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R Software Module

rwasp_multipleregression.wasp

Title produced by software

Multiple Regression

Date of computation

Wed, 11 Dec 2013 16:16:08 -0500

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Dec/11/t1386796690gop2z71dbmmdq64.htm/, Retrieved Tue, 16 Apr 2024 16:46:22 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=232187, Retrieved Tue, 16 Apr 2024 16:46:22 +0000

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User-defined keywords

Estimated Impact

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-     [Recursive Partitioning (Regression Trees)] [] [2010-12-05 18:59:57] [b98453cac15ba1066b407e146608df68]
- R PD  [Recursive Partitioning (Regression Trees)] [WS10 boom] [2013-12-07 13:07:21] [bc4116cebb320aaf00e97176fa7e6356]
- RMPD      [Multiple Regression] [WS10 3] [2013-12-11 21:16:08] [d36997adcafcba0a4d18dd87f1a174ea] [Current]

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Dataseries X:

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Histogram

Boxplots

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

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	28 seconds
R Server	'Herman Ole Andreas Wold' @ wold.wessa.net
R Framework error message	Warning: there are blank lines in the 'Data X' field. Please, use NA for missing data - blank lines are simply deleted and are NOT treated as missing values.

\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 & 28 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
R Framework error message & Warning: there are blank lines in the 'Data X' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values. \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232187&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]28 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[ROW][C]R Framework error message[/C][C]Warning: there are blank lines in the 'Data X' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=232187&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232187&T=0

As an alternative you can also use a QR Code:

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

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	28 seconds
R Server	'Herman Ole Andreas Wold' @ wold.wessa.net
R Framework error message	Warning: there are blank lines in the 'Data X' field. Please, use NA for missing data - blank lines are simply deleted and are NOT treated as missing values.

Multiple Linear Regression - Estimated Regression Equation
status[t] = + 1.58337 -0.00239461`MDVP:Fo(Hz)`[t] -0.000138695`MDVP:Fhi(Hz)`[t] -0.00159563`MDVP:Flo(Hz)`[t] -168.038`MDVP:Jitter(%)`[t] -4462.28`MDVP:Jitter(Abs)`[t] -16.7296`MDVP:PPQ`[t] + 103.68`Jitter:DDP`[t] + 32.8725`MDVP:Shimmer`[t] -1635.56`Shimmer:APQ3`[t] -26.0714`Shimmer:APQ5`[t] -3.55789`MDVP:APQ`[t] + 539.3`Shimmer:DDA`[t] -2.25465NHR[t] -0.771266RPDE[t] + 0.403792DFA[t] + 0.128479spread1[t] + 1.1317spread2[t] + 0.103034D2[t] + 1.23075PPE[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
status[t] =  +  1.58337 -0.00239461`MDVP:Fo(Hz)`[t] -0.000138695`MDVP:Fhi(Hz)`[t] -0.00159563`MDVP:Flo(Hz)`[t] -168.038`MDVP:Jitter(%)`[t] -4462.28`MDVP:Jitter(Abs)`[t] -16.7296`MDVP:PPQ`[t] +  103.68`Jitter:DDP`[t] +  32.8725`MDVP:Shimmer`[t] -1635.56`Shimmer:APQ3`[t] -26.0714`Shimmer:APQ5`[t] -3.55789`MDVP:APQ`[t] +  539.3`Shimmer:DDA`[t] -2.25465NHR[t] -0.771266RPDE[t] +  0.403792DFA[t] +  0.128479spread1[t] +  1.1317spread2[t] +  0.103034D2[t] +  1.23075PPE[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232187&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]status[t] =  +  1.58337 -0.00239461`MDVP:Fo(Hz)`[t] -0.000138695`MDVP:Fhi(Hz)`[t] -0.00159563`MDVP:Flo(Hz)`[t] -168.038`MDVP:Jitter(%)`[t] -4462.28`MDVP:Jitter(Abs)`[t] -16.7296`MDVP:PPQ`[t] +  103.68`Jitter:DDP`[t] +  32.8725`MDVP:Shimmer`[t] -1635.56`Shimmer:APQ3`[t] -26.0714`Shimmer:APQ5`[t] -3.55789`MDVP:APQ`[t] +  539.3`Shimmer:DDA`[t] -2.25465NHR[t] -0.771266RPDE[t] +  0.403792DFA[t] +  0.128479spread1[t] +  1.1317spread2[t] +  0.103034D2[t] +  1.23075PPE[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=232187&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232187&T=1

As an alternative you can also use a QR Code:

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

Multiple Linear Regression - Estimated Regression Equation
status[t] = + 1.58337 -0.00239461`MDVP:Fo(Hz)`[t] -0.000138695`MDVP:Fhi(Hz)`[t] -0.00159563`MDVP:Flo(Hz)`[t] -168.038`MDVP:Jitter(%)`[t] -4462.28`MDVP:Jitter(Abs)`[t] -16.7296`MDVP:PPQ`[t] + 103.68`Jitter:DDP`[t] + 32.8725`MDVP:Shimmer`[t] -1635.56`Shimmer:APQ3`[t] -26.0714`Shimmer:APQ5`[t] -3.55789`MDVP:APQ`[t] + 539.3`Shimmer:DDA`[t] -2.25465NHR[t] -0.771266RPDE[t] + 0.403792DFA[t] + 0.128479spread1[t] + 1.1317spread2[t] + 0.103034D2[t] + 1.23075PPE[t] + e[t]

Multiple Linear Regression - Ordinary Least Squares
Variable	Parameter	S.D.	T-STATH0: parameter = 0	2-tail p-value	1-tail p-value
(Intercept)	1.58337	0.955813	1.657	0.0993995	0.0496997
`MDVP:Fo(Hz)`	-0.00239461	0.00149401	-1.603	0.110781	0.0553907
`MDVP:Fhi(Hz)`	-0.000138695	0.000316545	-0.4382	0.661816	0.330908
`MDVP:Flo(Hz)`	-0.00159563	0.000794803	-2.008	0.0462265	0.0231133
`MDVP:Jitter(%)`	-168.038	66.2983	-2.535	0.0121352	0.00606758
`MDVP:Jitter(Abs)`	-4462.28	4514.26	-0.9885	0.32428	0.16214
`MDVP:PPQ`	-16.7296	82.0259	-0.204	0.838625	0.419313
`Jitter:DDP`	103.68	26.4823	3.915	0.000129327	6.46633e-05
`MDVP:Shimmer`	32.8725	29.2664	1.123	0.262884	0.131442
`Shimmer:APQ3`	-1635.56	8870.09	-0.1844	0.85392	0.42696
`Shimmer:APQ5`	-26.0714	19.3875	-1.345	0.180445	0.0902227
`MDVP:APQ`	-3.55789	10.6889	-0.3329	0.739639	0.36982
`Shimmer:DDA`	539.3	2956.16	0.1824	0.855454	0.427727
NHR	-2.25465	1.95588	-1.153	0.250583	0.125291
RPDE	-0.771266	0.357178	-2.159	0.0321856	0.0160928
DFA	0.403792	0.725173	0.5568	0.578361	0.28918
spread1	0.128479	0.0967595	1.328	0.185969	0.0929844
spread2	1.1317	0.45852	2.468	0.0145419	0.00727096
D2	0.103034	0.104534	0.9857	0.325662	0.162831
PPE	1.23075	1.31587	0.9353	0.350916	0.175458

\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) & 1.58337 & 0.955813 & 1.657 & 0.0993995 & 0.0496997 \tabularnewline
`MDVP:Fo(Hz)` & -0.00239461 & 0.00149401 & -1.603 & 0.110781 & 0.0553907 \tabularnewline
`MDVP:Fhi(Hz)` & -0.000138695 & 0.000316545 & -0.4382 & 0.661816 & 0.330908 \tabularnewline
`MDVP:Flo(Hz)` & -0.00159563 & 0.000794803 & -2.008 & 0.0462265 & 0.0231133 \tabularnewline
`MDVP:Jitter(%)` & -168.038 & 66.2983 & -2.535 & 0.0121352 & 0.00606758 \tabularnewline
`MDVP:Jitter(Abs)` & -4462.28 & 4514.26 & -0.9885 & 0.32428 & 0.16214 \tabularnewline
`MDVP:PPQ` & -16.7296 & 82.0259 & -0.204 & 0.838625 & 0.419313 \tabularnewline
`Jitter:DDP` & 103.68 & 26.4823 & 3.915 & 0.000129327 & 6.46633e-05 \tabularnewline
`MDVP:Shimmer` & 32.8725 & 29.2664 & 1.123 & 0.262884 & 0.131442 \tabularnewline
`Shimmer:APQ3` & -1635.56 & 8870.09 & -0.1844 & 0.85392 & 0.42696 \tabularnewline
`Shimmer:APQ5` & -26.0714 & 19.3875 & -1.345 & 0.180445 & 0.0902227 \tabularnewline
`MDVP:APQ` & -3.55789 & 10.6889 & -0.3329 & 0.739639 & 0.36982 \tabularnewline
`Shimmer:DDA` & 539.3 & 2956.16 & 0.1824 & 0.855454 & 0.427727 \tabularnewline
NHR & -2.25465 & 1.95588 & -1.153 & 0.250583 & 0.125291 \tabularnewline
RPDE & -0.771266 & 0.357178 & -2.159 & 0.0321856 & 0.0160928 \tabularnewline
DFA & 0.403792 & 0.725173 & 0.5568 & 0.578361 & 0.28918 \tabularnewline
spread1 & 0.128479 & 0.0967595 & 1.328 & 0.185969 & 0.0929844 \tabularnewline
spread2 & 1.1317 & 0.45852 & 2.468 & 0.0145419 & 0.00727096 \tabularnewline
D2 & 0.103034 & 0.104534 & 0.9857 & 0.325662 & 0.162831 \tabularnewline
PPE & 1.23075 & 1.31587 & 0.9353 & 0.350916 & 0.175458 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232187&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]1.58337[/C][C]0.955813[/C][C]1.657[/C][C]0.0993995[/C][C]0.0496997[/C][/ROW]
[ROW][C]`MDVP:Fo(Hz)`[/C][C]-0.00239461[/C][C]0.00149401[/C][C]-1.603[/C][C]0.110781[/C][C]0.0553907[/C][/ROW]
[ROW][C]`MDVP:Fhi(Hz)`[/C][C]-0.000138695[/C][C]0.000316545[/C][C]-0.4382[/C][C]0.661816[/C][C]0.330908[/C][/ROW]
[ROW][C]`MDVP:Flo(Hz)`[/C][C]-0.00159563[/C][C]0.000794803[/C][C]-2.008[/C][C]0.0462265[/C][C]0.0231133[/C][/ROW]
[ROW][C]`MDVP:Jitter(%)`[/C][C]-168.038[/C][C]66.2983[/C][C]-2.535[/C][C]0.0121352[/C][C]0.00606758[/C][/ROW]
[ROW][C]`MDVP:Jitter(Abs)`[/C][C]-4462.28[/C][C]4514.26[/C][C]-0.9885[/C][C]0.32428[/C][C]0.16214[/C][/ROW]
[ROW][C]`MDVP:PPQ`[/C][C]-16.7296[/C][C]82.0259[/C][C]-0.204[/C][C]0.838625[/C][C]0.419313[/C][/ROW]
[ROW][C]`Jitter:DDP`[/C][C]103.68[/C][C]26.4823[/C][C]3.915[/C][C]0.000129327[/C][C]6.46633e-05[/C][/ROW]
[ROW][C]`MDVP:Shimmer`[/C][C]32.8725[/C][C]29.2664[/C][C]1.123[/C][C]0.262884[/C][C]0.131442[/C][/ROW]
[ROW][C]`Shimmer:APQ3`[/C][C]-1635.56[/C][C]8870.09[/C][C]-0.1844[/C][C]0.85392[/C][C]0.42696[/C][/ROW]
[ROW][C]`Shimmer:APQ5`[/C][C]-26.0714[/C][C]19.3875[/C][C]-1.345[/C][C]0.180445[/C][C]0.0902227[/C][/ROW]
[ROW][C]`MDVP:APQ`[/C][C]-3.55789[/C][C]10.6889[/C][C]-0.3329[/C][C]0.739639[/C][C]0.36982[/C][/ROW]
[ROW][C]`Shimmer:DDA`[/C][C]539.3[/C][C]2956.16[/C][C]0.1824[/C][C]0.855454[/C][C]0.427727[/C][/ROW]
[ROW][C]NHR[/C][C]-2.25465[/C][C]1.95588[/C][C]-1.153[/C][C]0.250583[/C][C]0.125291[/C][/ROW]
[ROW][C]RPDE[/C][C]-0.771266[/C][C]0.357178[/C][C]-2.159[/C][C]0.0321856[/C][C]0.0160928[/C][/ROW]
[ROW][C]DFA[/C][C]0.403792[/C][C]0.725173[/C][C]0.5568[/C][C]0.578361[/C][C]0.28918[/C][/ROW]
[ROW][C]spread1[/C][C]0.128479[/C][C]0.0967595[/C][C]1.328[/C][C]0.185969[/C][C]0.0929844[/C][/ROW]
[ROW][C]spread2[/C][C]1.1317[/C][C]0.45852[/C][C]2.468[/C][C]0.0145419[/C][C]0.00727096[/C][/ROW]
[ROW][C]D2[/C][C]0.103034[/C][C]0.104534[/C][C]0.9857[/C][C]0.325662[/C][C]0.162831[/C][/ROW]
[ROW][C]PPE[/C][C]1.23075[/C][C]1.31587[/C][C]0.9353[/C][C]0.350916[/C][C]0.175458[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=232187&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232187&T=2

As an alternative you can also use a QR Code:

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

Multiple Linear Regression - Ordinary Least Squares
Variable	Parameter	S.D.	T-STATH0: parameter = 0	2-tail p-value	1-tail p-value
(Intercept)	1.58337	0.955813	1.657	0.0993995	0.0496997
`MDVP:Fo(Hz)`	-0.00239461	0.00149401	-1.603	0.110781	0.0553907
`MDVP:Fhi(Hz)`	-0.000138695	0.000316545	-0.4382	0.661816	0.330908
`MDVP:Flo(Hz)`	-0.00159563	0.000794803	-2.008	0.0462265	0.0231133
`MDVP:Jitter(%)`	-168.038	66.2983	-2.535	0.0121352	0.00606758
`MDVP:Jitter(Abs)`	-4462.28	4514.26	-0.9885	0.32428	0.16214
`MDVP:PPQ`	-16.7296	82.0259	-0.204	0.838625	0.419313
`Jitter:DDP`	103.68	26.4823	3.915	0.000129327	6.46633e-05
`MDVP:Shimmer`	32.8725	29.2664	1.123	0.262884	0.131442
`Shimmer:APQ3`	-1635.56	8870.09	-0.1844	0.85392	0.42696
`Shimmer:APQ5`	-26.0714	19.3875	-1.345	0.180445	0.0902227
`MDVP:APQ`	-3.55789	10.6889	-0.3329	0.739639	0.36982
`Shimmer:DDA`	539.3	2956.16	0.1824	0.855454	0.427727
NHR	-2.25465	1.95588	-1.153	0.250583	0.125291
RPDE	-0.771266	0.357178	-2.159	0.0321856	0.0160928
DFA	0.403792	0.725173	0.5568	0.578361	0.28918
spread1	0.128479	0.0967595	1.328	0.185969	0.0929844
spread2	1.1317	0.45852	2.468	0.0145419	0.00727096
D2	0.103034	0.104534	0.9857	0.325662	0.162831
PPE	1.23075	1.31587	0.9353	0.350916	0.175458

Multiple Linear Regression - Regression Statistics
Multiple R	0.698609
R-squared	0.488055
Adjusted R-squared	0.432472
F-TEST (value)	8.78071
F-TEST (DF numerator)	19
F-TEST (DF denominator)	175
p-value	0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	0.325353
Sum Squared Residuals	18.5245

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.698609 \tabularnewline
R-squared & 0.488055 \tabularnewline
Adjusted R-squared & 0.432472 \tabularnewline
F-TEST (value) & 8.78071 \tabularnewline
F-TEST (DF numerator) & 19 \tabularnewline
F-TEST (DF denominator) & 175 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 0.325353 \tabularnewline
Sum Squared Residuals & 18.5245 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232187&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.698609[/C][/ROW]
[ROW][C]R-squared[/C][C]0.488055[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.432472[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]8.78071[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]19[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]175[/C][/ROW]
[ROW][C]p-value[/C][C]0[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]0.325353[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]18.5245[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=232187&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232187&T=3

As an alternative you can also use a QR Code:

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

Multiple Linear Regression - Regression Statistics
Multiple R	0.698609
R-squared	0.488055
Adjusted R-squared	0.432472
F-TEST (value)	8.78071
F-TEST (DF numerator)	19
F-TEST (DF denominator)	175
p-value	0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	0.325353
Sum Squared Residuals	18.5245

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	InterpolationForecast	ResidualsPrediction Error
1	1	0.937356	0.0626441
2	1	1.06837	-0.0683717
3	1	1.00273	-0.00273208
4	1	1.09493	-0.0949321
5	1	0.926169	0.0738307
6	1	0.97407	0.0259301
7	1	0.802304	0.197696
8	1	0.655331	0.344669
9	1	0.95399	0.0460098
10	1	1.14307	-0.143069
11	1	1.07755	-0.0775508
12	1	1.23016	-0.230155
13	1	0.460638	0.539362
14	1	0.878178	0.121822
15	1	0.711382	0.288618
16	1	0.736528	0.263472
17	1	0.546932	0.453068
18	1	1.32614	-0.326136
19	1	1.30228	-0.302279
20	1	0.96455	0.0354499
21	1	1.08731	-0.0873105
22	1	0.904967	0.0950334
23	1	1.18543	-0.185426
24	1	0.891819	0.108181
25	1	0.830366	0.169634
26	1	0.932469	0.0675309
27	1	0.830335	0.169665
28	1	0.794593	0.205407
29	1	0.673193	0.326807
30	1	0.698497	0.301503
31	0	0.297847	-0.297847
32	0	0.243088	-0.243088
33	0	0.246969	-0.246969
34	0	0.185468	-0.185468
35	0	0.131913	-0.131913
36	0	0.292967	-0.292967
37	1	0.799527	0.200473
38	1	0.825493	0.174507
39	1	0.606112	0.393888
40	1	0.764863	0.235137
41	1	0.612889	0.387111
42	1	0.451997	0.548003
43	0	0.202459	-0.202459
44	0	0.192905	-0.192905
45	0	0.0286343	-0.0286343
46	0	0.107352	-0.107352
47	0	0.0723385	-0.0723385
48	0	-0.00173365	0.00173365
49	0	0.335743	-0.335743
50	0	0.4356	-0.4356
51	0	0.434401	-0.434401
52	0	0.446055	-0.446055
53	0	0.411825	-0.411825
54	0	0.553046	-0.553046
55	1	0.820007	0.179993
56	1	0.791408	0.208592
57	1	0.884677	0.115323
58	1	0.766185	0.233815
59	1	0.768513	0.231487
60	1	0.61424	0.38576
61	0	0.392463	-0.392463
62	0	0.330412	-0.330412
63	0	0.276768	-0.276768
64	0	0.224138	-0.224138
65	0	0.109977	-0.109977
66	0	0.271188	-0.271188
67	1	0.88042	0.11958
68	1	0.857702	0.142298
69	1	0.948804	0.0511955
70	1	0.98425	0.0157502
71	1	0.819281	0.180719
72	1	1.09632	-0.0963242
73	1	0.904691	0.0953095
74	1	0.906043	0.0939569
75	1	1.07332	-0.0733189
76	1	1.05775	-0.0577489
77	1	1.11024	-0.110238
78	1	1.00579	-0.00578513
79	1	0.97858	0.0214202
80	1	1.0827	-0.0826968
81	1	1.18395	-0.183945
82	1	1.10303	-0.103033
83	1	1.00903	-0.00902578
84	1	0.705473	0.294527
85	1	1.06574	-0.0657364
86	1	0.864408	0.135592
87	1	0.657385	0.342615
88	1	0.949762	0.0502382
89	1	0.970458	0.0295418
90	1	1.17029	-0.170294
91	1	1.13832	-0.138322
92	1	0.798749	0.201251
93	1	0.712751	0.287249
94	1	0.800903	0.199097
95	1	0.815211	0.184789
96	1	0.756302	0.243698
97	1	0.782813	0.217187
98	1	1.01377	-0.0137686
99	1	0.768441	0.231559
100	1	0.885742	0.114258
101	1	0.98303	0.0169702
102	1	0.995343	0.00465713
103	1	1.0445	-0.044495
104	1	0.572582	0.427418
105	1	0.571395	0.428605
106	1	0.556544	0.443456
107	1	0.56724	0.43276
108	1	0.694327	0.305673
109	1	0.653011	0.346989
110	1	0.924769	0.0752305
111	1	1.05296	-0.0529555
112	1	0.561793	0.438207
113	1	0.820787	0.179213
114	1	0.692369	0.307631
115	1	0.781774	0.218226
116	1	0.863072	0.136928
117	1	0.750949	0.249051
118	1	1.09169	-0.0916941
119	1	0.883727	0.116273
120	1	0.764318	0.235682
121	1	0.560996	0.439004
122	1	1.00151	-0.00151382
123	1	0.936607	0.0633929
124	1	0.698999	0.301001
125	1	0.601461	0.398539
126	1	0.591827	0.408173
127	1	0.577916	0.422084
128	1	0.599845	0.400155
129	1	0.445568	0.554432
130	1	0.780751	0.219249
131	1	0.80822	0.19178
132	1	0.914989	0.0850111
133	1	1.03045	-0.0304476
134	1	0.644294	0.355706
135	1	0.935496	0.0645043
136	1	0.960039	0.0399609
137	1	1.14962	-0.149623
138	1	1.14918	-0.149177
139	1	0.950337	0.0496629
140	1	0.770222	0.229778
141	1	0.934059	0.0659409
142	1	0.904439	0.0955609
143	1	0.72179	0.27821
144	1	0.631468	0.368532
145	1	0.534794	0.465206
146	1	0.851266	0.148734
147	1	1.34772	-0.347719
148	1	1.1218	-0.121804
149	1	1.25968	-0.259677
150	1	0.848108	0.151892
151	1	0.82481	0.17519
152	1	1.0221	-0.0221015
153	1	0.9684	0.0316001
154	1	0.811903	0.188097
155	1	0.927261	0.0727394
156	1	1.04201	-0.0420136
157	1	0.827394	0.172606
158	1	1.30659	-0.306587
159	1	1.00281	-0.00280667
160	1	0.810082	0.189918
161	1	1.09388	-0.0938775
162	1	1.02161	-0.0216139
163	1	0.907336	0.0926637
164	1	0.74898	0.25102
165	1	1.3308	-0.330799
166	0	0.469862	-0.469862
167	0	0.18347	-0.18347
168	0	0.0170754	-0.0170754
169	0	0.92948	-0.92948
170	0	0.176408	-0.176408
171	0	0.0827605	-0.0827605
172	0	0.801143	-0.801143
173	0	0.825604	-0.825604
174	0	0.870676	-0.870676
175	0	0.84701	-0.84701
176	0	0.829027	-0.829027
177	0	0.784236	-0.784236
178	1	0.631718	0.368282
179	1	0.706528	0.293472
180	1	0.934038	0.0659616
181	1	0.73146	0.26854
182	1	0.863711	0.136289
183	1	0.68647	0.31353
184	0	0.608799	-0.608799
185	0	0.65261	-0.65261
186	0	0.622751	-0.622751
187	0	0.4327	-0.4327
188	0	0.485684	-0.485684
189	0	0.44128	-0.44128
190	0	0.424169	-0.424169
191	0	0.629371	-0.629371
192	0	0.673334	-0.673334
193	0	-0.207555	0.207555
194	0	0.209971	-0.209971
195	0	0.512846	-0.512846

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 1 & 0.937356 & 0.0626441 \tabularnewline
2 & 1 & 1.06837 & -0.0683717 \tabularnewline
3 & 1 & 1.00273 & -0.00273208 \tabularnewline
4 & 1 & 1.09493 & -0.0949321 \tabularnewline
5 & 1 & 0.926169 & 0.0738307 \tabularnewline
6 & 1 & 0.97407 & 0.0259301 \tabularnewline
7 & 1 & 0.802304 & 0.197696 \tabularnewline
8 & 1 & 0.655331 & 0.344669 \tabularnewline
9 & 1 & 0.95399 & 0.0460098 \tabularnewline
10 & 1 & 1.14307 & -0.143069 \tabularnewline
11 & 1 & 1.07755 & -0.0775508 \tabularnewline
12 & 1 & 1.23016 & -0.230155 \tabularnewline
13 & 1 & 0.460638 & 0.539362 \tabularnewline
14 & 1 & 0.878178 & 0.121822 \tabularnewline
15 & 1 & 0.711382 & 0.288618 \tabularnewline
16 & 1 & 0.736528 & 0.263472 \tabularnewline
17 & 1 & 0.546932 & 0.453068 \tabularnewline
18 & 1 & 1.32614 & -0.326136 \tabularnewline
19 & 1 & 1.30228 & -0.302279 \tabularnewline
20 & 1 & 0.96455 & 0.0354499 \tabularnewline
21 & 1 & 1.08731 & -0.0873105 \tabularnewline
22 & 1 & 0.904967 & 0.0950334 \tabularnewline
23 & 1 & 1.18543 & -0.185426 \tabularnewline
24 & 1 & 0.891819 & 0.108181 \tabularnewline
25 & 1 & 0.830366 & 0.169634 \tabularnewline
26 & 1 & 0.932469 & 0.0675309 \tabularnewline
27 & 1 & 0.830335 & 0.169665 \tabularnewline
28 & 1 & 0.794593 & 0.205407 \tabularnewline
29 & 1 & 0.673193 & 0.326807 \tabularnewline
30 & 1 & 0.698497 & 0.301503 \tabularnewline
31 & 0 & 0.297847 & -0.297847 \tabularnewline
32 & 0 & 0.243088 & -0.243088 \tabularnewline
33 & 0 & 0.246969 & -0.246969 \tabularnewline
34 & 0 & 0.185468 & -0.185468 \tabularnewline
35 & 0 & 0.131913 & -0.131913 \tabularnewline
36 & 0 & 0.292967 & -0.292967 \tabularnewline
37 & 1 & 0.799527 & 0.200473 \tabularnewline
38 & 1 & 0.825493 & 0.174507 \tabularnewline
39 & 1 & 0.606112 & 0.393888 \tabularnewline
40 & 1 & 0.764863 & 0.235137 \tabularnewline
41 & 1 & 0.612889 & 0.387111 \tabularnewline
42 & 1 & 0.451997 & 0.548003 \tabularnewline
43 & 0 & 0.202459 & -0.202459 \tabularnewline
44 & 0 & 0.192905 & -0.192905 \tabularnewline
45 & 0 & 0.0286343 & -0.0286343 \tabularnewline
46 & 0 & 0.107352 & -0.107352 \tabularnewline
47 & 0 & 0.0723385 & -0.0723385 \tabularnewline
48 & 0 & -0.00173365 & 0.00173365 \tabularnewline
49 & 0 & 0.335743 & -0.335743 \tabularnewline
50 & 0 & 0.4356 & -0.4356 \tabularnewline
51 & 0 & 0.434401 & -0.434401 \tabularnewline
52 & 0 & 0.446055 & -0.446055 \tabularnewline
53 & 0 & 0.411825 & -0.411825 \tabularnewline
54 & 0 & 0.553046 & -0.553046 \tabularnewline
55 & 1 & 0.820007 & 0.179993 \tabularnewline
56 & 1 & 0.791408 & 0.208592 \tabularnewline
57 & 1 & 0.884677 & 0.115323 \tabularnewline
58 & 1 & 0.766185 & 0.233815 \tabularnewline
59 & 1 & 0.768513 & 0.231487 \tabularnewline
60 & 1 & 0.61424 & 0.38576 \tabularnewline
61 & 0 & 0.392463 & -0.392463 \tabularnewline
62 & 0 & 0.330412 & -0.330412 \tabularnewline
63 & 0 & 0.276768 & -0.276768 \tabularnewline
64 & 0 & 0.224138 & -0.224138 \tabularnewline
65 & 0 & 0.109977 & -0.109977 \tabularnewline
66 & 0 & 0.271188 & -0.271188 \tabularnewline
67 & 1 & 0.88042 & 0.11958 \tabularnewline
68 & 1 & 0.857702 & 0.142298 \tabularnewline
69 & 1 & 0.948804 & 0.0511955 \tabularnewline
70 & 1 & 0.98425 & 0.0157502 \tabularnewline
71 & 1 & 0.819281 & 0.180719 \tabularnewline
72 & 1 & 1.09632 & -0.0963242 \tabularnewline
73 & 1 & 0.904691 & 0.0953095 \tabularnewline
74 & 1 & 0.906043 & 0.0939569 \tabularnewline
75 & 1 & 1.07332 & -0.0733189 \tabularnewline
76 & 1 & 1.05775 & -0.0577489 \tabularnewline
77 & 1 & 1.11024 & -0.110238 \tabularnewline
78 & 1 & 1.00579 & -0.00578513 \tabularnewline
79 & 1 & 0.97858 & 0.0214202 \tabularnewline
80 & 1 & 1.0827 & -0.0826968 \tabularnewline
81 & 1 & 1.18395 & -0.183945 \tabularnewline
82 & 1 & 1.10303 & -0.103033 \tabularnewline
83 & 1 & 1.00903 & -0.00902578 \tabularnewline
84 & 1 & 0.705473 & 0.294527 \tabularnewline
85 & 1 & 1.06574 & -0.0657364 \tabularnewline
86 & 1 & 0.864408 & 0.135592 \tabularnewline
87 & 1 & 0.657385 & 0.342615 \tabularnewline
88 & 1 & 0.949762 & 0.0502382 \tabularnewline
89 & 1 & 0.970458 & 0.0295418 \tabularnewline
90 & 1 & 1.17029 & -0.170294 \tabularnewline
91 & 1 & 1.13832 & -0.138322 \tabularnewline
92 & 1 & 0.798749 & 0.201251 \tabularnewline
93 & 1 & 0.712751 & 0.287249 \tabularnewline
94 & 1 & 0.800903 & 0.199097 \tabularnewline
95 & 1 & 0.815211 & 0.184789 \tabularnewline
96 & 1 & 0.756302 & 0.243698 \tabularnewline
97 & 1 & 0.782813 & 0.217187 \tabularnewline
98 & 1 & 1.01377 & -0.0137686 \tabularnewline
99 & 1 & 0.768441 & 0.231559 \tabularnewline
100 & 1 & 0.885742 & 0.114258 \tabularnewline
101 & 1 & 0.98303 & 0.0169702 \tabularnewline
102 & 1 & 0.995343 & 0.00465713 \tabularnewline
103 & 1 & 1.0445 & -0.044495 \tabularnewline
104 & 1 & 0.572582 & 0.427418 \tabularnewline
105 & 1 & 0.571395 & 0.428605 \tabularnewline
106 & 1 & 0.556544 & 0.443456 \tabularnewline
107 & 1 & 0.56724 & 0.43276 \tabularnewline
108 & 1 & 0.694327 & 0.305673 \tabularnewline
109 & 1 & 0.653011 & 0.346989 \tabularnewline
110 & 1 & 0.924769 & 0.0752305 \tabularnewline
111 & 1 & 1.05296 & -0.0529555 \tabularnewline
112 & 1 & 0.561793 & 0.438207 \tabularnewline
113 & 1 & 0.820787 & 0.179213 \tabularnewline
114 & 1 & 0.692369 & 0.307631 \tabularnewline
115 & 1 & 0.781774 & 0.218226 \tabularnewline
116 & 1 & 0.863072 & 0.136928 \tabularnewline
117 & 1 & 0.750949 & 0.249051 \tabularnewline
118 & 1 & 1.09169 & -0.0916941 \tabularnewline
119 & 1 & 0.883727 & 0.116273 \tabularnewline
120 & 1 & 0.764318 & 0.235682 \tabularnewline
121 & 1 & 0.560996 & 0.439004 \tabularnewline
122 & 1 & 1.00151 & -0.00151382 \tabularnewline
123 & 1 & 0.936607 & 0.0633929 \tabularnewline
124 & 1 & 0.698999 & 0.301001 \tabularnewline
125 & 1 & 0.601461 & 0.398539 \tabularnewline
126 & 1 & 0.591827 & 0.408173 \tabularnewline
127 & 1 & 0.577916 & 0.422084 \tabularnewline
128 & 1 & 0.599845 & 0.400155 \tabularnewline
129 & 1 & 0.445568 & 0.554432 \tabularnewline
130 & 1 & 0.780751 & 0.219249 \tabularnewline
131 & 1 & 0.80822 & 0.19178 \tabularnewline
132 & 1 & 0.914989 & 0.0850111 \tabularnewline
133 & 1 & 1.03045 & -0.0304476 \tabularnewline
134 & 1 & 0.644294 & 0.355706 \tabularnewline
135 & 1 & 0.935496 & 0.0645043 \tabularnewline
136 & 1 & 0.960039 & 0.0399609 \tabularnewline
137 & 1 & 1.14962 & -0.149623 \tabularnewline
138 & 1 & 1.14918 & -0.149177 \tabularnewline
139 & 1 & 0.950337 & 0.0496629 \tabularnewline
140 & 1 & 0.770222 & 0.229778 \tabularnewline
141 & 1 & 0.934059 & 0.0659409 \tabularnewline
142 & 1 & 0.904439 & 0.0955609 \tabularnewline
143 & 1 & 0.72179 & 0.27821 \tabularnewline
144 & 1 & 0.631468 & 0.368532 \tabularnewline
145 & 1 & 0.534794 & 0.465206 \tabularnewline
146 & 1 & 0.851266 & 0.148734 \tabularnewline
147 & 1 & 1.34772 & -0.347719 \tabularnewline
148 & 1 & 1.1218 & -0.121804 \tabularnewline
149 & 1 & 1.25968 & -0.259677 \tabularnewline
150 & 1 & 0.848108 & 0.151892 \tabularnewline
151 & 1 & 0.82481 & 0.17519 \tabularnewline
152 & 1 & 1.0221 & -0.0221015 \tabularnewline
153 & 1 & 0.9684 & 0.0316001 \tabularnewline
154 & 1 & 0.811903 & 0.188097 \tabularnewline
155 & 1 & 0.927261 & 0.0727394 \tabularnewline
156 & 1 & 1.04201 & -0.0420136 \tabularnewline
157 & 1 & 0.827394 & 0.172606 \tabularnewline
158 & 1 & 1.30659 & -0.306587 \tabularnewline
159 & 1 & 1.00281 & -0.00280667 \tabularnewline
160 & 1 & 0.810082 & 0.189918 \tabularnewline
161 & 1 & 1.09388 & -0.0938775 \tabularnewline
162 & 1 & 1.02161 & -0.0216139 \tabularnewline
163 & 1 & 0.907336 & 0.0926637 \tabularnewline
164 & 1 & 0.74898 & 0.25102 \tabularnewline
165 & 1 & 1.3308 & -0.330799 \tabularnewline
166 & 0 & 0.469862 & -0.469862 \tabularnewline
167 & 0 & 0.18347 & -0.18347 \tabularnewline
168 & 0 & 0.0170754 & -0.0170754 \tabularnewline
169 & 0 & 0.92948 & -0.92948 \tabularnewline
170 & 0 & 0.176408 & -0.176408 \tabularnewline
171 & 0 & 0.0827605 & -0.0827605 \tabularnewline
172 & 0 & 0.801143 & -0.801143 \tabularnewline
173 & 0 & 0.825604 & -0.825604 \tabularnewline
174 & 0 & 0.870676 & -0.870676 \tabularnewline
175 & 0 & 0.84701 & -0.84701 \tabularnewline
176 & 0 & 0.829027 & -0.829027 \tabularnewline
177 & 0 & 0.784236 & -0.784236 \tabularnewline
178 & 1 & 0.631718 & 0.368282 \tabularnewline
179 & 1 & 0.706528 & 0.293472 \tabularnewline
180 & 1 & 0.934038 & 0.0659616 \tabularnewline
181 & 1 & 0.73146 & 0.26854 \tabularnewline
182 & 1 & 0.863711 & 0.136289 \tabularnewline
183 & 1 & 0.68647 & 0.31353 \tabularnewline
184 & 0 & 0.608799 & -0.608799 \tabularnewline
185 & 0 & 0.65261 & -0.65261 \tabularnewline
186 & 0 & 0.622751 & -0.622751 \tabularnewline
187 & 0 & 0.4327 & -0.4327 \tabularnewline
188 & 0 & 0.485684 & -0.485684 \tabularnewline
189 & 0 & 0.44128 & -0.44128 \tabularnewline
190 & 0 & 0.424169 & -0.424169 \tabularnewline
191 & 0 & 0.629371 & -0.629371 \tabularnewline
192 & 0 & 0.673334 & -0.673334 \tabularnewline
193 & 0 & -0.207555 & 0.207555 \tabularnewline
194 & 0 & 0.209971 & -0.209971 \tabularnewline
195 & 0 & 0.512846 & -0.512846 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232187&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]0.937356[/C][C]0.0626441[/C][/ROW]
[ROW][C]2[/C][C]1[/C][C]1.06837[/C][C]-0.0683717[/C][/ROW]
[ROW][C]3[/C][C]1[/C][C]1.00273[/C][C]-0.00273208[/C][/ROW]
[ROW][C]4[/C][C]1[/C][C]1.09493[/C][C]-0.0949321[/C][/ROW]
[ROW][C]5[/C][C]1[/C][C]0.926169[/C][C]0.0738307[/C][/ROW]
[ROW][C]6[/C][C]1[/C][C]0.97407[/C][C]0.0259301[/C][/ROW]
[ROW][C]7[/C][C]1[/C][C]0.802304[/C][C]0.197696[/C][/ROW]
[ROW][C]8[/C][C]1[/C][C]0.655331[/C][C]0.344669[/C][/ROW]
[ROW][C]9[/C][C]1[/C][C]0.95399[/C][C]0.0460098[/C][/ROW]
[ROW][C]10[/C][C]1[/C][C]1.14307[/C][C]-0.143069[/C][/ROW]
[ROW][C]11[/C][C]1[/C][C]1.07755[/C][C]-0.0775508[/C][/ROW]
[ROW][C]12[/C][C]1[/C][C]1.23016[/C][C]-0.230155[/C][/ROW]
[ROW][C]13[/C][C]1[/C][C]0.460638[/C][C]0.539362[/C][/ROW]
[ROW][C]14[/C][C]1[/C][C]0.878178[/C][C]0.121822[/C][/ROW]
[ROW][C]15[/C][C]1[/C][C]0.711382[/C][C]0.288618[/C][/ROW]
[ROW][C]16[/C][C]1[/C][C]0.736528[/C][C]0.263472[/C][/ROW]
[ROW][C]17[/C][C]1[/C][C]0.546932[/C][C]0.453068[/C][/ROW]
[ROW][C]18[/C][C]1[/C][C]1.32614[/C][C]-0.326136[/C][/ROW]
[ROW][C]19[/C][C]1[/C][C]1.30228[/C][C]-0.302279[/C][/ROW]
[ROW][C]20[/C][C]1[/C][C]0.96455[/C][C]0.0354499[/C][/ROW]
[ROW][C]21[/C][C]1[/C][C]1.08731[/C][C]-0.0873105[/C][/ROW]
[ROW][C]22[/C][C]1[/C][C]0.904967[/C][C]0.0950334[/C][/ROW]
[ROW][C]23[/C][C]1[/C][C]1.18543[/C][C]-0.185426[/C][/ROW]
[ROW][C]24[/C][C]1[/C][C]0.891819[/C][C]0.108181[/C][/ROW]
[ROW][C]25[/C][C]1[/C][C]0.830366[/C][C]0.169634[/C][/ROW]
[ROW][C]26[/C][C]1[/C][C]0.932469[/C][C]0.0675309[/C][/ROW]
[ROW][C]27[/C][C]1[/C][C]0.830335[/C][C]0.169665[/C][/ROW]
[ROW][C]28[/C][C]1[/C][C]0.794593[/C][C]0.205407[/C][/ROW]
[ROW][C]29[/C][C]1[/C][C]0.673193[/C][C]0.326807[/C][/ROW]
[ROW][C]30[/C][C]1[/C][C]0.698497[/C][C]0.301503[/C][/ROW]
[ROW][C]31[/C][C]0[/C][C]0.297847[/C][C]-0.297847[/C][/ROW]
[ROW][C]32[/C][C]0[/C][C]0.243088[/C][C]-0.243088[/C][/ROW]
[ROW][C]33[/C][C]0[/C][C]0.246969[/C][C]-0.246969[/C][/ROW]
[ROW][C]34[/C][C]0[/C][C]0.185468[/C][C]-0.185468[/C][/ROW]
[ROW][C]35[/C][C]0[/C][C]0.131913[/C][C]-0.131913[/C][/ROW]
[ROW][C]36[/C][C]0[/C][C]0.292967[/C][C]-0.292967[/C][/ROW]
[ROW][C]37[/C][C]1[/C][C]0.799527[/C][C]0.200473[/C][/ROW]
[ROW][C]38[/C][C]1[/C][C]0.825493[/C][C]0.174507[/C][/ROW]
[ROW][C]39[/C][C]1[/C][C]0.606112[/C][C]0.393888[/C][/ROW]
[ROW][C]40[/C][C]1[/C][C]0.764863[/C][C]0.235137[/C][/ROW]
[ROW][C]41[/C][C]1[/C][C]0.612889[/C][C]0.387111[/C][/ROW]
[ROW][C]42[/C][C]1[/C][C]0.451997[/C][C]0.548003[/C][/ROW]
[ROW][C]43[/C][C]0[/C][C]0.202459[/C][C]-0.202459[/C][/ROW]
[ROW][C]44[/C][C]0[/C][C]0.192905[/C][C]-0.192905[/C][/ROW]
[ROW][C]45[/C][C]0[/C][C]0.0286343[/C][C]-0.0286343[/C][/ROW]
[ROW][C]46[/C][C]0[/C][C]0.107352[/C][C]-0.107352[/C][/ROW]
[ROW][C]47[/C][C]0[/C][C]0.0723385[/C][C]-0.0723385[/C][/ROW]
[ROW][C]48[/C][C]0[/C][C]-0.00173365[/C][C]0.00173365[/C][/ROW]
[ROW][C]49[/C][C]0[/C][C]0.335743[/C][C]-0.335743[/C][/ROW]
[ROW][C]50[/C][C]0[/C][C]0.4356[/C][C]-0.4356[/C][/ROW]
[ROW][C]51[/C][C]0[/C][C]0.434401[/C][C]-0.434401[/C][/ROW]
[ROW][C]52[/C][C]0[/C][C]0.446055[/C][C]-0.446055[/C][/ROW]
[ROW][C]53[/C][C]0[/C][C]0.411825[/C][C]-0.411825[/C][/ROW]
[ROW][C]54[/C][C]0[/C][C]0.553046[/C][C]-0.553046[/C][/ROW]
[ROW][C]55[/C][C]1[/C][C]0.820007[/C][C]0.179993[/C][/ROW]
[ROW][C]56[/C][C]1[/C][C]0.791408[/C][C]0.208592[/C][/ROW]
[ROW][C]57[/C][C]1[/C][C]0.884677[/C][C]0.115323[/C][/ROW]
[ROW][C]58[/C][C]1[/C][C]0.766185[/C][C]0.233815[/C][/ROW]
[ROW][C]59[/C][C]1[/C][C]0.768513[/C][C]0.231487[/C][/ROW]
[ROW][C]60[/C][C]1[/C][C]0.61424[/C][C]0.38576[/C][/ROW]
[ROW][C]61[/C][C]0[/C][C]0.392463[/C][C]-0.392463[/C][/ROW]
[ROW][C]62[/C][C]0[/C][C]0.330412[/C][C]-0.330412[/C][/ROW]
[ROW][C]63[/C][C]0[/C][C]0.276768[/C][C]-0.276768[/C][/ROW]
[ROW][C]64[/C][C]0[/C][C]0.224138[/C][C]-0.224138[/C][/ROW]
[ROW][C]65[/C][C]0[/C][C]0.109977[/C][C]-0.109977[/C][/ROW]
[ROW][C]66[/C][C]0[/C][C]0.271188[/C][C]-0.271188[/C][/ROW]
[ROW][C]67[/C][C]1[/C][C]0.88042[/C][C]0.11958[/C][/ROW]
[ROW][C]68[/C][C]1[/C][C]0.857702[/C][C]0.142298[/C][/ROW]
[ROW][C]69[/C][C]1[/C][C]0.948804[/C][C]0.0511955[/C][/ROW]
[ROW][C]70[/C][C]1[/C][C]0.98425[/C][C]0.0157502[/C][/ROW]
[ROW][C]71[/C][C]1[/C][C]0.819281[/C][C]0.180719[/C][/ROW]
[ROW][C]72[/C][C]1[/C][C]1.09632[/C][C]-0.0963242[/C][/ROW]
[ROW][C]73[/C][C]1[/C][C]0.904691[/C][C]0.0953095[/C][/ROW]
[ROW][C]74[/C][C]1[/C][C]0.906043[/C][C]0.0939569[/C][/ROW]
[ROW][C]75[/C][C]1[/C][C]1.07332[/C][C]-0.0733189[/C][/ROW]
[ROW][C]76[/C][C]1[/C][C]1.05775[/C][C]-0.0577489[/C][/ROW]
[ROW][C]77[/C][C]1[/C][C]1.11024[/C][C]-0.110238[/C][/ROW]
[ROW][C]78[/C][C]1[/C][C]1.00579[/C][C]-0.00578513[/C][/ROW]
[ROW][C]79[/C][C]1[/C][C]0.97858[/C][C]0.0214202[/C][/ROW]
[ROW][C]80[/C][C]1[/C][C]1.0827[/C][C]-0.0826968[/C][/ROW]
[ROW][C]81[/C][C]1[/C][C]1.18395[/C][C]-0.183945[/C][/ROW]
[ROW][C]82[/C][C]1[/C][C]1.10303[/C][C]-0.103033[/C][/ROW]
[ROW][C]83[/C][C]1[/C][C]1.00903[/C][C]-0.00902578[/C][/ROW]
[ROW][C]84[/C][C]1[/C][C]0.705473[/C][C]0.294527[/C][/ROW]
[ROW][C]85[/C][C]1[/C][C]1.06574[/C][C]-0.0657364[/C][/ROW]
[ROW][C]86[/C][C]1[/C][C]0.864408[/C][C]0.135592[/C][/ROW]
[ROW][C]87[/C][C]1[/C][C]0.657385[/C][C]0.342615[/C][/ROW]
[ROW][C]88[/C][C]1[/C][C]0.949762[/C][C]0.0502382[/C][/ROW]
[ROW][C]89[/C][C]1[/C][C]0.970458[/C][C]0.0295418[/C][/ROW]
[ROW][C]90[/C][C]1[/C][C]1.17029[/C][C]-0.170294[/C][/ROW]
[ROW][C]91[/C][C]1[/C][C]1.13832[/C][C]-0.138322[/C][/ROW]
[ROW][C]92[/C][C]1[/C][C]0.798749[/C][C]0.201251[/C][/ROW]
[ROW][C]93[/C][C]1[/C][C]0.712751[/C][C]0.287249[/C][/ROW]
[ROW][C]94[/C][C]1[/C][C]0.800903[/C][C]0.199097[/C][/ROW]
[ROW][C]95[/C][C]1[/C][C]0.815211[/C][C]0.184789[/C][/ROW]
[ROW][C]96[/C][C]1[/C][C]0.756302[/C][C]0.243698[/C][/ROW]
[ROW][C]97[/C][C]1[/C][C]0.782813[/C][C]0.217187[/C][/ROW]
[ROW][C]98[/C][C]1[/C][C]1.01377[/C][C]-0.0137686[/C][/ROW]
[ROW][C]99[/C][C]1[/C][C]0.768441[/C][C]0.231559[/C][/ROW]
[ROW][C]100[/C][C]1[/C][C]0.885742[/C][C]0.114258[/C][/ROW]
[ROW][C]101[/C][C]1[/C][C]0.98303[/C][C]0.0169702[/C][/ROW]
[ROW][C]102[/C][C]1[/C][C]0.995343[/C][C]0.00465713[/C][/ROW]
[ROW][C]103[/C][C]1[/C][C]1.0445[/C][C]-0.044495[/C][/ROW]
[ROW][C]104[/C][C]1[/C][C]0.572582[/C][C]0.427418[/C][/ROW]
[ROW][C]105[/C][C]1[/C][C]0.571395[/C][C]0.428605[/C][/ROW]
[ROW][C]106[/C][C]1[/C][C]0.556544[/C][C]0.443456[/C][/ROW]
[ROW][C]107[/C][C]1[/C][C]0.56724[/C][C]0.43276[/C][/ROW]
[ROW][C]108[/C][C]1[/C][C]0.694327[/C][C]0.305673[/C][/ROW]
[ROW][C]109[/C][C]1[/C][C]0.653011[/C][C]0.346989[/C][/ROW]
[ROW][C]110[/C][C]1[/C][C]0.924769[/C][C]0.0752305[/C][/ROW]
[ROW][C]111[/C][C]1[/C][C]1.05296[/C][C]-0.0529555[/C][/ROW]
[ROW][C]112[/C][C]1[/C][C]0.561793[/C][C]0.438207[/C][/ROW]
[ROW][C]113[/C][C]1[/C][C]0.820787[/C][C]0.179213[/C][/ROW]
[ROW][C]114[/C][C]1[/C][C]0.692369[/C][C]0.307631[/C][/ROW]
[ROW][C]115[/C][C]1[/C][C]0.781774[/C][C]0.218226[/C][/ROW]
[ROW][C]116[/C][C]1[/C][C]0.863072[/C][C]0.136928[/C][/ROW]
[ROW][C]117[/C][C]1[/C][C]0.750949[/C][C]0.249051[/C][/ROW]
[ROW][C]118[/C][C]1[/C][C]1.09169[/C][C]-0.0916941[/C][/ROW]
[ROW][C]119[/C][C]1[/C][C]0.883727[/C][C]0.116273[/C][/ROW]
[ROW][C]120[/C][C]1[/C][C]0.764318[/C][C]0.235682[/C][/ROW]
[ROW][C]121[/C][C]1[/C][C]0.560996[/C][C]0.439004[/C][/ROW]
[ROW][C]122[/C][C]1[/C][C]1.00151[/C][C]-0.00151382[/C][/ROW]
[ROW][C]123[/C][C]1[/C][C]0.936607[/C][C]0.0633929[/C][/ROW]
[ROW][C]124[/C][C]1[/C][C]0.698999[/C][C]0.301001[/C][/ROW]
[ROW][C]125[/C][C]1[/C][C]0.601461[/C][C]0.398539[/C][/ROW]
[ROW][C]126[/C][C]1[/C][C]0.591827[/C][C]0.408173[/C][/ROW]
[ROW][C]127[/C][C]1[/C][C]0.577916[/C][C]0.422084[/C][/ROW]
[ROW][C]128[/C][C]1[/C][C]0.599845[/C][C]0.400155[/C][/ROW]
[ROW][C]129[/C][C]1[/C][C]0.445568[/C][C]0.554432[/C][/ROW]
[ROW][C]130[/C][C]1[/C][C]0.780751[/C][C]0.219249[/C][/ROW]
[ROW][C]131[/C][C]1[/C][C]0.80822[/C][C]0.19178[/C][/ROW]
[ROW][C]132[/C][C]1[/C][C]0.914989[/C][C]0.0850111[/C][/ROW]
[ROW][C]133[/C][C]1[/C][C]1.03045[/C][C]-0.0304476[/C][/ROW]
[ROW][C]134[/C][C]1[/C][C]0.644294[/C][C]0.355706[/C][/ROW]
[ROW][C]135[/C][C]1[/C][C]0.935496[/C][C]0.0645043[/C][/ROW]
[ROW][C]136[/C][C]1[/C][C]0.960039[/C][C]0.0399609[/C][/ROW]
[ROW][C]137[/C][C]1[/C][C]1.14962[/C][C]-0.149623[/C][/ROW]
[ROW][C]138[/C][C]1[/C][C]1.14918[/C][C]-0.149177[/C][/ROW]
[ROW][C]139[/C][C]1[/C][C]0.950337[/C][C]0.0496629[/C][/ROW]
[ROW][C]140[/C][C]1[/C][C]0.770222[/C][C]0.229778[/C][/ROW]
[ROW][C]141[/C][C]1[/C][C]0.934059[/C][C]0.0659409[/C][/ROW]
[ROW][C]142[/C][C]1[/C][C]0.904439[/C][C]0.0955609[/C][/ROW]
[ROW][C]143[/C][C]1[/C][C]0.72179[/C][C]0.27821[/C][/ROW]
[ROW][C]144[/C][C]1[/C][C]0.631468[/C][C]0.368532[/C][/ROW]
[ROW][C]145[/C][C]1[/C][C]0.534794[/C][C]0.465206[/C][/ROW]
[ROW][C]146[/C][C]1[/C][C]0.851266[/C][C]0.148734[/C][/ROW]
[ROW][C]147[/C][C]1[/C][C]1.34772[/C][C]-0.347719[/C][/ROW]
[ROW][C]148[/C][C]1[/C][C]1.1218[/C][C]-0.121804[/C][/ROW]
[ROW][C]149[/C][C]1[/C][C]1.25968[/C][C]-0.259677[/C][/ROW]
[ROW][C]150[/C][C]1[/C][C]0.848108[/C][C]0.151892[/C][/ROW]
[ROW][C]151[/C][C]1[/C][C]0.82481[/C][C]0.17519[/C][/ROW]
[ROW][C]152[/C][C]1[/C][C]1.0221[/C][C]-0.0221015[/C][/ROW]
[ROW][C]153[/C][C]1[/C][C]0.9684[/C][C]0.0316001[/C][/ROW]
[ROW][C]154[/C][C]1[/C][C]0.811903[/C][C]0.188097[/C][/ROW]
[ROW][C]155[/C][C]1[/C][C]0.927261[/C][C]0.0727394[/C][/ROW]
[ROW][C]156[/C][C]1[/C][C]1.04201[/C][C]-0.0420136[/C][/ROW]
[ROW][C]157[/C][C]1[/C][C]0.827394[/C][C]0.172606[/C][/ROW]
[ROW][C]158[/C][C]1[/C][C]1.30659[/C][C]-0.306587[/C][/ROW]
[ROW][C]159[/C][C]1[/C][C]1.00281[/C][C]-0.00280667[/C][/ROW]
[ROW][C]160[/C][C]1[/C][C]0.810082[/C][C]0.189918[/C][/ROW]
[ROW][C]161[/C][C]1[/C][C]1.09388[/C][C]-0.0938775[/C][/ROW]
[ROW][C]162[/C][C]1[/C][C]1.02161[/C][C]-0.0216139[/C][/ROW]
[ROW][C]163[/C][C]1[/C][C]0.907336[/C][C]0.0926637[/C][/ROW]
[ROW][C]164[/C][C]1[/C][C]0.74898[/C][C]0.25102[/C][/ROW]
[ROW][C]165[/C][C]1[/C][C]1.3308[/C][C]-0.330799[/C][/ROW]
[ROW][C]166[/C][C]0[/C][C]0.469862[/C][C]-0.469862[/C][/ROW]
[ROW][C]167[/C][C]0[/C][C]0.18347[/C][C]-0.18347[/C][/ROW]
[ROW][C]168[/C][C]0[/C][C]0.0170754[/C][C]-0.0170754[/C][/ROW]
[ROW][C]169[/C][C]0[/C][C]0.92948[/C][C]-0.92948[/C][/ROW]
[ROW][C]170[/C][C]0[/C][C]0.176408[/C][C]-0.176408[/C][/ROW]
[ROW][C]171[/C][C]0[/C][C]0.0827605[/C][C]-0.0827605[/C][/ROW]
[ROW][C]172[/C][C]0[/C][C]0.801143[/C][C]-0.801143[/C][/ROW]
[ROW][C]173[/C][C]0[/C][C]0.825604[/C][C]-0.825604[/C][/ROW]
[ROW][C]174[/C][C]0[/C][C]0.870676[/C][C]-0.870676[/C][/ROW]
[ROW][C]175[/C][C]0[/C][C]0.84701[/C][C]-0.84701[/C][/ROW]
[ROW][C]176[/C][C]0[/C][C]0.829027[/C][C]-0.829027[/C][/ROW]
[ROW][C]177[/C][C]0[/C][C]0.784236[/C][C]-0.784236[/C][/ROW]
[ROW][C]178[/C][C]1[/C][C]0.631718[/C][C]0.368282[/C][/ROW]
[ROW][C]179[/C][C]1[/C][C]0.706528[/C][C]0.293472[/C][/ROW]
[ROW][C]180[/C][C]1[/C][C]0.934038[/C][C]0.0659616[/C][/ROW]
[ROW][C]181[/C][C]1[/C][C]0.73146[/C][C]0.26854[/C][/ROW]
[ROW][C]182[/C][C]1[/C][C]0.863711[/C][C]0.136289[/C][/ROW]
[ROW][C]183[/C][C]1[/C][C]0.68647[/C][C]0.31353[/C][/ROW]
[ROW][C]184[/C][C]0[/C][C]0.608799[/C][C]-0.608799[/C][/ROW]
[ROW][C]185[/C][C]0[/C][C]0.65261[/C][C]-0.65261[/C][/ROW]
[ROW][C]186[/C][C]0[/C][C]0.622751[/C][C]-0.622751[/C][/ROW]
[ROW][C]187[/C][C]0[/C][C]0.4327[/C][C]-0.4327[/C][/ROW]
[ROW][C]188[/C][C]0[/C][C]0.485684[/C][C]-0.485684[/C][/ROW]
[ROW][C]189[/C][C]0[/C][C]0.44128[/C][C]-0.44128[/C][/ROW]
[ROW][C]190[/C][C]0[/C][C]0.424169[/C][C]-0.424169[/C][/ROW]
[ROW][C]191[/C][C]0[/C][C]0.629371[/C][C]-0.629371[/C][/ROW]
[ROW][C]192[/C][C]0[/C][C]0.673334[/C][C]-0.673334[/C][/ROW]
[ROW][C]193[/C][C]0[/C][C]-0.207555[/C][C]0.207555[/C][/ROW]
[ROW][C]194[/C][C]0[/C][C]0.209971[/C][C]-0.209971[/C][/ROW]
[ROW][C]195[/C][C]0[/C][C]0.512846[/C][C]-0.512846[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=232187&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232187&T=4

As an alternative you can also use a QR Code:

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

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	InterpolationForecast	ResidualsPrediction Error
1	1	0.937356	0.0626441
2	1	1.06837	-0.0683717
3	1	1.00273	-0.00273208
4	1	1.09493	-0.0949321
5	1	0.926169	0.0738307
6	1	0.97407	0.0259301
7	1	0.802304	0.197696
8	1	0.655331	0.344669
9	1	0.95399	0.0460098
10	1	1.14307	-0.143069
11	1	1.07755	-0.0775508
12	1	1.23016	-0.230155
13	1	0.460638	0.539362
14	1	0.878178	0.121822
15	1	0.711382	0.288618
16	1	0.736528	0.263472
17	1	0.546932	0.453068
18	1	1.32614	-0.326136
19	1	1.30228	-0.302279
20	1	0.96455	0.0354499
21	1	1.08731	-0.0873105
22	1	0.904967	0.0950334
23	1	1.18543	-0.185426
24	1	0.891819	0.108181
25	1	0.830366	0.169634
26	1	0.932469	0.0675309
27	1	0.830335	0.169665
28	1	0.794593	0.205407
29	1	0.673193	0.326807
30	1	0.698497	0.301503
31	0	0.297847	-0.297847
32	0	0.243088	-0.243088
33	0	0.246969	-0.246969
34	0	0.185468	-0.185468
35	0	0.131913	-0.131913
36	0	0.292967	-0.292967
37	1	0.799527	0.200473
38	1	0.825493	0.174507
39	1	0.606112	0.393888
40	1	0.764863	0.235137
41	1	0.612889	0.387111
42	1	0.451997	0.548003
43	0	0.202459	-0.202459
44	0	0.192905	-0.192905
45	0	0.0286343	-0.0286343
46	0	0.107352	-0.107352
47	0	0.0723385	-0.0723385
48	0	-0.00173365	0.00173365
49	0	0.335743	-0.335743
50	0	0.4356	-0.4356
51	0	0.434401	-0.434401
52	0	0.446055	-0.446055
53	0	0.411825	-0.411825
54	0	0.553046	-0.553046
55	1	0.820007	0.179993
56	1	0.791408	0.208592
57	1	0.884677	0.115323
58	1	0.766185	0.233815
59	1	0.768513	0.231487
60	1	0.61424	0.38576
61	0	0.392463	-0.392463
62	0	0.330412	-0.330412
63	0	0.276768	-0.276768
64	0	0.224138	-0.224138
65	0	0.109977	-0.109977
66	0	0.271188	-0.271188
67	1	0.88042	0.11958
68	1	0.857702	0.142298
69	1	0.948804	0.0511955
70	1	0.98425	0.0157502
71	1	0.819281	0.180719
72	1	1.09632	-0.0963242
73	1	0.904691	0.0953095
74	1	0.906043	0.0939569
75	1	1.07332	-0.0733189
76	1	1.05775	-0.0577489
77	1	1.11024	-0.110238
78	1	1.00579	-0.00578513
79	1	0.97858	0.0214202
80	1	1.0827	-0.0826968
81	1	1.18395	-0.183945
82	1	1.10303	-0.103033
83	1	1.00903	-0.00902578
84	1	0.705473	0.294527
85	1	1.06574	-0.0657364
86	1	0.864408	0.135592
87	1	0.657385	0.342615
88	1	0.949762	0.0502382
89	1	0.970458	0.0295418
90	1	1.17029	-0.170294
91	1	1.13832	-0.138322
92	1	0.798749	0.201251
93	1	0.712751	0.287249
94	1	0.800903	0.199097
95	1	0.815211	0.184789
96	1	0.756302	0.243698
97	1	0.782813	0.217187
98	1	1.01377	-0.0137686
99	1	0.768441	0.231559
100	1	0.885742	0.114258
101	1	0.98303	0.0169702
102	1	0.995343	0.00465713
103	1	1.0445	-0.044495
104	1	0.572582	0.427418
105	1	0.571395	0.428605
106	1	0.556544	0.443456
107	1	0.56724	0.43276
108	1	0.694327	0.305673
109	1	0.653011	0.346989
110	1	0.924769	0.0752305
111	1	1.05296	-0.0529555
112	1	0.561793	0.438207
113	1	0.820787	0.179213
114	1	0.692369	0.307631
115	1	0.781774	0.218226
116	1	0.863072	0.136928
117	1	0.750949	0.249051
118	1	1.09169	-0.0916941
119	1	0.883727	0.116273
120	1	0.764318	0.235682
121	1	0.560996	0.439004
122	1	1.00151	-0.00151382
123	1	0.936607	0.0633929
124	1	0.698999	0.301001
125	1	0.601461	0.398539
126	1	0.591827	0.408173
127	1	0.577916	0.422084
128	1	0.599845	0.400155
129	1	0.445568	0.554432
130	1	0.780751	0.219249
131	1	0.80822	0.19178
132	1	0.914989	0.0850111
133	1	1.03045	-0.0304476
134	1	0.644294	0.355706
135	1	0.935496	0.0645043
136	1	0.960039	0.0399609
137	1	1.14962	-0.149623
138	1	1.14918	-0.149177
139	1	0.950337	0.0496629
140	1	0.770222	0.229778
141	1	0.934059	0.0659409
142	1	0.904439	0.0955609
143	1	0.72179	0.27821
144	1	0.631468	0.368532
145	1	0.534794	0.465206
146	1	0.851266	0.148734
147	1	1.34772	-0.347719
148	1	1.1218	-0.121804
149	1	1.25968	-0.259677
150	1	0.848108	0.151892
151	1	0.82481	0.17519
152	1	1.0221	-0.0221015
153	1	0.9684	0.0316001
154	1	0.811903	0.188097
155	1	0.927261	0.0727394
156	1	1.04201	-0.0420136
157	1	0.827394	0.172606
158	1	1.30659	-0.306587
159	1	1.00281	-0.00280667
160	1	0.810082	0.189918
161	1	1.09388	-0.0938775
162	1	1.02161	-0.0216139
163	1	0.907336	0.0926637
164	1	0.74898	0.25102
165	1	1.3308	-0.330799
166	0	0.469862	-0.469862
167	0	0.18347	-0.18347
168	0	0.0170754	-0.0170754
169	0	0.92948	-0.92948
170	0	0.176408	-0.176408
171	0	0.0827605	-0.0827605
172	0	0.801143	-0.801143
173	0	0.825604	-0.825604
174	0	0.870676	-0.870676
175	0	0.84701	-0.84701
176	0	0.829027	-0.829027
177	0	0.784236	-0.784236
178	1	0.631718	0.368282
179	1	0.706528	0.293472
180	1	0.934038	0.0659616
181	1	0.73146	0.26854
182	1	0.863711	0.136289
183	1	0.68647	0.31353
184	0	0.608799	-0.608799
185	0	0.65261	-0.65261
186	0	0.622751	-0.622751
187	0	0.4327	-0.4327
188	0	0.485684	-0.485684
189	0	0.44128	-0.44128
190	0	0.424169	-0.424169
191	0	0.629371	-0.629371
192	0	0.673334	-0.673334
193	0	-0.207555	0.207555
194	0	0.209971	-0.209971
195	0	0.512846	-0.512846

Goldfeld-Quandt test for Heteroskedasticity
p-values	Alternative Hypothesis
breakpoint index	greater	2-sided	less
23	2.73957e-48	5.47913e-48	1
24	6.90507e-65	1.38101e-64	1
25	1.87082e-81	3.74164e-81	1
26	2.49543e-104	4.99086e-104	1
27	5.17981e-111	1.03596e-110	1
28	5.68538e-124	1.13708e-123	1
29	5.31694e-141	1.06339e-140	1
30	4.71827e-157	9.43655e-157	1
31	3.79993e-05	7.59986e-05	0.999962
32	1.14904e-05	2.29809e-05	0.999989
33	3.42147e-06	6.84295e-06	0.999997
34	9.5923e-07	1.91846e-06	0.999999
35	2.55572e-07	5.11143e-07	1
36	9.60775e-08	1.92155e-07	1
37	4.06466e-05	8.12931e-05	0.999959
38	5.0708e-05	0.000101416	0.999949
39	0.000971919	0.00194384	0.999028
40	0.00175896	0.00351793	0.998241
41	0.00311709	0.00623417	0.996883
42	0.00262488	0.00524976	0.997375
43	0.00147638	0.00295276	0.998524
44	0.00102343	0.00204686	0.998977
45	0.000653565	0.00130713	0.999346
46	0.000379441	0.000758883	0.999621
47	0.000272417	0.000544834	0.999728
48	0.000567082	0.00113416	0.999433
49	0.000540018	0.00108004	0.99946
50	0.000444011	0.000888022	0.999556
51	0.000300532	0.000601065	0.999699
52	0.000230971	0.000461941	0.999769
53	0.000180013	0.000360027	0.99982
54	0.000207582	0.000415164	0.999792
55	0.000173703	0.000347405	0.999826
56	0.000139476	0.000278952	0.999861
57	8.64433e-05	0.000172887	0.999914
58	6.7632e-05	0.000135264	0.999932
59	4.38016e-05	8.76032e-05	0.999956
60	2.74365e-05	5.48731e-05	0.999973
61	0.000336279	0.000672557	0.999664
62	0.000348741	0.000697481	0.999651
63	0.000424512	0.000849024	0.999575
64	0.000427311	0.000854621	0.999573
65	0.000274395	0.000548791	0.999726
66	0.000230974	0.000461949	0.999769
67	0.00015278	0.00030556	0.999847
68	9.88365e-05	0.000197673	0.999901
69	9.79202e-05	0.00019584	0.999902
70	7.69336e-05	0.000153867	0.999923
71	4.57046e-05	9.14093e-05	0.999954
72	3.13527e-05	6.27054e-05	0.999969
73	1.81742e-05	3.63483e-05	0.999982
74	5.38999e-05	0.0001078	0.999946
75	6.85188e-05	0.000137038	0.999931
76	4.96331e-05	9.92661e-05	0.99995
77	3.18618e-05	6.37235e-05	0.999968
78	2.49912e-05	4.99823e-05	0.999975
79	1.4627e-05	2.9254e-05	0.999985
80	1.08439e-05	2.16879e-05	0.999989
81	8.20208e-06	1.64042e-05	0.999992
82	4.72675e-06	9.45349e-06	0.999995
83	3.11238e-06	6.22476e-06	0.999997
84	2.03735e-06	4.0747e-06	0.999998
85	1.22853e-06	2.45706e-06	0.999999
86	1.59644e-06	3.19288e-06	0.999998
87	3.2911e-06	6.58221e-06	0.999997
88	1.9799e-06	3.95981e-06	0.999998
89	1.48741e-06	2.97481e-06	0.999999
90	2.66063e-06	5.32125e-06	0.999997
91	3.68841e-06	7.37681e-06	0.999996
92	4.85549e-06	9.71099e-06	0.999995
93	3.40973e-06	6.81945e-06	0.999997
94	2.89175e-06	5.7835e-06	0.999997
95	1.99973e-06	3.99946e-06	0.999998
96	1.3527e-06	2.70539e-06	0.999999
97	9.09721e-07	1.81944e-06	0.999999
98	5.23976e-07	1.04795e-06	0.999999
99	3.14876e-07	6.29752e-07	1
100	2.34998e-07	4.69996e-07	1
101	1.43424e-07	2.86848e-07	1
102	1.28829e-07	2.57658e-07	1
103	1.66596e-07	3.33191e-07	1
104	3.38582e-07	6.77165e-07	1
105	5.10738e-07	1.02148e-06	0.999999
106	1.0102e-06	2.0204e-06	0.999999
107	1.78272e-06	3.56545e-06	0.999998
108	1.25506e-06	2.51011e-06	0.999999
109	2.35223e-06	4.70446e-06	0.999998
110	1.7448e-06	3.4896e-06	0.999998
111	1.05971e-06	2.11941e-06	0.999999
112	2.11007e-06	4.22014e-06	0.999998
113	1.26807e-06	2.53614e-06	0.999999
114	1.38667e-06	2.77335e-06	0.999999
115	1.60602e-06	3.21205e-06	0.999998
116	1.39162e-06	2.78324e-06	0.999999
117	1.59088e-06	3.18176e-06	0.999998
118	1.10206e-06	2.20413e-06	0.999999
119	7.59898e-07	1.5198e-06	0.999999
120	1.44388e-06	2.88776e-06	0.999999
121	4.67124e-06	9.34247e-06	0.999995
122	1.03229e-05	2.06458e-05	0.99999
123	6.83269e-06	1.36654e-05	0.999993
124	4.97023e-06	9.94045e-06	0.999995
125	3.83734e-06	7.67469e-06	0.999996
126	5.43476e-06	1.08695e-05	0.999995
127	1.05404e-05	2.10809e-05	0.999989
128	0.000181318	0.000362635	0.999819
129	0.000328731	0.000657461	0.999671
130	0.00032942	0.00065884	0.999671
131	0.000274486	0.000548972	0.999726
132	0.000183796	0.000367592	0.999816
133	0.000152565	0.00030513	0.999847
134	0.000492361	0.000984722	0.999508
135	0.000652928	0.00130586	0.999347
136	0.00046553	0.000931061	0.999534
137	0.000555043	0.00111009	0.999445
138	0.000510186	0.00102037	0.99949
139	0.000324689	0.000649379	0.999675
140	0.000207914	0.000415828	0.999792
141	0.000211177	0.000422354	0.999789
142	0.000149602	0.000299204	0.99985
143	0.000149353	0.000298706	0.999851
144	0.000470318	0.000940635	0.99953
145	0.00045973	0.000919461	0.99954
146	0.000406078	0.000812156	0.999594
147	0.000345622	0.000691244	0.999654
148	0.00027451	0.00054902	0.999725
149	0.000176392	0.000352783	0.999824
150	0.000164869	0.000329738	0.999835
151	9.67803e-05	0.000193561	0.999903
152	0.00067965	0.0013593	0.99932
153	0.000511057	0.00102211	0.999489
154	0.000362237	0.000724474	0.999638
155	0.000263215	0.000526429	0.999737
156	0.000271598	0.000543195	0.999728
157	0.000248637	0.000497274	0.999751
158	0.000240882	0.000481765	0.999759
159	0.000147707	0.000295415	0.999852
160	0.000141854	0.000283708	0.999858
161	0.000622814	0.00124563	0.999377
162	0.00054238	0.00108476	0.999458
163	0.000529872	0.00105974	0.99947
164	0.125691	0.251381	0.874309
165	0.329114	0.658228	0.670886
166	0.28567	0.571341	0.71433
167	0.265485	0.530971	0.734515
168	0.199434	0.398867	0.800566
169	0.255218	0.510436	0.744782
170	0.223172	0.446345	0.776828
171	0.786459	0.427082	0.213541
172	0.866425	0.26715	0.133575

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
23 & 2.73957e-48 & 5.47913e-48 & 1 \tabularnewline
24 & 6.90507e-65 & 1.38101e-64 & 1 \tabularnewline
25 & 1.87082e-81 & 3.74164e-81 & 1 \tabularnewline
26 & 2.49543e-104 & 4.99086e-104 & 1 \tabularnewline
27 & 5.17981e-111 & 1.03596e-110 & 1 \tabularnewline
28 & 5.68538e-124 & 1.13708e-123 & 1 \tabularnewline
29 & 5.31694e-141 & 1.06339e-140 & 1 \tabularnewline
30 & 4.71827e-157 & 9.43655e-157 & 1 \tabularnewline
31 & 3.79993e-05 & 7.59986e-05 & 0.999962 \tabularnewline
32 & 1.14904e-05 & 2.29809e-05 & 0.999989 \tabularnewline
33 & 3.42147e-06 & 6.84295e-06 & 0.999997 \tabularnewline
34 & 9.5923e-07 & 1.91846e-06 & 0.999999 \tabularnewline
35 & 2.55572e-07 & 5.11143e-07 & 1 \tabularnewline
36 & 9.60775e-08 & 1.92155e-07 & 1 \tabularnewline
37 & 4.06466e-05 & 8.12931e-05 & 0.999959 \tabularnewline
38 & 5.0708e-05 & 0.000101416 & 0.999949 \tabularnewline
39 & 0.000971919 & 0.00194384 & 0.999028 \tabularnewline
40 & 0.00175896 & 0.00351793 & 0.998241 \tabularnewline
41 & 0.00311709 & 0.00623417 & 0.996883 \tabularnewline
42 & 0.00262488 & 0.00524976 & 0.997375 \tabularnewline
43 & 0.00147638 & 0.00295276 & 0.998524 \tabularnewline
44 & 0.00102343 & 0.00204686 & 0.998977 \tabularnewline
45 & 0.000653565 & 0.00130713 & 0.999346 \tabularnewline
46 & 0.000379441 & 0.000758883 & 0.999621 \tabularnewline
47 & 0.000272417 & 0.000544834 & 0.999728 \tabularnewline
48 & 0.000567082 & 0.00113416 & 0.999433 \tabularnewline
49 & 0.000540018 & 0.00108004 & 0.99946 \tabularnewline
50 & 0.000444011 & 0.000888022 & 0.999556 \tabularnewline
51 & 0.000300532 & 0.000601065 & 0.999699 \tabularnewline
52 & 0.000230971 & 0.000461941 & 0.999769 \tabularnewline
53 & 0.000180013 & 0.000360027 & 0.99982 \tabularnewline
54 & 0.000207582 & 0.000415164 & 0.999792 \tabularnewline
55 & 0.000173703 & 0.000347405 & 0.999826 \tabularnewline
56 & 0.000139476 & 0.000278952 & 0.999861 \tabularnewline
57 & 8.64433e-05 & 0.000172887 & 0.999914 \tabularnewline
58 & 6.7632e-05 & 0.000135264 & 0.999932 \tabularnewline
59 & 4.38016e-05 & 8.76032e-05 & 0.999956 \tabularnewline
60 & 2.74365e-05 & 5.48731e-05 & 0.999973 \tabularnewline
61 & 0.000336279 & 0.000672557 & 0.999664 \tabularnewline
62 & 0.000348741 & 0.000697481 & 0.999651 \tabularnewline
63 & 0.000424512 & 0.000849024 & 0.999575 \tabularnewline
64 & 0.000427311 & 0.000854621 & 0.999573 \tabularnewline
65 & 0.000274395 & 0.000548791 & 0.999726 \tabularnewline
66 & 0.000230974 & 0.000461949 & 0.999769 \tabularnewline
67 & 0.00015278 & 0.00030556 & 0.999847 \tabularnewline
68 & 9.88365e-05 & 0.000197673 & 0.999901 \tabularnewline
69 & 9.79202e-05 & 0.00019584 & 0.999902 \tabularnewline
70 & 7.69336e-05 & 0.000153867 & 0.999923 \tabularnewline
71 & 4.57046e-05 & 9.14093e-05 & 0.999954 \tabularnewline
72 & 3.13527e-05 & 6.27054e-05 & 0.999969 \tabularnewline
73 & 1.81742e-05 & 3.63483e-05 & 0.999982 \tabularnewline
74 & 5.38999e-05 & 0.0001078 & 0.999946 \tabularnewline
75 & 6.85188e-05 & 0.000137038 & 0.999931 \tabularnewline
76 & 4.96331e-05 & 9.92661e-05 & 0.99995 \tabularnewline
77 & 3.18618e-05 & 6.37235e-05 & 0.999968 \tabularnewline
78 & 2.49912e-05 & 4.99823e-05 & 0.999975 \tabularnewline
79 & 1.4627e-05 & 2.9254e-05 & 0.999985 \tabularnewline
80 & 1.08439e-05 & 2.16879e-05 & 0.999989 \tabularnewline
81 & 8.20208e-06 & 1.64042e-05 & 0.999992 \tabularnewline
82 & 4.72675e-06 & 9.45349e-06 & 0.999995 \tabularnewline
83 & 3.11238e-06 & 6.22476e-06 & 0.999997 \tabularnewline
84 & 2.03735e-06 & 4.0747e-06 & 0.999998 \tabularnewline
85 & 1.22853e-06 & 2.45706e-06 & 0.999999 \tabularnewline
86 & 1.59644e-06 & 3.19288e-06 & 0.999998 \tabularnewline
87 & 3.2911e-06 & 6.58221e-06 & 0.999997 \tabularnewline
88 & 1.9799e-06 & 3.95981e-06 & 0.999998 \tabularnewline
89 & 1.48741e-06 & 2.97481e-06 & 0.999999 \tabularnewline
90 & 2.66063e-06 & 5.32125e-06 & 0.999997 \tabularnewline
91 & 3.68841e-06 & 7.37681e-06 & 0.999996 \tabularnewline
92 & 4.85549e-06 & 9.71099e-06 & 0.999995 \tabularnewline
93 & 3.40973e-06 & 6.81945e-06 & 0.999997 \tabularnewline
94 & 2.89175e-06 & 5.7835e-06 & 0.999997 \tabularnewline
95 & 1.99973e-06 & 3.99946e-06 & 0.999998 \tabularnewline
96 & 1.3527e-06 & 2.70539e-06 & 0.999999 \tabularnewline
97 & 9.09721e-07 & 1.81944e-06 & 0.999999 \tabularnewline
98 & 5.23976e-07 & 1.04795e-06 & 0.999999 \tabularnewline
99 & 3.14876e-07 & 6.29752e-07 & 1 \tabularnewline
100 & 2.34998e-07 & 4.69996e-07 & 1 \tabularnewline
101 & 1.43424e-07 & 2.86848e-07 & 1 \tabularnewline
102 & 1.28829e-07 & 2.57658e-07 & 1 \tabularnewline
103 & 1.66596e-07 & 3.33191e-07 & 1 \tabularnewline
104 & 3.38582e-07 & 6.77165e-07 & 1 \tabularnewline
105 & 5.10738e-07 & 1.02148e-06 & 0.999999 \tabularnewline
106 & 1.0102e-06 & 2.0204e-06 & 0.999999 \tabularnewline
107 & 1.78272e-06 & 3.56545e-06 & 0.999998 \tabularnewline
108 & 1.25506e-06 & 2.51011e-06 & 0.999999 \tabularnewline
109 & 2.35223e-06 & 4.70446e-06 & 0.999998 \tabularnewline
110 & 1.7448e-06 & 3.4896e-06 & 0.999998 \tabularnewline
111 & 1.05971e-06 & 2.11941e-06 & 0.999999 \tabularnewline
112 & 2.11007e-06 & 4.22014e-06 & 0.999998 \tabularnewline
113 & 1.26807e-06 & 2.53614e-06 & 0.999999 \tabularnewline
114 & 1.38667e-06 & 2.77335e-06 & 0.999999 \tabularnewline
115 & 1.60602e-06 & 3.21205e-06 & 0.999998 \tabularnewline
116 & 1.39162e-06 & 2.78324e-06 & 0.999999 \tabularnewline
117 & 1.59088e-06 & 3.18176e-06 & 0.999998 \tabularnewline
118 & 1.10206e-06 & 2.20413e-06 & 0.999999 \tabularnewline
119 & 7.59898e-07 & 1.5198e-06 & 0.999999 \tabularnewline
120 & 1.44388e-06 & 2.88776e-06 & 0.999999 \tabularnewline
121 & 4.67124e-06 & 9.34247e-06 & 0.999995 \tabularnewline
122 & 1.03229e-05 & 2.06458e-05 & 0.99999 \tabularnewline
123 & 6.83269e-06 & 1.36654e-05 & 0.999993 \tabularnewline
124 & 4.97023e-06 & 9.94045e-06 & 0.999995 \tabularnewline
125 & 3.83734e-06 & 7.67469e-06 & 0.999996 \tabularnewline
126 & 5.43476e-06 & 1.08695e-05 & 0.999995 \tabularnewline
127 & 1.05404e-05 & 2.10809e-05 & 0.999989 \tabularnewline
128 & 0.000181318 & 0.000362635 & 0.999819 \tabularnewline
129 & 0.000328731 & 0.000657461 & 0.999671 \tabularnewline
130 & 0.00032942 & 0.00065884 & 0.999671 \tabularnewline
131 & 0.000274486 & 0.000548972 & 0.999726 \tabularnewline
132 & 0.000183796 & 0.000367592 & 0.999816 \tabularnewline
133 & 0.000152565 & 0.00030513 & 0.999847 \tabularnewline
134 & 0.000492361 & 0.000984722 & 0.999508 \tabularnewline
135 & 0.000652928 & 0.00130586 & 0.999347 \tabularnewline
136 & 0.00046553 & 0.000931061 & 0.999534 \tabularnewline
137 & 0.000555043 & 0.00111009 & 0.999445 \tabularnewline
138 & 0.000510186 & 0.00102037 & 0.99949 \tabularnewline
139 & 0.000324689 & 0.000649379 & 0.999675 \tabularnewline
140 & 0.000207914 & 0.000415828 & 0.999792 \tabularnewline
141 & 0.000211177 & 0.000422354 & 0.999789 \tabularnewline
142 & 0.000149602 & 0.000299204 & 0.99985 \tabularnewline
143 & 0.000149353 & 0.000298706 & 0.999851 \tabularnewline
144 & 0.000470318 & 0.000940635 & 0.99953 \tabularnewline
145 & 0.00045973 & 0.000919461 & 0.99954 \tabularnewline
146 & 0.000406078 & 0.000812156 & 0.999594 \tabularnewline
147 & 0.000345622 & 0.000691244 & 0.999654 \tabularnewline
148 & 0.00027451 & 0.00054902 & 0.999725 \tabularnewline
149 & 0.000176392 & 0.000352783 & 0.999824 \tabularnewline
150 & 0.000164869 & 0.000329738 & 0.999835 \tabularnewline
151 & 9.67803e-05 & 0.000193561 & 0.999903 \tabularnewline
152 & 0.00067965 & 0.0013593 & 0.99932 \tabularnewline
153 & 0.000511057 & 0.00102211 & 0.999489 \tabularnewline
154 & 0.000362237 & 0.000724474 & 0.999638 \tabularnewline
155 & 0.000263215 & 0.000526429 & 0.999737 \tabularnewline
156 & 0.000271598 & 0.000543195 & 0.999728 \tabularnewline
157 & 0.000248637 & 0.000497274 & 0.999751 \tabularnewline
158 & 0.000240882 & 0.000481765 & 0.999759 \tabularnewline
159 & 0.000147707 & 0.000295415 & 0.999852 \tabularnewline
160 & 0.000141854 & 0.000283708 & 0.999858 \tabularnewline
161 & 0.000622814 & 0.00124563 & 0.999377 \tabularnewline
162 & 0.00054238 & 0.00108476 & 0.999458 \tabularnewline
163 & 0.000529872 & 0.00105974 & 0.99947 \tabularnewline
164 & 0.125691 & 0.251381 & 0.874309 \tabularnewline
165 & 0.329114 & 0.658228 & 0.670886 \tabularnewline
166 & 0.28567 & 0.571341 & 0.71433 \tabularnewline
167 & 0.265485 & 0.530971 & 0.734515 \tabularnewline
168 & 0.199434 & 0.398867 & 0.800566 \tabularnewline
169 & 0.255218 & 0.510436 & 0.744782 \tabularnewline
170 & 0.223172 & 0.446345 & 0.776828 \tabularnewline
171 & 0.786459 & 0.427082 & 0.213541 \tabularnewline
172 & 0.866425 & 0.26715 & 0.133575 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232187&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]23[/C][C]2.73957e-48[/C][C]5.47913e-48[/C][C]1[/C][/ROW]
[ROW][C]24[/C][C]6.90507e-65[/C][C]1.38101e-64[/C][C]1[/C][/ROW]
[ROW][C]25[/C][C]1.87082e-81[/C][C]3.74164e-81[/C][C]1[/C][/ROW]
[ROW][C]26[/C][C]2.49543e-104[/C][C]4.99086e-104[/C][C]1[/C][/ROW]
[ROW][C]27[/C][C]5.17981e-111[/C][C]1.03596e-110[/C][C]1[/C][/ROW]
[ROW][C]28[/C][C]5.68538e-124[/C][C]1.13708e-123[/C][C]1[/C][/ROW]
[ROW][C]29[/C][C]5.31694e-141[/C][C]1.06339e-140[/C][C]1[/C][/ROW]
[ROW][C]30[/C][C]4.71827e-157[/C][C]9.43655e-157[/C][C]1[/C][/ROW]
[ROW][C]31[/C][C]3.79993e-05[/C][C]7.59986e-05[/C][C]0.999962[/C][/ROW]
[ROW][C]32[/C][C]1.14904e-05[/C][C]2.29809e-05[/C][C]0.999989[/C][/ROW]
[ROW][C]33[/C][C]3.42147e-06[/C][C]6.84295e-06[/C][C]0.999997[/C][/ROW]
[ROW][C]34[/C][C]9.5923e-07[/C][C]1.91846e-06[/C][C]0.999999[/C][/ROW]
[ROW][C]35[/C][C]2.55572e-07[/C][C]5.11143e-07[/C][C]1[/C][/ROW]
[ROW][C]36[/C][C]9.60775e-08[/C][C]1.92155e-07[/C][C]1[/C][/ROW]
[ROW][C]37[/C][C]4.06466e-05[/C][C]8.12931e-05[/C][C]0.999959[/C][/ROW]
[ROW][C]38[/C][C]5.0708e-05[/C][C]0.000101416[/C][C]0.999949[/C][/ROW]
[ROW][C]39[/C][C]0.000971919[/C][C]0.00194384[/C][C]0.999028[/C][/ROW]
[ROW][C]40[/C][C]0.00175896[/C][C]0.00351793[/C][C]0.998241[/C][/ROW]
[ROW][C]41[/C][C]0.00311709[/C][C]0.00623417[/C][C]0.996883[/C][/ROW]
[ROW][C]42[/C][C]0.00262488[/C][C]0.00524976[/C][C]0.997375[/C][/ROW]
[ROW][C]43[/C][C]0.00147638[/C][C]0.00295276[/C][C]0.998524[/C][/ROW]
[ROW][C]44[/C][C]0.00102343[/C][C]0.00204686[/C][C]0.998977[/C][/ROW]
[ROW][C]45[/C][C]0.000653565[/C][C]0.00130713[/C][C]0.999346[/C][/ROW]
[ROW][C]46[/C][C]0.000379441[/C][C]0.000758883[/C][C]0.999621[/C][/ROW]
[ROW][C]47[/C][C]0.000272417[/C][C]0.000544834[/C][C]0.999728[/C][/ROW]
[ROW][C]48[/C][C]0.000567082[/C][C]0.00113416[/C][C]0.999433[/C][/ROW]
[ROW][C]49[/C][C]0.000540018[/C][C]0.00108004[/C][C]0.99946[/C][/ROW]
[ROW][C]50[/C][C]0.000444011[/C][C]0.000888022[/C][C]0.999556[/C][/ROW]
[ROW][C]51[/C][C]0.000300532[/C][C]0.000601065[/C][C]0.999699[/C][/ROW]
[ROW][C]52[/C][C]0.000230971[/C][C]0.000461941[/C][C]0.999769[/C][/ROW]
[ROW][C]53[/C][C]0.000180013[/C][C]0.000360027[/C][C]0.99982[/C][/ROW]
[ROW][C]54[/C][C]0.000207582[/C][C]0.000415164[/C][C]0.999792[/C][/ROW]
[ROW][C]55[/C][C]0.000173703[/C][C]0.000347405[/C][C]0.999826[/C][/ROW]
[ROW][C]56[/C][C]0.000139476[/C][C]0.000278952[/C][C]0.999861[/C][/ROW]
[ROW][C]57[/C][C]8.64433e-05[/C][C]0.000172887[/C][C]0.999914[/C][/ROW]
[ROW][C]58[/C][C]6.7632e-05[/C][C]0.000135264[/C][C]0.999932[/C][/ROW]
[ROW][C]59[/C][C]4.38016e-05[/C][C]8.76032e-05[/C][C]0.999956[/C][/ROW]
[ROW][C]60[/C][C]2.74365e-05[/C][C]5.48731e-05[/C][C]0.999973[/C][/ROW]
[ROW][C]61[/C][C]0.000336279[/C][C]0.000672557[/C][C]0.999664[/C][/ROW]
[ROW][C]62[/C][C]0.000348741[/C][C]0.000697481[/C][C]0.999651[/C][/ROW]
[ROW][C]63[/C][C]0.000424512[/C][C]0.000849024[/C][C]0.999575[/C][/ROW]
[ROW][C]64[/C][C]0.000427311[/C][C]0.000854621[/C][C]0.999573[/C][/ROW]
[ROW][C]65[/C][C]0.000274395[/C][C]0.000548791[/C][C]0.999726[/C][/ROW]
[ROW][C]66[/C][C]0.000230974[/C][C]0.000461949[/C][C]0.999769[/C][/ROW]
[ROW][C]67[/C][C]0.00015278[/C][C]0.00030556[/C][C]0.999847[/C][/ROW]
[ROW][C]68[/C][C]9.88365e-05[/C][C]0.000197673[/C][C]0.999901[/C][/ROW]
[ROW][C]69[/C][C]9.79202e-05[/C][C]0.00019584[/C][C]0.999902[/C][/ROW]
[ROW][C]70[/C][C]7.69336e-05[/C][C]0.000153867[/C][C]0.999923[/C][/ROW]
[ROW][C]71[/C][C]4.57046e-05[/C][C]9.14093e-05[/C][C]0.999954[/C][/ROW]
[ROW][C]72[/C][C]3.13527e-05[/C][C]6.27054e-05[/C][C]0.999969[/C][/ROW]
[ROW][C]73[/C][C]1.81742e-05[/C][C]3.63483e-05[/C][C]0.999982[/C][/ROW]
[ROW][C]74[/C][C]5.38999e-05[/C][C]0.0001078[/C][C]0.999946[/C][/ROW]
[ROW][C]75[/C][C]6.85188e-05[/C][C]0.000137038[/C][C]0.999931[/C][/ROW]
[ROW][C]76[/C][C]4.96331e-05[/C][C]9.92661e-05[/C][C]0.99995[/C][/ROW]
[ROW][C]77[/C][C]3.18618e-05[/C][C]6.37235e-05[/C][C]0.999968[/C][/ROW]
[ROW][C]78[/C][C]2.49912e-05[/C][C]4.99823e-05[/C][C]0.999975[/C][/ROW]
[ROW][C]79[/C][C]1.4627e-05[/C][C]2.9254e-05[/C][C]0.999985[/C][/ROW]
[ROW][C]80[/C][C]1.08439e-05[/C][C]2.16879e-05[/C][C]0.999989[/C][/ROW]
[ROW][C]81[/C][C]8.20208e-06[/C][C]1.64042e-05[/C][C]0.999992[/C][/ROW]
[ROW][C]82[/C][C]4.72675e-06[/C][C]9.45349e-06[/C][C]0.999995[/C][/ROW]
[ROW][C]83[/C][C]3.11238e-06[/C][C]6.22476e-06[/C][C]0.999997[/C][/ROW]
[ROW][C]84[/C][C]2.03735e-06[/C][C]4.0747e-06[/C][C]0.999998[/C][/ROW]
[ROW][C]85[/C][C]1.22853e-06[/C][C]2.45706e-06[/C][C]0.999999[/C][/ROW]
[ROW][C]86[/C][C]1.59644e-06[/C][C]3.19288e-06[/C][C]0.999998[/C][/ROW]
[ROW][C]87[/C][C]3.2911e-06[/C][C]6.58221e-06[/C][C]0.999997[/C][/ROW]
[ROW][C]88[/C][C]1.9799e-06[/C][C]3.95981e-06[/C][C]0.999998[/C][/ROW]
[ROW][C]89[/C][C]1.48741e-06[/C][C]2.97481e-06[/C][C]0.999999[/C][/ROW]
[ROW][C]90[/C][C]2.66063e-06[/C][C]5.32125e-06[/C][C]0.999997[/C][/ROW]
[ROW][C]91[/C][C]3.68841e-06[/C][C]7.37681e-06[/C][C]0.999996[/C][/ROW]
[ROW][C]92[/C][C]4.85549e-06[/C][C]9.71099e-06[/C][C]0.999995[/C][/ROW]
[ROW][C]93[/C][C]3.40973e-06[/C][C]6.81945e-06[/C][C]0.999997[/C][/ROW]
[ROW][C]94[/C][C]2.89175e-06[/C][C]5.7835e-06[/C][C]0.999997[/C][/ROW]
[ROW][C]95[/C][C]1.99973e-06[/C][C]3.99946e-06[/C][C]0.999998[/C][/ROW]
[ROW][C]96[/C][C]1.3527e-06[/C][C]2.70539e-06[/C][C]0.999999[/C][/ROW]
[ROW][C]97[/C][C]9.09721e-07[/C][C]1.81944e-06[/C][C]0.999999[/C][/ROW]
[ROW][C]98[/C][C]5.23976e-07[/C][C]1.04795e-06[/C][C]0.999999[/C][/ROW]
[ROW][C]99[/C][C]3.14876e-07[/C][C]6.29752e-07[/C][C]1[/C][/ROW]
[ROW][C]100[/C][C]2.34998e-07[/C][C]4.69996e-07[/C][C]1[/C][/ROW]
[ROW][C]101[/C][C]1.43424e-07[/C][C]2.86848e-07[/C][C]1[/C][/ROW]
[ROW][C]102[/C][C]1.28829e-07[/C][C]2.57658e-07[/C][C]1[/C][/ROW]
[ROW][C]103[/C][C]1.66596e-07[/C][C]3.33191e-07[/C][C]1[/C][/ROW]
[ROW][C]104[/C][C]3.38582e-07[/C][C]6.77165e-07[/C][C]1[/C][/ROW]
[ROW][C]105[/C][C]5.10738e-07[/C][C]1.02148e-06[/C][C]0.999999[/C][/ROW]
[ROW][C]106[/C][C]1.0102e-06[/C][C]2.0204e-06[/C][C]0.999999[/C][/ROW]
[ROW][C]107[/C][C]1.78272e-06[/C][C]3.56545e-06[/C][C]0.999998[/C][/ROW]
[ROW][C]108[/C][C]1.25506e-06[/C][C]2.51011e-06[/C][C]0.999999[/C][/ROW]
[ROW][C]109[/C][C]2.35223e-06[/C][C]4.70446e-06[/C][C]0.999998[/C][/ROW]
[ROW][C]110[/C][C]1.7448e-06[/C][C]3.4896e-06[/C][C]0.999998[/C][/ROW]
[ROW][C]111[/C][C]1.05971e-06[/C][C]2.11941e-06[/C][C]0.999999[/C][/ROW]
[ROW][C]112[/C][C]2.11007e-06[/C][C]4.22014e-06[/C][C]0.999998[/C][/ROW]
[ROW][C]113[/C][C]1.26807e-06[/C][C]2.53614e-06[/C][C]0.999999[/C][/ROW]
[ROW][C]114[/C][C]1.38667e-06[/C][C]2.77335e-06[/C][C]0.999999[/C][/ROW]
[ROW][C]115[/C][C]1.60602e-06[/C][C]3.21205e-06[/C][C]0.999998[/C][/ROW]
[ROW][C]116[/C][C]1.39162e-06[/C][C]2.78324e-06[/C][C]0.999999[/C][/ROW]
[ROW][C]117[/C][C]1.59088e-06[/C][C]3.18176e-06[/C][C]0.999998[/C][/ROW]
[ROW][C]118[/C][C]1.10206e-06[/C][C]2.20413e-06[/C][C]0.999999[/C][/ROW]
[ROW][C]119[/C][C]7.59898e-07[/C][C]1.5198e-06[/C][C]0.999999[/C][/ROW]
[ROW][C]120[/C][C]1.44388e-06[/C][C]2.88776e-06[/C][C]0.999999[/C][/ROW]
[ROW][C]121[/C][C]4.67124e-06[/C][C]9.34247e-06[/C][C]0.999995[/C][/ROW]
[ROW][C]122[/C][C]1.03229e-05[/C][C]2.06458e-05[/C][C]0.99999[/C][/ROW]
[ROW][C]123[/C][C]6.83269e-06[/C][C]1.36654e-05[/C][C]0.999993[/C][/ROW]
[ROW][C]124[/C][C]4.97023e-06[/C][C]9.94045e-06[/C][C]0.999995[/C][/ROW]
[ROW][C]125[/C][C]3.83734e-06[/C][C]7.67469e-06[/C][C]0.999996[/C][/ROW]
[ROW][C]126[/C][C]5.43476e-06[/C][C]1.08695e-05[/C][C]0.999995[/C][/ROW]
[ROW][C]127[/C][C]1.05404e-05[/C][C]2.10809e-05[/C][C]0.999989[/C][/ROW]
[ROW][C]128[/C][C]0.000181318[/C][C]0.000362635[/C][C]0.999819[/C][/ROW]
[ROW][C]129[/C][C]0.000328731[/C][C]0.000657461[/C][C]0.999671[/C][/ROW]
[ROW][C]130[/C][C]0.00032942[/C][C]0.00065884[/C][C]0.999671[/C][/ROW]
[ROW][C]131[/C][C]0.000274486[/C][C]0.000548972[/C][C]0.999726[/C][/ROW]
[ROW][C]132[/C][C]0.000183796[/C][C]0.000367592[/C][C]0.999816[/C][/ROW]
[ROW][C]133[/C][C]0.000152565[/C][C]0.00030513[/C][C]0.999847[/C][/ROW]
[ROW][C]134[/C][C]0.000492361[/C][C]0.000984722[/C][C]0.999508[/C][/ROW]
[ROW][C]135[/C][C]0.000652928[/C][C]0.00130586[/C][C]0.999347[/C][/ROW]
[ROW][C]136[/C][C]0.00046553[/C][C]0.000931061[/C][C]0.999534[/C][/ROW]
[ROW][C]137[/C][C]0.000555043[/C][C]0.00111009[/C][C]0.999445[/C][/ROW]
[ROW][C]138[/C][C]0.000510186[/C][C]0.00102037[/C][C]0.99949[/C][/ROW]
[ROW][C]139[/C][C]0.000324689[/C][C]0.000649379[/C][C]0.999675[/C][/ROW]
[ROW][C]140[/C][C]0.000207914[/C][C]0.000415828[/C][C]0.999792[/C][/ROW]
[ROW][C]141[/C][C]0.000211177[/C][C]0.000422354[/C][C]0.999789[/C][/ROW]
[ROW][C]142[/C][C]0.000149602[/C][C]0.000299204[/C][C]0.99985[/C][/ROW]
[ROW][C]143[/C][C]0.000149353[/C][C]0.000298706[/C][C]0.999851[/C][/ROW]
[ROW][C]144[/C][C]0.000470318[/C][C]0.000940635[/C][C]0.99953[/C][/ROW]
[ROW][C]145[/C][C]0.00045973[/C][C]0.000919461[/C][C]0.99954[/C][/ROW]
[ROW][C]146[/C][C]0.000406078[/C][C]0.000812156[/C][C]0.999594[/C][/ROW]
[ROW][C]147[/C][C]0.000345622[/C][C]0.000691244[/C][C]0.999654[/C][/ROW]
[ROW][C]148[/C][C]0.00027451[/C][C]0.00054902[/C][C]0.999725[/C][/ROW]
[ROW][C]149[/C][C]0.000176392[/C][C]0.000352783[/C][C]0.999824[/C][/ROW]
[ROW][C]150[/C][C]0.000164869[/C][C]0.000329738[/C][C]0.999835[/C][/ROW]
[ROW][C]151[/C][C]9.67803e-05[/C][C]0.000193561[/C][C]0.999903[/C][/ROW]
[ROW][C]152[/C][C]0.00067965[/C][C]0.0013593[/C][C]0.99932[/C][/ROW]
[ROW][C]153[/C][C]0.000511057[/C][C]0.00102211[/C][C]0.999489[/C][/ROW]
[ROW][C]154[/C][C]0.000362237[/C][C]0.000724474[/C][C]0.999638[/C][/ROW]
[ROW][C]155[/C][C]0.000263215[/C][C]0.000526429[/C][C]0.999737[/C][/ROW]
[ROW][C]156[/C][C]0.000271598[/C][C]0.000543195[/C][C]0.999728[/C][/ROW]
[ROW][C]157[/C][C]0.000248637[/C][C]0.000497274[/C][C]0.999751[/C][/ROW]
[ROW][C]158[/C][C]0.000240882[/C][C]0.000481765[/C][C]0.999759[/C][/ROW]
[ROW][C]159[/C][C]0.000147707[/C][C]0.000295415[/C][C]0.999852[/C][/ROW]
[ROW][C]160[/C][C]0.000141854[/C][C]0.000283708[/C][C]0.999858[/C][/ROW]
[ROW][C]161[/C][C]0.000622814[/C][C]0.00124563[/C][C]0.999377[/C][/ROW]
[ROW][C]162[/C][C]0.00054238[/C][C]0.00108476[/C][C]0.999458[/C][/ROW]
[ROW][C]163[/C][C]0.000529872[/C][C]0.00105974[/C][C]0.99947[/C][/ROW]
[ROW][C]164[/C][C]0.125691[/C][C]0.251381[/C][C]0.874309[/C][/ROW]
[ROW][C]165[/C][C]0.329114[/C][C]0.658228[/C][C]0.670886[/C][/ROW]
[ROW][C]166[/C][C]0.28567[/C][C]0.571341[/C][C]0.71433[/C][/ROW]
[ROW][C]167[/C][C]0.265485[/C][C]0.530971[/C][C]0.734515[/C][/ROW]
[ROW][C]168[/C][C]0.199434[/C][C]0.398867[/C][C]0.800566[/C][/ROW]
[ROW][C]169[/C][C]0.255218[/C][C]0.510436[/C][C]0.744782[/C][/ROW]
[ROW][C]170[/C][C]0.223172[/C][C]0.446345[/C][C]0.776828[/C][/ROW]
[ROW][C]171[/C][C]0.786459[/C][C]0.427082[/C][C]0.213541[/C][/ROW]
[ROW][C]172[/C][C]0.866425[/C][C]0.26715[/C][C]0.133575[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=232187&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232187&T=5

As an alternative you can also use a QR Code:

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

Goldfeld-Quandt test for Heteroskedasticity
p-values	Alternative Hypothesis
breakpoint index	greater	2-sided	less
23	2.73957e-48	5.47913e-48	1
24	6.90507e-65	1.38101e-64	1
25	1.87082e-81	3.74164e-81	1
26	2.49543e-104	4.99086e-104	1
27	5.17981e-111	1.03596e-110	1
28	5.68538e-124	1.13708e-123	1
29	5.31694e-141	1.06339e-140	1
30	4.71827e-157	9.43655e-157	1
31	3.79993e-05	7.59986e-05	0.999962
32	1.14904e-05	2.29809e-05	0.999989
33	3.42147e-06	6.84295e-06	0.999997
34	9.5923e-07	1.91846e-06	0.999999
35	2.55572e-07	5.11143e-07	1
36	9.60775e-08	1.92155e-07	1
37	4.06466e-05	8.12931e-05	0.999959
38	5.0708e-05	0.000101416	0.999949
39	0.000971919	0.00194384	0.999028
40	0.00175896	0.00351793	0.998241
41	0.00311709	0.00623417	0.996883
42	0.00262488	0.00524976	0.997375
43	0.00147638	0.00295276	0.998524
44	0.00102343	0.00204686	0.998977
45	0.000653565	0.00130713	0.999346
46	0.000379441	0.000758883	0.999621
47	0.000272417	0.000544834	0.999728
48	0.000567082	0.00113416	0.999433
49	0.000540018	0.00108004	0.99946
50	0.000444011	0.000888022	0.999556
51	0.000300532	0.000601065	0.999699
52	0.000230971	0.000461941	0.999769
53	0.000180013	0.000360027	0.99982
54	0.000207582	0.000415164	0.999792
55	0.000173703	0.000347405	0.999826
56	0.000139476	0.000278952	0.999861
57	8.64433e-05	0.000172887	0.999914
58	6.7632e-05	0.000135264	0.999932
59	4.38016e-05	8.76032e-05	0.999956
60	2.74365e-05	5.48731e-05	0.999973
61	0.000336279	0.000672557	0.999664
62	0.000348741	0.000697481	0.999651
63	0.000424512	0.000849024	0.999575
64	0.000427311	0.000854621	0.999573
65	0.000274395	0.000548791	0.999726
66	0.000230974	0.000461949	0.999769
67	0.00015278	0.00030556	0.999847
68	9.88365e-05	0.000197673	0.999901
69	9.79202e-05	0.00019584	0.999902
70	7.69336e-05	0.000153867	0.999923
71	4.57046e-05	9.14093e-05	0.999954
72	3.13527e-05	6.27054e-05	0.999969
73	1.81742e-05	3.63483e-05	0.999982
74	5.38999e-05	0.0001078	0.999946
75	6.85188e-05	0.000137038	0.999931
76	4.96331e-05	9.92661e-05	0.99995
77	3.18618e-05	6.37235e-05	0.999968
78	2.49912e-05	4.99823e-05	0.999975
79	1.4627e-05	2.9254e-05	0.999985
80	1.08439e-05	2.16879e-05	0.999989
81	8.20208e-06	1.64042e-05	0.999992
82	4.72675e-06	9.45349e-06	0.999995
83	3.11238e-06	6.22476e-06	0.999997
84	2.03735e-06	4.0747e-06	0.999998
85	1.22853e-06	2.45706e-06	0.999999
86	1.59644e-06	3.19288e-06	0.999998
87	3.2911e-06	6.58221e-06	0.999997
88	1.9799e-06	3.95981e-06	0.999998
89	1.48741e-06	2.97481e-06	0.999999
90	2.66063e-06	5.32125e-06	0.999997
91	3.68841e-06	7.37681e-06	0.999996
92	4.85549e-06	9.71099e-06	0.999995
93	3.40973e-06	6.81945e-06	0.999997
94	2.89175e-06	5.7835e-06	0.999997
95	1.99973e-06	3.99946e-06	0.999998
96	1.3527e-06	2.70539e-06	0.999999
97	9.09721e-07	1.81944e-06	0.999999
98	5.23976e-07	1.04795e-06	0.999999
99	3.14876e-07	6.29752e-07	1
100	2.34998e-07	4.69996e-07	1
101	1.43424e-07	2.86848e-07	1
102	1.28829e-07	2.57658e-07	1
103	1.66596e-07	3.33191e-07	1
104	3.38582e-07	6.77165e-07	1
105	5.10738e-07	1.02148e-06	0.999999
106	1.0102e-06	2.0204e-06	0.999999
107	1.78272e-06	3.56545e-06	0.999998
108	1.25506e-06	2.51011e-06	0.999999
109	2.35223e-06	4.70446e-06	0.999998
110	1.7448e-06	3.4896e-06	0.999998
111	1.05971e-06	2.11941e-06	0.999999
112	2.11007e-06	4.22014e-06	0.999998
113	1.26807e-06	2.53614e-06	0.999999
114	1.38667e-06	2.77335e-06	0.999999
115	1.60602e-06	3.21205e-06	0.999998
116	1.39162e-06	2.78324e-06	0.999999
117	1.59088e-06	3.18176e-06	0.999998
118	1.10206e-06	2.20413e-06	0.999999
119	7.59898e-07	1.5198e-06	0.999999
120	1.44388e-06	2.88776e-06	0.999999
121	4.67124e-06	9.34247e-06	0.999995
122	1.03229e-05	2.06458e-05	0.99999
123	6.83269e-06	1.36654e-05	0.999993
124	4.97023e-06	9.94045e-06	0.999995
125	3.83734e-06	7.67469e-06	0.999996
126	5.43476e-06	1.08695e-05	0.999995
127	1.05404e-05	2.10809e-05	0.999989
128	0.000181318	0.000362635	0.999819
129	0.000328731	0.000657461	0.999671
130	0.00032942	0.00065884	0.999671
131	0.000274486	0.000548972	0.999726
132	0.000183796	0.000367592	0.999816
133	0.000152565	0.00030513	0.999847
134	0.000492361	0.000984722	0.999508
135	0.000652928	0.00130586	0.999347
136	0.00046553	0.000931061	0.999534
137	0.000555043	0.00111009	0.999445
138	0.000510186	0.00102037	0.99949
139	0.000324689	0.000649379	0.999675
140	0.000207914	0.000415828	0.999792
141	0.000211177	0.000422354	0.999789
142	0.000149602	0.000299204	0.99985
143	0.000149353	0.000298706	0.999851
144	0.000470318	0.000940635	0.99953
145	0.00045973	0.000919461	0.99954
146	0.000406078	0.000812156	0.999594
147	0.000345622	0.000691244	0.999654
148	0.00027451	0.00054902	0.999725
149	0.000176392	0.000352783	0.999824
150	0.000164869	0.000329738	0.999835
151	9.67803e-05	0.000193561	0.999903
152	0.00067965	0.0013593	0.99932
153	0.000511057	0.00102211	0.999489
154	0.000362237	0.000724474	0.999638
155	0.000263215	0.000526429	0.999737
156	0.000271598	0.000543195	0.999728
157	0.000248637	0.000497274	0.999751
158	0.000240882	0.000481765	0.999759
159	0.000147707	0.000295415	0.999852
160	0.000141854	0.000283708	0.999858
161	0.000622814	0.00124563	0.999377
162	0.00054238	0.00108476	0.999458
163	0.000529872	0.00105974	0.99947
164	0.125691	0.251381	0.874309
165	0.329114	0.658228	0.670886
166	0.28567	0.571341	0.71433
167	0.265485	0.530971	0.734515
168	0.199434	0.398867	0.800566
169	0.255218	0.510436	0.744782
170	0.223172	0.446345	0.776828
171	0.786459	0.427082	0.213541
172	0.866425	0.26715	0.133575

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description	# significant tests	% significant tests	OK/NOK
1% type I error level	141	0.94	NOK
5% type I error level	141	0.94	NOK
10% type I error level	141	0.94	NOK

\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 & 141 & 0.94 & NOK \tabularnewline
5% type I error level & 141 & 0.94 & NOK \tabularnewline
10% type I error level & 141 & 0.94 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232187&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]141[/C][C]0.94[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]141[/C][C]0.94[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]141[/C][C]0.94[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=232187&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232187&T=6

As an alternative you can also use a QR Code:

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

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description	# significant tests	% significant tests	OK/NOK
1% type I error level	141	0.94	NOK
5% type I error level	141	0.94	NOK
10% type I error level	141	0.94	NOK

Figure 1

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Figure 3

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Figure 4

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Figure 5

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Figure 6

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Figure 7

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Figure 8

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Figure 9

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Figure 10

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Parameters (Session):

Parameters (R input):

par1 = 1 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;

R code (references can be found in the software module):

library(lattice)
library(lmtest)
n25 <- 25 #minimum number of obs. for Goldfeld-Quandt test
par1 <- as.numeric(par1)
x <- 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'){
x2 <- array(0, dim=c(n-1,k), dimnames=list(1:(n-1), paste('(1-B)',colnames(x),sep='')))
for (i in 1:n-1) {
for (j in 1:k) {
x2[i,j] <- x[i+1,j] - x[i,j]
}
}
x <- x2
}
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[1,])
if (par3 == 'Linear Trend'){
x <- cbind(x, c(1:n))
colnames(x)[k+1] <- 't'
}
x
k <- length(x[1,])
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$coefficients)[i] != 't') myeq <- paste(myeq, '[t]', sep='')
}
}
myeq <- paste(myeq, ' + e[t]')
a<-table.row.start(a)
a<-table.element(a, myeq)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable1.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,hyperlink('ols1.htm','Multiple Linear Regression - Ordinary Least Squares',''), 6, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Variable',header=TRUE)
a<-table.element(a,'Parameter',header=TRUE)
a<-table.element(a,'S.D.',header=TRUE)
a<-table.element(a,'T-STAT
H0: parameter = 0',header=TRUE)
a<-table.element(a,'2-tail p-value',header=TRUE)
a<-table.element(a,'1-tail p-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:k){
a<-table.row.start(a)
a<-table.element(a,rownames(mysum$coefficients)[i],header=TRUE)
a<-table.element(a,signif(mysum$coefficients[i,1],6))
a<-table.element(a, signif(mysum$coefficients[i,2],6))
a<-table.element(a, signif(mysum$coefficients[i,3],4))
a<-table.element(a, signif(mysum$coefficients[i,4],6))
a<-table.element(a, signif(mysum$coefficients[i,4]/2,6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable2.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Regression Statistics', 2, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Multiple R',1,TRUE)
a<-table.element(a, signif(sqrt(mysum$r.squared),6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'R-squared',1,TRUE)
a<-table.element(a, signif(mysum$r.squared,6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Adjusted R-squared',1,TRUE)
a<-table.element(a, signif(mysum$adj.r.squared,6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (value)',1,TRUE)
a<-table.element(a, signif(mysum$fstatistic[1],6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (DF numerator)',1,TRUE)
a<-table.element(a, signif(mysum$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$fstatistic[3],6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'p-value',1,TRUE)
a<-table.element(a, signif(1-pf(mysum$fstatistic[1],mysum$fstatistic[2],mysum$fstatistic[3]),6))
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, signif(mysum$sigma,6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Sum Squared Residuals',1,TRUE)
a<-table.element(a, signif(sum(myerror*myerror),6))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable3.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Actuals, Interpolation, and Residuals', 4, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Time or Index', 1, TRUE)
a<-table.element(a, 'Actuals', 1, TRUE)
a<-table.element(a, 'Interpolation
Forecast', 1, TRUE)
a<-table.element(a, 'Residuals
Prediction Error', 1, TRUE)
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,i, 1, TRUE)
a<-table.element(a,signif(x[i],6))
a<-table.element(a,signif(x[i]-mysum$resid[i],6))
a<-table.element(a,signif(mysum$resid[i],6))
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,signif(gqarr[mypoint-kp3+1,1],6))
a<-table.element(a,signif(gqarr[mypoint-kp3+1,2],6))
a<-table.element(a,signif(gqarr[mypoint-kp3+1,3],6))
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,signif(numsignificant1/numgqtests,6))
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')
}

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code