Free Statistics

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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationMon, 02 Dec 2013 13:50:52 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Dec/02/t1386010343t41bya815kws6pn.htm/, Retrieved Fri, 29 Mar 2024 09:21:28 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=230059, Retrieved Fri, 29 Mar 2024 09:21:28 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact62
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Multiple Regression] [WS10 Multiple Reg...] [2013-12-02 18:50:52] [7363efa32e0ba5074b153190cd9b70c3] [Current]
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Dataseries X:
119.992 157.302 74.997 0.00784 0.00007 0.0037 0.00554 0.01109 0.04374 0.426 0.02182 0.0313 0.02971 0.06545 0.02211 21.033 1 0.414783 0.815285 -4.813031 0.266482 2.301442 0.284654
122.4 148.65 113.819 0.00968 0.00008 0.00465 0.00696 0.01394 0.06134 0.626 0.03134 0.04518 0.04368 0.09403 0.01929 19.085 1 0.458359 0.819521 -4.075192 0.33559 2.486855 0.368674
116.682 131.111 111.555 0.0105 0.00009 0.00544 0.00781 0.01633 0.05233 0.482 0.02757 0.03858 0.0359 0.0827 0.01309 20.651 1 0.429895 0.825288 -4.443179 0.311173 2.342259 0.332634
116.676 137.871 111.366 0.00997 0.00009 0.00502 0.00698 0.01505 0.05492 0.517 0.02924 0.04005 0.03772 0.08771 0.01353 20.644 1 0.434969 0.819235 -4.117501 0.334147 2.405554 0.368975
116.014 141.781 110.655 0.01284 0.00011 0.00655 0.00908 0.01966 0.06425 0.584 0.0349 0.04825 0.04465 0.1047 0.01767 19.649 1 0.417356 0.823484 -3.747787 0.234513 2.33218 0.410335
120.552 131.162 113.787 0.00968 0.00008 0.00463 0.0075 0.01388 0.04701 0.456 0.02328 0.03526 0.03243 0.06985 0.01222 21.378 1 0.415564 0.825069 -4.242867 0.299111 2.18756 0.357775
120.267 137.244 114.82 0.00333 0.00003 0.00155 0.00202 0.00466 0.01608 0.14 0.00779 0.00937 0.01351 0.02337 0.00607 24.886 1 0.59604 0.764112 -5.634322 0.257682 1.854785 0.211756
107.332 113.84 104.315 0.0029 0.00003 0.00144 0.00182 0.00431 0.01567 0.134 0.00829 0.00946 0.01256 0.02487 0.00344 26.892 1 0.63742 0.763262 -6.167603 0.183721 2.064693 0.163755
95.73 132.068 91.754 0.00551 0.00006 0.00293 0.00332 0.0088 0.02093 0.191 0.01073 0.01277 0.01717 0.03218 0.0107 21.812 1 0.615551 0.773587 -5.498678 0.327769 2.322511 0.231571
95.056 120.103 91.226 0.00532 0.00006 0.00268 0.00332 0.00803 0.02838 0.255 0.01441 0.01725 0.02444 0.04324 0.01022 21.862 1 0.547037 0.798463 -5.011879 0.325996 2.432792 0.271362
88.333 112.24 84.072 0.00505 0.00006 0.00254 0.0033 0.00763 0.02143 0.197 0.01079 0.01342 0.01892 0.03237 0.01166 21.118 1 0.611137 0.776156 -5.24977 0.391002 2.407313 0.24974
91.904 115.871 86.292 0.0054 0.00006 0.00281 0.00336 0.00844 0.02752 0.249 0.01424 0.01641 0.02214 0.04272 0.01141 21.414 1 0.58339 0.79252 -4.960234 0.363566 2.642476 0.275931
136.926 159.866 131.276 0.00293 0.00002 0.00118 0.00153 0.00355 0.01259 0.112 0.00656 0.00717 0.0114 0.01968 0.00581 25.703 1 0.4606 0.646846 -6.547148 0.152813 2.041277 0.138512
139.173 179.139 76.556 0.0039 0.00003 0.00165 0.00208 0.00496 0.01642 0.154 0.00728 0.00932 0.01797 0.02184 0.01041 24.889 1 0.430166 0.665833 -5.660217 0.254989 2.519422 0.199889
152.845 163.305 75.836 0.00294 0.00002 0.00121 0.00149 0.00364 0.01828 0.158 0.01064 0.00972 0.01246 0.03191 0.00609 24.922 1 0.474791 0.654027 -6.105098 0.203653 2.125618 0.1701
142.167 217.455 83.159 0.00369 0.00003 0.00157 0.00203 0.00471 0.01503 0.126 0.00772 0.00888 0.01359 0.02316 0.00839 25.175 1 0.565924 0.658245 -5.340115 0.210185 2.205546 0.234589
144.188 349.259 82.764 0.00544 0.00004 0.00211 0.00292 0.00632 0.02047 0.192 0.00969 0.012 0.02074 0.02908 0.01859 22.333 1 0.56738 0.644692 -5.44004 0.239764 2.264501 0.218164
168.778 232.181 75.603 0.00718 0.00004 0.00284 0.00387 0.00853 0.03327 0.348 0.01441 0.01893 0.0343 0.04322 0.02919 20.376 1 0.631099 0.605417 -2.93107 0.434326 3.007463 0.430788
153.046 175.829 68.623 0.00742 0.00005 0.00364 0.00432 0.01092 0.05517 0.542 0.02471 0.03572 0.05767 0.07413 0.0316 17.28 1 0.665318 0.719467 -3.949079 0.35787 3.10901 0.377429
156.405 189.398 142.822 0.00768 0.00005 0.00372 0.00399 0.01116 0.03995 0.348 0.01721 0.02374 0.0431 0.05164 0.03365 17.153 1 0.649554 0.68608 -4.554466 0.340176 2.856676 0.322111
153.848 165.738 65.782 0.0084 0.00005 0.00428 0.0045 0.01285 0.0381 0.328 0.01667 0.02383 0.04055 0.05 0.03871 17.536 1 0.660125 0.704087 -4.095442 0.262564 2.73971 0.365391
153.88 172.86 78.128 0.0048 0.00003 0.00232 0.00267 0.00696 0.04137 0.37 0.02021 0.02591 0.04525 0.06062 0.01849 19.493 1 0.629017 0.698951 -5.18696 0.237622 2.557536 0.259765
167.93 193.221 79.068 0.00442 0.00003 0.0022 0.00247 0.00661 0.04351 0.377 0.02228 0.0254 0.04246 0.06685 0.0128 22.468 1 0.61906 0.679834 -4.330956 0.262384 2.916777 0.285695
173.917 192.735 86.18 0.00476 0.00003 0.00221 0.00258 0.00663 0.04192 0.364 0.02187 0.0247 0.03772 0.06562 0.0184 20.422 1 0.537264 0.686894 -5.248776 0.210279 2.547508 0.253556
163.656 200.841 76.779 0.00742 0.00005 0.0038 0.0039 0.0114 0.01659 0.164 0.00738 0.00948 0.01497 0.02214 0.01778 23.831 1 0.397937 0.732479 -5.557447 0.22089 2.692176 0.215961
104.4 206.002 77.968 0.00633 0.00006 0.00316 0.00375 0.00948 0.03767 0.381 0.01732 0.02245 0.0378 0.05197 0.02887 22.066 1 0.522746 0.737948 -5.571843 0.236853 2.846369 0.219514
171.041 208.313 75.501 0.00455 0.00003 0.0025 0.00234 0.0075 0.01966 0.186 0.00889 0.01169 0.01872 0.02666 0.01095 25.908 1 0.418622 0.720916 -6.18359 0.226278 2.589702 0.147403
146.845 208.701 81.737 0.00496 0.00003 0.0025 0.00275 0.00749 0.01919 0.198 0.00883 0.01144 0.01826 0.0265 0.01328 25.119 1 0.358773 0.726652 -6.27169 0.196102 2.314209 0.162999
155.358 227.383 80.055 0.0031 0.00002 0.00159 0.00176 0.00476 0.01718 0.161 0.00769 0.01012 0.01661 0.02307 0.00677 25.97 1 0.470478 0.676258 -7.120925 0.279789 2.241742 0.108514
162.568 198.346 77.63 0.00502 0.00003 0.0028 0.00253 0.00841 0.01791 0.168 0.00793 0.01057 0.01799 0.0238 0.0117 25.678 1 0.427785 0.723797 -6.635729 0.209866 1.957961 0.135242
197.076 206.896 192.055 0.00289 0.00001 0.00166 0.00168 0.00498 0.01098 0.097 0.00563 0.0068 0.00802 0.01689 0.00339 26.775 0 0.422229 0.741367 -7.3483 0.177551 1.743867 0.085569
199.228 209.512 192.091 0.00241 0.00001 0.00134 0.00138 0.00402 0.01015 0.089 0.00504 0.00641 0.00762 0.01513 0.00167 30.94 0 0.432439 0.742055 -7.682587 0.173319 2.103106 0.068501
198.383 215.203 193.104 0.00212 0.00001 0.00113 0.00135 0.00339 0.01263 0.111 0.0064 0.00825 0.00951 0.01919 0.00119 30.775 0 0.465946 0.738703 -7.067931 0.175181 1.512275 0.09632
202.266 211.604 197.079 0.0018 0.000009 0.00093 0.00107 0.00278 0.00954 0.085 0.00469 0.00606 0.00719 0.01407 0.00072 32.684 0 0.368535 0.742133 -7.695734 0.17854 1.544609 0.056141
203.184 211.526 196.16 0.00178 0.000009 0.00094 0.00106 0.00283 0.00958 0.085 0.00468 0.0061 0.00726 0.01403 0.00065 33.047 0 0.340068 0.741899 -7.964984 0.163519 1.423287 0.044539
201.464 210.565 195.708 0.00198 0.00001 0.00105 0.00115 0.00314 0.01194 0.107 0.00586 0.0076 0.00957 0.01758 0.00135 31.732 0 0.344252 0.742737 -7.777685 0.170183 2.447064 0.05761
177.876 192.921 168.013 0.00411 0.00002 0.00233 0.00241 0.007 0.02126 0.189 0.01154 0.01347 0.01612 0.03463 0.00586 23.216 1 0.360148 0.778834 -6.149653 0.218037 2.477082 0.165827
176.17 185.604 163.564 0.00369 0.00002 0.00205 0.00218 0.00616 0.01851 0.168 0.00938 0.0116 0.01491 0.02814 0.0034 24.951 1 0.341435 0.783626 -6.006414 0.196371 2.536527 0.173218
180.198 201.249 175.456 0.00284 0.00002 0.00153 0.00166 0.00459 0.01444 0.131 0.00726 0.00885 0.0119 0.02177 0.00231 26.738 1 0.403884 0.766209 -6.452058 0.212294 2.269398 0.141929
187.733 202.324 173.015 0.00316 0.00002 0.00168 0.00182 0.00504 0.01663 0.151 0.00829 0.01003 0.01366 0.02488 0.00265 26.31 1 0.396793 0.758324 -6.006647 0.266892 2.382544 0.160691
186.163 197.724 177.584 0.00298 0.00002 0.00165 0.00175 0.00496 0.01495 0.135 0.00774 0.00941 0.01233 0.02321 0.00231 26.822 1 0.32648 0.765623 -6.647379 0.201095 2.374073 0.130554
184.055 196.537 166.977 0.00258 0.00001 0.00134 0.00147 0.00403 0.01463 0.132 0.00742 0.00901 0.01234 0.02226 0.00257 26.453 1 0.306443 0.759203 -7.044105 0.063412 2.361532 0.11573
237.226 247.326 225.227 0.00298 0.00001 0.00169 0.00182 0.00507 0.01752 0.164 0.01035 0.01024 0.01133 0.03104 0.0074 22.736 0 0.305062 0.654172 -7.31055 0.098648 2.416838 0.095032
241.404 248.834 232.483 0.00281 0.00001 0.00157 0.00173 0.0047 0.0176 0.154 0.01006 0.01038 0.01251 0.03017 0.00675 23.145 0 0.457702 0.634267 -6.793547 0.158266 2.256699 0.117399
243.439 250.912 232.435 0.0021 0.000009 0.00109 0.00137 0.00327 0.01419 0.126 0.00777 0.00898 0.01033 0.0233 0.00454 25.368 0 0.438296 0.635285 -7.057869 0.091608 2.330716 0.09147
242.852 255.034 227.911 0.00225 0.000009 0.00117 0.00139 0.0035 0.01494 0.134 0.00847 0.00879 0.01014 0.02542 0.00476 25.032 0 0.431285 0.638928 -6.99582 0.102083 2.3658 0.102706
245.51 262.09 231.848 0.00235 0.00001 0.00127 0.00148 0.0038 0.01608 0.141 0.00906 0.00977 0.01149 0.02719 0.00476 24.602 0 0.467489 0.631653 -7.156076 0.127642 2.392122 0.097336
252.455 261.487 182.786 0.00185 0.000007 0.00092 0.00113 0.00276 0.01152 0.103 0.00614 0.0073 0.0086 0.01841 0.00432 26.805 0 0.610367 0.635204 -7.31951 0.200873 2.028612 0.086398
122.188 128.611 115.765 0.00524 0.00004 0.00169 0.00203 0.00507 0.01613 0.143 0.00855 0.00776 0.01433 0.02566 0.00839 23.162 0 0.579597 0.733659 -6.439398 0.266392 2.079922 0.133867
122.964 130.049 114.676 0.00428 0.00003 0.00124 0.00155 0.00373 0.01681 0.154 0.0093 0.00802 0.014 0.02789 0.00462 24.971 0 0.538688 0.754073 -6.482096 0.264967 2.054419 0.128872
124.445 135.069 117.495 0.00431 0.00003 0.00141 0.00167 0.00422 0.02184 0.197 0.01241 0.01024 0.01685 0.03724 0.00479 25.135 0 0.553134 0.775933 -6.650471 0.254498 1.840198 0.103561
126.344 134.231 112.773 0.00448 0.00004 0.00131 0.00169 0.00393 0.02033 0.185 0.01143 0.00959 0.01614 0.03429 0.00474 25.03 0 0.507504 0.760361 -6.689151 0.291954 2.431854 0.105993
128.001 138.052 122.08 0.00436 0.00003 0.00137 0.00166 0.00411 0.02297 0.21 0.01323 0.01072 0.01677 0.03969 0.00481 24.692 0 0.459766 0.766204 -7.072419 0.220434 1.972297 0.119308
129.336 139.867 118.604 0.0049 0.00004 0.00165 0.00183 0.00495 0.02498 0.228 0.01396 0.01219 0.01947 0.04188 0.00484 25.429 0 0.420383 0.785714 -6.836811 0.269866 2.223719 0.147491
108.807 134.656 102.874 0.00761 0.00007 0.00349 0.00486 0.01046 0.02719 0.255 0.01483 0.01609 0.02067 0.0445 0.01036 21.028 1 0.536009 0.819032 -4.649573 0.205558 1.986899 0.3167
109.86 126.358 104.437 0.00874 0.00008 0.00398 0.00539 0.01193 0.03209 0.307 0.01789 0.01992 0.02454 0.05368 0.0118 20.767 1 0.558586 0.811843 -4.333543 0.221727 2.014606 0.344834
110.417 131.067 103.37 0.00784 0.00007 0.00352 0.00514 0.01056 0.03715 0.334 0.02032 0.02302 0.02802 0.06097 0.00969 21.422 1 0.541781 0.821364 -4.438453 0.238298 1.92294 0.335041
117.274 129.916 110.402 0.00752 0.00006 0.00299 0.00469 0.00898 0.02293 0.221 0.01189 0.01459 0.01948 0.03568 0.00681 22.817 1 0.530529 0.817756 -4.60826 0.290024 2.021591 0.314464
116.879 131.897 108.153 0.00788 0.00007 0.00334 0.00493 0.01003 0.02645 0.265 0.01394 0.01625 0.02137 0.04183 0.00786 22.603 1 0.540049 0.813432 -4.476755 0.262633 1.827012 0.326197
114.847 271.314 104.68 0.00867 0.00008 0.00373 0.0052 0.0112 0.03225 0.35 0.01805 0.01974 0.02519 0.05414 0.01143 21.66 1 0.547975 0.817396 -4.609161 0.221711 1.831691 0.316395
209.144 237.494 109.379 0.00282 0.00001 0.00147 0.00152 0.00442 0.01861 0.17 0.00975 0.01258 0.01382 0.02925 0.00871 25.554 0 0.341788 0.678874 -7.040508 0.066994 2.460791 0.101516
223.365 238.987 98.664 0.00264 0.00001 0.00154 0.00151 0.00461 0.01906 0.165 0.01013 0.01296 0.0134 0.03039 0.00301 26.138 0 0.447979 0.686264 -7.293801 0.086372 2.32156 0.098555
222.236 231.345 205.495 0.00266 0.00001 0.00152 0.00144 0.00457 0.01643 0.145 0.00867 0.01108 0.012 0.02602 0.0034 25.856 0 0.364867 0.694399 -6.966321 0.095882 2.278687 0.103224
228.832 234.619 223.634 0.00296 0.00001 0.00175 0.00155 0.00526 0.01644 0.145 0.00882 0.01075 0.01179 0.02647 0.00351 25.964 0 0.25657 0.683296 -7.24562 0.018689 2.498224 0.093534
229.401 252.221 221.156 0.00205 0.000009 0.00114 0.00113 0.00342 0.01457 0.129 0.00769 0.00957 0.01016 0.02308 0.003 26.415 0 0.27685 0.673636 -7.496264 0.056844 2.003032 0.073581
228.969 239.541 113.201 0.00238 0.00001 0.00136 0.0014 0.00408 0.01745 0.154 0.00942 0.0116 0.01234 0.02827 0.0042 24.547 0 0.305429 0.681811 -7.314237 0.006274 2.118596 0.091546
140.341 159.774 67.021 0.00817 0.00006 0.0043 0.0044 0.01289 0.03198 0.313 0.0183 0.0181 0.02428 0.0549 0.02183 19.56 1 0.460139 0.720908 -5.409423 0.22685 2.359973 0.226156
136.969 166.607 66.004 0.00923 0.00007 0.00507 0.00463 0.0152 0.03111 0.308 0.01638 0.01759 0.02603 0.04914 0.02659 19.979 1 0.498133 0.729067 -5.324574 0.20566 2.291558 0.226247
143.533 162.215 65.809 0.01101 0.00008 0.00647 0.00467 0.01941 0.05384 0.478 0.03152 0.02422 0.03392 0.09455 0.04882 20.338 1 0.513237 0.731444 -5.86975 0.151814 2.118496 0.18558
148.09 162.824 67.343 0.00762 0.00005 0.00467 0.00354 0.014 0.05428 0.497 0.03357 0.02494 0.03635 0.1007 0.02431 21.718 1 0.487407 0.727313 -6.261141 0.120956 2.137075 0.141958
142.729 162.408 65.476 0.00831 0.00006 0.00469 0.00419 0.01407 0.03485 0.365 0.01868 0.01906 0.02949 0.05605 0.02599 20.264 1 0.489345 0.730387 -5.720868 0.15883 2.277927 0.180828
136.358 176.595 65.75 0.00971 0.00007 0.00534 0.00478 0.01601 0.04978 0.483 0.02749 0.02466 0.03736 0.08247 0.03361 18.57 1 0.543299 0.733232 -5.207985 0.224852 2.642276 0.242981
120.08 139.71 111.208 0.00405 0.00003 0.0018 0.0022 0.0054 0.01706 0.152 0.00974 0.00925 0.01345 0.02921 0.00442 25.742 1 0.495954 0.762959 -5.79182 0.329066 2.205024 0.18818
112.014 588.518 107.024 0.00533 0.00005 0.00268 0.00329 0.00805 0.02448 0.226 0.01373 0.01375 0.01956 0.0412 0.00623 24.178 1 0.509127 0.789532 -5.389129 0.306636 1.928708 0.225461
110.793 128.101 107.316 0.00494 0.00004 0.0026 0.00283 0.0078 0.02442 0.216 0.01432 0.01325 0.01831 0.04295 0.00479 25.438 1 0.437031 0.815908 -5.31336 0.201861 2.225815 0.244512
110.707 122.611 105.007 0.00516 0.00005 0.00277 0.00289 0.00831 0.02215 0.206 0.01284 0.01219 0.01715 0.03851 0.00472 25.197 1 0.463514 0.807217 -5.477592 0.315074 1.862092 0.228624
112.876 148.826 106.981 0.005 0.00004 0.0027 0.00289 0.0081 0.03999 0.35 0.02413 0.02231 0.02704 0.07238 0.00905 23.37 1 0.489538 0.789977 -5.775966 0.341169 2.007923 0.193918
110.568 125.394 106.821 0.00462 0.00004 0.00226 0.0028 0.00677 0.02199 0.197 0.01284 0.01199 0.01636 0.03852 0.0042 25.82 1 0.429484 0.81634 -5.391029 0.250572 1.777901 0.232744
95.385 102.145 90.264 0.00608 0.00006 0.00331 0.00332 0.00994 0.03202 0.263 0.01803 0.01886 0.02455 0.05408 0.01062 21.875 1 0.644954 0.779612 -5.115212 0.249494 2.017753 0.260015
100.77 115.697 85.545 0.01038 0.0001 0.00622 0.00576 0.01865 0.03121 0.361 0.01773 0.01783 0.02139 0.0532 0.0222 19.2 1 0.594387 0.790117 -4.913885 0.265699 2.398422 0.277948
96.106 108.664 84.51 0.00694 0.00007 0.00389 0.00415 0.01168 0.04024 0.364 0.02266 0.02451 0.02876 0.06799 0.01823 19.055 1 0.544805 0.770466 -4.441519 0.155097 2.645959 0.327978
95.605 107.715 87.549 0.00702 0.00007 0.00428 0.00371 0.01283 0.03156 0.296 0.01792 0.01841 0.0219 0.05377 0.01825 19.659 1 0.576084 0.778747 -5.132032 0.210458 2.232576 0.260633
100.96 110.019 95.628 0.00606 0.00006 0.00351 0.00348 0.01053 0.02427 0.216 0.01371 0.01421 0.01751 0.04114 0.01237 20.536 1 0.55461 0.787896 -5.022288 0.146948 2.428306 0.264666
98.804 102.305 87.804 0.00432 0.00004 0.00247 0.00258 0.00742 0.02223 0.202 0.01277 0.01343 0.01552 0.03831 0.00882 22.244 1 0.576644 0.772416 -6.025367 0.078202 2.053601 0.177275
176.858 205.56 75.344 0.00747 0.00004 0.00418 0.0042 0.01254 0.04795 0.435 0.02679 0.03022 0.0351 0.08037 0.0547 13.893 1 0.556494 0.729586 -5.288912 0.343073 3.099301 0.242119
180.978 200.125 155.495 0.00406 0.00002 0.0022 0.00244 0.00659 0.03852 0.331 0.02107 0.02493 0.02877 0.06321 0.02782 16.176 1 0.583574 0.727747 -5.657899 0.315903 3.098256 0.200423
178.222 202.45 141.047 0.00321 0.00002 0.00163 0.00194 0.00488 0.03759 0.327 0.02073 0.02415 0.02784 0.06219 0.03151 15.924 1 0.598714 0.712199 -6.366916 0.335753 2.654271 0.144614
176.281 227.381 125.61 0.0052 0.00003 0.00287 0.00312 0.00862 0.06511 0.58 0.03671 0.04159 0.04683 0.11012 0.04824 13.922 1 0.602874 0.740837 -5.515071 0.299549 3.13655 0.220968
173.898 211.35 74.677 0.00448 0.00003 0.00237 0.00254 0.0071 0.06727 0.65 0.03788 0.04254 0.04802 0.11363 0.04214 14.739 1 0.599371 0.743937 -5.783272 0.299793 3.007096 0.194052
179.711 225.93 144.878 0.00709 0.00004 0.00391 0.00419 0.01172 0.04313 0.442 0.02297 0.02768 0.03455 0.06892 0.07223 11.866 1 0.590951 0.745526 -4.379411 0.375531 3.671155 0.332086
166.605 206.008 78.032 0.00742 0.00004 0.00387 0.00453 0.01161 0.0664 0.634 0.0365 0.04282 0.05114 0.10949 0.08725 11.744 1 0.65341 0.733165 -4.508984 0.389232 3.317586 0.301952
151.955 163.335 147.226 0.00419 0.00003 0.00224 0.00227 0.00672 0.07959 0.772 0.04421 0.04962 0.0569 0.13262 0.01658 19.664 1 0.501037 0.71436 -6.411497 0.207156 2.344876 0.13412
148.272 164.989 142.299 0.00459 0.00003 0.0025 0.00256 0.0075 0.0419 0.383 0.02383 0.02521 0.03051 0.0715 0.01914 18.78 1 0.454444 0.734504 -5.952058 0.08784 2.344336 0.186489
152.125 161.469 76.596 0.00382 0.00003 0.00191 0.00226 0.00574 0.05925 0.637 0.03341 0.03794 0.04398 0.10024 0.01211 20.969 1 0.447456 0.69779 -6.152551 0.17352 2.080121 0.160809
157.821 172.975 68.401 0.00358 0.00002 0.00196 0.00196 0.00587 0.03716 0.307 0.02062 0.02321 0.02764 0.06185 0.0085 22.219 1 0.50238 0.71217 -6.251425 0.188056 2.143851 0.160812
157.447 163.267 149.605 0.00369 0.00002 0.00201 0.00197 0.00602 0.03272 0.283 0.01813 0.01909 0.02571 0.05439 0.01018 21.693 1 0.447285 0.705658 -6.247076 0.180528 2.344348 0.164916
159.116 168.913 144.811 0.00342 0.00002 0.00178 0.00184 0.00535 0.03381 0.307 0.01806 0.02024 0.02809 0.05417 0.00852 22.663 1 0.366329 0.693429 -6.41744 0.194627 2.473239 0.151709
125.036 143.946 116.187 0.0128 0.0001 0.00743 0.00623 0.02228 0.03886 0.342 0.02135 0.02174 0.03088 0.06406 0.08151 15.338 1 0.629574 0.714485 -4.020042 0.265315 2.671825 0.340623
125.791 140.557 96.206 0.01378 0.00011 0.00826 0.00655 0.02478 0.04689 0.422 0.02542 0.0263 0.03908 0.07625 0.10323 15.433 1 0.57101 0.690892 -5.159169 0.202146 2.441612 0.260375
126.512 141.756 99.77 0.01936 0.00015 0.01159 0.0099 0.03476 0.06734 0.659 0.03611 0.03963 0.05783 0.10833 0.16744 12.435 1 0.638545 0.674953 -3.760348 0.242861 2.634633 0.378483
125.641 141.068 116.346 0.03316 0.00026 0.02144 0.01522 0.06433 0.09178 0.891 0.05358 0.04791 0.06196 0.16074 0.31482 8.867 1 0.671299 0.656846 -3.700544 0.260481 2.991063 0.370961
128.451 150.449 75.632 0.01551 0.00012 0.00905 0.00909 0.02716 0.0617 0.584 0.03223 0.03672 0.05174 0.09669 0.11843 15.06 1 0.639808 0.643327 -4.20273 0.310163 2.638279 0.356881
139.224 586.567 66.157 0.03011 0.00022 0.01854 0.01628 0.05563 0.09419 0.93 0.05551 0.05005 0.06023 0.16654 0.2593 10.489 1 0.596362 0.641418 -3.269487 0.270641 2.690917 0.444774
150.258 154.609 75.349 0.00248 0.00002 0.00105 0.00136 0.00315 0.01131 0.107 0.00522 0.00659 0.01009 0.01567 0.00495 26.759 1 0.296888 0.722356 -6.878393 0.089267 2.004055 0.113942
154.003 160.267 128.621 0.00183 0.00001 0.00076 0.001 0.00229 0.0103 0.094 0.00469 0.00582 0.00871 0.01406 0.00243 28.409 1 0.263654 0.691483 -7.111576 0.14478 2.065477 0.093193
149.689 160.368 133.608 0.00257 0.00002 0.00116 0.00134 0.00349 0.01346 0.126 0.0066 0.00818 0.01059 0.01979 0.00578 27.421 1 0.365488 0.719974 -6.997403 0.210279 1.994387 0.112878
155.078 163.736 144.148 0.00168 0.00001 0.00068 0.00092 0.00204 0.01064 0.097 0.00522 0.00632 0.00928 0.01567 0.00233 29.746 1 0.334171 0.67793 -6.981201 0.18455 2.129924 0.106802
151.884 157.765 133.751 0.00258 0.00002 0.00115 0.00122 0.00346 0.0145 0.137 0.00633 0.00788 0.01267 0.01898 0.00659 26.833 1 0.393563 0.700246 -6.600023 0.249172 2.499148 0.105306
151.989 157.339 132.857 0.00174 0.00001 0.00075 0.00096 0.00225 0.01024 0.093 0.00455 0.00576 0.00993 0.01364 0.00238 29.928 1 0.311369 0.676066 -6.739151 0.160686 2.296873 0.11513
193.03 208.9 80.297 0.00766 0.00004 0.0045 0.00389 0.01351 0.03044 0.275 0.01771 0.01815 0.02084 0.05312 0.00947 21.934 1 0.497554 0.740539 -5.845099 0.278679 2.608749 0.185668
200.714 223.982 89.686 0.00621 0.00003 0.00371 0.00337 0.01112 0.02286 0.207 0.01192 0.01439 0.01852 0.03576 0.00704 23.239 1 0.436084 0.727863 -5.25832 0.256454 2.550961 0.23252
208.519 220.315 199.02 0.00609 0.00003 0.00368 0.00339 0.01105 0.01761 0.155 0.00952 0.01058 0.01307 0.02855 0.0083 22.407 1 0.338097 0.712466 -6.471427 0.184378 2.502336 0.13639
204.664 221.3 189.621 0.00841 0.00004 0.00502 0.00485 0.01506 0.02378 0.21 0.01277 0.01483 0.01767 0.03831 0.01316 21.305 1 0.498877 0.722085 -4.876336 0.212054 2.376749 0.268144
210.141 232.706 185.258 0.00534 0.00003 0.00321 0.0028 0.00964 0.0168 0.149 0.00861 0.01017 0.01301 0.02583 0.0062 23.671 1 0.441097 0.722254 -5.96304 0.250283 2.489191 0.177807
206.327 226.355 92.02 0.00495 0.00002 0.00302 0.00246 0.00905 0.02105 0.209 0.01107 0.01284 0.01604 0.0332 0.01048 21.864 1 0.331508 0.715121 -6.729713 0.181701 2.938114 0.115515
151.872 492.892 69.085 0.00856 0.00006 0.00404 0.00385 0.01211 0.01843 0.235 0.00796 0.00832 0.01271 0.02389 0.06051 23.693 1 0.407701 0.662668 -4.673241 0.261549 2.702355 0.274407
158.219 442.557 71.948 0.00476 0.00003 0.00214 0.00207 0.00642 0.01458 0.148 0.00606 0.00747 0.01312 0.01818 0.01554 26.356 1 0.450798 0.653823 -6.051233 0.27328 2.640798 0.170106
170.756 450.247 79.032 0.00555 0.00003 0.00244 0.00261 0.00731 0.01725 0.175 0.00757 0.00971 0.01652 0.0227 0.01802 25.69 1 0.486738 0.676023 -4.597834 0.372114 2.975889 0.28278
178.285 442.824 82.063 0.00462 0.00003 0.00157 0.00194 0.00472 0.01279 0.129 0.00617 0.00744 0.01151 0.01851 0.00856 25.02 1 0.470422 0.655239 -4.913137 0.393056 2.816781 0.251972
217.116 233.481 93.978 0.00404 0.00002 0.00127 0.00128 0.00381 0.01299 0.124 0.00679 0.00631 0.01075 0.02038 0.00681 24.581 1 0.462516 0.58271 -5.517173 0.389295 2.925862 0.220657
128.94 479.697 88.251 0.00581 0.00005 0.00241 0.00314 0.00723 0.02008 0.221 0.00849 0.01117 0.01734 0.02548 0.0235 24.743 1 0.487756 0.68413 -6.186128 0.279933 2.68624 0.152428
176.824 215.293 83.961 0.0046 0.00003 0.00209 0.00221 0.00628 0.01169 0.117 0.00534 0.0063 0.01104 0.01603 0.01161 27.166 1 0.400088 0.656182 -4.711007 0.281618 2.655744 0.234809
138.19 203.522 83.34 0.00704 0.00005 0.00406 0.00398 0.01218 0.04479 0.441 0.02587 0.02567 0.0322 0.07761 0.01968 18.305 1 0.538016 0.74148 -5.418787 0.160267 2.090438 0.229892
182.018 197.173 79.187 0.00842 0.00005 0.00506 0.00449 0.01517 0.02503 0.231 0.01372 0.0158 0.01931 0.04115 0.01813 18.784 1 0.589956 0.732903 -5.44514 0.142466 2.174306 0.215558
156.239 195.107 79.82 0.00694 0.00004 0.00403 0.00395 0.01209 0.02343 0.224 0.01289 0.0142 0.0172 0.03867 0.0202 19.196 1 0.618663 0.728421 -5.944191 0.143359 1.929715 0.181988
145.174 198.109 80.637 0.00733 0.00005 0.00414 0.00422 0.01242 0.02362 0.233 0.01235 0.01495 0.01944 0.03706 0.01874 18.857 1 0.637518 0.735546 -5.594275 0.12795 1.765957 0.222716
138.145 197.238 81.114 0.00544 0.00004 0.00294 0.00327 0.00883 0.02791 0.246 0.01484 0.01805 0.02259 0.04451 0.01794 18.178 1 0.623209 0.738245 -5.540351 0.087165 1.821297 0.214075
166.888 198.966 79.512 0.00638 0.00004 0.00368 0.00351 0.01104 0.02857 0.257 0.01547 0.01859 0.02301 0.04641 0.01796 18.33 1 0.585169 0.736964 -5.825257 0.115697 1.996146 0.196535
119.031 127.533 109.216 0.0044 0.00004 0.00214 0.00192 0.00641 0.01033 0.098 0.00538 0.0057 0.00811 0.01614 0.01724 26.842 1 0.457541 0.699787 -6.890021 0.152941 2.328513 0.112856
120.078 126.632 105.667 0.0027 0.00002 0.00116 0.00135 0.00349 0.01022 0.09 0.00476 0.00588 0.00903 0.01428 0.00487 26.369 1 0.491345 0.718839 -5.892061 0.195976 2.108873 0.183572
120.289 128.143 100.209 0.00492 0.00004 0.00269 0.00238 0.00808 0.01412 0.125 0.00703 0.0082 0.01194 0.0211 0.0161 23.949 1 0.46716 0.724045 -6.135296 0.20363 2.539724 0.169923
120.256 125.306 104.773 0.00407 0.00003 0.00224 0.00205 0.00671 0.01516 0.138 0.00721 0.00815 0.0131 0.02164 0.01015 26.017 1 0.468621 0.735136 -6.112667 0.217013 2.527742 0.170633
119.056 125.213 86.795 0.00346 0.00003 0.00169 0.0017 0.00508 0.01201 0.106 0.00633 0.00701 0.00915 0.01898 0.00903 23.389 1 0.470972 0.721308 -5.436135 0.254909 2.51632 0.232209
118.747 123.723 109.836 0.00331 0.00003 0.00168 0.00171 0.00504 0.01043 0.099 0.0049 0.00621 0.00903 0.01471 0.00504 25.619 1 0.482296 0.723096 -6.448134 0.178713 2.034827 0.141422
106.516 112.777 93.105 0.00589 0.00006 0.00291 0.00319 0.00873 0.04932 0.441 0.02683 0.03112 0.03651 0.0805 0.03031 17.06 1 0.637814 0.744064 -5.301321 0.320385 2.375138 0.24308
110.453 127.611 105.554 0.00494 0.00004 0.00244 0.00315 0.00731 0.04128 0.379 0.02229 0.02592 0.03316 0.06688 0.02529 17.707 1 0.653427 0.706687 -5.333619 0.322044 2.631793 0.228319
113.4 133.344 107.816 0.00451 0.00004 0.00219 0.00283 0.00658 0.04879 0.431 0.02385 0.02973 0.0437 0.07154 0.02278 19.013 1 0.6479 0.708144 -4.378916 0.300067 2.445502 0.259451
113.166 130.27 100.673 0.00502 0.00004 0.00257 0.00312 0.00772 0.05279 0.476 0.02896 0.03347 0.04134 0.08689 0.0369 16.747 1 0.625362 0.708617 -4.654894 0.304107 2.672362 0.274387
112.239 126.609 104.095 0.00472 0.00004 0.00238 0.0029 0.00715 0.05643 0.517 0.0307 0.0353 0.04451 0.09211 0.02629 17.366 1 0.640945 0.701404 -5.634576 0.306014 2.419253 0.209191
116.15 131.731 109.815 0.00381 0.00003 0.00181 0.00232 0.00542 0.03026 0.267 0.01514 0.01812 0.0277 0.04543 0.01827 18.801 1 0.624811 0.696049 -5.866357 0.23307 2.445646 0.184985
170.368 268.796 79.543 0.00571 0.00003 0.00232 0.00269 0.00696 0.03273 0.281 0.01713 0.01964 0.02824 0.05139 0.02485 18.54 1 0.677131 0.685057 -4.796845 0.397749 2.963799 0.277227
208.083 253.792 91.802 0.00757 0.00004 0.00428 0.00428 0.01285 0.06725 0.571 0.04016 0.04003 0.04464 0.12047 0.04238 15.648 1 0.606344 0.665945 -5.410336 0.288917 2.665133 0.231723
198.458 219.29 148.691 0.00376 0.00002 0.00182 0.00215 0.00546 0.03527 0.297 0.02055 0.02076 0.0253 0.06165 0.01728 18.702 1 0.606273 0.661735 -5.585259 0.310746 2.465528 0.209863
202.805 231.508 86.232 0.0037 0.00002 0.00189 0.00211 0.00568 0.01997 0.18 0.01117 0.01177 0.01506 0.0335 0.0201 18.687 1 0.536102 0.632631 -5.898673 0.213353 2.470746 0.189032
202.544 241.35 164.168 0.00254 0.00001 0.001 0.00133 0.00301 0.02662 0.228 0.01475 0.01558 0.02006 0.04426 0.01049 20.68 1 0.49748 0.630409 -6.132663 0.220617 2.576563 0.159777
223.361 263.872 87.638 0.00352 0.00002 0.00169 0.00188 0.00506 0.02536 0.225 0.01379 0.01478 0.01909 0.04137 0.01493 20.366 1 0.566849 0.574282 -5.456811 0.345238 2.840556 0.232861
169.774 191.759 151.451 0.01568 0.00009 0.00863 0.00946 0.02589 0.08143 0.821 0.03804 0.05426 0.08808 0.11411 0.0753 12.359 1 0.56161 0.793509 -3.297668 0.414758 3.413649 0.457533
183.52 216.814 161.34 0.01466 0.00008 0.00849 0.00819 0.02546 0.0605 0.618 0.02865 0.04101 0.06359 0.08595 0.06057 14.367 1 0.478024 0.768974 -4.276605 0.355736 3.142364 0.336085
188.62 216.302 165.982 0.01719 0.00009 0.00996 0.01027 0.02987 0.07118 0.722 0.03474 0.0458 0.06824 0.10422 0.08069 12.298 1 0.55287 0.764036 -3.377325 0.335357 3.274865 0.418646
202.632 565.74 177.258 0.01627 0.00008 0.00919 0.00963 0.02756 0.0717 0.833 0.03515 0.04265 0.0646 0.10546 0.07889 14.989 1 0.427627 0.775708 -4.892495 0.262281 2.910213 0.270173
186.695 211.961 149.442 0.01872 0.0001 0.01075 0.01154 0.03225 0.0583 0.784 0.02699 0.03714 0.06259 0.08096 0.10952 12.529 1 0.507826 0.762726 -4.484303 0.340256 2.958815 0.301487
192.818 224.429 168.793 0.03107 0.00016 0.018 0.01958 0.05401 0.11908 1.302 0.05647 0.0794 0.13778 0.16942 0.21713 8.441 1 0.625866 0.76832 -2.434031 0.450493 3.079221 0.527367
198.116 233.099 174.478 0.02714 0.00014 0.01568 0.01699 0.04705 0.08684 1.018 0.04284 0.05556 0.08318 0.12851 0.16265 9.449 1 0.584164 0.754449 -2.839756 0.356224 3.184027 0.454721
121.345 139.644 98.25 0.00684 0.00006 0.00388 0.00332 0.01164 0.02534 0.241 0.0134 0.01399 0.02056 0.04019 0.04179 21.52 1 0.566867 0.670475 -4.865194 0.246404 2.01353 0.168581
119.1 128.442 88.833 0.00692 0.00006 0.00393 0.003 0.01179 0.02682 0.236 0.01484 0.01405 0.02018 0.04451 0.04611 21.824 1 0.65168 0.659333 -4.239028 0.175691 2.45113 0.247455
117.87 127.349 95.654 0.00647 0.00005 0.00356 0.003 0.01067 0.03087 0.276 0.01659 0.01804 0.02402 0.04977 0.02631 22.431 1 0.6283 0.652025 -3.583722 0.207914 2.439597 0.206256
122.336 142.369 94.794 0.00727 0.00006 0.00415 0.00339 0.01246 0.02293 0.223 0.01205 0.01289 0.01771 0.03615 0.03191 22.953 1 0.611679 0.623731 -5.4351 0.230532 2.699645 0.220546
117.963 134.209 100.757 0.01813 0.00015 0.01117 0.00718 0.03351 0.04912 0.438 0.0261 0.02161 0.02916 0.0783 0.10748 19.075 1 0.630547 0.646786 -3.444478 0.303214 2.964568 0.261305
126.144 154.284 97.543 0.00975 0.00008 0.00593 0.00454 0.01778 0.02852 0.266 0.015 0.01581 0.02157 0.04499 0.03828 21.534 1 0.635015 0.627337 -5.070096 0.280091 2.8923 0.249703
127.93 138.752 112.173 0.00605 0.00005 0.00321 0.00318 0.00962 0.03235 0.339 0.0136 0.0165 0.03105 0.04079 0.02663 19.651 1 0.654945 0.675865 -5.498456 0.234196 2.103014 0.216638
114.238 124.393 77.022 0.00581 0.00005 0.00299 0.00316 0.00896 0.04009 0.406 0.01579 0.01994 0.04114 0.04736 0.02073 20.437 1 0.653139 0.694571 -5.185987 0.259229 2.151121 0.244948
115.322 135.738 107.802 0.00619 0.00005 0.00352 0.00329 0.01057 0.03273 0.325 0.01644 0.01722 0.02931 0.04933 0.0281 19.388 1 0.577802 0.684373 -5.283009 0.226528 2.442906 0.238281
114.554 126.778 91.121 0.00651 0.00006 0.00366 0.0034 0.01097 0.03658 0.369 0.01864 0.0194 0.03091 0.05592 0.02707 18.954 1 0.685151 0.719576 -5.529833 0.24275 2.408689 0.22052
112.15 131.669 97.527 0.00519 0.00005 0.00291 0.00284 0.00873 0.01756 0.155 0.00967 0.01033 0.01363 0.02902 0.01435 21.219 1 0.557045 0.673086 -5.617124 0.184896 1.871871 0.212386
102.273 142.83 85.902 0.00907 0.00009 0.00493 0.00461 0.0148 0.02814 0.272 0.01579 0.01553 0.02073 0.04736 0.03882 18.447 1 0.671378 0.674562 -2.929379 0.396746 2.560422 0.367233
236.2 244.663 102.137 0.00277 0.00001 0.00154 0.00153 0.00462 0.02448 0.217 0.0141 0.01426 0.01621 0.04231 0.0062 24.078 0 0.469928 0.628232 -6.816086 0.17227 2.235197 0.119652
237.323 243.709 229.256 0.00303 0.00001 0.00173 0.00159 0.00519 0.01242 0.116 0.00696 0.00747 0.00882 0.02089 0.00533 24.679 0 0.384868 0.62671 -7.018057 0.176316 1.852402 0.091604
260.105 264.919 237.303 0.00339 0.00001 0.00205 0.00186 0.00616 0.0203 0.197 0.01186 0.0123 0.01367 0.03557 0.0091 21.083 0 0.440988 0.628058 -7.517934 0.160414 1.881767 0.075587
197.569 217.627 90.794 0.00803 0.00004 0.0049 0.00448 0.0147 0.02177 0.189 0.01279 0.01272 0.01439 0.03836 0.01337 19.269 0 0.372222 0.725216 -5.736781 0.164529 2.88245 0.202879
240.301 245.135 219.783 0.00517 0.00002 0.00316 0.00283 0.00949 0.02018 0.212 0.01176 0.01191 0.01344 0.03529 0.00965 21.02 0 0.371837 0.646167 -7.169701 0.073298 2.266432 0.100881
244.99 272.21 239.17 0.00451 0.00002 0.00279 0.00237 0.00837 0.01897 0.181 0.01084 0.01121 0.01255 0.03253 0.01049 21.528 0 0.522812 0.646818 -7.3045 0.171088 2.095237 0.09622
112.547 133.374 105.715 0.00355 0.00003 0.00166 0.0019 0.00499 0.01358 0.129 0.00664 0.00786 0.0114 0.01992 0.00435 26.436 0 0.413295 0.7567 -6.323531 0.218885 2.193412 0.160376
110.739 113.597 100.139 0.00356 0.00003 0.0017 0.002 0.0051 0.01484 0.133 0.00754 0.0095 0.01285 0.02261 0.0043 26.55 0 0.36909 0.776158 -6.085567 0.192375 1.889002 0.174152
113.715 116.443 96.913 0.00349 0.00003 0.00171 0.00203 0.00514 0.01472 0.133 0.00748 0.00905 0.01148 0.02245 0.00478 26.547 0 0.380253 0.7667 -5.943501 0.19215 1.852542 0.179677
117.004 144.466 99.923 0.00353 0.00003 0.00176 0.00218 0.00528 0.01657 0.145 0.00881 0.01062 0.01318 0.02643 0.0059 25.445 0 0.387482 0.756482 -6.012559 0.229298 1.872946 0.163118
115.38 123.109 108.634 0.00332 0.00003 0.0016 0.00199 0.0048 0.01503 0.137 0.00812 0.00933 0.01133 0.02436 0.00401 26.005 0 0.405991 0.761255 -5.966779 0.197938 1.974857 0.184067
116.388 129.038 108.97 0.00346 0.00003 0.00169 0.00213 0.00507 0.01725 0.155 0.00874 0.01021 0.01331 0.02623 0.00415 26.143 0 0.361232 0.763242 -6.016891 0.109256 2.004719 0.174429
151.737 190.204 129.859 0.00314 0.00002 0.00135 0.00162 0.00406 0.01469 0.132 0.00728 0.00886 0.0123 0.02184 0.0057 24.151 1 0.39661 0.745957 -6.486822 0.197919 2.449763 0.132703
148.79 158.359 138.99 0.00309 0.00002 0.00152 0.00186 0.00456 0.01574 0.142 0.00839 0.00956 0.01309 0.02518 0.00488 24.412 1 0.402591 0.762508 -6.311987 0.182459 2.251553 0.160306
148.143 155.982 135.041 0.00392 0.00003 0.00204 0.00231 0.00612 0.0145 0.131 0.00725 0.00876 0.01263 0.02175 0.0054 23.683 1 0.398499 0.778349 -5.711205 0.240875 2.845109 0.19273
150.44 163.441 144.736 0.00396 0.00003 0.00206 0.00233 0.00619 0.02551 0.237 0.01321 0.01574 0.02148 0.03964 0.00611 23.133 1 0.352396 0.75932 -6.261446 0.183218 2.264226 0.144105
148.462 161.078 141.998 0.00397 0.00003 0.00202 0.00235 0.00605 0.01831 0.163 0.0095 0.01103 0.01559 0.02849 0.00639 22.866 1 0.408598 0.768845 -5.704053 0.216204 2.679185 0.19771
149.818 163.417 144.786 0.00336 0.00002 0.00174 0.00198 0.00521 0.02145 0.198 0.01155 0.01341 0.01666 0.03464 0.00595 23.008 1 0.329577 0.75718 -6.27717 0.109397 2.209021 0.156368
117.226 123.925 106.656 0.00417 0.00004 0.00186 0.0027 0.00558 0.01909 0.171 0.00864 0.01223 0.01949 0.02592 0.00955 23.079 0 0.603515 0.669565 -5.61907 0.191576 2.027228 0.215724
116.848 217.552 99.503 0.00531 0.00005 0.0026 0.00346 0.0078 0.01795 0.163 0.0081 0.01144 0.01756 0.02429 0.01179 22.085 0 0.663842 0.656516 -5.198864 0.206768 2.120412 0.252404
116.286 177.291 96.983 0.00314 0.00003 0.00134 0.00192 0.00403 0.01564 0.136 0.00667 0.0099 0.01691 0.02001 0.00737 24.199 0 0.598515 0.654331 -5.592584 0.133917 2.058658 0.214346
116.556 592.03 86.228 0.00496 0.00004 0.00254 0.00263 0.00762 0.0166 0.154 0.0082 0.00972 0.01491 0.0246 0.01397 23.958 0 0.566424 0.667654 -6.431119 0.15331 2.161936 0.120605
116.342 581.289 94.246 0.00267 0.00002 0.00115 0.00148 0.00345 0.013 0.117 0.00631 0.00789 0.01144 0.01892 0.0068 25.023 0 0.528485 0.663884 -6.359018 0.116636 2.152083 0.138868
114.563 119.167 86.647 0.00327 0.00003 0.00146 0.00184 0.00439 0.01185 0.106 0.00557 0.00721 0.01095 0.01672 0.00703 24.775 0 0.555303 0.659132 -6.710219 0.149694 1.91399 0.121777
201.774 262.707 78.228 0.00694 0.00003 0.00412 0.00396 0.01235 0.02574 0.255 0.01454 0.01582 0.01758 0.04363 0.04441 19.368 0 0.508479 0.683761 -6.934474 0.15989 2.316346 0.112838
174.188 230.978 94.261 0.00459 0.00003 0.00263 0.00259 0.0079 0.04087 0.405 0.02336 0.02498 0.02745 0.07008 0.02764 19.517 0 0.448439 0.657899 -6.538586 0.121952 2.657476 0.13305
209.516 253.017 89.488 0.00564 0.00003 0.00331 0.00292 0.00994 0.02751 0.263 0.01604 0.01657 0.01879 0.04812 0.0181 19.147 0 0.431674 0.683244 -6.195325 0.129303 2.784312 0.168895
174.688 240.005 74.287 0.0136 0.00008 0.00624 0.00564 0.01873 0.02308 0.256 0.01268 0.01365 0.01667 0.03804 0.10715 17.883 0 0.407567 0.655683 -6.787197 0.158453 2.679772 0.131728
198.764 396.961 74.904 0.0074 0.00004 0.0037 0.0039 0.01109 0.02296 0.241 0.01265 0.01321 0.01588 0.03794 0.07223 19.02 0 0.451221 0.643956 -6.744577 0.207454 2.138608 0.123306
214.289 260.277 77.973 0.00567 0.00003 0.00295 0.00317 0.00885 0.01884 0.19 0.01026 0.01161 0.01373 0.03078 0.04398 21.209 0 0.462803 0.664357 -5.724056 0.190667 2.555477 0.148569




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time35 seconds
R Server'George Udny Yule' @ yule.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 35 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=230059&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]35 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=230059&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=230059&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 Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time35 seconds
R Server'George Udny Yule' @ yule.wessa.net







Multiple Linear Regression - Estimated Regression Equation
HNR[t] = + 44.5416 -0.00182707`MDVP:Fo(Hz)`[t] + 0.00247759`MDVP:Fhi(Hz)`[t] + 0.0021025`MDVP:Flo(Hz)`[t] -607.496`MDVP:Jitter(%)`[t] + 57886.9`MDVP:Jitter(Abs)`[t] -27096`MDVP:RAP`[t] + 25.4063`MDVP:PPQ`[t] + 9119.58`Jitter:DDP`[t] + 308.934`MDVP:Shimmer`[t] -10.7544`MDVP:Shimmer(dB)`[t] + 27659.8`Shimmer:APQ3`[t] -193.034`Shimmer:APQ5`[t] + 58.9856`MDVP:APQ`[t] -9349`Shimmer:DDA`[t] -16.4308NHR[t] -0.440425status[t] -17.3235RPDE[t] -2.39779DFA[t] + 0.412283spread1[t] + 9.43257spread2[t] -3.01521D2[t] -11.5931PPE[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
HNR[t] =  +  44.5416 -0.00182707`MDVP:Fo(Hz)`[t] +  0.00247759`MDVP:Fhi(Hz)`[t] +  0.0021025`MDVP:Flo(Hz)`[t] -607.496`MDVP:Jitter(%)`[t] +  57886.9`MDVP:Jitter(Abs)`[t] -27096`MDVP:RAP`[t] +  25.4063`MDVP:PPQ`[t] +  9119.58`Jitter:DDP`[t] +  308.934`MDVP:Shimmer`[t] -10.7544`MDVP:Shimmer(dB)`[t] +  27659.8`Shimmer:APQ3`[t] -193.034`Shimmer:APQ5`[t] +  58.9856`MDVP:APQ`[t] -9349`Shimmer:DDA`[t] -16.4308NHR[t] -0.440425status[t] -17.3235RPDE[t] -2.39779DFA[t] +  0.412283spread1[t] +  9.43257spread2[t] -3.01521D2[t] -11.5931PPE[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=230059&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]HNR[t] =  +  44.5416 -0.00182707`MDVP:Fo(Hz)`[t] +  0.00247759`MDVP:Fhi(Hz)`[t] +  0.0021025`MDVP:Flo(Hz)`[t] -607.496`MDVP:Jitter(%)`[t] +  57886.9`MDVP:Jitter(Abs)`[t] -27096`MDVP:RAP`[t] +  25.4063`MDVP:PPQ`[t] +  9119.58`Jitter:DDP`[t] +  308.934`MDVP:Shimmer`[t] -10.7544`MDVP:Shimmer(dB)`[t] +  27659.8`Shimmer:APQ3`[t] -193.034`Shimmer:APQ5`[t] +  58.9856`MDVP:APQ`[t] -9349`Shimmer:DDA`[t] -16.4308NHR[t] -0.440425status[t] -17.3235RPDE[t] -2.39779DFA[t] +  0.412283spread1[t] +  9.43257spread2[t] -3.01521D2[t] -11.5931PPE[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=230059&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=230059&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
HNR[t] = + 44.5416 -0.00182707`MDVP:Fo(Hz)`[t] + 0.00247759`MDVP:Fhi(Hz)`[t] + 0.0021025`MDVP:Flo(Hz)`[t] -607.496`MDVP:Jitter(%)`[t] + 57886.9`MDVP:Jitter(Abs)`[t] -27096`MDVP:RAP`[t] + 25.4063`MDVP:PPQ`[t] + 9119.58`Jitter:DDP`[t] + 308.934`MDVP:Shimmer`[t] -10.7544`MDVP:Shimmer(dB)`[t] + 27659.8`Shimmer:APQ3`[t] -193.034`Shimmer:APQ5`[t] + 58.9856`MDVP:APQ`[t] -9349`Shimmer:DDA`[t] -16.4308NHR[t] -0.440425status[t] -17.3235RPDE[t] -2.39779DFA[t] + 0.412283spread1[t] + 9.43257spread2[t] -3.01521D2[t] -11.5931PPE[t] + e[t]







Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)44.54165.189698.5835.31731e-152.65865e-15
`MDVP:Fo(Hz)`-0.001827070.00805641-0.22680.820860.41043
`MDVP:Fhi(Hz)`0.002477590.001690991.4650.14470.0723501
`MDVP:Flo(Hz)`0.00210250.004292440.48980.624890.312445
`MDVP:Jitter(%)`-607.496359.244-1.6910.09264040.0463202
`MDVP:Jitter(Abs)`57886.924141.92.3980.01756540.00878272
`MDVP:RAP`-2709649395.3-0.54860.5840230.292011
`MDVP:PPQ`25.4063468.4550.054230.9568110.478406
`Jitter:DDP`9119.5816469.70.55370.580490.290245
`MDVP:Shimmer`308.934180.4281.7120.08865760.0443288
`MDVP:Shimmer(dB)`-10.75446.30472-1.7060.08985590.0449279
`Shimmer:APQ3`27659.847486.40.58250.5610070.280503
`Shimmer:APQ5`-193.034106.121-1.8190.07065190.0353259
`MDVP:APQ`58.985657.53551.0250.3067070.153353
`Shimmer:DDA`-934915824.3-0.59080.5554290.277715
NHR-16.430810.4675-1.570.1183220.0591609
status-0.4404250.402548-1.0940.2754440.137722
RPDE-17.32351.96094-8.8341.14017e-155.70083e-16
DFA-2.397793.91539-0.61240.5410820.270541
spread10.4122830.5202310.79250.4291610.214581
spread29.432572.481283.8010.0001994579.97286e-05
D2-3.015210.560677-5.3782.43219e-071.2161e-07
PPE-11.59317.29296-1.590.1137560.0568778

\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) & 44.5416 & 5.18969 & 8.583 & 5.31731e-15 & 2.65865e-15 \tabularnewline
`MDVP:Fo(Hz)` & -0.00182707 & 0.00805641 & -0.2268 & 0.82086 & 0.41043 \tabularnewline
`MDVP:Fhi(Hz)` & 0.00247759 & 0.00169099 & 1.465 & 0.1447 & 0.0723501 \tabularnewline
`MDVP:Flo(Hz)` & 0.0021025 & 0.00429244 & 0.4898 & 0.62489 & 0.312445 \tabularnewline
`MDVP:Jitter(%)` & -607.496 & 359.244 & -1.691 & 0.0926404 & 0.0463202 \tabularnewline
`MDVP:Jitter(Abs)` & 57886.9 & 24141.9 & 2.398 & 0.0175654 & 0.00878272 \tabularnewline
`MDVP:RAP` & -27096 & 49395.3 & -0.5486 & 0.584023 & 0.292011 \tabularnewline
`MDVP:PPQ` & 25.4063 & 468.455 & 0.05423 & 0.956811 & 0.478406 \tabularnewline
`Jitter:DDP` & 9119.58 & 16469.7 & 0.5537 & 0.58049 & 0.290245 \tabularnewline
`MDVP:Shimmer` & 308.934 & 180.428 & 1.712 & 0.0886576 & 0.0443288 \tabularnewline
`MDVP:Shimmer(dB)` & -10.7544 & 6.30472 & -1.706 & 0.0898559 & 0.0449279 \tabularnewline
`Shimmer:APQ3` & 27659.8 & 47486.4 & 0.5825 & 0.561007 & 0.280503 \tabularnewline
`Shimmer:APQ5` & -193.034 & 106.121 & -1.819 & 0.0706519 & 0.0353259 \tabularnewline
`MDVP:APQ` & 58.9856 & 57.5355 & 1.025 & 0.306707 & 0.153353 \tabularnewline
`Shimmer:DDA` & -9349 & 15824.3 & -0.5908 & 0.555429 & 0.277715 \tabularnewline
NHR & -16.4308 & 10.4675 & -1.57 & 0.118322 & 0.0591609 \tabularnewline
status & -0.440425 & 0.402548 & -1.094 & 0.275444 & 0.137722 \tabularnewline
RPDE & -17.3235 & 1.96094 & -8.834 & 1.14017e-15 & 5.70083e-16 \tabularnewline
DFA & -2.39779 & 3.91539 & -0.6124 & 0.541082 & 0.270541 \tabularnewline
spread1 & 0.412283 & 0.520231 & 0.7925 & 0.429161 & 0.214581 \tabularnewline
spread2 & 9.43257 & 2.48128 & 3.801 & 0.000199457 & 9.97286e-05 \tabularnewline
D2 & -3.01521 & 0.560677 & -5.378 & 2.43219e-07 & 1.2161e-07 \tabularnewline
PPE & -11.5931 & 7.29296 & -1.59 & 0.113756 & 0.0568778 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=230059&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]44.5416[/C][C]5.18969[/C][C]8.583[/C][C]5.31731e-15[/C][C]2.65865e-15[/C][/ROW]
[ROW][C]`MDVP:Fo(Hz)`[/C][C]-0.00182707[/C][C]0.00805641[/C][C]-0.2268[/C][C]0.82086[/C][C]0.41043[/C][/ROW]
[ROW][C]`MDVP:Fhi(Hz)`[/C][C]0.00247759[/C][C]0.00169099[/C][C]1.465[/C][C]0.1447[/C][C]0.0723501[/C][/ROW]
[ROW][C]`MDVP:Flo(Hz)`[/C][C]0.0021025[/C][C]0.00429244[/C][C]0.4898[/C][C]0.62489[/C][C]0.312445[/C][/ROW]
[ROW][C]`MDVP:Jitter(%)`[/C][C]-607.496[/C][C]359.244[/C][C]-1.691[/C][C]0.0926404[/C][C]0.0463202[/C][/ROW]
[ROW][C]`MDVP:Jitter(Abs)`[/C][C]57886.9[/C][C]24141.9[/C][C]2.398[/C][C]0.0175654[/C][C]0.00878272[/C][/ROW]
[ROW][C]`MDVP:RAP`[/C][C]-27096[/C][C]49395.3[/C][C]-0.5486[/C][C]0.584023[/C][C]0.292011[/C][/ROW]
[ROW][C]`MDVP:PPQ`[/C][C]25.4063[/C][C]468.455[/C][C]0.05423[/C][C]0.956811[/C][C]0.478406[/C][/ROW]
[ROW][C]`Jitter:DDP`[/C][C]9119.58[/C][C]16469.7[/C][C]0.5537[/C][C]0.58049[/C][C]0.290245[/C][/ROW]
[ROW][C]`MDVP:Shimmer`[/C][C]308.934[/C][C]180.428[/C][C]1.712[/C][C]0.0886576[/C][C]0.0443288[/C][/ROW]
[ROW][C]`MDVP:Shimmer(dB)`[/C][C]-10.7544[/C][C]6.30472[/C][C]-1.706[/C][C]0.0898559[/C][C]0.0449279[/C][/ROW]
[ROW][C]`Shimmer:APQ3`[/C][C]27659.8[/C][C]47486.4[/C][C]0.5825[/C][C]0.561007[/C][C]0.280503[/C][/ROW]
[ROW][C]`Shimmer:APQ5`[/C][C]-193.034[/C][C]106.121[/C][C]-1.819[/C][C]0.0706519[/C][C]0.0353259[/C][/ROW]
[ROW][C]`MDVP:APQ`[/C][C]58.9856[/C][C]57.5355[/C][C]1.025[/C][C]0.306707[/C][C]0.153353[/C][/ROW]
[ROW][C]`Shimmer:DDA`[/C][C]-9349[/C][C]15824.3[/C][C]-0.5908[/C][C]0.555429[/C][C]0.277715[/C][/ROW]
[ROW][C]NHR[/C][C]-16.4308[/C][C]10.4675[/C][C]-1.57[/C][C]0.118322[/C][C]0.0591609[/C][/ROW]
[ROW][C]status[/C][C]-0.440425[/C][C]0.402548[/C][C]-1.094[/C][C]0.275444[/C][C]0.137722[/C][/ROW]
[ROW][C]RPDE[/C][C]-17.3235[/C][C]1.96094[/C][C]-8.834[/C][C]1.14017e-15[/C][C]5.70083e-16[/C][/ROW]
[ROW][C]DFA[/C][C]-2.39779[/C][C]3.91539[/C][C]-0.6124[/C][C]0.541082[/C][C]0.270541[/C][/ROW]
[ROW][C]spread1[/C][C]0.412283[/C][C]0.520231[/C][C]0.7925[/C][C]0.429161[/C][C]0.214581[/C][/ROW]
[ROW][C]spread2[/C][C]9.43257[/C][C]2.48128[/C][C]3.801[/C][C]0.000199457[/C][C]9.97286e-05[/C][/ROW]
[ROW][C]D2[/C][C]-3.01521[/C][C]0.560677[/C][C]-5.378[/C][C]2.43219e-07[/C][C]1.2161e-07[/C][/ROW]
[ROW][C]PPE[/C][C]-11.5931[/C][C]7.29296[/C][C]-1.59[/C][C]0.113756[/C][C]0.0568778[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=230059&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=230059&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
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)44.54165.189698.5835.31731e-152.65865e-15
`MDVP:Fo(Hz)`-0.001827070.00805641-0.22680.820860.41043
`MDVP:Fhi(Hz)`0.002477590.001690991.4650.14470.0723501
`MDVP:Flo(Hz)`0.00210250.004292440.48980.624890.312445
`MDVP:Jitter(%)`-607.496359.244-1.6910.09264040.0463202
`MDVP:Jitter(Abs)`57886.924141.92.3980.01756540.00878272
`MDVP:RAP`-2709649395.3-0.54860.5840230.292011
`MDVP:PPQ`25.4063468.4550.054230.9568110.478406
`Jitter:DDP`9119.5816469.70.55370.580490.290245
`MDVP:Shimmer`308.934180.4281.7120.08865760.0443288
`MDVP:Shimmer(dB)`-10.75446.30472-1.7060.08985590.0449279
`Shimmer:APQ3`27659.847486.40.58250.5610070.280503
`Shimmer:APQ5`-193.034106.121-1.8190.07065190.0353259
`MDVP:APQ`58.985657.53551.0250.3067070.153353
`Shimmer:DDA`-934915824.3-0.59080.5554290.277715
NHR-16.430810.4675-1.570.1183220.0591609
status-0.4404250.402548-1.0940.2754440.137722
RPDE-17.32351.96094-8.8341.14017e-155.70083e-16
DFA-2.397793.91539-0.61240.5410820.270541
spread10.4122830.5202310.79250.4291610.214581
spread29.432572.481283.8010.0001994579.97286e-05
D2-3.015210.560677-5.3782.43219e-071.2161e-07
PPE-11.59317.29296-1.590.1137560.0568778







Multiple Linear Regression - Regression Statistics
Multiple R0.92975
R-squared0.864435
Adjusted R-squared0.847095
F-TEST (value)49.8527
F-TEST (DF numerator)22
F-TEST (DF denominator)172
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation1.73061
Sum Squared Residuals515.142

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.92975 \tabularnewline
R-squared & 0.864435 \tabularnewline
Adjusted R-squared & 0.847095 \tabularnewline
F-TEST (value) & 49.8527 \tabularnewline
F-TEST (DF numerator) & 22 \tabularnewline
F-TEST (DF denominator) & 172 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 1.73061 \tabularnewline
Sum Squared Residuals & 515.142 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=230059&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.92975[/C][/ROW]
[ROW][C]R-squared[/C][C]0.864435[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.847095[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]49.8527[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]22[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]172[/C][/ROW]
[ROW][C]p-value[/C][C]0[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]1.73061[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]515.142[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=230059&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=230059&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 R0.92975
R-squared0.864435
Adjusted R-squared0.847095
F-TEST (value)49.8527
F-TEST (DF numerator)22
F-TEST (DF denominator)172
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation1.73061
Sum Squared Residuals515.142







Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
121.03321.8147-0.781673
219.08517.881.205
320.65120.61420.0368069
420.64419.89770.7463
519.64917.84341.80562
621.37821.08110.296875
724.88623.96350.922532
826.89221.95724.93478
921.81222.8598-1.04783
1021.86222.7886-0.9266
1121.11823.2228-2.10478
1221.41421.9825-0.568495
1325.70325.13050.572493
1424.88925.1938-0.304784
1524.92224.11520.806816
1625.17522.79222.38279
1722.33322.7276-0.394585
1820.37618.79791.57806
1917.2816.23731.04271
2017.15319.2281-2.07515
2117.53617.6966-0.160588
2219.49319.15240.340568
2322.46818.51053.95752
2420.42219.8080.61399
2523.83123.7320.0990145
2622.06621.28560.780396
2725.90824.63231.27574
2825.11925.2575-0.138471
2925.9725.62280.347177
3025.67826.0542-0.376244
3126.77526.9769-0.20195
3230.9425.98244.95761
3330.77527.23213.54287
3432.68429.21773.46629
3533.04730.25942.78757
3631.73226.6495.08305
3723.21624.285-1.06901
3824.95124.9748-0.0238369
3926.73825.82710.910869
4026.3125.68790.622119
4126.82226.67030.15168
4226.45325.37171.08127
4322.73625.4329-2.69693
4423.14524.1229-0.977853
4525.36824.43910.928851
4625.03223.99071.04127
4724.60223.52451.07755
4826.80523.5213.28397
4923.16223.9941-0.832125
5024.97124.70330.267747
5125.13524.47180.663179
5225.0324.57020.45976
5324.69224.9847-0.292684
5425.42925.442-0.0129822
5521.02821.7066-0.678616
5620.76720.45650.310539
5721.42221.14160.280394
5822.81722.51630.300727
5922.60322.6618-0.0587932
6021.6621.6905-0.0305386
6125.55424.33351.22047
6226.13822.95023.1878
6325.85625.18950.666465
6425.96425.60910.354946
6526.41527.7039-1.28887
6624.54725.5631-1.01611
6719.5621.5225-1.96253
6819.97921.7009-1.72194
6920.33819.87480.463165
7021.71819.60082.11718
7120.26421.2394-0.975388
7218.5718.46750.10253
7325.74224.62531.11672
7424.17825.7637-1.58573
7525.43823.3662.07203
7625.19725.7988-0.601798
7723.3723.19080.179202
7825.8225.48690.333127
7921.87521.10860.766433
8019.219.648-0.447999
8119.05518.30980.7452
8219.65920.5354-0.876364
8320.53620.48140.0545529
8422.24420.94981.29421
8513.89316.0439-2.15089
8616.17617.5715-1.39555
8715.92419.4839-3.55991
8813.92214.1213-0.199258
8914.73914.18360.555383
9011.86613.5734-1.70741
9111.74411.61740.12656
9219.66417.43732.22673
9318.7819.8437-1.06371
9420.96919.48741.48159
9522.21921.59850.620478
9621.69322.352-0.658954
9722.66324.0394-1.37638
9815.33816.9803-1.64227
9915.43318.3378-2.90478
10012.43513.034-0.598997
1018.8677.153691.71331
10215.0615.4178-0.357798
10310.4898.468952.02005
10426.75927.5678-0.808786
10528.40928.97-0.561001
10627.42127.5432-0.122225
10729.74627.49322.2528
10826.83326.65360.179413
10929.92827.62792.30012
11021.93420.52861.4054
11123.23922.39560.843367
11222.40725.0188-2.61177
11321.30520.77160.533428
11423.67124.1009-0.429854
11521.86423.0361-1.17212
11623.69323.23130.461744
11726.35624.93391.42206
11825.6922.77622.91376
11925.0224.35260.667403
12024.58123.41931.16169
12124.74324.37760.365388
12227.16625.04342.12265
12318.30519.2247-0.919732
12418.78419.4432-0.659205
12519.19620.0156-0.819564
12618.85720.1883-1.33126
12718.17820.3423-2.1643
12818.3319.9873-1.65728
12926.84224.40952.43245
13026.36924.72671.64228
13123.94923.58890.360138
13226.01723.61922.39783
13323.38923.8364-0.447406
13425.61925.21390.405126
13517.0618.8078-1.74779
13617.70718.1152-0.40815
13719.01320.2493-1.23627
13816.74716.9743-0.227264
13917.36617.9993-0.633269
14018.80120.4379-1.63692
14118.5417.74360.796358
14215.64814.64621.00181
14318.70219.6201-0.918128
14418.68721.4609-2.77391
14520.6821.8709-1.19094
14620.36620.6004-0.234365
14712.35913.2786-0.919605
14814.36716.6034-2.23641
14912.29812.4631-0.165054
15014.98915.8744-0.885429
15112.52914.3987-1.86966
1528.4415.591062.84994
1539.4497.22892.2201
15421.5223.6868-2.16676
15521.82419.3632.46098
15622.43120.22372.20731
15722.95319.95183.00121
15819.07518.35690.718056
15921.53419.00722.52676
16019.65122.0077-2.35673
16120.43722.7397-2.30271
16219.38820.9681-1.58015
16318.95419.2187-0.26467
16421.21923.5587-2.33973
16518.44720.2972-1.85016
16624.07823.08990.988083
16724.67927.1715-2.49245
16821.08325.0734-3.99043
16919.26921.7144-2.4454
17021.0223.5669-2.5469
17121.52823.0717-1.54367
17226.43626.3760.0599968
17326.5527.4208-0.870777
17426.54727.2817-0.734691
17525.44527.4044-1.95942
17626.00526.3427-0.337675
17726.14326.3369-0.193897
17824.15125.1355-0.984507
17924.41224.7503-0.338303
18023.68324.0148-0.331829
18123.13325.5345-2.40147
18222.86623.7518-0.885793
18323.00824.9307-1.9227
18423.07923.3603-0.281304
18522.08522.3128-0.227801
18624.19923.37350.825451
18723.95824.5489-0.590924
18825.02324.92390.0990985
18924.77524.75340.0216134
19019.36820.2501-0.882056
19119.51719.9133-0.396279
19219.14720.588-1.44101
19317.88319.7288-1.8458
19419.0222.9544-3.93442
19521.20922.1582-0.949203

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 21.033 & 21.8147 & -0.781673 \tabularnewline
2 & 19.085 & 17.88 & 1.205 \tabularnewline
3 & 20.651 & 20.6142 & 0.0368069 \tabularnewline
4 & 20.644 & 19.8977 & 0.7463 \tabularnewline
5 & 19.649 & 17.8434 & 1.80562 \tabularnewline
6 & 21.378 & 21.0811 & 0.296875 \tabularnewline
7 & 24.886 & 23.9635 & 0.922532 \tabularnewline
8 & 26.892 & 21.9572 & 4.93478 \tabularnewline
9 & 21.812 & 22.8598 & -1.04783 \tabularnewline
10 & 21.862 & 22.7886 & -0.9266 \tabularnewline
11 & 21.118 & 23.2228 & -2.10478 \tabularnewline
12 & 21.414 & 21.9825 & -0.568495 \tabularnewline
13 & 25.703 & 25.1305 & 0.572493 \tabularnewline
14 & 24.889 & 25.1938 & -0.304784 \tabularnewline
15 & 24.922 & 24.1152 & 0.806816 \tabularnewline
16 & 25.175 & 22.7922 & 2.38279 \tabularnewline
17 & 22.333 & 22.7276 & -0.394585 \tabularnewline
18 & 20.376 & 18.7979 & 1.57806 \tabularnewline
19 & 17.28 & 16.2373 & 1.04271 \tabularnewline
20 & 17.153 & 19.2281 & -2.07515 \tabularnewline
21 & 17.536 & 17.6966 & -0.160588 \tabularnewline
22 & 19.493 & 19.1524 & 0.340568 \tabularnewline
23 & 22.468 & 18.5105 & 3.95752 \tabularnewline
24 & 20.422 & 19.808 & 0.61399 \tabularnewline
25 & 23.831 & 23.732 & 0.0990145 \tabularnewline
26 & 22.066 & 21.2856 & 0.780396 \tabularnewline
27 & 25.908 & 24.6323 & 1.27574 \tabularnewline
28 & 25.119 & 25.2575 & -0.138471 \tabularnewline
29 & 25.97 & 25.6228 & 0.347177 \tabularnewline
30 & 25.678 & 26.0542 & -0.376244 \tabularnewline
31 & 26.775 & 26.9769 & -0.20195 \tabularnewline
32 & 30.94 & 25.9824 & 4.95761 \tabularnewline
33 & 30.775 & 27.2321 & 3.54287 \tabularnewline
34 & 32.684 & 29.2177 & 3.46629 \tabularnewline
35 & 33.047 & 30.2594 & 2.78757 \tabularnewline
36 & 31.732 & 26.649 & 5.08305 \tabularnewline
37 & 23.216 & 24.285 & -1.06901 \tabularnewline
38 & 24.951 & 24.9748 & -0.0238369 \tabularnewline
39 & 26.738 & 25.8271 & 0.910869 \tabularnewline
40 & 26.31 & 25.6879 & 0.622119 \tabularnewline
41 & 26.822 & 26.6703 & 0.15168 \tabularnewline
42 & 26.453 & 25.3717 & 1.08127 \tabularnewline
43 & 22.736 & 25.4329 & -2.69693 \tabularnewline
44 & 23.145 & 24.1229 & -0.977853 \tabularnewline
45 & 25.368 & 24.4391 & 0.928851 \tabularnewline
46 & 25.032 & 23.9907 & 1.04127 \tabularnewline
47 & 24.602 & 23.5245 & 1.07755 \tabularnewline
48 & 26.805 & 23.521 & 3.28397 \tabularnewline
49 & 23.162 & 23.9941 & -0.832125 \tabularnewline
50 & 24.971 & 24.7033 & 0.267747 \tabularnewline
51 & 25.135 & 24.4718 & 0.663179 \tabularnewline
52 & 25.03 & 24.5702 & 0.45976 \tabularnewline
53 & 24.692 & 24.9847 & -0.292684 \tabularnewline
54 & 25.429 & 25.442 & -0.0129822 \tabularnewline
55 & 21.028 & 21.7066 & -0.678616 \tabularnewline
56 & 20.767 & 20.4565 & 0.310539 \tabularnewline
57 & 21.422 & 21.1416 & 0.280394 \tabularnewline
58 & 22.817 & 22.5163 & 0.300727 \tabularnewline
59 & 22.603 & 22.6618 & -0.0587932 \tabularnewline
60 & 21.66 & 21.6905 & -0.0305386 \tabularnewline
61 & 25.554 & 24.3335 & 1.22047 \tabularnewline
62 & 26.138 & 22.9502 & 3.1878 \tabularnewline
63 & 25.856 & 25.1895 & 0.666465 \tabularnewline
64 & 25.964 & 25.6091 & 0.354946 \tabularnewline
65 & 26.415 & 27.7039 & -1.28887 \tabularnewline
66 & 24.547 & 25.5631 & -1.01611 \tabularnewline
67 & 19.56 & 21.5225 & -1.96253 \tabularnewline
68 & 19.979 & 21.7009 & -1.72194 \tabularnewline
69 & 20.338 & 19.8748 & 0.463165 \tabularnewline
70 & 21.718 & 19.6008 & 2.11718 \tabularnewline
71 & 20.264 & 21.2394 & -0.975388 \tabularnewline
72 & 18.57 & 18.4675 & 0.10253 \tabularnewline
73 & 25.742 & 24.6253 & 1.11672 \tabularnewline
74 & 24.178 & 25.7637 & -1.58573 \tabularnewline
75 & 25.438 & 23.366 & 2.07203 \tabularnewline
76 & 25.197 & 25.7988 & -0.601798 \tabularnewline
77 & 23.37 & 23.1908 & 0.179202 \tabularnewline
78 & 25.82 & 25.4869 & 0.333127 \tabularnewline
79 & 21.875 & 21.1086 & 0.766433 \tabularnewline
80 & 19.2 & 19.648 & -0.447999 \tabularnewline
81 & 19.055 & 18.3098 & 0.7452 \tabularnewline
82 & 19.659 & 20.5354 & -0.876364 \tabularnewline
83 & 20.536 & 20.4814 & 0.0545529 \tabularnewline
84 & 22.244 & 20.9498 & 1.29421 \tabularnewline
85 & 13.893 & 16.0439 & -2.15089 \tabularnewline
86 & 16.176 & 17.5715 & -1.39555 \tabularnewline
87 & 15.924 & 19.4839 & -3.55991 \tabularnewline
88 & 13.922 & 14.1213 & -0.199258 \tabularnewline
89 & 14.739 & 14.1836 & 0.555383 \tabularnewline
90 & 11.866 & 13.5734 & -1.70741 \tabularnewline
91 & 11.744 & 11.6174 & 0.12656 \tabularnewline
92 & 19.664 & 17.4373 & 2.22673 \tabularnewline
93 & 18.78 & 19.8437 & -1.06371 \tabularnewline
94 & 20.969 & 19.4874 & 1.48159 \tabularnewline
95 & 22.219 & 21.5985 & 0.620478 \tabularnewline
96 & 21.693 & 22.352 & -0.658954 \tabularnewline
97 & 22.663 & 24.0394 & -1.37638 \tabularnewline
98 & 15.338 & 16.9803 & -1.64227 \tabularnewline
99 & 15.433 & 18.3378 & -2.90478 \tabularnewline
100 & 12.435 & 13.034 & -0.598997 \tabularnewline
101 & 8.867 & 7.15369 & 1.71331 \tabularnewline
102 & 15.06 & 15.4178 & -0.357798 \tabularnewline
103 & 10.489 & 8.46895 & 2.02005 \tabularnewline
104 & 26.759 & 27.5678 & -0.808786 \tabularnewline
105 & 28.409 & 28.97 & -0.561001 \tabularnewline
106 & 27.421 & 27.5432 & -0.122225 \tabularnewline
107 & 29.746 & 27.4932 & 2.2528 \tabularnewline
108 & 26.833 & 26.6536 & 0.179413 \tabularnewline
109 & 29.928 & 27.6279 & 2.30012 \tabularnewline
110 & 21.934 & 20.5286 & 1.4054 \tabularnewline
111 & 23.239 & 22.3956 & 0.843367 \tabularnewline
112 & 22.407 & 25.0188 & -2.61177 \tabularnewline
113 & 21.305 & 20.7716 & 0.533428 \tabularnewline
114 & 23.671 & 24.1009 & -0.429854 \tabularnewline
115 & 21.864 & 23.0361 & -1.17212 \tabularnewline
116 & 23.693 & 23.2313 & 0.461744 \tabularnewline
117 & 26.356 & 24.9339 & 1.42206 \tabularnewline
118 & 25.69 & 22.7762 & 2.91376 \tabularnewline
119 & 25.02 & 24.3526 & 0.667403 \tabularnewline
120 & 24.581 & 23.4193 & 1.16169 \tabularnewline
121 & 24.743 & 24.3776 & 0.365388 \tabularnewline
122 & 27.166 & 25.0434 & 2.12265 \tabularnewline
123 & 18.305 & 19.2247 & -0.919732 \tabularnewline
124 & 18.784 & 19.4432 & -0.659205 \tabularnewline
125 & 19.196 & 20.0156 & -0.819564 \tabularnewline
126 & 18.857 & 20.1883 & -1.33126 \tabularnewline
127 & 18.178 & 20.3423 & -2.1643 \tabularnewline
128 & 18.33 & 19.9873 & -1.65728 \tabularnewline
129 & 26.842 & 24.4095 & 2.43245 \tabularnewline
130 & 26.369 & 24.7267 & 1.64228 \tabularnewline
131 & 23.949 & 23.5889 & 0.360138 \tabularnewline
132 & 26.017 & 23.6192 & 2.39783 \tabularnewline
133 & 23.389 & 23.8364 & -0.447406 \tabularnewline
134 & 25.619 & 25.2139 & 0.405126 \tabularnewline
135 & 17.06 & 18.8078 & -1.74779 \tabularnewline
136 & 17.707 & 18.1152 & -0.40815 \tabularnewline
137 & 19.013 & 20.2493 & -1.23627 \tabularnewline
138 & 16.747 & 16.9743 & -0.227264 \tabularnewline
139 & 17.366 & 17.9993 & -0.633269 \tabularnewline
140 & 18.801 & 20.4379 & -1.63692 \tabularnewline
141 & 18.54 & 17.7436 & 0.796358 \tabularnewline
142 & 15.648 & 14.6462 & 1.00181 \tabularnewline
143 & 18.702 & 19.6201 & -0.918128 \tabularnewline
144 & 18.687 & 21.4609 & -2.77391 \tabularnewline
145 & 20.68 & 21.8709 & -1.19094 \tabularnewline
146 & 20.366 & 20.6004 & -0.234365 \tabularnewline
147 & 12.359 & 13.2786 & -0.919605 \tabularnewline
148 & 14.367 & 16.6034 & -2.23641 \tabularnewline
149 & 12.298 & 12.4631 & -0.165054 \tabularnewline
150 & 14.989 & 15.8744 & -0.885429 \tabularnewline
151 & 12.529 & 14.3987 & -1.86966 \tabularnewline
152 & 8.441 & 5.59106 & 2.84994 \tabularnewline
153 & 9.449 & 7.2289 & 2.2201 \tabularnewline
154 & 21.52 & 23.6868 & -2.16676 \tabularnewline
155 & 21.824 & 19.363 & 2.46098 \tabularnewline
156 & 22.431 & 20.2237 & 2.20731 \tabularnewline
157 & 22.953 & 19.9518 & 3.00121 \tabularnewline
158 & 19.075 & 18.3569 & 0.718056 \tabularnewline
159 & 21.534 & 19.0072 & 2.52676 \tabularnewline
160 & 19.651 & 22.0077 & -2.35673 \tabularnewline
161 & 20.437 & 22.7397 & -2.30271 \tabularnewline
162 & 19.388 & 20.9681 & -1.58015 \tabularnewline
163 & 18.954 & 19.2187 & -0.26467 \tabularnewline
164 & 21.219 & 23.5587 & -2.33973 \tabularnewline
165 & 18.447 & 20.2972 & -1.85016 \tabularnewline
166 & 24.078 & 23.0899 & 0.988083 \tabularnewline
167 & 24.679 & 27.1715 & -2.49245 \tabularnewline
168 & 21.083 & 25.0734 & -3.99043 \tabularnewline
169 & 19.269 & 21.7144 & -2.4454 \tabularnewline
170 & 21.02 & 23.5669 & -2.5469 \tabularnewline
171 & 21.528 & 23.0717 & -1.54367 \tabularnewline
172 & 26.436 & 26.376 & 0.0599968 \tabularnewline
173 & 26.55 & 27.4208 & -0.870777 \tabularnewline
174 & 26.547 & 27.2817 & -0.734691 \tabularnewline
175 & 25.445 & 27.4044 & -1.95942 \tabularnewline
176 & 26.005 & 26.3427 & -0.337675 \tabularnewline
177 & 26.143 & 26.3369 & -0.193897 \tabularnewline
178 & 24.151 & 25.1355 & -0.984507 \tabularnewline
179 & 24.412 & 24.7503 & -0.338303 \tabularnewline
180 & 23.683 & 24.0148 & -0.331829 \tabularnewline
181 & 23.133 & 25.5345 & -2.40147 \tabularnewline
182 & 22.866 & 23.7518 & -0.885793 \tabularnewline
183 & 23.008 & 24.9307 & -1.9227 \tabularnewline
184 & 23.079 & 23.3603 & -0.281304 \tabularnewline
185 & 22.085 & 22.3128 & -0.227801 \tabularnewline
186 & 24.199 & 23.3735 & 0.825451 \tabularnewline
187 & 23.958 & 24.5489 & -0.590924 \tabularnewline
188 & 25.023 & 24.9239 & 0.0990985 \tabularnewline
189 & 24.775 & 24.7534 & 0.0216134 \tabularnewline
190 & 19.368 & 20.2501 & -0.882056 \tabularnewline
191 & 19.517 & 19.9133 & -0.396279 \tabularnewline
192 & 19.147 & 20.588 & -1.44101 \tabularnewline
193 & 17.883 & 19.7288 & -1.8458 \tabularnewline
194 & 19.02 & 22.9544 & -3.93442 \tabularnewline
195 & 21.209 & 22.1582 & -0.949203 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=230059&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]21.033[/C][C]21.8147[/C][C]-0.781673[/C][/ROW]
[ROW][C]2[/C][C]19.085[/C][C]17.88[/C][C]1.205[/C][/ROW]
[ROW][C]3[/C][C]20.651[/C][C]20.6142[/C][C]0.0368069[/C][/ROW]
[ROW][C]4[/C][C]20.644[/C][C]19.8977[/C][C]0.7463[/C][/ROW]
[ROW][C]5[/C][C]19.649[/C][C]17.8434[/C][C]1.80562[/C][/ROW]
[ROW][C]6[/C][C]21.378[/C][C]21.0811[/C][C]0.296875[/C][/ROW]
[ROW][C]7[/C][C]24.886[/C][C]23.9635[/C][C]0.922532[/C][/ROW]
[ROW][C]8[/C][C]26.892[/C][C]21.9572[/C][C]4.93478[/C][/ROW]
[ROW][C]9[/C][C]21.812[/C][C]22.8598[/C][C]-1.04783[/C][/ROW]
[ROW][C]10[/C][C]21.862[/C][C]22.7886[/C][C]-0.9266[/C][/ROW]
[ROW][C]11[/C][C]21.118[/C][C]23.2228[/C][C]-2.10478[/C][/ROW]
[ROW][C]12[/C][C]21.414[/C][C]21.9825[/C][C]-0.568495[/C][/ROW]
[ROW][C]13[/C][C]25.703[/C][C]25.1305[/C][C]0.572493[/C][/ROW]
[ROW][C]14[/C][C]24.889[/C][C]25.1938[/C][C]-0.304784[/C][/ROW]
[ROW][C]15[/C][C]24.922[/C][C]24.1152[/C][C]0.806816[/C][/ROW]
[ROW][C]16[/C][C]25.175[/C][C]22.7922[/C][C]2.38279[/C][/ROW]
[ROW][C]17[/C][C]22.333[/C][C]22.7276[/C][C]-0.394585[/C][/ROW]
[ROW][C]18[/C][C]20.376[/C][C]18.7979[/C][C]1.57806[/C][/ROW]
[ROW][C]19[/C][C]17.28[/C][C]16.2373[/C][C]1.04271[/C][/ROW]
[ROW][C]20[/C][C]17.153[/C][C]19.2281[/C][C]-2.07515[/C][/ROW]
[ROW][C]21[/C][C]17.536[/C][C]17.6966[/C][C]-0.160588[/C][/ROW]
[ROW][C]22[/C][C]19.493[/C][C]19.1524[/C][C]0.340568[/C][/ROW]
[ROW][C]23[/C][C]22.468[/C][C]18.5105[/C][C]3.95752[/C][/ROW]
[ROW][C]24[/C][C]20.422[/C][C]19.808[/C][C]0.61399[/C][/ROW]
[ROW][C]25[/C][C]23.831[/C][C]23.732[/C][C]0.0990145[/C][/ROW]
[ROW][C]26[/C][C]22.066[/C][C]21.2856[/C][C]0.780396[/C][/ROW]
[ROW][C]27[/C][C]25.908[/C][C]24.6323[/C][C]1.27574[/C][/ROW]
[ROW][C]28[/C][C]25.119[/C][C]25.2575[/C][C]-0.138471[/C][/ROW]
[ROW][C]29[/C][C]25.97[/C][C]25.6228[/C][C]0.347177[/C][/ROW]
[ROW][C]30[/C][C]25.678[/C][C]26.0542[/C][C]-0.376244[/C][/ROW]
[ROW][C]31[/C][C]26.775[/C][C]26.9769[/C][C]-0.20195[/C][/ROW]
[ROW][C]32[/C][C]30.94[/C][C]25.9824[/C][C]4.95761[/C][/ROW]
[ROW][C]33[/C][C]30.775[/C][C]27.2321[/C][C]3.54287[/C][/ROW]
[ROW][C]34[/C][C]32.684[/C][C]29.2177[/C][C]3.46629[/C][/ROW]
[ROW][C]35[/C][C]33.047[/C][C]30.2594[/C][C]2.78757[/C][/ROW]
[ROW][C]36[/C][C]31.732[/C][C]26.649[/C][C]5.08305[/C][/ROW]
[ROW][C]37[/C][C]23.216[/C][C]24.285[/C][C]-1.06901[/C][/ROW]
[ROW][C]38[/C][C]24.951[/C][C]24.9748[/C][C]-0.0238369[/C][/ROW]
[ROW][C]39[/C][C]26.738[/C][C]25.8271[/C][C]0.910869[/C][/ROW]
[ROW][C]40[/C][C]26.31[/C][C]25.6879[/C][C]0.622119[/C][/ROW]
[ROW][C]41[/C][C]26.822[/C][C]26.6703[/C][C]0.15168[/C][/ROW]
[ROW][C]42[/C][C]26.453[/C][C]25.3717[/C][C]1.08127[/C][/ROW]
[ROW][C]43[/C][C]22.736[/C][C]25.4329[/C][C]-2.69693[/C][/ROW]
[ROW][C]44[/C][C]23.145[/C][C]24.1229[/C][C]-0.977853[/C][/ROW]
[ROW][C]45[/C][C]25.368[/C][C]24.4391[/C][C]0.928851[/C][/ROW]
[ROW][C]46[/C][C]25.032[/C][C]23.9907[/C][C]1.04127[/C][/ROW]
[ROW][C]47[/C][C]24.602[/C][C]23.5245[/C][C]1.07755[/C][/ROW]
[ROW][C]48[/C][C]26.805[/C][C]23.521[/C][C]3.28397[/C][/ROW]
[ROW][C]49[/C][C]23.162[/C][C]23.9941[/C][C]-0.832125[/C][/ROW]
[ROW][C]50[/C][C]24.971[/C][C]24.7033[/C][C]0.267747[/C][/ROW]
[ROW][C]51[/C][C]25.135[/C][C]24.4718[/C][C]0.663179[/C][/ROW]
[ROW][C]52[/C][C]25.03[/C][C]24.5702[/C][C]0.45976[/C][/ROW]
[ROW][C]53[/C][C]24.692[/C][C]24.9847[/C][C]-0.292684[/C][/ROW]
[ROW][C]54[/C][C]25.429[/C][C]25.442[/C][C]-0.0129822[/C][/ROW]
[ROW][C]55[/C][C]21.028[/C][C]21.7066[/C][C]-0.678616[/C][/ROW]
[ROW][C]56[/C][C]20.767[/C][C]20.4565[/C][C]0.310539[/C][/ROW]
[ROW][C]57[/C][C]21.422[/C][C]21.1416[/C][C]0.280394[/C][/ROW]
[ROW][C]58[/C][C]22.817[/C][C]22.5163[/C][C]0.300727[/C][/ROW]
[ROW][C]59[/C][C]22.603[/C][C]22.6618[/C][C]-0.0587932[/C][/ROW]
[ROW][C]60[/C][C]21.66[/C][C]21.6905[/C][C]-0.0305386[/C][/ROW]
[ROW][C]61[/C][C]25.554[/C][C]24.3335[/C][C]1.22047[/C][/ROW]
[ROW][C]62[/C][C]26.138[/C][C]22.9502[/C][C]3.1878[/C][/ROW]
[ROW][C]63[/C][C]25.856[/C][C]25.1895[/C][C]0.666465[/C][/ROW]
[ROW][C]64[/C][C]25.964[/C][C]25.6091[/C][C]0.354946[/C][/ROW]
[ROW][C]65[/C][C]26.415[/C][C]27.7039[/C][C]-1.28887[/C][/ROW]
[ROW][C]66[/C][C]24.547[/C][C]25.5631[/C][C]-1.01611[/C][/ROW]
[ROW][C]67[/C][C]19.56[/C][C]21.5225[/C][C]-1.96253[/C][/ROW]
[ROW][C]68[/C][C]19.979[/C][C]21.7009[/C][C]-1.72194[/C][/ROW]
[ROW][C]69[/C][C]20.338[/C][C]19.8748[/C][C]0.463165[/C][/ROW]
[ROW][C]70[/C][C]21.718[/C][C]19.6008[/C][C]2.11718[/C][/ROW]
[ROW][C]71[/C][C]20.264[/C][C]21.2394[/C][C]-0.975388[/C][/ROW]
[ROW][C]72[/C][C]18.57[/C][C]18.4675[/C][C]0.10253[/C][/ROW]
[ROW][C]73[/C][C]25.742[/C][C]24.6253[/C][C]1.11672[/C][/ROW]
[ROW][C]74[/C][C]24.178[/C][C]25.7637[/C][C]-1.58573[/C][/ROW]
[ROW][C]75[/C][C]25.438[/C][C]23.366[/C][C]2.07203[/C][/ROW]
[ROW][C]76[/C][C]25.197[/C][C]25.7988[/C][C]-0.601798[/C][/ROW]
[ROW][C]77[/C][C]23.37[/C][C]23.1908[/C][C]0.179202[/C][/ROW]
[ROW][C]78[/C][C]25.82[/C][C]25.4869[/C][C]0.333127[/C][/ROW]
[ROW][C]79[/C][C]21.875[/C][C]21.1086[/C][C]0.766433[/C][/ROW]
[ROW][C]80[/C][C]19.2[/C][C]19.648[/C][C]-0.447999[/C][/ROW]
[ROW][C]81[/C][C]19.055[/C][C]18.3098[/C][C]0.7452[/C][/ROW]
[ROW][C]82[/C][C]19.659[/C][C]20.5354[/C][C]-0.876364[/C][/ROW]
[ROW][C]83[/C][C]20.536[/C][C]20.4814[/C][C]0.0545529[/C][/ROW]
[ROW][C]84[/C][C]22.244[/C][C]20.9498[/C][C]1.29421[/C][/ROW]
[ROW][C]85[/C][C]13.893[/C][C]16.0439[/C][C]-2.15089[/C][/ROW]
[ROW][C]86[/C][C]16.176[/C][C]17.5715[/C][C]-1.39555[/C][/ROW]
[ROW][C]87[/C][C]15.924[/C][C]19.4839[/C][C]-3.55991[/C][/ROW]
[ROW][C]88[/C][C]13.922[/C][C]14.1213[/C][C]-0.199258[/C][/ROW]
[ROW][C]89[/C][C]14.739[/C][C]14.1836[/C][C]0.555383[/C][/ROW]
[ROW][C]90[/C][C]11.866[/C][C]13.5734[/C][C]-1.70741[/C][/ROW]
[ROW][C]91[/C][C]11.744[/C][C]11.6174[/C][C]0.12656[/C][/ROW]
[ROW][C]92[/C][C]19.664[/C][C]17.4373[/C][C]2.22673[/C][/ROW]
[ROW][C]93[/C][C]18.78[/C][C]19.8437[/C][C]-1.06371[/C][/ROW]
[ROW][C]94[/C][C]20.969[/C][C]19.4874[/C][C]1.48159[/C][/ROW]
[ROW][C]95[/C][C]22.219[/C][C]21.5985[/C][C]0.620478[/C][/ROW]
[ROW][C]96[/C][C]21.693[/C][C]22.352[/C][C]-0.658954[/C][/ROW]
[ROW][C]97[/C][C]22.663[/C][C]24.0394[/C][C]-1.37638[/C][/ROW]
[ROW][C]98[/C][C]15.338[/C][C]16.9803[/C][C]-1.64227[/C][/ROW]
[ROW][C]99[/C][C]15.433[/C][C]18.3378[/C][C]-2.90478[/C][/ROW]
[ROW][C]100[/C][C]12.435[/C][C]13.034[/C][C]-0.598997[/C][/ROW]
[ROW][C]101[/C][C]8.867[/C][C]7.15369[/C][C]1.71331[/C][/ROW]
[ROW][C]102[/C][C]15.06[/C][C]15.4178[/C][C]-0.357798[/C][/ROW]
[ROW][C]103[/C][C]10.489[/C][C]8.46895[/C][C]2.02005[/C][/ROW]
[ROW][C]104[/C][C]26.759[/C][C]27.5678[/C][C]-0.808786[/C][/ROW]
[ROW][C]105[/C][C]28.409[/C][C]28.97[/C][C]-0.561001[/C][/ROW]
[ROW][C]106[/C][C]27.421[/C][C]27.5432[/C][C]-0.122225[/C][/ROW]
[ROW][C]107[/C][C]29.746[/C][C]27.4932[/C][C]2.2528[/C][/ROW]
[ROW][C]108[/C][C]26.833[/C][C]26.6536[/C][C]0.179413[/C][/ROW]
[ROW][C]109[/C][C]29.928[/C][C]27.6279[/C][C]2.30012[/C][/ROW]
[ROW][C]110[/C][C]21.934[/C][C]20.5286[/C][C]1.4054[/C][/ROW]
[ROW][C]111[/C][C]23.239[/C][C]22.3956[/C][C]0.843367[/C][/ROW]
[ROW][C]112[/C][C]22.407[/C][C]25.0188[/C][C]-2.61177[/C][/ROW]
[ROW][C]113[/C][C]21.305[/C][C]20.7716[/C][C]0.533428[/C][/ROW]
[ROW][C]114[/C][C]23.671[/C][C]24.1009[/C][C]-0.429854[/C][/ROW]
[ROW][C]115[/C][C]21.864[/C][C]23.0361[/C][C]-1.17212[/C][/ROW]
[ROW][C]116[/C][C]23.693[/C][C]23.2313[/C][C]0.461744[/C][/ROW]
[ROW][C]117[/C][C]26.356[/C][C]24.9339[/C][C]1.42206[/C][/ROW]
[ROW][C]118[/C][C]25.69[/C][C]22.7762[/C][C]2.91376[/C][/ROW]
[ROW][C]119[/C][C]25.02[/C][C]24.3526[/C][C]0.667403[/C][/ROW]
[ROW][C]120[/C][C]24.581[/C][C]23.4193[/C][C]1.16169[/C][/ROW]
[ROW][C]121[/C][C]24.743[/C][C]24.3776[/C][C]0.365388[/C][/ROW]
[ROW][C]122[/C][C]27.166[/C][C]25.0434[/C][C]2.12265[/C][/ROW]
[ROW][C]123[/C][C]18.305[/C][C]19.2247[/C][C]-0.919732[/C][/ROW]
[ROW][C]124[/C][C]18.784[/C][C]19.4432[/C][C]-0.659205[/C][/ROW]
[ROW][C]125[/C][C]19.196[/C][C]20.0156[/C][C]-0.819564[/C][/ROW]
[ROW][C]126[/C][C]18.857[/C][C]20.1883[/C][C]-1.33126[/C][/ROW]
[ROW][C]127[/C][C]18.178[/C][C]20.3423[/C][C]-2.1643[/C][/ROW]
[ROW][C]128[/C][C]18.33[/C][C]19.9873[/C][C]-1.65728[/C][/ROW]
[ROW][C]129[/C][C]26.842[/C][C]24.4095[/C][C]2.43245[/C][/ROW]
[ROW][C]130[/C][C]26.369[/C][C]24.7267[/C][C]1.64228[/C][/ROW]
[ROW][C]131[/C][C]23.949[/C][C]23.5889[/C][C]0.360138[/C][/ROW]
[ROW][C]132[/C][C]26.017[/C][C]23.6192[/C][C]2.39783[/C][/ROW]
[ROW][C]133[/C][C]23.389[/C][C]23.8364[/C][C]-0.447406[/C][/ROW]
[ROW][C]134[/C][C]25.619[/C][C]25.2139[/C][C]0.405126[/C][/ROW]
[ROW][C]135[/C][C]17.06[/C][C]18.8078[/C][C]-1.74779[/C][/ROW]
[ROW][C]136[/C][C]17.707[/C][C]18.1152[/C][C]-0.40815[/C][/ROW]
[ROW][C]137[/C][C]19.013[/C][C]20.2493[/C][C]-1.23627[/C][/ROW]
[ROW][C]138[/C][C]16.747[/C][C]16.9743[/C][C]-0.227264[/C][/ROW]
[ROW][C]139[/C][C]17.366[/C][C]17.9993[/C][C]-0.633269[/C][/ROW]
[ROW][C]140[/C][C]18.801[/C][C]20.4379[/C][C]-1.63692[/C][/ROW]
[ROW][C]141[/C][C]18.54[/C][C]17.7436[/C][C]0.796358[/C][/ROW]
[ROW][C]142[/C][C]15.648[/C][C]14.6462[/C][C]1.00181[/C][/ROW]
[ROW][C]143[/C][C]18.702[/C][C]19.6201[/C][C]-0.918128[/C][/ROW]
[ROW][C]144[/C][C]18.687[/C][C]21.4609[/C][C]-2.77391[/C][/ROW]
[ROW][C]145[/C][C]20.68[/C][C]21.8709[/C][C]-1.19094[/C][/ROW]
[ROW][C]146[/C][C]20.366[/C][C]20.6004[/C][C]-0.234365[/C][/ROW]
[ROW][C]147[/C][C]12.359[/C][C]13.2786[/C][C]-0.919605[/C][/ROW]
[ROW][C]148[/C][C]14.367[/C][C]16.6034[/C][C]-2.23641[/C][/ROW]
[ROW][C]149[/C][C]12.298[/C][C]12.4631[/C][C]-0.165054[/C][/ROW]
[ROW][C]150[/C][C]14.989[/C][C]15.8744[/C][C]-0.885429[/C][/ROW]
[ROW][C]151[/C][C]12.529[/C][C]14.3987[/C][C]-1.86966[/C][/ROW]
[ROW][C]152[/C][C]8.441[/C][C]5.59106[/C][C]2.84994[/C][/ROW]
[ROW][C]153[/C][C]9.449[/C][C]7.2289[/C][C]2.2201[/C][/ROW]
[ROW][C]154[/C][C]21.52[/C][C]23.6868[/C][C]-2.16676[/C][/ROW]
[ROW][C]155[/C][C]21.824[/C][C]19.363[/C][C]2.46098[/C][/ROW]
[ROW][C]156[/C][C]22.431[/C][C]20.2237[/C][C]2.20731[/C][/ROW]
[ROW][C]157[/C][C]22.953[/C][C]19.9518[/C][C]3.00121[/C][/ROW]
[ROW][C]158[/C][C]19.075[/C][C]18.3569[/C][C]0.718056[/C][/ROW]
[ROW][C]159[/C][C]21.534[/C][C]19.0072[/C][C]2.52676[/C][/ROW]
[ROW][C]160[/C][C]19.651[/C][C]22.0077[/C][C]-2.35673[/C][/ROW]
[ROW][C]161[/C][C]20.437[/C][C]22.7397[/C][C]-2.30271[/C][/ROW]
[ROW][C]162[/C][C]19.388[/C][C]20.9681[/C][C]-1.58015[/C][/ROW]
[ROW][C]163[/C][C]18.954[/C][C]19.2187[/C][C]-0.26467[/C][/ROW]
[ROW][C]164[/C][C]21.219[/C][C]23.5587[/C][C]-2.33973[/C][/ROW]
[ROW][C]165[/C][C]18.447[/C][C]20.2972[/C][C]-1.85016[/C][/ROW]
[ROW][C]166[/C][C]24.078[/C][C]23.0899[/C][C]0.988083[/C][/ROW]
[ROW][C]167[/C][C]24.679[/C][C]27.1715[/C][C]-2.49245[/C][/ROW]
[ROW][C]168[/C][C]21.083[/C][C]25.0734[/C][C]-3.99043[/C][/ROW]
[ROW][C]169[/C][C]19.269[/C][C]21.7144[/C][C]-2.4454[/C][/ROW]
[ROW][C]170[/C][C]21.02[/C][C]23.5669[/C][C]-2.5469[/C][/ROW]
[ROW][C]171[/C][C]21.528[/C][C]23.0717[/C][C]-1.54367[/C][/ROW]
[ROW][C]172[/C][C]26.436[/C][C]26.376[/C][C]0.0599968[/C][/ROW]
[ROW][C]173[/C][C]26.55[/C][C]27.4208[/C][C]-0.870777[/C][/ROW]
[ROW][C]174[/C][C]26.547[/C][C]27.2817[/C][C]-0.734691[/C][/ROW]
[ROW][C]175[/C][C]25.445[/C][C]27.4044[/C][C]-1.95942[/C][/ROW]
[ROW][C]176[/C][C]26.005[/C][C]26.3427[/C][C]-0.337675[/C][/ROW]
[ROW][C]177[/C][C]26.143[/C][C]26.3369[/C][C]-0.193897[/C][/ROW]
[ROW][C]178[/C][C]24.151[/C][C]25.1355[/C][C]-0.984507[/C][/ROW]
[ROW][C]179[/C][C]24.412[/C][C]24.7503[/C][C]-0.338303[/C][/ROW]
[ROW][C]180[/C][C]23.683[/C][C]24.0148[/C][C]-0.331829[/C][/ROW]
[ROW][C]181[/C][C]23.133[/C][C]25.5345[/C][C]-2.40147[/C][/ROW]
[ROW][C]182[/C][C]22.866[/C][C]23.7518[/C][C]-0.885793[/C][/ROW]
[ROW][C]183[/C][C]23.008[/C][C]24.9307[/C][C]-1.9227[/C][/ROW]
[ROW][C]184[/C][C]23.079[/C][C]23.3603[/C][C]-0.281304[/C][/ROW]
[ROW][C]185[/C][C]22.085[/C][C]22.3128[/C][C]-0.227801[/C][/ROW]
[ROW][C]186[/C][C]24.199[/C][C]23.3735[/C][C]0.825451[/C][/ROW]
[ROW][C]187[/C][C]23.958[/C][C]24.5489[/C][C]-0.590924[/C][/ROW]
[ROW][C]188[/C][C]25.023[/C][C]24.9239[/C][C]0.0990985[/C][/ROW]
[ROW][C]189[/C][C]24.775[/C][C]24.7534[/C][C]0.0216134[/C][/ROW]
[ROW][C]190[/C][C]19.368[/C][C]20.2501[/C][C]-0.882056[/C][/ROW]
[ROW][C]191[/C][C]19.517[/C][C]19.9133[/C][C]-0.396279[/C][/ROW]
[ROW][C]192[/C][C]19.147[/C][C]20.588[/C][C]-1.44101[/C][/ROW]
[ROW][C]193[/C][C]17.883[/C][C]19.7288[/C][C]-1.8458[/C][/ROW]
[ROW][C]194[/C][C]19.02[/C][C]22.9544[/C][C]-3.93442[/C][/ROW]
[ROW][C]195[/C][C]21.209[/C][C]22.1582[/C][C]-0.949203[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=230059&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=230059&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 IndexActualsInterpolationForecastResidualsPrediction Error
121.03321.8147-0.781673
219.08517.881.205
320.65120.61420.0368069
420.64419.89770.7463
519.64917.84341.80562
621.37821.08110.296875
724.88623.96350.922532
826.89221.95724.93478
921.81222.8598-1.04783
1021.86222.7886-0.9266
1121.11823.2228-2.10478
1221.41421.9825-0.568495
1325.70325.13050.572493
1424.88925.1938-0.304784
1524.92224.11520.806816
1625.17522.79222.38279
1722.33322.7276-0.394585
1820.37618.79791.57806
1917.2816.23731.04271
2017.15319.2281-2.07515
2117.53617.6966-0.160588
2219.49319.15240.340568
2322.46818.51053.95752
2420.42219.8080.61399
2523.83123.7320.0990145
2622.06621.28560.780396
2725.90824.63231.27574
2825.11925.2575-0.138471
2925.9725.62280.347177
3025.67826.0542-0.376244
3126.77526.9769-0.20195
3230.9425.98244.95761
3330.77527.23213.54287
3432.68429.21773.46629
3533.04730.25942.78757
3631.73226.6495.08305
3723.21624.285-1.06901
3824.95124.9748-0.0238369
3926.73825.82710.910869
4026.3125.68790.622119
4126.82226.67030.15168
4226.45325.37171.08127
4322.73625.4329-2.69693
4423.14524.1229-0.977853
4525.36824.43910.928851
4625.03223.99071.04127
4724.60223.52451.07755
4826.80523.5213.28397
4923.16223.9941-0.832125
5024.97124.70330.267747
5125.13524.47180.663179
5225.0324.57020.45976
5324.69224.9847-0.292684
5425.42925.442-0.0129822
5521.02821.7066-0.678616
5620.76720.45650.310539
5721.42221.14160.280394
5822.81722.51630.300727
5922.60322.6618-0.0587932
6021.6621.6905-0.0305386
6125.55424.33351.22047
6226.13822.95023.1878
6325.85625.18950.666465
6425.96425.60910.354946
6526.41527.7039-1.28887
6624.54725.5631-1.01611
6719.5621.5225-1.96253
6819.97921.7009-1.72194
6920.33819.87480.463165
7021.71819.60082.11718
7120.26421.2394-0.975388
7218.5718.46750.10253
7325.74224.62531.11672
7424.17825.7637-1.58573
7525.43823.3662.07203
7625.19725.7988-0.601798
7723.3723.19080.179202
7825.8225.48690.333127
7921.87521.10860.766433
8019.219.648-0.447999
8119.05518.30980.7452
8219.65920.5354-0.876364
8320.53620.48140.0545529
8422.24420.94981.29421
8513.89316.0439-2.15089
8616.17617.5715-1.39555
8715.92419.4839-3.55991
8813.92214.1213-0.199258
8914.73914.18360.555383
9011.86613.5734-1.70741
9111.74411.61740.12656
9219.66417.43732.22673
9318.7819.8437-1.06371
9420.96919.48741.48159
9522.21921.59850.620478
9621.69322.352-0.658954
9722.66324.0394-1.37638
9815.33816.9803-1.64227
9915.43318.3378-2.90478
10012.43513.034-0.598997
1018.8677.153691.71331
10215.0615.4178-0.357798
10310.4898.468952.02005
10426.75927.5678-0.808786
10528.40928.97-0.561001
10627.42127.5432-0.122225
10729.74627.49322.2528
10826.83326.65360.179413
10929.92827.62792.30012
11021.93420.52861.4054
11123.23922.39560.843367
11222.40725.0188-2.61177
11321.30520.77160.533428
11423.67124.1009-0.429854
11521.86423.0361-1.17212
11623.69323.23130.461744
11726.35624.93391.42206
11825.6922.77622.91376
11925.0224.35260.667403
12024.58123.41931.16169
12124.74324.37760.365388
12227.16625.04342.12265
12318.30519.2247-0.919732
12418.78419.4432-0.659205
12519.19620.0156-0.819564
12618.85720.1883-1.33126
12718.17820.3423-2.1643
12818.3319.9873-1.65728
12926.84224.40952.43245
13026.36924.72671.64228
13123.94923.58890.360138
13226.01723.61922.39783
13323.38923.8364-0.447406
13425.61925.21390.405126
13517.0618.8078-1.74779
13617.70718.1152-0.40815
13719.01320.2493-1.23627
13816.74716.9743-0.227264
13917.36617.9993-0.633269
14018.80120.4379-1.63692
14118.5417.74360.796358
14215.64814.64621.00181
14318.70219.6201-0.918128
14418.68721.4609-2.77391
14520.6821.8709-1.19094
14620.36620.6004-0.234365
14712.35913.2786-0.919605
14814.36716.6034-2.23641
14912.29812.4631-0.165054
15014.98915.8744-0.885429
15112.52914.3987-1.86966
1528.4415.591062.84994
1539.4497.22892.2201
15421.5223.6868-2.16676
15521.82419.3632.46098
15622.43120.22372.20731
15722.95319.95183.00121
15819.07518.35690.718056
15921.53419.00722.52676
16019.65122.0077-2.35673
16120.43722.7397-2.30271
16219.38820.9681-1.58015
16318.95419.2187-0.26467
16421.21923.5587-2.33973
16518.44720.2972-1.85016
16624.07823.08990.988083
16724.67927.1715-2.49245
16821.08325.0734-3.99043
16919.26921.7144-2.4454
17021.0223.5669-2.5469
17121.52823.0717-1.54367
17226.43626.3760.0599968
17326.5527.4208-0.870777
17426.54727.2817-0.734691
17525.44527.4044-1.95942
17626.00526.3427-0.337675
17726.14326.3369-0.193897
17824.15125.1355-0.984507
17924.41224.7503-0.338303
18023.68324.0148-0.331829
18123.13325.5345-2.40147
18222.86623.7518-0.885793
18323.00824.9307-1.9227
18423.07923.3603-0.281304
18522.08522.3128-0.227801
18624.19923.37350.825451
18723.95824.5489-0.590924
18825.02324.92390.0990985
18924.77524.75340.0216134
19019.36820.2501-0.882056
19119.51719.9133-0.396279
19219.14720.588-1.44101
19317.88319.7288-1.8458
19419.0222.9544-3.93442
19521.20922.1582-0.949203







Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
260.2456860.4913720.754314
270.1648860.3297730.835114
280.08467090.1693420.915329
290.09452460.1890490.905475
300.05068870.1013770.949311
310.02471840.04943680.975282
320.1396490.2792990.860351
330.1641990.3283980.835801
340.2810910.5621820.718909
350.2722810.5445630.727719
360.2813180.5626360.718682
370.2163350.432670.783665
380.1789760.3579520.821024
390.1353550.2707110.864645
400.1055060.2110120.894494
410.07513830.1502770.924862
420.07150450.1430090.928496
430.3741610.7483220.625839
440.3300220.6600430.669978
450.3306620.6613230.669338
460.2834540.5669070.716546
470.2460750.492150.753925
480.3121860.6243730.687814
490.669950.6600990.33005
500.6294770.7410470.370523
510.5967090.8065810.403291
520.5508980.8982040.449102
530.4988090.9976180.501191
540.447720.8954390.55228
550.3922160.7844310.607784
560.3821650.764330.617835
570.3372950.6745910.662705
580.2959980.5919960.704002
590.2638660.5277330.736134
600.2431380.4862750.756862
610.3561150.7122310.643885
620.553160.8936810.44684
630.6028010.7943990.397199
640.5956340.8087310.404366
650.6531780.6936450.346822
660.7619630.4760740.238037
670.7778460.4443070.222154
680.7588410.4823180.241159
690.8541880.2916240.145812
700.8287230.3425550.171277
710.8050550.3898910.194945
720.7731410.4537180.226859
730.7510460.4979090.248954
740.7570460.4859080.242954
750.7724020.4551970.227598
760.736470.5270590.26353
770.6964840.6070330.303516
780.6718640.6562730.328136
790.6688190.6623630.331181
800.6305060.7389880.369494
810.6009240.7981520.399076
820.5669020.8661960.433098
830.5353010.9293970.464699
840.5420130.9159730.457987
850.5678950.864210.432105
860.5607220.8785550.439278
870.6283940.7432120.371606
880.60940.7812010.3906
890.5955650.808870.404435
900.6672740.6654520.332726
910.6976940.6046110.302306
920.7611180.4777650.238882
930.7444890.5110220.255511
940.7679650.4640710.232035
950.7605120.4789760.239488
960.7305530.5388940.269447
970.7169460.5661080.283054
980.802050.39590.19795
990.8223840.3552330.177616
1000.8522660.2954680.147734
1010.9345430.1309150.0654574
1020.9215790.1568420.0784211
1030.9217510.1564980.0782492
1040.9060340.1879320.0939659
1050.8871250.2257490.112875
1060.8751010.2497980.124899
1070.9111170.1777670.0888834
1080.8968240.2063520.103176
1090.9321480.1357040.067852
1100.9375430.1249150.0624575
1110.9284010.1431990.0715993
1120.9331750.1336510.0668254
1130.9168850.1662290.0831147
1140.9072990.1854030.0927014
1150.8886850.222630.111315
1160.8654160.2691680.134584
1170.8566390.2867230.143361
1180.9030110.1939790.0969895
1190.8912770.2174460.108723
1200.8852220.2295570.114778
1210.8785410.2429180.121459
1220.9054790.1890410.0945207
1230.8937940.2124130.106206
1240.8782280.2435450.121772
1250.8598640.2802730.140136
1260.8421470.3157060.157853
1270.8414610.3170770.158539
1280.8182130.3635750.181787
1290.907770.1844590.0922295
1300.9098810.1802380.0901189
1310.8870090.2259810.112991
1320.9088090.1823830.0911913
1330.8882970.2234060.111703
1340.8867980.2264050.113202
1350.8694470.2611050.130553
1360.8522280.2955440.147772
1370.8321640.3356730.167836
1380.8304670.3390650.169533
1390.821190.357620.17881
1400.9208970.1582060.0791031
1410.9000730.1998530.0999266
1420.9006110.1987770.0993886
1430.8734830.2530340.126517
1440.8674180.2651650.132582
1450.8567250.2865510.143275
1460.8295060.3409870.170494
1470.7859180.4281650.214082
1480.8187440.3625120.181256
1490.9622370.07552610.0377631
1500.9468580.1062850.0531424
1510.9268010.1463980.0731988
1520.9328330.1343340.0671671
1530.9997070.0005866790.00029334
1540.9994340.001131150.000565577
1550.9994810.00103740.000518699
1560.9990210.001957690.000978844
1570.9996650.0006702050.000335102
1580.9992060.001588020.000794009
1590.9999911.77914e-058.89572e-06
1600.9999735.33338e-052.66669e-05
1610.9999519.78115e-054.89058e-05
1620.9998420.0003153770.000157688
1630.9997570.0004865590.000243279
1640.9992510.001497190.000748596
1650.9977930.004414620.00220731
1660.9990490.001901170.000950584
1670.9998720.0002567850.000128393
1680.9996710.0006581930.000329096
1690.9993440.001311850.000655927

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
26 & 0.245686 & 0.491372 & 0.754314 \tabularnewline
27 & 0.164886 & 0.329773 & 0.835114 \tabularnewline
28 & 0.0846709 & 0.169342 & 0.915329 \tabularnewline
29 & 0.0945246 & 0.189049 & 0.905475 \tabularnewline
30 & 0.0506887 & 0.101377 & 0.949311 \tabularnewline
31 & 0.0247184 & 0.0494368 & 0.975282 \tabularnewline
32 & 0.139649 & 0.279299 & 0.860351 \tabularnewline
33 & 0.164199 & 0.328398 & 0.835801 \tabularnewline
34 & 0.281091 & 0.562182 & 0.718909 \tabularnewline
35 & 0.272281 & 0.544563 & 0.727719 \tabularnewline
36 & 0.281318 & 0.562636 & 0.718682 \tabularnewline
37 & 0.216335 & 0.43267 & 0.783665 \tabularnewline
38 & 0.178976 & 0.357952 & 0.821024 \tabularnewline
39 & 0.135355 & 0.270711 & 0.864645 \tabularnewline
40 & 0.105506 & 0.211012 & 0.894494 \tabularnewline
41 & 0.0751383 & 0.150277 & 0.924862 \tabularnewline
42 & 0.0715045 & 0.143009 & 0.928496 \tabularnewline
43 & 0.374161 & 0.748322 & 0.625839 \tabularnewline
44 & 0.330022 & 0.660043 & 0.669978 \tabularnewline
45 & 0.330662 & 0.661323 & 0.669338 \tabularnewline
46 & 0.283454 & 0.566907 & 0.716546 \tabularnewline
47 & 0.246075 & 0.49215 & 0.753925 \tabularnewline
48 & 0.312186 & 0.624373 & 0.687814 \tabularnewline
49 & 0.66995 & 0.660099 & 0.33005 \tabularnewline
50 & 0.629477 & 0.741047 & 0.370523 \tabularnewline
51 & 0.596709 & 0.806581 & 0.403291 \tabularnewline
52 & 0.550898 & 0.898204 & 0.449102 \tabularnewline
53 & 0.498809 & 0.997618 & 0.501191 \tabularnewline
54 & 0.44772 & 0.895439 & 0.55228 \tabularnewline
55 & 0.392216 & 0.784431 & 0.607784 \tabularnewline
56 & 0.382165 & 0.76433 & 0.617835 \tabularnewline
57 & 0.337295 & 0.674591 & 0.662705 \tabularnewline
58 & 0.295998 & 0.591996 & 0.704002 \tabularnewline
59 & 0.263866 & 0.527733 & 0.736134 \tabularnewline
60 & 0.243138 & 0.486275 & 0.756862 \tabularnewline
61 & 0.356115 & 0.712231 & 0.643885 \tabularnewline
62 & 0.55316 & 0.893681 & 0.44684 \tabularnewline
63 & 0.602801 & 0.794399 & 0.397199 \tabularnewline
64 & 0.595634 & 0.808731 & 0.404366 \tabularnewline
65 & 0.653178 & 0.693645 & 0.346822 \tabularnewline
66 & 0.761963 & 0.476074 & 0.238037 \tabularnewline
67 & 0.777846 & 0.444307 & 0.222154 \tabularnewline
68 & 0.758841 & 0.482318 & 0.241159 \tabularnewline
69 & 0.854188 & 0.291624 & 0.145812 \tabularnewline
70 & 0.828723 & 0.342555 & 0.171277 \tabularnewline
71 & 0.805055 & 0.389891 & 0.194945 \tabularnewline
72 & 0.773141 & 0.453718 & 0.226859 \tabularnewline
73 & 0.751046 & 0.497909 & 0.248954 \tabularnewline
74 & 0.757046 & 0.485908 & 0.242954 \tabularnewline
75 & 0.772402 & 0.455197 & 0.227598 \tabularnewline
76 & 0.73647 & 0.527059 & 0.26353 \tabularnewline
77 & 0.696484 & 0.607033 & 0.303516 \tabularnewline
78 & 0.671864 & 0.656273 & 0.328136 \tabularnewline
79 & 0.668819 & 0.662363 & 0.331181 \tabularnewline
80 & 0.630506 & 0.738988 & 0.369494 \tabularnewline
81 & 0.600924 & 0.798152 & 0.399076 \tabularnewline
82 & 0.566902 & 0.866196 & 0.433098 \tabularnewline
83 & 0.535301 & 0.929397 & 0.464699 \tabularnewline
84 & 0.542013 & 0.915973 & 0.457987 \tabularnewline
85 & 0.567895 & 0.86421 & 0.432105 \tabularnewline
86 & 0.560722 & 0.878555 & 0.439278 \tabularnewline
87 & 0.628394 & 0.743212 & 0.371606 \tabularnewline
88 & 0.6094 & 0.781201 & 0.3906 \tabularnewline
89 & 0.595565 & 0.80887 & 0.404435 \tabularnewline
90 & 0.667274 & 0.665452 & 0.332726 \tabularnewline
91 & 0.697694 & 0.604611 & 0.302306 \tabularnewline
92 & 0.761118 & 0.477765 & 0.238882 \tabularnewline
93 & 0.744489 & 0.511022 & 0.255511 \tabularnewline
94 & 0.767965 & 0.464071 & 0.232035 \tabularnewline
95 & 0.760512 & 0.478976 & 0.239488 \tabularnewline
96 & 0.730553 & 0.538894 & 0.269447 \tabularnewline
97 & 0.716946 & 0.566108 & 0.283054 \tabularnewline
98 & 0.80205 & 0.3959 & 0.19795 \tabularnewline
99 & 0.822384 & 0.355233 & 0.177616 \tabularnewline
100 & 0.852266 & 0.295468 & 0.147734 \tabularnewline
101 & 0.934543 & 0.130915 & 0.0654574 \tabularnewline
102 & 0.921579 & 0.156842 & 0.0784211 \tabularnewline
103 & 0.921751 & 0.156498 & 0.0782492 \tabularnewline
104 & 0.906034 & 0.187932 & 0.0939659 \tabularnewline
105 & 0.887125 & 0.225749 & 0.112875 \tabularnewline
106 & 0.875101 & 0.249798 & 0.124899 \tabularnewline
107 & 0.911117 & 0.177767 & 0.0888834 \tabularnewline
108 & 0.896824 & 0.206352 & 0.103176 \tabularnewline
109 & 0.932148 & 0.135704 & 0.067852 \tabularnewline
110 & 0.937543 & 0.124915 & 0.0624575 \tabularnewline
111 & 0.928401 & 0.143199 & 0.0715993 \tabularnewline
112 & 0.933175 & 0.133651 & 0.0668254 \tabularnewline
113 & 0.916885 & 0.166229 & 0.0831147 \tabularnewline
114 & 0.907299 & 0.185403 & 0.0927014 \tabularnewline
115 & 0.888685 & 0.22263 & 0.111315 \tabularnewline
116 & 0.865416 & 0.269168 & 0.134584 \tabularnewline
117 & 0.856639 & 0.286723 & 0.143361 \tabularnewline
118 & 0.903011 & 0.193979 & 0.0969895 \tabularnewline
119 & 0.891277 & 0.217446 & 0.108723 \tabularnewline
120 & 0.885222 & 0.229557 & 0.114778 \tabularnewline
121 & 0.878541 & 0.242918 & 0.121459 \tabularnewline
122 & 0.905479 & 0.189041 & 0.0945207 \tabularnewline
123 & 0.893794 & 0.212413 & 0.106206 \tabularnewline
124 & 0.878228 & 0.243545 & 0.121772 \tabularnewline
125 & 0.859864 & 0.280273 & 0.140136 \tabularnewline
126 & 0.842147 & 0.315706 & 0.157853 \tabularnewline
127 & 0.841461 & 0.317077 & 0.158539 \tabularnewline
128 & 0.818213 & 0.363575 & 0.181787 \tabularnewline
129 & 0.90777 & 0.184459 & 0.0922295 \tabularnewline
130 & 0.909881 & 0.180238 & 0.0901189 \tabularnewline
131 & 0.887009 & 0.225981 & 0.112991 \tabularnewline
132 & 0.908809 & 0.182383 & 0.0911913 \tabularnewline
133 & 0.888297 & 0.223406 & 0.111703 \tabularnewline
134 & 0.886798 & 0.226405 & 0.113202 \tabularnewline
135 & 0.869447 & 0.261105 & 0.130553 \tabularnewline
136 & 0.852228 & 0.295544 & 0.147772 \tabularnewline
137 & 0.832164 & 0.335673 & 0.167836 \tabularnewline
138 & 0.830467 & 0.339065 & 0.169533 \tabularnewline
139 & 0.82119 & 0.35762 & 0.17881 \tabularnewline
140 & 0.920897 & 0.158206 & 0.0791031 \tabularnewline
141 & 0.900073 & 0.199853 & 0.0999266 \tabularnewline
142 & 0.900611 & 0.198777 & 0.0993886 \tabularnewline
143 & 0.873483 & 0.253034 & 0.126517 \tabularnewline
144 & 0.867418 & 0.265165 & 0.132582 \tabularnewline
145 & 0.856725 & 0.286551 & 0.143275 \tabularnewline
146 & 0.829506 & 0.340987 & 0.170494 \tabularnewline
147 & 0.785918 & 0.428165 & 0.214082 \tabularnewline
148 & 0.818744 & 0.362512 & 0.181256 \tabularnewline
149 & 0.962237 & 0.0755261 & 0.0377631 \tabularnewline
150 & 0.946858 & 0.106285 & 0.0531424 \tabularnewline
151 & 0.926801 & 0.146398 & 0.0731988 \tabularnewline
152 & 0.932833 & 0.134334 & 0.0671671 \tabularnewline
153 & 0.999707 & 0.000586679 & 0.00029334 \tabularnewline
154 & 0.999434 & 0.00113115 & 0.000565577 \tabularnewline
155 & 0.999481 & 0.0010374 & 0.000518699 \tabularnewline
156 & 0.999021 & 0.00195769 & 0.000978844 \tabularnewline
157 & 0.999665 & 0.000670205 & 0.000335102 \tabularnewline
158 & 0.999206 & 0.00158802 & 0.000794009 \tabularnewline
159 & 0.999991 & 1.77914e-05 & 8.89572e-06 \tabularnewline
160 & 0.999973 & 5.33338e-05 & 2.66669e-05 \tabularnewline
161 & 0.999951 & 9.78115e-05 & 4.89058e-05 \tabularnewline
162 & 0.999842 & 0.000315377 & 0.000157688 \tabularnewline
163 & 0.999757 & 0.000486559 & 0.000243279 \tabularnewline
164 & 0.999251 & 0.00149719 & 0.000748596 \tabularnewline
165 & 0.997793 & 0.00441462 & 0.00220731 \tabularnewline
166 & 0.999049 & 0.00190117 & 0.000950584 \tabularnewline
167 & 0.999872 & 0.000256785 & 0.000128393 \tabularnewline
168 & 0.999671 & 0.000658193 & 0.000329096 \tabularnewline
169 & 0.999344 & 0.00131185 & 0.000655927 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=230059&T=5

[TABLE]
[ROW][C]Goldfeld-Quandt test for Heteroskedasticity[/C][/ROW]
[ROW][C]p-values[/C][C]Alternative Hypothesis[/C][/ROW]
[ROW][C]breakpoint index[/C][C]greater[/C][C]2-sided[/C][C]less[/C][/ROW]
[ROW][C]26[/C][C]0.245686[/C][C]0.491372[/C][C]0.754314[/C][/ROW]
[ROW][C]27[/C][C]0.164886[/C][C]0.329773[/C][C]0.835114[/C][/ROW]
[ROW][C]28[/C][C]0.0846709[/C][C]0.169342[/C][C]0.915329[/C][/ROW]
[ROW][C]29[/C][C]0.0945246[/C][C]0.189049[/C][C]0.905475[/C][/ROW]
[ROW][C]30[/C][C]0.0506887[/C][C]0.101377[/C][C]0.949311[/C][/ROW]
[ROW][C]31[/C][C]0.0247184[/C][C]0.0494368[/C][C]0.975282[/C][/ROW]
[ROW][C]32[/C][C]0.139649[/C][C]0.279299[/C][C]0.860351[/C][/ROW]
[ROW][C]33[/C][C]0.164199[/C][C]0.328398[/C][C]0.835801[/C][/ROW]
[ROW][C]34[/C][C]0.281091[/C][C]0.562182[/C][C]0.718909[/C][/ROW]
[ROW][C]35[/C][C]0.272281[/C][C]0.544563[/C][C]0.727719[/C][/ROW]
[ROW][C]36[/C][C]0.281318[/C][C]0.562636[/C][C]0.718682[/C][/ROW]
[ROW][C]37[/C][C]0.216335[/C][C]0.43267[/C][C]0.783665[/C][/ROW]
[ROW][C]38[/C][C]0.178976[/C][C]0.357952[/C][C]0.821024[/C][/ROW]
[ROW][C]39[/C][C]0.135355[/C][C]0.270711[/C][C]0.864645[/C][/ROW]
[ROW][C]40[/C][C]0.105506[/C][C]0.211012[/C][C]0.894494[/C][/ROW]
[ROW][C]41[/C][C]0.0751383[/C][C]0.150277[/C][C]0.924862[/C][/ROW]
[ROW][C]42[/C][C]0.0715045[/C][C]0.143009[/C][C]0.928496[/C][/ROW]
[ROW][C]43[/C][C]0.374161[/C][C]0.748322[/C][C]0.625839[/C][/ROW]
[ROW][C]44[/C][C]0.330022[/C][C]0.660043[/C][C]0.669978[/C][/ROW]
[ROW][C]45[/C][C]0.330662[/C][C]0.661323[/C][C]0.669338[/C][/ROW]
[ROW][C]46[/C][C]0.283454[/C][C]0.566907[/C][C]0.716546[/C][/ROW]
[ROW][C]47[/C][C]0.246075[/C][C]0.49215[/C][C]0.753925[/C][/ROW]
[ROW][C]48[/C][C]0.312186[/C][C]0.624373[/C][C]0.687814[/C][/ROW]
[ROW][C]49[/C][C]0.66995[/C][C]0.660099[/C][C]0.33005[/C][/ROW]
[ROW][C]50[/C][C]0.629477[/C][C]0.741047[/C][C]0.370523[/C][/ROW]
[ROW][C]51[/C][C]0.596709[/C][C]0.806581[/C][C]0.403291[/C][/ROW]
[ROW][C]52[/C][C]0.550898[/C][C]0.898204[/C][C]0.449102[/C][/ROW]
[ROW][C]53[/C][C]0.498809[/C][C]0.997618[/C][C]0.501191[/C][/ROW]
[ROW][C]54[/C][C]0.44772[/C][C]0.895439[/C][C]0.55228[/C][/ROW]
[ROW][C]55[/C][C]0.392216[/C][C]0.784431[/C][C]0.607784[/C][/ROW]
[ROW][C]56[/C][C]0.382165[/C][C]0.76433[/C][C]0.617835[/C][/ROW]
[ROW][C]57[/C][C]0.337295[/C][C]0.674591[/C][C]0.662705[/C][/ROW]
[ROW][C]58[/C][C]0.295998[/C][C]0.591996[/C][C]0.704002[/C][/ROW]
[ROW][C]59[/C][C]0.263866[/C][C]0.527733[/C][C]0.736134[/C][/ROW]
[ROW][C]60[/C][C]0.243138[/C][C]0.486275[/C][C]0.756862[/C][/ROW]
[ROW][C]61[/C][C]0.356115[/C][C]0.712231[/C][C]0.643885[/C][/ROW]
[ROW][C]62[/C][C]0.55316[/C][C]0.893681[/C][C]0.44684[/C][/ROW]
[ROW][C]63[/C][C]0.602801[/C][C]0.794399[/C][C]0.397199[/C][/ROW]
[ROW][C]64[/C][C]0.595634[/C][C]0.808731[/C][C]0.404366[/C][/ROW]
[ROW][C]65[/C][C]0.653178[/C][C]0.693645[/C][C]0.346822[/C][/ROW]
[ROW][C]66[/C][C]0.761963[/C][C]0.476074[/C][C]0.238037[/C][/ROW]
[ROW][C]67[/C][C]0.777846[/C][C]0.444307[/C][C]0.222154[/C][/ROW]
[ROW][C]68[/C][C]0.758841[/C][C]0.482318[/C][C]0.241159[/C][/ROW]
[ROW][C]69[/C][C]0.854188[/C][C]0.291624[/C][C]0.145812[/C][/ROW]
[ROW][C]70[/C][C]0.828723[/C][C]0.342555[/C][C]0.171277[/C][/ROW]
[ROW][C]71[/C][C]0.805055[/C][C]0.389891[/C][C]0.194945[/C][/ROW]
[ROW][C]72[/C][C]0.773141[/C][C]0.453718[/C][C]0.226859[/C][/ROW]
[ROW][C]73[/C][C]0.751046[/C][C]0.497909[/C][C]0.248954[/C][/ROW]
[ROW][C]74[/C][C]0.757046[/C][C]0.485908[/C][C]0.242954[/C][/ROW]
[ROW][C]75[/C][C]0.772402[/C][C]0.455197[/C][C]0.227598[/C][/ROW]
[ROW][C]76[/C][C]0.73647[/C][C]0.527059[/C][C]0.26353[/C][/ROW]
[ROW][C]77[/C][C]0.696484[/C][C]0.607033[/C][C]0.303516[/C][/ROW]
[ROW][C]78[/C][C]0.671864[/C][C]0.656273[/C][C]0.328136[/C][/ROW]
[ROW][C]79[/C][C]0.668819[/C][C]0.662363[/C][C]0.331181[/C][/ROW]
[ROW][C]80[/C][C]0.630506[/C][C]0.738988[/C][C]0.369494[/C][/ROW]
[ROW][C]81[/C][C]0.600924[/C][C]0.798152[/C][C]0.399076[/C][/ROW]
[ROW][C]82[/C][C]0.566902[/C][C]0.866196[/C][C]0.433098[/C][/ROW]
[ROW][C]83[/C][C]0.535301[/C][C]0.929397[/C][C]0.464699[/C][/ROW]
[ROW][C]84[/C][C]0.542013[/C][C]0.915973[/C][C]0.457987[/C][/ROW]
[ROW][C]85[/C][C]0.567895[/C][C]0.86421[/C][C]0.432105[/C][/ROW]
[ROW][C]86[/C][C]0.560722[/C][C]0.878555[/C][C]0.439278[/C][/ROW]
[ROW][C]87[/C][C]0.628394[/C][C]0.743212[/C][C]0.371606[/C][/ROW]
[ROW][C]88[/C][C]0.6094[/C][C]0.781201[/C][C]0.3906[/C][/ROW]
[ROW][C]89[/C][C]0.595565[/C][C]0.80887[/C][C]0.404435[/C][/ROW]
[ROW][C]90[/C][C]0.667274[/C][C]0.665452[/C][C]0.332726[/C][/ROW]
[ROW][C]91[/C][C]0.697694[/C][C]0.604611[/C][C]0.302306[/C][/ROW]
[ROW][C]92[/C][C]0.761118[/C][C]0.477765[/C][C]0.238882[/C][/ROW]
[ROW][C]93[/C][C]0.744489[/C][C]0.511022[/C][C]0.255511[/C][/ROW]
[ROW][C]94[/C][C]0.767965[/C][C]0.464071[/C][C]0.232035[/C][/ROW]
[ROW][C]95[/C][C]0.760512[/C][C]0.478976[/C][C]0.239488[/C][/ROW]
[ROW][C]96[/C][C]0.730553[/C][C]0.538894[/C][C]0.269447[/C][/ROW]
[ROW][C]97[/C][C]0.716946[/C][C]0.566108[/C][C]0.283054[/C][/ROW]
[ROW][C]98[/C][C]0.80205[/C][C]0.3959[/C][C]0.19795[/C][/ROW]
[ROW][C]99[/C][C]0.822384[/C][C]0.355233[/C][C]0.177616[/C][/ROW]
[ROW][C]100[/C][C]0.852266[/C][C]0.295468[/C][C]0.147734[/C][/ROW]
[ROW][C]101[/C][C]0.934543[/C][C]0.130915[/C][C]0.0654574[/C][/ROW]
[ROW][C]102[/C][C]0.921579[/C][C]0.156842[/C][C]0.0784211[/C][/ROW]
[ROW][C]103[/C][C]0.921751[/C][C]0.156498[/C][C]0.0782492[/C][/ROW]
[ROW][C]104[/C][C]0.906034[/C][C]0.187932[/C][C]0.0939659[/C][/ROW]
[ROW][C]105[/C][C]0.887125[/C][C]0.225749[/C][C]0.112875[/C][/ROW]
[ROW][C]106[/C][C]0.875101[/C][C]0.249798[/C][C]0.124899[/C][/ROW]
[ROW][C]107[/C][C]0.911117[/C][C]0.177767[/C][C]0.0888834[/C][/ROW]
[ROW][C]108[/C][C]0.896824[/C][C]0.206352[/C][C]0.103176[/C][/ROW]
[ROW][C]109[/C][C]0.932148[/C][C]0.135704[/C][C]0.067852[/C][/ROW]
[ROW][C]110[/C][C]0.937543[/C][C]0.124915[/C][C]0.0624575[/C][/ROW]
[ROW][C]111[/C][C]0.928401[/C][C]0.143199[/C][C]0.0715993[/C][/ROW]
[ROW][C]112[/C][C]0.933175[/C][C]0.133651[/C][C]0.0668254[/C][/ROW]
[ROW][C]113[/C][C]0.916885[/C][C]0.166229[/C][C]0.0831147[/C][/ROW]
[ROW][C]114[/C][C]0.907299[/C][C]0.185403[/C][C]0.0927014[/C][/ROW]
[ROW][C]115[/C][C]0.888685[/C][C]0.22263[/C][C]0.111315[/C][/ROW]
[ROW][C]116[/C][C]0.865416[/C][C]0.269168[/C][C]0.134584[/C][/ROW]
[ROW][C]117[/C][C]0.856639[/C][C]0.286723[/C][C]0.143361[/C][/ROW]
[ROW][C]118[/C][C]0.903011[/C][C]0.193979[/C][C]0.0969895[/C][/ROW]
[ROW][C]119[/C][C]0.891277[/C][C]0.217446[/C][C]0.108723[/C][/ROW]
[ROW][C]120[/C][C]0.885222[/C][C]0.229557[/C][C]0.114778[/C][/ROW]
[ROW][C]121[/C][C]0.878541[/C][C]0.242918[/C][C]0.121459[/C][/ROW]
[ROW][C]122[/C][C]0.905479[/C][C]0.189041[/C][C]0.0945207[/C][/ROW]
[ROW][C]123[/C][C]0.893794[/C][C]0.212413[/C][C]0.106206[/C][/ROW]
[ROW][C]124[/C][C]0.878228[/C][C]0.243545[/C][C]0.121772[/C][/ROW]
[ROW][C]125[/C][C]0.859864[/C][C]0.280273[/C][C]0.140136[/C][/ROW]
[ROW][C]126[/C][C]0.842147[/C][C]0.315706[/C][C]0.157853[/C][/ROW]
[ROW][C]127[/C][C]0.841461[/C][C]0.317077[/C][C]0.158539[/C][/ROW]
[ROW][C]128[/C][C]0.818213[/C][C]0.363575[/C][C]0.181787[/C][/ROW]
[ROW][C]129[/C][C]0.90777[/C][C]0.184459[/C][C]0.0922295[/C][/ROW]
[ROW][C]130[/C][C]0.909881[/C][C]0.180238[/C][C]0.0901189[/C][/ROW]
[ROW][C]131[/C][C]0.887009[/C][C]0.225981[/C][C]0.112991[/C][/ROW]
[ROW][C]132[/C][C]0.908809[/C][C]0.182383[/C][C]0.0911913[/C][/ROW]
[ROW][C]133[/C][C]0.888297[/C][C]0.223406[/C][C]0.111703[/C][/ROW]
[ROW][C]134[/C][C]0.886798[/C][C]0.226405[/C][C]0.113202[/C][/ROW]
[ROW][C]135[/C][C]0.869447[/C][C]0.261105[/C][C]0.130553[/C][/ROW]
[ROW][C]136[/C][C]0.852228[/C][C]0.295544[/C][C]0.147772[/C][/ROW]
[ROW][C]137[/C][C]0.832164[/C][C]0.335673[/C][C]0.167836[/C][/ROW]
[ROW][C]138[/C][C]0.830467[/C][C]0.339065[/C][C]0.169533[/C][/ROW]
[ROW][C]139[/C][C]0.82119[/C][C]0.35762[/C][C]0.17881[/C][/ROW]
[ROW][C]140[/C][C]0.920897[/C][C]0.158206[/C][C]0.0791031[/C][/ROW]
[ROW][C]141[/C][C]0.900073[/C][C]0.199853[/C][C]0.0999266[/C][/ROW]
[ROW][C]142[/C][C]0.900611[/C][C]0.198777[/C][C]0.0993886[/C][/ROW]
[ROW][C]143[/C][C]0.873483[/C][C]0.253034[/C][C]0.126517[/C][/ROW]
[ROW][C]144[/C][C]0.867418[/C][C]0.265165[/C][C]0.132582[/C][/ROW]
[ROW][C]145[/C][C]0.856725[/C][C]0.286551[/C][C]0.143275[/C][/ROW]
[ROW][C]146[/C][C]0.829506[/C][C]0.340987[/C][C]0.170494[/C][/ROW]
[ROW][C]147[/C][C]0.785918[/C][C]0.428165[/C][C]0.214082[/C][/ROW]
[ROW][C]148[/C][C]0.818744[/C][C]0.362512[/C][C]0.181256[/C][/ROW]
[ROW][C]149[/C][C]0.962237[/C][C]0.0755261[/C][C]0.0377631[/C][/ROW]
[ROW][C]150[/C][C]0.946858[/C][C]0.106285[/C][C]0.0531424[/C][/ROW]
[ROW][C]151[/C][C]0.926801[/C][C]0.146398[/C][C]0.0731988[/C][/ROW]
[ROW][C]152[/C][C]0.932833[/C][C]0.134334[/C][C]0.0671671[/C][/ROW]
[ROW][C]153[/C][C]0.999707[/C][C]0.000586679[/C][C]0.00029334[/C][/ROW]
[ROW][C]154[/C][C]0.999434[/C][C]0.00113115[/C][C]0.000565577[/C][/ROW]
[ROW][C]155[/C][C]0.999481[/C][C]0.0010374[/C][C]0.000518699[/C][/ROW]
[ROW][C]156[/C][C]0.999021[/C][C]0.00195769[/C][C]0.000978844[/C][/ROW]
[ROW][C]157[/C][C]0.999665[/C][C]0.000670205[/C][C]0.000335102[/C][/ROW]
[ROW][C]158[/C][C]0.999206[/C][C]0.00158802[/C][C]0.000794009[/C][/ROW]
[ROW][C]159[/C][C]0.999991[/C][C]1.77914e-05[/C][C]8.89572e-06[/C][/ROW]
[ROW][C]160[/C][C]0.999973[/C][C]5.33338e-05[/C][C]2.66669e-05[/C][/ROW]
[ROW][C]161[/C][C]0.999951[/C][C]9.78115e-05[/C][C]4.89058e-05[/C][/ROW]
[ROW][C]162[/C][C]0.999842[/C][C]0.000315377[/C][C]0.000157688[/C][/ROW]
[ROW][C]163[/C][C]0.999757[/C][C]0.000486559[/C][C]0.000243279[/C][/ROW]
[ROW][C]164[/C][C]0.999251[/C][C]0.00149719[/C][C]0.000748596[/C][/ROW]
[ROW][C]165[/C][C]0.997793[/C][C]0.00441462[/C][C]0.00220731[/C][/ROW]
[ROW][C]166[/C][C]0.999049[/C][C]0.00190117[/C][C]0.000950584[/C][/ROW]
[ROW][C]167[/C][C]0.999872[/C][C]0.000256785[/C][C]0.000128393[/C][/ROW]
[ROW][C]168[/C][C]0.999671[/C][C]0.000658193[/C][C]0.000329096[/C][/ROW]
[ROW][C]169[/C][C]0.999344[/C][C]0.00131185[/C][C]0.000655927[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=230059&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=230059&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-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
260.2456860.4913720.754314
270.1648860.3297730.835114
280.08467090.1693420.915329
290.09452460.1890490.905475
300.05068870.1013770.949311
310.02471840.04943680.975282
320.1396490.2792990.860351
330.1641990.3283980.835801
340.2810910.5621820.718909
350.2722810.5445630.727719
360.2813180.5626360.718682
370.2163350.432670.783665
380.1789760.3579520.821024
390.1353550.2707110.864645
400.1055060.2110120.894494
410.07513830.1502770.924862
420.07150450.1430090.928496
430.3741610.7483220.625839
440.3300220.6600430.669978
450.3306620.6613230.669338
460.2834540.5669070.716546
470.2460750.492150.753925
480.3121860.6243730.687814
490.669950.6600990.33005
500.6294770.7410470.370523
510.5967090.8065810.403291
520.5508980.8982040.449102
530.4988090.9976180.501191
540.447720.8954390.55228
550.3922160.7844310.607784
560.3821650.764330.617835
570.3372950.6745910.662705
580.2959980.5919960.704002
590.2638660.5277330.736134
600.2431380.4862750.756862
610.3561150.7122310.643885
620.553160.8936810.44684
630.6028010.7943990.397199
640.5956340.8087310.404366
650.6531780.6936450.346822
660.7619630.4760740.238037
670.7778460.4443070.222154
680.7588410.4823180.241159
690.8541880.2916240.145812
700.8287230.3425550.171277
710.8050550.3898910.194945
720.7731410.4537180.226859
730.7510460.4979090.248954
740.7570460.4859080.242954
750.7724020.4551970.227598
760.736470.5270590.26353
770.6964840.6070330.303516
780.6718640.6562730.328136
790.6688190.6623630.331181
800.6305060.7389880.369494
810.6009240.7981520.399076
820.5669020.8661960.433098
830.5353010.9293970.464699
840.5420130.9159730.457987
850.5678950.864210.432105
860.5607220.8785550.439278
870.6283940.7432120.371606
880.60940.7812010.3906
890.5955650.808870.404435
900.6672740.6654520.332726
910.6976940.6046110.302306
920.7611180.4777650.238882
930.7444890.5110220.255511
940.7679650.4640710.232035
950.7605120.4789760.239488
960.7305530.5388940.269447
970.7169460.5661080.283054
980.802050.39590.19795
990.8223840.3552330.177616
1000.8522660.2954680.147734
1010.9345430.1309150.0654574
1020.9215790.1568420.0784211
1030.9217510.1564980.0782492
1040.9060340.1879320.0939659
1050.8871250.2257490.112875
1060.8751010.2497980.124899
1070.9111170.1777670.0888834
1080.8968240.2063520.103176
1090.9321480.1357040.067852
1100.9375430.1249150.0624575
1110.9284010.1431990.0715993
1120.9331750.1336510.0668254
1130.9168850.1662290.0831147
1140.9072990.1854030.0927014
1150.8886850.222630.111315
1160.8654160.2691680.134584
1170.8566390.2867230.143361
1180.9030110.1939790.0969895
1190.8912770.2174460.108723
1200.8852220.2295570.114778
1210.8785410.2429180.121459
1220.9054790.1890410.0945207
1230.8937940.2124130.106206
1240.8782280.2435450.121772
1250.8598640.2802730.140136
1260.8421470.3157060.157853
1270.8414610.3170770.158539
1280.8182130.3635750.181787
1290.907770.1844590.0922295
1300.9098810.1802380.0901189
1310.8870090.2259810.112991
1320.9088090.1823830.0911913
1330.8882970.2234060.111703
1340.8867980.2264050.113202
1350.8694470.2611050.130553
1360.8522280.2955440.147772
1370.8321640.3356730.167836
1380.8304670.3390650.169533
1390.821190.357620.17881
1400.9208970.1582060.0791031
1410.9000730.1998530.0999266
1420.9006110.1987770.0993886
1430.8734830.2530340.126517
1440.8674180.2651650.132582
1450.8567250.2865510.143275
1460.8295060.3409870.170494
1470.7859180.4281650.214082
1480.8187440.3625120.181256
1490.9622370.07552610.0377631
1500.9468580.1062850.0531424
1510.9268010.1463980.0731988
1520.9328330.1343340.0671671
1530.9997070.0005866790.00029334
1540.9994340.001131150.000565577
1550.9994810.00103740.000518699
1560.9990210.001957690.000978844
1570.9996650.0006702050.000335102
1580.9992060.001588020.000794009
1590.9999911.77914e-058.89572e-06
1600.9999735.33338e-052.66669e-05
1610.9999519.78115e-054.89058e-05
1620.9998420.0003153770.000157688
1630.9997570.0004865590.000243279
1640.9992510.001497190.000748596
1650.9977930.004414620.00220731
1660.9990490.001901170.000950584
1670.9998720.0002567850.000128393
1680.9996710.0006581930.000329096
1690.9993440.001311850.000655927







Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level170.118056NOK
5% type I error level180.125NOK
10% type I error level190.131944NOK

\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 & 17 & 0.118056 & NOK \tabularnewline
5% type I error level & 18 & 0.125 & NOK \tabularnewline
10% type I error level & 19 & 0.131944 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=230059&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]17[/C][C]0.118056[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]18[/C][C]0.125[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]19[/C][C]0.131944[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=230059&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=230059&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 testsOK/NOK
1% type I error level170.118056NOK
5% type I error level180.125NOK
10% type I error level190.131944NOK



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')
}