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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 computationSun, 08 Dec 2013 06:58:12 -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/08/t1386504324yb13wssj0bm5ml4.htm/, Retrieved Sat, 20 Apr 2024 09:38:24 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=231432, Retrieved Sat, 20 Apr 2024 09:38:24 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact121

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Multiple Regression] [] [2013-12-08 11:58:12] [dbceeb23fcf622ba260f793fe955ad62] [Current]
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Dataset

Dataseries X:
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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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 time35 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 & 35 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=231432&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]35 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=231432&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=231432&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 time35 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net






Multiple Linear Regression - Estimated Regression Equation
status[t] = + 5.12276 -0.0045936`MDVP:Fo(Hz)`[t] -3.02269e-05`MDVP:Fhi(Hz)`[t] -0.00129714`MDVP:Flo(Hz)`[t] -180.78`MDVP:Jitter(%)`[t] -9326.53`MDVP:Jitter(Abs)`[t] -229.841`MDVP:RAP`[t] -42.3074`MDVP:PPQ`[t] + 199.492`Jitter:DDP`[t] + 16.6868`MDVP:Shimmer`[t] + 1.18384`MDVP:Shimmer(dB)`[t] -400.232`Shimmer:APQ3`[t] -19.5311`Shimmer:APQ5`[t] -5.85035`MDVP:APQ`[t] + 126.259`Shimmer:DDA`[t] -0.0381961HNR[t] -1.33848RPDE[t] -0.280596DFA[t] + 0.235789spread1[t] + 1.21599spread2[t] -0.0340908D2[t] + 0.189079PPE[t] -0.00239058t + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
status[t] =  +  5.12276 -0.0045936`MDVP:Fo(Hz)`[t] -3.02269e-05`MDVP:Fhi(Hz)`[t] -0.00129714`MDVP:Flo(Hz)`[t] -180.78`MDVP:Jitter(%)`[t] -9326.53`MDVP:Jitter(Abs)`[t] -229.841`MDVP:RAP`[t] -42.3074`MDVP:PPQ`[t] +  199.492`Jitter:DDP`[t] +  16.6868`MDVP:Shimmer`[t] +  1.18384`MDVP:Shimmer(dB)`[t] -400.232`Shimmer:APQ3`[t] -19.5311`Shimmer:APQ5`[t] -5.85035`MDVP:APQ`[t] +  126.259`Shimmer:DDA`[t] -0.0381961HNR[t] -1.33848RPDE[t] -0.280596DFA[t] +  0.235789spread1[t] +  1.21599spread2[t] -0.0340908D2[t] +  0.189079PPE[t] -0.00239058t  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=231432&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]status[t] =  +  5.12276 -0.0045936`MDVP:Fo(Hz)`[t] -3.02269e-05`MDVP:Fhi(Hz)`[t] -0.00129714`MDVP:Flo(Hz)`[t] -180.78`MDVP:Jitter(%)`[t] -9326.53`MDVP:Jitter(Abs)`[t] -229.841`MDVP:RAP`[t] -42.3074`MDVP:PPQ`[t] +  199.492`Jitter:DDP`[t] +  16.6868`MDVP:Shimmer`[t] +  1.18384`MDVP:Shimmer(dB)`[t] -400.232`Shimmer:APQ3`[t] -19.5311`Shimmer:APQ5`[t] -5.85035`MDVP:APQ`[t] +  126.259`Shimmer:DDA`[t] -0.0381961HNR[t] -1.33848RPDE[t] -0.280596DFA[t] +  0.235789spread1[t] +  1.21599spread2[t] -0.0340908D2[t] +  0.189079PPE[t] -0.00239058t  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=231432&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=231432&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] = + 5.12276 -0.0045936`MDVP:Fo(Hz)`[t] -3.02269e-05`MDVP:Fhi(Hz)`[t] -0.00129714`MDVP:Flo(Hz)`[t] -180.78`MDVP:Jitter(%)`[t] -9326.53`MDVP:Jitter(Abs)`[t] -229.841`MDVP:RAP`[t] -42.3074`MDVP:PPQ`[t] + 199.492`Jitter:DDP`[t] + 16.6868`MDVP:Shimmer`[t] + 1.18384`MDVP:Shimmer(dB)`[t] -400.232`Shimmer:APQ3`[t] -19.5311`Shimmer:APQ5`[t] -5.85035`MDVP:APQ`[t] + 126.259`Shimmer:DDA`[t] -0.0381961HNR[t] -1.33848RPDE[t] -0.280596DFA[t] + 0.235789spread1[t] + 1.21599spread2[t] -0.0340908D2[t] + 0.189079PPE[t] -0.00239058t + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)5.122761.281833.9969.52386e-054.76193e-05
`MDVP:Fo(Hz)`-0.00459360.00152006-3.0220.002895010.0014475
`MDVP:Fhi(Hz)`-3.02269e-050.000304384-0.099310.9210120.460506
`MDVP:Flo(Hz)`-0.001297140.000763311-1.6990.09105820.0455291
`MDVP:Jitter(%)`-180.7863.0351-2.8680.004649050.00232452
`MDVP:Jitter(Abs)`-9326.534576.35-2.0380.04308330.0215416
`MDVP:RAP`-229.8418841.72-0.0260.9792910.489646
`MDVP:PPQ`-42.307483.123-0.5090.6114230.305712
`Jitter:DDP`199.4922947.680.067680.9461210.47306
`MDVP:Shimmer`16.686832.5390.51280.6087320.304366
`MDVP:Shimmer(dB)`1.183841.147211.0320.3035540.151777
`Shimmer:APQ3`-400.2328516.65-0.046990.9625720.481286
`Shimmer:APQ5`-19.531119.1433-1.020.3090390.15452
`MDVP:APQ`-5.8503510.2856-0.56880.570240.28512
`Shimmer:DDA`126.2592838.120.044490.9645680.482284
HNR-0.03819610.0145799-2.620.009585260.00479263
RPDE-1.338480.423971-3.1570.001882540.000941272
DFA-0.2805960.685237-0.40950.6826910.341345
spread10.2357890.09331232.5270.01241010.00620506
spread21.215990.4477692.7160.007289260.00364463
D2-0.03409080.109363-0.31170.7556280.377814
PPE0.1890791.333750.14180.8874320.443716
t-0.002390580.000527685-4.531.09795e-055.48975e-06

\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) & 5.12276 & 1.28183 & 3.996 & 9.52386e-05 & 4.76193e-05 \tabularnewline
`MDVP:Fo(Hz)` & -0.0045936 & 0.00152006 & -3.022 & 0.00289501 & 0.0014475 \tabularnewline
`MDVP:Fhi(Hz)` & -3.02269e-05 & 0.000304384 & -0.09931 & 0.921012 & 0.460506 \tabularnewline
`MDVP:Flo(Hz)` & -0.00129714 & 0.000763311 & -1.699 & 0.0910582 & 0.0455291 \tabularnewline
`MDVP:Jitter(%)` & -180.78 & 63.0351 & -2.868 & 0.00464905 & 0.00232452 \tabularnewline
`MDVP:Jitter(Abs)` & -9326.53 & 4576.35 & -2.038 & 0.0430833 & 0.0215416 \tabularnewline
`MDVP:RAP` & -229.841 & 8841.72 & -0.026 & 0.979291 & 0.489646 \tabularnewline
`MDVP:PPQ` & -42.3074 & 83.123 & -0.509 & 0.611423 & 0.305712 \tabularnewline
`Jitter:DDP` & 199.492 & 2947.68 & 0.06768 & 0.946121 & 0.47306 \tabularnewline
`MDVP:Shimmer` & 16.6868 & 32.539 & 0.5128 & 0.608732 & 0.304366 \tabularnewline
`MDVP:Shimmer(dB)` & 1.18384 & 1.14721 & 1.032 & 0.303554 & 0.151777 \tabularnewline
`Shimmer:APQ3` & -400.232 & 8516.65 & -0.04699 & 0.962572 & 0.481286 \tabularnewline
`Shimmer:APQ5` & -19.5311 & 19.1433 & -1.02 & 0.309039 & 0.15452 \tabularnewline
`MDVP:APQ` & -5.85035 & 10.2856 & -0.5688 & 0.57024 & 0.28512 \tabularnewline
`Shimmer:DDA` & 126.259 & 2838.12 & 0.04449 & 0.964568 & 0.482284 \tabularnewline
HNR & -0.0381961 & 0.0145799 & -2.62 & 0.00958526 & 0.00479263 \tabularnewline
RPDE & -1.33848 & 0.423971 & -3.157 & 0.00188254 & 0.000941272 \tabularnewline
DFA & -0.280596 & 0.685237 & -0.4095 & 0.682691 & 0.341345 \tabularnewline
spread1 & 0.235789 & 0.0933123 & 2.527 & 0.0124101 & 0.00620506 \tabularnewline
spread2 & 1.21599 & 0.447769 & 2.716 & 0.00728926 & 0.00364463 \tabularnewline
D2 & -0.0340908 & 0.109363 & -0.3117 & 0.755628 & 0.377814 \tabularnewline
PPE & 0.189079 & 1.33375 & 0.1418 & 0.887432 & 0.443716 \tabularnewline
t & -0.00239058 & 0.000527685 & -4.53 & 1.09795e-05 & 5.48975e-06 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=231432&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]5.12276[/C][C]1.28183[/C][C]3.996[/C][C]9.52386e-05[/C][C]4.76193e-05[/C][/ROW]
[ROW][C]`MDVP:Fo(Hz)`[/C][C]-0.0045936[/C][C]0.00152006[/C][C]-3.022[/C][C]0.00289501[/C][C]0.0014475[/C][/ROW]
[ROW][C]`MDVP:Fhi(Hz)`[/C][C]-3.02269e-05[/C][C]0.000304384[/C][C]-0.09931[/C][C]0.921012[/C][C]0.460506[/C][/ROW]
[ROW][C]`MDVP:Flo(Hz)`[/C][C]-0.00129714[/C][C]0.000763311[/C][C]-1.699[/C][C]0.0910582[/C][C]0.0455291[/C][/ROW]
[ROW][C]`MDVP:Jitter(%)`[/C][C]-180.78[/C][C]63.0351[/C][C]-2.868[/C][C]0.00464905[/C][C]0.00232452[/C][/ROW]
[ROW][C]`MDVP:Jitter(Abs)`[/C][C]-9326.53[/C][C]4576.35[/C][C]-2.038[/C][C]0.0430833[/C][C]0.0215416[/C][/ROW]
[ROW][C]`MDVP:RAP`[/C][C]-229.841[/C][C]8841.72[/C][C]-0.026[/C][C]0.979291[/C][C]0.489646[/C][/ROW]
[ROW][C]`MDVP:PPQ`[/C][C]-42.3074[/C][C]83.123[/C][C]-0.509[/C][C]0.611423[/C][C]0.305712[/C][/ROW]
[ROW][C]`Jitter:DDP`[/C][C]199.492[/C][C]2947.68[/C][C]0.06768[/C][C]0.946121[/C][C]0.47306[/C][/ROW]
[ROW][C]`MDVP:Shimmer`[/C][C]16.6868[/C][C]32.539[/C][C]0.5128[/C][C]0.608732[/C][C]0.304366[/C][/ROW]
[ROW][C]`MDVP:Shimmer(dB)`[/C][C]1.18384[/C][C]1.14721[/C][C]1.032[/C][C]0.303554[/C][C]0.151777[/C][/ROW]
[ROW][C]`Shimmer:APQ3`[/C][C]-400.232[/C][C]8516.65[/C][C]-0.04699[/C][C]0.962572[/C][C]0.481286[/C][/ROW]
[ROW][C]`Shimmer:APQ5`[/C][C]-19.5311[/C][C]19.1433[/C][C]-1.02[/C][C]0.309039[/C][C]0.15452[/C][/ROW]
[ROW][C]`MDVP:APQ`[/C][C]-5.85035[/C][C]10.2856[/C][C]-0.5688[/C][C]0.57024[/C][C]0.28512[/C][/ROW]
[ROW][C]`Shimmer:DDA`[/C][C]126.259[/C][C]2838.12[/C][C]0.04449[/C][C]0.964568[/C][C]0.482284[/C][/ROW]
[ROW][C]HNR[/C][C]-0.0381961[/C][C]0.0145799[/C][C]-2.62[/C][C]0.00958526[/C][C]0.00479263[/C][/ROW]
[ROW][C]RPDE[/C][C]-1.33848[/C][C]0.423971[/C][C]-3.157[/C][C]0.00188254[/C][C]0.000941272[/C][/ROW]
[ROW][C]DFA[/C][C]-0.280596[/C][C]0.685237[/C][C]-0.4095[/C][C]0.682691[/C][C]0.341345[/C][/ROW]
[ROW][C]spread1[/C][C]0.235789[/C][C]0.0933123[/C][C]2.527[/C][C]0.0124101[/C][C]0.00620506[/C][/ROW]
[ROW][C]spread2[/C][C]1.21599[/C][C]0.447769[/C][C]2.716[/C][C]0.00728926[/C][C]0.00364463[/C][/ROW]
[ROW][C]D2[/C][C]-0.0340908[/C][C]0.109363[/C][C]-0.3117[/C][C]0.755628[/C][C]0.377814[/C][/ROW]
[ROW][C]PPE[/C][C]0.189079[/C][C]1.33375[/C][C]0.1418[/C][C]0.887432[/C][C]0.443716[/C][/ROW]
[ROW][C]t[/C][C]-0.00239058[/C][C]0.000527685[/C][C]-4.53[/C][C]1.09795e-05[/C][C]5.48975e-06[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=231432&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=231432&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)5.122761.281833.9969.52386e-054.76193e-05
`MDVP:Fo(Hz)`-0.00459360.00152006-3.0220.002895010.0014475
`MDVP:Fhi(Hz)`-3.02269e-050.000304384-0.099310.9210120.460506
`MDVP:Flo(Hz)`-0.001297140.000763311-1.6990.09105820.0455291
`MDVP:Jitter(%)`-180.7863.0351-2.8680.004649050.00232452
`MDVP:Jitter(Abs)`-9326.534576.35-2.0380.04308330.0215416
`MDVP:RAP`-229.8418841.72-0.0260.9792910.489646
`MDVP:PPQ`-42.307483.123-0.5090.6114230.305712
`Jitter:DDP`199.4922947.680.067680.9461210.47306
`MDVP:Shimmer`16.686832.5390.51280.6087320.304366
`MDVP:Shimmer(dB)`1.183841.147211.0320.3035540.151777
`Shimmer:APQ3`-400.2328516.65-0.046990.9625720.481286
`Shimmer:APQ5`-19.531119.1433-1.020.3090390.15452
`MDVP:APQ`-5.8503510.2856-0.56880.570240.28512
`Shimmer:DDA`126.2592838.120.044490.9645680.482284
HNR-0.03819610.0145799-2.620.009585260.00479263
RPDE-1.338480.423971-3.1570.001882540.000941272
DFA-0.2805960.685237-0.40950.6826910.341345
spread10.2357890.09331232.5270.01241010.00620506
spread21.215990.4477692.7160.007289260.00364463
D2-0.03409080.109363-0.31170.7556280.377814
PPE0.1890791.333750.14180.8874320.443716
t-0.002390580.000527685-4.531.09795e-055.48975e-06






Multiple Linear Regression - Regression Statistics
Multiple R0.736569
R-squared0.542535
Adjusted R-squared0.484022
F-TEST (value)9.27203
F-TEST (DF numerator)22
F-TEST (DF denominator)172
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.310225
Sum Squared Residuals16.5532

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.736569 \tabularnewline
R-squared & 0.542535 \tabularnewline
Adjusted R-squared & 0.484022 \tabularnewline
F-TEST (value) & 9.27203 \tabularnewline
F-TEST (DF numerator) & 22 \tabularnewline
F-TEST (DF denominator) & 172 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 0.310225 \tabularnewline
Sum Squared Residuals & 16.5532 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=231432&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.736569[/C][/ROW]
[ROW][C]R-squared[/C][C]0.542535[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.484022[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]9.27203[/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]0[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]0.310225[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]16.5532[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=231432&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=231432&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 R0.736569
R-squared0.542535
Adjusted R-squared0.484022
F-TEST (value)9.27203
F-TEST (DF numerator)22
F-TEST (DF denominator)172
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.310225
Sum Squared Residuals16.5532






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
111.0814-0.0813977
211.14045-0.140447
310.9758190.0241814
411.05969-0.0596879
510.7857910.214209
610.9942340.00576584
711.01038-0.0103764
810.7388440.261156
911.111-0.111004
1011.24378-0.243781
1111.25131-0.251312
1211.32826-0.328257
1310.7577310.242269
1411.10972-0.109717
1510.9451470.0548534
1610.906240.09376
1710.7837150.216285
1811.52287-0.522866
1911.34535-0.345345
2011.09428-0.094282
2111.22085-0.220848
2211.0194-0.0194048
2311.14361-0.143609
2410.9607470.0392529
2510.9324280.0675722
2610.9947650.0052349
2710.9114770.0885232
2810.9999297.0722e-05
2910.8030920.196908
3010.8474870.152513
3100.454764-0.454764
3200.152036-0.152036
3300.252041-0.252041
3400.145882-0.145882
3500.0951063-0.0951063
3600.15129-0.15129
3710.9723180.0276819
3810.9483620.0516377
3910.6678920.332108
4010.8311580.168842
4110.6748330.325167
4210.5454320.454568
4300.412993-0.412993
4400.346086-0.346086
4500.101462-0.101462
4600.170851-0.170851
4700.105582-0.105582
480-0.07025160.0702516
4900.421574-0.421574
5000.510879-0.510879
5100.475013-0.475013
5200.393718-0.393718
5300.43516-0.43516
5400.46242-0.46242
5510.8031170.196883
5610.7153210.284679
5710.7854270.214573
5810.7220360.277964
5910.7114010.288599
6010.5723940.427606
6100.452382-0.452382
6200.243282-0.243282
6300.324487-0.324487
6400.273595-0.273595
6500.201444-0.201444
6600.341969-0.341969
6710.9999534.67406e-05
6810.9513130.0486869
6910.8688820.131118
7010.9203620.0796377
7110.9334520.0665482
7211.0612-0.0612028
7310.9354680.0645321
7410.9478380.052162
7511.0303-0.0302988
7611.05262-0.0526177
7711.09335-0.0933486
7811.01202-0.0120175
7910.9042210.0957786
8011.07247-0.0724653
8111.13812-0.138116
8211.15228-0.152275
8311.02653-0.0265304
8410.7831240.216876
8511.21765-0.217645
8610.9698640.030136
8710.8264810.173519
8810.9910180.00898211
8911.00981-0.00980572
9011.41154-0.41154
9111.31689-0.316888
9210.7549340.245066
9310.83220.1678
9410.8881770.111823
9510.7964840.203516
9610.8143140.185686
9710.8390970.160903
9811.09611-0.096108
9910.870730.12927
10011.00974-0.00973837
10111.12041-0.120407
10210.9778710.0221286
10311.11084-0.110841
10410.6108540.389146
10510.6394230.360577
10610.5550990.444901
10710.5335790.466421
10810.682340.31766
10910.6266950.373305
11010.7721980.227802
11110.9677180.0322816
11210.5859590.414041
11310.7837970.216203
11410.6064190.393581
11510.7912930.208707
11610.9792820.0207183
11710.6904730.309527
11810.9870830.0129172
11910.8061960.193804
12010.6327170.367283
12110.476450.52355
12210.9318620.068138
12310.9556450.044355
12410.6835190.316481
12510.6649370.335063
12610.6392670.360733
12710.6593180.340682
12810.6201140.379886
12910.3427330.657267
13010.7699320.230068
13110.7609460.239054
13210.8050540.194946
13311.04785-0.0478506
13410.6200710.379929
13510.8396920.160308
13610.9460770.0539234
13711.11268-0.112678
13811.16152-0.161521
13910.8953640.104636
14010.7901750.209825
14110.7809290.219071
14210.6825110.317489
14310.6342570.365743
14410.6807660.319234
14510.4966230.503377
14610.7205340.279466
14711.08505-0.0850526
14811.02469-0.0246949
14911.12463-0.124626
15010.8506720.149328
15111.03099-0.0309858
15210.9020820.0979184
15311.01343-0.0134284
15410.9319570.0680432
15510.8985190.101481
15611.10391-0.103906
15710.6834820.316518
15811.14214-0.142144
15910.7931870.206813
16010.7745220.225478
16110.9544350.0455648
16210.9940910.00590865
16310.7472680.252732
16410.7536310.246369
16511.29633-0.296331
16600.224544-0.224544
16700.137229-0.137229
1680-0.01979330.0197933
16900.807402-0.807402
17000.129932-0.129932
1710-0.06743160.0674316
17200.63748-0.63748
17300.708821-0.708821
17400.755877-0.755877
17500.771501-0.771501
17600.694235-0.694235
17700.637675-0.637675
17810.4932340.506766
17910.5533530.446647
18010.7237310.276269
18110.5925850.407415
18210.6771170.322883
18310.6247090.375291
18400.432071-0.432071
18500.469892-0.469892
18600.472167-0.472167
18700.330753-0.330753
18800.434847-0.434847
18900.303284-0.303284
19000.345458-0.345458
19100.5117-0.5117
19200.502167-0.502167
1930-0.2204150.220415
19400.269-0.269
19500.431048-0.431048

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 1 & 1.0814 & -0.0813977 \tabularnewline
2 & 1 & 1.14045 & -0.140447 \tabularnewline
3 & 1 & 0.975819 & 0.0241814 \tabularnewline
4 & 1 & 1.05969 & -0.0596879 \tabularnewline
5 & 1 & 0.785791 & 0.214209 \tabularnewline
6 & 1 & 0.994234 & 0.00576584 \tabularnewline
7 & 1 & 1.01038 & -0.0103764 \tabularnewline
8 & 1 & 0.738844 & 0.261156 \tabularnewline
9 & 1 & 1.111 & -0.111004 \tabularnewline
10 & 1 & 1.24378 & -0.243781 \tabularnewline
11 & 1 & 1.25131 & -0.251312 \tabularnewline
12 & 1 & 1.32826 & -0.328257 \tabularnewline
13 & 1 & 0.757731 & 0.242269 \tabularnewline
14 & 1 & 1.10972 & -0.109717 \tabularnewline
15 & 1 & 0.945147 & 0.0548534 \tabularnewline
16 & 1 & 0.90624 & 0.09376 \tabularnewline
17 & 1 & 0.783715 & 0.216285 \tabularnewline
18 & 1 & 1.52287 & -0.522866 \tabularnewline
19 & 1 & 1.34535 & -0.345345 \tabularnewline
20 & 1 & 1.09428 & -0.094282 \tabularnewline
21 & 1 & 1.22085 & -0.220848 \tabularnewline
22 & 1 & 1.0194 & -0.0194048 \tabularnewline
23 & 1 & 1.14361 & -0.143609 \tabularnewline
24 & 1 & 0.960747 & 0.0392529 \tabularnewline
25 & 1 & 0.932428 & 0.0675722 \tabularnewline
26 & 1 & 0.994765 & 0.0052349 \tabularnewline
27 & 1 & 0.911477 & 0.0885232 \tabularnewline
28 & 1 & 0.999929 & 7.0722e-05 \tabularnewline
29 & 1 & 0.803092 & 0.196908 \tabularnewline
30 & 1 & 0.847487 & 0.152513 \tabularnewline
31 & 0 & 0.454764 & -0.454764 \tabularnewline
32 & 0 & 0.152036 & -0.152036 \tabularnewline
33 & 0 & 0.252041 & -0.252041 \tabularnewline
34 & 0 & 0.145882 & -0.145882 \tabularnewline
35 & 0 & 0.0951063 & -0.0951063 \tabularnewline
36 & 0 & 0.15129 & -0.15129 \tabularnewline
37 & 1 & 0.972318 & 0.0276819 \tabularnewline
38 & 1 & 0.948362 & 0.0516377 \tabularnewline
39 & 1 & 0.667892 & 0.332108 \tabularnewline
40 & 1 & 0.831158 & 0.168842 \tabularnewline
41 & 1 & 0.674833 & 0.325167 \tabularnewline
42 & 1 & 0.545432 & 0.454568 \tabularnewline
43 & 0 & 0.412993 & -0.412993 \tabularnewline
44 & 0 & 0.346086 & -0.346086 \tabularnewline
45 & 0 & 0.101462 & -0.101462 \tabularnewline
46 & 0 & 0.170851 & -0.170851 \tabularnewline
47 & 0 & 0.105582 & -0.105582 \tabularnewline
48 & 0 & -0.0702516 & 0.0702516 \tabularnewline
49 & 0 & 0.421574 & -0.421574 \tabularnewline
50 & 0 & 0.510879 & -0.510879 \tabularnewline
51 & 0 & 0.475013 & -0.475013 \tabularnewline
52 & 0 & 0.393718 & -0.393718 \tabularnewline
53 & 0 & 0.43516 & -0.43516 \tabularnewline
54 & 0 & 0.46242 & -0.46242 \tabularnewline
55 & 1 & 0.803117 & 0.196883 \tabularnewline
56 & 1 & 0.715321 & 0.284679 \tabularnewline
57 & 1 & 0.785427 & 0.214573 \tabularnewline
58 & 1 & 0.722036 & 0.277964 \tabularnewline
59 & 1 & 0.711401 & 0.288599 \tabularnewline
60 & 1 & 0.572394 & 0.427606 \tabularnewline
61 & 0 & 0.452382 & -0.452382 \tabularnewline
62 & 0 & 0.243282 & -0.243282 \tabularnewline
63 & 0 & 0.324487 & -0.324487 \tabularnewline
64 & 0 & 0.273595 & -0.273595 \tabularnewline
65 & 0 & 0.201444 & -0.201444 \tabularnewline
66 & 0 & 0.341969 & -0.341969 \tabularnewline
67 & 1 & 0.999953 & 4.67406e-05 \tabularnewline
68 & 1 & 0.951313 & 0.0486869 \tabularnewline
69 & 1 & 0.868882 & 0.131118 \tabularnewline
70 & 1 & 0.920362 & 0.0796377 \tabularnewline
71 & 1 & 0.933452 & 0.0665482 \tabularnewline
72 & 1 & 1.0612 & -0.0612028 \tabularnewline
73 & 1 & 0.935468 & 0.0645321 \tabularnewline
74 & 1 & 0.947838 & 0.052162 \tabularnewline
75 & 1 & 1.0303 & -0.0302988 \tabularnewline
76 & 1 & 1.05262 & -0.0526177 \tabularnewline
77 & 1 & 1.09335 & -0.0933486 \tabularnewline
78 & 1 & 1.01202 & -0.0120175 \tabularnewline
79 & 1 & 0.904221 & 0.0957786 \tabularnewline
80 & 1 & 1.07247 & -0.0724653 \tabularnewline
81 & 1 & 1.13812 & -0.138116 \tabularnewline
82 & 1 & 1.15228 & -0.152275 \tabularnewline
83 & 1 & 1.02653 & -0.0265304 \tabularnewline
84 & 1 & 0.783124 & 0.216876 \tabularnewline
85 & 1 & 1.21765 & -0.217645 \tabularnewline
86 & 1 & 0.969864 & 0.030136 \tabularnewline
87 & 1 & 0.826481 & 0.173519 \tabularnewline
88 & 1 & 0.991018 & 0.00898211 \tabularnewline
89 & 1 & 1.00981 & -0.00980572 \tabularnewline
90 & 1 & 1.41154 & -0.41154 \tabularnewline
91 & 1 & 1.31689 & -0.316888 \tabularnewline
92 & 1 & 0.754934 & 0.245066 \tabularnewline
93 & 1 & 0.8322 & 0.1678 \tabularnewline
94 & 1 & 0.888177 & 0.111823 \tabularnewline
95 & 1 & 0.796484 & 0.203516 \tabularnewline
96 & 1 & 0.814314 & 0.185686 \tabularnewline
97 & 1 & 0.839097 & 0.160903 \tabularnewline
98 & 1 & 1.09611 & -0.096108 \tabularnewline
99 & 1 & 0.87073 & 0.12927 \tabularnewline
100 & 1 & 1.00974 & -0.00973837 \tabularnewline
101 & 1 & 1.12041 & -0.120407 \tabularnewline
102 & 1 & 0.977871 & 0.0221286 \tabularnewline
103 & 1 & 1.11084 & -0.110841 \tabularnewline
104 & 1 & 0.610854 & 0.389146 \tabularnewline
105 & 1 & 0.639423 & 0.360577 \tabularnewline
106 & 1 & 0.555099 & 0.444901 \tabularnewline
107 & 1 & 0.533579 & 0.466421 \tabularnewline
108 & 1 & 0.68234 & 0.31766 \tabularnewline
109 & 1 & 0.626695 & 0.373305 \tabularnewline
110 & 1 & 0.772198 & 0.227802 \tabularnewline
111 & 1 & 0.967718 & 0.0322816 \tabularnewline
112 & 1 & 0.585959 & 0.414041 \tabularnewline
113 & 1 & 0.783797 & 0.216203 \tabularnewline
114 & 1 & 0.606419 & 0.393581 \tabularnewline
115 & 1 & 0.791293 & 0.208707 \tabularnewline
116 & 1 & 0.979282 & 0.0207183 \tabularnewline
117 & 1 & 0.690473 & 0.309527 \tabularnewline
118 & 1 & 0.987083 & 0.0129172 \tabularnewline
119 & 1 & 0.806196 & 0.193804 \tabularnewline
120 & 1 & 0.632717 & 0.367283 \tabularnewline
121 & 1 & 0.47645 & 0.52355 \tabularnewline
122 & 1 & 0.931862 & 0.068138 \tabularnewline
123 & 1 & 0.955645 & 0.044355 \tabularnewline
124 & 1 & 0.683519 & 0.316481 \tabularnewline
125 & 1 & 0.664937 & 0.335063 \tabularnewline
126 & 1 & 0.639267 & 0.360733 \tabularnewline
127 & 1 & 0.659318 & 0.340682 \tabularnewline
128 & 1 & 0.620114 & 0.379886 \tabularnewline
129 & 1 & 0.342733 & 0.657267 \tabularnewline
130 & 1 & 0.769932 & 0.230068 \tabularnewline
131 & 1 & 0.760946 & 0.239054 \tabularnewline
132 & 1 & 0.805054 & 0.194946 \tabularnewline
133 & 1 & 1.04785 & -0.0478506 \tabularnewline
134 & 1 & 0.620071 & 0.379929 \tabularnewline
135 & 1 & 0.839692 & 0.160308 \tabularnewline
136 & 1 & 0.946077 & 0.0539234 \tabularnewline
137 & 1 & 1.11268 & -0.112678 \tabularnewline
138 & 1 & 1.16152 & -0.161521 \tabularnewline
139 & 1 & 0.895364 & 0.104636 \tabularnewline
140 & 1 & 0.790175 & 0.209825 \tabularnewline
141 & 1 & 0.780929 & 0.219071 \tabularnewline
142 & 1 & 0.682511 & 0.317489 \tabularnewline
143 & 1 & 0.634257 & 0.365743 \tabularnewline
144 & 1 & 0.680766 & 0.319234 \tabularnewline
145 & 1 & 0.496623 & 0.503377 \tabularnewline
146 & 1 & 0.720534 & 0.279466 \tabularnewline
147 & 1 & 1.08505 & -0.0850526 \tabularnewline
148 & 1 & 1.02469 & -0.0246949 \tabularnewline
149 & 1 & 1.12463 & -0.124626 \tabularnewline
150 & 1 & 0.850672 & 0.149328 \tabularnewline
151 & 1 & 1.03099 & -0.0309858 \tabularnewline
152 & 1 & 0.902082 & 0.0979184 \tabularnewline
153 & 1 & 1.01343 & -0.0134284 \tabularnewline
154 & 1 & 0.931957 & 0.0680432 \tabularnewline
155 & 1 & 0.898519 & 0.101481 \tabularnewline
156 & 1 & 1.10391 & -0.103906 \tabularnewline
157 & 1 & 0.683482 & 0.316518 \tabularnewline
158 & 1 & 1.14214 & -0.142144 \tabularnewline
159 & 1 & 0.793187 & 0.206813 \tabularnewline
160 & 1 & 0.774522 & 0.225478 \tabularnewline
161 & 1 & 0.954435 & 0.0455648 \tabularnewline
162 & 1 & 0.994091 & 0.00590865 \tabularnewline
163 & 1 & 0.747268 & 0.252732 \tabularnewline
164 & 1 & 0.753631 & 0.246369 \tabularnewline
165 & 1 & 1.29633 & -0.296331 \tabularnewline
166 & 0 & 0.224544 & -0.224544 \tabularnewline
167 & 0 & 0.137229 & -0.137229 \tabularnewline
168 & 0 & -0.0197933 & 0.0197933 \tabularnewline
169 & 0 & 0.807402 & -0.807402 \tabularnewline
170 & 0 & 0.129932 & -0.129932 \tabularnewline
171 & 0 & -0.0674316 & 0.0674316 \tabularnewline
172 & 0 & 0.63748 & -0.63748 \tabularnewline
173 & 0 & 0.708821 & -0.708821 \tabularnewline
174 & 0 & 0.755877 & -0.755877 \tabularnewline
175 & 0 & 0.771501 & -0.771501 \tabularnewline
176 & 0 & 0.694235 & -0.694235 \tabularnewline
177 & 0 & 0.637675 & -0.637675 \tabularnewline
178 & 1 & 0.493234 & 0.506766 \tabularnewline
179 & 1 & 0.553353 & 0.446647 \tabularnewline
180 & 1 & 0.723731 & 0.276269 \tabularnewline
181 & 1 & 0.592585 & 0.407415 \tabularnewline
182 & 1 & 0.677117 & 0.322883 \tabularnewline
183 & 1 & 0.624709 & 0.375291 \tabularnewline
184 & 0 & 0.432071 & -0.432071 \tabularnewline
185 & 0 & 0.469892 & -0.469892 \tabularnewline
186 & 0 & 0.472167 & -0.472167 \tabularnewline
187 & 0 & 0.330753 & -0.330753 \tabularnewline
188 & 0 & 0.434847 & -0.434847 \tabularnewline
189 & 0 & 0.303284 & -0.303284 \tabularnewline
190 & 0 & 0.345458 & -0.345458 \tabularnewline
191 & 0 & 0.5117 & -0.5117 \tabularnewline
192 & 0 & 0.502167 & -0.502167 \tabularnewline
193 & 0 & -0.220415 & 0.220415 \tabularnewline
194 & 0 & 0.269 & -0.269 \tabularnewline
195 & 0 & 0.431048 & -0.431048 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=231432&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]1.0814[/C][C]-0.0813977[/C][/ROW]
[ROW][C]2[/C][C]1[/C][C]1.14045[/C][C]-0.140447[/C][/ROW]
[ROW][C]3[/C][C]1[/C][C]0.975819[/C][C]0.0241814[/C][/ROW]
[ROW][C]4[/C][C]1[/C][C]1.05969[/C][C]-0.0596879[/C][/ROW]
[ROW][C]5[/C][C]1[/C][C]0.785791[/C][C]0.214209[/C][/ROW]
[ROW][C]6[/C][C]1[/C][C]0.994234[/C][C]0.00576584[/C][/ROW]
[ROW][C]7[/C][C]1[/C][C]1.01038[/C][C]-0.0103764[/C][/ROW]
[ROW][C]8[/C][C]1[/C][C]0.738844[/C][C]0.261156[/C][/ROW]
[ROW][C]9[/C][C]1[/C][C]1.111[/C][C]-0.111004[/C][/ROW]
[ROW][C]10[/C][C]1[/C][C]1.24378[/C][C]-0.243781[/C][/ROW]
[ROW][C]11[/C][C]1[/C][C]1.25131[/C][C]-0.251312[/C][/ROW]
[ROW][C]12[/C][C]1[/C][C]1.32826[/C][C]-0.328257[/C][/ROW]
[ROW][C]13[/C][C]1[/C][C]0.757731[/C][C]0.242269[/C][/ROW]
[ROW][C]14[/C][C]1[/C][C]1.10972[/C][C]-0.109717[/C][/ROW]
[ROW][C]15[/C][C]1[/C][C]0.945147[/C][C]0.0548534[/C][/ROW]
[ROW][C]16[/C][C]1[/C][C]0.90624[/C][C]0.09376[/C][/ROW]
[ROW][C]17[/C][C]1[/C][C]0.783715[/C][C]0.216285[/C][/ROW]
[ROW][C]18[/C][C]1[/C][C]1.52287[/C][C]-0.522866[/C][/ROW]
[ROW][C]19[/C][C]1[/C][C]1.34535[/C][C]-0.345345[/C][/ROW]
[ROW][C]20[/C][C]1[/C][C]1.09428[/C][C]-0.094282[/C][/ROW]
[ROW][C]21[/C][C]1[/C][C]1.22085[/C][C]-0.220848[/C][/ROW]
[ROW][C]22[/C][C]1[/C][C]1.0194[/C][C]-0.0194048[/C][/ROW]
[ROW][C]23[/C][C]1[/C][C]1.14361[/C][C]-0.143609[/C][/ROW]
[ROW][C]24[/C][C]1[/C][C]0.960747[/C][C]0.0392529[/C][/ROW]
[ROW][C]25[/C][C]1[/C][C]0.932428[/C][C]0.0675722[/C][/ROW]
[ROW][C]26[/C][C]1[/C][C]0.994765[/C][C]0.0052349[/C][/ROW]
[ROW][C]27[/C][C]1[/C][C]0.911477[/C][C]0.0885232[/C][/ROW]
[ROW][C]28[/C][C]1[/C][C]0.999929[/C][C]7.0722e-05[/C][/ROW]
[ROW][C]29[/C][C]1[/C][C]0.803092[/C][C]0.196908[/C][/ROW]
[ROW][C]30[/C][C]1[/C][C]0.847487[/C][C]0.152513[/C][/ROW]
[ROW][C]31[/C][C]0[/C][C]0.454764[/C][C]-0.454764[/C][/ROW]
[ROW][C]32[/C][C]0[/C][C]0.152036[/C][C]-0.152036[/C][/ROW]
[ROW][C]33[/C][C]0[/C][C]0.252041[/C][C]-0.252041[/C][/ROW]
[ROW][C]34[/C][C]0[/C][C]0.145882[/C][C]-0.145882[/C][/ROW]
[ROW][C]35[/C][C]0[/C][C]0.0951063[/C][C]-0.0951063[/C][/ROW]
[ROW][C]36[/C][C]0[/C][C]0.15129[/C][C]-0.15129[/C][/ROW]
[ROW][C]37[/C][C]1[/C][C]0.972318[/C][C]0.0276819[/C][/ROW]
[ROW][C]38[/C][C]1[/C][C]0.948362[/C][C]0.0516377[/C][/ROW]
[ROW][C]39[/C][C]1[/C][C]0.667892[/C][C]0.332108[/C][/ROW]
[ROW][C]40[/C][C]1[/C][C]0.831158[/C][C]0.168842[/C][/ROW]
[ROW][C]41[/C][C]1[/C][C]0.674833[/C][C]0.325167[/C][/ROW]
[ROW][C]42[/C][C]1[/C][C]0.545432[/C][C]0.454568[/C][/ROW]
[ROW][C]43[/C][C]0[/C][C]0.412993[/C][C]-0.412993[/C][/ROW]
[ROW][C]44[/C][C]0[/C][C]0.346086[/C][C]-0.346086[/C][/ROW]
[ROW][C]45[/C][C]0[/C][C]0.101462[/C][C]-0.101462[/C][/ROW]
[ROW][C]46[/C][C]0[/C][C]0.170851[/C][C]-0.170851[/C][/ROW]
[ROW][C]47[/C][C]0[/C][C]0.105582[/C][C]-0.105582[/C][/ROW]
[ROW][C]48[/C][C]0[/C][C]-0.0702516[/C][C]0.0702516[/C][/ROW]
[ROW][C]49[/C][C]0[/C][C]0.421574[/C][C]-0.421574[/C][/ROW]
[ROW][C]50[/C][C]0[/C][C]0.510879[/C][C]-0.510879[/C][/ROW]
[ROW][C]51[/C][C]0[/C][C]0.475013[/C][C]-0.475013[/C][/ROW]
[ROW][C]52[/C][C]0[/C][C]0.393718[/C][C]-0.393718[/C][/ROW]
[ROW][C]53[/C][C]0[/C][C]0.43516[/C][C]-0.43516[/C][/ROW]
[ROW][C]54[/C][C]0[/C][C]0.46242[/C][C]-0.46242[/C][/ROW]
[ROW][C]55[/C][C]1[/C][C]0.803117[/C][C]0.196883[/C][/ROW]
[ROW][C]56[/C][C]1[/C][C]0.715321[/C][C]0.284679[/C][/ROW]
[ROW][C]57[/C][C]1[/C][C]0.785427[/C][C]0.214573[/C][/ROW]
[ROW][C]58[/C][C]1[/C][C]0.722036[/C][C]0.277964[/C][/ROW]
[ROW][C]59[/C][C]1[/C][C]0.711401[/C][C]0.288599[/C][/ROW]
[ROW][C]60[/C][C]1[/C][C]0.572394[/C][C]0.427606[/C][/ROW]
[ROW][C]61[/C][C]0[/C][C]0.452382[/C][C]-0.452382[/C][/ROW]
[ROW][C]62[/C][C]0[/C][C]0.243282[/C][C]-0.243282[/C][/ROW]
[ROW][C]63[/C][C]0[/C][C]0.324487[/C][C]-0.324487[/C][/ROW]
[ROW][C]64[/C][C]0[/C][C]0.273595[/C][C]-0.273595[/C][/ROW]
[ROW][C]65[/C][C]0[/C][C]0.201444[/C][C]-0.201444[/C][/ROW]
[ROW][C]66[/C][C]0[/C][C]0.341969[/C][C]-0.341969[/C][/ROW]
[ROW][C]67[/C][C]1[/C][C]0.999953[/C][C]4.67406e-05[/C][/ROW]
[ROW][C]68[/C][C]1[/C][C]0.951313[/C][C]0.0486869[/C][/ROW]
[ROW][C]69[/C][C]1[/C][C]0.868882[/C][C]0.131118[/C][/ROW]
[ROW][C]70[/C][C]1[/C][C]0.920362[/C][C]0.0796377[/C][/ROW]
[ROW][C]71[/C][C]1[/C][C]0.933452[/C][C]0.0665482[/C][/ROW]
[ROW][C]72[/C][C]1[/C][C]1.0612[/C][C]-0.0612028[/C][/ROW]
[ROW][C]73[/C][C]1[/C][C]0.935468[/C][C]0.0645321[/C][/ROW]
[ROW][C]74[/C][C]1[/C][C]0.947838[/C][C]0.052162[/C][/ROW]
[ROW][C]75[/C][C]1[/C][C]1.0303[/C][C]-0.0302988[/C][/ROW]
[ROW][C]76[/C][C]1[/C][C]1.05262[/C][C]-0.0526177[/C][/ROW]
[ROW][C]77[/C][C]1[/C][C]1.09335[/C][C]-0.0933486[/C][/ROW]
[ROW][C]78[/C][C]1[/C][C]1.01202[/C][C]-0.0120175[/C][/ROW]
[ROW][C]79[/C][C]1[/C][C]0.904221[/C][C]0.0957786[/C][/ROW]
[ROW][C]80[/C][C]1[/C][C]1.07247[/C][C]-0.0724653[/C][/ROW]
[ROW][C]81[/C][C]1[/C][C]1.13812[/C][C]-0.138116[/C][/ROW]
[ROW][C]82[/C][C]1[/C][C]1.15228[/C][C]-0.152275[/C][/ROW]
[ROW][C]83[/C][C]1[/C][C]1.02653[/C][C]-0.0265304[/C][/ROW]
[ROW][C]84[/C][C]1[/C][C]0.783124[/C][C]0.216876[/C][/ROW]
[ROW][C]85[/C][C]1[/C][C]1.21765[/C][C]-0.217645[/C][/ROW]
[ROW][C]86[/C][C]1[/C][C]0.969864[/C][C]0.030136[/C][/ROW]
[ROW][C]87[/C][C]1[/C][C]0.826481[/C][C]0.173519[/C][/ROW]
[ROW][C]88[/C][C]1[/C][C]0.991018[/C][C]0.00898211[/C][/ROW]
[ROW][C]89[/C][C]1[/C][C]1.00981[/C][C]-0.00980572[/C][/ROW]
[ROW][C]90[/C][C]1[/C][C]1.41154[/C][C]-0.41154[/C][/ROW]
[ROW][C]91[/C][C]1[/C][C]1.31689[/C][C]-0.316888[/C][/ROW]
[ROW][C]92[/C][C]1[/C][C]0.754934[/C][C]0.245066[/C][/ROW]
[ROW][C]93[/C][C]1[/C][C]0.8322[/C][C]0.1678[/C][/ROW]
[ROW][C]94[/C][C]1[/C][C]0.888177[/C][C]0.111823[/C][/ROW]
[ROW][C]95[/C][C]1[/C][C]0.796484[/C][C]0.203516[/C][/ROW]
[ROW][C]96[/C][C]1[/C][C]0.814314[/C][C]0.185686[/C][/ROW]
[ROW][C]97[/C][C]1[/C][C]0.839097[/C][C]0.160903[/C][/ROW]
[ROW][C]98[/C][C]1[/C][C]1.09611[/C][C]-0.096108[/C][/ROW]
[ROW][C]99[/C][C]1[/C][C]0.87073[/C][C]0.12927[/C][/ROW]
[ROW][C]100[/C][C]1[/C][C]1.00974[/C][C]-0.00973837[/C][/ROW]
[ROW][C]101[/C][C]1[/C][C]1.12041[/C][C]-0.120407[/C][/ROW]
[ROW][C]102[/C][C]1[/C][C]0.977871[/C][C]0.0221286[/C][/ROW]
[ROW][C]103[/C][C]1[/C][C]1.11084[/C][C]-0.110841[/C][/ROW]
[ROW][C]104[/C][C]1[/C][C]0.610854[/C][C]0.389146[/C][/ROW]
[ROW][C]105[/C][C]1[/C][C]0.639423[/C][C]0.360577[/C][/ROW]
[ROW][C]106[/C][C]1[/C][C]0.555099[/C][C]0.444901[/C][/ROW]
[ROW][C]107[/C][C]1[/C][C]0.533579[/C][C]0.466421[/C][/ROW]
[ROW][C]108[/C][C]1[/C][C]0.68234[/C][C]0.31766[/C][/ROW]
[ROW][C]109[/C][C]1[/C][C]0.626695[/C][C]0.373305[/C][/ROW]
[ROW][C]110[/C][C]1[/C][C]0.772198[/C][C]0.227802[/C][/ROW]
[ROW][C]111[/C][C]1[/C][C]0.967718[/C][C]0.0322816[/C][/ROW]
[ROW][C]112[/C][C]1[/C][C]0.585959[/C][C]0.414041[/C][/ROW]
[ROW][C]113[/C][C]1[/C][C]0.783797[/C][C]0.216203[/C][/ROW]
[ROW][C]114[/C][C]1[/C][C]0.606419[/C][C]0.393581[/C][/ROW]
[ROW][C]115[/C][C]1[/C][C]0.791293[/C][C]0.208707[/C][/ROW]
[ROW][C]116[/C][C]1[/C][C]0.979282[/C][C]0.0207183[/C][/ROW]
[ROW][C]117[/C][C]1[/C][C]0.690473[/C][C]0.309527[/C][/ROW]
[ROW][C]118[/C][C]1[/C][C]0.987083[/C][C]0.0129172[/C][/ROW]
[ROW][C]119[/C][C]1[/C][C]0.806196[/C][C]0.193804[/C][/ROW]
[ROW][C]120[/C][C]1[/C][C]0.632717[/C][C]0.367283[/C][/ROW]
[ROW][C]121[/C][C]1[/C][C]0.47645[/C][C]0.52355[/C][/ROW]
[ROW][C]122[/C][C]1[/C][C]0.931862[/C][C]0.068138[/C][/ROW]
[ROW][C]123[/C][C]1[/C][C]0.955645[/C][C]0.044355[/C][/ROW]
[ROW][C]124[/C][C]1[/C][C]0.683519[/C][C]0.316481[/C][/ROW]
[ROW][C]125[/C][C]1[/C][C]0.664937[/C][C]0.335063[/C][/ROW]
[ROW][C]126[/C][C]1[/C][C]0.639267[/C][C]0.360733[/C][/ROW]
[ROW][C]127[/C][C]1[/C][C]0.659318[/C][C]0.340682[/C][/ROW]
[ROW][C]128[/C][C]1[/C][C]0.620114[/C][C]0.379886[/C][/ROW]
[ROW][C]129[/C][C]1[/C][C]0.342733[/C][C]0.657267[/C][/ROW]
[ROW][C]130[/C][C]1[/C][C]0.769932[/C][C]0.230068[/C][/ROW]
[ROW][C]131[/C][C]1[/C][C]0.760946[/C][C]0.239054[/C][/ROW]
[ROW][C]132[/C][C]1[/C][C]0.805054[/C][C]0.194946[/C][/ROW]
[ROW][C]133[/C][C]1[/C][C]1.04785[/C][C]-0.0478506[/C][/ROW]
[ROW][C]134[/C][C]1[/C][C]0.620071[/C][C]0.379929[/C][/ROW]
[ROW][C]135[/C][C]1[/C][C]0.839692[/C][C]0.160308[/C][/ROW]
[ROW][C]136[/C][C]1[/C][C]0.946077[/C][C]0.0539234[/C][/ROW]
[ROW][C]137[/C][C]1[/C][C]1.11268[/C][C]-0.112678[/C][/ROW]
[ROW][C]138[/C][C]1[/C][C]1.16152[/C][C]-0.161521[/C][/ROW]
[ROW][C]139[/C][C]1[/C][C]0.895364[/C][C]0.104636[/C][/ROW]
[ROW][C]140[/C][C]1[/C][C]0.790175[/C][C]0.209825[/C][/ROW]
[ROW][C]141[/C][C]1[/C][C]0.780929[/C][C]0.219071[/C][/ROW]
[ROW][C]142[/C][C]1[/C][C]0.682511[/C][C]0.317489[/C][/ROW]
[ROW][C]143[/C][C]1[/C][C]0.634257[/C][C]0.365743[/C][/ROW]
[ROW][C]144[/C][C]1[/C][C]0.680766[/C][C]0.319234[/C][/ROW]
[ROW][C]145[/C][C]1[/C][C]0.496623[/C][C]0.503377[/C][/ROW]
[ROW][C]146[/C][C]1[/C][C]0.720534[/C][C]0.279466[/C][/ROW]
[ROW][C]147[/C][C]1[/C][C]1.08505[/C][C]-0.0850526[/C][/ROW]
[ROW][C]148[/C][C]1[/C][C]1.02469[/C][C]-0.0246949[/C][/ROW]
[ROW][C]149[/C][C]1[/C][C]1.12463[/C][C]-0.124626[/C][/ROW]
[ROW][C]150[/C][C]1[/C][C]0.850672[/C][C]0.149328[/C][/ROW]
[ROW][C]151[/C][C]1[/C][C]1.03099[/C][C]-0.0309858[/C][/ROW]
[ROW][C]152[/C][C]1[/C][C]0.902082[/C][C]0.0979184[/C][/ROW]
[ROW][C]153[/C][C]1[/C][C]1.01343[/C][C]-0.0134284[/C][/ROW]
[ROW][C]154[/C][C]1[/C][C]0.931957[/C][C]0.0680432[/C][/ROW]
[ROW][C]155[/C][C]1[/C][C]0.898519[/C][C]0.101481[/C][/ROW]
[ROW][C]156[/C][C]1[/C][C]1.10391[/C][C]-0.103906[/C][/ROW]
[ROW][C]157[/C][C]1[/C][C]0.683482[/C][C]0.316518[/C][/ROW]
[ROW][C]158[/C][C]1[/C][C]1.14214[/C][C]-0.142144[/C][/ROW]
[ROW][C]159[/C][C]1[/C][C]0.793187[/C][C]0.206813[/C][/ROW]
[ROW][C]160[/C][C]1[/C][C]0.774522[/C][C]0.225478[/C][/ROW]
[ROW][C]161[/C][C]1[/C][C]0.954435[/C][C]0.0455648[/C][/ROW]
[ROW][C]162[/C][C]1[/C][C]0.994091[/C][C]0.00590865[/C][/ROW]
[ROW][C]163[/C][C]1[/C][C]0.747268[/C][C]0.252732[/C][/ROW]
[ROW][C]164[/C][C]1[/C][C]0.753631[/C][C]0.246369[/C][/ROW]
[ROW][C]165[/C][C]1[/C][C]1.29633[/C][C]-0.296331[/C][/ROW]
[ROW][C]166[/C][C]0[/C][C]0.224544[/C][C]-0.224544[/C][/ROW]
[ROW][C]167[/C][C]0[/C][C]0.137229[/C][C]-0.137229[/C][/ROW]
[ROW][C]168[/C][C]0[/C][C]-0.0197933[/C][C]0.0197933[/C][/ROW]
[ROW][C]169[/C][C]0[/C][C]0.807402[/C][C]-0.807402[/C][/ROW]
[ROW][C]170[/C][C]0[/C][C]0.129932[/C][C]-0.129932[/C][/ROW]
[ROW][C]171[/C][C]0[/C][C]-0.0674316[/C][C]0.0674316[/C][/ROW]
[ROW][C]172[/C][C]0[/C][C]0.63748[/C][C]-0.63748[/C][/ROW]
[ROW][C]173[/C][C]0[/C][C]0.708821[/C][C]-0.708821[/C][/ROW]
[ROW][C]174[/C][C]0[/C][C]0.755877[/C][C]-0.755877[/C][/ROW]
[ROW][C]175[/C][C]0[/C][C]0.771501[/C][C]-0.771501[/C][/ROW]
[ROW][C]176[/C][C]0[/C][C]0.694235[/C][C]-0.694235[/C][/ROW]
[ROW][C]177[/C][C]0[/C][C]0.637675[/C][C]-0.637675[/C][/ROW]
[ROW][C]178[/C][C]1[/C][C]0.493234[/C][C]0.506766[/C][/ROW]
[ROW][C]179[/C][C]1[/C][C]0.553353[/C][C]0.446647[/C][/ROW]
[ROW][C]180[/C][C]1[/C][C]0.723731[/C][C]0.276269[/C][/ROW]
[ROW][C]181[/C][C]1[/C][C]0.592585[/C][C]0.407415[/C][/ROW]
[ROW][C]182[/C][C]1[/C][C]0.677117[/C][C]0.322883[/C][/ROW]
[ROW][C]183[/C][C]1[/C][C]0.624709[/C][C]0.375291[/C][/ROW]
[ROW][C]184[/C][C]0[/C][C]0.432071[/C][C]-0.432071[/C][/ROW]
[ROW][C]185[/C][C]0[/C][C]0.469892[/C][C]-0.469892[/C][/ROW]
[ROW][C]186[/C][C]0[/C][C]0.472167[/C][C]-0.472167[/C][/ROW]
[ROW][C]187[/C][C]0[/C][C]0.330753[/C][C]-0.330753[/C][/ROW]
[ROW][C]188[/C][C]0[/C][C]0.434847[/C][C]-0.434847[/C][/ROW]
[ROW][C]189[/C][C]0[/C][C]0.303284[/C][C]-0.303284[/C][/ROW]
[ROW][C]190[/C][C]0[/C][C]0.345458[/C][C]-0.345458[/C][/ROW]
[ROW][C]191[/C][C]0[/C][C]0.5117[/C][C]-0.5117[/C][/ROW]
[ROW][C]192[/C][C]0[/C][C]0.502167[/C][C]-0.502167[/C][/ROW]
[ROW][C]193[/C][C]0[/C][C]-0.220415[/C][C]0.220415[/C][/ROW]
[ROW][C]194[/C][C]0[/C][C]0.269[/C][C]-0.269[/C][/ROW]
[ROW][C]195[/C][C]0[/C][C]0.431048[/C][C]-0.431048[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=231432&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=231432&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
111.0814-0.0813977
211.14045-0.140447
310.9758190.0241814
411.05969-0.0596879
510.7857910.214209
610.9942340.00576584
711.01038-0.0103764
810.7388440.261156
911.111-0.111004
1011.24378-0.243781
1111.25131-0.251312
1211.32826-0.328257
1310.7577310.242269
1411.10972-0.109717
1510.9451470.0548534
1610.906240.09376
1710.7837150.216285
1811.52287-0.522866
1911.34535-0.345345
2011.09428-0.094282
2111.22085-0.220848
2211.0194-0.0194048
2311.14361-0.143609
2410.9607470.0392529
2510.9324280.0675722
2610.9947650.0052349
2710.9114770.0885232
2810.9999297.0722e-05
2910.8030920.196908
3010.8474870.152513
3100.454764-0.454764
3200.152036-0.152036
3300.252041-0.252041
3400.145882-0.145882
3500.0951063-0.0951063
3600.15129-0.15129
3710.9723180.0276819
3810.9483620.0516377
3910.6678920.332108
4010.8311580.168842
4110.6748330.325167
4210.5454320.454568
4300.412993-0.412993
4400.346086-0.346086
4500.101462-0.101462
4600.170851-0.170851
4700.105582-0.105582
480-0.07025160.0702516
4900.421574-0.421574
5000.510879-0.510879
5100.475013-0.475013
5200.393718-0.393718
5300.43516-0.43516
5400.46242-0.46242
5510.8031170.196883
5610.7153210.284679
5710.7854270.214573
5810.7220360.277964
5910.7114010.288599
6010.5723940.427606
6100.452382-0.452382
6200.243282-0.243282
6300.324487-0.324487
6400.273595-0.273595
6500.201444-0.201444
6600.341969-0.341969
6710.9999534.67406e-05
6810.9513130.0486869
6910.8688820.131118
7010.9203620.0796377
7110.9334520.0665482
7211.0612-0.0612028
7310.9354680.0645321
7410.9478380.052162
7511.0303-0.0302988
7611.05262-0.0526177
7711.09335-0.0933486
7811.01202-0.0120175
7910.9042210.0957786
8011.07247-0.0724653
8111.13812-0.138116
8211.15228-0.152275
8311.02653-0.0265304
8410.7831240.216876
8511.21765-0.217645
8610.9698640.030136
8710.8264810.173519
8810.9910180.00898211
8911.00981-0.00980572
9011.41154-0.41154
9111.31689-0.316888
9210.7549340.245066
9310.83220.1678
9410.8881770.111823
9510.7964840.203516
9610.8143140.185686
9710.8390970.160903
9811.09611-0.096108
9910.870730.12927
10011.00974-0.00973837
10111.12041-0.120407
10210.9778710.0221286
10311.11084-0.110841
10410.6108540.389146
10510.6394230.360577
10610.5550990.444901
10710.5335790.466421
10810.682340.31766
10910.6266950.373305
11010.7721980.227802
11110.9677180.0322816
11210.5859590.414041
11310.7837970.216203
11410.6064190.393581
11510.7912930.208707
11610.9792820.0207183
11710.6904730.309527
11810.9870830.0129172
11910.8061960.193804
12010.6327170.367283
12110.476450.52355
12210.9318620.068138
12310.9556450.044355
12410.6835190.316481
12510.6649370.335063
12610.6392670.360733
12710.6593180.340682
12810.6201140.379886
12910.3427330.657267
13010.7699320.230068
13110.7609460.239054
13210.8050540.194946
13311.04785-0.0478506
13410.6200710.379929
13510.8396920.160308
13610.9460770.0539234
13711.11268-0.112678
13811.16152-0.161521
13910.8953640.104636
14010.7901750.209825
14110.7809290.219071
14210.6825110.317489
14310.6342570.365743
14410.6807660.319234
14510.4966230.503377
14610.7205340.279466
14711.08505-0.0850526
14811.02469-0.0246949
14911.12463-0.124626
15010.8506720.149328
15111.03099-0.0309858
15210.9020820.0979184
15311.01343-0.0134284
15410.9319570.0680432
15510.8985190.101481
15611.10391-0.103906
15710.6834820.316518
15811.14214-0.142144
15910.7931870.206813
16010.7745220.225478
16110.9544350.0455648
16210.9940910.00590865
16310.7472680.252732
16410.7536310.246369
16511.29633-0.296331
16600.224544-0.224544
16700.137229-0.137229
1680-0.01979330.0197933
16900.807402-0.807402
17000.129932-0.129932
1710-0.06743160.0674316
17200.63748-0.63748
17300.708821-0.708821
17400.755877-0.755877
17500.771501-0.771501
17600.694235-0.694235
17700.637675-0.637675
17810.4932340.506766
17910.5533530.446647
18010.7237310.276269
18110.5925850.407415
18210.6771170.322883
18310.6247090.375291
18400.432071-0.432071
18500.469892-0.469892
18600.472167-0.472167
18700.330753-0.330753
18800.434847-0.434847
18900.303284-0.303284
19000.345458-0.345458
19100.5117-0.5117
19200.502167-0.502167
1930-0.2204150.220415
19400.269-0.269
19500.431048-0.431048






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
261.68753e-533.37505e-531
273.48178e-656.96355e-651
281.3536e-772.7072e-771
295.16108e-941.03222e-931
306.52794e-1101.30559e-1091
310.002841220.005682440.997159
320.001048840.002097680.998951
330.0003533550.0007067090.999647
340.0001139260.0002278520.999886
355.83222e-050.0001166440.999942
362.15485e-054.30969e-050.999978
370.0002219280.0004438560.999778
380.0001795030.0003590050.99982
390.001143360.002286710.998857
400.0005599210.001119840.99944
410.0007475450.001495090.999252
420.0005069380.001013880.999493
430.0002610890.0005221790.999739
440.0001431320.0002862650.999857
457.15521e-050.0001431040.999928
463.34656e-056.69312e-050.999967
471.70769e-053.41538e-050.999983
487.76954e-061.55391e-050.999992
490.0009025910.001805180.999097
500.0009298930.001859790.99907
510.0007561790.001512360.999244
520.0006498190.001299640.99935
530.0006930150.001386030.999307
540.0009578620.001915720.999042
550.000736440.001472880.999264
560.0007012750.001402550.999299
570.0004184340.0008368690.999582
580.0002821220.0005642450.999718
590.0001910950.000382190.999809
600.0001631720.0003263430.999837
610.0121740.02434810.987826
620.01170620.02341250.988294
630.01439870.02879740.985601
640.01642190.03284390.983578
650.01800720.03601440.981993
660.03336610.06673210.966634
670.02799990.05599970.972
680.02378140.04756290.976219
690.02731880.05463760.972681
700.02307560.04615120.976924
710.0187880.03757610.981212
720.01903380.03806760.980966
730.01663950.03327890.983361
740.02278490.04556980.977215
750.02248170.04496350.977518
760.01760960.03521920.98239
770.01663990.03327980.98336
780.01499670.02999330.985003
790.01450620.02901240.985494
800.01263990.02527980.98736
810.009871070.01974210.990129
820.007865990.0157320.992134
830.007168760.01433750.992831
840.006714810.01342960.993285
850.007080670.01416130.992919
860.01413680.02827350.985863
870.03096440.06192870.969036
880.03149310.06298620.968507
890.03328740.06657480.966713
900.05914710.1182940.940853
910.08936490.178730.910635
920.1128490.2256980.887151
930.1106440.2212880.889356
940.09166610.1833320.908334
950.07785120.1557020.922149
960.08119240.1623850.918808
970.07643970.1528790.92356
980.1128160.2256320.887184
990.1183860.2367720.881614
1000.1350310.2700610.864969
1010.1511350.302270.848865
1020.139250.27850.86075
1030.126940.2538810.87306
1040.1214810.2429610.878519
1050.1105220.2210430.889478
1060.1179840.2359680.882016
1070.1221080.2442160.877892
1080.1066390.2132790.893361
1090.08717780.1743560.912822
1100.07712080.1542420.922879
1110.06288320.1257660.937117
1120.05773910.1154780.942261
1130.04555890.09111770.954441
1140.04286640.08573270.957134
1150.03810280.07620550.961897
1160.02947240.05894480.970528
1170.02409350.04818710.975906
1180.01891160.03782320.981088
1190.01497190.02994370.985028
1200.02076830.04153660.979232
1210.01714380.03428770.982856
1220.0166430.03328590.983357
1230.01659260.03318530.983407
1240.01229730.02459460.987703
1250.00918570.01837140.990814
1260.007249920.01449980.99275
1270.005712610.01142520.994287
1280.006619970.01323990.99338
1290.006285680.01257140.993714
1300.005807830.01161570.994192
1310.004091630.008183260.995908
1320.003046090.006092180.996954
1330.002651830.005303670.997348
1340.00260160.005203210.997398
1350.002051580.004103170.997948
1360.002501020.005002040.997499
1370.003713910.007427820.996286
1380.003592240.007184480.996408
1390.002521210.005042430.997479
1400.00669860.01339720.993301
1410.005229720.01045940.99477
1420.004541780.009083560.995458
1430.003872640.007745270.996127
1440.004828120.009656240.995172
1450.004370870.008741750.995629
1460.002971090.005942190.997029
1470.002523840.005047690.997476
1480.001697310.003394610.998303
1490.002725390.005450770.997275
1500.002372520.004745050.997627
1510.002725270.005450530.997275
1520.00367850.007356990.996322
1530.05833130.1166630.941669
1540.04925410.09850830.950746
1550.05717090.1143420.942829
1560.05602710.1120540.943973
1570.1305150.2610310.869485
1580.09551140.1910230.904489
1590.4715910.9431830.528409
1600.3914050.7828110.608595
1610.3575130.7150250.642487
1620.2925030.5850050.707497
1630.4276640.8553280.572336
1640.3429380.6858760.657062
1650.3980280.7960570.601972
1660.6049440.7901120.395056
1670.8697970.2604060.130203
1680.8022510.3954970.197749
1690.8591760.2816480.140824

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
26 & 1.68753e-53 & 3.37505e-53 & 1 \tabularnewline
27 & 3.48178e-65 & 6.96355e-65 & 1 \tabularnewline
28 & 1.3536e-77 & 2.7072e-77 & 1 \tabularnewline
29 & 5.16108e-94 & 1.03222e-93 & 1 \tabularnewline
30 & 6.52794e-110 & 1.30559e-109 & 1 \tabularnewline
31 & 0.00284122 & 0.00568244 & 0.997159 \tabularnewline
32 & 0.00104884 & 0.00209768 & 0.998951 \tabularnewline
33 & 0.000353355 & 0.000706709 & 0.999647 \tabularnewline
34 & 0.000113926 & 0.000227852 & 0.999886 \tabularnewline
35 & 5.83222e-05 & 0.000116644 & 0.999942 \tabularnewline
36 & 2.15485e-05 & 4.30969e-05 & 0.999978 \tabularnewline
37 & 0.000221928 & 0.000443856 & 0.999778 \tabularnewline
38 & 0.000179503 & 0.000359005 & 0.99982 \tabularnewline
39 & 0.00114336 & 0.00228671 & 0.998857 \tabularnewline
40 & 0.000559921 & 0.00111984 & 0.99944 \tabularnewline
41 & 0.000747545 & 0.00149509 & 0.999252 \tabularnewline
42 & 0.000506938 & 0.00101388 & 0.999493 \tabularnewline
43 & 0.000261089 & 0.000522179 & 0.999739 \tabularnewline
44 & 0.000143132 & 0.000286265 & 0.999857 \tabularnewline
45 & 7.15521e-05 & 0.000143104 & 0.999928 \tabularnewline
46 & 3.34656e-05 & 6.69312e-05 & 0.999967 \tabularnewline
47 & 1.70769e-05 & 3.41538e-05 & 0.999983 \tabularnewline
48 & 7.76954e-06 & 1.55391e-05 & 0.999992 \tabularnewline
49 & 0.000902591 & 0.00180518 & 0.999097 \tabularnewline
50 & 0.000929893 & 0.00185979 & 0.99907 \tabularnewline
51 & 0.000756179 & 0.00151236 & 0.999244 \tabularnewline
52 & 0.000649819 & 0.00129964 & 0.99935 \tabularnewline
53 & 0.000693015 & 0.00138603 & 0.999307 \tabularnewline
54 & 0.000957862 & 0.00191572 & 0.999042 \tabularnewline
55 & 0.00073644 & 0.00147288 & 0.999264 \tabularnewline
56 & 0.000701275 & 0.00140255 & 0.999299 \tabularnewline
57 & 0.000418434 & 0.000836869 & 0.999582 \tabularnewline
58 & 0.000282122 & 0.000564245 & 0.999718 \tabularnewline
59 & 0.000191095 & 0.00038219 & 0.999809 \tabularnewline
60 & 0.000163172 & 0.000326343 & 0.999837 \tabularnewline
61 & 0.012174 & 0.0243481 & 0.987826 \tabularnewline
62 & 0.0117062 & 0.0234125 & 0.988294 \tabularnewline
63 & 0.0143987 & 0.0287974 & 0.985601 \tabularnewline
64 & 0.0164219 & 0.0328439 & 0.983578 \tabularnewline
65 & 0.0180072 & 0.0360144 & 0.981993 \tabularnewline
66 & 0.0333661 & 0.0667321 & 0.966634 \tabularnewline
67 & 0.0279999 & 0.0559997 & 0.972 \tabularnewline
68 & 0.0237814 & 0.0475629 & 0.976219 \tabularnewline
69 & 0.0273188 & 0.0546376 & 0.972681 \tabularnewline
70 & 0.0230756 & 0.0461512 & 0.976924 \tabularnewline
71 & 0.018788 & 0.0375761 & 0.981212 \tabularnewline
72 & 0.0190338 & 0.0380676 & 0.980966 \tabularnewline
73 & 0.0166395 & 0.0332789 & 0.983361 \tabularnewline
74 & 0.0227849 & 0.0455698 & 0.977215 \tabularnewline
75 & 0.0224817 & 0.0449635 & 0.977518 \tabularnewline
76 & 0.0176096 & 0.0352192 & 0.98239 \tabularnewline
77 & 0.0166399 & 0.0332798 & 0.98336 \tabularnewline
78 & 0.0149967 & 0.0299933 & 0.985003 \tabularnewline
79 & 0.0145062 & 0.0290124 & 0.985494 \tabularnewline
80 & 0.0126399 & 0.0252798 & 0.98736 \tabularnewline
81 & 0.00987107 & 0.0197421 & 0.990129 \tabularnewline
82 & 0.00786599 & 0.015732 & 0.992134 \tabularnewline
83 & 0.00716876 & 0.0143375 & 0.992831 \tabularnewline
84 & 0.00671481 & 0.0134296 & 0.993285 \tabularnewline
85 & 0.00708067 & 0.0141613 & 0.992919 \tabularnewline
86 & 0.0141368 & 0.0282735 & 0.985863 \tabularnewline
87 & 0.0309644 & 0.0619287 & 0.969036 \tabularnewline
88 & 0.0314931 & 0.0629862 & 0.968507 \tabularnewline
89 & 0.0332874 & 0.0665748 & 0.966713 \tabularnewline
90 & 0.0591471 & 0.118294 & 0.940853 \tabularnewline
91 & 0.0893649 & 0.17873 & 0.910635 \tabularnewline
92 & 0.112849 & 0.225698 & 0.887151 \tabularnewline
93 & 0.110644 & 0.221288 & 0.889356 \tabularnewline
94 & 0.0916661 & 0.183332 & 0.908334 \tabularnewline
95 & 0.0778512 & 0.155702 & 0.922149 \tabularnewline
96 & 0.0811924 & 0.162385 & 0.918808 \tabularnewline
97 & 0.0764397 & 0.152879 & 0.92356 \tabularnewline
98 & 0.112816 & 0.225632 & 0.887184 \tabularnewline
99 & 0.118386 & 0.236772 & 0.881614 \tabularnewline
100 & 0.135031 & 0.270061 & 0.864969 \tabularnewline
101 & 0.151135 & 0.30227 & 0.848865 \tabularnewline
102 & 0.13925 & 0.2785 & 0.86075 \tabularnewline
103 & 0.12694 & 0.253881 & 0.87306 \tabularnewline
104 & 0.121481 & 0.242961 & 0.878519 \tabularnewline
105 & 0.110522 & 0.221043 & 0.889478 \tabularnewline
106 & 0.117984 & 0.235968 & 0.882016 \tabularnewline
107 & 0.122108 & 0.244216 & 0.877892 \tabularnewline
108 & 0.106639 & 0.213279 & 0.893361 \tabularnewline
109 & 0.0871778 & 0.174356 & 0.912822 \tabularnewline
110 & 0.0771208 & 0.154242 & 0.922879 \tabularnewline
111 & 0.0628832 & 0.125766 & 0.937117 \tabularnewline
112 & 0.0577391 & 0.115478 & 0.942261 \tabularnewline
113 & 0.0455589 & 0.0911177 & 0.954441 \tabularnewline
114 & 0.0428664 & 0.0857327 & 0.957134 \tabularnewline
115 & 0.0381028 & 0.0762055 & 0.961897 \tabularnewline
116 & 0.0294724 & 0.0589448 & 0.970528 \tabularnewline
117 & 0.0240935 & 0.0481871 & 0.975906 \tabularnewline
118 & 0.0189116 & 0.0378232 & 0.981088 \tabularnewline
119 & 0.0149719 & 0.0299437 & 0.985028 \tabularnewline
120 & 0.0207683 & 0.0415366 & 0.979232 \tabularnewline
121 & 0.0171438 & 0.0342877 & 0.982856 \tabularnewline
122 & 0.016643 & 0.0332859 & 0.983357 \tabularnewline
123 & 0.0165926 & 0.0331853 & 0.983407 \tabularnewline
124 & 0.0122973 & 0.0245946 & 0.987703 \tabularnewline
125 & 0.0091857 & 0.0183714 & 0.990814 \tabularnewline
126 & 0.00724992 & 0.0144998 & 0.99275 \tabularnewline
127 & 0.00571261 & 0.0114252 & 0.994287 \tabularnewline
128 & 0.00661997 & 0.0132399 & 0.99338 \tabularnewline
129 & 0.00628568 & 0.0125714 & 0.993714 \tabularnewline
130 & 0.00580783 & 0.0116157 & 0.994192 \tabularnewline
131 & 0.00409163 & 0.00818326 & 0.995908 \tabularnewline
132 & 0.00304609 & 0.00609218 & 0.996954 \tabularnewline
133 & 0.00265183 & 0.00530367 & 0.997348 \tabularnewline
134 & 0.0026016 & 0.00520321 & 0.997398 \tabularnewline
135 & 0.00205158 & 0.00410317 & 0.997948 \tabularnewline
136 & 0.00250102 & 0.00500204 & 0.997499 \tabularnewline
137 & 0.00371391 & 0.00742782 & 0.996286 \tabularnewline
138 & 0.00359224 & 0.00718448 & 0.996408 \tabularnewline
139 & 0.00252121 & 0.00504243 & 0.997479 \tabularnewline
140 & 0.0066986 & 0.0133972 & 0.993301 \tabularnewline
141 & 0.00522972 & 0.0104594 & 0.99477 \tabularnewline
142 & 0.00454178 & 0.00908356 & 0.995458 \tabularnewline
143 & 0.00387264 & 0.00774527 & 0.996127 \tabularnewline
144 & 0.00482812 & 0.00965624 & 0.995172 \tabularnewline
145 & 0.00437087 & 0.00874175 & 0.995629 \tabularnewline
146 & 0.00297109 & 0.00594219 & 0.997029 \tabularnewline
147 & 0.00252384 & 0.00504769 & 0.997476 \tabularnewline
148 & 0.00169731 & 0.00339461 & 0.998303 \tabularnewline
149 & 0.00272539 & 0.00545077 & 0.997275 \tabularnewline
150 & 0.00237252 & 0.00474505 & 0.997627 \tabularnewline
151 & 0.00272527 & 0.00545053 & 0.997275 \tabularnewline
152 & 0.0036785 & 0.00735699 & 0.996322 \tabularnewline
153 & 0.0583313 & 0.116663 & 0.941669 \tabularnewline
154 & 0.0492541 & 0.0985083 & 0.950746 \tabularnewline
155 & 0.0571709 & 0.114342 & 0.942829 \tabularnewline
156 & 0.0560271 & 0.112054 & 0.943973 \tabularnewline
157 & 0.130515 & 0.261031 & 0.869485 \tabularnewline
158 & 0.0955114 & 0.191023 & 0.904489 \tabularnewline
159 & 0.471591 & 0.943183 & 0.528409 \tabularnewline
160 & 0.391405 & 0.782811 & 0.608595 \tabularnewline
161 & 0.357513 & 0.715025 & 0.642487 \tabularnewline
162 & 0.292503 & 0.585005 & 0.707497 \tabularnewline
163 & 0.427664 & 0.855328 & 0.572336 \tabularnewline
164 & 0.342938 & 0.685876 & 0.657062 \tabularnewline
165 & 0.398028 & 0.796057 & 0.601972 \tabularnewline
166 & 0.604944 & 0.790112 & 0.395056 \tabularnewline
167 & 0.869797 & 0.260406 & 0.130203 \tabularnewline
168 & 0.802251 & 0.395497 & 0.197749 \tabularnewline
169 & 0.859176 & 0.281648 & 0.140824 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=231432&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]1.68753e-53[/C][C]3.37505e-53[/C][C]1[/C][/ROW]
[ROW][C]27[/C][C]3.48178e-65[/C][C]6.96355e-65[/C][C]1[/C][/ROW]
[ROW][C]28[/C][C]1.3536e-77[/C][C]2.7072e-77[/C][C]1[/C][/ROW]
[ROW][C]29[/C][C]5.16108e-94[/C][C]1.03222e-93[/C][C]1[/C][/ROW]
[ROW][C]30[/C][C]6.52794e-110[/C][C]1.30559e-109[/C][C]1[/C][/ROW]
[ROW][C]31[/C][C]0.00284122[/C][C]0.00568244[/C][C]0.997159[/C][/ROW]
[ROW][C]32[/C][C]0.00104884[/C][C]0.00209768[/C][C]0.998951[/C][/ROW]
[ROW][C]33[/C][C]0.000353355[/C][C]0.000706709[/C][C]0.999647[/C][/ROW]
[ROW][C]34[/C][C]0.000113926[/C][C]0.000227852[/C][C]0.999886[/C][/ROW]
[ROW][C]35[/C][C]5.83222e-05[/C][C]0.000116644[/C][C]0.999942[/C][/ROW]
[ROW][C]36[/C][C]2.15485e-05[/C][C]4.30969e-05[/C][C]0.999978[/C][/ROW]
[ROW][C]37[/C][C]0.000221928[/C][C]0.000443856[/C][C]0.999778[/C][/ROW]
[ROW][C]38[/C][C]0.000179503[/C][C]0.000359005[/C][C]0.99982[/C][/ROW]
[ROW][C]39[/C][C]0.00114336[/C][C]0.00228671[/C][C]0.998857[/C][/ROW]
[ROW][C]40[/C][C]0.000559921[/C][C]0.00111984[/C][C]0.99944[/C][/ROW]
[ROW][C]41[/C][C]0.000747545[/C][C]0.00149509[/C][C]0.999252[/C][/ROW]
[ROW][C]42[/C][C]0.000506938[/C][C]0.00101388[/C][C]0.999493[/C][/ROW]
[ROW][C]43[/C][C]0.000261089[/C][C]0.000522179[/C][C]0.999739[/C][/ROW]
[ROW][C]44[/C][C]0.000143132[/C][C]0.000286265[/C][C]0.999857[/C][/ROW]
[ROW][C]45[/C][C]7.15521e-05[/C][C]0.000143104[/C][C]0.999928[/C][/ROW]
[ROW][C]46[/C][C]3.34656e-05[/C][C]6.69312e-05[/C][C]0.999967[/C][/ROW]
[ROW][C]47[/C][C]1.70769e-05[/C][C]3.41538e-05[/C][C]0.999983[/C][/ROW]
[ROW][C]48[/C][C]7.76954e-06[/C][C]1.55391e-05[/C][C]0.999992[/C][/ROW]
[ROW][C]49[/C][C]0.000902591[/C][C]0.00180518[/C][C]0.999097[/C][/ROW]
[ROW][C]50[/C][C]0.000929893[/C][C]0.00185979[/C][C]0.99907[/C][/ROW]
[ROW][C]51[/C][C]0.000756179[/C][C]0.00151236[/C][C]0.999244[/C][/ROW]
[ROW][C]52[/C][C]0.000649819[/C][C]0.00129964[/C][C]0.99935[/C][/ROW]
[ROW][C]53[/C][C]0.000693015[/C][C]0.00138603[/C][C]0.999307[/C][/ROW]
[ROW][C]54[/C][C]0.000957862[/C][C]0.00191572[/C][C]0.999042[/C][/ROW]
[ROW][C]55[/C][C]0.00073644[/C][C]0.00147288[/C][C]0.999264[/C][/ROW]
[ROW][C]56[/C][C]0.000701275[/C][C]0.00140255[/C][C]0.999299[/C][/ROW]
[ROW][C]57[/C][C]0.000418434[/C][C]0.000836869[/C][C]0.999582[/C][/ROW]
[ROW][C]58[/C][C]0.000282122[/C][C]0.000564245[/C][C]0.999718[/C][/ROW]
[ROW][C]59[/C][C]0.000191095[/C][C]0.00038219[/C][C]0.999809[/C][/ROW]
[ROW][C]60[/C][C]0.000163172[/C][C]0.000326343[/C][C]0.999837[/C][/ROW]
[ROW][C]61[/C][C]0.012174[/C][C]0.0243481[/C][C]0.987826[/C][/ROW]
[ROW][C]62[/C][C]0.0117062[/C][C]0.0234125[/C][C]0.988294[/C][/ROW]
[ROW][C]63[/C][C]0.0143987[/C][C]0.0287974[/C][C]0.985601[/C][/ROW]
[ROW][C]64[/C][C]0.0164219[/C][C]0.0328439[/C][C]0.983578[/C][/ROW]
[ROW][C]65[/C][C]0.0180072[/C][C]0.0360144[/C][C]0.981993[/C][/ROW]
[ROW][C]66[/C][C]0.0333661[/C][C]0.0667321[/C][C]0.966634[/C][/ROW]
[ROW][C]67[/C][C]0.0279999[/C][C]0.0559997[/C][C]0.972[/C][/ROW]
[ROW][C]68[/C][C]0.0237814[/C][C]0.0475629[/C][C]0.976219[/C][/ROW]
[ROW][C]69[/C][C]0.0273188[/C][C]0.0546376[/C][C]0.972681[/C][/ROW]
[ROW][C]70[/C][C]0.0230756[/C][C]0.0461512[/C][C]0.976924[/C][/ROW]
[ROW][C]71[/C][C]0.018788[/C][C]0.0375761[/C][C]0.981212[/C][/ROW]
[ROW][C]72[/C][C]0.0190338[/C][C]0.0380676[/C][C]0.980966[/C][/ROW]
[ROW][C]73[/C][C]0.0166395[/C][C]0.0332789[/C][C]0.983361[/C][/ROW]
[ROW][C]74[/C][C]0.0227849[/C][C]0.0455698[/C][C]0.977215[/C][/ROW]
[ROW][C]75[/C][C]0.0224817[/C][C]0.0449635[/C][C]0.977518[/C][/ROW]
[ROW][C]76[/C][C]0.0176096[/C][C]0.0352192[/C][C]0.98239[/C][/ROW]
[ROW][C]77[/C][C]0.0166399[/C][C]0.0332798[/C][C]0.98336[/C][/ROW]
[ROW][C]78[/C][C]0.0149967[/C][C]0.0299933[/C][C]0.985003[/C][/ROW]
[ROW][C]79[/C][C]0.0145062[/C][C]0.0290124[/C][C]0.985494[/C][/ROW]
[ROW][C]80[/C][C]0.0126399[/C][C]0.0252798[/C][C]0.98736[/C][/ROW]
[ROW][C]81[/C][C]0.00987107[/C][C]0.0197421[/C][C]0.990129[/C][/ROW]
[ROW][C]82[/C][C]0.00786599[/C][C]0.015732[/C][C]0.992134[/C][/ROW]
[ROW][C]83[/C][C]0.00716876[/C][C]0.0143375[/C][C]0.992831[/C][/ROW]
[ROW][C]84[/C][C]0.00671481[/C][C]0.0134296[/C][C]0.993285[/C][/ROW]
[ROW][C]85[/C][C]0.00708067[/C][C]0.0141613[/C][C]0.992919[/C][/ROW]
[ROW][C]86[/C][C]0.0141368[/C][C]0.0282735[/C][C]0.985863[/C][/ROW]
[ROW][C]87[/C][C]0.0309644[/C][C]0.0619287[/C][C]0.969036[/C][/ROW]
[ROW][C]88[/C][C]0.0314931[/C][C]0.0629862[/C][C]0.968507[/C][/ROW]
[ROW][C]89[/C][C]0.0332874[/C][C]0.0665748[/C][C]0.966713[/C][/ROW]
[ROW][C]90[/C][C]0.0591471[/C][C]0.118294[/C][C]0.940853[/C][/ROW]
[ROW][C]91[/C][C]0.0893649[/C][C]0.17873[/C][C]0.910635[/C][/ROW]
[ROW][C]92[/C][C]0.112849[/C][C]0.225698[/C][C]0.887151[/C][/ROW]
[ROW][C]93[/C][C]0.110644[/C][C]0.221288[/C][C]0.889356[/C][/ROW]
[ROW][C]94[/C][C]0.0916661[/C][C]0.183332[/C][C]0.908334[/C][/ROW]
[ROW][C]95[/C][C]0.0778512[/C][C]0.155702[/C][C]0.922149[/C][/ROW]
[ROW][C]96[/C][C]0.0811924[/C][C]0.162385[/C][C]0.918808[/C][/ROW]
[ROW][C]97[/C][C]0.0764397[/C][C]0.152879[/C][C]0.92356[/C][/ROW]
[ROW][C]98[/C][C]0.112816[/C][C]0.225632[/C][C]0.887184[/C][/ROW]
[ROW][C]99[/C][C]0.118386[/C][C]0.236772[/C][C]0.881614[/C][/ROW]
[ROW][C]100[/C][C]0.135031[/C][C]0.270061[/C][C]0.864969[/C][/ROW]
[ROW][C]101[/C][C]0.151135[/C][C]0.30227[/C][C]0.848865[/C][/ROW]
[ROW][C]102[/C][C]0.13925[/C][C]0.2785[/C][C]0.86075[/C][/ROW]
[ROW][C]103[/C][C]0.12694[/C][C]0.253881[/C][C]0.87306[/C][/ROW]
[ROW][C]104[/C][C]0.121481[/C][C]0.242961[/C][C]0.878519[/C][/ROW]
[ROW][C]105[/C][C]0.110522[/C][C]0.221043[/C][C]0.889478[/C][/ROW]
[ROW][C]106[/C][C]0.117984[/C][C]0.235968[/C][C]0.882016[/C][/ROW]
[ROW][C]107[/C][C]0.122108[/C][C]0.244216[/C][C]0.877892[/C][/ROW]
[ROW][C]108[/C][C]0.106639[/C][C]0.213279[/C][C]0.893361[/C][/ROW]
[ROW][C]109[/C][C]0.0871778[/C][C]0.174356[/C][C]0.912822[/C][/ROW]
[ROW][C]110[/C][C]0.0771208[/C][C]0.154242[/C][C]0.922879[/C][/ROW]
[ROW][C]111[/C][C]0.0628832[/C][C]0.125766[/C][C]0.937117[/C][/ROW]
[ROW][C]112[/C][C]0.0577391[/C][C]0.115478[/C][C]0.942261[/C][/ROW]
[ROW][C]113[/C][C]0.0455589[/C][C]0.0911177[/C][C]0.954441[/C][/ROW]
[ROW][C]114[/C][C]0.0428664[/C][C]0.0857327[/C][C]0.957134[/C][/ROW]
[ROW][C]115[/C][C]0.0381028[/C][C]0.0762055[/C][C]0.961897[/C][/ROW]
[ROW][C]116[/C][C]0.0294724[/C][C]0.0589448[/C][C]0.970528[/C][/ROW]
[ROW][C]117[/C][C]0.0240935[/C][C]0.0481871[/C][C]0.975906[/C][/ROW]
[ROW][C]118[/C][C]0.0189116[/C][C]0.0378232[/C][C]0.981088[/C][/ROW]
[ROW][C]119[/C][C]0.0149719[/C][C]0.0299437[/C][C]0.985028[/C][/ROW]
[ROW][C]120[/C][C]0.0207683[/C][C]0.0415366[/C][C]0.979232[/C][/ROW]
[ROW][C]121[/C][C]0.0171438[/C][C]0.0342877[/C][C]0.982856[/C][/ROW]
[ROW][C]122[/C][C]0.016643[/C][C]0.0332859[/C][C]0.983357[/C][/ROW]
[ROW][C]123[/C][C]0.0165926[/C][C]0.0331853[/C][C]0.983407[/C][/ROW]
[ROW][C]124[/C][C]0.0122973[/C][C]0.0245946[/C][C]0.987703[/C][/ROW]
[ROW][C]125[/C][C]0.0091857[/C][C]0.0183714[/C][C]0.990814[/C][/ROW]
[ROW][C]126[/C][C]0.00724992[/C][C]0.0144998[/C][C]0.99275[/C][/ROW]
[ROW][C]127[/C][C]0.00571261[/C][C]0.0114252[/C][C]0.994287[/C][/ROW]
[ROW][C]128[/C][C]0.00661997[/C][C]0.0132399[/C][C]0.99338[/C][/ROW]
[ROW][C]129[/C][C]0.00628568[/C][C]0.0125714[/C][C]0.993714[/C][/ROW]
[ROW][C]130[/C][C]0.00580783[/C][C]0.0116157[/C][C]0.994192[/C][/ROW]
[ROW][C]131[/C][C]0.00409163[/C][C]0.00818326[/C][C]0.995908[/C][/ROW]
[ROW][C]132[/C][C]0.00304609[/C][C]0.00609218[/C][C]0.996954[/C][/ROW]
[ROW][C]133[/C][C]0.00265183[/C][C]0.00530367[/C][C]0.997348[/C][/ROW]
[ROW][C]134[/C][C]0.0026016[/C][C]0.00520321[/C][C]0.997398[/C][/ROW]
[ROW][C]135[/C][C]0.00205158[/C][C]0.00410317[/C][C]0.997948[/C][/ROW]
[ROW][C]136[/C][C]0.00250102[/C][C]0.00500204[/C][C]0.997499[/C][/ROW]
[ROW][C]137[/C][C]0.00371391[/C][C]0.00742782[/C][C]0.996286[/C][/ROW]
[ROW][C]138[/C][C]0.00359224[/C][C]0.00718448[/C][C]0.996408[/C][/ROW]
[ROW][C]139[/C][C]0.00252121[/C][C]0.00504243[/C][C]0.997479[/C][/ROW]
[ROW][C]140[/C][C]0.0066986[/C][C]0.0133972[/C][C]0.993301[/C][/ROW]
[ROW][C]141[/C][C]0.00522972[/C][C]0.0104594[/C][C]0.99477[/C][/ROW]
[ROW][C]142[/C][C]0.00454178[/C][C]0.00908356[/C][C]0.995458[/C][/ROW]
[ROW][C]143[/C][C]0.00387264[/C][C]0.00774527[/C][C]0.996127[/C][/ROW]
[ROW][C]144[/C][C]0.00482812[/C][C]0.00965624[/C][C]0.995172[/C][/ROW]
[ROW][C]145[/C][C]0.00437087[/C][C]0.00874175[/C][C]0.995629[/C][/ROW]
[ROW][C]146[/C][C]0.00297109[/C][C]0.00594219[/C][C]0.997029[/C][/ROW]
[ROW][C]147[/C][C]0.00252384[/C][C]0.00504769[/C][C]0.997476[/C][/ROW]
[ROW][C]148[/C][C]0.00169731[/C][C]0.00339461[/C][C]0.998303[/C][/ROW]
[ROW][C]149[/C][C]0.00272539[/C][C]0.00545077[/C][C]0.997275[/C][/ROW]
[ROW][C]150[/C][C]0.00237252[/C][C]0.00474505[/C][C]0.997627[/C][/ROW]
[ROW][C]151[/C][C]0.00272527[/C][C]0.00545053[/C][C]0.997275[/C][/ROW]
[ROW][C]152[/C][C]0.0036785[/C][C]0.00735699[/C][C]0.996322[/C][/ROW]
[ROW][C]153[/C][C]0.0583313[/C][C]0.116663[/C][C]0.941669[/C][/ROW]
[ROW][C]154[/C][C]0.0492541[/C][C]0.0985083[/C][C]0.950746[/C][/ROW]
[ROW][C]155[/C][C]0.0571709[/C][C]0.114342[/C][C]0.942829[/C][/ROW]
[ROW][C]156[/C][C]0.0560271[/C][C]0.112054[/C][C]0.943973[/C][/ROW]
[ROW][C]157[/C][C]0.130515[/C][C]0.261031[/C][C]0.869485[/C][/ROW]
[ROW][C]158[/C][C]0.0955114[/C][C]0.191023[/C][C]0.904489[/C][/ROW]
[ROW][C]159[/C][C]0.471591[/C][C]0.943183[/C][C]0.528409[/C][/ROW]
[ROW][C]160[/C][C]0.391405[/C][C]0.782811[/C][C]0.608595[/C][/ROW]
[ROW][C]161[/C][C]0.357513[/C][C]0.715025[/C][C]0.642487[/C][/ROW]
[ROW][C]162[/C][C]0.292503[/C][C]0.585005[/C][C]0.707497[/C][/ROW]
[ROW][C]163[/C][C]0.427664[/C][C]0.855328[/C][C]0.572336[/C][/ROW]
[ROW][C]164[/C][C]0.342938[/C][C]0.685876[/C][C]0.657062[/C][/ROW]
[ROW][C]165[/C][C]0.398028[/C][C]0.796057[/C][C]0.601972[/C][/ROW]
[ROW][C]166[/C][C]0.604944[/C][C]0.790112[/C][C]0.395056[/C][/ROW]
[ROW][C]167[/C][C]0.869797[/C][C]0.260406[/C][C]0.130203[/C][/ROW]
[ROW][C]168[/C][C]0.802251[/C][C]0.395497[/C][C]0.197749[/C][/ROW]
[ROW][C]169[/C][C]0.859176[/C][C]0.281648[/C][C]0.140824[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=231432&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=231432&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
261.68753e-533.37505e-531
273.48178e-656.96355e-651
281.3536e-772.7072e-771
295.16108e-941.03222e-931
306.52794e-1101.30559e-1091
310.002841220.005682440.997159
320.001048840.002097680.998951
330.0003533550.0007067090.999647
340.0001139260.0002278520.999886
355.83222e-050.0001166440.999942
362.15485e-054.30969e-050.999978
370.0002219280.0004438560.999778
380.0001795030.0003590050.99982
390.001143360.002286710.998857
400.0005599210.001119840.99944
410.0007475450.001495090.999252
420.0005069380.001013880.999493
430.0002610890.0005221790.999739
440.0001431320.0002862650.999857
457.15521e-050.0001431040.999928
463.34656e-056.69312e-050.999967
471.70769e-053.41538e-050.999983
487.76954e-061.55391e-050.999992
490.0009025910.001805180.999097
500.0009298930.001859790.99907
510.0007561790.001512360.999244
520.0006498190.001299640.99935
530.0006930150.001386030.999307
540.0009578620.001915720.999042
550.000736440.001472880.999264
560.0007012750.001402550.999299
570.0004184340.0008368690.999582
580.0002821220.0005642450.999718
590.0001910950.000382190.999809
600.0001631720.0003263430.999837
610.0121740.02434810.987826
620.01170620.02341250.988294
630.01439870.02879740.985601
640.01642190.03284390.983578
650.01800720.03601440.981993
660.03336610.06673210.966634
670.02799990.05599970.972
680.02378140.04756290.976219
690.02731880.05463760.972681
700.02307560.04615120.976924
710.0187880.03757610.981212
720.01903380.03806760.980966
730.01663950.03327890.983361
740.02278490.04556980.977215
750.02248170.04496350.977518
760.01760960.03521920.98239
770.01663990.03327980.98336
780.01499670.02999330.985003
790.01450620.02901240.985494
800.01263990.02527980.98736
810.009871070.01974210.990129
820.007865990.0157320.992134
830.007168760.01433750.992831
840.006714810.01342960.993285
850.007080670.01416130.992919
860.01413680.02827350.985863
870.03096440.06192870.969036
880.03149310.06298620.968507
890.03328740.06657480.966713
900.05914710.1182940.940853
910.08936490.178730.910635
920.1128490.2256980.887151
930.1106440.2212880.889356
940.09166610.1833320.908334
950.07785120.1557020.922149
960.08119240.1623850.918808
970.07643970.1528790.92356
980.1128160.2256320.887184
990.1183860.2367720.881614
1000.1350310.2700610.864969
1010.1511350.302270.848865
1020.139250.27850.86075
1030.126940.2538810.87306
1040.1214810.2429610.878519
1050.1105220.2210430.889478
1060.1179840.2359680.882016
1070.1221080.2442160.877892
1080.1066390.2132790.893361
1090.08717780.1743560.912822
1100.07712080.1542420.922879
1110.06288320.1257660.937117
1120.05773910.1154780.942261
1130.04555890.09111770.954441
1140.04286640.08573270.957134
1150.03810280.07620550.961897
1160.02947240.05894480.970528
1170.02409350.04818710.975906
1180.01891160.03782320.981088
1190.01497190.02994370.985028
1200.02076830.04153660.979232
1210.01714380.03428770.982856
1220.0166430.03328590.983357
1230.01659260.03318530.983407
1240.01229730.02459460.987703
1250.00918570.01837140.990814
1260.007249920.01449980.99275
1270.005712610.01142520.994287
1280.006619970.01323990.99338
1290.006285680.01257140.993714
1300.005807830.01161570.994192
1310.004091630.008183260.995908
1320.003046090.006092180.996954
1330.002651830.005303670.997348
1340.00260160.005203210.997398
1350.002051580.004103170.997948
1360.002501020.005002040.997499
1370.003713910.007427820.996286
1380.003592240.007184480.996408
1390.002521210.005042430.997479
1400.00669860.01339720.993301
1410.005229720.01045940.99477
1420.004541780.009083560.995458
1430.003872640.007745270.996127
1440.004828120.009656240.995172
1450.004370870.008741750.995629
1460.002971090.005942190.997029
1470.002523840.005047690.997476
1480.001697310.003394610.998303
1490.002725390.005450770.997275
1500.002372520.004745050.997627
1510.002725270.005450530.997275
1520.00367850.007356990.996322
1530.05833130.1166630.941669
1540.04925410.09850830.950746
1550.05717090.1143420.942829
1560.05602710.1120540.943973
1570.1305150.2610310.869485
1580.09551140.1910230.904489
1590.4715910.9431830.528409
1600.3914050.7828110.608595
1610.3575130.7150250.642487
1620.2925030.5850050.707497
1630.4276640.8553280.572336
1640.3429380.6858760.657062
1650.3980280.7960570.601972
1660.6049440.7901120.395056
1670.8697970.2604060.130203
1680.8022510.3954970.197749
1690.8591760.2816480.140824






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level550.381944NOK
5% type I error level940.652778NOK
10% type I error level1050.729167NOK

\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 & 55 & 0.381944 & NOK \tabularnewline
5% type I error level & 94 & 0.652778 & NOK \tabularnewline
10% type I error level & 105 & 0.729167 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=231432&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]55[/C][C]0.381944[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]94[/C][C]0.652778[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]105[/C][C]0.729167[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=231432&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=231432&T=6

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

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level550.381944NOK
5% type I error level940.652778NOK
10% type I error level1050.729167NOK


Figures (Output of Computation)

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Input Parameters & R Code

Parameters (Session):
par1 = 16 ; par2 = Do not include Seasonal Dummies ; par3 = Linear Trend ;
Parameters (R input):
par1 = 16 ; par2 = Do not include Seasonal Dummies ; par3 = Linear Trend ;
R code (references can be found in the software module):
library(lattice)
library(lmtest)
n25 <- 25 #minimum number of obs. for Goldfeld-Quandt test
par1 <- as.numeric(par1)
x <- t(y)
k <- length(x[1,])
n <- length(x[,1])
x1 <- cbind(x[,par1], x[,1:k!=par1])
mycolnames <- c(colnames(x)[par1], colnames(x)[1:k!=par1])
colnames(x1) <- mycolnames #colnames(x)[par1]
x <- x1
if (par3 == 'First Differences'){
x2 <- array(0, dim=c(n-1,k), dimnames=list(1:(n-1), paste('(1-B)',colnames(x),sep='')))
for (i in 1:n-1) {
for (j in 1:k) {
x2[i,j] <- x[i+1,j] - x[i,j]
}
}
x <- x2
}
if (par2 == 'Include Monthly Dummies'){
x2 <- array(0, dim=c(n,11), dimnames=list(1:n, paste('M', seq(1:11), sep ='')))
for (i in 1:11){
x2[seq(i,n,12),i] <- 1
}
x <- cbind(x, x2)
}
if (par2 == 'Include Quarterly Dummies'){
x2 <- array(0, dim=c(n,3), dimnames=list(1:n, paste('Q', seq(1:3), sep ='')))
for (i in 1:3){
x2[seq(i,n,4),i] <- 1
}
x <- cbind(x, x2)
}
k <- length(x[1,])
if (par3 == 'Linear Trend'){
x <- cbind(x, c(1:n))
colnames(x)[k+1] <- 't'
}
x
k <- length(x[1,])
df <- as.data.frame(x)
(mylm <- lm(df))
(mysum <- summary(mylm))
if (n > n25) {
kp3 <- k + 3
nmkm3 <- n - k - 3
gqarr <- array(NA, dim=c(nmkm3-kp3+1,3))
numgqtests <- 0
numsignificant1 <- 0
numsignificant5 <- 0
numsignificant10 <- 0
for (mypoint in kp3:nmkm3) {
j <- 0
numgqtests <- numgqtests + 1
for (myalt in c('greater', 'two.sided', 'less')) {
j <- j + 1
gqarr[mypoint-kp3+1,j] <- gqtest(mylm, point=mypoint, alternative=myalt)$p.value
}
if (gqarr[mypoint-kp3+1,2] < 0.01) numsignificant1 <- numsignificant1 + 1
if (gqarr[mypoint-kp3+1,2] < 0.05) numsignificant5 <- numsignificant5 + 1
if (gqarr[mypoint-kp3+1,2] < 0.10) numsignificant10 <- numsignificant10 + 1
}
gqarr
}
bitmap(file='test0.png')
plot(x[,1], type='l', main='Actuals and Interpolation', ylab='value of Actuals and Interpolation (dots)', xlab='time or index')
points(x[,1]-mysum$resid)
grid()
dev.off()
bitmap(file='test1.png')
plot(mysum$resid, type='b', pch=19, main='Residuals', ylab='value of Residuals', xlab='time or index')
grid()
dev.off()
bitmap(file='test2.png')
hist(mysum$resid, main='Residual Histogram', xlab='values of Residuals')
grid()
dev.off()
bitmap(file='test3.png')
densityplot(~mysum$resid,col='black',main='Residual Density Plot', xlab='values of Residuals')
dev.off()
bitmap(file='test4.png')
qqnorm(mysum$resid, main='Residual Normal Q-Q Plot')
qqline(mysum$resid)
grid()
dev.off()
(myerror <- as.ts(mysum$resid))
bitmap(file='test5.png')
dum <- cbind(lag(myerror,k=1),myerror)
dum
dum1 <- dum[2:length(myerror),]
dum1
z <- as.data.frame(dum1)
z
plot(z,main=paste('Residual Lag plot, lowess, and regression line'), ylab='values of Residuals', xlab='lagged values of Residuals')
lines(lowess(z))
abline(lm(z))
grid()
dev.off()
bitmap(file='test6.png')
acf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Autocorrelation Function')
grid()
dev.off()
bitmap(file='test7.png')
pacf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Partial Autocorrelation Function')
grid()
dev.off()
bitmap(file='test8.png')
opar <- par(mfrow = c(2,2), oma = c(0, 0, 1.1, 0))
plot(mylm, las = 1, sub='Residual Diagnostics')
par(opar)
dev.off()
if (n > n25) {
bitmap(file='test9.png')
plot(kp3:nmkm3,gqarr[,2], main='Goldfeld-Quandt test',ylab='2-sided p-value',xlab='breakpoint')
grid()
dev.off()
}
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Estimated Regression Equation', 1, TRUE)
a<-table.row.end(a)
myeq <- colnames(x)[1]
myeq <- paste(myeq, '[t] = ', sep='')
for (i in 1:k){
if (mysum$coefficients[i,1] > 0) myeq <- paste(myeq, '+', '')
myeq <- paste(myeq, signif(mysum$coefficients[i,1],6), sep=' ')
if (rownames(mysum$coefficients)[i] != '(Intercept)') {
myeq <- paste(myeq, rownames(mysum$coefficients)[i], sep='')
if (rownames(mysum$coefficients)[i] != 't') myeq <- paste(myeq, '[t]', sep='')
}
}
myeq <- paste(myeq, ' + e[t]')
a<-table.row.start(a)
a<-table.element(a, myeq)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable1.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,hyperlink('ols1.htm','Multiple Linear Regression - Ordinary Least Squares',''), 6, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Variable',header=TRUE)
a<-table.element(a,'Parameter',header=TRUE)
a<-table.element(a,'S.D.',header=TRUE)
a<-table.element(a,'T-STAT
H0: parameter = 0',header=TRUE)
a<-table.element(a,'2-tail p-value',header=TRUE)
a<-table.element(a,'1-tail p-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:k){
a<-table.row.start(a)
a<-table.element(a,rownames(mysum$coefficients)[i],header=TRUE)
a<-table.element(a,signif(mysum$coefficients[i,1],6))
a<-table.element(a, signif(mysum$coefficients[i,2],6))
a<-table.element(a, signif(mysum$coefficients[i,3],4))
a<-table.element(a, signif(mysum$coefficients[i,4],6))
a<-table.element(a, signif(mysum$coefficients[i,4]/2,6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable2.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Regression Statistics', 2, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Multiple R',1,TRUE)
a<-table.element(a, signif(sqrt(mysum$r.squared),6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'R-squared',1,TRUE)
a<-table.element(a, signif(mysum$r.squared,6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Adjusted R-squared',1,TRUE)
a<-table.element(a, signif(mysum$adj.r.squared,6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (value)',1,TRUE)
a<-table.element(a, signif(mysum$fstatistic[1],6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (DF numerator)',1,TRUE)
a<-table.element(a, signif(mysum$fstatistic[2],6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (DF denominator)',1,TRUE)
a<-table.element(a, signif(mysum$fstatistic[3],6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'p-value',1,TRUE)
a<-table.element(a, signif(1-pf(mysum$fstatistic[1],mysum$fstatistic[2],mysum$fstatistic[3]),6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Residual Statistics', 2, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Residual Standard Deviation',1,TRUE)
a<-table.element(a, signif(mysum$sigma,6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Sum Squared Residuals',1,TRUE)
a<-table.element(a, signif(sum(myerror*myerror),6))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable3.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Actuals, Interpolation, and Residuals', 4, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Time or Index', 1, TRUE)
a<-table.element(a, 'Actuals', 1, TRUE)
a<-table.element(a, 'Interpolation
Forecast', 1, TRUE)
a<-table.element(a, 'Residuals
Prediction Error', 1, TRUE)
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,i, 1, TRUE)
a<-table.element(a,signif(x[i],6))
a<-table.element(a,signif(x[i]-mysum$resid[i],6))
a<-table.element(a,signif(mysum$resid[i],6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable4.tab')
if (n > n25) {
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Goldfeld-Quandt test for Heteroskedasticity',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'p-values',header=TRUE)
a<-table.element(a,'Alternative Hypothesis',3,header=TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'breakpoint index',header=TRUE)
a<-table.element(a,'greater',header=TRUE)
a<-table.element(a,'2-sided',header=TRUE)
a<-table.element(a,'less',header=TRUE)
a<-table.row.end(a)
for (mypoint in kp3:nmkm3) {
a<-table.row.start(a)
a<-table.element(a,mypoint,header=TRUE)
a<-table.element(a,signif(gqarr[mypoint-kp3+1,1],6))
a<-table.element(a,signif(gqarr[mypoint-kp3+1,2],6))
a<-table.element(a,signif(gqarr[mypoint-kp3+1,3],6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable5.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Description',header=TRUE)
a<-table.element(a,'# significant tests',header=TRUE)
a<-table.element(a,'% significant tests',header=TRUE)
a<-table.element(a,'OK/NOK',header=TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'1% type I error level',header=TRUE)
a<-table.element(a,signif(numsignificant1,6))
a<-table.element(a,signif(numsignificant1/numgqtests,6))
if (numsignificant1/numgqtests < 0.01) dum <- 'OK' else dum <- 'NOK'
a<-table.element(a,dum)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'5% type I error level',header=TRUE)
a<-table.element(a,signif(numsignificant5,6))
a<-table.element(a,signif(numsignificant5/numgqtests,6))
if (numsignificant5/numgqtests < 0.05) dum <- 'OK' else dum <- 'NOK'
a<-table.element(a,dum)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'10% type I error level',header=TRUE)
a<-table.element(a,signif(numsignificant10,6))
a<-table.element(a,signif(numsignificant10/numgqtests,6))
if (numsignificant10/numgqtests < 0.1) dum <- 'OK' else dum <- 'NOK'
a<-table.element(a,dum)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable6.tab')
}