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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationThu, 05 Dec 2013 18:19:20 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Dec/05/t1386286051e8iuxjxohhdf1uf.htm/, Retrieved Sat, 27 Apr 2024 02:26:52 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=231281, Retrieved Sat, 27 Apr 2024 02:26:52 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact80

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Multiple Regression] [] [2010-12-05 18:56:24] [b98453cac15ba1066b407e146608df68]
- R PD  [Multiple Regression] [ws10] [2013-12-05 23:00:07] [6e6101806504d86600f236fbba4f8aec]
-   P       [Multiple Regression] [ws10] [2013-12-05 23:19:20] [a17fd0651b2d0a0974784add16174701] [Current]
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Dataset

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

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time43 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 43 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=231281&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]43 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=231281&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=231281&T=0

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


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time43 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net






Multiple Linear Regression - Estimated Regression Equation
status[t] = + 2.22477143935332 -0.00238440712994794`MDVP:Fo(Hz)`[t] -0.000115229889187613`MDVP:Fhi(Hz)`[t] -0.00153509990349101`MDVP:Flo(Hz)`[t] -176.913214195889`MDVP:Jitter(%)`[t] -3321.63593627806`MDVP:Jitter(Abs)`[t] -759.214663723833`MDVP:RAP`[t] -36.1351357588716`MDVP:PPQ`[t] + 360.584308796295`Jitter:DDP`[t] + 27.4496020256438`MDVP:Shimmer`[t] + 0.571023028655679`MDVP:Shimmer(dB)`[t] -871.24017883868`Shimmer:APQ3`[t] -26.3958535998715`Shimmer:APQ5`[t] -3.07475960660651`MDVP:APQ`[t] + 283.747630878251`Shimmer:DDA`[t] -2.52562479335263NHR[t] -0.0156926417795812HNR[t] -1.01446224043442RPDE[t] + 0.355144612820959DFA[t] + 0.127298269666592spread1[t] + 1.26557784501791spread2[t] + 0.0494602327994658D2[t] + 1.26345906402202PPE[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
status[t] =  +  2.22477143935332 -0.00238440712994794`MDVP:Fo(Hz)`[t] -0.000115229889187613`MDVP:Fhi(Hz)`[t] -0.00153509990349101`MDVP:Flo(Hz)`[t] -176.913214195889`MDVP:Jitter(%)`[t] -3321.63593627806`MDVP:Jitter(Abs)`[t] -759.214663723833`MDVP:RAP`[t] -36.1351357588716`MDVP:PPQ`[t] +  360.584308796295`Jitter:DDP`[t] +  27.4496020256438`MDVP:Shimmer`[t] +  0.571023028655679`MDVP:Shimmer(dB)`[t] -871.24017883868`Shimmer:APQ3`[t] -26.3958535998715`Shimmer:APQ5`[t] -3.07475960660651`MDVP:APQ`[t] +  283.747630878251`Shimmer:DDA`[t] -2.52562479335263NHR[t] -0.0156926417795812HNR[t] -1.01446224043442RPDE[t] +  0.355144612820959DFA[t] +  0.127298269666592spread1[t] +  1.26557784501791spread2[t] +  0.0494602327994658D2[t] +  1.26345906402202PPE[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=231281&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]status[t] =  +  2.22477143935332 -0.00238440712994794`MDVP:Fo(Hz)`[t] -0.000115229889187613`MDVP:Fhi(Hz)`[t] -0.00153509990349101`MDVP:Flo(Hz)`[t] -176.913214195889`MDVP:Jitter(%)`[t] -3321.63593627806`MDVP:Jitter(Abs)`[t] -759.214663723833`MDVP:RAP`[t] -36.1351357588716`MDVP:PPQ`[t] +  360.584308796295`Jitter:DDP`[t] +  27.4496020256438`MDVP:Shimmer`[t] +  0.571023028655679`MDVP:Shimmer(dB)`[t] -871.24017883868`Shimmer:APQ3`[t] -26.3958535998715`Shimmer:APQ5`[t] -3.07475960660651`MDVP:APQ`[t] +  283.747630878251`Shimmer:DDA`[t] -2.52562479335263NHR[t] -0.0156926417795812HNR[t] -1.01446224043442RPDE[t] +  0.355144612820959DFA[t] +  0.127298269666592spread1[t] +  1.26557784501791spread2[t] +  0.0494602327994658D2[t] +  1.26345906402202PPE[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=231281&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=231281&T=1

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


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

Multiple Linear Regression - Estimated Regression Equation
status[t] = + 2.22477143935332 -0.00238440712994794`MDVP:Fo(Hz)`[t] -0.000115229889187613`MDVP:Fhi(Hz)`[t] -0.00153509990349101`MDVP:Flo(Hz)`[t] -176.913214195889`MDVP:Jitter(%)`[t] -3321.63593627806`MDVP:Jitter(Abs)`[t] -759.214663723833`MDVP:RAP`[t] -36.1351357588716`MDVP:PPQ`[t] + 360.584308796295`Jitter:DDP`[t] + 27.4496020256438`MDVP:Shimmer`[t] + 0.571023028655679`MDVP:Shimmer(dB)`[t] -871.24017883868`Shimmer:APQ3`[t] -26.3958535998715`Shimmer:APQ5`[t] -3.07475960660651`MDVP:APQ`[t] + 283.747630878251`Shimmer:DDA`[t] -2.52562479335263NHR[t] -0.0156926417795812HNR[t] -1.01446224043442RPDE[t] + 0.355144612820959DFA[t] + 0.127298269666592spread1[t] + 1.26557784501791spread2[t] + 0.0494602327994658D2[t] + 1.26345906402202PPE[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)2.224771439353321.1583811.92060.0564380.028219
`MDVP:Fo(Hz)`-0.002384407129947940.00151-1.5790.1161690.058085
`MDVP:Fhi(Hz)`-0.0001152298891876130.000321-0.35890.7201050.360053
`MDVP:Flo(Hz)`-0.001535099903491010.000802-1.91330.0573660.028683
`MDVP:Jitter(%)`-176.91321419588967.028672-2.63940.0090690.004535
`MDVP:Jitter(Abs)`-3321.635936278064625.652766-0.71810.4736760.236838
`MDVP:RAP`-759.2146637238339331.876927-0.08140.9352530.467626
`MDVP:PPQ`-36.135135758871688.383881-0.40880.6831630.341582
`Jitter:DDP`360.5843087962953111.4773080.11590.9078760.453938
`MDVP:Shimmer`27.449602025643834.2830460.80070.4244240.212212
`MDVP:Shimmer(dB)`0.5710230286556791.1993180.47610.6345910.317295
`Shimmer:APQ3`-871.240178838688972.169559-0.09710.9227560.461378
`Shimmer:APQ5`-26.395853599871520.122935-1.31170.1913590.09568
`MDVP:APQ`-3.0747596066065110.891073-0.28230.7780380.389019
`Shimmer:DDA`283.7476308782512989.9569620.09490.9245050.462252
NHR-2.525624793352631.980609-1.27520.2039670.101983
HNR-0.01569264177958120.014343-1.09410.2754440.137722
RPDE-1.014462240434420.439539-2.3080.0221890.011094
DFA0.3551446128209590.7393820.48030.6316060.315803
spread10.1272982696665920.0978981.30030.1952340.097617
spread21.265577845017910.4780052.64760.0088590.00443
D20.04946023279946580.1143240.43260.6658240.332912
PPE1.263459064022021.3833510.91330.3623460.181173

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Ordinary Least Squares \tabularnewline
Variable & Parameter & S.D. & T-STATH0: parameter = 0 & 2-tail p-value & 1-tail p-value \tabularnewline
(Intercept) & 2.22477143935332 & 1.158381 & 1.9206 & 0.056438 & 0.028219 \tabularnewline
`MDVP:Fo(Hz)` & -0.00238440712994794 & 0.00151 & -1.579 & 0.116169 & 0.058085 \tabularnewline
`MDVP:Fhi(Hz)` & -0.000115229889187613 & 0.000321 & -0.3589 & 0.720105 & 0.360053 \tabularnewline
`MDVP:Flo(Hz)` & -0.00153509990349101 & 0.000802 & -1.9133 & 0.057366 & 0.028683 \tabularnewline
`MDVP:Jitter(%)` & -176.913214195889 & 67.028672 & -2.6394 & 0.009069 & 0.004535 \tabularnewline
`MDVP:Jitter(Abs)` & -3321.63593627806 & 4625.652766 & -0.7181 & 0.473676 & 0.236838 \tabularnewline
`MDVP:RAP` & -759.214663723833 & 9331.876927 & -0.0814 & 0.935253 & 0.467626 \tabularnewline
`MDVP:PPQ` & -36.1351357588716 & 88.383881 & -0.4088 & 0.683163 & 0.341582 \tabularnewline
`Jitter:DDP` & 360.584308796295 & 3111.477308 & 0.1159 & 0.907876 & 0.453938 \tabularnewline
`MDVP:Shimmer` & 27.4496020256438 & 34.283046 & 0.8007 & 0.424424 & 0.212212 \tabularnewline
`MDVP:Shimmer(dB)` & 0.571023028655679 & 1.199318 & 0.4761 & 0.634591 & 0.317295 \tabularnewline
`Shimmer:APQ3` & -871.24017883868 & 8972.169559 & -0.0971 & 0.922756 & 0.461378 \tabularnewline
`Shimmer:APQ5` & -26.3958535998715 & 20.122935 & -1.3117 & 0.191359 & 0.09568 \tabularnewline
`MDVP:APQ` & -3.07475960660651 & 10.891073 & -0.2823 & 0.778038 & 0.389019 \tabularnewline
`Shimmer:DDA` & 283.747630878251 & 2989.956962 & 0.0949 & 0.924505 & 0.462252 \tabularnewline
NHR & -2.52562479335263 & 1.980609 & -1.2752 & 0.203967 & 0.101983 \tabularnewline
HNR & -0.0156926417795812 & 0.014343 & -1.0941 & 0.275444 & 0.137722 \tabularnewline
RPDE & -1.01446224043442 & 0.439539 & -2.308 & 0.022189 & 0.011094 \tabularnewline
DFA & 0.355144612820959 & 0.739382 & 0.4803 & 0.631606 & 0.315803 \tabularnewline
spread1 & 0.127298269666592 & 0.097898 & 1.3003 & 0.195234 & 0.097617 \tabularnewline
spread2 & 1.26557784501791 & 0.478005 & 2.6476 & 0.008859 & 0.00443 \tabularnewline
D2 & 0.0494602327994658 & 0.114324 & 0.4326 & 0.665824 & 0.332912 \tabularnewline
PPE & 1.26345906402202 & 1.383351 & 0.9133 & 0.362346 & 0.181173 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=231281&T=2

[TABLE]
[ROW][C]Multiple Linear Regression - Ordinary Least Squares[/C][/ROW]
[ROW][C]Variable[/C][C]Parameter[/C][C]S.D.[/C][C]T-STATH0: parameter = 0[/C][C]2-tail p-value[/C][C]1-tail p-value[/C][/ROW]
[ROW][C](Intercept)[/C][C]2.22477143935332[/C][C]1.158381[/C][C]1.9206[/C][C]0.056438[/C][C]0.028219[/C][/ROW]
[ROW][C]`MDVP:Fo(Hz)`[/C][C]-0.00238440712994794[/C][C]0.00151[/C][C]-1.579[/C][C]0.116169[/C][C]0.058085[/C][/ROW]
[ROW][C]`MDVP:Fhi(Hz)`[/C][C]-0.000115229889187613[/C][C]0.000321[/C][C]-0.3589[/C][C]0.720105[/C][C]0.360053[/C][/ROW]
[ROW][C]`MDVP:Flo(Hz)`[/C][C]-0.00153509990349101[/C][C]0.000802[/C][C]-1.9133[/C][C]0.057366[/C][C]0.028683[/C][/ROW]
[ROW][C]`MDVP:Jitter(%)`[/C][C]-176.913214195889[/C][C]67.028672[/C][C]-2.6394[/C][C]0.009069[/C][C]0.004535[/C][/ROW]
[ROW][C]`MDVP:Jitter(Abs)`[/C][C]-3321.63593627806[/C][C]4625.652766[/C][C]-0.7181[/C][C]0.473676[/C][C]0.236838[/C][/ROW]
[ROW][C]`MDVP:RAP`[/C][C]-759.214663723833[/C][C]9331.876927[/C][C]-0.0814[/C][C]0.935253[/C][C]0.467626[/C][/ROW]
[ROW][C]`MDVP:PPQ`[/C][C]-36.1351357588716[/C][C]88.383881[/C][C]-0.4088[/C][C]0.683163[/C][C]0.341582[/C][/ROW]
[ROW][C]`Jitter:DDP`[/C][C]360.584308796295[/C][C]3111.477308[/C][C]0.1159[/C][C]0.907876[/C][C]0.453938[/C][/ROW]
[ROW][C]`MDVP:Shimmer`[/C][C]27.4496020256438[/C][C]34.283046[/C][C]0.8007[/C][C]0.424424[/C][C]0.212212[/C][/ROW]
[ROW][C]`MDVP:Shimmer(dB)`[/C][C]0.571023028655679[/C][C]1.199318[/C][C]0.4761[/C][C]0.634591[/C][C]0.317295[/C][/ROW]
[ROW][C]`Shimmer:APQ3`[/C][C]-871.24017883868[/C][C]8972.169559[/C][C]-0.0971[/C][C]0.922756[/C][C]0.461378[/C][/ROW]
[ROW][C]`Shimmer:APQ5`[/C][C]-26.3958535998715[/C][C]20.122935[/C][C]-1.3117[/C][C]0.191359[/C][C]0.09568[/C][/ROW]
[ROW][C]`MDVP:APQ`[/C][C]-3.07475960660651[/C][C]10.891073[/C][C]-0.2823[/C][C]0.778038[/C][C]0.389019[/C][/ROW]
[ROW][C]`Shimmer:DDA`[/C][C]283.747630878251[/C][C]2989.956962[/C][C]0.0949[/C][C]0.924505[/C][C]0.462252[/C][/ROW]
[ROW][C]NHR[/C][C]-2.52562479335263[/C][C]1.980609[/C][C]-1.2752[/C][C]0.203967[/C][C]0.101983[/C][/ROW]
[ROW][C]HNR[/C][C]-0.0156926417795812[/C][C]0.014343[/C][C]-1.0941[/C][C]0.275444[/C][C]0.137722[/C][/ROW]
[ROW][C]RPDE[/C][C]-1.01446224043442[/C][C]0.439539[/C][C]-2.308[/C][C]0.022189[/C][C]0.011094[/C][/ROW]
[ROW][C]DFA[/C][C]0.355144612820959[/C][C]0.739382[/C][C]0.4803[/C][C]0.631606[/C][C]0.315803[/C][/ROW]
[ROW][C]spread1[/C][C]0.127298269666592[/C][C]0.097898[/C][C]1.3003[/C][C]0.195234[/C][C]0.097617[/C][/ROW]
[ROW][C]spread2[/C][C]1.26557784501791[/C][C]0.478005[/C][C]2.6476[/C][C]0.008859[/C][C]0.00443[/C][/ROW]
[ROW][C]D2[/C][C]0.0494602327994658[/C][C]0.114324[/C][C]0.4326[/C][C]0.665824[/C][C]0.332912[/C][/ROW]
[ROW][C]PPE[/C][C]1.26345906402202[/C][C]1.383351[/C][C]0.9133[/C][C]0.362346[/C][C]0.181173[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=231281&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=231281&T=2

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


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

Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)2.224771439353321.1583811.92060.0564380.028219
`MDVP:Fo(Hz)`-0.002384407129947940.00151-1.5790.1161690.058085
`MDVP:Fhi(Hz)`-0.0001152298891876130.000321-0.35890.7201050.360053
`MDVP:Flo(Hz)`-0.001535099903491010.000802-1.91330.0573660.028683
`MDVP:Jitter(%)`-176.91321419588967.028672-2.63940.0090690.004535
`MDVP:Jitter(Abs)`-3321.635936278064625.652766-0.71810.4736760.236838
`MDVP:RAP`-759.2146637238339331.876927-0.08140.9352530.467626
`MDVP:PPQ`-36.135135758871688.383881-0.40880.6831630.341582
`Jitter:DDP`360.5843087962953111.4773080.11590.9078760.453938
`MDVP:Shimmer`27.449602025643834.2830460.80070.4244240.212212
`MDVP:Shimmer(dB)`0.5710230286556791.1993180.47610.6345910.317295
`Shimmer:APQ3`-871.240178838688972.169559-0.09710.9227560.461378
`Shimmer:APQ5`-26.395853599871520.122935-1.31170.1913590.09568
`MDVP:APQ`-3.0747596066065110.891073-0.28230.7780380.389019
`Shimmer:DDA`283.7476308782512989.9569620.09490.9245050.462252
NHR-2.525624793352631.980609-1.27520.2039670.101983
HNR-0.01569264177958120.014343-1.09410.2754440.137722
RPDE-1.014462240434420.439539-2.3080.0221890.011094
DFA0.3551446128209590.7393820.48030.6316060.315803
spread10.1272982696665920.0978981.30030.1952340.097617
spread21.265577845017910.4780052.64760.0088590.00443
D20.04946023279946580.1143240.43260.6658240.332912
PPE1.263459064022021.3833510.91330.3623460.181173






Multiple Linear Regression - Regression Statistics
Multiple R0.701956924243648
R-squared0.492743523493602
Adjusted R-squared0.427861881149761
F-TEST (value)7.59449831559902
F-TEST (DF numerator)22
F-TEST (DF denominator)172
p-value4.44089209850063e-16
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.326671733600211
Sum Squared Residuals18.3548805037392

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.701956924243648 \tabularnewline
R-squared & 0.492743523493602 \tabularnewline
Adjusted R-squared & 0.427861881149761 \tabularnewline
F-TEST (value) & 7.59449831559902 \tabularnewline
F-TEST (DF numerator) & 22 \tabularnewline
F-TEST (DF denominator) & 172 \tabularnewline
p-value & 4.44089209850063e-16 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 0.326671733600211 \tabularnewline
Sum Squared Residuals & 18.3548805037392 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=231281&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.701956924243648[/C][/ROW]
[ROW][C]R-squared[/C][C]0.492743523493602[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.427861881149761[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]7.59449831559902[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]22[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]172[/C][/ROW]
[ROW][C]p-value[/C][C]4.44089209850063e-16[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]0.326671733600211[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]18.3548805037392[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=231281&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=231281&T=3

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


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

Multiple Linear Regression - Regression Statistics
Multiple R0.701956924243648
R-squared0.492743523493602
Adjusted R-squared0.427861881149761
F-TEST (value)7.59449831559902
F-TEST (DF numerator)22
F-TEST (DF denominator)172
p-value4.44089209850063e-16
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.326671733600211
Sum Squared Residuals18.3548805037392






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
110.9435718734087540.0564281265912455
211.07058717103072-0.0705871710307231
310.9726108267779140.0273891732220857
411.07778264716755-0.0777826471675544
510.8710336800196860.128966319980314
610.9494552098230560.0505447901769438
710.7934059595406050.206594040459395
810.5806747033035140.419325296696486
910.9746026062470560.0253973937529436
1011.15090997127307-0.150909971273073
1111.11159903687375-0.111599036873746
1211.23810566911362-0.238105669113624
1310.4568822583271740.543117741672826
1410.8801516237018580.119848376298142
1510.7048458706691740.295154129330826
1610.7027107432536540.297289256746346
1710.5444417507558150.455558249244185
1811.32291525306483-0.322915253064833
1911.29341211466237-0.293412114662373
2010.9660637905679130.0339362094320865
2111.06594590122215-0.0659459012221548
2210.8904739780356030.109526021964397
2311.10343211303229-0.10343211303229
2410.8657710469210140.134228953078986
2510.8203585587849280.179641441215072
2610.9174088820383940.0825911179616064
2710.8040186175728630.195981382427137
2810.7958999334865740.204100066513426
2910.6613956322612950.338604367738705
3010.6993240476614450.300675952338555
3100.296327010991969-0.296327010991969
3200.159358654160876-0.159358654160876
3300.192351326079387-0.192351326079387
3400.12808618234784-0.12808618234784
3500.0881745262934908-0.0881745262934908
3600.203627719574811-0.203627719574811
3710.8106942409724730.189305759027527
3810.8234624769552710.176537523044729
3910.5960432570564540.403956742943546
4010.7530913878418260.246908612158173
4110.6125963608212850.387403639178715
4210.4365019433929290.563498056607071
4300.244620632158114-0.244620632158114
4400.204235196326393-0.204235196326393
4500.0134396038023798-0.0134396038023798
4600.0888886766486158-0.0888886766486158
4700.0510556030894473-0.0510556030894473
480-0.04546858043877520.0454685804387752
4900.337462712225397-0.337462712225397
5000.429478766829427-0.429478766829427
5100.410612362762125-0.410612362762125
5200.425915830652945-0.425915830652945
5300.411523199637314-0.411523199637314
5400.548471650784556-0.548471650784556
5510.8271241484254650.172875851574535
5610.7915551156995350.208444884300465
5710.8674144167179810.132585583282019
5810.759890157613460.24010984238654
5910.7792799258533290.220720074146671
6010.6508116279900980.349188372009902
6100.369771112322982-0.369771112322982
6200.274652373908646-0.274652373908646
6300.264475566136834-0.264475566136834
6400.213606607781165-0.213606607781165
6500.128335751181459-0.128335751181459
6600.282275551186785-0.282275551186785
6710.9147799877212220.0852200122787783
6810.8891042754856910.110895724514309
6910.9222496036494030.0777503963505966
7010.9423692365942380.0576307634057618
7110.8508477885245860.149152211475414
7211.0929952918871-0.0929952918870988
7310.8872187846683050.112781215331695
7410.9229351449434990.0770648550565014
7511.04226826538868-0.0422682653886783
7611.07861400319026-0.0786140031902648
7711.09857685229162-0.0985768522916173
7811.00048324976104-0.000483249761042984
7910.9611324452121160.0388675547878843
8011.14127485384233-0.141274853842329
8111.18014399237233-0.180143992372332
8211.13521958160355-0.135219581603553
8311.01365070163879-0.013650701638785
8410.6959874246383280.304012575361672
8511.08754001460853-0.087540014608529
8610.87146909617140.1285309038286
8710.7031312119911820.296868788008818
8810.9446409293460630.0553590706539372
8910.9903406644593150.00965933554068479
9011.22524955005452-0.225249550054523
9111.1444663950855-0.144466395085502
9210.797470526454730.20252947354527
9310.7336715483684730.266328451631527
9410.8532556698728450.146744330127155
9510.7885594193173760.211440580682624
9610.7576724209395260.242327579060474
9710.8030065717125770.196993428287423
9811.0269041154346-0.0269041154346012
9910.7997394334535070.200260566546493
10010.8970693444887650.102930655511235
10110.9638528318913140.0361471681086858
10210.9738048101163390.0261951898836607
10310.988916957341340.0110830426586603
10410.5857752013516250.414224798648375
10510.5806649542420270.419335045757973
10610.567263563046780.43273643695322
10710.5352890742110380.464710925788962
10810.6901040648530770.309895935146924
10910.6173619634117980.382638036588202
11010.8984214987322170.101578501267783
11111.0349901184112-0.0349901184111954
11210.5899886279776320.410011372022368
11310.8016312013472410.198368798652759
11410.6988705648673870.301129435132613
11510.8022246292317830.197775370768217
11610.8850942747063660.114905725293634
11710.7288938838372510.27110611616275
11811.05185696669058-0.0518569666905822
11910.8860641429941930.113935857005807
12010.7616014155280290.238398584471971
12110.5515303916325110.448469608367489
12210.9736331673701030.0263668326298969
12310.9728485150083680.0271514849916321
12410.7106013188827980.289398681117202
12510.6182100734035840.381789926596416
12610.6246209435260420.375379056473958
12710.612638660859330.38736133914067
12810.6275852294007330.372414770599267
12910.4149321424742850.585067857525715
13010.7652485846499550.234751415350045
13110.8031166502005360.196883349799464
13210.8749579223832540.125042077616746
13311.05331673623118-0.0533167362311823
13410.6470403471849010.352959652815099
13510.9632824438501310.0367175561498689
13610.9615153089249350.0384846910750653
13711.14636887294033-0.146368872940327
13811.15062769860524-0.15062769860524
13910.9597534674375810.040246532562419
14010.7814803318555620.218519668144438
14110.9100848856129180.0899151143870816
14210.8582984649844770.141701535015523
14310.7289952083328650.271004791667135
14410.6828258751095540.317174124890446
14510.5493933556784930.450606644321507
14610.8602332189749980.139766781025002
14711.35151421933769-0.351514219337688
14811.15228548184188-0.152285481841883
14911.24477425379632-0.244774253796318
15010.8937015472474590.106298452752541
15110.9342530128991240.0657469871008764
15210.9559316520050620.0440683479949375
15310.9590796158421620.0409203841578378
15410.8454058263449790.154594173655021
15510.8944386627332530.105561337266747
15610.9948173485139630.00518265148603696
15710.7986839904714820.201316009528518
15811.26869818106497-0.268698181064971
15910.9707474465270510.0292525534729493
16010.8619000861049380.138099913895062
16111.12813217906433-0.128132179064332
16211.05871249041533-0.0587124904153301
16310.9308252003246240.0691747996753759
16410.7941758002445840.205824199755416
16511.38244252671673-0.382442526716726
16600.450211565983269-0.450211565983269
16700.22519056756442-0.22519056756442
16800.0938475183626551-0.0938475183626551
16900.941842611431521-0.941842611431521
17000.230278004666855-0.230278004666855
17100.114576202941095-0.114576202941095
17200.799340584293414-0.799340584293414
17300.835874394769199-0.835874394769199
17400.878333846628463-0.878333846628463
17500.866010122557376-0.866010122557376
17600.834630864891687-0.834630864891687
17700.776848813656463-0.776848813656463
17810.6443399703961990.355660029603801
17910.7122326898771370.287767310122863
18010.9343238683773820.0656761316226184
18110.7639785089797270.236021491020273
18210.8724260646415650.127573935358435
18310.719193387078230.28080661292177
18400.60438623696893-0.60438623696893
18500.648463086262516-0.648463086262516
18600.60678380361083-0.60678380361083
18700.423249394950891-0.423249394950891
18800.475361520617544-0.475361520617544
18900.435996765718119-0.435996765718119
19000.42827745741773-0.42827745741773
19100.651128801100373-0.651128801100373
19200.700978384060251-0.700978384060251
1930-0.1745042657205790.174504265720579
19400.267080828848547-0.267080828848547
19500.519415355713432-0.519415355713432

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 1 & 0.943571873408754 & 0.0564281265912455 \tabularnewline
2 & 1 & 1.07058717103072 & -0.0705871710307231 \tabularnewline
3 & 1 & 0.972610826777914 & 0.0273891732220857 \tabularnewline
4 & 1 & 1.07778264716755 & -0.0777826471675544 \tabularnewline
5 & 1 & 0.871033680019686 & 0.128966319980314 \tabularnewline
6 & 1 & 0.949455209823056 & 0.0505447901769438 \tabularnewline
7 & 1 & 0.793405959540605 & 0.206594040459395 \tabularnewline
8 & 1 & 0.580674703303514 & 0.419325296696486 \tabularnewline
9 & 1 & 0.974602606247056 & 0.0253973937529436 \tabularnewline
10 & 1 & 1.15090997127307 & -0.150909971273073 \tabularnewline
11 & 1 & 1.11159903687375 & -0.111599036873746 \tabularnewline
12 & 1 & 1.23810566911362 & -0.238105669113624 \tabularnewline
13 & 1 & 0.456882258327174 & 0.543117741672826 \tabularnewline
14 & 1 & 0.880151623701858 & 0.119848376298142 \tabularnewline
15 & 1 & 0.704845870669174 & 0.295154129330826 \tabularnewline
16 & 1 & 0.702710743253654 & 0.297289256746346 \tabularnewline
17 & 1 & 0.544441750755815 & 0.455558249244185 \tabularnewline
18 & 1 & 1.32291525306483 & -0.322915253064833 \tabularnewline
19 & 1 & 1.29341211466237 & -0.293412114662373 \tabularnewline
20 & 1 & 0.966063790567913 & 0.0339362094320865 \tabularnewline
21 & 1 & 1.06594590122215 & -0.0659459012221548 \tabularnewline
22 & 1 & 0.890473978035603 & 0.109526021964397 \tabularnewline
23 & 1 & 1.10343211303229 & -0.10343211303229 \tabularnewline
24 & 1 & 0.865771046921014 & 0.134228953078986 \tabularnewline
25 & 1 & 0.820358558784928 & 0.179641441215072 \tabularnewline
26 & 1 & 0.917408882038394 & 0.0825911179616064 \tabularnewline
27 & 1 & 0.804018617572863 & 0.195981382427137 \tabularnewline
28 & 1 & 0.795899933486574 & 0.204100066513426 \tabularnewline
29 & 1 & 0.661395632261295 & 0.338604367738705 \tabularnewline
30 & 1 & 0.699324047661445 & 0.300675952338555 \tabularnewline
31 & 0 & 0.296327010991969 & -0.296327010991969 \tabularnewline
32 & 0 & 0.159358654160876 & -0.159358654160876 \tabularnewline
33 & 0 & 0.192351326079387 & -0.192351326079387 \tabularnewline
34 & 0 & 0.12808618234784 & -0.12808618234784 \tabularnewline
35 & 0 & 0.0881745262934908 & -0.0881745262934908 \tabularnewline
36 & 0 & 0.203627719574811 & -0.203627719574811 \tabularnewline
37 & 1 & 0.810694240972473 & 0.189305759027527 \tabularnewline
38 & 1 & 0.823462476955271 & 0.176537523044729 \tabularnewline
39 & 1 & 0.596043257056454 & 0.403956742943546 \tabularnewline
40 & 1 & 0.753091387841826 & 0.246908612158173 \tabularnewline
41 & 1 & 0.612596360821285 & 0.387403639178715 \tabularnewline
42 & 1 & 0.436501943392929 & 0.563498056607071 \tabularnewline
43 & 0 & 0.244620632158114 & -0.244620632158114 \tabularnewline
44 & 0 & 0.204235196326393 & -0.204235196326393 \tabularnewline
45 & 0 & 0.0134396038023798 & -0.0134396038023798 \tabularnewline
46 & 0 & 0.0888886766486158 & -0.0888886766486158 \tabularnewline
47 & 0 & 0.0510556030894473 & -0.0510556030894473 \tabularnewline
48 & 0 & -0.0454685804387752 & 0.0454685804387752 \tabularnewline
49 & 0 & 0.337462712225397 & -0.337462712225397 \tabularnewline
50 & 0 & 0.429478766829427 & -0.429478766829427 \tabularnewline
51 & 0 & 0.410612362762125 & -0.410612362762125 \tabularnewline
52 & 0 & 0.425915830652945 & -0.425915830652945 \tabularnewline
53 & 0 & 0.411523199637314 & -0.411523199637314 \tabularnewline
54 & 0 & 0.548471650784556 & -0.548471650784556 \tabularnewline
55 & 1 & 0.827124148425465 & 0.172875851574535 \tabularnewline
56 & 1 & 0.791555115699535 & 0.208444884300465 \tabularnewline
57 & 1 & 0.867414416717981 & 0.132585583282019 \tabularnewline
58 & 1 & 0.75989015761346 & 0.24010984238654 \tabularnewline
59 & 1 & 0.779279925853329 & 0.220720074146671 \tabularnewline
60 & 1 & 0.650811627990098 & 0.349188372009902 \tabularnewline
61 & 0 & 0.369771112322982 & -0.369771112322982 \tabularnewline
62 & 0 & 0.274652373908646 & -0.274652373908646 \tabularnewline
63 & 0 & 0.264475566136834 & -0.264475566136834 \tabularnewline
64 & 0 & 0.213606607781165 & -0.213606607781165 \tabularnewline
65 & 0 & 0.128335751181459 & -0.128335751181459 \tabularnewline
66 & 0 & 0.282275551186785 & -0.282275551186785 \tabularnewline
67 & 1 & 0.914779987721222 & 0.0852200122787783 \tabularnewline
68 & 1 & 0.889104275485691 & 0.110895724514309 \tabularnewline
69 & 1 & 0.922249603649403 & 0.0777503963505966 \tabularnewline
70 & 1 & 0.942369236594238 & 0.0576307634057618 \tabularnewline
71 & 1 & 0.850847788524586 & 0.149152211475414 \tabularnewline
72 & 1 & 1.0929952918871 & -0.0929952918870988 \tabularnewline
73 & 1 & 0.887218784668305 & 0.112781215331695 \tabularnewline
74 & 1 & 0.922935144943499 & 0.0770648550565014 \tabularnewline
75 & 1 & 1.04226826538868 & -0.0422682653886783 \tabularnewline
76 & 1 & 1.07861400319026 & -0.0786140031902648 \tabularnewline
77 & 1 & 1.09857685229162 & -0.0985768522916173 \tabularnewline
78 & 1 & 1.00048324976104 & -0.000483249761042984 \tabularnewline
79 & 1 & 0.961132445212116 & 0.0388675547878843 \tabularnewline
80 & 1 & 1.14127485384233 & -0.141274853842329 \tabularnewline
81 & 1 & 1.18014399237233 & -0.180143992372332 \tabularnewline
82 & 1 & 1.13521958160355 & -0.135219581603553 \tabularnewline
83 & 1 & 1.01365070163879 & -0.013650701638785 \tabularnewline
84 & 1 & 0.695987424638328 & 0.304012575361672 \tabularnewline
85 & 1 & 1.08754001460853 & -0.087540014608529 \tabularnewline
86 & 1 & 0.8714690961714 & 0.1285309038286 \tabularnewline
87 & 1 & 0.703131211991182 & 0.296868788008818 \tabularnewline
88 & 1 & 0.944640929346063 & 0.0553590706539372 \tabularnewline
89 & 1 & 0.990340664459315 & 0.00965933554068479 \tabularnewline
90 & 1 & 1.22524955005452 & -0.225249550054523 \tabularnewline
91 & 1 & 1.1444663950855 & -0.144466395085502 \tabularnewline
92 & 1 & 0.79747052645473 & 0.20252947354527 \tabularnewline
93 & 1 & 0.733671548368473 & 0.266328451631527 \tabularnewline
94 & 1 & 0.853255669872845 & 0.146744330127155 \tabularnewline
95 & 1 & 0.788559419317376 & 0.211440580682624 \tabularnewline
96 & 1 & 0.757672420939526 & 0.242327579060474 \tabularnewline
97 & 1 & 0.803006571712577 & 0.196993428287423 \tabularnewline
98 & 1 & 1.0269041154346 & -0.0269041154346012 \tabularnewline
99 & 1 & 0.799739433453507 & 0.200260566546493 \tabularnewline
100 & 1 & 0.897069344488765 & 0.102930655511235 \tabularnewline
101 & 1 & 0.963852831891314 & 0.0361471681086858 \tabularnewline
102 & 1 & 0.973804810116339 & 0.0261951898836607 \tabularnewline
103 & 1 & 0.98891695734134 & 0.0110830426586603 \tabularnewline
104 & 1 & 0.585775201351625 & 0.414224798648375 \tabularnewline
105 & 1 & 0.580664954242027 & 0.419335045757973 \tabularnewline
106 & 1 & 0.56726356304678 & 0.43273643695322 \tabularnewline
107 & 1 & 0.535289074211038 & 0.464710925788962 \tabularnewline
108 & 1 & 0.690104064853077 & 0.309895935146924 \tabularnewline
109 & 1 & 0.617361963411798 & 0.382638036588202 \tabularnewline
110 & 1 & 0.898421498732217 & 0.101578501267783 \tabularnewline
111 & 1 & 1.0349901184112 & -0.0349901184111954 \tabularnewline
112 & 1 & 0.589988627977632 & 0.410011372022368 \tabularnewline
113 & 1 & 0.801631201347241 & 0.198368798652759 \tabularnewline
114 & 1 & 0.698870564867387 & 0.301129435132613 \tabularnewline
115 & 1 & 0.802224629231783 & 0.197775370768217 \tabularnewline
116 & 1 & 0.885094274706366 & 0.114905725293634 \tabularnewline
117 & 1 & 0.728893883837251 & 0.27110611616275 \tabularnewline
118 & 1 & 1.05185696669058 & -0.0518569666905822 \tabularnewline
119 & 1 & 0.886064142994193 & 0.113935857005807 \tabularnewline
120 & 1 & 0.761601415528029 & 0.238398584471971 \tabularnewline
121 & 1 & 0.551530391632511 & 0.448469608367489 \tabularnewline
122 & 1 & 0.973633167370103 & 0.0263668326298969 \tabularnewline
123 & 1 & 0.972848515008368 & 0.0271514849916321 \tabularnewline
124 & 1 & 0.710601318882798 & 0.289398681117202 \tabularnewline
125 & 1 & 0.618210073403584 & 0.381789926596416 \tabularnewline
126 & 1 & 0.624620943526042 & 0.375379056473958 \tabularnewline
127 & 1 & 0.61263866085933 & 0.38736133914067 \tabularnewline
128 & 1 & 0.627585229400733 & 0.372414770599267 \tabularnewline
129 & 1 & 0.414932142474285 & 0.585067857525715 \tabularnewline
130 & 1 & 0.765248584649955 & 0.234751415350045 \tabularnewline
131 & 1 & 0.803116650200536 & 0.196883349799464 \tabularnewline
132 & 1 & 0.874957922383254 & 0.125042077616746 \tabularnewline
133 & 1 & 1.05331673623118 & -0.0533167362311823 \tabularnewline
134 & 1 & 0.647040347184901 & 0.352959652815099 \tabularnewline
135 & 1 & 0.963282443850131 & 0.0367175561498689 \tabularnewline
136 & 1 & 0.961515308924935 & 0.0384846910750653 \tabularnewline
137 & 1 & 1.14636887294033 & -0.146368872940327 \tabularnewline
138 & 1 & 1.15062769860524 & -0.15062769860524 \tabularnewline
139 & 1 & 0.959753467437581 & 0.040246532562419 \tabularnewline
140 & 1 & 0.781480331855562 & 0.218519668144438 \tabularnewline
141 & 1 & 0.910084885612918 & 0.0899151143870816 \tabularnewline
142 & 1 & 0.858298464984477 & 0.141701535015523 \tabularnewline
143 & 1 & 0.728995208332865 & 0.271004791667135 \tabularnewline
144 & 1 & 0.682825875109554 & 0.317174124890446 \tabularnewline
145 & 1 & 0.549393355678493 & 0.450606644321507 \tabularnewline
146 & 1 & 0.860233218974998 & 0.139766781025002 \tabularnewline
147 & 1 & 1.35151421933769 & -0.351514219337688 \tabularnewline
148 & 1 & 1.15228548184188 & -0.152285481841883 \tabularnewline
149 & 1 & 1.24477425379632 & -0.244774253796318 \tabularnewline
150 & 1 & 0.893701547247459 & 0.106298452752541 \tabularnewline
151 & 1 & 0.934253012899124 & 0.0657469871008764 \tabularnewline
152 & 1 & 0.955931652005062 & 0.0440683479949375 \tabularnewline
153 & 1 & 0.959079615842162 & 0.0409203841578378 \tabularnewline
154 & 1 & 0.845405826344979 & 0.154594173655021 \tabularnewline
155 & 1 & 0.894438662733253 & 0.105561337266747 \tabularnewline
156 & 1 & 0.994817348513963 & 0.00518265148603696 \tabularnewline
157 & 1 & 0.798683990471482 & 0.201316009528518 \tabularnewline
158 & 1 & 1.26869818106497 & -0.268698181064971 \tabularnewline
159 & 1 & 0.970747446527051 & 0.0292525534729493 \tabularnewline
160 & 1 & 0.861900086104938 & 0.138099913895062 \tabularnewline
161 & 1 & 1.12813217906433 & -0.128132179064332 \tabularnewline
162 & 1 & 1.05871249041533 & -0.0587124904153301 \tabularnewline
163 & 1 & 0.930825200324624 & 0.0691747996753759 \tabularnewline
164 & 1 & 0.794175800244584 & 0.205824199755416 \tabularnewline
165 & 1 & 1.38244252671673 & -0.382442526716726 \tabularnewline
166 & 0 & 0.450211565983269 & -0.450211565983269 \tabularnewline
167 & 0 & 0.22519056756442 & -0.22519056756442 \tabularnewline
168 & 0 & 0.0938475183626551 & -0.0938475183626551 \tabularnewline
169 & 0 & 0.941842611431521 & -0.941842611431521 \tabularnewline
170 & 0 & 0.230278004666855 & -0.230278004666855 \tabularnewline
171 & 0 & 0.114576202941095 & -0.114576202941095 \tabularnewline
172 & 0 & 0.799340584293414 & -0.799340584293414 \tabularnewline
173 & 0 & 0.835874394769199 & -0.835874394769199 \tabularnewline
174 & 0 & 0.878333846628463 & -0.878333846628463 \tabularnewline
175 & 0 & 0.866010122557376 & -0.866010122557376 \tabularnewline
176 & 0 & 0.834630864891687 & -0.834630864891687 \tabularnewline
177 & 0 & 0.776848813656463 & -0.776848813656463 \tabularnewline
178 & 1 & 0.644339970396199 & 0.355660029603801 \tabularnewline
179 & 1 & 0.712232689877137 & 0.287767310122863 \tabularnewline
180 & 1 & 0.934323868377382 & 0.0656761316226184 \tabularnewline
181 & 1 & 0.763978508979727 & 0.236021491020273 \tabularnewline
182 & 1 & 0.872426064641565 & 0.127573935358435 \tabularnewline
183 & 1 & 0.71919338707823 & 0.28080661292177 \tabularnewline
184 & 0 & 0.60438623696893 & -0.60438623696893 \tabularnewline
185 & 0 & 0.648463086262516 & -0.648463086262516 \tabularnewline
186 & 0 & 0.60678380361083 & -0.60678380361083 \tabularnewline
187 & 0 & 0.423249394950891 & -0.423249394950891 \tabularnewline
188 & 0 & 0.475361520617544 & -0.475361520617544 \tabularnewline
189 & 0 & 0.435996765718119 & -0.435996765718119 \tabularnewline
190 & 0 & 0.42827745741773 & -0.42827745741773 \tabularnewline
191 & 0 & 0.651128801100373 & -0.651128801100373 \tabularnewline
192 & 0 & 0.700978384060251 & -0.700978384060251 \tabularnewline
193 & 0 & -0.174504265720579 & 0.174504265720579 \tabularnewline
194 & 0 & 0.267080828848547 & -0.267080828848547 \tabularnewline
195 & 0 & 0.519415355713432 & -0.519415355713432 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=231281&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]0.943571873408754[/C][C]0.0564281265912455[/C][/ROW]
[ROW][C]2[/C][C]1[/C][C]1.07058717103072[/C][C]-0.0705871710307231[/C][/ROW]
[ROW][C]3[/C][C]1[/C][C]0.972610826777914[/C][C]0.0273891732220857[/C][/ROW]
[ROW][C]4[/C][C]1[/C][C]1.07778264716755[/C][C]-0.0777826471675544[/C][/ROW]
[ROW][C]5[/C][C]1[/C][C]0.871033680019686[/C][C]0.128966319980314[/C][/ROW]
[ROW][C]6[/C][C]1[/C][C]0.949455209823056[/C][C]0.0505447901769438[/C][/ROW]
[ROW][C]7[/C][C]1[/C][C]0.793405959540605[/C][C]0.206594040459395[/C][/ROW]
[ROW][C]8[/C][C]1[/C][C]0.580674703303514[/C][C]0.419325296696486[/C][/ROW]
[ROW][C]9[/C][C]1[/C][C]0.974602606247056[/C][C]0.0253973937529436[/C][/ROW]
[ROW][C]10[/C][C]1[/C][C]1.15090997127307[/C][C]-0.150909971273073[/C][/ROW]
[ROW][C]11[/C][C]1[/C][C]1.11159903687375[/C][C]-0.111599036873746[/C][/ROW]
[ROW][C]12[/C][C]1[/C][C]1.23810566911362[/C][C]-0.238105669113624[/C][/ROW]
[ROW][C]13[/C][C]1[/C][C]0.456882258327174[/C][C]0.543117741672826[/C][/ROW]
[ROW][C]14[/C][C]1[/C][C]0.880151623701858[/C][C]0.119848376298142[/C][/ROW]
[ROW][C]15[/C][C]1[/C][C]0.704845870669174[/C][C]0.295154129330826[/C][/ROW]
[ROW][C]16[/C][C]1[/C][C]0.702710743253654[/C][C]0.297289256746346[/C][/ROW]
[ROW][C]17[/C][C]1[/C][C]0.544441750755815[/C][C]0.455558249244185[/C][/ROW]
[ROW][C]18[/C][C]1[/C][C]1.32291525306483[/C][C]-0.322915253064833[/C][/ROW]
[ROW][C]19[/C][C]1[/C][C]1.29341211466237[/C][C]-0.293412114662373[/C][/ROW]
[ROW][C]20[/C][C]1[/C][C]0.966063790567913[/C][C]0.0339362094320865[/C][/ROW]
[ROW][C]21[/C][C]1[/C][C]1.06594590122215[/C][C]-0.0659459012221548[/C][/ROW]
[ROW][C]22[/C][C]1[/C][C]0.890473978035603[/C][C]0.109526021964397[/C][/ROW]
[ROW][C]23[/C][C]1[/C][C]1.10343211303229[/C][C]-0.10343211303229[/C][/ROW]
[ROW][C]24[/C][C]1[/C][C]0.865771046921014[/C][C]0.134228953078986[/C][/ROW]
[ROW][C]25[/C][C]1[/C][C]0.820358558784928[/C][C]0.179641441215072[/C][/ROW]
[ROW][C]26[/C][C]1[/C][C]0.917408882038394[/C][C]0.0825911179616064[/C][/ROW]
[ROW][C]27[/C][C]1[/C][C]0.804018617572863[/C][C]0.195981382427137[/C][/ROW]
[ROW][C]28[/C][C]1[/C][C]0.795899933486574[/C][C]0.204100066513426[/C][/ROW]
[ROW][C]29[/C][C]1[/C][C]0.661395632261295[/C][C]0.338604367738705[/C][/ROW]
[ROW][C]30[/C][C]1[/C][C]0.699324047661445[/C][C]0.300675952338555[/C][/ROW]
[ROW][C]31[/C][C]0[/C][C]0.296327010991969[/C][C]-0.296327010991969[/C][/ROW]
[ROW][C]32[/C][C]0[/C][C]0.159358654160876[/C][C]-0.159358654160876[/C][/ROW]
[ROW][C]33[/C][C]0[/C][C]0.192351326079387[/C][C]-0.192351326079387[/C][/ROW]
[ROW][C]34[/C][C]0[/C][C]0.12808618234784[/C][C]-0.12808618234784[/C][/ROW]
[ROW][C]35[/C][C]0[/C][C]0.0881745262934908[/C][C]-0.0881745262934908[/C][/ROW]
[ROW][C]36[/C][C]0[/C][C]0.203627719574811[/C][C]-0.203627719574811[/C][/ROW]
[ROW][C]37[/C][C]1[/C][C]0.810694240972473[/C][C]0.189305759027527[/C][/ROW]
[ROW][C]38[/C][C]1[/C][C]0.823462476955271[/C][C]0.176537523044729[/C][/ROW]
[ROW][C]39[/C][C]1[/C][C]0.596043257056454[/C][C]0.403956742943546[/C][/ROW]
[ROW][C]40[/C][C]1[/C][C]0.753091387841826[/C][C]0.246908612158173[/C][/ROW]
[ROW][C]41[/C][C]1[/C][C]0.612596360821285[/C][C]0.387403639178715[/C][/ROW]
[ROW][C]42[/C][C]1[/C][C]0.436501943392929[/C][C]0.563498056607071[/C][/ROW]
[ROW][C]43[/C][C]0[/C][C]0.244620632158114[/C][C]-0.244620632158114[/C][/ROW]
[ROW][C]44[/C][C]0[/C][C]0.204235196326393[/C][C]-0.204235196326393[/C][/ROW]
[ROW][C]45[/C][C]0[/C][C]0.0134396038023798[/C][C]-0.0134396038023798[/C][/ROW]
[ROW][C]46[/C][C]0[/C][C]0.0888886766486158[/C][C]-0.0888886766486158[/C][/ROW]
[ROW][C]47[/C][C]0[/C][C]0.0510556030894473[/C][C]-0.0510556030894473[/C][/ROW]
[ROW][C]48[/C][C]0[/C][C]-0.0454685804387752[/C][C]0.0454685804387752[/C][/ROW]
[ROW][C]49[/C][C]0[/C][C]0.337462712225397[/C][C]-0.337462712225397[/C][/ROW]
[ROW][C]50[/C][C]0[/C][C]0.429478766829427[/C][C]-0.429478766829427[/C][/ROW]
[ROW][C]51[/C][C]0[/C][C]0.410612362762125[/C][C]-0.410612362762125[/C][/ROW]
[ROW][C]52[/C][C]0[/C][C]0.425915830652945[/C][C]-0.425915830652945[/C][/ROW]
[ROW][C]53[/C][C]0[/C][C]0.411523199637314[/C][C]-0.411523199637314[/C][/ROW]
[ROW][C]54[/C][C]0[/C][C]0.548471650784556[/C][C]-0.548471650784556[/C][/ROW]
[ROW][C]55[/C][C]1[/C][C]0.827124148425465[/C][C]0.172875851574535[/C][/ROW]
[ROW][C]56[/C][C]1[/C][C]0.791555115699535[/C][C]0.208444884300465[/C][/ROW]
[ROW][C]57[/C][C]1[/C][C]0.867414416717981[/C][C]0.132585583282019[/C][/ROW]
[ROW][C]58[/C][C]1[/C][C]0.75989015761346[/C][C]0.24010984238654[/C][/ROW]
[ROW][C]59[/C][C]1[/C][C]0.779279925853329[/C][C]0.220720074146671[/C][/ROW]
[ROW][C]60[/C][C]1[/C][C]0.650811627990098[/C][C]0.349188372009902[/C][/ROW]
[ROW][C]61[/C][C]0[/C][C]0.369771112322982[/C][C]-0.369771112322982[/C][/ROW]
[ROW][C]62[/C][C]0[/C][C]0.274652373908646[/C][C]-0.274652373908646[/C][/ROW]
[ROW][C]63[/C][C]0[/C][C]0.264475566136834[/C][C]-0.264475566136834[/C][/ROW]
[ROW][C]64[/C][C]0[/C][C]0.213606607781165[/C][C]-0.213606607781165[/C][/ROW]
[ROW][C]65[/C][C]0[/C][C]0.128335751181459[/C][C]-0.128335751181459[/C][/ROW]
[ROW][C]66[/C][C]0[/C][C]0.282275551186785[/C][C]-0.282275551186785[/C][/ROW]
[ROW][C]67[/C][C]1[/C][C]0.914779987721222[/C][C]0.0852200122787783[/C][/ROW]
[ROW][C]68[/C][C]1[/C][C]0.889104275485691[/C][C]0.110895724514309[/C][/ROW]
[ROW][C]69[/C][C]1[/C][C]0.922249603649403[/C][C]0.0777503963505966[/C][/ROW]
[ROW][C]70[/C][C]1[/C][C]0.942369236594238[/C][C]0.0576307634057618[/C][/ROW]
[ROW][C]71[/C][C]1[/C][C]0.850847788524586[/C][C]0.149152211475414[/C][/ROW]
[ROW][C]72[/C][C]1[/C][C]1.0929952918871[/C][C]-0.0929952918870988[/C][/ROW]
[ROW][C]73[/C][C]1[/C][C]0.887218784668305[/C][C]0.112781215331695[/C][/ROW]
[ROW][C]74[/C][C]1[/C][C]0.922935144943499[/C][C]0.0770648550565014[/C][/ROW]
[ROW][C]75[/C][C]1[/C][C]1.04226826538868[/C][C]-0.0422682653886783[/C][/ROW]
[ROW][C]76[/C][C]1[/C][C]1.07861400319026[/C][C]-0.0786140031902648[/C][/ROW]
[ROW][C]77[/C][C]1[/C][C]1.09857685229162[/C][C]-0.0985768522916173[/C][/ROW]
[ROW][C]78[/C][C]1[/C][C]1.00048324976104[/C][C]-0.000483249761042984[/C][/ROW]
[ROW][C]79[/C][C]1[/C][C]0.961132445212116[/C][C]0.0388675547878843[/C][/ROW]
[ROW][C]80[/C][C]1[/C][C]1.14127485384233[/C][C]-0.141274853842329[/C][/ROW]
[ROW][C]81[/C][C]1[/C][C]1.18014399237233[/C][C]-0.180143992372332[/C][/ROW]
[ROW][C]82[/C][C]1[/C][C]1.13521958160355[/C][C]-0.135219581603553[/C][/ROW]
[ROW][C]83[/C][C]1[/C][C]1.01365070163879[/C][C]-0.013650701638785[/C][/ROW]
[ROW][C]84[/C][C]1[/C][C]0.695987424638328[/C][C]0.304012575361672[/C][/ROW]
[ROW][C]85[/C][C]1[/C][C]1.08754001460853[/C][C]-0.087540014608529[/C][/ROW]
[ROW][C]86[/C][C]1[/C][C]0.8714690961714[/C][C]0.1285309038286[/C][/ROW]
[ROW][C]87[/C][C]1[/C][C]0.703131211991182[/C][C]0.296868788008818[/C][/ROW]
[ROW][C]88[/C][C]1[/C][C]0.944640929346063[/C][C]0.0553590706539372[/C][/ROW]
[ROW][C]89[/C][C]1[/C][C]0.990340664459315[/C][C]0.00965933554068479[/C][/ROW]
[ROW][C]90[/C][C]1[/C][C]1.22524955005452[/C][C]-0.225249550054523[/C][/ROW]
[ROW][C]91[/C][C]1[/C][C]1.1444663950855[/C][C]-0.144466395085502[/C][/ROW]
[ROW][C]92[/C][C]1[/C][C]0.79747052645473[/C][C]0.20252947354527[/C][/ROW]
[ROW][C]93[/C][C]1[/C][C]0.733671548368473[/C][C]0.266328451631527[/C][/ROW]
[ROW][C]94[/C][C]1[/C][C]0.853255669872845[/C][C]0.146744330127155[/C][/ROW]
[ROW][C]95[/C][C]1[/C][C]0.788559419317376[/C][C]0.211440580682624[/C][/ROW]
[ROW][C]96[/C][C]1[/C][C]0.757672420939526[/C][C]0.242327579060474[/C][/ROW]
[ROW][C]97[/C][C]1[/C][C]0.803006571712577[/C][C]0.196993428287423[/C][/ROW]
[ROW][C]98[/C][C]1[/C][C]1.0269041154346[/C][C]-0.0269041154346012[/C][/ROW]
[ROW][C]99[/C][C]1[/C][C]0.799739433453507[/C][C]0.200260566546493[/C][/ROW]
[ROW][C]100[/C][C]1[/C][C]0.897069344488765[/C][C]0.102930655511235[/C][/ROW]
[ROW][C]101[/C][C]1[/C][C]0.963852831891314[/C][C]0.0361471681086858[/C][/ROW]
[ROW][C]102[/C][C]1[/C][C]0.973804810116339[/C][C]0.0261951898836607[/C][/ROW]
[ROW][C]103[/C][C]1[/C][C]0.98891695734134[/C][C]0.0110830426586603[/C][/ROW]
[ROW][C]104[/C][C]1[/C][C]0.585775201351625[/C][C]0.414224798648375[/C][/ROW]
[ROW][C]105[/C][C]1[/C][C]0.580664954242027[/C][C]0.419335045757973[/C][/ROW]
[ROW][C]106[/C][C]1[/C][C]0.56726356304678[/C][C]0.43273643695322[/C][/ROW]
[ROW][C]107[/C][C]1[/C][C]0.535289074211038[/C][C]0.464710925788962[/C][/ROW]
[ROW][C]108[/C][C]1[/C][C]0.690104064853077[/C][C]0.309895935146924[/C][/ROW]
[ROW][C]109[/C][C]1[/C][C]0.617361963411798[/C][C]0.382638036588202[/C][/ROW]
[ROW][C]110[/C][C]1[/C][C]0.898421498732217[/C][C]0.101578501267783[/C][/ROW]
[ROW][C]111[/C][C]1[/C][C]1.0349901184112[/C][C]-0.0349901184111954[/C][/ROW]
[ROW][C]112[/C][C]1[/C][C]0.589988627977632[/C][C]0.410011372022368[/C][/ROW]
[ROW][C]113[/C][C]1[/C][C]0.801631201347241[/C][C]0.198368798652759[/C][/ROW]
[ROW][C]114[/C][C]1[/C][C]0.698870564867387[/C][C]0.301129435132613[/C][/ROW]
[ROW][C]115[/C][C]1[/C][C]0.802224629231783[/C][C]0.197775370768217[/C][/ROW]
[ROW][C]116[/C][C]1[/C][C]0.885094274706366[/C][C]0.114905725293634[/C][/ROW]
[ROW][C]117[/C][C]1[/C][C]0.728893883837251[/C][C]0.27110611616275[/C][/ROW]
[ROW][C]118[/C][C]1[/C][C]1.05185696669058[/C][C]-0.0518569666905822[/C][/ROW]
[ROW][C]119[/C][C]1[/C][C]0.886064142994193[/C][C]0.113935857005807[/C][/ROW]
[ROW][C]120[/C][C]1[/C][C]0.761601415528029[/C][C]0.238398584471971[/C][/ROW]
[ROW][C]121[/C][C]1[/C][C]0.551530391632511[/C][C]0.448469608367489[/C][/ROW]
[ROW][C]122[/C][C]1[/C][C]0.973633167370103[/C][C]0.0263668326298969[/C][/ROW]
[ROW][C]123[/C][C]1[/C][C]0.972848515008368[/C][C]0.0271514849916321[/C][/ROW]
[ROW][C]124[/C][C]1[/C][C]0.710601318882798[/C][C]0.289398681117202[/C][/ROW]
[ROW][C]125[/C][C]1[/C][C]0.618210073403584[/C][C]0.381789926596416[/C][/ROW]
[ROW][C]126[/C][C]1[/C][C]0.624620943526042[/C][C]0.375379056473958[/C][/ROW]
[ROW][C]127[/C][C]1[/C][C]0.61263866085933[/C][C]0.38736133914067[/C][/ROW]
[ROW][C]128[/C][C]1[/C][C]0.627585229400733[/C][C]0.372414770599267[/C][/ROW]
[ROW][C]129[/C][C]1[/C][C]0.414932142474285[/C][C]0.585067857525715[/C][/ROW]
[ROW][C]130[/C][C]1[/C][C]0.765248584649955[/C][C]0.234751415350045[/C][/ROW]
[ROW][C]131[/C][C]1[/C][C]0.803116650200536[/C][C]0.196883349799464[/C][/ROW]
[ROW][C]132[/C][C]1[/C][C]0.874957922383254[/C][C]0.125042077616746[/C][/ROW]
[ROW][C]133[/C][C]1[/C][C]1.05331673623118[/C][C]-0.0533167362311823[/C][/ROW]
[ROW][C]134[/C][C]1[/C][C]0.647040347184901[/C][C]0.352959652815099[/C][/ROW]
[ROW][C]135[/C][C]1[/C][C]0.963282443850131[/C][C]0.0367175561498689[/C][/ROW]
[ROW][C]136[/C][C]1[/C][C]0.961515308924935[/C][C]0.0384846910750653[/C][/ROW]
[ROW][C]137[/C][C]1[/C][C]1.14636887294033[/C][C]-0.146368872940327[/C][/ROW]
[ROW][C]138[/C][C]1[/C][C]1.15062769860524[/C][C]-0.15062769860524[/C][/ROW]
[ROW][C]139[/C][C]1[/C][C]0.959753467437581[/C][C]0.040246532562419[/C][/ROW]
[ROW][C]140[/C][C]1[/C][C]0.781480331855562[/C][C]0.218519668144438[/C][/ROW]
[ROW][C]141[/C][C]1[/C][C]0.910084885612918[/C][C]0.0899151143870816[/C][/ROW]
[ROW][C]142[/C][C]1[/C][C]0.858298464984477[/C][C]0.141701535015523[/C][/ROW]
[ROW][C]143[/C][C]1[/C][C]0.728995208332865[/C][C]0.271004791667135[/C][/ROW]
[ROW][C]144[/C][C]1[/C][C]0.682825875109554[/C][C]0.317174124890446[/C][/ROW]
[ROW][C]145[/C][C]1[/C][C]0.549393355678493[/C][C]0.450606644321507[/C][/ROW]
[ROW][C]146[/C][C]1[/C][C]0.860233218974998[/C][C]0.139766781025002[/C][/ROW]
[ROW][C]147[/C][C]1[/C][C]1.35151421933769[/C][C]-0.351514219337688[/C][/ROW]
[ROW][C]148[/C][C]1[/C][C]1.15228548184188[/C][C]-0.152285481841883[/C][/ROW]
[ROW][C]149[/C][C]1[/C][C]1.24477425379632[/C][C]-0.244774253796318[/C][/ROW]
[ROW][C]150[/C][C]1[/C][C]0.893701547247459[/C][C]0.106298452752541[/C][/ROW]
[ROW][C]151[/C][C]1[/C][C]0.934253012899124[/C][C]0.0657469871008764[/C][/ROW]
[ROW][C]152[/C][C]1[/C][C]0.955931652005062[/C][C]0.0440683479949375[/C][/ROW]
[ROW][C]153[/C][C]1[/C][C]0.959079615842162[/C][C]0.0409203841578378[/C][/ROW]
[ROW][C]154[/C][C]1[/C][C]0.845405826344979[/C][C]0.154594173655021[/C][/ROW]
[ROW][C]155[/C][C]1[/C][C]0.894438662733253[/C][C]0.105561337266747[/C][/ROW]
[ROW][C]156[/C][C]1[/C][C]0.994817348513963[/C][C]0.00518265148603696[/C][/ROW]
[ROW][C]157[/C][C]1[/C][C]0.798683990471482[/C][C]0.201316009528518[/C][/ROW]
[ROW][C]158[/C][C]1[/C][C]1.26869818106497[/C][C]-0.268698181064971[/C][/ROW]
[ROW][C]159[/C][C]1[/C][C]0.970747446527051[/C][C]0.0292525534729493[/C][/ROW]
[ROW][C]160[/C][C]1[/C][C]0.861900086104938[/C][C]0.138099913895062[/C][/ROW]
[ROW][C]161[/C][C]1[/C][C]1.12813217906433[/C][C]-0.128132179064332[/C][/ROW]
[ROW][C]162[/C][C]1[/C][C]1.05871249041533[/C][C]-0.0587124904153301[/C][/ROW]
[ROW][C]163[/C][C]1[/C][C]0.930825200324624[/C][C]0.0691747996753759[/C][/ROW]
[ROW][C]164[/C][C]1[/C][C]0.794175800244584[/C][C]0.205824199755416[/C][/ROW]
[ROW][C]165[/C][C]1[/C][C]1.38244252671673[/C][C]-0.382442526716726[/C][/ROW]
[ROW][C]166[/C][C]0[/C][C]0.450211565983269[/C][C]-0.450211565983269[/C][/ROW]
[ROW][C]167[/C][C]0[/C][C]0.22519056756442[/C][C]-0.22519056756442[/C][/ROW]
[ROW][C]168[/C][C]0[/C][C]0.0938475183626551[/C][C]-0.0938475183626551[/C][/ROW]
[ROW][C]169[/C][C]0[/C][C]0.941842611431521[/C][C]-0.941842611431521[/C][/ROW]
[ROW][C]170[/C][C]0[/C][C]0.230278004666855[/C][C]-0.230278004666855[/C][/ROW]
[ROW][C]171[/C][C]0[/C][C]0.114576202941095[/C][C]-0.114576202941095[/C][/ROW]
[ROW][C]172[/C][C]0[/C][C]0.799340584293414[/C][C]-0.799340584293414[/C][/ROW]
[ROW][C]173[/C][C]0[/C][C]0.835874394769199[/C][C]-0.835874394769199[/C][/ROW]
[ROW][C]174[/C][C]0[/C][C]0.878333846628463[/C][C]-0.878333846628463[/C][/ROW]
[ROW][C]175[/C][C]0[/C][C]0.866010122557376[/C][C]-0.866010122557376[/C][/ROW]
[ROW][C]176[/C][C]0[/C][C]0.834630864891687[/C][C]-0.834630864891687[/C][/ROW]
[ROW][C]177[/C][C]0[/C][C]0.776848813656463[/C][C]-0.776848813656463[/C][/ROW]
[ROW][C]178[/C][C]1[/C][C]0.644339970396199[/C][C]0.355660029603801[/C][/ROW]
[ROW][C]179[/C][C]1[/C][C]0.712232689877137[/C][C]0.287767310122863[/C][/ROW]
[ROW][C]180[/C][C]1[/C][C]0.934323868377382[/C][C]0.0656761316226184[/C][/ROW]
[ROW][C]181[/C][C]1[/C][C]0.763978508979727[/C][C]0.236021491020273[/C][/ROW]
[ROW][C]182[/C][C]1[/C][C]0.872426064641565[/C][C]0.127573935358435[/C][/ROW]
[ROW][C]183[/C][C]1[/C][C]0.71919338707823[/C][C]0.28080661292177[/C][/ROW]
[ROW][C]184[/C][C]0[/C][C]0.60438623696893[/C][C]-0.60438623696893[/C][/ROW]
[ROW][C]185[/C][C]0[/C][C]0.648463086262516[/C][C]-0.648463086262516[/C][/ROW]
[ROW][C]186[/C][C]0[/C][C]0.60678380361083[/C][C]-0.60678380361083[/C][/ROW]
[ROW][C]187[/C][C]0[/C][C]0.423249394950891[/C][C]-0.423249394950891[/C][/ROW]
[ROW][C]188[/C][C]0[/C][C]0.475361520617544[/C][C]-0.475361520617544[/C][/ROW]
[ROW][C]189[/C][C]0[/C][C]0.435996765718119[/C][C]-0.435996765718119[/C][/ROW]
[ROW][C]190[/C][C]0[/C][C]0.42827745741773[/C][C]-0.42827745741773[/C][/ROW]
[ROW][C]191[/C][C]0[/C][C]0.651128801100373[/C][C]-0.651128801100373[/C][/ROW]
[ROW][C]192[/C][C]0[/C][C]0.700978384060251[/C][C]-0.700978384060251[/C][/ROW]
[ROW][C]193[/C][C]0[/C][C]-0.174504265720579[/C][C]0.174504265720579[/C][/ROW]
[ROW][C]194[/C][C]0[/C][C]0.267080828848547[/C][C]-0.267080828848547[/C][/ROW]
[ROW][C]195[/C][C]0[/C][C]0.519415355713432[/C][C]-0.519415355713432[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=231281&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=231281&T=4

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


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

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
110.9435718734087540.0564281265912455
211.07058717103072-0.0705871710307231
310.9726108267779140.0273891732220857
411.07778264716755-0.0777826471675544
510.8710336800196860.128966319980314
610.9494552098230560.0505447901769438
710.7934059595406050.206594040459395
810.5806747033035140.419325296696486
910.9746026062470560.0253973937529436
1011.15090997127307-0.150909971273073
1111.11159903687375-0.111599036873746
1211.23810566911362-0.238105669113624
1310.4568822583271740.543117741672826
1410.8801516237018580.119848376298142
1510.7048458706691740.295154129330826
1610.7027107432536540.297289256746346
1710.5444417507558150.455558249244185
1811.32291525306483-0.322915253064833
1911.29341211466237-0.293412114662373
2010.9660637905679130.0339362094320865
2111.06594590122215-0.0659459012221548
2210.8904739780356030.109526021964397
2311.10343211303229-0.10343211303229
2410.8657710469210140.134228953078986
2510.8203585587849280.179641441215072
2610.9174088820383940.0825911179616064
2710.8040186175728630.195981382427137
2810.7958999334865740.204100066513426
2910.6613956322612950.338604367738705
3010.6993240476614450.300675952338555
3100.296327010991969-0.296327010991969
3200.159358654160876-0.159358654160876
3300.192351326079387-0.192351326079387
3400.12808618234784-0.12808618234784
3500.0881745262934908-0.0881745262934908
3600.203627719574811-0.203627719574811
3710.8106942409724730.189305759027527
3810.8234624769552710.176537523044729
3910.5960432570564540.403956742943546
4010.7530913878418260.246908612158173
4110.6125963608212850.387403639178715
4210.4365019433929290.563498056607071
4300.244620632158114-0.244620632158114
4400.204235196326393-0.204235196326393
4500.0134396038023798-0.0134396038023798
4600.0888886766486158-0.0888886766486158
4700.0510556030894473-0.0510556030894473
480-0.04546858043877520.0454685804387752
4900.337462712225397-0.337462712225397
5000.429478766829427-0.429478766829427
5100.410612362762125-0.410612362762125
5200.425915830652945-0.425915830652945
5300.411523199637314-0.411523199637314
5400.548471650784556-0.548471650784556
5510.8271241484254650.172875851574535
5610.7915551156995350.208444884300465
5710.8674144167179810.132585583282019
5810.759890157613460.24010984238654
5910.7792799258533290.220720074146671
6010.6508116279900980.349188372009902
6100.369771112322982-0.369771112322982
6200.274652373908646-0.274652373908646
6300.264475566136834-0.264475566136834
6400.213606607781165-0.213606607781165
6500.128335751181459-0.128335751181459
6600.282275551186785-0.282275551186785
6710.9147799877212220.0852200122787783
6810.8891042754856910.110895724514309
6910.9222496036494030.0777503963505966
7010.9423692365942380.0576307634057618
7110.8508477885245860.149152211475414
7211.0929952918871-0.0929952918870988
7310.8872187846683050.112781215331695
7410.9229351449434990.0770648550565014
7511.04226826538868-0.0422682653886783
7611.07861400319026-0.0786140031902648
7711.09857685229162-0.0985768522916173
7811.00048324976104-0.000483249761042984
7910.9611324452121160.0388675547878843
8011.14127485384233-0.141274853842329
8111.18014399237233-0.180143992372332
8211.13521958160355-0.135219581603553
8311.01365070163879-0.013650701638785
8410.6959874246383280.304012575361672
8511.08754001460853-0.087540014608529
8610.87146909617140.1285309038286
8710.7031312119911820.296868788008818
8810.9446409293460630.0553590706539372
8910.9903406644593150.00965933554068479
9011.22524955005452-0.225249550054523
9111.1444663950855-0.144466395085502
9210.797470526454730.20252947354527
9310.7336715483684730.266328451631527
9410.8532556698728450.146744330127155
9510.7885594193173760.211440580682624
9610.7576724209395260.242327579060474
9710.8030065717125770.196993428287423
9811.0269041154346-0.0269041154346012
9910.7997394334535070.200260566546493
10010.8970693444887650.102930655511235
10110.9638528318913140.0361471681086858
10210.9738048101163390.0261951898836607
10310.988916957341340.0110830426586603
10410.5857752013516250.414224798648375
10510.5806649542420270.419335045757973
10610.567263563046780.43273643695322
10710.5352890742110380.464710925788962
10810.6901040648530770.309895935146924
10910.6173619634117980.382638036588202
11010.8984214987322170.101578501267783
11111.0349901184112-0.0349901184111954
11210.5899886279776320.410011372022368
11310.8016312013472410.198368798652759
11410.6988705648673870.301129435132613
11510.8022246292317830.197775370768217
11610.8850942747063660.114905725293634
11710.7288938838372510.27110611616275
11811.05185696669058-0.0518569666905822
11910.8860641429941930.113935857005807
12010.7616014155280290.238398584471971
12110.5515303916325110.448469608367489
12210.9736331673701030.0263668326298969
12310.9728485150083680.0271514849916321
12410.7106013188827980.289398681117202
12510.6182100734035840.381789926596416
12610.6246209435260420.375379056473958
12710.612638660859330.38736133914067
12810.6275852294007330.372414770599267
12910.4149321424742850.585067857525715
13010.7652485846499550.234751415350045
13110.8031166502005360.196883349799464
13210.8749579223832540.125042077616746
13311.05331673623118-0.0533167362311823
13410.6470403471849010.352959652815099
13510.9632824438501310.0367175561498689
13610.9615153089249350.0384846910750653
13711.14636887294033-0.146368872940327
13811.15062769860524-0.15062769860524
13910.9597534674375810.040246532562419
14010.7814803318555620.218519668144438
14110.9100848856129180.0899151143870816
14210.8582984649844770.141701535015523
14310.7289952083328650.271004791667135
14410.6828258751095540.317174124890446
14510.5493933556784930.450606644321507
14610.8602332189749980.139766781025002
14711.35151421933769-0.351514219337688
14811.15228548184188-0.152285481841883
14911.24477425379632-0.244774253796318
15010.8937015472474590.106298452752541
15110.9342530128991240.0657469871008764
15210.9559316520050620.0440683479949375
15310.9590796158421620.0409203841578378
15410.8454058263449790.154594173655021
15510.8944386627332530.105561337266747
15610.9948173485139630.00518265148603696
15710.7986839904714820.201316009528518
15811.26869818106497-0.268698181064971
15910.9707474465270510.0292525534729493
16010.8619000861049380.138099913895062
16111.12813217906433-0.128132179064332
16211.05871249041533-0.0587124904153301
16310.9308252003246240.0691747996753759
16410.7941758002445840.205824199755416
16511.38244252671673-0.382442526716726
16600.450211565983269-0.450211565983269
16700.22519056756442-0.22519056756442
16800.0938475183626551-0.0938475183626551
16900.941842611431521-0.941842611431521
17000.230278004666855-0.230278004666855
17100.114576202941095-0.114576202941095
17200.799340584293414-0.799340584293414
17300.835874394769199-0.835874394769199
17400.878333846628463-0.878333846628463
17500.866010122557376-0.866010122557376
17600.834630864891687-0.834630864891687
17700.776848813656463-0.776848813656463
17810.6443399703961990.355660029603801
17910.7122326898771370.287767310122863
18010.9343238683773820.0656761316226184
18110.7639785089797270.236021491020273
18210.8724260646415650.127573935358435
18310.719193387078230.28080661292177
18400.60438623696893-0.60438623696893
18500.648463086262516-0.648463086262516
18600.60678380361083-0.60678380361083
18700.423249394950891-0.423249394950891
18800.475361520617544-0.475361520617544
18900.435996765718119-0.435996765718119
19000.42827745741773-0.42827745741773
19100.651128801100373-0.651128801100373
19200.700978384060251-0.700978384060251
1930-0.1745042657205790.174504265720579
19400.267080828848547-0.267080828848547
19500.519415355713432-0.519415355713432






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
261.81438409223026e-533.62876818446051e-531
273.49728905007942e-656.99457810015884e-651
289.1236837078931e-781.82473674157862e-771
293.41666743996561e-946.83333487993122e-941
304.41969755118974e-1108.83939510237949e-1101
310.0002546253124081160.0005092506248162320.999745374687592
326.62847257117535e-050.0001325694514235070.999933715274288
331.63454964878992e-053.26909929757984e-050.999983654503512
344.92124377020976e-069.84248754041953e-060.99999507875623
351.49305328851475e-062.98610657702949e-060.999998506946711
363.66378070811956e-077.32756141623913e-070.999999633621929
375.20394264220825e-050.0001040788528441650.999947960573578
382.99680905954555e-055.99361811909109e-050.999970031909405
390.0005278444860113280.001055688972022660.999472155513989
400.0008676116323210030.001735223264642010.999132388367679
410.001089026970569790.002178053941139580.99891097302943
420.0006345594457309970.001269118891461990.999365440554269
430.0003910895155717790.0007821790311435580.999608910484428
440.00021886814440030.00043773628880060.9997811318556
450.000101993548534080.0002039870970681610.999898006451466
465.0069176796768e-050.0001001383535935360.999949930823203
472.99691616848407e-055.99383233696813e-050.999970030838315
483.98806842573329e-057.97613685146658e-050.999960119315743
490.0001743572285985760.0003487144571971520.999825642771401
500.000143820802433360.0002876416048667190.999856179197567
519.51895033093261e-050.0001903790066186520.999904810496691
526.3125179206697e-050.0001262503584133940.999936874820793
534.4357935109047e-058.87158702180939e-050.999955642064891
544.61594701138065e-059.23189402276131e-050.999953840529886
555.31699418276177e-050.0001063398836552350.999946830058172
566.65460009807362e-050.0001330920019614720.999933453999019
573.76978624480401e-057.53957248960802e-050.999962302137552
582.59914485841906e-055.19828971683812e-050.999974008551416
591.47525609296534e-052.95051218593069e-050.99998524743907
608.44088135164056e-061.68817627032811e-050.999991559118648
610.0003517339059890730.0007034678119781460.999648266094011
620.0004571404998191990.0009142809996383980.999542859500181
630.0006235911688447020.00124718233768940.999376408831155
640.0006232405135674220.001246481027134840.999376759486433
650.0004260821468709670.0008521642937419340.999573917853129
660.0004220822194513580.0008441644389027160.999577917780549
670.0002832624392246310.0005665248784492620.999716737560775
680.0001823968318886720.0003647936637773440.999817603168111
690.0002316279749870250.0004632559499740490.999768372025013
700.0001786081121384880.0003572162242769760.999821391887862
710.0001078654547684830.0002157309095369670.999892134545232
727.36295524172138e-050.0001472591048344280.999926370447583
734.32048668296293e-058.64097336592586e-050.99995679513317
740.000119607809047650.0002392156180952990.999880392190952
750.0001563976479958010.0003127952959916020.999843602352004
760.0001157692588703020.0002315385177406030.99988423074113
777.49723911826325e-050.0001499447823652650.999925027608817
785.88101399501179e-050.0001176202799002360.99994118986005
793.48878228535755e-056.97756457071511e-050.999965112177146
802.49066663689606e-054.98133327379212e-050.999975093333631
811.84899066341075e-053.69798132682151e-050.999981510093366
821.07743233663281e-052.15486467326562e-050.999989225676634
837.13071915381947e-061.42614383076389e-050.999992869280846
844.57943538761714e-069.15887077523429e-060.999995420564612
852.76834504810514e-065.53669009621027e-060.999997231654952
863.23318319562684e-066.46636639125367e-060.999996766816804
875.28066348170451e-061.0561326963409e-050.999994719336518
883.34163477757585e-066.68326955515171e-060.999996658365222
892.59786025835542e-065.19572051671084e-060.999997402139742
903.21489725053695e-066.4297945010739e-060.999996785102749
913.17261767361645e-066.34523534723291e-060.999996827382326
923.96137920377853e-067.92275840755706e-060.999996038620796
932.51951755405449e-065.03903510810898e-060.999997480482446
941.68852319041293e-063.37704638082586e-060.99999831147681
951.08969713952143e-062.17939427904286e-060.99999891030286
966.7561696139477e-071.35123392278954e-060.999999324383039
974.20085633251944e-078.40171266503888e-070.999999579914367
982.39384034367239e-074.78768068734477e-070.999999760615966
991.48974868729118e-072.97949737458236e-070.999999851025131
1008.73995207075915e-081.74799041415183e-070.999999912600479
1016.86125351496798e-081.3722507029936e-070.999999931387465
1026.59206067976372e-081.31841213595274e-070.999999934079393
1037.73712792239832e-081.54742558447966e-070.999999922628721
1041.48816331354254e-072.97632662708509e-070.999999851183669
1052.30965798632368e-074.61931597264735e-070.999999769034201
1064.22015270405813e-078.44030540811626e-070.99999957798473
1079.94050148728116e-071.98810029745623e-060.999999005949851
1087.28182347497824e-071.45636469499565e-060.999999271817652
1091.65514312046865e-063.3102862409373e-060.99999834485688
1101.3567366183008e-062.7134732366016e-060.999998643263382
1118.08882499682179e-071.61776499936436e-060.9999991911175
1121.63893148931833e-063.27786297863666e-060.999998361068511
1131.08424599441635e-062.16849198883271e-060.999998915754006
1141.26297962739016e-062.52595925478032e-060.999998737020373
1151.24806634616447e-062.49613269232893e-060.999998751933654
1168.45061874020455e-071.69012374804091e-060.999999154938126
1171.16202768060956e-062.32405536121913e-060.999998837972319
1186.70628532326706e-071.34125706465341e-060.999999329371468
1194.73737300455378e-079.47474600910757e-070.9999995262627
1201.08743858904846e-062.17487717809693e-060.999998912561411
1216.79344701073909e-061.35868940214782e-050.999993206552989
1221.71457078479774e-053.42914156959549e-050.999982854292152
1231.09449489616585e-052.1889897923317e-050.999989055051038
1247.51177962875505e-061.50235592575101e-050.999992488220371
1255.28316847698427e-061.05663369539685e-050.999994716831523
1265.53158519794285e-061.10631703958857e-050.999994468414802
1271.11080908746391e-052.22161817492782e-050.999988891909125
1280.0001462569487266830.0002925138974533660.999853743051273
1290.0003825555133169420.0007651110266338840.999617444486683
1300.0004874166036736140.0009748332073472270.999512583396326
1310.0005018673369011950.001003734673802390.999498132663099
1320.0003434650903237030.0006869301806474060.999656534909676
1330.0003079670991769760.0006159341983539530.999692032900823
1340.001383024368866320.002766048737732640.998616975631134
1350.001606070387067990.003212140774135980.998393929612932
1360.001563284056307820.003126568112615630.998436715943692
1370.001689852360401270.003379704720802540.998310147639599
1380.001735729465147030.003471458930294060.998264270534853
1390.001172495386033190.002344990772066390.998827504613967
1400.001453524377982060.002907048755964110.998546475622018
1410.001228730377121260.002457460754242530.998771269622879
1420.001564035179413410.003128070358826830.998435964820587
1430.00131452987614560.002629059752291210.998685470123854
1440.004516192363121050.00903238472624210.995483807636879
1450.00392026573812410.007840531476248210.996079734261876
1460.003016489050528590.006032978101057190.996983510949471
1470.002145463743986910.004290927487973810.997854536256013
1480.001383527940117930.002767055880235860.998616472059882
1490.001399000170536450.00279800034107290.998600999829464
1500.0009274371251949570.001854874250389910.999072562874805
1510.0008691156278082930.001738231255616590.999130884372192
1520.006385178190220710.01277035638044140.993614821809779
1530.0342769784350740.06855395687014810.965723021564926
1540.03053679327066510.06107358654133020.969463206729335
1550.02584513880429140.05169027760858290.974154861195709
1560.01922083127650620.03844166255301240.980779168723494
1570.08907861687575480.178157233751510.910921383124245
1580.0842521259252020.1685042518504040.915747874074798
1590.2873580139156750.574716027831350.712641986084325
1600.226366713708780.452733427417560.77363328629122
1610.1699163102398240.3398326204796470.830083689760176
1620.1292571721585230.2585143443170460.870742827841477
1630.1478543244757470.2957086489514950.852145675524253
1640.316124809331410.632249618662820.68387519066859
1650.4253479551802380.8506959103604760.574652044819762
1660.5208675982359030.9582648035281950.479132401764097
1670.9017518204617490.1964963590765020.0982481795382508
1680.9450032960402120.1099934079195760.0549967039597881
1690.9629542866466210.07409142670675860.0370457133533793

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
26 & 1.81438409223026e-53 & 3.62876818446051e-53 & 1 \tabularnewline
27 & 3.49728905007942e-65 & 6.99457810015884e-65 & 1 \tabularnewline
28 & 9.1236837078931e-78 & 1.82473674157862e-77 & 1 \tabularnewline
29 & 3.41666743996561e-94 & 6.83333487993122e-94 & 1 \tabularnewline
30 & 4.41969755118974e-110 & 8.83939510237949e-110 & 1 \tabularnewline
31 & 0.000254625312408116 & 0.000509250624816232 & 0.999745374687592 \tabularnewline
32 & 6.62847257117535e-05 & 0.000132569451423507 & 0.999933715274288 \tabularnewline
33 & 1.63454964878992e-05 & 3.26909929757984e-05 & 0.999983654503512 \tabularnewline
34 & 4.92124377020976e-06 & 9.84248754041953e-06 & 0.99999507875623 \tabularnewline
35 & 1.49305328851475e-06 & 2.98610657702949e-06 & 0.999998506946711 \tabularnewline
36 & 3.66378070811956e-07 & 7.32756141623913e-07 & 0.999999633621929 \tabularnewline
37 & 5.20394264220825e-05 & 0.000104078852844165 & 0.999947960573578 \tabularnewline
38 & 2.99680905954555e-05 & 5.99361811909109e-05 & 0.999970031909405 \tabularnewline
39 & 0.000527844486011328 & 0.00105568897202266 & 0.999472155513989 \tabularnewline
40 & 0.000867611632321003 & 0.00173522326464201 & 0.999132388367679 \tabularnewline
41 & 0.00108902697056979 & 0.00217805394113958 & 0.99891097302943 \tabularnewline
42 & 0.000634559445730997 & 0.00126911889146199 & 0.999365440554269 \tabularnewline
43 & 0.000391089515571779 & 0.000782179031143558 & 0.999608910484428 \tabularnewline
44 & 0.0002188681444003 & 0.0004377362888006 & 0.9997811318556 \tabularnewline
45 & 0.00010199354853408 & 0.000203987097068161 & 0.999898006451466 \tabularnewline
46 & 5.0069176796768e-05 & 0.000100138353593536 & 0.999949930823203 \tabularnewline
47 & 2.99691616848407e-05 & 5.99383233696813e-05 & 0.999970030838315 \tabularnewline
48 & 3.98806842573329e-05 & 7.97613685146658e-05 & 0.999960119315743 \tabularnewline
49 & 0.000174357228598576 & 0.000348714457197152 & 0.999825642771401 \tabularnewline
50 & 0.00014382080243336 & 0.000287641604866719 & 0.999856179197567 \tabularnewline
51 & 9.51895033093261e-05 & 0.000190379006618652 & 0.999904810496691 \tabularnewline
52 & 6.3125179206697e-05 & 0.000126250358413394 & 0.999936874820793 \tabularnewline
53 & 4.4357935109047e-05 & 8.87158702180939e-05 & 0.999955642064891 \tabularnewline
54 & 4.61594701138065e-05 & 9.23189402276131e-05 & 0.999953840529886 \tabularnewline
55 & 5.31699418276177e-05 & 0.000106339883655235 & 0.999946830058172 \tabularnewline
56 & 6.65460009807362e-05 & 0.000133092001961472 & 0.999933453999019 \tabularnewline
57 & 3.76978624480401e-05 & 7.53957248960802e-05 & 0.999962302137552 \tabularnewline
58 & 2.59914485841906e-05 & 5.19828971683812e-05 & 0.999974008551416 \tabularnewline
59 & 1.47525609296534e-05 & 2.95051218593069e-05 & 0.99998524743907 \tabularnewline
60 & 8.44088135164056e-06 & 1.68817627032811e-05 & 0.999991559118648 \tabularnewline
61 & 0.000351733905989073 & 0.000703467811978146 & 0.999648266094011 \tabularnewline
62 & 0.000457140499819199 & 0.000914280999638398 & 0.999542859500181 \tabularnewline
63 & 0.000623591168844702 & 0.0012471823376894 & 0.999376408831155 \tabularnewline
64 & 0.000623240513567422 & 0.00124648102713484 & 0.999376759486433 \tabularnewline
65 & 0.000426082146870967 & 0.000852164293741934 & 0.999573917853129 \tabularnewline
66 & 0.000422082219451358 & 0.000844164438902716 & 0.999577917780549 \tabularnewline
67 & 0.000283262439224631 & 0.000566524878449262 & 0.999716737560775 \tabularnewline
68 & 0.000182396831888672 & 0.000364793663777344 & 0.999817603168111 \tabularnewline
69 & 0.000231627974987025 & 0.000463255949974049 & 0.999768372025013 \tabularnewline
70 & 0.000178608112138488 & 0.000357216224276976 & 0.999821391887862 \tabularnewline
71 & 0.000107865454768483 & 0.000215730909536967 & 0.999892134545232 \tabularnewline
72 & 7.36295524172138e-05 & 0.000147259104834428 & 0.999926370447583 \tabularnewline
73 & 4.32048668296293e-05 & 8.64097336592586e-05 & 0.99995679513317 \tabularnewline
74 & 0.00011960780904765 & 0.000239215618095299 & 0.999880392190952 \tabularnewline
75 & 0.000156397647995801 & 0.000312795295991602 & 0.999843602352004 \tabularnewline
76 & 0.000115769258870302 & 0.000231538517740603 & 0.99988423074113 \tabularnewline
77 & 7.49723911826325e-05 & 0.000149944782365265 & 0.999925027608817 \tabularnewline
78 & 5.88101399501179e-05 & 0.000117620279900236 & 0.99994118986005 \tabularnewline
79 & 3.48878228535755e-05 & 6.97756457071511e-05 & 0.999965112177146 \tabularnewline
80 & 2.49066663689606e-05 & 4.98133327379212e-05 & 0.999975093333631 \tabularnewline
81 & 1.84899066341075e-05 & 3.69798132682151e-05 & 0.999981510093366 \tabularnewline
82 & 1.07743233663281e-05 & 2.15486467326562e-05 & 0.999989225676634 \tabularnewline
83 & 7.13071915381947e-06 & 1.42614383076389e-05 & 0.999992869280846 \tabularnewline
84 & 4.57943538761714e-06 & 9.15887077523429e-06 & 0.999995420564612 \tabularnewline
85 & 2.76834504810514e-06 & 5.53669009621027e-06 & 0.999997231654952 \tabularnewline
86 & 3.23318319562684e-06 & 6.46636639125367e-06 & 0.999996766816804 \tabularnewline
87 & 5.28066348170451e-06 & 1.0561326963409e-05 & 0.999994719336518 \tabularnewline
88 & 3.34163477757585e-06 & 6.68326955515171e-06 & 0.999996658365222 \tabularnewline
89 & 2.59786025835542e-06 & 5.19572051671084e-06 & 0.999997402139742 \tabularnewline
90 & 3.21489725053695e-06 & 6.4297945010739e-06 & 0.999996785102749 \tabularnewline
91 & 3.17261767361645e-06 & 6.34523534723291e-06 & 0.999996827382326 \tabularnewline
92 & 3.96137920377853e-06 & 7.92275840755706e-06 & 0.999996038620796 \tabularnewline
93 & 2.51951755405449e-06 & 5.03903510810898e-06 & 0.999997480482446 \tabularnewline
94 & 1.68852319041293e-06 & 3.37704638082586e-06 & 0.99999831147681 \tabularnewline
95 & 1.08969713952143e-06 & 2.17939427904286e-06 & 0.99999891030286 \tabularnewline
96 & 6.7561696139477e-07 & 1.35123392278954e-06 & 0.999999324383039 \tabularnewline
97 & 4.20085633251944e-07 & 8.40171266503888e-07 & 0.999999579914367 \tabularnewline
98 & 2.39384034367239e-07 & 4.78768068734477e-07 & 0.999999760615966 \tabularnewline
99 & 1.48974868729118e-07 & 2.97949737458236e-07 & 0.999999851025131 \tabularnewline
100 & 8.73995207075915e-08 & 1.74799041415183e-07 & 0.999999912600479 \tabularnewline
101 & 6.86125351496798e-08 & 1.3722507029936e-07 & 0.999999931387465 \tabularnewline
102 & 6.59206067976372e-08 & 1.31841213595274e-07 & 0.999999934079393 \tabularnewline
103 & 7.73712792239832e-08 & 1.54742558447966e-07 & 0.999999922628721 \tabularnewline
104 & 1.48816331354254e-07 & 2.97632662708509e-07 & 0.999999851183669 \tabularnewline
105 & 2.30965798632368e-07 & 4.61931597264735e-07 & 0.999999769034201 \tabularnewline
106 & 4.22015270405813e-07 & 8.44030540811626e-07 & 0.99999957798473 \tabularnewline
107 & 9.94050148728116e-07 & 1.98810029745623e-06 & 0.999999005949851 \tabularnewline
108 & 7.28182347497824e-07 & 1.45636469499565e-06 & 0.999999271817652 \tabularnewline
109 & 1.65514312046865e-06 & 3.3102862409373e-06 & 0.99999834485688 \tabularnewline
110 & 1.3567366183008e-06 & 2.7134732366016e-06 & 0.999998643263382 \tabularnewline
111 & 8.08882499682179e-07 & 1.61776499936436e-06 & 0.9999991911175 \tabularnewline
112 & 1.63893148931833e-06 & 3.27786297863666e-06 & 0.999998361068511 \tabularnewline
113 & 1.08424599441635e-06 & 2.16849198883271e-06 & 0.999998915754006 \tabularnewline
114 & 1.26297962739016e-06 & 2.52595925478032e-06 & 0.999998737020373 \tabularnewline
115 & 1.24806634616447e-06 & 2.49613269232893e-06 & 0.999998751933654 \tabularnewline
116 & 8.45061874020455e-07 & 1.69012374804091e-06 & 0.999999154938126 \tabularnewline
117 & 1.16202768060956e-06 & 2.32405536121913e-06 & 0.999998837972319 \tabularnewline
118 & 6.70628532326706e-07 & 1.34125706465341e-06 & 0.999999329371468 \tabularnewline
119 & 4.73737300455378e-07 & 9.47474600910757e-07 & 0.9999995262627 \tabularnewline
120 & 1.08743858904846e-06 & 2.17487717809693e-06 & 0.999998912561411 \tabularnewline
121 & 6.79344701073909e-06 & 1.35868940214782e-05 & 0.999993206552989 \tabularnewline
122 & 1.71457078479774e-05 & 3.42914156959549e-05 & 0.999982854292152 \tabularnewline
123 & 1.09449489616585e-05 & 2.1889897923317e-05 & 0.999989055051038 \tabularnewline
124 & 7.51177962875505e-06 & 1.50235592575101e-05 & 0.999992488220371 \tabularnewline
125 & 5.28316847698427e-06 & 1.05663369539685e-05 & 0.999994716831523 \tabularnewline
126 & 5.53158519794285e-06 & 1.10631703958857e-05 & 0.999994468414802 \tabularnewline
127 & 1.11080908746391e-05 & 2.22161817492782e-05 & 0.999988891909125 \tabularnewline
128 & 0.000146256948726683 & 0.000292513897453366 & 0.999853743051273 \tabularnewline
129 & 0.000382555513316942 & 0.000765111026633884 & 0.999617444486683 \tabularnewline
130 & 0.000487416603673614 & 0.000974833207347227 & 0.999512583396326 \tabularnewline
131 & 0.000501867336901195 & 0.00100373467380239 & 0.999498132663099 \tabularnewline
132 & 0.000343465090323703 & 0.000686930180647406 & 0.999656534909676 \tabularnewline
133 & 0.000307967099176976 & 0.000615934198353953 & 0.999692032900823 \tabularnewline
134 & 0.00138302436886632 & 0.00276604873773264 & 0.998616975631134 \tabularnewline
135 & 0.00160607038706799 & 0.00321214077413598 & 0.998393929612932 \tabularnewline
136 & 0.00156328405630782 & 0.00312656811261563 & 0.998436715943692 \tabularnewline
137 & 0.00168985236040127 & 0.00337970472080254 & 0.998310147639599 \tabularnewline
138 & 0.00173572946514703 & 0.00347145893029406 & 0.998264270534853 \tabularnewline
139 & 0.00117249538603319 & 0.00234499077206639 & 0.998827504613967 \tabularnewline
140 & 0.00145352437798206 & 0.00290704875596411 & 0.998546475622018 \tabularnewline
141 & 0.00122873037712126 & 0.00245746075424253 & 0.998771269622879 \tabularnewline
142 & 0.00156403517941341 & 0.00312807035882683 & 0.998435964820587 \tabularnewline
143 & 0.0013145298761456 & 0.00262905975229121 & 0.998685470123854 \tabularnewline
144 & 0.00451619236312105 & 0.0090323847262421 & 0.995483807636879 \tabularnewline
145 & 0.0039202657381241 & 0.00784053147624821 & 0.996079734261876 \tabularnewline
146 & 0.00301648905052859 & 0.00603297810105719 & 0.996983510949471 \tabularnewline
147 & 0.00214546374398691 & 0.00429092748797381 & 0.997854536256013 \tabularnewline
148 & 0.00138352794011793 & 0.00276705588023586 & 0.998616472059882 \tabularnewline
149 & 0.00139900017053645 & 0.0027980003410729 & 0.998600999829464 \tabularnewline
150 & 0.000927437125194957 & 0.00185487425038991 & 0.999072562874805 \tabularnewline
151 & 0.000869115627808293 & 0.00173823125561659 & 0.999130884372192 \tabularnewline
152 & 0.00638517819022071 & 0.0127703563804414 & 0.993614821809779 \tabularnewline
153 & 0.034276978435074 & 0.0685539568701481 & 0.965723021564926 \tabularnewline
154 & 0.0305367932706651 & 0.0610735865413302 & 0.969463206729335 \tabularnewline
155 & 0.0258451388042914 & 0.0516902776085829 & 0.974154861195709 \tabularnewline
156 & 0.0192208312765062 & 0.0384416625530124 & 0.980779168723494 \tabularnewline
157 & 0.0890786168757548 & 0.17815723375151 & 0.910921383124245 \tabularnewline
158 & 0.084252125925202 & 0.168504251850404 & 0.915747874074798 \tabularnewline
159 & 0.287358013915675 & 0.57471602783135 & 0.712641986084325 \tabularnewline
160 & 0.22636671370878 & 0.45273342741756 & 0.77363328629122 \tabularnewline
161 & 0.169916310239824 & 0.339832620479647 & 0.830083689760176 \tabularnewline
162 & 0.129257172158523 & 0.258514344317046 & 0.870742827841477 \tabularnewline
163 & 0.147854324475747 & 0.295708648951495 & 0.852145675524253 \tabularnewline
164 & 0.31612480933141 & 0.63224961866282 & 0.68387519066859 \tabularnewline
165 & 0.425347955180238 & 0.850695910360476 & 0.574652044819762 \tabularnewline
166 & 0.520867598235903 & 0.958264803528195 & 0.479132401764097 \tabularnewline
167 & 0.901751820461749 & 0.196496359076502 & 0.0982481795382508 \tabularnewline
168 & 0.945003296040212 & 0.109993407919576 & 0.0549967039597881 \tabularnewline
169 & 0.962954286646621 & 0.0740914267067586 & 0.0370457133533793 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=231281&T=5

[TABLE]
[ROW][C]Goldfeld-Quandt test for Heteroskedasticity[/C][/ROW]
[ROW][C]p-values[/C][C]Alternative Hypothesis[/C][/ROW]
[ROW][C]breakpoint index[/C][C]greater[/C][C]2-sided[/C][C]less[/C][/ROW]
[ROW][C]26[/C][C]1.81438409223026e-53[/C][C]3.62876818446051e-53[/C][C]1[/C][/ROW]
[ROW][C]27[/C][C]3.49728905007942e-65[/C][C]6.99457810015884e-65[/C][C]1[/C][/ROW]
[ROW][C]28[/C][C]9.1236837078931e-78[/C][C]1.82473674157862e-77[/C][C]1[/C][/ROW]
[ROW][C]29[/C][C]3.41666743996561e-94[/C][C]6.83333487993122e-94[/C][C]1[/C][/ROW]
[ROW][C]30[/C][C]4.41969755118974e-110[/C][C]8.83939510237949e-110[/C][C]1[/C][/ROW]
[ROW][C]31[/C][C]0.000254625312408116[/C][C]0.000509250624816232[/C][C]0.999745374687592[/C][/ROW]
[ROW][C]32[/C][C]6.62847257117535e-05[/C][C]0.000132569451423507[/C][C]0.999933715274288[/C][/ROW]
[ROW][C]33[/C][C]1.63454964878992e-05[/C][C]3.26909929757984e-05[/C][C]0.999983654503512[/C][/ROW]
[ROW][C]34[/C][C]4.92124377020976e-06[/C][C]9.84248754041953e-06[/C][C]0.99999507875623[/C][/ROW]
[ROW][C]35[/C][C]1.49305328851475e-06[/C][C]2.98610657702949e-06[/C][C]0.999998506946711[/C][/ROW]
[ROW][C]36[/C][C]3.66378070811956e-07[/C][C]7.32756141623913e-07[/C][C]0.999999633621929[/C][/ROW]
[ROW][C]37[/C][C]5.20394264220825e-05[/C][C]0.000104078852844165[/C][C]0.999947960573578[/C][/ROW]
[ROW][C]38[/C][C]2.99680905954555e-05[/C][C]5.99361811909109e-05[/C][C]0.999970031909405[/C][/ROW]
[ROW][C]39[/C][C]0.000527844486011328[/C][C]0.00105568897202266[/C][C]0.999472155513989[/C][/ROW]
[ROW][C]40[/C][C]0.000867611632321003[/C][C]0.00173522326464201[/C][C]0.999132388367679[/C][/ROW]
[ROW][C]41[/C][C]0.00108902697056979[/C][C]0.00217805394113958[/C][C]0.99891097302943[/C][/ROW]
[ROW][C]42[/C][C]0.000634559445730997[/C][C]0.00126911889146199[/C][C]0.999365440554269[/C][/ROW]
[ROW][C]43[/C][C]0.000391089515571779[/C][C]0.000782179031143558[/C][C]0.999608910484428[/C][/ROW]
[ROW][C]44[/C][C]0.0002188681444003[/C][C]0.0004377362888006[/C][C]0.9997811318556[/C][/ROW]
[ROW][C]45[/C][C]0.00010199354853408[/C][C]0.000203987097068161[/C][C]0.999898006451466[/C][/ROW]
[ROW][C]46[/C][C]5.0069176796768e-05[/C][C]0.000100138353593536[/C][C]0.999949930823203[/C][/ROW]
[ROW][C]47[/C][C]2.99691616848407e-05[/C][C]5.99383233696813e-05[/C][C]0.999970030838315[/C][/ROW]
[ROW][C]48[/C][C]3.98806842573329e-05[/C][C]7.97613685146658e-05[/C][C]0.999960119315743[/C][/ROW]
[ROW][C]49[/C][C]0.000174357228598576[/C][C]0.000348714457197152[/C][C]0.999825642771401[/C][/ROW]
[ROW][C]50[/C][C]0.00014382080243336[/C][C]0.000287641604866719[/C][C]0.999856179197567[/C][/ROW]
[ROW][C]51[/C][C]9.51895033093261e-05[/C][C]0.000190379006618652[/C][C]0.999904810496691[/C][/ROW]
[ROW][C]52[/C][C]6.3125179206697e-05[/C][C]0.000126250358413394[/C][C]0.999936874820793[/C][/ROW]
[ROW][C]53[/C][C]4.4357935109047e-05[/C][C]8.87158702180939e-05[/C][C]0.999955642064891[/C][/ROW]
[ROW][C]54[/C][C]4.61594701138065e-05[/C][C]9.23189402276131e-05[/C][C]0.999953840529886[/C][/ROW]
[ROW][C]55[/C][C]5.31699418276177e-05[/C][C]0.000106339883655235[/C][C]0.999946830058172[/C][/ROW]
[ROW][C]56[/C][C]6.65460009807362e-05[/C][C]0.000133092001961472[/C][C]0.999933453999019[/C][/ROW]
[ROW][C]57[/C][C]3.76978624480401e-05[/C][C]7.53957248960802e-05[/C][C]0.999962302137552[/C][/ROW]
[ROW][C]58[/C][C]2.59914485841906e-05[/C][C]5.19828971683812e-05[/C][C]0.999974008551416[/C][/ROW]
[ROW][C]59[/C][C]1.47525609296534e-05[/C][C]2.95051218593069e-05[/C][C]0.99998524743907[/C][/ROW]
[ROW][C]60[/C][C]8.44088135164056e-06[/C][C]1.68817627032811e-05[/C][C]0.999991559118648[/C][/ROW]
[ROW][C]61[/C][C]0.000351733905989073[/C][C]0.000703467811978146[/C][C]0.999648266094011[/C][/ROW]
[ROW][C]62[/C][C]0.000457140499819199[/C][C]0.000914280999638398[/C][C]0.999542859500181[/C][/ROW]
[ROW][C]63[/C][C]0.000623591168844702[/C][C]0.0012471823376894[/C][C]0.999376408831155[/C][/ROW]
[ROW][C]64[/C][C]0.000623240513567422[/C][C]0.00124648102713484[/C][C]0.999376759486433[/C][/ROW]
[ROW][C]65[/C][C]0.000426082146870967[/C][C]0.000852164293741934[/C][C]0.999573917853129[/C][/ROW]
[ROW][C]66[/C][C]0.000422082219451358[/C][C]0.000844164438902716[/C][C]0.999577917780549[/C][/ROW]
[ROW][C]67[/C][C]0.000283262439224631[/C][C]0.000566524878449262[/C][C]0.999716737560775[/C][/ROW]
[ROW][C]68[/C][C]0.000182396831888672[/C][C]0.000364793663777344[/C][C]0.999817603168111[/C][/ROW]
[ROW][C]69[/C][C]0.000231627974987025[/C][C]0.000463255949974049[/C][C]0.999768372025013[/C][/ROW]
[ROW][C]70[/C][C]0.000178608112138488[/C][C]0.000357216224276976[/C][C]0.999821391887862[/C][/ROW]
[ROW][C]71[/C][C]0.000107865454768483[/C][C]0.000215730909536967[/C][C]0.999892134545232[/C][/ROW]
[ROW][C]72[/C][C]7.36295524172138e-05[/C][C]0.000147259104834428[/C][C]0.999926370447583[/C][/ROW]
[ROW][C]73[/C][C]4.32048668296293e-05[/C][C]8.64097336592586e-05[/C][C]0.99995679513317[/C][/ROW]
[ROW][C]74[/C][C]0.00011960780904765[/C][C]0.000239215618095299[/C][C]0.999880392190952[/C][/ROW]
[ROW][C]75[/C][C]0.000156397647995801[/C][C]0.000312795295991602[/C][C]0.999843602352004[/C][/ROW]
[ROW][C]76[/C][C]0.000115769258870302[/C][C]0.000231538517740603[/C][C]0.99988423074113[/C][/ROW]
[ROW][C]77[/C][C]7.49723911826325e-05[/C][C]0.000149944782365265[/C][C]0.999925027608817[/C][/ROW]
[ROW][C]78[/C][C]5.88101399501179e-05[/C][C]0.000117620279900236[/C][C]0.99994118986005[/C][/ROW]
[ROW][C]79[/C][C]3.48878228535755e-05[/C][C]6.97756457071511e-05[/C][C]0.999965112177146[/C][/ROW]
[ROW][C]80[/C][C]2.49066663689606e-05[/C][C]4.98133327379212e-05[/C][C]0.999975093333631[/C][/ROW]
[ROW][C]81[/C][C]1.84899066341075e-05[/C][C]3.69798132682151e-05[/C][C]0.999981510093366[/C][/ROW]
[ROW][C]82[/C][C]1.07743233663281e-05[/C][C]2.15486467326562e-05[/C][C]0.999989225676634[/C][/ROW]
[ROW][C]83[/C][C]7.13071915381947e-06[/C][C]1.42614383076389e-05[/C][C]0.999992869280846[/C][/ROW]
[ROW][C]84[/C][C]4.57943538761714e-06[/C][C]9.15887077523429e-06[/C][C]0.999995420564612[/C][/ROW]
[ROW][C]85[/C][C]2.76834504810514e-06[/C][C]5.53669009621027e-06[/C][C]0.999997231654952[/C][/ROW]
[ROW][C]86[/C][C]3.23318319562684e-06[/C][C]6.46636639125367e-06[/C][C]0.999996766816804[/C][/ROW]
[ROW][C]87[/C][C]5.28066348170451e-06[/C][C]1.0561326963409e-05[/C][C]0.999994719336518[/C][/ROW]
[ROW][C]88[/C][C]3.34163477757585e-06[/C][C]6.68326955515171e-06[/C][C]0.999996658365222[/C][/ROW]
[ROW][C]89[/C][C]2.59786025835542e-06[/C][C]5.19572051671084e-06[/C][C]0.999997402139742[/C][/ROW]
[ROW][C]90[/C][C]3.21489725053695e-06[/C][C]6.4297945010739e-06[/C][C]0.999996785102749[/C][/ROW]
[ROW][C]91[/C][C]3.17261767361645e-06[/C][C]6.34523534723291e-06[/C][C]0.999996827382326[/C][/ROW]
[ROW][C]92[/C][C]3.96137920377853e-06[/C][C]7.92275840755706e-06[/C][C]0.999996038620796[/C][/ROW]
[ROW][C]93[/C][C]2.51951755405449e-06[/C][C]5.03903510810898e-06[/C][C]0.999997480482446[/C][/ROW]
[ROW][C]94[/C][C]1.68852319041293e-06[/C][C]3.37704638082586e-06[/C][C]0.99999831147681[/C][/ROW]
[ROW][C]95[/C][C]1.08969713952143e-06[/C][C]2.17939427904286e-06[/C][C]0.99999891030286[/C][/ROW]
[ROW][C]96[/C][C]6.7561696139477e-07[/C][C]1.35123392278954e-06[/C][C]0.999999324383039[/C][/ROW]
[ROW][C]97[/C][C]4.20085633251944e-07[/C][C]8.40171266503888e-07[/C][C]0.999999579914367[/C][/ROW]
[ROW][C]98[/C][C]2.39384034367239e-07[/C][C]4.78768068734477e-07[/C][C]0.999999760615966[/C][/ROW]
[ROW][C]99[/C][C]1.48974868729118e-07[/C][C]2.97949737458236e-07[/C][C]0.999999851025131[/C][/ROW]
[ROW][C]100[/C][C]8.73995207075915e-08[/C][C]1.74799041415183e-07[/C][C]0.999999912600479[/C][/ROW]
[ROW][C]101[/C][C]6.86125351496798e-08[/C][C]1.3722507029936e-07[/C][C]0.999999931387465[/C][/ROW]
[ROW][C]102[/C][C]6.59206067976372e-08[/C][C]1.31841213595274e-07[/C][C]0.999999934079393[/C][/ROW]
[ROW][C]103[/C][C]7.73712792239832e-08[/C][C]1.54742558447966e-07[/C][C]0.999999922628721[/C][/ROW]
[ROW][C]104[/C][C]1.48816331354254e-07[/C][C]2.97632662708509e-07[/C][C]0.999999851183669[/C][/ROW]
[ROW][C]105[/C][C]2.30965798632368e-07[/C][C]4.61931597264735e-07[/C][C]0.999999769034201[/C][/ROW]
[ROW][C]106[/C][C]4.22015270405813e-07[/C][C]8.44030540811626e-07[/C][C]0.99999957798473[/C][/ROW]
[ROW][C]107[/C][C]9.94050148728116e-07[/C][C]1.98810029745623e-06[/C][C]0.999999005949851[/C][/ROW]
[ROW][C]108[/C][C]7.28182347497824e-07[/C][C]1.45636469499565e-06[/C][C]0.999999271817652[/C][/ROW]
[ROW][C]109[/C][C]1.65514312046865e-06[/C][C]3.3102862409373e-06[/C][C]0.99999834485688[/C][/ROW]
[ROW][C]110[/C][C]1.3567366183008e-06[/C][C]2.7134732366016e-06[/C][C]0.999998643263382[/C][/ROW]
[ROW][C]111[/C][C]8.08882499682179e-07[/C][C]1.61776499936436e-06[/C][C]0.9999991911175[/C][/ROW]
[ROW][C]112[/C][C]1.63893148931833e-06[/C][C]3.27786297863666e-06[/C][C]0.999998361068511[/C][/ROW]
[ROW][C]113[/C][C]1.08424599441635e-06[/C][C]2.16849198883271e-06[/C][C]0.999998915754006[/C][/ROW]
[ROW][C]114[/C][C]1.26297962739016e-06[/C][C]2.52595925478032e-06[/C][C]0.999998737020373[/C][/ROW]
[ROW][C]115[/C][C]1.24806634616447e-06[/C][C]2.49613269232893e-06[/C][C]0.999998751933654[/C][/ROW]
[ROW][C]116[/C][C]8.45061874020455e-07[/C][C]1.69012374804091e-06[/C][C]0.999999154938126[/C][/ROW]
[ROW][C]117[/C][C]1.16202768060956e-06[/C][C]2.32405536121913e-06[/C][C]0.999998837972319[/C][/ROW]
[ROW][C]118[/C][C]6.70628532326706e-07[/C][C]1.34125706465341e-06[/C][C]0.999999329371468[/C][/ROW]
[ROW][C]119[/C][C]4.73737300455378e-07[/C][C]9.47474600910757e-07[/C][C]0.9999995262627[/C][/ROW]
[ROW][C]120[/C][C]1.08743858904846e-06[/C][C]2.17487717809693e-06[/C][C]0.999998912561411[/C][/ROW]
[ROW][C]121[/C][C]6.79344701073909e-06[/C][C]1.35868940214782e-05[/C][C]0.999993206552989[/C][/ROW]
[ROW][C]122[/C][C]1.71457078479774e-05[/C][C]3.42914156959549e-05[/C][C]0.999982854292152[/C][/ROW]
[ROW][C]123[/C][C]1.09449489616585e-05[/C][C]2.1889897923317e-05[/C][C]0.999989055051038[/C][/ROW]
[ROW][C]124[/C][C]7.51177962875505e-06[/C][C]1.50235592575101e-05[/C][C]0.999992488220371[/C][/ROW]
[ROW][C]125[/C][C]5.28316847698427e-06[/C][C]1.05663369539685e-05[/C][C]0.999994716831523[/C][/ROW]
[ROW][C]126[/C][C]5.53158519794285e-06[/C][C]1.10631703958857e-05[/C][C]0.999994468414802[/C][/ROW]
[ROW][C]127[/C][C]1.11080908746391e-05[/C][C]2.22161817492782e-05[/C][C]0.999988891909125[/C][/ROW]
[ROW][C]128[/C][C]0.000146256948726683[/C][C]0.000292513897453366[/C][C]0.999853743051273[/C][/ROW]
[ROW][C]129[/C][C]0.000382555513316942[/C][C]0.000765111026633884[/C][C]0.999617444486683[/C][/ROW]
[ROW][C]130[/C][C]0.000487416603673614[/C][C]0.000974833207347227[/C][C]0.999512583396326[/C][/ROW]
[ROW][C]131[/C][C]0.000501867336901195[/C][C]0.00100373467380239[/C][C]0.999498132663099[/C][/ROW]
[ROW][C]132[/C][C]0.000343465090323703[/C][C]0.000686930180647406[/C][C]0.999656534909676[/C][/ROW]
[ROW][C]133[/C][C]0.000307967099176976[/C][C]0.000615934198353953[/C][C]0.999692032900823[/C][/ROW]
[ROW][C]134[/C][C]0.00138302436886632[/C][C]0.00276604873773264[/C][C]0.998616975631134[/C][/ROW]
[ROW][C]135[/C][C]0.00160607038706799[/C][C]0.00321214077413598[/C][C]0.998393929612932[/C][/ROW]
[ROW][C]136[/C][C]0.00156328405630782[/C][C]0.00312656811261563[/C][C]0.998436715943692[/C][/ROW]
[ROW][C]137[/C][C]0.00168985236040127[/C][C]0.00337970472080254[/C][C]0.998310147639599[/C][/ROW]
[ROW][C]138[/C][C]0.00173572946514703[/C][C]0.00347145893029406[/C][C]0.998264270534853[/C][/ROW]
[ROW][C]139[/C][C]0.00117249538603319[/C][C]0.00234499077206639[/C][C]0.998827504613967[/C][/ROW]
[ROW][C]140[/C][C]0.00145352437798206[/C][C]0.00290704875596411[/C][C]0.998546475622018[/C][/ROW]
[ROW][C]141[/C][C]0.00122873037712126[/C][C]0.00245746075424253[/C][C]0.998771269622879[/C][/ROW]
[ROW][C]142[/C][C]0.00156403517941341[/C][C]0.00312807035882683[/C][C]0.998435964820587[/C][/ROW]
[ROW][C]143[/C][C]0.0013145298761456[/C][C]0.00262905975229121[/C][C]0.998685470123854[/C][/ROW]
[ROW][C]144[/C][C]0.00451619236312105[/C][C]0.0090323847262421[/C][C]0.995483807636879[/C][/ROW]
[ROW][C]145[/C][C]0.0039202657381241[/C][C]0.00784053147624821[/C][C]0.996079734261876[/C][/ROW]
[ROW][C]146[/C][C]0.00301648905052859[/C][C]0.00603297810105719[/C][C]0.996983510949471[/C][/ROW]
[ROW][C]147[/C][C]0.00214546374398691[/C][C]0.00429092748797381[/C][C]0.997854536256013[/C][/ROW]
[ROW][C]148[/C][C]0.00138352794011793[/C][C]0.00276705588023586[/C][C]0.998616472059882[/C][/ROW]
[ROW][C]149[/C][C]0.00139900017053645[/C][C]0.0027980003410729[/C][C]0.998600999829464[/C][/ROW]
[ROW][C]150[/C][C]0.000927437125194957[/C][C]0.00185487425038991[/C][C]0.999072562874805[/C][/ROW]
[ROW][C]151[/C][C]0.000869115627808293[/C][C]0.00173823125561659[/C][C]0.999130884372192[/C][/ROW]
[ROW][C]152[/C][C]0.00638517819022071[/C][C]0.0127703563804414[/C][C]0.993614821809779[/C][/ROW]
[ROW][C]153[/C][C]0.034276978435074[/C][C]0.0685539568701481[/C][C]0.965723021564926[/C][/ROW]
[ROW][C]154[/C][C]0.0305367932706651[/C][C]0.0610735865413302[/C][C]0.969463206729335[/C][/ROW]
[ROW][C]155[/C][C]0.0258451388042914[/C][C]0.0516902776085829[/C][C]0.974154861195709[/C][/ROW]
[ROW][C]156[/C][C]0.0192208312765062[/C][C]0.0384416625530124[/C][C]0.980779168723494[/C][/ROW]
[ROW][C]157[/C][C]0.0890786168757548[/C][C]0.17815723375151[/C][C]0.910921383124245[/C][/ROW]
[ROW][C]158[/C][C]0.084252125925202[/C][C]0.168504251850404[/C][C]0.915747874074798[/C][/ROW]
[ROW][C]159[/C][C]0.287358013915675[/C][C]0.57471602783135[/C][C]0.712641986084325[/C][/ROW]
[ROW][C]160[/C][C]0.22636671370878[/C][C]0.45273342741756[/C][C]0.77363328629122[/C][/ROW]
[ROW][C]161[/C][C]0.169916310239824[/C][C]0.339832620479647[/C][C]0.830083689760176[/C][/ROW]
[ROW][C]162[/C][C]0.129257172158523[/C][C]0.258514344317046[/C][C]0.870742827841477[/C][/ROW]
[ROW][C]163[/C][C]0.147854324475747[/C][C]0.295708648951495[/C][C]0.852145675524253[/C][/ROW]
[ROW][C]164[/C][C]0.31612480933141[/C][C]0.63224961866282[/C][C]0.68387519066859[/C][/ROW]
[ROW][C]165[/C][C]0.425347955180238[/C][C]0.850695910360476[/C][C]0.574652044819762[/C][/ROW]
[ROW][C]166[/C][C]0.520867598235903[/C][C]0.958264803528195[/C][C]0.479132401764097[/C][/ROW]
[ROW][C]167[/C][C]0.901751820461749[/C][C]0.196496359076502[/C][C]0.0982481795382508[/C][/ROW]
[ROW][C]168[/C][C]0.945003296040212[/C][C]0.109993407919576[/C][C]0.0549967039597881[/C][/ROW]
[ROW][C]169[/C][C]0.962954286646621[/C][C]0.0740914267067586[/C][C]0.0370457133533793[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=231281&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=231281&T=5

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


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

Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
261.81438409223026e-533.62876818446051e-531
273.49728905007942e-656.99457810015884e-651
289.1236837078931e-781.82473674157862e-771
293.41666743996561e-946.83333487993122e-941
304.41969755118974e-1108.83939510237949e-1101
310.0002546253124081160.0005092506248162320.999745374687592
326.62847257117535e-050.0001325694514235070.999933715274288
331.63454964878992e-053.26909929757984e-050.999983654503512
344.92124377020976e-069.84248754041953e-060.99999507875623
351.49305328851475e-062.98610657702949e-060.999998506946711
363.66378070811956e-077.32756141623913e-070.999999633621929
375.20394264220825e-050.0001040788528441650.999947960573578
382.99680905954555e-055.99361811909109e-050.999970031909405
390.0005278444860113280.001055688972022660.999472155513989
400.0008676116323210030.001735223264642010.999132388367679
410.001089026970569790.002178053941139580.99891097302943
420.0006345594457309970.001269118891461990.999365440554269
430.0003910895155717790.0007821790311435580.999608910484428
440.00021886814440030.00043773628880060.9997811318556
450.000101993548534080.0002039870970681610.999898006451466
465.0069176796768e-050.0001001383535935360.999949930823203
472.99691616848407e-055.99383233696813e-050.999970030838315
483.98806842573329e-057.97613685146658e-050.999960119315743
490.0001743572285985760.0003487144571971520.999825642771401
500.000143820802433360.0002876416048667190.999856179197567
519.51895033093261e-050.0001903790066186520.999904810496691
526.3125179206697e-050.0001262503584133940.999936874820793
534.4357935109047e-058.87158702180939e-050.999955642064891
544.61594701138065e-059.23189402276131e-050.999953840529886
555.31699418276177e-050.0001063398836552350.999946830058172
566.65460009807362e-050.0001330920019614720.999933453999019
573.76978624480401e-057.53957248960802e-050.999962302137552
582.59914485841906e-055.19828971683812e-050.999974008551416
591.47525609296534e-052.95051218593069e-050.99998524743907
608.44088135164056e-061.68817627032811e-050.999991559118648
610.0003517339059890730.0007034678119781460.999648266094011
620.0004571404998191990.0009142809996383980.999542859500181
630.0006235911688447020.00124718233768940.999376408831155
640.0006232405135674220.001246481027134840.999376759486433
650.0004260821468709670.0008521642937419340.999573917853129
660.0004220822194513580.0008441644389027160.999577917780549
670.0002832624392246310.0005665248784492620.999716737560775
680.0001823968318886720.0003647936637773440.999817603168111
690.0002316279749870250.0004632559499740490.999768372025013
700.0001786081121384880.0003572162242769760.999821391887862
710.0001078654547684830.0002157309095369670.999892134545232
727.36295524172138e-050.0001472591048344280.999926370447583
734.32048668296293e-058.64097336592586e-050.99995679513317
740.000119607809047650.0002392156180952990.999880392190952
750.0001563976479958010.0003127952959916020.999843602352004
760.0001157692588703020.0002315385177406030.99988423074113
777.49723911826325e-050.0001499447823652650.999925027608817
785.88101399501179e-050.0001176202799002360.99994118986005
793.48878228535755e-056.97756457071511e-050.999965112177146
802.49066663689606e-054.98133327379212e-050.999975093333631
811.84899066341075e-053.69798132682151e-050.999981510093366
821.07743233663281e-052.15486467326562e-050.999989225676634
837.13071915381947e-061.42614383076389e-050.999992869280846
844.57943538761714e-069.15887077523429e-060.999995420564612
852.76834504810514e-065.53669009621027e-060.999997231654952
863.23318319562684e-066.46636639125367e-060.999996766816804
875.28066348170451e-061.0561326963409e-050.999994719336518
883.34163477757585e-066.68326955515171e-060.999996658365222
892.59786025835542e-065.19572051671084e-060.999997402139742
903.21489725053695e-066.4297945010739e-060.999996785102749
913.17261767361645e-066.34523534723291e-060.999996827382326
923.96137920377853e-067.92275840755706e-060.999996038620796
932.51951755405449e-065.03903510810898e-060.999997480482446
941.68852319041293e-063.37704638082586e-060.99999831147681
951.08969713952143e-062.17939427904286e-060.99999891030286
966.7561696139477e-071.35123392278954e-060.999999324383039
974.20085633251944e-078.40171266503888e-070.999999579914367
982.39384034367239e-074.78768068734477e-070.999999760615966
991.48974868729118e-072.97949737458236e-070.999999851025131
1008.73995207075915e-081.74799041415183e-070.999999912600479
1016.86125351496798e-081.3722507029936e-070.999999931387465
1026.59206067976372e-081.31841213595274e-070.999999934079393
1037.73712792239832e-081.54742558447966e-070.999999922628721
1041.48816331354254e-072.97632662708509e-070.999999851183669
1052.30965798632368e-074.61931597264735e-070.999999769034201
1064.22015270405813e-078.44030540811626e-070.99999957798473
1079.94050148728116e-071.98810029745623e-060.999999005949851
1087.28182347497824e-071.45636469499565e-060.999999271817652
1091.65514312046865e-063.3102862409373e-060.99999834485688
1101.3567366183008e-062.7134732366016e-060.999998643263382
1118.08882499682179e-071.61776499936436e-060.9999991911175
1121.63893148931833e-063.27786297863666e-060.999998361068511
1131.08424599441635e-062.16849198883271e-060.999998915754006
1141.26297962739016e-062.52595925478032e-060.999998737020373
1151.24806634616447e-062.49613269232893e-060.999998751933654
1168.45061874020455e-071.69012374804091e-060.999999154938126
1171.16202768060956e-062.32405536121913e-060.999998837972319
1186.70628532326706e-071.34125706465341e-060.999999329371468
1194.73737300455378e-079.47474600910757e-070.9999995262627
1201.08743858904846e-062.17487717809693e-060.999998912561411
1216.79344701073909e-061.35868940214782e-050.999993206552989
1221.71457078479774e-053.42914156959549e-050.999982854292152
1231.09449489616585e-052.1889897923317e-050.999989055051038
1247.51177962875505e-061.50235592575101e-050.999992488220371
1255.28316847698427e-061.05663369539685e-050.999994716831523
1265.53158519794285e-061.10631703958857e-050.999994468414802
1271.11080908746391e-052.22161817492782e-050.999988891909125
1280.0001462569487266830.0002925138974533660.999853743051273
1290.0003825555133169420.0007651110266338840.999617444486683
1300.0004874166036736140.0009748332073472270.999512583396326
1310.0005018673369011950.001003734673802390.999498132663099
1320.0003434650903237030.0006869301806474060.999656534909676
1330.0003079670991769760.0006159341983539530.999692032900823
1340.001383024368866320.002766048737732640.998616975631134
1350.001606070387067990.003212140774135980.998393929612932
1360.001563284056307820.003126568112615630.998436715943692
1370.001689852360401270.003379704720802540.998310147639599
1380.001735729465147030.003471458930294060.998264270534853
1390.001172495386033190.002344990772066390.998827504613967
1400.001453524377982060.002907048755964110.998546475622018
1410.001228730377121260.002457460754242530.998771269622879
1420.001564035179413410.003128070358826830.998435964820587
1430.00131452987614560.002629059752291210.998685470123854
1440.004516192363121050.00903238472624210.995483807636879
1450.00392026573812410.007840531476248210.996079734261876
1460.003016489050528590.006032978101057190.996983510949471
1470.002145463743986910.004290927487973810.997854536256013
1480.001383527940117930.002767055880235860.998616472059882
1490.001399000170536450.00279800034107290.998600999829464
1500.0009274371251949570.001854874250389910.999072562874805
1510.0008691156278082930.001738231255616590.999130884372192
1520.006385178190220710.01277035638044140.993614821809779
1530.0342769784350740.06855395687014810.965723021564926
1540.03053679327066510.06107358654133020.969463206729335
1550.02584513880429140.05169027760858290.974154861195709
1560.01922083127650620.03844166255301240.980779168723494
1570.08907861687575480.178157233751510.910921383124245
1580.0842521259252020.1685042518504040.915747874074798
1590.2873580139156750.574716027831350.712641986084325
1600.226366713708780.452733427417560.77363328629122
1610.1699163102398240.3398326204796470.830083689760176
1620.1292571721585230.2585143443170460.870742827841477
1630.1478543244757470.2957086489514950.852145675524253
1640.316124809331410.632249618662820.68387519066859
1650.4253479551802380.8506959103604760.574652044819762
1660.5208675982359030.9582648035281950.479132401764097
1670.9017518204617490.1964963590765020.0982481795382508
1680.9450032960402120.1099934079195760.0549967039597881
1690.9629542866466210.07409142670675860.0370457133533793






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level1260.875NOK
5% type I error level1280.888888888888889NOK
10% type I error level1320.916666666666667NOK

\begin{tabular}{lllllllll}
\hline
Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
Description & # significant tests & % significant tests & OK/NOK \tabularnewline
1% type I error level & 126 & 0.875 & NOK \tabularnewline
5% type I error level & 128 & 0.888888888888889 & NOK \tabularnewline
10% type I error level & 132 & 0.916666666666667 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=231281&T=6

[TABLE]
[ROW][C]Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity[/C][/ROW]
[ROW][C]Description[/C][C]# significant tests[/C][C]% significant tests[/C][C]OK/NOK[/C][/ROW]
[ROW][C]1% type I error level[/C][C]126[/C][C]0.875[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]128[/C][C]0.888888888888889[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]132[/C][C]0.916666666666667[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=231281&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=231281&T=6

As an alternative you can also use a QR Code:  
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 testsOK/NOK
1% type I error level1260.875NOK
5% type I error level1280.888888888888889NOK
10% type I error level1320.916666666666667NOK


Figures (Output of Computation)

Figure 1
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Figure 2
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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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Input Parameters & R Code

Parameters (Session):
par1 = 17 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;
Parameters (R input):
par1 = 17 ; 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$coefficients[i,1] > 0) myeq <- paste(myeq, '+', '')
myeq <- paste(myeq, mysum$coefficients[i,1], 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,mysum$coefficients[i,1])
a<-table.element(a, round(mysum$coefficients[i,2],6))
a<-table.element(a, round(mysum$coefficients[i,3],4))
a<-table.element(a, round(mysum$coefficients[i,4],6))
a<-table.element(a, round(mysum$coefficients[i,4]/2,6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable2.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Regression Statistics', 2, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Multiple R',1,TRUE)
a<-table.element(a, sqrt(mysum$r.squared))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'R-squared',1,TRUE)
a<-table.element(a, mysum$r.squared)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Adjusted R-squared',1,TRUE)
a<-table.element(a, mysum$adj.r.squared)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (value)',1,TRUE)
a<-table.element(a, mysum$fstatistic[1])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (DF numerator)',1,TRUE)
a<-table.element(a, mysum$fstatistic[2])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (DF denominator)',1,TRUE)
a<-table.element(a, mysum$fstatistic[3])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'p-value',1,TRUE)
a<-table.element(a, 1-pf(mysum$fstatistic[1],mysum$fstatistic[2],mysum$fstatistic[3]))
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, mysum$sigma)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Sum Squared Residuals',1,TRUE)
a<-table.element(a, sum(myerror*myerror))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable3.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Actuals, Interpolation, and Residuals', 4, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Time or Index', 1, TRUE)
a<-table.element(a, 'Actuals', 1, TRUE)
a<-table.element(a, 'Interpolation
Forecast', 1, TRUE)
a<-table.element(a, 'Residuals
Prediction Error', 1, TRUE)
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,i, 1, TRUE)
a<-table.element(a,x[i])
a<-table.element(a,x[i]-mysum$resid[i])
a<-table.element(a,mysum$resid[i])
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,gqarr[mypoint-kp3+1,1])
a<-table.element(a,gqarr[mypoint-kp3+1,2])
a<-table.element(a,gqarr[mypoint-kp3+1,3])
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,numsignificant1)
a<-table.element(a,numsignificant1/numgqtests)
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,numsignificant5)
a<-table.element(a,numsignificant5/numgqtests)
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,numsignificant10)
a<-table.element(a,numsignificant10/numgqtests)
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')
}