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R Software Module

rwasp_multipleregression.wasp

Title produced by software

Multiple Regression

Date of computation

Sun, 08 Dec 2013 06:55:36 -0500

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Dec/08/t1386503812vv9wleista1eyjn.htm/, Retrieved Tue, 23 Apr 2024 12:24:22 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=231431, Retrieved Tue, 23 Apr 2024 12:24:22 +0000

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IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

121

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

-       [Multiple Regression] [] [2013-12-08 11:55:36] [dbceeb23fcf622ba260f793fe955ad62] [Current]

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Dataseries X:

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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

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	39 seconds
R Server	'Sir Ronald Aylmer Fisher' @ fisher.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 39 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=231431&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]39 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=231431&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=231431&T=0

As an alternative you can also use a QR Code:

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

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	39 seconds
R Server	'Sir Ronald Aylmer Fisher' @ fisher.wessa.net

Multiple Linear Regression - Estimated Regression Equation
status[t] = + 2.12152 -0.00205772`MDVP:Fo(Hz)`[t] -0.000160532`MDVP:Fhi(Hz)`[t] -0.00160039`MDVP:Flo(Hz)`[t] -189.054`MDVP:Jitter(%)`[t] -3486.65`MDVP:Jitter(Abs)`[t] + 50.5909`MDVP:RAP`[t] -19.0523`MDVP:PPQ`[t] + 82.6813`Jitter:DDP`[t] + 32.3002`MDVP:Shimmer`[t] + 0.559556`MDVP:Shimmer(dB)`[t] -527.429`Shimmer:APQ3`[t] -28.6202`Shimmer:APQ5`[t] -4.58067`MDVP:APQ`[t] + 167.445`Shimmer:DDA`[t] -0.0136496HNR[t] -0.996443RPDE[t] + 0.714837DFA[t] + 0.150265spread1[t] + 1.16425spread2[t] + 0.0376355D2[t] + 1.2366PPE[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
status[t] =  +  2.12152 -0.00205772`MDVP:Fo(Hz)`[t] -0.000160532`MDVP:Fhi(Hz)`[t] -0.00160039`MDVP:Flo(Hz)`[t] -189.054`MDVP:Jitter(%)`[t] -3486.65`MDVP:Jitter(Abs)`[t] +  50.5909`MDVP:RAP`[t] -19.0523`MDVP:PPQ`[t] +  82.6813`Jitter:DDP`[t] +  32.3002`MDVP:Shimmer`[t] +  0.559556`MDVP:Shimmer(dB)`[t] -527.429`Shimmer:APQ3`[t] -28.6202`Shimmer:APQ5`[t] -4.58067`MDVP:APQ`[t] +  167.445`Shimmer:DDA`[t] -0.0136496HNR[t] -0.996443RPDE[t] +  0.714837DFA[t] +  0.150265spread1[t] +  1.16425spread2[t] +  0.0376355D2[t] +  1.2366PPE[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=231431&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]status[t] =  +  2.12152 -0.00205772`MDVP:Fo(Hz)`[t] -0.000160532`MDVP:Fhi(Hz)`[t] -0.00160039`MDVP:Flo(Hz)`[t] -189.054`MDVP:Jitter(%)`[t] -3486.65`MDVP:Jitter(Abs)`[t] +  50.5909`MDVP:RAP`[t] -19.0523`MDVP:PPQ`[t] +  82.6813`Jitter:DDP`[t] +  32.3002`MDVP:Shimmer`[t] +  0.559556`MDVP:Shimmer(dB)`[t] -527.429`Shimmer:APQ3`[t] -28.6202`Shimmer:APQ5`[t] -4.58067`MDVP:APQ`[t] +  167.445`Shimmer:DDA`[t] -0.0136496HNR[t] -0.996443RPDE[t] +  0.714837DFA[t] +  0.150265spread1[t] +  1.16425spread2[t] +  0.0376355D2[t] +  1.2366PPE[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=231431&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=231431&T=1

As an alternative you can also use a QR Code:

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

Multiple Linear Regression - Estimated Regression Equation
status[t] = + 2.12152 -0.00205772`MDVP:Fo(Hz)`[t] -0.000160532`MDVP:Fhi(Hz)`[t] -0.00160039`MDVP:Flo(Hz)`[t] -189.054`MDVP:Jitter(%)`[t] -3486.65`MDVP:Jitter(Abs)`[t] + 50.5909`MDVP:RAP`[t] -19.0523`MDVP:PPQ`[t] + 82.6813`Jitter:DDP`[t] + 32.3002`MDVP:Shimmer`[t] + 0.559556`MDVP:Shimmer(dB)`[t] -527.429`Shimmer:APQ3`[t] -28.6202`Shimmer:APQ5`[t] -4.58067`MDVP:APQ`[t] + 167.445`Shimmer:DDA`[t] -0.0136496HNR[t] -0.996443RPDE[t] + 0.714837DFA[t] + 0.150265spread1[t] + 1.16425spread2[t] + 0.0376355D2[t] + 1.2366PPE[t] + e[t]

Multiple Linear Regression - Ordinary Least Squares
Variable	Parameter	S.D.	T-STATH0: parameter = 0	2-tail p-value	1-tail p-value
(Intercept)	2.12152	1.15764	1.833	0.0685769	0.0342884
`MDVP:Fo(Hz)`	-0.00205772	0.00149086	-1.38	0.169298	0.0846488
`MDVP:Fhi(Hz)`	-0.000160532	0.000319664	-0.5022	0.616171	0.308086
`MDVP:Flo(Hz)`	-0.00160039	0.000802129	-1.995	0.0475931	0.0237966
`MDVP:Jitter(%)`	-189.054	66.469	-2.844	0.0049887	0.00249435
`MDVP:Jitter(Abs)`	-3486.65	4632.2	-0.7527	0.452655	0.226327
`MDVP:RAP`	50.5909	9327.07	0.005424	0.995678	0.497839
`MDVP:PPQ`	-19.0523	87.5207	-0.2177	0.827928	0.413964
`Jitter:DDP`	82.6813	3109.45	0.02659	0.978817	0.489409
`MDVP:Shimmer`	32.3002	34.133	0.9463	0.345313	0.172656
`MDVP:Shimmer(dB)`	0.559556	1.20145	0.4657	0.641993	0.320996
`Shimmer:APQ3`	-527.429	8984.33	-0.05871	0.953254	0.476627
`Shimmer:APQ5`	-28.6202	20.0834	-1.425	0.155941	0.0779703
`MDVP:APQ`	-4.58067	10.8464	-0.4223	0.673316	0.336658
`Shimmer:DDA`	167.445	2993.97	0.05593	0.955464	0.477732
HNR	-0.0136496	0.0142791	-0.9559	0.340449	0.170224
RPDE	-0.996443	0.440106	-2.264	0.0248099	0.012405
DFA	0.714837	0.684698	1.044	0.297934	0.148967
spread1	0.150265	0.0964013	1.559	0.120885	0.0604425
spread2	1.16425	0.472206	2.466	0.0146559	0.00732794
D2	0.0376355	0.114153	0.3297	0.742031	0.371016
PPE	1.2366	1.38569	0.8924	0.373413	0.186707

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Ordinary Least Squares \tabularnewline
Variable & Parameter & S.D. & T-STATH0: parameter = 0 & 2-tail p-value & 1-tail p-value \tabularnewline
(Intercept) & 2.12152 & 1.15764 & 1.833 & 0.0685769 & 0.0342884 \tabularnewline
`MDVP:Fo(Hz)` & -0.00205772 & 0.00149086 & -1.38 & 0.169298 & 0.0846488 \tabularnewline
`MDVP:Fhi(Hz)` & -0.000160532 & 0.000319664 & -0.5022 & 0.616171 & 0.308086 \tabularnewline
`MDVP:Flo(Hz)` & -0.00160039 & 0.000802129 & -1.995 & 0.0475931 & 0.0237966 \tabularnewline
`MDVP:Jitter(%)` & -189.054 & 66.469 & -2.844 & 0.0049887 & 0.00249435 \tabularnewline
`MDVP:Jitter(Abs)` & -3486.65 & 4632.2 & -0.7527 & 0.452655 & 0.226327 \tabularnewline
`MDVP:RAP` & 50.5909 & 9327.07 & 0.005424 & 0.995678 & 0.497839 \tabularnewline
`MDVP:PPQ` & -19.0523 & 87.5207 & -0.2177 & 0.827928 & 0.413964 \tabularnewline
`Jitter:DDP` & 82.6813 & 3109.45 & 0.02659 & 0.978817 & 0.489409 \tabularnewline
`MDVP:Shimmer` & 32.3002 & 34.133 & 0.9463 & 0.345313 & 0.172656 \tabularnewline
`MDVP:Shimmer(dB)` & 0.559556 & 1.20145 & 0.4657 & 0.641993 & 0.320996 \tabularnewline
`Shimmer:APQ3` & -527.429 & 8984.33 & -0.05871 & 0.953254 & 0.476627 \tabularnewline
`Shimmer:APQ5` & -28.6202 & 20.0834 & -1.425 & 0.155941 & 0.0779703 \tabularnewline
`MDVP:APQ` & -4.58067 & 10.8464 & -0.4223 & 0.673316 & 0.336658 \tabularnewline
`Shimmer:DDA` & 167.445 & 2993.97 & 0.05593 & 0.955464 & 0.477732 \tabularnewline
HNR & -0.0136496 & 0.0142791 & -0.9559 & 0.340449 & 0.170224 \tabularnewline
RPDE & -0.996443 & 0.440106 & -2.264 & 0.0248099 & 0.012405 \tabularnewline
DFA & 0.714837 & 0.684698 & 1.044 & 0.297934 & 0.148967 \tabularnewline
spread1 & 0.150265 & 0.0964013 & 1.559 & 0.120885 & 0.0604425 \tabularnewline
spread2 & 1.16425 & 0.472206 & 2.466 & 0.0146559 & 0.00732794 \tabularnewline
D2 & 0.0376355 & 0.114153 & 0.3297 & 0.742031 & 0.371016 \tabularnewline
PPE & 1.2366 & 1.38569 & 0.8924 & 0.373413 & 0.186707 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=231431&T=2

[TABLE]
[ROW][C]Multiple Linear Regression - Ordinary Least Squares[/C][/ROW]
[ROW][C]Variable[/C][C]Parameter[/C][C]S.D.[/C][C]T-STATH0: parameter = 0[/C][C]2-tail p-value[/C][C]1-tail p-value[/C][/ROW]
[ROW][C](Intercept)[/C][C]2.12152[/C][C]1.15764[/C][C]1.833[/C][C]0.0685769[/C][C]0.0342884[/C][/ROW]
[ROW][C]`MDVP:Fo(Hz)`[/C][C]-0.00205772[/C][C]0.00149086[/C][C]-1.38[/C][C]0.169298[/C][C]0.0846488[/C][/ROW]
[ROW][C]`MDVP:Fhi(Hz)`[/C][C]-0.000160532[/C][C]0.000319664[/C][C]-0.5022[/C][C]0.616171[/C][C]0.308086[/C][/ROW]
[ROW][C]`MDVP:Flo(Hz)`[/C][C]-0.00160039[/C][C]0.000802129[/C][C]-1.995[/C][C]0.0475931[/C][C]0.0237966[/C][/ROW]
[ROW][C]`MDVP:Jitter(%)`[/C][C]-189.054[/C][C]66.469[/C][C]-2.844[/C][C]0.0049887[/C][C]0.00249435[/C][/ROW]
[ROW][C]`MDVP:Jitter(Abs)`[/C][C]-3486.65[/C][C]4632.2[/C][C]-0.7527[/C][C]0.452655[/C][C]0.226327[/C][/ROW]
[ROW][C]`MDVP:RAP`[/C][C]50.5909[/C][C]9327.07[/C][C]0.005424[/C][C]0.995678[/C][C]0.497839[/C][/ROW]
[ROW][C]`MDVP:PPQ`[/C][C]-19.0523[/C][C]87.5207[/C][C]-0.2177[/C][C]0.827928[/C][C]0.413964[/C][/ROW]
[ROW][C]`Jitter:DDP`[/C][C]82.6813[/C][C]3109.45[/C][C]0.02659[/C][C]0.978817[/C][C]0.489409[/C][/ROW]
[ROW][C]`MDVP:Shimmer`[/C][C]32.3002[/C][C]34.133[/C][C]0.9463[/C][C]0.345313[/C][C]0.172656[/C][/ROW]
[ROW][C]`MDVP:Shimmer(dB)`[/C][C]0.559556[/C][C]1.20145[/C][C]0.4657[/C][C]0.641993[/C][C]0.320996[/C][/ROW]
[ROW][C]`Shimmer:APQ3`[/C][C]-527.429[/C][C]8984.33[/C][C]-0.05871[/C][C]0.953254[/C][C]0.476627[/C][/ROW]
[ROW][C]`Shimmer:APQ5`[/C][C]-28.6202[/C][C]20.0834[/C][C]-1.425[/C][C]0.155941[/C][C]0.0779703[/C][/ROW]
[ROW][C]`MDVP:APQ`[/C][C]-4.58067[/C][C]10.8464[/C][C]-0.4223[/C][C]0.673316[/C][C]0.336658[/C][/ROW]
[ROW][C]`Shimmer:DDA`[/C][C]167.445[/C][C]2993.97[/C][C]0.05593[/C][C]0.955464[/C][C]0.477732[/C][/ROW]
[ROW][C]HNR[/C][C]-0.0136496[/C][C]0.0142791[/C][C]-0.9559[/C][C]0.340449[/C][C]0.170224[/C][/ROW]
[ROW][C]RPDE[/C][C]-0.996443[/C][C]0.440106[/C][C]-2.264[/C][C]0.0248099[/C][C]0.012405[/C][/ROW]
[ROW][C]DFA[/C][C]0.714837[/C][C]0.684698[/C][C]1.044[/C][C]0.297934[/C][C]0.148967[/C][/ROW]
[ROW][C]spread1[/C][C]0.150265[/C][C]0.0964013[/C][C]1.559[/C][C]0.120885[/C][C]0.0604425[/C][/ROW]
[ROW][C]spread2[/C][C]1.16425[/C][C]0.472206[/C][C]2.466[/C][C]0.0146559[/C][C]0.00732794[/C][/ROW]
[ROW][C]D2[/C][C]0.0376355[/C][C]0.114153[/C][C]0.3297[/C][C]0.742031[/C][C]0.371016[/C][/ROW]
[ROW][C]PPE[/C][C]1.2366[/C][C]1.38569[/C][C]0.8924[/C][C]0.373413[/C][C]0.186707[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=231431&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=231431&T=2

As an alternative you can also use a QR Code:

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

Multiple Linear Regression - Ordinary Least Squares
Variable	Parameter	S.D.	T-STATH0: parameter = 0	2-tail p-value	1-tail p-value
(Intercept)	2.12152	1.15764	1.833	0.0685769	0.0342884
`MDVP:Fo(Hz)`	-0.00205772	0.00149086	-1.38	0.169298	0.0846488
`MDVP:Fhi(Hz)`	-0.000160532	0.000319664	-0.5022	0.616171	0.308086
`MDVP:Flo(Hz)`	-0.00160039	0.000802129	-1.995	0.0475931	0.0237966
`MDVP:Jitter(%)`	-189.054	66.469	-2.844	0.0049887	0.00249435
`MDVP:Jitter(Abs)`	-3486.65	4632.2	-0.7527	0.452655	0.226327
`MDVP:RAP`	50.5909	9327.07	0.005424	0.995678	0.497839
`MDVP:PPQ`	-19.0523	87.5207	-0.2177	0.827928	0.413964
`Jitter:DDP`	82.6813	3109.45	0.02659	0.978817	0.489409
`MDVP:Shimmer`	32.3002	34.133	0.9463	0.345313	0.172656
`MDVP:Shimmer(dB)`	0.559556	1.20145	0.4657	0.641993	0.320996
`Shimmer:APQ3`	-527.429	8984.33	-0.05871	0.953254	0.476627
`Shimmer:APQ5`	-28.6202	20.0834	-1.425	0.155941	0.0779703
`MDVP:APQ`	-4.58067	10.8464	-0.4223	0.673316	0.336658
`Shimmer:DDA`	167.445	2993.97	0.05593	0.955464	0.477732
HNR	-0.0136496	0.0142791	-0.9559	0.340449	0.170224
RPDE	-0.996443	0.440106	-2.264	0.0248099	0.012405
DFA	0.714837	0.684698	1.044	0.297934	0.148967
spread1	0.150265	0.0964013	1.559	0.120885	0.0604425
spread2	1.16425	0.472206	2.466	0.0146559	0.00732794
D2	0.0376355	0.114153	0.3297	0.742031	0.371016
PPE	1.2366	1.38569	0.8924	0.373413	0.186707

Multiple Linear Regression - Regression Statistics
Multiple R	0.698533
R-squared	0.487948
Adjusted R-squared	0.425791
F-TEST (value)	7.8503
F-TEST (DF numerator)	21
F-TEST (DF denominator)	173
p-value	3.33067e-16
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	0.327262
Sum Squared Residuals	18.5284

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.698533 \tabularnewline
R-squared & 0.487948 \tabularnewline
Adjusted R-squared & 0.425791 \tabularnewline
F-TEST (value) & 7.8503 \tabularnewline
F-TEST (DF numerator) & 21 \tabularnewline
F-TEST (DF denominator) & 173 \tabularnewline
p-value & 3.33067e-16 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 0.327262 \tabularnewline
Sum Squared Residuals & 18.5284 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=231431&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.698533[/C][/ROW]
[ROW][C]R-squared[/C][C]0.487948[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.425791[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]7.8503[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]21[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]173[/C][/ROW]
[ROW][C]p-value[/C][C]3.33067e-16[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]0.327262[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]18.5284[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=231431&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=231431&T=3

As an alternative you can also use a QR Code:

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

Multiple Linear Regression - Regression Statistics
Multiple R	0.698533
R-squared	0.487948
Adjusted R-squared	0.425791
F-TEST (value)	7.8503
F-TEST (DF numerator)	21
F-TEST (DF denominator)	173
p-value	3.33067e-16
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	0.327262
Sum Squared Residuals	18.5284

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	InterpolationForecast	ResidualsPrediction Error
1	1	0.979763	0.0202371
2	1	1.06001	-0.0600093
3	1	0.931265	0.0687352
4	1	1.04407	-0.0440734
5	1	0.806361	0.193639
6	1	0.953022	0.0469781
7	1	0.829163	0.170837
8	1	0.612656	0.387344
9	1	0.957059	0.0429413
10	1	1.15656	-0.156564
11	1	1.10408	-0.10408
12	1	1.23293	-0.232934
13	1	0.44651	0.55349
14	1	0.876648	0.123352
15	1	0.706897	0.293103
16	1	0.713187	0.286813
17	1	0.538091	0.461909
18	1	1.33841	-0.338409
19	1	1.29737	-0.297367
20	1	0.953978	0.0460215
21	1	1.08176	-0.0817638
22	1	0.889156	0.110844
23	1	1.10663	-0.106625
24	1	0.874449	0.125551
25	1	0.807845	0.192155
26	1	0.919013	0.0809874
27	1	0.805109	0.194891
28	1	0.799408	0.200592
29	1	0.642608	0.357392
30	1	0.685125	0.314875
31	0	0.311942	-0.311942
32	0	0.176845	-0.176845
33	0	0.235515	-0.235515
34	0	0.168604	-0.168604
35	0	0.121597	-0.121597
36	0	0.226265	-0.226265
37	1	0.813874	0.186126
38	1	0.842926	0.157074
39	1	0.62319	0.37681
40	1	0.775492	0.224508
41	1	0.628275	0.371725
42	1	0.463815	0.536185
43	0	0.234416	-0.234416
44	0	0.20283	-0.20283
45	0	0.0252666	-0.0252666
46	0	0.0990818	-0.0990818
47	0	0.0482579	-0.0482579
48	0	-0.0305641	0.0305641
49	0	0.317604	-0.317604
50	0	0.424937	-0.424937
51	0	0.415118	-0.415118
52	0	0.410603	-0.410603
53	0	0.401264	-0.401264
54	0	0.529848	-0.529848
55	1	0.844119	0.155881
56	1	0.789832	0.210168
57	1	0.878356	0.121644
58	1	0.771614	0.228386
59	1	0.788842	0.211158
60	1	0.642666	0.357334
61	0	0.383186	-0.383186
62	0	0.284649	-0.284649
63	0	0.269771	-0.269771
64	0	0.206423	-0.206423
65	0	0.137344	-0.137344
66	0	0.301143	-0.301143
67	1	0.874772	0.125228
68	1	0.844276	0.155724
69	1	0.880721	0.119279
70	1	0.895074	0.104926
71	1	0.812265	0.187735
72	1	1.05026	-0.0502616
73	1	0.891379	0.108621
74	1	0.8986	0.1014
75	1	1.05919	-0.0591864
76	1	1.07546	-0.0754602
77	1	1.08121	-0.0812088
78	1	1.03051	-0.0305133
79	1	0.942234	0.0577658
80	1	1.06855	-0.0685532
81	1	1.16782	-0.16782
82	1	1.10711	-0.10711
83	1	1.011	-0.0110029
84	1	0.705636	0.294364
85	1	1.11298	-0.112979
86	1	0.895922	0.104078
87	1	0.735266	0.264734
88	1	0.982115	0.0178847
89	1	1.03062	-0.0306225
90	1	1.31606	-0.316064
91	1	1.25663	-0.256625
92	1	0.761737	0.238263
93	1	0.74038	0.25962
94	1	0.828958	0.171042
95	1	0.786549	0.213451
96	1	0.748867	0.251133
97	1	0.781612	0.218388
98	1	1.03543	-0.0354296
99	1	0.807022	0.192978
100	1	0.96739	0.0326101
101	1	1.05383	-0.0538324
102	1	1.00166	-0.00165807
103	1	1.0622	-0.0622043
104	1	0.618998	0.381002
105	1	0.597142	0.402858
106	1	0.579584	0.420416
107	1	0.547422	0.452578
108	1	0.698821	0.301179
109	1	0.637103	0.362897
110	1	0.829436	0.170564
111	1	1.01226	-0.0122588
112	1	0.541776	0.458224
113	1	0.761949	0.238051
114	1	0.669099	0.330901
115	1	0.774594	0.225406
116	1	0.943876	0.0561237
117	1	0.70975	0.29025
118	1	1.05716	-0.0571587
119	1	0.86682	0.13318
120	1	0.725991	0.274009
121	1	0.538102	0.461898
122	1	0.987092	0.0129078
123	1	0.943997	0.0560034
124	1	0.673971	0.326029
125	1	0.604785	0.395215
126	1	0.609318	0.390682
127	1	0.630233	0.369767
128	1	0.617426	0.382574
129	1	0.412768	0.587232
130	1	0.791211	0.208789
131	1	0.790214	0.209786
132	1	0.879364	0.120636
133	1	1.06496	-0.0649564
134	1	0.649426	0.350574
135	1	0.960951	0.0390494
136	1	0.96054	0.0394598
137	1	1.17426	-0.174255
138	1	1.17544	-0.175442
139	1	0.942313	0.0576875
140	1	0.788299	0.211701
141	1	0.909661	0.0903393
142	1	0.833151	0.166849
143	1	0.730128	0.269872
144	1	0.694532	0.305468
145	1	0.546024	0.453976
146	1	0.845215	0.154785
147	1	1.31535	-0.315349
148	1	1.07768	-0.0776754
149	1	1.20659	-0.206594
150	1	0.858109	0.141891
151	1	0.934736	0.0652644
152	1	0.983107	0.0168933
153	1	0.963023	0.0369774
154	1	0.866877	0.133123
155	1	0.932309	0.0676913
156	1	1.00628	-0.00628452
157	1	0.749275	0.250725
158	1	1.21289	-0.212893
159	1	0.886759	0.113241
160	1	0.868541	0.131459
161	1	1.14056	-0.140557
162	1	1.04106	-0.0410619
163	1	0.918516	0.0814844
164	1	0.768534	0.231466
165	1	1.36484	-0.364843
166	0	0.44317	-0.44317
167	0	0.206045	-0.206045
168	0	0.0609586	-0.0609586
169	0	0.88485	-0.88485
170	0	0.176505	-0.176505
171	0	0.0689514	-0.0689514
172	0	0.804733	-0.804733
173	0	0.859847	-0.859847
174	0	0.90374	-0.90374
175	0	0.88374	-0.88374
176	0	0.858033	-0.858033
177	0	0.808416	-0.808416
178	1	0.65681	0.34319
179	1	0.735129	0.264871
180	1	0.949898	0.0501017
181	1	0.762107	0.237893
182	1	0.891144	0.108856
183	1	0.742862	0.257138
184	0	0.606097	-0.606097
185	0	0.635265	-0.635265
186	0	0.616986	-0.616986
187	0	0.378459	-0.378459
188	0	0.465226	-0.465226
189	0	0.422688	-0.422688
190	0	0.442635	-0.442635
191	0	0.640623	-0.640623
192	0	0.672477	-0.672477
193	0	-0.138198	0.138198
194	0	0.338933	-0.338933
195	0	0.586277	-0.586277

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 1 & 0.979763 & 0.0202371 \tabularnewline
2 & 1 & 1.06001 & -0.0600093 \tabularnewline
3 & 1 & 0.931265 & 0.0687352 \tabularnewline
4 & 1 & 1.04407 & -0.0440734 \tabularnewline
5 & 1 & 0.806361 & 0.193639 \tabularnewline
6 & 1 & 0.953022 & 0.0469781 \tabularnewline
7 & 1 & 0.829163 & 0.170837 \tabularnewline
8 & 1 & 0.612656 & 0.387344 \tabularnewline
9 & 1 & 0.957059 & 0.0429413 \tabularnewline
10 & 1 & 1.15656 & -0.156564 \tabularnewline
11 & 1 & 1.10408 & -0.10408 \tabularnewline
12 & 1 & 1.23293 & -0.232934 \tabularnewline
13 & 1 & 0.44651 & 0.55349 \tabularnewline
14 & 1 & 0.876648 & 0.123352 \tabularnewline
15 & 1 & 0.706897 & 0.293103 \tabularnewline
16 & 1 & 0.713187 & 0.286813 \tabularnewline
17 & 1 & 0.538091 & 0.461909 \tabularnewline
18 & 1 & 1.33841 & -0.338409 \tabularnewline
19 & 1 & 1.29737 & -0.297367 \tabularnewline
20 & 1 & 0.953978 & 0.0460215 \tabularnewline
21 & 1 & 1.08176 & -0.0817638 \tabularnewline
22 & 1 & 0.889156 & 0.110844 \tabularnewline
23 & 1 & 1.10663 & -0.106625 \tabularnewline
24 & 1 & 0.874449 & 0.125551 \tabularnewline
25 & 1 & 0.807845 & 0.192155 \tabularnewline
26 & 1 & 0.919013 & 0.0809874 \tabularnewline
27 & 1 & 0.805109 & 0.194891 \tabularnewline
28 & 1 & 0.799408 & 0.200592 \tabularnewline
29 & 1 & 0.642608 & 0.357392 \tabularnewline
30 & 1 & 0.685125 & 0.314875 \tabularnewline
31 & 0 & 0.311942 & -0.311942 \tabularnewline
32 & 0 & 0.176845 & -0.176845 \tabularnewline
33 & 0 & 0.235515 & -0.235515 \tabularnewline
34 & 0 & 0.168604 & -0.168604 \tabularnewline
35 & 0 & 0.121597 & -0.121597 \tabularnewline
36 & 0 & 0.226265 & -0.226265 \tabularnewline
37 & 1 & 0.813874 & 0.186126 \tabularnewline
38 & 1 & 0.842926 & 0.157074 \tabularnewline
39 & 1 & 0.62319 & 0.37681 \tabularnewline
40 & 1 & 0.775492 & 0.224508 \tabularnewline
41 & 1 & 0.628275 & 0.371725 \tabularnewline
42 & 1 & 0.463815 & 0.536185 \tabularnewline
43 & 0 & 0.234416 & -0.234416 \tabularnewline
44 & 0 & 0.20283 & -0.20283 \tabularnewline
45 & 0 & 0.0252666 & -0.0252666 \tabularnewline
46 & 0 & 0.0990818 & -0.0990818 \tabularnewline
47 & 0 & 0.0482579 & -0.0482579 \tabularnewline
48 & 0 & -0.0305641 & 0.0305641 \tabularnewline
49 & 0 & 0.317604 & -0.317604 \tabularnewline
50 & 0 & 0.424937 & -0.424937 \tabularnewline
51 & 0 & 0.415118 & -0.415118 \tabularnewline
52 & 0 & 0.410603 & -0.410603 \tabularnewline
53 & 0 & 0.401264 & -0.401264 \tabularnewline
54 & 0 & 0.529848 & -0.529848 \tabularnewline
55 & 1 & 0.844119 & 0.155881 \tabularnewline
56 & 1 & 0.789832 & 0.210168 \tabularnewline
57 & 1 & 0.878356 & 0.121644 \tabularnewline
58 & 1 & 0.771614 & 0.228386 \tabularnewline
59 & 1 & 0.788842 & 0.211158 \tabularnewline
60 & 1 & 0.642666 & 0.357334 \tabularnewline
61 & 0 & 0.383186 & -0.383186 \tabularnewline
62 & 0 & 0.284649 & -0.284649 \tabularnewline
63 & 0 & 0.269771 & -0.269771 \tabularnewline
64 & 0 & 0.206423 & -0.206423 \tabularnewline
65 & 0 & 0.137344 & -0.137344 \tabularnewline
66 & 0 & 0.301143 & -0.301143 \tabularnewline
67 & 1 & 0.874772 & 0.125228 \tabularnewline
68 & 1 & 0.844276 & 0.155724 \tabularnewline
69 & 1 & 0.880721 & 0.119279 \tabularnewline
70 & 1 & 0.895074 & 0.104926 \tabularnewline
71 & 1 & 0.812265 & 0.187735 \tabularnewline
72 & 1 & 1.05026 & -0.0502616 \tabularnewline
73 & 1 & 0.891379 & 0.108621 \tabularnewline
74 & 1 & 0.8986 & 0.1014 \tabularnewline
75 & 1 & 1.05919 & -0.0591864 \tabularnewline
76 & 1 & 1.07546 & -0.0754602 \tabularnewline
77 & 1 & 1.08121 & -0.0812088 \tabularnewline
78 & 1 & 1.03051 & -0.0305133 \tabularnewline
79 & 1 & 0.942234 & 0.0577658 \tabularnewline
80 & 1 & 1.06855 & -0.0685532 \tabularnewline
81 & 1 & 1.16782 & -0.16782 \tabularnewline
82 & 1 & 1.10711 & -0.10711 \tabularnewline
83 & 1 & 1.011 & -0.0110029 \tabularnewline
84 & 1 & 0.705636 & 0.294364 \tabularnewline
85 & 1 & 1.11298 & -0.112979 \tabularnewline
86 & 1 & 0.895922 & 0.104078 \tabularnewline
87 & 1 & 0.735266 & 0.264734 \tabularnewline
88 & 1 & 0.982115 & 0.0178847 \tabularnewline
89 & 1 & 1.03062 & -0.0306225 \tabularnewline
90 & 1 & 1.31606 & -0.316064 \tabularnewline
91 & 1 & 1.25663 & -0.256625 \tabularnewline
92 & 1 & 0.761737 & 0.238263 \tabularnewline
93 & 1 & 0.74038 & 0.25962 \tabularnewline
94 & 1 & 0.828958 & 0.171042 \tabularnewline
95 & 1 & 0.786549 & 0.213451 \tabularnewline
96 & 1 & 0.748867 & 0.251133 \tabularnewline
97 & 1 & 0.781612 & 0.218388 \tabularnewline
98 & 1 & 1.03543 & -0.0354296 \tabularnewline
99 & 1 & 0.807022 & 0.192978 \tabularnewline
100 & 1 & 0.96739 & 0.0326101 \tabularnewline
101 & 1 & 1.05383 & -0.0538324 \tabularnewline
102 & 1 & 1.00166 & -0.00165807 \tabularnewline
103 & 1 & 1.0622 & -0.0622043 \tabularnewline
104 & 1 & 0.618998 & 0.381002 \tabularnewline
105 & 1 & 0.597142 & 0.402858 \tabularnewline
106 & 1 & 0.579584 & 0.420416 \tabularnewline
107 & 1 & 0.547422 & 0.452578 \tabularnewline
108 & 1 & 0.698821 & 0.301179 \tabularnewline
109 & 1 & 0.637103 & 0.362897 \tabularnewline
110 & 1 & 0.829436 & 0.170564 \tabularnewline
111 & 1 & 1.01226 & -0.0122588 \tabularnewline
112 & 1 & 0.541776 & 0.458224 \tabularnewline
113 & 1 & 0.761949 & 0.238051 \tabularnewline
114 & 1 & 0.669099 & 0.330901 \tabularnewline
115 & 1 & 0.774594 & 0.225406 \tabularnewline
116 & 1 & 0.943876 & 0.0561237 \tabularnewline
117 & 1 & 0.70975 & 0.29025 \tabularnewline
118 & 1 & 1.05716 & -0.0571587 \tabularnewline
119 & 1 & 0.86682 & 0.13318 \tabularnewline
120 & 1 & 0.725991 & 0.274009 \tabularnewline
121 & 1 & 0.538102 & 0.461898 \tabularnewline
122 & 1 & 0.987092 & 0.0129078 \tabularnewline
123 & 1 & 0.943997 & 0.0560034 \tabularnewline
124 & 1 & 0.673971 & 0.326029 \tabularnewline
125 & 1 & 0.604785 & 0.395215 \tabularnewline
126 & 1 & 0.609318 & 0.390682 \tabularnewline
127 & 1 & 0.630233 & 0.369767 \tabularnewline
128 & 1 & 0.617426 & 0.382574 \tabularnewline
129 & 1 & 0.412768 & 0.587232 \tabularnewline
130 & 1 & 0.791211 & 0.208789 \tabularnewline
131 & 1 & 0.790214 & 0.209786 \tabularnewline
132 & 1 & 0.879364 & 0.120636 \tabularnewline
133 & 1 & 1.06496 & -0.0649564 \tabularnewline
134 & 1 & 0.649426 & 0.350574 \tabularnewline
135 & 1 & 0.960951 & 0.0390494 \tabularnewline
136 & 1 & 0.96054 & 0.0394598 \tabularnewline
137 & 1 & 1.17426 & -0.174255 \tabularnewline
138 & 1 & 1.17544 & -0.175442 \tabularnewline
139 & 1 & 0.942313 & 0.0576875 \tabularnewline
140 & 1 & 0.788299 & 0.211701 \tabularnewline
141 & 1 & 0.909661 & 0.0903393 \tabularnewline
142 & 1 & 0.833151 & 0.166849 \tabularnewline
143 & 1 & 0.730128 & 0.269872 \tabularnewline
144 & 1 & 0.694532 & 0.305468 \tabularnewline
145 & 1 & 0.546024 & 0.453976 \tabularnewline
146 & 1 & 0.845215 & 0.154785 \tabularnewline
147 & 1 & 1.31535 & -0.315349 \tabularnewline
148 & 1 & 1.07768 & -0.0776754 \tabularnewline
149 & 1 & 1.20659 & -0.206594 \tabularnewline
150 & 1 & 0.858109 & 0.141891 \tabularnewline
151 & 1 & 0.934736 & 0.0652644 \tabularnewline
152 & 1 & 0.983107 & 0.0168933 \tabularnewline
153 & 1 & 0.963023 & 0.0369774 \tabularnewline
154 & 1 & 0.866877 & 0.133123 \tabularnewline
155 & 1 & 0.932309 & 0.0676913 \tabularnewline
156 & 1 & 1.00628 & -0.00628452 \tabularnewline
157 & 1 & 0.749275 & 0.250725 \tabularnewline
158 & 1 & 1.21289 & -0.212893 \tabularnewline
159 & 1 & 0.886759 & 0.113241 \tabularnewline
160 & 1 & 0.868541 & 0.131459 \tabularnewline
161 & 1 & 1.14056 & -0.140557 \tabularnewline
162 & 1 & 1.04106 & -0.0410619 \tabularnewline
163 & 1 & 0.918516 & 0.0814844 \tabularnewline
164 & 1 & 0.768534 & 0.231466 \tabularnewline
165 & 1 & 1.36484 & -0.364843 \tabularnewline
166 & 0 & 0.44317 & -0.44317 \tabularnewline
167 & 0 & 0.206045 & -0.206045 \tabularnewline
168 & 0 & 0.0609586 & -0.0609586 \tabularnewline
169 & 0 & 0.88485 & -0.88485 \tabularnewline
170 & 0 & 0.176505 & -0.176505 \tabularnewline
171 & 0 & 0.0689514 & -0.0689514 \tabularnewline
172 & 0 & 0.804733 & -0.804733 \tabularnewline
173 & 0 & 0.859847 & -0.859847 \tabularnewline
174 & 0 & 0.90374 & -0.90374 \tabularnewline
175 & 0 & 0.88374 & -0.88374 \tabularnewline
176 & 0 & 0.858033 & -0.858033 \tabularnewline
177 & 0 & 0.808416 & -0.808416 \tabularnewline
178 & 1 & 0.65681 & 0.34319 \tabularnewline
179 & 1 & 0.735129 & 0.264871 \tabularnewline
180 & 1 & 0.949898 & 0.0501017 \tabularnewline
181 & 1 & 0.762107 & 0.237893 \tabularnewline
182 & 1 & 0.891144 & 0.108856 \tabularnewline
183 & 1 & 0.742862 & 0.257138 \tabularnewline
184 & 0 & 0.606097 & -0.606097 \tabularnewline
185 & 0 & 0.635265 & -0.635265 \tabularnewline
186 & 0 & 0.616986 & -0.616986 \tabularnewline
187 & 0 & 0.378459 & -0.378459 \tabularnewline
188 & 0 & 0.465226 & -0.465226 \tabularnewline
189 & 0 & 0.422688 & -0.422688 \tabularnewline
190 & 0 & 0.442635 & -0.442635 \tabularnewline
191 & 0 & 0.640623 & -0.640623 \tabularnewline
192 & 0 & 0.672477 & -0.672477 \tabularnewline
193 & 0 & -0.138198 & 0.138198 \tabularnewline
194 & 0 & 0.338933 & -0.338933 \tabularnewline
195 & 0 & 0.586277 & -0.586277 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=231431&T=4

[TABLE]
[ROW][C]Multiple Linear Regression - Actuals, Interpolation, and Residuals[/C][/ROW]
[ROW][C]Time or Index[/C][C]Actuals[/C][C]InterpolationForecast[/C][C]ResidualsPrediction Error[/C][/ROW]
[ROW][C]1[/C][C]1[/C][C]0.979763[/C][C]0.0202371[/C][/ROW]
[ROW][C]2[/C][C]1[/C][C]1.06001[/C][C]-0.0600093[/C][/ROW]
[ROW][C]3[/C][C]1[/C][C]0.931265[/C][C]0.0687352[/C][/ROW]
[ROW][C]4[/C][C]1[/C][C]1.04407[/C][C]-0.0440734[/C][/ROW]
[ROW][C]5[/C][C]1[/C][C]0.806361[/C][C]0.193639[/C][/ROW]
[ROW][C]6[/C][C]1[/C][C]0.953022[/C][C]0.0469781[/C][/ROW]
[ROW][C]7[/C][C]1[/C][C]0.829163[/C][C]0.170837[/C][/ROW]
[ROW][C]8[/C][C]1[/C][C]0.612656[/C][C]0.387344[/C][/ROW]
[ROW][C]9[/C][C]1[/C][C]0.957059[/C][C]0.0429413[/C][/ROW]
[ROW][C]10[/C][C]1[/C][C]1.15656[/C][C]-0.156564[/C][/ROW]
[ROW][C]11[/C][C]1[/C][C]1.10408[/C][C]-0.10408[/C][/ROW]
[ROW][C]12[/C][C]1[/C][C]1.23293[/C][C]-0.232934[/C][/ROW]
[ROW][C]13[/C][C]1[/C][C]0.44651[/C][C]0.55349[/C][/ROW]
[ROW][C]14[/C][C]1[/C][C]0.876648[/C][C]0.123352[/C][/ROW]
[ROW][C]15[/C][C]1[/C][C]0.706897[/C][C]0.293103[/C][/ROW]
[ROW][C]16[/C][C]1[/C][C]0.713187[/C][C]0.286813[/C][/ROW]
[ROW][C]17[/C][C]1[/C][C]0.538091[/C][C]0.461909[/C][/ROW]
[ROW][C]18[/C][C]1[/C][C]1.33841[/C][C]-0.338409[/C][/ROW]
[ROW][C]19[/C][C]1[/C][C]1.29737[/C][C]-0.297367[/C][/ROW]
[ROW][C]20[/C][C]1[/C][C]0.953978[/C][C]0.0460215[/C][/ROW]
[ROW][C]21[/C][C]1[/C][C]1.08176[/C][C]-0.0817638[/C][/ROW]
[ROW][C]22[/C][C]1[/C][C]0.889156[/C][C]0.110844[/C][/ROW]
[ROW][C]23[/C][C]1[/C][C]1.10663[/C][C]-0.106625[/C][/ROW]
[ROW][C]24[/C][C]1[/C][C]0.874449[/C][C]0.125551[/C][/ROW]
[ROW][C]25[/C][C]1[/C][C]0.807845[/C][C]0.192155[/C][/ROW]
[ROW][C]26[/C][C]1[/C][C]0.919013[/C][C]0.0809874[/C][/ROW]
[ROW][C]27[/C][C]1[/C][C]0.805109[/C][C]0.194891[/C][/ROW]
[ROW][C]28[/C][C]1[/C][C]0.799408[/C][C]0.200592[/C][/ROW]
[ROW][C]29[/C][C]1[/C][C]0.642608[/C][C]0.357392[/C][/ROW]
[ROW][C]30[/C][C]1[/C][C]0.685125[/C][C]0.314875[/C][/ROW]
[ROW][C]31[/C][C]0[/C][C]0.311942[/C][C]-0.311942[/C][/ROW]
[ROW][C]32[/C][C]0[/C][C]0.176845[/C][C]-0.176845[/C][/ROW]
[ROW][C]33[/C][C]0[/C][C]0.235515[/C][C]-0.235515[/C][/ROW]
[ROW][C]34[/C][C]0[/C][C]0.168604[/C][C]-0.168604[/C][/ROW]
[ROW][C]35[/C][C]0[/C][C]0.121597[/C][C]-0.121597[/C][/ROW]
[ROW][C]36[/C][C]0[/C][C]0.226265[/C][C]-0.226265[/C][/ROW]
[ROW][C]37[/C][C]1[/C][C]0.813874[/C][C]0.186126[/C][/ROW]
[ROW][C]38[/C][C]1[/C][C]0.842926[/C][C]0.157074[/C][/ROW]
[ROW][C]39[/C][C]1[/C][C]0.62319[/C][C]0.37681[/C][/ROW]
[ROW][C]40[/C][C]1[/C][C]0.775492[/C][C]0.224508[/C][/ROW]
[ROW][C]41[/C][C]1[/C][C]0.628275[/C][C]0.371725[/C][/ROW]
[ROW][C]42[/C][C]1[/C][C]0.463815[/C][C]0.536185[/C][/ROW]
[ROW][C]43[/C][C]0[/C][C]0.234416[/C][C]-0.234416[/C][/ROW]
[ROW][C]44[/C][C]0[/C][C]0.20283[/C][C]-0.20283[/C][/ROW]
[ROW][C]45[/C][C]0[/C][C]0.0252666[/C][C]-0.0252666[/C][/ROW]
[ROW][C]46[/C][C]0[/C][C]0.0990818[/C][C]-0.0990818[/C][/ROW]
[ROW][C]47[/C][C]0[/C][C]0.0482579[/C][C]-0.0482579[/C][/ROW]
[ROW][C]48[/C][C]0[/C][C]-0.0305641[/C][C]0.0305641[/C][/ROW]
[ROW][C]49[/C][C]0[/C][C]0.317604[/C][C]-0.317604[/C][/ROW]
[ROW][C]50[/C][C]0[/C][C]0.424937[/C][C]-0.424937[/C][/ROW]
[ROW][C]51[/C][C]0[/C][C]0.415118[/C][C]-0.415118[/C][/ROW]
[ROW][C]52[/C][C]0[/C][C]0.410603[/C][C]-0.410603[/C][/ROW]
[ROW][C]53[/C][C]0[/C][C]0.401264[/C][C]-0.401264[/C][/ROW]
[ROW][C]54[/C][C]0[/C][C]0.529848[/C][C]-0.529848[/C][/ROW]
[ROW][C]55[/C][C]1[/C][C]0.844119[/C][C]0.155881[/C][/ROW]
[ROW][C]56[/C][C]1[/C][C]0.789832[/C][C]0.210168[/C][/ROW]
[ROW][C]57[/C][C]1[/C][C]0.878356[/C][C]0.121644[/C][/ROW]
[ROW][C]58[/C][C]1[/C][C]0.771614[/C][C]0.228386[/C][/ROW]
[ROW][C]59[/C][C]1[/C][C]0.788842[/C][C]0.211158[/C][/ROW]
[ROW][C]60[/C][C]1[/C][C]0.642666[/C][C]0.357334[/C][/ROW]
[ROW][C]61[/C][C]0[/C][C]0.383186[/C][C]-0.383186[/C][/ROW]
[ROW][C]62[/C][C]0[/C][C]0.284649[/C][C]-0.284649[/C][/ROW]
[ROW][C]63[/C][C]0[/C][C]0.269771[/C][C]-0.269771[/C][/ROW]
[ROW][C]64[/C][C]0[/C][C]0.206423[/C][C]-0.206423[/C][/ROW]
[ROW][C]65[/C][C]0[/C][C]0.137344[/C][C]-0.137344[/C][/ROW]
[ROW][C]66[/C][C]0[/C][C]0.301143[/C][C]-0.301143[/C][/ROW]
[ROW][C]67[/C][C]1[/C][C]0.874772[/C][C]0.125228[/C][/ROW]
[ROW][C]68[/C][C]1[/C][C]0.844276[/C][C]0.155724[/C][/ROW]
[ROW][C]69[/C][C]1[/C][C]0.880721[/C][C]0.119279[/C][/ROW]
[ROW][C]70[/C][C]1[/C][C]0.895074[/C][C]0.104926[/C][/ROW]
[ROW][C]71[/C][C]1[/C][C]0.812265[/C][C]0.187735[/C][/ROW]
[ROW][C]72[/C][C]1[/C][C]1.05026[/C][C]-0.0502616[/C][/ROW]
[ROW][C]73[/C][C]1[/C][C]0.891379[/C][C]0.108621[/C][/ROW]
[ROW][C]74[/C][C]1[/C][C]0.8986[/C][C]0.1014[/C][/ROW]
[ROW][C]75[/C][C]1[/C][C]1.05919[/C][C]-0.0591864[/C][/ROW]
[ROW][C]76[/C][C]1[/C][C]1.07546[/C][C]-0.0754602[/C][/ROW]
[ROW][C]77[/C][C]1[/C][C]1.08121[/C][C]-0.0812088[/C][/ROW]
[ROW][C]78[/C][C]1[/C][C]1.03051[/C][C]-0.0305133[/C][/ROW]
[ROW][C]79[/C][C]1[/C][C]0.942234[/C][C]0.0577658[/C][/ROW]
[ROW][C]80[/C][C]1[/C][C]1.06855[/C][C]-0.0685532[/C][/ROW]
[ROW][C]81[/C][C]1[/C][C]1.16782[/C][C]-0.16782[/C][/ROW]
[ROW][C]82[/C][C]1[/C][C]1.10711[/C][C]-0.10711[/C][/ROW]
[ROW][C]83[/C][C]1[/C][C]1.011[/C][C]-0.0110029[/C][/ROW]
[ROW][C]84[/C][C]1[/C][C]0.705636[/C][C]0.294364[/C][/ROW]
[ROW][C]85[/C][C]1[/C][C]1.11298[/C][C]-0.112979[/C][/ROW]
[ROW][C]86[/C][C]1[/C][C]0.895922[/C][C]0.104078[/C][/ROW]
[ROW][C]87[/C][C]1[/C][C]0.735266[/C][C]0.264734[/C][/ROW]
[ROW][C]88[/C][C]1[/C][C]0.982115[/C][C]0.0178847[/C][/ROW]
[ROW][C]89[/C][C]1[/C][C]1.03062[/C][C]-0.0306225[/C][/ROW]
[ROW][C]90[/C][C]1[/C][C]1.31606[/C][C]-0.316064[/C][/ROW]
[ROW][C]91[/C][C]1[/C][C]1.25663[/C][C]-0.256625[/C][/ROW]
[ROW][C]92[/C][C]1[/C][C]0.761737[/C][C]0.238263[/C][/ROW]
[ROW][C]93[/C][C]1[/C][C]0.74038[/C][C]0.25962[/C][/ROW]
[ROW][C]94[/C][C]1[/C][C]0.828958[/C][C]0.171042[/C][/ROW]
[ROW][C]95[/C][C]1[/C][C]0.786549[/C][C]0.213451[/C][/ROW]
[ROW][C]96[/C][C]1[/C][C]0.748867[/C][C]0.251133[/C][/ROW]
[ROW][C]97[/C][C]1[/C][C]0.781612[/C][C]0.218388[/C][/ROW]
[ROW][C]98[/C][C]1[/C][C]1.03543[/C][C]-0.0354296[/C][/ROW]
[ROW][C]99[/C][C]1[/C][C]0.807022[/C][C]0.192978[/C][/ROW]
[ROW][C]100[/C][C]1[/C][C]0.96739[/C][C]0.0326101[/C][/ROW]
[ROW][C]101[/C][C]1[/C][C]1.05383[/C][C]-0.0538324[/C][/ROW]
[ROW][C]102[/C][C]1[/C][C]1.00166[/C][C]-0.00165807[/C][/ROW]
[ROW][C]103[/C][C]1[/C][C]1.0622[/C][C]-0.0622043[/C][/ROW]
[ROW][C]104[/C][C]1[/C][C]0.618998[/C][C]0.381002[/C][/ROW]
[ROW][C]105[/C][C]1[/C][C]0.597142[/C][C]0.402858[/C][/ROW]
[ROW][C]106[/C][C]1[/C][C]0.579584[/C][C]0.420416[/C][/ROW]
[ROW][C]107[/C][C]1[/C][C]0.547422[/C][C]0.452578[/C][/ROW]
[ROW][C]108[/C][C]1[/C][C]0.698821[/C][C]0.301179[/C][/ROW]
[ROW][C]109[/C][C]1[/C][C]0.637103[/C][C]0.362897[/C][/ROW]
[ROW][C]110[/C][C]1[/C][C]0.829436[/C][C]0.170564[/C][/ROW]
[ROW][C]111[/C][C]1[/C][C]1.01226[/C][C]-0.0122588[/C][/ROW]
[ROW][C]112[/C][C]1[/C][C]0.541776[/C][C]0.458224[/C][/ROW]
[ROW][C]113[/C][C]1[/C][C]0.761949[/C][C]0.238051[/C][/ROW]
[ROW][C]114[/C][C]1[/C][C]0.669099[/C][C]0.330901[/C][/ROW]
[ROW][C]115[/C][C]1[/C][C]0.774594[/C][C]0.225406[/C][/ROW]
[ROW][C]116[/C][C]1[/C][C]0.943876[/C][C]0.0561237[/C][/ROW]
[ROW][C]117[/C][C]1[/C][C]0.70975[/C][C]0.29025[/C][/ROW]
[ROW][C]118[/C][C]1[/C][C]1.05716[/C][C]-0.0571587[/C][/ROW]
[ROW][C]119[/C][C]1[/C][C]0.86682[/C][C]0.13318[/C][/ROW]
[ROW][C]120[/C][C]1[/C][C]0.725991[/C][C]0.274009[/C][/ROW]
[ROW][C]121[/C][C]1[/C][C]0.538102[/C][C]0.461898[/C][/ROW]
[ROW][C]122[/C][C]1[/C][C]0.987092[/C][C]0.0129078[/C][/ROW]
[ROW][C]123[/C][C]1[/C][C]0.943997[/C][C]0.0560034[/C][/ROW]
[ROW][C]124[/C][C]1[/C][C]0.673971[/C][C]0.326029[/C][/ROW]
[ROW][C]125[/C][C]1[/C][C]0.604785[/C][C]0.395215[/C][/ROW]
[ROW][C]126[/C][C]1[/C][C]0.609318[/C][C]0.390682[/C][/ROW]
[ROW][C]127[/C][C]1[/C][C]0.630233[/C][C]0.369767[/C][/ROW]
[ROW][C]128[/C][C]1[/C][C]0.617426[/C][C]0.382574[/C][/ROW]
[ROW][C]129[/C][C]1[/C][C]0.412768[/C][C]0.587232[/C][/ROW]
[ROW][C]130[/C][C]1[/C][C]0.791211[/C][C]0.208789[/C][/ROW]
[ROW][C]131[/C][C]1[/C][C]0.790214[/C][C]0.209786[/C][/ROW]
[ROW][C]132[/C][C]1[/C][C]0.879364[/C][C]0.120636[/C][/ROW]
[ROW][C]133[/C][C]1[/C][C]1.06496[/C][C]-0.0649564[/C][/ROW]
[ROW][C]134[/C][C]1[/C][C]0.649426[/C][C]0.350574[/C][/ROW]
[ROW][C]135[/C][C]1[/C][C]0.960951[/C][C]0.0390494[/C][/ROW]
[ROW][C]136[/C][C]1[/C][C]0.96054[/C][C]0.0394598[/C][/ROW]
[ROW][C]137[/C][C]1[/C][C]1.17426[/C][C]-0.174255[/C][/ROW]
[ROW][C]138[/C][C]1[/C][C]1.17544[/C][C]-0.175442[/C][/ROW]
[ROW][C]139[/C][C]1[/C][C]0.942313[/C][C]0.0576875[/C][/ROW]
[ROW][C]140[/C][C]1[/C][C]0.788299[/C][C]0.211701[/C][/ROW]
[ROW][C]141[/C][C]1[/C][C]0.909661[/C][C]0.0903393[/C][/ROW]
[ROW][C]142[/C][C]1[/C][C]0.833151[/C][C]0.166849[/C][/ROW]
[ROW][C]143[/C][C]1[/C][C]0.730128[/C][C]0.269872[/C][/ROW]
[ROW][C]144[/C][C]1[/C][C]0.694532[/C][C]0.305468[/C][/ROW]
[ROW][C]145[/C][C]1[/C][C]0.546024[/C][C]0.453976[/C][/ROW]
[ROW][C]146[/C][C]1[/C][C]0.845215[/C][C]0.154785[/C][/ROW]
[ROW][C]147[/C][C]1[/C][C]1.31535[/C][C]-0.315349[/C][/ROW]
[ROW][C]148[/C][C]1[/C][C]1.07768[/C][C]-0.0776754[/C][/ROW]
[ROW][C]149[/C][C]1[/C][C]1.20659[/C][C]-0.206594[/C][/ROW]
[ROW][C]150[/C][C]1[/C][C]0.858109[/C][C]0.141891[/C][/ROW]
[ROW][C]151[/C][C]1[/C][C]0.934736[/C][C]0.0652644[/C][/ROW]
[ROW][C]152[/C][C]1[/C][C]0.983107[/C][C]0.0168933[/C][/ROW]
[ROW][C]153[/C][C]1[/C][C]0.963023[/C][C]0.0369774[/C][/ROW]
[ROW][C]154[/C][C]1[/C][C]0.866877[/C][C]0.133123[/C][/ROW]
[ROW][C]155[/C][C]1[/C][C]0.932309[/C][C]0.0676913[/C][/ROW]
[ROW][C]156[/C][C]1[/C][C]1.00628[/C][C]-0.00628452[/C][/ROW]
[ROW][C]157[/C][C]1[/C][C]0.749275[/C][C]0.250725[/C][/ROW]
[ROW][C]158[/C][C]1[/C][C]1.21289[/C][C]-0.212893[/C][/ROW]
[ROW][C]159[/C][C]1[/C][C]0.886759[/C][C]0.113241[/C][/ROW]
[ROW][C]160[/C][C]1[/C][C]0.868541[/C][C]0.131459[/C][/ROW]
[ROW][C]161[/C][C]1[/C][C]1.14056[/C][C]-0.140557[/C][/ROW]
[ROW][C]162[/C][C]1[/C][C]1.04106[/C][C]-0.0410619[/C][/ROW]
[ROW][C]163[/C][C]1[/C][C]0.918516[/C][C]0.0814844[/C][/ROW]
[ROW][C]164[/C][C]1[/C][C]0.768534[/C][C]0.231466[/C][/ROW]
[ROW][C]165[/C][C]1[/C][C]1.36484[/C][C]-0.364843[/C][/ROW]
[ROW][C]166[/C][C]0[/C][C]0.44317[/C][C]-0.44317[/C][/ROW]
[ROW][C]167[/C][C]0[/C][C]0.206045[/C][C]-0.206045[/C][/ROW]
[ROW][C]168[/C][C]0[/C][C]0.0609586[/C][C]-0.0609586[/C][/ROW]
[ROW][C]169[/C][C]0[/C][C]0.88485[/C][C]-0.88485[/C][/ROW]
[ROW][C]170[/C][C]0[/C][C]0.176505[/C][C]-0.176505[/C][/ROW]
[ROW][C]171[/C][C]0[/C][C]0.0689514[/C][C]-0.0689514[/C][/ROW]
[ROW][C]172[/C][C]0[/C][C]0.804733[/C][C]-0.804733[/C][/ROW]
[ROW][C]173[/C][C]0[/C][C]0.859847[/C][C]-0.859847[/C][/ROW]
[ROW][C]174[/C][C]0[/C][C]0.90374[/C][C]-0.90374[/C][/ROW]
[ROW][C]175[/C][C]0[/C][C]0.88374[/C][C]-0.88374[/C][/ROW]
[ROW][C]176[/C][C]0[/C][C]0.858033[/C][C]-0.858033[/C][/ROW]
[ROW][C]177[/C][C]0[/C][C]0.808416[/C][C]-0.808416[/C][/ROW]
[ROW][C]178[/C][C]1[/C][C]0.65681[/C][C]0.34319[/C][/ROW]
[ROW][C]179[/C][C]1[/C][C]0.735129[/C][C]0.264871[/C][/ROW]
[ROW][C]180[/C][C]1[/C][C]0.949898[/C][C]0.0501017[/C][/ROW]
[ROW][C]181[/C][C]1[/C][C]0.762107[/C][C]0.237893[/C][/ROW]
[ROW][C]182[/C][C]1[/C][C]0.891144[/C][C]0.108856[/C][/ROW]
[ROW][C]183[/C][C]1[/C][C]0.742862[/C][C]0.257138[/C][/ROW]
[ROW][C]184[/C][C]0[/C][C]0.606097[/C][C]-0.606097[/C][/ROW]
[ROW][C]185[/C][C]0[/C][C]0.635265[/C][C]-0.635265[/C][/ROW]
[ROW][C]186[/C][C]0[/C][C]0.616986[/C][C]-0.616986[/C][/ROW]
[ROW][C]187[/C][C]0[/C][C]0.378459[/C][C]-0.378459[/C][/ROW]
[ROW][C]188[/C][C]0[/C][C]0.465226[/C][C]-0.465226[/C][/ROW]
[ROW][C]189[/C][C]0[/C][C]0.422688[/C][C]-0.422688[/C][/ROW]
[ROW][C]190[/C][C]0[/C][C]0.442635[/C][C]-0.442635[/C][/ROW]
[ROW][C]191[/C][C]0[/C][C]0.640623[/C][C]-0.640623[/C][/ROW]
[ROW][C]192[/C][C]0[/C][C]0.672477[/C][C]-0.672477[/C][/ROW]
[ROW][C]193[/C][C]0[/C][C]-0.138198[/C][C]0.138198[/C][/ROW]
[ROW][C]194[/C][C]0[/C][C]0.338933[/C][C]-0.338933[/C][/ROW]
[ROW][C]195[/C][C]0[/C][C]0.586277[/C][C]-0.586277[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=231431&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=231431&T=4

As an alternative you can also use a QR Code:

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

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	InterpolationForecast	ResidualsPrediction Error
1	1	0.979763	0.0202371
2	1	1.06001	-0.0600093
3	1	0.931265	0.0687352
4	1	1.04407	-0.0440734
5	1	0.806361	0.193639
6	1	0.953022	0.0469781
7	1	0.829163	0.170837
8	1	0.612656	0.387344
9	1	0.957059	0.0429413
10	1	1.15656	-0.156564
11	1	1.10408	-0.10408
12	1	1.23293	-0.232934
13	1	0.44651	0.55349
14	1	0.876648	0.123352
15	1	0.706897	0.293103
16	1	0.713187	0.286813
17	1	0.538091	0.461909
18	1	1.33841	-0.338409
19	1	1.29737	-0.297367
20	1	0.953978	0.0460215
21	1	1.08176	-0.0817638
22	1	0.889156	0.110844
23	1	1.10663	-0.106625
24	1	0.874449	0.125551
25	1	0.807845	0.192155
26	1	0.919013	0.0809874
27	1	0.805109	0.194891
28	1	0.799408	0.200592
29	1	0.642608	0.357392
30	1	0.685125	0.314875
31	0	0.311942	-0.311942
32	0	0.176845	-0.176845
33	0	0.235515	-0.235515
34	0	0.168604	-0.168604
35	0	0.121597	-0.121597
36	0	0.226265	-0.226265
37	1	0.813874	0.186126
38	1	0.842926	0.157074
39	1	0.62319	0.37681
40	1	0.775492	0.224508
41	1	0.628275	0.371725
42	1	0.463815	0.536185
43	0	0.234416	-0.234416
44	0	0.20283	-0.20283
45	0	0.0252666	-0.0252666
46	0	0.0990818	-0.0990818
47	0	0.0482579	-0.0482579
48	0	-0.0305641	0.0305641
49	0	0.317604	-0.317604
50	0	0.424937	-0.424937
51	0	0.415118	-0.415118
52	0	0.410603	-0.410603
53	0	0.401264	-0.401264
54	0	0.529848	-0.529848
55	1	0.844119	0.155881
56	1	0.789832	0.210168
57	1	0.878356	0.121644
58	1	0.771614	0.228386
59	1	0.788842	0.211158
60	1	0.642666	0.357334
61	0	0.383186	-0.383186
62	0	0.284649	-0.284649
63	0	0.269771	-0.269771
64	0	0.206423	-0.206423
65	0	0.137344	-0.137344
66	0	0.301143	-0.301143
67	1	0.874772	0.125228
68	1	0.844276	0.155724
69	1	0.880721	0.119279
70	1	0.895074	0.104926
71	1	0.812265	0.187735
72	1	1.05026	-0.0502616
73	1	0.891379	0.108621
74	1	0.8986	0.1014
75	1	1.05919	-0.0591864
76	1	1.07546	-0.0754602
77	1	1.08121	-0.0812088
78	1	1.03051	-0.0305133
79	1	0.942234	0.0577658
80	1	1.06855	-0.0685532
81	1	1.16782	-0.16782
82	1	1.10711	-0.10711
83	1	1.011	-0.0110029
84	1	0.705636	0.294364
85	1	1.11298	-0.112979
86	1	0.895922	0.104078
87	1	0.735266	0.264734
88	1	0.982115	0.0178847
89	1	1.03062	-0.0306225
90	1	1.31606	-0.316064
91	1	1.25663	-0.256625
92	1	0.761737	0.238263
93	1	0.74038	0.25962
94	1	0.828958	0.171042
95	1	0.786549	0.213451
96	1	0.748867	0.251133
97	1	0.781612	0.218388
98	1	1.03543	-0.0354296
99	1	0.807022	0.192978
100	1	0.96739	0.0326101
101	1	1.05383	-0.0538324
102	1	1.00166	-0.00165807
103	1	1.0622	-0.0622043
104	1	0.618998	0.381002
105	1	0.597142	0.402858
106	1	0.579584	0.420416
107	1	0.547422	0.452578
108	1	0.698821	0.301179
109	1	0.637103	0.362897
110	1	0.829436	0.170564
111	1	1.01226	-0.0122588
112	1	0.541776	0.458224
113	1	0.761949	0.238051
114	1	0.669099	0.330901
115	1	0.774594	0.225406
116	1	0.943876	0.0561237
117	1	0.70975	0.29025
118	1	1.05716	-0.0571587
119	1	0.86682	0.13318
120	1	0.725991	0.274009
121	1	0.538102	0.461898
122	1	0.987092	0.0129078
123	1	0.943997	0.0560034
124	1	0.673971	0.326029
125	1	0.604785	0.395215
126	1	0.609318	0.390682
127	1	0.630233	0.369767
128	1	0.617426	0.382574
129	1	0.412768	0.587232
130	1	0.791211	0.208789
131	1	0.790214	0.209786
132	1	0.879364	0.120636
133	1	1.06496	-0.0649564
134	1	0.649426	0.350574
135	1	0.960951	0.0390494
136	1	0.96054	0.0394598
137	1	1.17426	-0.174255
138	1	1.17544	-0.175442
139	1	0.942313	0.0576875
140	1	0.788299	0.211701
141	1	0.909661	0.0903393
142	1	0.833151	0.166849
143	1	0.730128	0.269872
144	1	0.694532	0.305468
145	1	0.546024	0.453976
146	1	0.845215	0.154785
147	1	1.31535	-0.315349
148	1	1.07768	-0.0776754
149	1	1.20659	-0.206594
150	1	0.858109	0.141891
151	1	0.934736	0.0652644
152	1	0.983107	0.0168933
153	1	0.963023	0.0369774
154	1	0.866877	0.133123
155	1	0.932309	0.0676913
156	1	1.00628	-0.00628452
157	1	0.749275	0.250725
158	1	1.21289	-0.212893
159	1	0.886759	0.113241
160	1	0.868541	0.131459
161	1	1.14056	-0.140557
162	1	1.04106	-0.0410619
163	1	0.918516	0.0814844
164	1	0.768534	0.231466
165	1	1.36484	-0.364843
166	0	0.44317	-0.44317
167	0	0.206045	-0.206045
168	0	0.0609586	-0.0609586
169	0	0.88485	-0.88485
170	0	0.176505	-0.176505
171	0	0.0689514	-0.0689514
172	0	0.804733	-0.804733
173	0	0.859847	-0.859847
174	0	0.90374	-0.90374
175	0	0.88374	-0.88374
176	0	0.858033	-0.858033
177	0	0.808416	-0.808416
178	1	0.65681	0.34319
179	1	0.735129	0.264871
180	1	0.949898	0.0501017
181	1	0.762107	0.237893
182	1	0.891144	0.108856
183	1	0.742862	0.257138
184	0	0.606097	-0.606097
185	0	0.635265	-0.635265
186	0	0.616986	-0.616986
187	0	0.378459	-0.378459
188	0	0.465226	-0.465226
189	0	0.422688	-0.422688
190	0	0.442635	-0.442635
191	0	0.640623	-0.640623
192	0	0.672477	-0.672477
193	0	-0.138198	0.138198
194	0	0.338933	-0.338933
195	0	0.586277	-0.586277

Goldfeld-Quandt test for Heteroskedasticity
p-values	Alternative Hypothesis
breakpoint index	greater	2-sided	less
25	2.27992e-49	4.55984e-49	1
26	3.55425e-71	7.10851e-71	1
27	1.9849e-81	3.9698e-81	1
28	7.48785e-92	1.49757e-91	1
29	7.6731e-110	1.53462e-109	1
30	2.61255e-121	5.22511e-121	1
31	0.000854365	0.00170873	0.999146
32	0.000299658	0.000599315	0.9997
33	9.83695e-05	0.000196739	0.999902
34	2.96326e-05	5.92653e-05	0.99997
35	1.49641e-05	2.99283e-05	0.999985
36	4.74139e-06	9.48278e-06	0.999995
37	6.65594e-05	0.000133119	0.999933
38	8.01292e-05	0.000160258	0.99992
39	0.0016839	0.0033678	0.998316
40	0.00162672	0.00325344	0.998373
41	0.00229942	0.00459884	0.997701
42	0.00189196	0.00378392	0.998108
43	0.00149679	0.00299357	0.998503
44	0.00087169	0.00174338	0.999128
45	0.000465541	0.000931082	0.999534
46	0.000246164	0.000492328	0.999754
47	0.000152432	0.000304864	0.999848
48	0.000199653	0.000399307	0.9998
49	0.000241119	0.000482237	0.999759
50	0.000174172	0.000348344	0.999826
51	0.000120162	0.000240323	0.99988
52	8.23553e-05	0.000164711	0.999918
53	6.64636e-05	0.000132927	0.999934
54	7.04863e-05	0.000140973	0.99993
55	9.58247e-05	0.000191649	0.999904
56	0.000110681	0.000221362	0.999889
57	6.68513e-05	0.000133703	0.999933
58	4.30801e-05	8.61602e-05	0.999957
59	2.78139e-05	5.56278e-05	0.999972
60	1.8529e-05	3.70581e-05	0.999981
61	0.000683238	0.00136648	0.999317
62	0.000619465	0.00123893	0.999381
63	0.000693853	0.00138771	0.999306
64	0.00058971	0.00117942	0.99941
65	0.000394678	0.000789357	0.999605
66	0.000390715	0.00078143	0.999609
67	0.000250143	0.000500286	0.99975
68	0.000164903	0.000329807	0.999835
69	0.000187593	0.000375185	0.999812
70	0.000138842	0.000277684	0.999861
71	8.39241e-05	0.000167848	0.999916
72	5.52085e-05	0.000110417	0.999945
73	3.25531e-05	6.51063e-05	0.999967
74	8.88846e-05	0.000177769	0.999911
75	0.000118181	0.000236361	0.999882
76	8.7446e-05	0.000174892	0.999913
77	5.56798e-05	0.00011136	0.999944
78	4.39686e-05	8.79371e-05	0.999956
79	2.59112e-05	5.18225e-05	0.999974
80	1.83698e-05	3.67396e-05	0.999982
81	1.36952e-05	2.73904e-05	0.999986
82	7.93226e-06	1.58645e-05	0.999992
83	5.25983e-06	1.05197e-05	0.999995
84	3.3559e-06	6.71181e-06	0.999997
85	2.34145e-06	4.68289e-06	0.999998
86	2.93564e-06	5.87128e-06	0.999997
87	6.21013e-06	1.24203e-05	0.999994
88	4.95237e-06	9.90475e-06	0.999995
89	4.29251e-06	8.58502e-06	0.999996
90	3.22619e-06	6.45237e-06	0.999997
91	2.63603e-06	5.27206e-06	0.999997
92	3.33437e-06	6.66874e-06	0.999997
93	2.12329e-06	4.24658e-06	0.999998
94	1.42579e-06	2.85158e-06	0.999999
95	9.28213e-07	1.85643e-06	0.999999
96	5.80735e-07	1.16147e-06	0.999999
97	3.61105e-07	7.2221e-07	1
98	2.01192e-07	4.02384e-07	1
99	1.23901e-07	2.47802e-07	1
100	7.36563e-08	1.47313e-07	1
101	5.35092e-08	1.07018e-07	1
102	5.15713e-08	1.03143e-07	1
103	6.70255e-08	1.34051e-07	1
104	1.31189e-07	2.62378e-07	1
105	2.08636e-07	4.17271e-07	1
106	3.90934e-07	7.81868e-07	1
107	9.4807e-07	1.89614e-06	0.999999
108	7.01353e-07	1.40271e-06	0.999999
109	1.60531e-06	3.21063e-06	0.999998
110	1.25224e-06	2.50448e-06	0.999999
111	7.50725e-07	1.50145e-06	0.999999
112	1.59023e-06	3.18046e-06	0.999998
113	1.06328e-06	2.12656e-06	0.999999
114	1.29783e-06	2.59567e-06	0.999999
115	1.31024e-06	2.62049e-06	0.999999
116	8.64746e-07	1.72949e-06	0.999999
117	1.24559e-06	2.49118e-06	0.999999
118	7.16003e-07	1.43201e-06	0.999999
119	5.21621e-07	1.04324e-06	0.999999
120	1.33787e-06	2.67573e-06	0.999999
121	8.5145e-06	1.7029e-05	0.999991
122	2.15922e-05	4.31844e-05	0.999978
123	1.36011e-05	2.72023e-05	0.999986
124	9.31627e-06	1.86325e-05	0.999991
125	6.46396e-06	1.29279e-05	0.999994
126	6.42568e-06	1.28514e-05	0.999994
127	1.35904e-05	2.71809e-05	0.999986
128	0.000156659	0.000313317	0.999843
129	0.000393375	0.000786751	0.999607
130	0.000555212	0.00111042	0.999445
131	0.00058949	0.00117898	0.999411
132	0.000417638	0.000835276	0.999582
133	0.000405038	0.000810076	0.999595
134	0.00181177	0.00362355	0.998188
135	0.00214676	0.00429351	0.997853
136	0.00207744	0.00415489	0.997923
137	0.00238451	0.00476903	0.997615
138	0.00219883	0.00439766	0.997801
139	0.00147126	0.00294252	0.998529
140	0.00163713	0.00327427	0.998363
141	0.00144335	0.0028867	0.998557
142	0.00147897	0.00295793	0.998521
143	0.00128697	0.00257395	0.998713
144	0.00479556	0.00959113	0.995204
145	0.00420415	0.0084083	0.995796
146	0.00326258	0.00652516	0.996737
147	0.00229064	0.00458128	0.997709
148	0.00146708	0.00293416	0.998533
149	0.001365	0.00273	0.998635
150	0.000900657	0.00180131	0.999099
151	0.00105225	0.0021045	0.998948
152	0.00302526	0.00605053	0.996975
153	0.0331963	0.0663925	0.966804
154	0.0318669	0.0637339	0.968133
155	0.036802	0.0736039	0.963198
156	0.0275058	0.0550116	0.972494
157	0.125243	0.250486	0.874757
158	0.101098	0.202196	0.898902
159	0.306803	0.613605	0.693197
160	0.255207	0.510414	0.744793
161	0.211836	0.423673	0.788164
162	0.175382	0.350764	0.824618
163	0.162933	0.325867	0.837067
164	0.264759	0.529518	0.735241
165	0.505723	0.988554	0.494277
166	0.639391	0.721218	0.360609
167	0.924654	0.150692	0.0753459
168	0.880827	0.238346	0.119173
169	0.93672	0.12656	0.06328
170	0.85663	0.286739	0.14337

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
25 & 2.27992e-49 & 4.55984e-49 & 1 \tabularnewline
26 & 3.55425e-71 & 7.10851e-71 & 1 \tabularnewline
27 & 1.9849e-81 & 3.9698e-81 & 1 \tabularnewline
28 & 7.48785e-92 & 1.49757e-91 & 1 \tabularnewline
29 & 7.6731e-110 & 1.53462e-109 & 1 \tabularnewline
30 & 2.61255e-121 & 5.22511e-121 & 1 \tabularnewline
31 & 0.000854365 & 0.00170873 & 0.999146 \tabularnewline
32 & 0.000299658 & 0.000599315 & 0.9997 \tabularnewline
33 & 9.83695e-05 & 0.000196739 & 0.999902 \tabularnewline
34 & 2.96326e-05 & 5.92653e-05 & 0.99997 \tabularnewline
35 & 1.49641e-05 & 2.99283e-05 & 0.999985 \tabularnewline
36 & 4.74139e-06 & 9.48278e-06 & 0.999995 \tabularnewline
37 & 6.65594e-05 & 0.000133119 & 0.999933 \tabularnewline
38 & 8.01292e-05 & 0.000160258 & 0.99992 \tabularnewline
39 & 0.0016839 & 0.0033678 & 0.998316 \tabularnewline
40 & 0.00162672 & 0.00325344 & 0.998373 \tabularnewline
41 & 0.00229942 & 0.00459884 & 0.997701 \tabularnewline
42 & 0.00189196 & 0.00378392 & 0.998108 \tabularnewline
43 & 0.00149679 & 0.00299357 & 0.998503 \tabularnewline
44 & 0.00087169 & 0.00174338 & 0.999128 \tabularnewline
45 & 0.000465541 & 0.000931082 & 0.999534 \tabularnewline
46 & 0.000246164 & 0.000492328 & 0.999754 \tabularnewline
47 & 0.000152432 & 0.000304864 & 0.999848 \tabularnewline
48 & 0.000199653 & 0.000399307 & 0.9998 \tabularnewline
49 & 0.000241119 & 0.000482237 & 0.999759 \tabularnewline
50 & 0.000174172 & 0.000348344 & 0.999826 \tabularnewline
51 & 0.000120162 & 0.000240323 & 0.99988 \tabularnewline
52 & 8.23553e-05 & 0.000164711 & 0.999918 \tabularnewline
53 & 6.64636e-05 & 0.000132927 & 0.999934 \tabularnewline
54 & 7.04863e-05 & 0.000140973 & 0.99993 \tabularnewline
55 & 9.58247e-05 & 0.000191649 & 0.999904 \tabularnewline
56 & 0.000110681 & 0.000221362 & 0.999889 \tabularnewline
57 & 6.68513e-05 & 0.000133703 & 0.999933 \tabularnewline
58 & 4.30801e-05 & 8.61602e-05 & 0.999957 \tabularnewline
59 & 2.78139e-05 & 5.56278e-05 & 0.999972 \tabularnewline
60 & 1.8529e-05 & 3.70581e-05 & 0.999981 \tabularnewline
61 & 0.000683238 & 0.00136648 & 0.999317 \tabularnewline
62 & 0.000619465 & 0.00123893 & 0.999381 \tabularnewline
63 & 0.000693853 & 0.00138771 & 0.999306 \tabularnewline
64 & 0.00058971 & 0.00117942 & 0.99941 \tabularnewline
65 & 0.000394678 & 0.000789357 & 0.999605 \tabularnewline
66 & 0.000390715 & 0.00078143 & 0.999609 \tabularnewline
67 & 0.000250143 & 0.000500286 & 0.99975 \tabularnewline
68 & 0.000164903 & 0.000329807 & 0.999835 \tabularnewline
69 & 0.000187593 & 0.000375185 & 0.999812 \tabularnewline
70 & 0.000138842 & 0.000277684 & 0.999861 \tabularnewline
71 & 8.39241e-05 & 0.000167848 & 0.999916 \tabularnewline
72 & 5.52085e-05 & 0.000110417 & 0.999945 \tabularnewline
73 & 3.25531e-05 & 6.51063e-05 & 0.999967 \tabularnewline
74 & 8.88846e-05 & 0.000177769 & 0.999911 \tabularnewline
75 & 0.000118181 & 0.000236361 & 0.999882 \tabularnewline
76 & 8.7446e-05 & 0.000174892 & 0.999913 \tabularnewline
77 & 5.56798e-05 & 0.00011136 & 0.999944 \tabularnewline
78 & 4.39686e-05 & 8.79371e-05 & 0.999956 \tabularnewline
79 & 2.59112e-05 & 5.18225e-05 & 0.999974 \tabularnewline
80 & 1.83698e-05 & 3.67396e-05 & 0.999982 \tabularnewline
81 & 1.36952e-05 & 2.73904e-05 & 0.999986 \tabularnewline
82 & 7.93226e-06 & 1.58645e-05 & 0.999992 \tabularnewline
83 & 5.25983e-06 & 1.05197e-05 & 0.999995 \tabularnewline
84 & 3.3559e-06 & 6.71181e-06 & 0.999997 \tabularnewline
85 & 2.34145e-06 & 4.68289e-06 & 0.999998 \tabularnewline
86 & 2.93564e-06 & 5.87128e-06 & 0.999997 \tabularnewline
87 & 6.21013e-06 & 1.24203e-05 & 0.999994 \tabularnewline
88 & 4.95237e-06 & 9.90475e-06 & 0.999995 \tabularnewline
89 & 4.29251e-06 & 8.58502e-06 & 0.999996 \tabularnewline
90 & 3.22619e-06 & 6.45237e-06 & 0.999997 \tabularnewline
91 & 2.63603e-06 & 5.27206e-06 & 0.999997 \tabularnewline
92 & 3.33437e-06 & 6.66874e-06 & 0.999997 \tabularnewline
93 & 2.12329e-06 & 4.24658e-06 & 0.999998 \tabularnewline
94 & 1.42579e-06 & 2.85158e-06 & 0.999999 \tabularnewline
95 & 9.28213e-07 & 1.85643e-06 & 0.999999 \tabularnewline
96 & 5.80735e-07 & 1.16147e-06 & 0.999999 \tabularnewline
97 & 3.61105e-07 & 7.2221e-07 & 1 \tabularnewline
98 & 2.01192e-07 & 4.02384e-07 & 1 \tabularnewline
99 & 1.23901e-07 & 2.47802e-07 & 1 \tabularnewline
100 & 7.36563e-08 & 1.47313e-07 & 1 \tabularnewline
101 & 5.35092e-08 & 1.07018e-07 & 1 \tabularnewline
102 & 5.15713e-08 & 1.03143e-07 & 1 \tabularnewline
103 & 6.70255e-08 & 1.34051e-07 & 1 \tabularnewline
104 & 1.31189e-07 & 2.62378e-07 & 1 \tabularnewline
105 & 2.08636e-07 & 4.17271e-07 & 1 \tabularnewline
106 & 3.90934e-07 & 7.81868e-07 & 1 \tabularnewline
107 & 9.4807e-07 & 1.89614e-06 & 0.999999 \tabularnewline
108 & 7.01353e-07 & 1.40271e-06 & 0.999999 \tabularnewline
109 & 1.60531e-06 & 3.21063e-06 & 0.999998 \tabularnewline
110 & 1.25224e-06 & 2.50448e-06 & 0.999999 \tabularnewline
111 & 7.50725e-07 & 1.50145e-06 & 0.999999 \tabularnewline
112 & 1.59023e-06 & 3.18046e-06 & 0.999998 \tabularnewline
113 & 1.06328e-06 & 2.12656e-06 & 0.999999 \tabularnewline
114 & 1.29783e-06 & 2.59567e-06 & 0.999999 \tabularnewline
115 & 1.31024e-06 & 2.62049e-06 & 0.999999 \tabularnewline
116 & 8.64746e-07 & 1.72949e-06 & 0.999999 \tabularnewline
117 & 1.24559e-06 & 2.49118e-06 & 0.999999 \tabularnewline
118 & 7.16003e-07 & 1.43201e-06 & 0.999999 \tabularnewline
119 & 5.21621e-07 & 1.04324e-06 & 0.999999 \tabularnewline
120 & 1.33787e-06 & 2.67573e-06 & 0.999999 \tabularnewline
121 & 8.5145e-06 & 1.7029e-05 & 0.999991 \tabularnewline
122 & 2.15922e-05 & 4.31844e-05 & 0.999978 \tabularnewline
123 & 1.36011e-05 & 2.72023e-05 & 0.999986 \tabularnewline
124 & 9.31627e-06 & 1.86325e-05 & 0.999991 \tabularnewline
125 & 6.46396e-06 & 1.29279e-05 & 0.999994 \tabularnewline
126 & 6.42568e-06 & 1.28514e-05 & 0.999994 \tabularnewline
127 & 1.35904e-05 & 2.71809e-05 & 0.999986 \tabularnewline
128 & 0.000156659 & 0.000313317 & 0.999843 \tabularnewline
129 & 0.000393375 & 0.000786751 & 0.999607 \tabularnewline
130 & 0.000555212 & 0.00111042 & 0.999445 \tabularnewline
131 & 0.00058949 & 0.00117898 & 0.999411 \tabularnewline
132 & 0.000417638 & 0.000835276 & 0.999582 \tabularnewline
133 & 0.000405038 & 0.000810076 & 0.999595 \tabularnewline
134 & 0.00181177 & 0.00362355 & 0.998188 \tabularnewline
135 & 0.00214676 & 0.00429351 & 0.997853 \tabularnewline
136 & 0.00207744 & 0.00415489 & 0.997923 \tabularnewline
137 & 0.00238451 & 0.00476903 & 0.997615 \tabularnewline
138 & 0.00219883 & 0.00439766 & 0.997801 \tabularnewline
139 & 0.00147126 & 0.00294252 & 0.998529 \tabularnewline
140 & 0.00163713 & 0.00327427 & 0.998363 \tabularnewline
141 & 0.00144335 & 0.0028867 & 0.998557 \tabularnewline
142 & 0.00147897 & 0.00295793 & 0.998521 \tabularnewline
143 & 0.00128697 & 0.00257395 & 0.998713 \tabularnewline
144 & 0.00479556 & 0.00959113 & 0.995204 \tabularnewline
145 & 0.00420415 & 0.0084083 & 0.995796 \tabularnewline
146 & 0.00326258 & 0.00652516 & 0.996737 \tabularnewline
147 & 0.00229064 & 0.00458128 & 0.997709 \tabularnewline
148 & 0.00146708 & 0.00293416 & 0.998533 \tabularnewline
149 & 0.001365 & 0.00273 & 0.998635 \tabularnewline
150 & 0.000900657 & 0.00180131 & 0.999099 \tabularnewline
151 & 0.00105225 & 0.0021045 & 0.998948 \tabularnewline
152 & 0.00302526 & 0.00605053 & 0.996975 \tabularnewline
153 & 0.0331963 & 0.0663925 & 0.966804 \tabularnewline
154 & 0.0318669 & 0.0637339 & 0.968133 \tabularnewline
155 & 0.036802 & 0.0736039 & 0.963198 \tabularnewline
156 & 0.0275058 & 0.0550116 & 0.972494 \tabularnewline
157 & 0.125243 & 0.250486 & 0.874757 \tabularnewline
158 & 0.101098 & 0.202196 & 0.898902 \tabularnewline
159 & 0.306803 & 0.613605 & 0.693197 \tabularnewline
160 & 0.255207 & 0.510414 & 0.744793 \tabularnewline
161 & 0.211836 & 0.423673 & 0.788164 \tabularnewline
162 & 0.175382 & 0.350764 & 0.824618 \tabularnewline
163 & 0.162933 & 0.325867 & 0.837067 \tabularnewline
164 & 0.264759 & 0.529518 & 0.735241 \tabularnewline
165 & 0.505723 & 0.988554 & 0.494277 \tabularnewline
166 & 0.639391 & 0.721218 & 0.360609 \tabularnewline
167 & 0.924654 & 0.150692 & 0.0753459 \tabularnewline
168 & 0.880827 & 0.238346 & 0.119173 \tabularnewline
169 & 0.93672 & 0.12656 & 0.06328 \tabularnewline
170 & 0.85663 & 0.286739 & 0.14337 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=231431&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]25[/C][C]2.27992e-49[/C][C]4.55984e-49[/C][C]1[/C][/ROW]
[ROW][C]26[/C][C]3.55425e-71[/C][C]7.10851e-71[/C][C]1[/C][/ROW]
[ROW][C]27[/C][C]1.9849e-81[/C][C]3.9698e-81[/C][C]1[/C][/ROW]
[ROW][C]28[/C][C]7.48785e-92[/C][C]1.49757e-91[/C][C]1[/C][/ROW]
[ROW][C]29[/C][C]7.6731e-110[/C][C]1.53462e-109[/C][C]1[/C][/ROW]
[ROW][C]30[/C][C]2.61255e-121[/C][C]5.22511e-121[/C][C]1[/C][/ROW]
[ROW][C]31[/C][C]0.000854365[/C][C]0.00170873[/C][C]0.999146[/C][/ROW]
[ROW][C]32[/C][C]0.000299658[/C][C]0.000599315[/C][C]0.9997[/C][/ROW]
[ROW][C]33[/C][C]9.83695e-05[/C][C]0.000196739[/C][C]0.999902[/C][/ROW]
[ROW][C]34[/C][C]2.96326e-05[/C][C]5.92653e-05[/C][C]0.99997[/C][/ROW]
[ROW][C]35[/C][C]1.49641e-05[/C][C]2.99283e-05[/C][C]0.999985[/C][/ROW]
[ROW][C]36[/C][C]4.74139e-06[/C][C]9.48278e-06[/C][C]0.999995[/C][/ROW]
[ROW][C]37[/C][C]6.65594e-05[/C][C]0.000133119[/C][C]0.999933[/C][/ROW]
[ROW][C]38[/C][C]8.01292e-05[/C][C]0.000160258[/C][C]0.99992[/C][/ROW]
[ROW][C]39[/C][C]0.0016839[/C][C]0.0033678[/C][C]0.998316[/C][/ROW]
[ROW][C]40[/C][C]0.00162672[/C][C]0.00325344[/C][C]0.998373[/C][/ROW]
[ROW][C]41[/C][C]0.00229942[/C][C]0.00459884[/C][C]0.997701[/C][/ROW]
[ROW][C]42[/C][C]0.00189196[/C][C]0.00378392[/C][C]0.998108[/C][/ROW]
[ROW][C]43[/C][C]0.00149679[/C][C]0.00299357[/C][C]0.998503[/C][/ROW]
[ROW][C]44[/C][C]0.00087169[/C][C]0.00174338[/C][C]0.999128[/C][/ROW]
[ROW][C]45[/C][C]0.000465541[/C][C]0.000931082[/C][C]0.999534[/C][/ROW]
[ROW][C]46[/C][C]0.000246164[/C][C]0.000492328[/C][C]0.999754[/C][/ROW]
[ROW][C]47[/C][C]0.000152432[/C][C]0.000304864[/C][C]0.999848[/C][/ROW]
[ROW][C]48[/C][C]0.000199653[/C][C]0.000399307[/C][C]0.9998[/C][/ROW]
[ROW][C]49[/C][C]0.000241119[/C][C]0.000482237[/C][C]0.999759[/C][/ROW]
[ROW][C]50[/C][C]0.000174172[/C][C]0.000348344[/C][C]0.999826[/C][/ROW]
[ROW][C]51[/C][C]0.000120162[/C][C]0.000240323[/C][C]0.99988[/C][/ROW]
[ROW][C]52[/C][C]8.23553e-05[/C][C]0.000164711[/C][C]0.999918[/C][/ROW]
[ROW][C]53[/C][C]6.64636e-05[/C][C]0.000132927[/C][C]0.999934[/C][/ROW]
[ROW][C]54[/C][C]7.04863e-05[/C][C]0.000140973[/C][C]0.99993[/C][/ROW]
[ROW][C]55[/C][C]9.58247e-05[/C][C]0.000191649[/C][C]0.999904[/C][/ROW]
[ROW][C]56[/C][C]0.000110681[/C][C]0.000221362[/C][C]0.999889[/C][/ROW]
[ROW][C]57[/C][C]6.68513e-05[/C][C]0.000133703[/C][C]0.999933[/C][/ROW]
[ROW][C]58[/C][C]4.30801e-05[/C][C]8.61602e-05[/C][C]0.999957[/C][/ROW]
[ROW][C]59[/C][C]2.78139e-05[/C][C]5.56278e-05[/C][C]0.999972[/C][/ROW]
[ROW][C]60[/C][C]1.8529e-05[/C][C]3.70581e-05[/C][C]0.999981[/C][/ROW]
[ROW][C]61[/C][C]0.000683238[/C][C]0.00136648[/C][C]0.999317[/C][/ROW]
[ROW][C]62[/C][C]0.000619465[/C][C]0.00123893[/C][C]0.999381[/C][/ROW]
[ROW][C]63[/C][C]0.000693853[/C][C]0.00138771[/C][C]0.999306[/C][/ROW]
[ROW][C]64[/C][C]0.00058971[/C][C]0.00117942[/C][C]0.99941[/C][/ROW]
[ROW][C]65[/C][C]0.000394678[/C][C]0.000789357[/C][C]0.999605[/C][/ROW]
[ROW][C]66[/C][C]0.000390715[/C][C]0.00078143[/C][C]0.999609[/C][/ROW]
[ROW][C]67[/C][C]0.000250143[/C][C]0.000500286[/C][C]0.99975[/C][/ROW]
[ROW][C]68[/C][C]0.000164903[/C][C]0.000329807[/C][C]0.999835[/C][/ROW]
[ROW][C]69[/C][C]0.000187593[/C][C]0.000375185[/C][C]0.999812[/C][/ROW]
[ROW][C]70[/C][C]0.000138842[/C][C]0.000277684[/C][C]0.999861[/C][/ROW]
[ROW][C]71[/C][C]8.39241e-05[/C][C]0.000167848[/C][C]0.999916[/C][/ROW]
[ROW][C]72[/C][C]5.52085e-05[/C][C]0.000110417[/C][C]0.999945[/C][/ROW]
[ROW][C]73[/C][C]3.25531e-05[/C][C]6.51063e-05[/C][C]0.999967[/C][/ROW]
[ROW][C]74[/C][C]8.88846e-05[/C][C]0.000177769[/C][C]0.999911[/C][/ROW]
[ROW][C]75[/C][C]0.000118181[/C][C]0.000236361[/C][C]0.999882[/C][/ROW]
[ROW][C]76[/C][C]8.7446e-05[/C][C]0.000174892[/C][C]0.999913[/C][/ROW]
[ROW][C]77[/C][C]5.56798e-05[/C][C]0.00011136[/C][C]0.999944[/C][/ROW]
[ROW][C]78[/C][C]4.39686e-05[/C][C]8.79371e-05[/C][C]0.999956[/C][/ROW]
[ROW][C]79[/C][C]2.59112e-05[/C][C]5.18225e-05[/C][C]0.999974[/C][/ROW]
[ROW][C]80[/C][C]1.83698e-05[/C][C]3.67396e-05[/C][C]0.999982[/C][/ROW]
[ROW][C]81[/C][C]1.36952e-05[/C][C]2.73904e-05[/C][C]0.999986[/C][/ROW]
[ROW][C]82[/C][C]7.93226e-06[/C][C]1.58645e-05[/C][C]0.999992[/C][/ROW]
[ROW][C]83[/C][C]5.25983e-06[/C][C]1.05197e-05[/C][C]0.999995[/C][/ROW]
[ROW][C]84[/C][C]3.3559e-06[/C][C]6.71181e-06[/C][C]0.999997[/C][/ROW]
[ROW][C]85[/C][C]2.34145e-06[/C][C]4.68289e-06[/C][C]0.999998[/C][/ROW]
[ROW][C]86[/C][C]2.93564e-06[/C][C]5.87128e-06[/C][C]0.999997[/C][/ROW]
[ROW][C]87[/C][C]6.21013e-06[/C][C]1.24203e-05[/C][C]0.999994[/C][/ROW]
[ROW][C]88[/C][C]4.95237e-06[/C][C]9.90475e-06[/C][C]0.999995[/C][/ROW]
[ROW][C]89[/C][C]4.29251e-06[/C][C]8.58502e-06[/C][C]0.999996[/C][/ROW]
[ROW][C]90[/C][C]3.22619e-06[/C][C]6.45237e-06[/C][C]0.999997[/C][/ROW]
[ROW][C]91[/C][C]2.63603e-06[/C][C]5.27206e-06[/C][C]0.999997[/C][/ROW]
[ROW][C]92[/C][C]3.33437e-06[/C][C]6.66874e-06[/C][C]0.999997[/C][/ROW]
[ROW][C]93[/C][C]2.12329e-06[/C][C]4.24658e-06[/C][C]0.999998[/C][/ROW]
[ROW][C]94[/C][C]1.42579e-06[/C][C]2.85158e-06[/C][C]0.999999[/C][/ROW]
[ROW][C]95[/C][C]9.28213e-07[/C][C]1.85643e-06[/C][C]0.999999[/C][/ROW]
[ROW][C]96[/C][C]5.80735e-07[/C][C]1.16147e-06[/C][C]0.999999[/C][/ROW]
[ROW][C]97[/C][C]3.61105e-07[/C][C]7.2221e-07[/C][C]1[/C][/ROW]
[ROW][C]98[/C][C]2.01192e-07[/C][C]4.02384e-07[/C][C]1[/C][/ROW]
[ROW][C]99[/C][C]1.23901e-07[/C][C]2.47802e-07[/C][C]1[/C][/ROW]
[ROW][C]100[/C][C]7.36563e-08[/C][C]1.47313e-07[/C][C]1[/C][/ROW]
[ROW][C]101[/C][C]5.35092e-08[/C][C]1.07018e-07[/C][C]1[/C][/ROW]
[ROW][C]102[/C][C]5.15713e-08[/C][C]1.03143e-07[/C][C]1[/C][/ROW]
[ROW][C]103[/C][C]6.70255e-08[/C][C]1.34051e-07[/C][C]1[/C][/ROW]
[ROW][C]104[/C][C]1.31189e-07[/C][C]2.62378e-07[/C][C]1[/C][/ROW]
[ROW][C]105[/C][C]2.08636e-07[/C][C]4.17271e-07[/C][C]1[/C][/ROW]
[ROW][C]106[/C][C]3.90934e-07[/C][C]7.81868e-07[/C][C]1[/C][/ROW]
[ROW][C]107[/C][C]9.4807e-07[/C][C]1.89614e-06[/C][C]0.999999[/C][/ROW]
[ROW][C]108[/C][C]7.01353e-07[/C][C]1.40271e-06[/C][C]0.999999[/C][/ROW]
[ROW][C]109[/C][C]1.60531e-06[/C][C]3.21063e-06[/C][C]0.999998[/C][/ROW]
[ROW][C]110[/C][C]1.25224e-06[/C][C]2.50448e-06[/C][C]0.999999[/C][/ROW]
[ROW][C]111[/C][C]7.50725e-07[/C][C]1.50145e-06[/C][C]0.999999[/C][/ROW]
[ROW][C]112[/C][C]1.59023e-06[/C][C]3.18046e-06[/C][C]0.999998[/C][/ROW]
[ROW][C]113[/C][C]1.06328e-06[/C][C]2.12656e-06[/C][C]0.999999[/C][/ROW]
[ROW][C]114[/C][C]1.29783e-06[/C][C]2.59567e-06[/C][C]0.999999[/C][/ROW]
[ROW][C]115[/C][C]1.31024e-06[/C][C]2.62049e-06[/C][C]0.999999[/C][/ROW]
[ROW][C]116[/C][C]8.64746e-07[/C][C]1.72949e-06[/C][C]0.999999[/C][/ROW]
[ROW][C]117[/C][C]1.24559e-06[/C][C]2.49118e-06[/C][C]0.999999[/C][/ROW]
[ROW][C]118[/C][C]7.16003e-07[/C][C]1.43201e-06[/C][C]0.999999[/C][/ROW]
[ROW][C]119[/C][C]5.21621e-07[/C][C]1.04324e-06[/C][C]0.999999[/C][/ROW]
[ROW][C]120[/C][C]1.33787e-06[/C][C]2.67573e-06[/C][C]0.999999[/C][/ROW]
[ROW][C]121[/C][C]8.5145e-06[/C][C]1.7029e-05[/C][C]0.999991[/C][/ROW]
[ROW][C]122[/C][C]2.15922e-05[/C][C]4.31844e-05[/C][C]0.999978[/C][/ROW]
[ROW][C]123[/C][C]1.36011e-05[/C][C]2.72023e-05[/C][C]0.999986[/C][/ROW]
[ROW][C]124[/C][C]9.31627e-06[/C][C]1.86325e-05[/C][C]0.999991[/C][/ROW]
[ROW][C]125[/C][C]6.46396e-06[/C][C]1.29279e-05[/C][C]0.999994[/C][/ROW]
[ROW][C]126[/C][C]6.42568e-06[/C][C]1.28514e-05[/C][C]0.999994[/C][/ROW]
[ROW][C]127[/C][C]1.35904e-05[/C][C]2.71809e-05[/C][C]0.999986[/C][/ROW]
[ROW][C]128[/C][C]0.000156659[/C][C]0.000313317[/C][C]0.999843[/C][/ROW]
[ROW][C]129[/C][C]0.000393375[/C][C]0.000786751[/C][C]0.999607[/C][/ROW]
[ROW][C]130[/C][C]0.000555212[/C][C]0.00111042[/C][C]0.999445[/C][/ROW]
[ROW][C]131[/C][C]0.00058949[/C][C]0.00117898[/C][C]0.999411[/C][/ROW]
[ROW][C]132[/C][C]0.000417638[/C][C]0.000835276[/C][C]0.999582[/C][/ROW]
[ROW][C]133[/C][C]0.000405038[/C][C]0.000810076[/C][C]0.999595[/C][/ROW]
[ROW][C]134[/C][C]0.00181177[/C][C]0.00362355[/C][C]0.998188[/C][/ROW]
[ROW][C]135[/C][C]0.00214676[/C][C]0.00429351[/C][C]0.997853[/C][/ROW]
[ROW][C]136[/C][C]0.00207744[/C][C]0.00415489[/C][C]0.997923[/C][/ROW]
[ROW][C]137[/C][C]0.00238451[/C][C]0.00476903[/C][C]0.997615[/C][/ROW]
[ROW][C]138[/C][C]0.00219883[/C][C]0.00439766[/C][C]0.997801[/C][/ROW]
[ROW][C]139[/C][C]0.00147126[/C][C]0.00294252[/C][C]0.998529[/C][/ROW]
[ROW][C]140[/C][C]0.00163713[/C][C]0.00327427[/C][C]0.998363[/C][/ROW]
[ROW][C]141[/C][C]0.00144335[/C][C]0.0028867[/C][C]0.998557[/C][/ROW]
[ROW][C]142[/C][C]0.00147897[/C][C]0.00295793[/C][C]0.998521[/C][/ROW]
[ROW][C]143[/C][C]0.00128697[/C][C]0.00257395[/C][C]0.998713[/C][/ROW]
[ROW][C]144[/C][C]0.00479556[/C][C]0.00959113[/C][C]0.995204[/C][/ROW]
[ROW][C]145[/C][C]0.00420415[/C][C]0.0084083[/C][C]0.995796[/C][/ROW]
[ROW][C]146[/C][C]0.00326258[/C][C]0.00652516[/C][C]0.996737[/C][/ROW]
[ROW][C]147[/C][C]0.00229064[/C][C]0.00458128[/C][C]0.997709[/C][/ROW]
[ROW][C]148[/C][C]0.00146708[/C][C]0.00293416[/C][C]0.998533[/C][/ROW]
[ROW][C]149[/C][C]0.001365[/C][C]0.00273[/C][C]0.998635[/C][/ROW]
[ROW][C]150[/C][C]0.000900657[/C][C]0.00180131[/C][C]0.999099[/C][/ROW]
[ROW][C]151[/C][C]0.00105225[/C][C]0.0021045[/C][C]0.998948[/C][/ROW]
[ROW][C]152[/C][C]0.00302526[/C][C]0.00605053[/C][C]0.996975[/C][/ROW]
[ROW][C]153[/C][C]0.0331963[/C][C]0.0663925[/C][C]0.966804[/C][/ROW]
[ROW][C]154[/C][C]0.0318669[/C][C]0.0637339[/C][C]0.968133[/C][/ROW]
[ROW][C]155[/C][C]0.036802[/C][C]0.0736039[/C][C]0.963198[/C][/ROW]
[ROW][C]156[/C][C]0.0275058[/C][C]0.0550116[/C][C]0.972494[/C][/ROW]
[ROW][C]157[/C][C]0.125243[/C][C]0.250486[/C][C]0.874757[/C][/ROW]
[ROW][C]158[/C][C]0.101098[/C][C]0.202196[/C][C]0.898902[/C][/ROW]
[ROW][C]159[/C][C]0.306803[/C][C]0.613605[/C][C]0.693197[/C][/ROW]
[ROW][C]160[/C][C]0.255207[/C][C]0.510414[/C][C]0.744793[/C][/ROW]
[ROW][C]161[/C][C]0.211836[/C][C]0.423673[/C][C]0.788164[/C][/ROW]
[ROW][C]162[/C][C]0.175382[/C][C]0.350764[/C][C]0.824618[/C][/ROW]
[ROW][C]163[/C][C]0.162933[/C][C]0.325867[/C][C]0.837067[/C][/ROW]
[ROW][C]164[/C][C]0.264759[/C][C]0.529518[/C][C]0.735241[/C][/ROW]
[ROW][C]165[/C][C]0.505723[/C][C]0.988554[/C][C]0.494277[/C][/ROW]
[ROW][C]166[/C][C]0.639391[/C][C]0.721218[/C][C]0.360609[/C][/ROW]
[ROW][C]167[/C][C]0.924654[/C][C]0.150692[/C][C]0.0753459[/C][/ROW]
[ROW][C]168[/C][C]0.880827[/C][C]0.238346[/C][C]0.119173[/C][/ROW]
[ROW][C]169[/C][C]0.93672[/C][C]0.12656[/C][C]0.06328[/C][/ROW]
[ROW][C]170[/C][C]0.85663[/C][C]0.286739[/C][C]0.14337[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=231431&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=231431&T=5

As an alternative you can also use a QR Code:

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

Goldfeld-Quandt test for Heteroskedasticity
p-values	Alternative Hypothesis
breakpoint index	greater	2-sided	less
25	2.27992e-49	4.55984e-49	1
26	3.55425e-71	7.10851e-71	1
27	1.9849e-81	3.9698e-81	1
28	7.48785e-92	1.49757e-91	1
29	7.6731e-110	1.53462e-109	1
30	2.61255e-121	5.22511e-121	1
31	0.000854365	0.00170873	0.999146
32	0.000299658	0.000599315	0.9997
33	9.83695e-05	0.000196739	0.999902
34	2.96326e-05	5.92653e-05	0.99997
35	1.49641e-05	2.99283e-05	0.999985
36	4.74139e-06	9.48278e-06	0.999995
37	6.65594e-05	0.000133119	0.999933
38	8.01292e-05	0.000160258	0.99992
39	0.0016839	0.0033678	0.998316
40	0.00162672	0.00325344	0.998373
41	0.00229942	0.00459884	0.997701
42	0.00189196	0.00378392	0.998108
43	0.00149679	0.00299357	0.998503
44	0.00087169	0.00174338	0.999128
45	0.000465541	0.000931082	0.999534
46	0.000246164	0.000492328	0.999754
47	0.000152432	0.000304864	0.999848
48	0.000199653	0.000399307	0.9998
49	0.000241119	0.000482237	0.999759
50	0.000174172	0.000348344	0.999826
51	0.000120162	0.000240323	0.99988
52	8.23553e-05	0.000164711	0.999918
53	6.64636e-05	0.000132927	0.999934
54	7.04863e-05	0.000140973	0.99993
55	9.58247e-05	0.000191649	0.999904
56	0.000110681	0.000221362	0.999889
57	6.68513e-05	0.000133703	0.999933
58	4.30801e-05	8.61602e-05	0.999957
59	2.78139e-05	5.56278e-05	0.999972
60	1.8529e-05	3.70581e-05	0.999981
61	0.000683238	0.00136648	0.999317
62	0.000619465	0.00123893	0.999381
63	0.000693853	0.00138771	0.999306
64	0.00058971	0.00117942	0.99941
65	0.000394678	0.000789357	0.999605
66	0.000390715	0.00078143	0.999609
67	0.000250143	0.000500286	0.99975
68	0.000164903	0.000329807	0.999835
69	0.000187593	0.000375185	0.999812
70	0.000138842	0.000277684	0.999861
71	8.39241e-05	0.000167848	0.999916
72	5.52085e-05	0.000110417	0.999945
73	3.25531e-05	6.51063e-05	0.999967
74	8.88846e-05	0.000177769	0.999911
75	0.000118181	0.000236361	0.999882
76	8.7446e-05	0.000174892	0.999913
77	5.56798e-05	0.00011136	0.999944
78	4.39686e-05	8.79371e-05	0.999956
79	2.59112e-05	5.18225e-05	0.999974
80	1.83698e-05	3.67396e-05	0.999982
81	1.36952e-05	2.73904e-05	0.999986
82	7.93226e-06	1.58645e-05	0.999992
83	5.25983e-06	1.05197e-05	0.999995
84	3.3559e-06	6.71181e-06	0.999997
85	2.34145e-06	4.68289e-06	0.999998
86	2.93564e-06	5.87128e-06	0.999997
87	6.21013e-06	1.24203e-05	0.999994
88	4.95237e-06	9.90475e-06	0.999995
89	4.29251e-06	8.58502e-06	0.999996
90	3.22619e-06	6.45237e-06	0.999997
91	2.63603e-06	5.27206e-06	0.999997
92	3.33437e-06	6.66874e-06	0.999997
93	2.12329e-06	4.24658e-06	0.999998
94	1.42579e-06	2.85158e-06	0.999999
95	9.28213e-07	1.85643e-06	0.999999
96	5.80735e-07	1.16147e-06	0.999999
97	3.61105e-07	7.2221e-07	1
98	2.01192e-07	4.02384e-07	1
99	1.23901e-07	2.47802e-07	1
100	7.36563e-08	1.47313e-07	1
101	5.35092e-08	1.07018e-07	1
102	5.15713e-08	1.03143e-07	1
103	6.70255e-08	1.34051e-07	1
104	1.31189e-07	2.62378e-07	1
105	2.08636e-07	4.17271e-07	1
106	3.90934e-07	7.81868e-07	1
107	9.4807e-07	1.89614e-06	0.999999
108	7.01353e-07	1.40271e-06	0.999999
109	1.60531e-06	3.21063e-06	0.999998
110	1.25224e-06	2.50448e-06	0.999999
111	7.50725e-07	1.50145e-06	0.999999
112	1.59023e-06	3.18046e-06	0.999998
113	1.06328e-06	2.12656e-06	0.999999
114	1.29783e-06	2.59567e-06	0.999999
115	1.31024e-06	2.62049e-06	0.999999
116	8.64746e-07	1.72949e-06	0.999999
117	1.24559e-06	2.49118e-06	0.999999
118	7.16003e-07	1.43201e-06	0.999999
119	5.21621e-07	1.04324e-06	0.999999
120	1.33787e-06	2.67573e-06	0.999999
121	8.5145e-06	1.7029e-05	0.999991
122	2.15922e-05	4.31844e-05	0.999978
123	1.36011e-05	2.72023e-05	0.999986
124	9.31627e-06	1.86325e-05	0.999991
125	6.46396e-06	1.29279e-05	0.999994
126	6.42568e-06	1.28514e-05	0.999994
127	1.35904e-05	2.71809e-05	0.999986
128	0.000156659	0.000313317	0.999843
129	0.000393375	0.000786751	0.999607
130	0.000555212	0.00111042	0.999445
131	0.00058949	0.00117898	0.999411
132	0.000417638	0.000835276	0.999582
133	0.000405038	0.000810076	0.999595
134	0.00181177	0.00362355	0.998188
135	0.00214676	0.00429351	0.997853
136	0.00207744	0.00415489	0.997923
137	0.00238451	0.00476903	0.997615
138	0.00219883	0.00439766	0.997801
139	0.00147126	0.00294252	0.998529
140	0.00163713	0.00327427	0.998363
141	0.00144335	0.0028867	0.998557
142	0.00147897	0.00295793	0.998521
143	0.00128697	0.00257395	0.998713
144	0.00479556	0.00959113	0.995204
145	0.00420415	0.0084083	0.995796
146	0.00326258	0.00652516	0.996737
147	0.00229064	0.00458128	0.997709
148	0.00146708	0.00293416	0.998533
149	0.001365	0.00273	0.998635
150	0.000900657	0.00180131	0.999099
151	0.00105225	0.0021045	0.998948
152	0.00302526	0.00605053	0.996975
153	0.0331963	0.0663925	0.966804
154	0.0318669	0.0637339	0.968133
155	0.036802	0.0736039	0.963198
156	0.0275058	0.0550116	0.972494
157	0.125243	0.250486	0.874757
158	0.101098	0.202196	0.898902
159	0.306803	0.613605	0.693197
160	0.255207	0.510414	0.744793
161	0.211836	0.423673	0.788164
162	0.175382	0.350764	0.824618
163	0.162933	0.325867	0.837067
164	0.264759	0.529518	0.735241
165	0.505723	0.988554	0.494277
166	0.639391	0.721218	0.360609
167	0.924654	0.150692	0.0753459
168	0.880827	0.238346	0.119173
169	0.93672	0.12656	0.06328
170	0.85663	0.286739	0.14337

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description	# significant tests	% significant tests	OK/NOK
1% type I error level	128	0.876712	NOK
5% type I error level	128	0.876712	NOK
10% type I error level	132	0.90411	NOK

\begin{tabular}{lllllllll}
\hline
Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
Description & # significant tests & % significant tests & OK/NOK \tabularnewline
1% type I error level & 128 & 0.876712 & NOK \tabularnewline
5% type I error level & 128 & 0.876712 & NOK \tabularnewline
10% type I error level & 132 & 0.90411 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=231431&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]128[/C][C]0.876712[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]128[/C][C]0.876712[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]132[/C][C]0.90411[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=231431&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=231431&T=6

As an alternative you can also use a QR Code:

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

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description	# significant tests	% significant tests	OK/NOK
1% type I error level	128	0.876712	NOK
5% type I error level	128	0.876712	NOK
10% type I error level	132	0.90411	NOK

Figure 1

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Figure 3

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Figure 4

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Figure 5

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Figure 6

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Figure 7

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Figure 8

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Figure 9

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Figure 10

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Parameters (Session):

par1 = 16 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;

Parameters (R input):

par1 = 16 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;

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

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

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code