  1.69e-06 &  1 \tabularnewline
117 &  1.162e-06 &  2.324e-06 &  1 \tabularnewline
118 &  6.706e-07 &  1.341e-06 &  1 \tabularnewline
119 &  4.737e-07 &  9.475e-07 &  1 \tabularnewline
120 &  1.087e-06 &  2.175e-06 &  1 \tabularnewline
121 &  6.793e-06 &  1.359e-05 &  1 \tabularnewline
122 &  1.715e-05 &  3.429e-05 &  1 \tabularnewline
123 &  1.094e-05 &  2.189e-05 &  1 \tabularnewline
124 &  7.512e-06 &  1.502e-05 &  1 \tabularnewline
125 &  5.283e-06 &  1.057e-05 &  1 \tabularnewline
126 &  5.532e-06 &  1.106e-05 &  1 \tabularnewline
127 &  1.111e-05 &  2.222e-05 &  1 \tabularnewline
128 &  0.0001463 &  0.0002925 &  0.9999 \tabularnewline
129 &  0.0003826 &  0.0007651 &  0.9996 \tabularnewline
130 &  0.0004874 &  0.0009748 &  0.9995 \tabularnewline
131 &  0.0005019 &  0.001004 &  0.9995 \tabularnewline
132 &  0.0003435 &  0.0006869 &  0.9997 \tabularnewline
133 &  0.000308 &  0.0006159 &  0.9997 \tabularnewline
134 &  0.001383 &  0.002766 &  0.9986 \tabularnewline
135 &  0.001606 &  0.003212 &  0.9984 \tabularnewline
136 &  0.001563 &  0.003127 &  0.9984 \tabularnewline
137 &  0.00169 &  0.00338 &  0.9983 \tabularnewline
138 &  0.001736 &  0.003471 &  0.9983 \tabularnewline
139 &  0.001172 &  0.002345 &  0.9988 \tabularnewline
140 &  0.001454 &  0.002907 &  0.9985 \tabularnewline
141 &  0.001229 &  0.002457 &  0.9988 \tabularnewline
142 &  0.001564 &  0.003128 &  0.9984 \tabularnewline
143 &  0.001315 &  0.002629 &  0.9987 \tabularnewline
144 &  0.004516 &  0.009032 &  0.9955 \tabularnewline
145 &  0.00392 &  0.007841 &  0.9961 \tabularnewline
146 &  0.003016 &  0.006033 &  0.997 \tabularnewline
147 &  0.002145 &  0.004291 &  0.9979 \tabularnewline
148 &  0.001384 &  0.002767 &  0.9986 \tabularnewline
149 &  0.001399 &  0.002798 &  0.9986 \tabularnewline
150 &  0.0009274 &  0.001855 &  0.9991 \tabularnewline
151 &  0.0008691 &  0.001738 &  0.9991 \tabularnewline
152 &  0.006385 &  0.01277 &  0.9936 \tabularnewline
153 &  0.03428 &  0.06855 &  0.9657 \tabularnewline
154 &  0.03054 &  0.06107 &  0.9695 \tabularnewline
155 &  0.02585 &  0.05169 &  0.9742 \tabularnewline
156 &  0.01922 &  0.03844 &  0.9808 \tabularnewline
157 &  0.08908 &  0.1782 &  0.9109 \tabularnewline
158 &  0.08425 &  0.1685 &  0.9157 \tabularnewline
159 &  0.2874 &  0.5747 &  0.7126 \tabularnewline
160 &  0.2264 &  0.4527 &  0.7736 \tabularnewline
161 &  0.1699 &  0.3398 &  0.8301 \tabularnewline
162 &  0.1293 &  0.2585 &  0.8707 \tabularnewline
163 &  0.1479 &  0.2957 &  0.8521 \tabularnewline
164 &  0.3161 &  0.6322 &  0.6839 \tabularnewline
165 &  0.4253 &  0.8507 &  0.5747 \tabularnewline
166 &  0.5209 &  0.9583 &  0.4791 \tabularnewline
167 &  0.9018 &  0.1965 &  0.09825 \tabularnewline
168 &  0.945 &  0.11 &  0.055 \tabularnewline
169 &  0.963 &  0.07409 &  0.03705 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=285537&T=5

[TABLE]
[ROW][C]Goldfeld-Quandt test for Heteroskedasticity[/C][/ROW]
[ROW][C]p-values[/C][C]Alternative Hypothesis[/C][/ROW]
[ROW][C]breakpoint index[/C][C]greater[/C][C]2-sided[/C][C]less[/C][/ROW]
[ROW][C]26[/C][C] 1.682e-46[/C][C] 3.363e-46[/C][C] 1[/C][/ROW]
[ROW][C]27[/C][C] 7.299e-62[/C][C] 1.46e-61[/C][C] 1[/C][/ROW]
[ROW][C]28[/C][C] 5.695e-74[/C][C] 1.139e-73[/C][C] 1[/C][/ROW]
[ROW][C]29[/C][C] 8.199e-88[/C][C] 1.64e-87[/C][C] 1[/C][/ROW]
[ROW][C]30[/C][C] 7.753e-103[/C][C] 1.551e-102[/C][C] 1[/C][/ROW]
[ROW][C]31[/C][C] 0.0002546[/C][C] 0.0005093[/C][C] 0.9997[/C][/ROW]
[ROW][C]32[/C][C] 6.628e-05[/C][C] 0.0001326[/C][C] 0.9999[/C][/ROW]
[ROW][C]33[/C][C] 1.635e-05[/C][C] 3.269e-05[/C][C] 1[/C][/ROW]
[ROW][C]34[/C][C] 4.921e-06[/C][C] 9.842e-06[/C][C] 1[/C][/ROW]
[ROW][C]35[/C][C] 1.493e-06[/C][C] 2.986e-06[/C][C] 1[/C][/ROW]
[ROW][C]36[/C][C] 3.664e-07[/C][C] 7.328e-07[/C][C] 1[/C][/ROW]
[ROW][C]37[/C][C] 5.204e-05[/C][C] 0.0001041[/C][C] 0.9999[/C][/ROW]
[ROW][C]38[/C][C] 2.997e-05[/C][C] 5.994e-05[/C][C] 1[/C][/ROW]
[ROW][C]39[/C][C] 0.0005278[/C][C] 0.001056[/C][C] 0.9995[/C][/ROW]
[ROW][C]40[/C][C] 0.0008676[/C][C] 0.001735[/C][C] 0.9991[/C][/ROW]
[ROW][C]41[/C][C] 0.001089[/C][C] 0.002178[/C][C] 0.9989[/C][/ROW]
[ROW][C]42[/C][C] 0.0006346[/C][C] 0.001269[/C][C] 0.9994[/C][/ROW]
[ROW][C]43[/C][C] 0.0003911[/C][C] 0.0007822[/C][C] 0.9996[/C][/ROW]
[ROW][C]44[/C][C] 0.0002189[/C][C] 0.0004377[/C][C] 0.9998[/C][/ROW]
[ROW][C]45[/C][C] 0.000102[/C][C] 0.000204[/C][C] 0.9999[/C][/ROW]
[ROW][C]46[/C][C] 5.007e-05[/C][C] 0.0001001[/C][C] 1[/C][/ROW]
[ROW][C]47[/C][C] 2.997e-05[/C][C] 5.994e-05[/C][C] 1[/C][/ROW]
[ROW][C]48[/C][C] 3.988e-05[/C][C] 7.976e-05[/C][C] 1[/C][/ROW]
[ROW][C]49[/C][C] 0.0001744[/C][C] 0.0003487[/C][C] 0.9998[/C][/ROW]
[ROW][C]50[/C][C] 0.0001438[/C][C] 0.0002876[/C][C] 0.9999[/C][/ROW]
[ROW][C]51[/C][C] 9.519e-05[/C][C] 0.0001904[/C][C] 0.9999[/C][/ROW]
[ROW][C]52[/C][C] 6.313e-05[/C][C] 0.0001263[/C][C] 0.9999[/C][/ROW]
[ROW][C]53[/C][C] 4.436e-05[/C][C] 8.872e-05[/C][C] 1[/C][/ROW]
[ROW][C]54[/C][C] 4.616e-05[/C][C] 9.232e-05[/C][C] 1[/C][/ROW]
[ROW][C]55[/C][C] 5.317e-05[/C][C] 0.0001063[/C][C] 0.9999[/C][/ROW]
[ROW][C]56[/C][C] 6.655e-05[/C][C] 0.0001331[/C][C] 0.9999[/C][/ROW]
[ROW][C]57[/C][C] 3.77e-05[/C][C] 7.54e-05[/C][C] 1[/C][/ROW]
[ROW][C]58[/C][C] 2.599e-05[/C][C] 5.198e-05[/C][C] 1[/C][/ROW]
[ROW][C]59[/C][C] 1.475e-05[/C][C] 2.951e-05[/C][C] 1[/C][/ROW]
[ROW][C]60[/C][C] 8.441e-06[/C][C] 1.688e-05[/C][C] 1[/C][/ROW]
[ROW][C]61[/C][C] 0.0003517[/C][C] 0.0007035[/C][C] 0.9996[/C][/ROW]
[ROW][C]62[/C][C] 0.0004571[/C][C] 0.0009143[/C][C] 0.9995[/C][/ROW]
[ROW][C]63[/C][C] 0.0006236[/C][C] 0.001247[/C][C] 0.9994[/C][/ROW]
[ROW][C]64[/C][C] 0.0006232[/C][C] 0.001246[/C][C] 0.9994[/C][/ROW]
[ROW][C]65[/C][C] 0.0004261[/C][C] 0.0008522[/C][C] 0.9996[/C][/ROW]
[ROW][C]66[/C][C] 0.0004221[/C][C] 0.0008442[/C][C] 0.9996[/C][/ROW]
[ROW][C]67[/C][C] 0.0002833[/C][C] 0.0005665[/C][C] 0.9997[/C][/ROW]
[ROW][C]68[/C][C] 0.0001824[/C][C] 0.0003648[/C][C] 0.9998[/C][/ROW]
[ROW][C]69[/C][C] 0.0002316[/C][C] 0.0004633[/C][C] 0.9998[/C][/ROW]
[ROW][C]70[/C][C] 0.0001786[/C][C] 0.0003572[/C][C] 0.9998[/C][/ROW]
[ROW][C]71[/C][C] 0.0001079[/C][C] 0.0002157[/C][C] 0.9999[/C][/ROW]
[ROW][C]72[/C][C] 7.363e-05[/C][C] 0.0001473[/C][C] 0.9999[/C][/ROW]
[ROW][C]73[/C][C] 4.32e-05[/C][C] 8.641e-05[/C][C] 1[/C][/ROW]
[ROW][C]74[/C][C] 0.0001196[/C][C] 0.0002392[/C][C] 0.9999[/C][/ROW]
[ROW][C]75[/C][C] 0.0001564[/C][C] 0.0003128[/C][C] 0.9998[/C][/ROW]
[ROW][C]76[/C][C] 0.0001158[/C][C] 0.0002315[/C][C] 0.9999[/C][/ROW]
[ROW][C]77[/C][C] 7.497e-05[/C][C] 0.0001499[/C][C] 0.9999[/C][/ROW]
[ROW][C]78[/C][C] 5.881e-05[/C][C] 0.0001176[/C][C] 0.9999[/C][/ROW]
[ROW][C]79[/C][C] 3.489e-05[/C][C] 6.978e-05[/C][C] 1[/C][/ROW]
[ROW][C]80[/C][C] 2.491e-05[/C][C] 4.981e-05[/C][C] 1[/C][/ROW]
[ROW][C]81[/C][C] 1.849e-05[/C][C] 3.698e-05[/C][C] 1[/C][/ROW]
[ROW][C]82[/C][C] 1.077e-05[/C][C] 2.155e-05[/C][C] 1[/C][/ROW]
[ROW][C]83[/C][C] 7.131e-06[/C][C] 1.426e-05[/C][C] 1[/C][/ROW]
[ROW][C]84[/C][C] 4.579e-06[/C][C] 9.159e-06[/C][C] 1[/C][/ROW]
[ROW][C]85[/C][C] 2.768e-06[/C][C] 5.537e-06[/C][C] 1[/C][/ROW]
[ROW][C]86[/C][C] 3.233e-06[/C][C] 6.466e-06[/C][C] 1[/C][/ROW]
[ROW][C]87[/C][C] 5.281e-06[/C][C] 1.056e-05[/C][C] 1[/C][/ROW]
[ROW][C]88[/C][C] 3.342e-06[/C][C] 6.683e-06[/C][C] 1[/C][/ROW]
[ROW][C]89[/C][C] 2.598e-06[/C][C] 5.196e-06[/C][C] 1[/C][/ROW]
[ROW][C]90[/C][C] 3.215e-06[/C][C] 6.43e-06[/C][C] 1[/C][/ROW]
[ROW][C]91[/C][C] 3.173e-06[/C][C] 6.345e-06[/C][C] 1[/C][/ROW]
[ROW][C]92[/C][C] 3.961e-06[/C][C] 7.923e-06[/C][C] 1[/C][/ROW]
[ROW][C]93[/C][C] 2.52e-06[/C][C] 5.039e-06[/C][C] 1[/C][/ROW]
[ROW][C]94[/C][C] 1.689e-06[/C][C] 3.377e-06[/C][C] 1[/C][/ROW]
[ROW][C]95[/C][C] 1.09e-06[/C][C] 2.179e-06[/C][C] 1[/C][/ROW]
[ROW][C]96[/C][C] 6.756e-07[/C][C] 1.351e-06[/C][C] 1[/C][/ROW]
[ROW][C]97[/C][C] 4.201e-07[/C][C] 8.402e-07[/C][C] 1[/C][/ROW]
[ROW][C]98[/C][C] 2.394e-07[/C][C] 4.788e-07[/C][C] 1[/C][/ROW]
[ROW][C]99[/C][C] 1.49e-07[/C][C] 2.979e-07[/C][C] 1[/C][/ROW]
[ROW][C]100[/C][C] 8.74e-08[/C][C] 1.748e-07[/C][C] 1[/C][/ROW]
[ROW][C]101[/C][C] 6.861e-08[/C][C] 1.372e-07[/C][C] 1[/C][/ROW]
[ROW][C]102[/C][C] 6.592e-08[/C][C] 1.318e-07[/C][C] 1[/C][/ROW]
[ROW][C]103[/C][C] 7.737e-08[/C][C] 1.547e-07[/C][C] 1[/C][/ROW]
[ROW][C]104[/C][C] 1.488e-07[/C][C] 2.976e-07[/C][C] 1[/C][/ROW]
[ROW][C]105[/C][C] 2.31e-07[/C][C] 4.619e-07[/C][C] 1[/C][/ROW]
[ROW][C]106[/C][C] 4.22e-07[/C][C] 8.44e-07[/C][C] 1[/C][/ROW]
[ROW][C]107[/C][C] 9.941e-07[/C][C] 1.988e-06[/C][C] 1[/C][/ROW]
[ROW][C]108[/C][C] 7.282e-07[/C][C] 1.456e-06[/C][C] 1[/C][/ROW]
[ROW][C]109[/C][C] 1.655e-06[/C][C] 3.31e-06[/C][C] 1[/C][/ROW]
[ROW][C]110[/C][C] 1.357e-06[/C][C] 2.713e-06[/C][C] 1[/C][/ROW]
[ROW][C]111[/C][C] 8.089e-07[/C][C] 1.618e-06[/C][C] 1[/C][/ROW]
[ROW][C]112[/C][C] 1.639e-06[/C][C] 3.278e-06[/C][C] 1[/C][/ROW]
[ROW][C]113[/C][C] 1.084e-06[/C][C] 2.168e-06[/C][C] 1[/C][/ROW]
[ROW][C]114[/C][C] 1.263e-06[/C][C] 2.526e-06[/C][C] 1[/C][/ROW]
[ROW][C]115[/C][C] 1.248e-06[/C][C] 2.496e-06[/C][C] 1[/C][/ROW]
[ROW][C]116[/C][C] 8.451e-07[/C][C] 1.69e-06[/C][C] 1[/C][/ROW]
[ROW][C]117[/C][C] 1.162e-06[/C][C] 2.324e-06[/C][C] 1[/C][/ROW]
[ROW][C]118[/C][C] 6.706e-07[/C][C] 1.341e-06[/C][C] 1[/C][/ROW]
[ROW][C]119[/C][C] 4.737e-07[/C][C] 9.475e-07[/C][C] 1[/C][/ROW]
[ROW][C]120[/C][C] 1.087e-06[/C][C] 2.175e-06[/C][C] 1[/C][/ROW]
[ROW][C]121[/C][C] 6.793e-06[/C][C] 1.359e-05[/C][C] 1[/C][/ROW]
[ROW][C]122[/C][C] 1.715e-05[/C][C] 3.429e-05[/C][C] 1[/C][/ROW]
[ROW][C]123[/C][C] 1.094e-05[/C][C] 2.189e-05[/C][C] 1[/C][/ROW]
[ROW][C]124[/C][C] 7.512e-06[/C][C] 1.502e-05[/C][C] 1[/C][/ROW]
[ROW][C]125[/C][C] 5.283e-06[/C][C] 1.057e-05[/C][C] 1[/C][/ROW]
[ROW][C]126[/C][C] 5.532e-06[/C][C] 1.106e-05[/C][C] 1[/C][/ROW]
[ROW][C]127[/C][C] 1.111e-05[/C][C] 2.222e-05[/C][C] 1[/C][/ROW]
[ROW][C]128[/C][C] 0.0001463[/C][C] 0.0002925[/C][C] 0.9999[/C][/ROW]
[ROW][C]129[/C][C] 0.0003826[/C][C] 0.0007651[/C][C] 0.9996[/C][/ROW]
[ROW][C]130[/C][C] 0.0004874[/C][C] 0.0009748[/C][C] 0.9995[/C][/ROW]
[ROW][C]131[/C][C] 0.0005019[/C][C] 0.001004[/C][C] 0.9995[/C][/ROW]
[ROW][C]132[/C][C] 0.0003435[/C][C] 0.0006869[/C][C] 0.9997[/C][/ROW]
[ROW][C]133[/C][C] 0.000308[/C][C] 0.0006159[/C][C] 0.9997[/C][/ROW]
[ROW][C]134[/C][C] 0.001383[/C][C] 0.002766[/C][C] 0.9986[/C][/ROW]
[ROW][C]135[/C][C] 0.001606[/C][C] 0.003212[/C][C] 0.9984[/C][/ROW]
[ROW][C]136[/C][C] 0.001563[/C][C] 0.003127[/C][C] 0.9984[/C][/ROW]
[ROW][C]137[/C][C] 0.00169[/C][C] 0.00338[/C][C] 0.9983[/C][/ROW]
[ROW][C]138[/C][C] 0.001736[/C][C] 0.003471[/C][C] 0.9983[/C][/ROW]
[ROW][C]139[/C][C] 0.001172[/C][C] 0.002345[/C][C] 0.9988[/C][/ROW]
[ROW][C]140[/C][C] 0.001454[/C][C] 0.002907[/C][C] 0.9985[/C][/ROW]
[ROW][C]141[/C][C] 0.001229[/C][C] 0.002457[/C][C] 0.9988[/C][/ROW]
[ROW][C]142[/C][C] 0.001564[/C][C] 0.003128[/C][C] 0.9984[/C][/ROW]
[ROW][C]143[/C][C] 0.001315[/C][C] 0.002629[/C][C] 0.9987[/C][/ROW]
[ROW][C]144[/C][C] 0.004516[/C][C] 0.009032[/C][C] 0.9955[/C][/ROW]
[ROW][C]145[/C][C] 0.00392[/C][C] 0.007841[/C][C] 0.9961[/C][/ROW]
[ROW][C]146[/C][C] 0.003016[/C][C] 0.006033[/C][C] 0.997[/C][/ROW]
[ROW][C]147[/C][C] 0.002145[/C][C] 0.004291[/C][C] 0.9979[/C][/ROW]
[ROW][C]148[/C][C] 0.001384[/C][C] 0.002767[/C][C] 0.9986[/C][/ROW]
[ROW][C]149[/C][C] 0.001399[/C][C] 0.002798[/C][C] 0.9986[/C][/ROW]
[ROW][C]150[/C][C] 0.0009274[/C][C] 0.001855[/C][C] 0.9991[/C][/ROW]
[ROW][C]151[/C][C] 0.0008691[/C][C] 0.001738[/C][C] 0.9991[/C][/ROW]
[ROW][C]152[/C][C] 0.006385[/C][C] 0.01277[/C][C] 0.9936[/C][/ROW]
[ROW][C]153[/C][C] 0.03428[/C][C] 0.06855[/C][C] 0.9657[/C][/ROW]
[ROW][C]154[/C][C] 0.03054[/C][C] 0.06107[/C][C] 0.9695[/C][/ROW]
[ROW][C]155[/C][C] 0.02585[/C][C] 0.05169[/C][C] 0.9742[/C][/ROW]
[ROW][C]156[/C][C] 0.01922[/C][C] 0.03844[/C][C] 0.9808[/C][/ROW]
[ROW][C]157[/C][C] 0.08908[/C][C] 0.1782[/C][C] 0.9109[/C][/ROW]
[ROW][C]158[/C][C] 0.08425[/C][C] 0.1685[/C][C] 0.9157[/C][/ROW]
[ROW][C]159[/C][C] 0.2874[/C][C] 0.5747[/C][C] 0.7126[/C][/ROW]
[ROW][C]160[/C][C] 0.2264[/C][C] 0.4527[/C][C] 0.7736[/C][/ROW]
[ROW][C]161[/C][C] 0.1699[/C][C] 0.3398[/C][C] 0.8301[/C][/ROW]
[ROW][C]162[/C][C] 0.1293[/C][C] 0.2585[/C][C] 0.8707[/C][/ROW]
[ROW][C]163[/C][C] 0.1479[/C][C] 0.2957[/C][C] 0.8521[/C][/ROW]
[ROW][C]164[/C][C] 0.3161[/C][C] 0.6322[/C][C] 0.6839[/C][/ROW]
[ROW][C]165[/C][C] 0.4253[/C][C] 0.8507[/C][C] 0.5747[/C][/ROW]
[ROW][C]166[/C][C] 0.5209[/C][C] 0.9583[/C][C] 0.4791[/C][/ROW]
[ROW][C]167[/C][C] 0.9018[/C][C] 0.1965[/C][C] 0.09825[/C][/ROW]
[ROW][C]168[/C][C] 0.945[/C][C] 0.11[/C][C] 0.055[/C][/ROW]
[ROW][C]169[/C][C] 0.963[/C][C] 0.07409[/C][C] 0.03705[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=285537&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=285537&T=5

As an alternative you can also use a QR Code:  
QR Code


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

Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
26 1.682e-46 3.363e-46 1
27 7.299e-62 1.46e-61 1
28 5.695e-74 1.139e-73 1
29 8.199e-88 1.64e-87 1
30 7.753e-103 1.551e-102 1
31 0.0002546 0.0005093 0.9997
32 6.628e-05 0.0001326 0.9999
33 1.635e-05 3.269e-05 1
34 4.921e-06 9.842e-06 1
35 1.493e-06 2.986e-06 1
36 3.664e-07 7.328e-07 1
37 5.204e-05 0.0001041 0.9999
38 2.997e-05 5.994e-05 1
39 0.0005278 0.001056 0.9995
40 0.0008676 0.001735 0.9991
41 0.001089 0.002178 0.9989
42 0.0006346 0.001269 0.9994
43 0.0003911 0.0007822 0.9996
44 0.0002189 0.0004377 0.9998
45 0.000102 0.000204 0.9999
46 5.007e-05 0.0001001 1
47 2.997e-05 5.994e-05 1
48 3.988e-05 7.976e-05 1
49 0.0001744 0.0003487 0.9998
50 0.0001438 0.0002876 0.9999
51 9.519e-05 0.0001904 0.9999
52 6.313e-05 0.0001263 0.9999
53 4.436e-05 8.872e-05 1
54 4.616e-05 9.232e-05 1
55 5.317e-05 0.0001063 0.9999
56 6.655e-05 0.0001331 0.9999
57 3.77e-05 7.54e-05 1
58 2.599e-05 5.198e-05 1
59 1.475e-05 2.951e-05 1
60 8.441e-06 1.688e-05 1
61 0.0003517 0.0007035 0.9996
62 0.0004571 0.0009143 0.9995
63 0.0006236 0.001247 0.9994
64 0.0006232 0.001246 0.9994
65 0.0004261 0.0008522 0.9996
66 0.0004221 0.0008442 0.9996
67 0.0002833 0.0005665 0.9997
68 0.0001824 0.0003648 0.9998
69 0.0002316 0.0004633 0.9998
70 0.0001786 0.0003572 0.9998
71 0.0001079 0.0002157 0.9999
72 7.363e-05 0.0001473 0.9999
73 4.32e-05 8.641e-05 1
74 0.0001196 0.0002392 0.9999
75 0.0001564 0.0003128 0.9998
76 0.0001158 0.0002315 0.9999
77 7.497e-05 0.0001499 0.9999
78 5.881e-05 0.0001176 0.9999
79 3.489e-05 6.978e-05 1
80 2.491e-05 4.981e-05 1
81 1.849e-05 3.698e-05 1
82 1.077e-05 2.155e-05 1
83 7.131e-06 1.426e-05 1
84 4.579e-06 9.159e-06 1
85 2.768e-06 5.537e-06 1
86 3.233e-06 6.466e-06 1
87 5.281e-06 1.056e-05 1
88 3.342e-06 6.683e-06 1
89 2.598e-06 5.196e-06 1
90 3.215e-06 6.43e-06 1
91 3.173e-06 6.345e-06 1
92 3.961e-06 7.923e-06 1
93 2.52e-06 5.039e-06 1
94 1.689e-06 3.377e-06 1
95 1.09e-06 2.179e-06 1
96 6.756e-07 1.351e-06 1
97 4.201e-07 8.402e-07 1
98 2.394e-07 4.788e-07 1
99 1.49e-07 2.979e-07 1
100 8.74e-08 1.748e-07 1
101 6.861e-08 1.372e-07 1
102 6.592e-08 1.318e-07 1
103 7.737e-08 1.547e-07 1
104 1.488e-07 2.976e-07 1
105 2.31e-07 4.619e-07 1
106 4.22e-07 8.44e-07 1
107 9.941e-07 1.988e-06 1
108 7.282e-07 1.456e-06 1
109 1.655e-06 3.31e-06 1
110 1.357e-06 2.713e-06 1
111 8.089e-07 1.618e-06 1
112 1.639e-06 3.278e-06 1
113 1.084e-06 2.168e-06 1
114 1.263e-06 2.526e-06 1
115 1.248e-06 2.496e-06 1
116 8.451e-07 1.69e-06 1
117 1.162e-06 2.324e-06 1
118 6.706e-07 1.341e-06 1
119 4.737e-07 9.475e-07 1
120 1.087e-06 2.175e-06 1
121 6.793e-06 1.359e-05 1
122 1.715e-05 3.429e-05 1
123 1.094e-05 2.189e-05 1
124 7.512e-06 1.502e-05 1
125 5.283e-06 1.057e-05 1
126 5.532e-06 1.106e-05 1
127 1.111e-05 2.222e-05 1
128 0.0001463 0.0002925 0.9999
129 0.0003826 0.0007651 0.9996
130 0.0004874 0.0009748 0.9995
131 0.0005019 0.001004 0.9995
132 0.0003435 0.0006869 0.9997
133 0.000308 0.0006159 0.9997
134 0.001383 0.002766 0.9986
135 0.001606 0.003212 0.9984
136 0.001563 0.003127 0.9984
137 0.00169 0.00338 0.9983
138 0.001736 0.003471 0.9983
139 0.001172 0.002345 0.9988
140 0.001454 0.002907 0.9985
141 0.001229 0.002457 0.9988
142 0.001564 0.003128 0.9984
143 0.001315 0.002629 0.9987
144 0.004516 0.009032 0.9955
145 0.00392 0.007841 0.9961
146 0.003016 0.006033 0.997
147 0.002145 0.004291 0.9979
148 0.001384 0.002767 0.9986
149 0.001399 0.002798 0.9986
150 0.0009274 0.001855 0.9991
151 0.0008691 0.001738 0.9991
152 0.006385 0.01277 0.9936
153 0.03428 0.06855 0.9657
154 0.03054 0.06107 0.9695
155 0.02585 0.05169 0.9742
156 0.01922 0.03844 0.9808
157 0.08908 0.1782 0.9109
158 0.08425 0.1685 0.9157
159 0.2874 0.5747 0.7126
160 0.2264 0.4527 0.7736
161 0.1699 0.3398 0.8301
162 0.1293 0.2585 0.8707
163 0.1479 0.2957 0.8521
164 0.3161 0.6322 0.6839
165 0.4253 0.8507 0.5747
166 0.5209 0.9583 0.4791
167 0.9018 0.1965 0.09825
168 0.945 0.11 0.055
169 0.963 0.07409 0.03705






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level126 0.875NOK
5% type I error level1280.888889NOK
10% type I error level1320.916667NOK

\begin{tabular}{lllllllll}
\hline
Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
Description & # significant tests & % significant tests & OK/NOK \tabularnewline
1% type I error level & 126 &  0.875 & NOK \tabularnewline
5% type I error level & 128 & 0.888889 & NOK \tabularnewline
10% type I error level & 132 & 0.916667 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=285537&T=6

[TABLE]
[ROW][C]Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity[/C][/ROW]
[ROW][C]Description[/C][C]# significant tests[/C][C]% significant tests[/C][C]OK/NOK[/C][/ROW]
[ROW][C]1% type I error level[/C][C]126[/C][C] 0.875[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]128[/C][C]0.888889[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]132[/C][C]0.916667[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=285537&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=285537&T=6

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

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level126 0.875NOK
5% type I error level1280.888889NOK
10% type I error level1320.916667NOK


Figures (Output of Computation)

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Figure 10
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Input Parameters & R Code

Parameters (Session):
par1 = 1 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;
Parameters (R input):
par1 = 1 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ; par4 = ; par5 = ;
R code (references can be found in the software module):
library(lattice)
library(lmtest)
n25 <- 25 #minimum number of obs. for Goldfeld-Quandt test
mywarning <- ''
par1 <- as.numeric(par1)
if(is.na(par1)) {
par1 <- 1
mywarning = 'Warning: you did not specify the column number of the endogenous series! The first column was selected by default.'
}
if (par4=='') par4 <- 0
par4 <- as.numeric(par4)
if (par5=='') par5 <- 0
par5 <- as.numeric(par5)
x <- na.omit(t(y))
k <- length(x[1,])
n <- length(x[,1])
x1 <- cbind(x[,par1], x[,1:k!=par1])
mycolnames <- c(colnames(x)[par1], colnames(x)[1:k!=par1])
colnames(x1) <- mycolnames #colnames(x)[par1]
x <- x1
if (par3 == 'First Differences'){
(n <- n -1)
x2 <- array(0, dim=c(n,k), dimnames=list(1:n, paste('(1-B)',colnames(x),sep='')))
for (i in 1:n) {
for (j in 1:k) {
x2[i,j] <- x[i+1,j] - x[i,j]
}
}
x <- x2
}
if (par3 == 'Seasonal Differences (s=12)'){
(n <- n - 12)
x2 <- array(0, dim=c(n,k), dimnames=list(1:n, paste('(1-B12)',colnames(x),sep='')))
for (i in 1:n) {
for (j in 1:k) {
x2[i,j] <- x[i+12,j] - x[i,j]
}
}
x <- x2
}
if (par3 == 'First and Seasonal Differences (s=12)'){
(n <- n -1)
x2 <- array(0, dim=c(n,k), dimnames=list(1:n, paste('(1-B)',colnames(x),sep='')))
for (i in 1:n) {
for (j in 1:k) {
x2[i,j] <- x[i+1,j] - x[i,j]
}
}
x <- x2
(n <- n - 12)
x2 <- array(0, dim=c(n,k), dimnames=list(1:n, paste('(1-B12)',colnames(x),sep='')))
for (i in 1:n) {
for (j in 1:k) {
x2[i,j] <- x[i+12,j] - x[i,j]
}
}
x <- x2
}
if(par4 > 0) {
x2 <- array(0, dim=c(n-par4,par4), dimnames=list(1:(n-par4), paste(colnames(x)[par1],'(t-',1:par4,')',sep='')))
for (i in 1:(n-par4)) {
for (j in 1:par4) {
x2[i,j] <- x[i+par4-j,par1]
}
}
x <- cbind(x[(par4+1):n,], x2)
n <- n - par4
}
if(par5 > 0) {
x2 <- array(0, dim=c(n-par5*12,par5), dimnames=list(1:(n-par5*12), paste(colnames(x)[par1],'(t-',1:par5,'s)',sep='')))
for (i in 1:(n-par5*12)) {
for (j in 1:par5) {
x2[i,j] <- x[i+par5*12-j*12,par1]
}
}
x <- cbind(x[(par5*12+1):n,], x2)
n <- n - par5*12
}
if (par2 == 'Include Monthly Dummies'){
x2 <- array(0, dim=c(n,11), dimnames=list(1:n, paste('M', seq(1:11), sep ='')))
for (i in 1:11){
x2[seq(i,n,12),i] <- 1
}
x <- cbind(x, x2)
}
if (par2 == 'Include Quarterly Dummies'){
x2 <- array(0, dim=c(n,3), dimnames=list(1:n, paste('Q', seq(1:3), sep ='')))
for (i in 1:3){
x2[seq(i,n,4),i] <- 1
}
x <- cbind(x, x2)
}
(k <- length(x[n,]))
if (par3 == 'Linear Trend'){
x <- cbind(x, c(1:n))
colnames(x)[k+1] <- 't'
}
x
(k <- length(x[n,]))
head(x)
df <- as.data.frame(x)
(mylm <- lm(df))
(mysum <- summary(mylm))
if (n > n25) {
kp3 <- k + 3
nmkm3 <- n - k - 3
gqarr <- array(NA, dim=c(nmkm3-kp3+1,3))
numgqtests <- 0
numsignificant1 <- 0
numsignificant5 <- 0
numsignificant10 <- 0
for (mypoint in kp3:nmkm3) {
j <- 0
numgqtests <- numgqtests + 1
for (myalt in c('greater', 'two.sided', 'less')) {
j <- j + 1
gqarr[mypoint-kp3+1,j] <- gqtest(mylm, point=mypoint, alternative=myalt)$p.value
}
if (gqarr[mypoint-kp3+1,2] < 0.01) numsignificant1 <- numsignificant1 + 1
if (gqarr[mypoint-kp3+1,2] < 0.05) numsignificant5 <- numsignificant5 + 1
if (gqarr[mypoint-kp3+1,2] < 0.10) numsignificant10 <- numsignificant10 + 1
}
gqarr
}
bitmap(file='test0.png')
plot(x[,1], type='l', main='Actuals and Interpolation', ylab='value of Actuals and Interpolation (dots)', xlab='time or index')
points(x[,1]-mysum$resid)
grid()
dev.off()
bitmap(file='test1.png')
plot(mysum$resid, type='b', pch=19, main='Residuals', ylab='value of Residuals', xlab='time or index')
grid()
dev.off()
bitmap(file='test2.png')
hist(mysum$resid, main='Residual Histogram', xlab='values of Residuals')
grid()
dev.off()
bitmap(file='test3.png')
densityplot(~mysum$resid,col='black',main='Residual Density Plot', xlab='values of Residuals')
dev.off()
bitmap(file='test4.png')
qqnorm(mysum$resid, main='Residual Normal Q-Q Plot')
qqline(mysum$resid)
grid()
dev.off()
(myerror <- as.ts(mysum$resid))
bitmap(file='test5.png')
dum <- cbind(lag(myerror,k=1),myerror)
dum
dum1 <- dum[2:length(myerror),]
dum1
z <- as.data.frame(dum1)
z
plot(z,main=paste('Residual Lag plot, lowess, and regression line'), ylab='values of Residuals', xlab='lagged values of Residuals')
lines(lowess(z))
abline(lm(z))
grid()
dev.off()
bitmap(file='test6.png')
acf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Autocorrelation Function')
grid()
dev.off()
bitmap(file='test7.png')
pacf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Partial Autocorrelation Function')
grid()
dev.off()
bitmap(file='test8.png')
opar <- par(mfrow = c(2,2), oma = c(0, 0, 1.1, 0))
plot(mylm, las = 1, sub='Residual Diagnostics')
par(opar)
dev.off()
if (n > n25) {
bitmap(file='test9.png')
plot(kp3:nmkm3,gqarr[,2], main='Goldfeld-Quandt test',ylab='2-sided p-value',xlab='breakpoint')
grid()
dev.off()
}
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Estimated Regression Equation', 1, TRUE)
a<-table.row.end(a)
myeq <- colnames(x)[1]
myeq <- paste(myeq, '[t] = ', sep='')
for (i in 1:k){
if (mysum$coefficients[i,1] > 0) myeq <- paste(myeq, '+', '')
myeq <- paste(myeq, signif(mysum$coefficients[i,1],6), sep=' ')
if (rownames(mysum$coefficients)[i] != '(Intercept)') {
myeq <- paste(myeq, rownames(mysum$coefficients)[i], sep='')
if (rownames(mysum$coefficients)[i] != 't') myeq <- paste(myeq, '[t]', sep='')
}
}
myeq <- paste(myeq, ' + e[t]')
a<-table.row.start(a)
a<-table.element(a, myeq)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, mywarning)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable1.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,hyperlink('ols1.htm','Multiple Linear Regression - Ordinary Least Squares',''), 6, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Variable',header=TRUE)
a<-table.element(a,'Parameter',header=TRUE)
a<-table.element(a,'S.D.',header=TRUE)
a<-table.element(a,'T-STAT
H0: parameter = 0',header=TRUE)
a<-table.element(a,'2-tail p-value',header=TRUE)
a<-table.element(a,'1-tail p-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:k){
a<-table.row.start(a)
a<-table.element(a,rownames(mysum$coefficients)[i],header=TRUE)
a<-table.element(a,formatC(signif(mysum$coefficients[i,1],5),format='g',flag='+'))
a<-table.element(a,formatC(signif(mysum$coefficients[i,2],5),format='g',flag=' '))
a<-table.element(a,formatC(signif(mysum$coefficients[i,3],4),format='e',flag='+'))
a<-table.element(a,formatC(signif(mysum$coefficients[i,4],4),format='g',flag=' '))
a<-table.element(a,formatC(signif(mysum$coefficients[i,4]/2,4),format='g',flag=' '))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable2.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Regression Statistics', 2, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Multiple R',1,TRUE)
a<-table.element(a,formatC(signif(sqrt(mysum$r.squared),6),format='g',flag=' '))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'R-squared',1,TRUE)
a<-table.element(a,formatC(signif(mysum$r.squared,6),format='g',flag=' '))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Adjusted R-squared',1,TRUE)
a<-table.element(a,formatC(signif(mysum$adj.r.squared,6),format='g',flag=' '))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (value)',1,TRUE)
a<-table.element(a,formatC(signif(mysum$fstatistic[1],6),format='g',flag=' '))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (DF numerator)',1,TRUE)
a<-table.element(a, signif(mysum$fstatistic[2],6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (DF denominator)',1,TRUE)
a<-table.element(a, signif(mysum$fstatistic[3],6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'p-value',1,TRUE)
a<-table.element(a,formatC(signif(1-pf(mysum$fstatistic[1],mysum$fstatistic[2],mysum$fstatistic[3]),6),format='g',flag=' '))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Residual Statistics', 2, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Residual Standard Deviation',1,TRUE)
a<-table.element(a,formatC(signif(mysum$sigma,6),format='g',flag=' '))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Sum Squared Residuals',1,TRUE)
a<-table.element(a,formatC(signif(sum(myerror*myerror),6),format='g',flag=' '))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable3.tab')
if(n < 200) {
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Actuals, Interpolation, and Residuals', 4, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Time or Index', 1, TRUE)
a<-table.element(a, 'Actuals', 1, TRUE)
a<-table.element(a, 'Interpolation
Forecast', 1, TRUE)
a<-table.element(a, 'Residuals
Prediction Error', 1, TRUE)
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,i, 1, TRUE)
a<-table.element(a,formatC(signif(x[i],6),format='g',flag=' '))
a<-table.element(a,formatC(signif(x[i]-mysum$resid[i],6),format='g',flag=' '))
a<-table.element(a,formatC(signif(mysum$resid[i],6),format='g',flag=' '))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable4.tab')
if (n > n25) {
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Goldfeld-Quandt test for Heteroskedasticity',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'p-values',header=TRUE)
a<-table.element(a,'Alternative Hypothesis',3,header=TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'breakpoint index',header=TRUE)
a<-table.element(a,'greater',header=TRUE)
a<-table.element(a,'2-sided',header=TRUE)
a<-table.element(a,'less',header=TRUE)
a<-table.row.end(a)
for (mypoint in kp3:nmkm3) {
a<-table.row.start(a)
a<-table.element(a,mypoint,header=TRUE)
a<-table.element(a,formatC(signif(gqarr[mypoint-kp3+1,1],6),format='g',flag=' '))
a<-table.element(a,formatC(signif(gqarr[mypoint-kp3+1,2],6),format='g',flag=' '))
a<-table.element(a,formatC(signif(gqarr[mypoint-kp3+1,3],6),format='g',flag=' '))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable5.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Description',header=TRUE)
a<-table.element(a,'# significant tests',header=TRUE)
a<-table.element(a,'% significant tests',header=TRUE)
a<-table.element(a,'OK/NOK',header=TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'1% type I error level',header=TRUE)
a<-table.element(a,signif(numsignificant1,6))
a<-table.element(a,formatC(signif(numsignificant1/numgqtests,6),format='g',flag=' '))
if (numsignificant1/numgqtests < 0.01) dum <- 'OK' else dum <- 'NOK'
a<-table.element(a,dum)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'5% type I error level',header=TRUE)
a<-table.element(a,signif(numsignificant5,6))
a<-table.element(a,signif(numsignificant5/numgqtests,6))
if (numsignificant5/numgqtests < 0.05) dum <- 'OK' else dum <- 'NOK'
a<-table.element(a,dum)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'10% type I error level',header=TRUE)
a<-table.element(a,signif(numsignificant10,6))
a<-table.element(a,signif(numsignificant10/numgqtests,6))
if (numsignificant10/numgqtests < 0.1) dum <- 'OK' else dum <- 'NOK'
a<-table.element(a,dum)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable6.tab')
}
}