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 computationWed, 04 Dec 2013 15:51:41 -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/04/t1386190465k9j2hizaaguf6xd.htm/, Retrieved Fri, 29 Mar 2024 11:19:16 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=230820, Retrieved Fri, 29 Mar 2024 11:19:16 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact83
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Multiple Regression] [] [2013-12-04 20:51:41] [051b16e407d1738c1ccf7d1d6dccb24d] [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 0.414783 0.815285 -4.813031 0.266482 2.301442 0.284654 1
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 0.458359 0.819521 -4.075192 0.33559 2.486855 0.368674 1
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 0.429895 0.825288 -4.443179 0.311173 2.342259 0.332634 1
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 0.434969 0.819235 -4.117501 0.334147 2.405554 0.368975 1
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 0.417356 0.823484 -3.747787 0.234513 2.33218 0.410335 1
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 0.415564 0.825069 -4.242867 0.299111 2.18756 0.357775 1
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 0.59604 0.764112 -5.634322 0.257682 1.854785 0.211756 1
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 0.63742 0.763262 -6.167603 0.183721 2.064693 0.163755 1
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 0.615551 0.773587 -5.498678 0.327769 2.322511 0.231571 1
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 0.547037 0.798463 -5.011879 0.325996 2.432792 0.271362 1
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 0.611137 0.776156 -5.24977 0.391002 2.407313 0.24974 1
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 0.58339 0.79252 -4.960234 0.363566 2.642476 0.275931 1
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 0.4606 0.646846 -6.547148 0.152813 2.041277 0.138512 1
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 0.430166 0.665833 -5.660217 0.254989 2.519422 0.199889 1
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 0.474791 0.654027 -6.105098 0.203653 2.125618 0.1701 1
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 0.565924 0.658245 -5.340115 0.210185 2.205546 0.234589 1
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 0.56738 0.644692 -5.44004 0.239764 2.264501 0.218164 1
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 0.631099 0.605417 -2.93107 0.434326 3.007463 0.430788 1
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 0.665318 0.719467 -3.949079 0.35787 3.10901 0.377429 1
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 0.649554 0.68608 -4.554466 0.340176 2.856676 0.322111 1
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 0.660125 0.704087 -4.095442 0.262564 2.73971 0.365391 1
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 0.629017 0.698951 -5.18696 0.237622 2.557536 0.259765 1
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 0.61906 0.679834 -4.330956 0.262384 2.916777 0.285695 1
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 0.537264 0.686894 -5.248776 0.210279 2.547508 0.253556 1
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 0.397937 0.732479 -5.557447 0.22089 2.692176 0.215961 1
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 0.522746 0.737948 -5.571843 0.236853 2.846369 0.219514 1
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 0.418622 0.720916 -6.18359 0.226278 2.589702 0.147403 1
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 0.358773 0.726652 -6.27169 0.196102 2.314209 0.162999 1
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 0.470478 0.676258 -7.120925 0.279789 2.241742 0.108514 1
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 0.427785 0.723797 -6.635729 0.209866 1.957961 0.135242 1
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 0.422229 0.741367 -7.3483 0.177551 1.743867 0.085569 0
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 0.432439 0.742055 -7.682587 0.173319 2.103106 0.068501 0
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 0.465946 0.738703 -7.067931 0.175181 1.512275 0.09632 0
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 0.368535 0.742133 -7.695734 0.17854 1.544609 0.056141 0
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 0.340068 0.741899 -7.964984 0.163519 1.423287 0.044539 0
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 0.344252 0.742737 -7.777685 0.170183 2.447064 0.05761 0
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 0.360148 0.778834 -6.149653 0.218037 2.477082 0.165827 1
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 0.341435 0.783626 -6.006414 0.196371 2.536527 0.173218 1
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 0.403884 0.766209 -6.452058 0.212294 2.269398 0.141929 1
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 0.396793 0.758324 -6.006647 0.266892 2.382544 0.160691 1
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 0.32648 0.765623 -6.647379 0.201095 2.374073 0.130554 1
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 0.306443 0.759203 -7.044105 0.063412 2.361532 0.11573 1
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 0.305062 0.654172 -7.31055 0.098648 2.416838 0.095032 0
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 0.457702 0.634267 -6.793547 0.158266 2.256699 0.117399 0
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 0.438296 0.635285 -7.057869 0.091608 2.330716 0.09147 0
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 0.431285 0.638928 -6.99582 0.102083 2.3658 0.102706 0
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 0.467489 0.631653 -7.156076 0.127642 2.392122 0.097336 0
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 0.610367 0.635204 -7.31951 0.200873 2.028612 0.086398 0
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 0.579597 0.733659 -6.439398 0.266392 2.079922 0.133867 0
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 0.538688 0.754073 -6.482096 0.264967 2.054419 0.128872 0
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 0.553134 0.775933 -6.650471 0.254498 1.840198 0.103561 0
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 0.507504 0.760361 -6.689151 0.291954 2.431854 0.105993 0
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 0.459766 0.766204 -7.072419 0.220434 1.972297 0.119308 0
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 0.420383 0.785714 -6.836811 0.269866 2.223719 0.147491 0
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 0.536009 0.819032 -4.649573 0.205558 1.986899 0.3167 1
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 0.558586 0.811843 -4.333543 0.221727 2.014606 0.344834 1
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 0.541781 0.821364 -4.438453 0.238298 1.92294 0.335041 1
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 0.530529 0.817756 -4.60826 0.290024 2.021591 0.314464 1
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 0.540049 0.813432 -4.476755 0.262633 1.827012 0.326197 1
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 0.547975 0.817396 -4.609161 0.221711 1.831691 0.316395 1
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 0.341788 0.678874 -7.040508 0.066994 2.460791 0.101516 0
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 0.447979 0.686264 -7.293801 0.086372 2.32156 0.098555 0
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 0.364867 0.694399 -6.966321 0.095882 2.278687 0.103224 0
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 0.25657 0.683296 -7.24562 0.018689 2.498224 0.093534 0
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 0.27685 0.673636 -7.496264 0.056844 2.003032 0.073581 0
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 0.305429 0.681811 -7.314237 0.006274 2.118596 0.091546 0
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 0.460139 0.720908 -5.409423 0.22685 2.359973 0.226156 1
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 0.498133 0.729067 -5.324574 0.20566 2.291558 0.226247 1
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 0.513237 0.731444 -5.86975 0.151814 2.118496 0.18558 1
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 0.487407 0.727313 -6.261141 0.120956 2.137075 0.141958 1
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 0.489345 0.730387 -5.720868 0.15883 2.277927 0.180828 1
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 0.543299 0.733232 -5.207985 0.224852 2.642276 0.242981 1
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 0.495954 0.762959 -5.79182 0.329066 2.205024 0.18818 1
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 0.509127 0.789532 -5.389129 0.306636 1.928708 0.225461 1
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 0.437031 0.815908 -5.31336 0.201861 2.225815 0.244512 1
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 0.463514 0.807217 -5.477592 0.315074 1.862092 0.228624 1
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 0.489538 0.789977 -5.775966 0.341169 2.007923 0.193918 1
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 0.429484 0.81634 -5.391029 0.250572 1.777901 0.232744 1
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 0.644954 0.779612 -5.115212 0.249494 2.017753 0.260015 1
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 0.594387 0.790117 -4.913885 0.265699 2.398422 0.277948 1
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 0.544805 0.770466 -4.441519 0.155097 2.645959 0.327978 1
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 0.576084 0.778747 -5.132032 0.210458 2.232576 0.260633 1
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 0.55461 0.787896 -5.022288 0.146948 2.428306 0.264666 1
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 0.576644 0.772416 -6.025367 0.078202 2.053601 0.177275 1
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 0.556494 0.729586 -5.288912 0.343073 3.099301 0.242119 1
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 0.583574 0.727747 -5.657899 0.315903 3.098256 0.200423 1
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 0.598714 0.712199 -6.366916 0.335753 2.654271 0.144614 1
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 0.602874 0.740837 -5.515071 0.299549 3.13655 0.220968 1
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 0.599371 0.743937 -5.783272 0.299793 3.007096 0.194052 1
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 0.590951 0.745526 -4.379411 0.375531 3.671155 0.332086 1
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 0.65341 0.733165 -4.508984 0.389232 3.317586 0.301952 1
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 0.501037 0.71436 -6.411497 0.207156 2.344876 0.13412 1
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 0.454444 0.734504 -5.952058 0.08784 2.344336 0.186489 1
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 0.447456 0.69779 -6.152551 0.17352 2.080121 0.160809 1
157.821 172.975 68.401 0.00358 0.00002 0.00196 0.00196 0.00587 0.03716 0.307 0.02062 0.02321 0.02764 0.06185 0.0085 22.219 0.50238 0.71217 -6.251425 0.188056 2.143851 0.160812 1
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 0.447285 0.705658 -6.247076 0.180528 2.344348 0.164916 1
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 0.366329 0.693429 -6.41744 0.194627 2.473239 0.151709 1
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 0.629574 0.714485 -4.020042 0.265315 2.671825 0.340623 1
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 0.57101 0.690892 -5.159169 0.202146 2.441612 0.260375 1
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 0.638545 0.674953 -3.760348 0.242861 2.634633 0.378483 1
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 0.671299 0.656846 -3.700544 0.260481 2.991063 0.370961 1
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 0.639808 0.643327 -4.20273 0.310163 2.638279 0.356881 1
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 0.596362 0.641418 -3.269487 0.270641 2.690917 0.444774 1
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 0.296888 0.722356 -6.878393 0.089267 2.004055 0.113942 1
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 0.263654 0.691483 -7.111576 0.14478 2.065477 0.093193 1
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 0.365488 0.719974 -6.997403 0.210279 1.994387 0.112878 1
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 0.334171 0.67793 -6.981201 0.18455 2.129924 0.106802 1
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 0.393563 0.700246 -6.600023 0.249172 2.499148 0.105306 1
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 0.311369 0.676066 -6.739151 0.160686 2.296873 0.11513 1
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 0.497554 0.740539 -5.845099 0.278679 2.608749 0.185668 1
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 0.436084 0.727863 -5.25832 0.256454 2.550961 0.23252 1
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 0.338097 0.712466 -6.471427 0.184378 2.502336 0.13639 1
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 0.498877 0.722085 -4.876336 0.212054 2.376749 0.268144 1
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 0.441097 0.722254 -5.96304 0.250283 2.489191 0.177807 1
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 0.331508 0.715121 -6.729713 0.181701 2.938114 0.115515 1
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 0.407701 0.662668 -4.673241 0.261549 2.702355 0.274407 1
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 0.450798 0.653823 -6.051233 0.27328 2.640798 0.170106 1
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 0.486738 0.676023 -4.597834 0.372114 2.975889 0.28278 1
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 0.470422 0.655239 -4.913137 0.393056 2.816781 0.251972 1
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 0.462516 0.58271 -5.517173 0.389295 2.925862 0.220657 1
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 0.487756 0.68413 -6.186128 0.279933 2.68624 0.152428 1
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 0.400088 0.656182 -4.711007 0.281618 2.655744 0.234809 1
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 0.538016 0.74148 -5.418787 0.160267 2.090438 0.229892 1
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 0.589956 0.732903 -5.44514 0.142466 2.174306 0.215558 1
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 0.618663 0.728421 -5.944191 0.143359 1.929715 0.181988 1
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 0.637518 0.735546 -5.594275 0.12795 1.765957 0.222716 1
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 0.623209 0.738245 -5.540351 0.087165 1.821297 0.214075 1
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 0.585169 0.736964 -5.825257 0.115697 1.996146 0.196535 1
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 0.457541 0.699787 -6.890021 0.152941 2.328513 0.112856 1
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 0.491345 0.718839 -5.892061 0.195976 2.108873 0.183572 1
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 0.46716 0.724045 -6.135296 0.20363 2.539724 0.169923 1
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 0.468621 0.735136 -6.112667 0.217013 2.527742 0.170633 1
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 0.470972 0.721308 -5.436135 0.254909 2.51632 0.232209 1
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 0.482296 0.723096 -6.448134 0.178713 2.034827 0.141422 1
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 0.637814 0.744064 -5.301321 0.320385 2.375138 0.24308 1
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 0.653427 0.706687 -5.333619 0.322044 2.631793 0.228319 1
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 0.6479 0.708144 -4.378916 0.300067 2.445502 0.259451 1
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 0.625362 0.708617 -4.654894 0.304107 2.672362 0.274387 1
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 0.640945 0.701404 -5.634576 0.306014 2.419253 0.209191 1
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 0.624811 0.696049 -5.866357 0.23307 2.445646 0.184985 1
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 0.677131 0.685057 -4.796845 0.397749 2.963799 0.277227 1
208.083 253.792 91.802 0.00757 0.00004 0.00428 0.00428 0.01285 0.06725 0.571 0.04016 0.04003 0.04464 0.12047 0.04238 15.648 0.606344 0.665945 -5.410336 0.288917 2.665133 0.231723 1
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 0.606273 0.661735 -5.585259 0.310746 2.465528 0.209863 1
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 0.536102 0.632631 -5.898673 0.213353 2.470746 0.189032 1
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 0.49748 0.630409 -6.132663 0.220617 2.576563 0.159777 1
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 0.566849 0.574282 -5.456811 0.345238 2.840556 0.232861 1
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 0.56161 0.793509 -3.297668 0.414758 3.413649 0.457533 1
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 0.478024 0.768974 -4.276605 0.355736 3.142364 0.336085 1
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 0.55287 0.764036 -3.377325 0.335357 3.274865 0.418646 1
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 0.427627 0.775708 -4.892495 0.262281 2.910213 0.270173 1
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 0.507826 0.762726 -4.484303 0.340256 2.958815 0.301487 1
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 0.625866 0.76832 -2.434031 0.450493 3.079221 0.527367 1
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 0.584164 0.754449 -2.839756 0.356224 3.184027 0.454721 1
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 0.566867 0.670475 -4.865194 0.246404 2.01353 0.168581 1
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 0.65168 0.659333 -4.239028 0.175691 2.45113 0.247455 1
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 0.6283 0.652025 -3.583722 0.207914 2.439597 0.206256 1
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 0.611679 0.623731 -5.4351 0.230532 2.699645 0.220546 1
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 0.630547 0.646786 -3.444478 0.303214 2.964568 0.261305 1
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 0.635015 0.627337 -5.070096 0.280091 2.8923 0.249703 1
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 0.654945 0.675865 -5.498456 0.234196 2.103014 0.216638 1
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 0.653139 0.694571 -5.185987 0.259229 2.151121 0.244948 1
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 0.577802 0.684373 -5.283009 0.226528 2.442906 0.238281 1
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 0.685151 0.719576 -5.529833 0.24275 2.408689 0.22052 1
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 0.557045 0.673086 -5.617124 0.184896 1.871871 0.212386 1
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 0.671378 0.674562 -2.929379 0.396746 2.560422 0.367233 1
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 0.469928 0.628232 -6.816086 0.17227 2.235197 0.119652 0
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 0.384868 0.62671 -7.018057 0.176316 1.852402 0.091604 0
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 0.440988 0.628058 -7.517934 0.160414 1.881767 0.075587 0
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 0.372222 0.725216 -5.736781 0.164529 2.88245 0.202879 0
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 0.371837 0.646167 -7.169701 0.073298 2.266432 0.100881 0
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 0.522812 0.646818 -7.3045 0.171088 2.095237 0.09622 0
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 0.413295 0.7567 -6.323531 0.218885 2.193412 0.160376 0
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 0.36909 0.776158 -6.085567 0.192375 1.889002 0.174152 0
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 0.380253 0.7667 -5.943501 0.19215 1.852542 0.179677 0
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 0.387482 0.756482 -6.012559 0.229298 1.872946 0.163118 0
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 0.405991 0.761255 -5.966779 0.197938 1.974857 0.184067 0
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 0.361232 0.763242 -6.016891 0.109256 2.004719 0.174429 0
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 0.39661 0.745957 -6.486822 0.197919 2.449763 0.132703 1
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 0.402591 0.762508 -6.311987 0.182459 2.251553 0.160306 1
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 0.398499 0.778349 -5.711205 0.240875 2.845109 0.19273 1
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 0.352396 0.75932 -6.261446 0.183218 2.264226 0.144105 1
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 0.408598 0.768845 -5.704053 0.216204 2.679185 0.19771 1
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 0.329577 0.75718 -6.27717 0.109397 2.209021 0.156368 1
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 0.603515 0.669565 -5.61907 0.191576 2.027228 0.215724 0
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 0.663842 0.656516 -5.198864 0.206768 2.120412 0.252404 0
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 0.598515 0.654331 -5.592584 0.133917 2.058658 0.214346 0
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 0.566424 0.667654 -6.431119 0.15331 2.161936 0.120605 0
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 0.528485 0.663884 -6.359018 0.116636 2.152083 0.138868 0
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 0.555303 0.659132 -6.710219 0.149694 1.91399 0.121777 0
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 0.508479 0.683761 -6.934474 0.15989 2.316346 0.112838 0
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 0.448439 0.657899 -6.538586 0.121952 2.657476 0.13305 0
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 0.431674 0.683244 -6.195325 0.129303 2.784312 0.168895 0
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 0.407567 0.655683 -6.787197 0.158453 2.679772 0.131728 0
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 0.451221 0.643956 -6.744577 0.207454 2.138608 0.123306 0
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 0.462803 0.664357 -5.724056 0.190667 2.555477 0.148569 0




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time43 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 43 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=230820&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]43 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=230820&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=230820&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 time43 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net







Multiple Linear Regression - Estimated Regression Equation
MDVP:Fo(Hz)[t] = + 159.545 + 0.0298577`MDVP:Fhi(Hz)`[t] + 0.252331`MDVP:Flo(Hz)`[t] + 11578.2`MDVP:Jitter(%)`[t] -2021960`MDVP:Jitter(Abs)`[t] + 683020`MDVP:RAP`[t] -7137.45`MDVP:PPQ`[t] -223687`Jitter:DDP`[t] -219.529`MDVP:Shimmer`[t] -14.6761`MDVP:Shimmer(dB)`[t] + 194501`Shimmer:APQ3`[t] + 2269.97`Shimmer:APQ5`[t] -1662.48`MDVP:APQ`[t] -64652.3`Shimmer:DDA`[t] -234.477NHR[t] -0.163612HNR[t] -32.9909RPDE[t] -234.002DFA[t] -16.5891spread1[t] + 21.4044spread2[t] + 5.81656D2[t] + 234.963PPE[t] -5.99259status[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
MDVP:Fo(Hz)[t] =  +  159.545 +  0.0298577`MDVP:Fhi(Hz)`[t] +  0.252331`MDVP:Flo(Hz)`[t] +  11578.2`MDVP:Jitter(%)`[t] -2021960`MDVP:Jitter(Abs)`[t] +  683020`MDVP:RAP`[t] -7137.45`MDVP:PPQ`[t] -223687`Jitter:DDP`[t] -219.529`MDVP:Shimmer`[t] -14.6761`MDVP:Shimmer(dB)`[t] +  194501`Shimmer:APQ3`[t] +  2269.97`Shimmer:APQ5`[t] -1662.48`MDVP:APQ`[t] -64652.3`Shimmer:DDA`[t] -234.477NHR[t] -0.163612HNR[t] -32.9909RPDE[t] -234.002DFA[t] -16.5891spread1[t] +  21.4044spread2[t] +  5.81656D2[t] +  234.963PPE[t] -5.99259status[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=230820&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]MDVP:Fo(Hz)[t] =  +  159.545 +  0.0298577`MDVP:Fhi(Hz)`[t] +  0.252331`MDVP:Flo(Hz)`[t] +  11578.2`MDVP:Jitter(%)`[t] -2021960`MDVP:Jitter(Abs)`[t] +  683020`MDVP:RAP`[t] -7137.45`MDVP:PPQ`[t] -223687`Jitter:DDP`[t] -219.529`MDVP:Shimmer`[t] -14.6761`MDVP:Shimmer(dB)`[t] +  194501`Shimmer:APQ3`[t] +  2269.97`Shimmer:APQ5`[t] -1662.48`MDVP:APQ`[t] -64652.3`Shimmer:DDA`[t] -234.477NHR[t] -0.163612HNR[t] -32.9909RPDE[t] -234.002DFA[t] -16.5891spread1[t] +  21.4044spread2[t] +  5.81656D2[t] +  234.963PPE[t] -5.99259status[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=230820&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=230820&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
MDVP:Fo(Hz)[t] = + 159.545 + 0.0298577`MDVP:Fhi(Hz)`[t] + 0.252331`MDVP:Flo(Hz)`[t] + 11578.2`MDVP:Jitter(%)`[t] -2021960`MDVP:Jitter(Abs)`[t] + 683020`MDVP:RAP`[t] -7137.45`MDVP:PPQ`[t] -223687`Jitter:DDP`[t] -219.529`MDVP:Shimmer`[t] -14.6761`MDVP:Shimmer(dB)`[t] + 194501`Shimmer:APQ3`[t] + 2269.97`Shimmer:APQ5`[t] -1662.48`MDVP:APQ`[t] -64652.3`Shimmer:DDA`[t] -234.477NHR[t] -0.163612HNR[t] -32.9909RPDE[t] -234.002DFA[t] -16.5891spread1[t] + 21.4044spread2[t] + 5.81656D2[t] + 234.963PPE[t] -5.99259status[t] + e[t]







Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)159.54557.4172.7790.006064480.00303224
`MDVP:Fhi(Hz)`0.02985770.01593961.8730.06274070.0313704
`MDVP:Flo(Hz)`0.2523310.03580597.0474.22612e-112.11306e-11
`MDVP:Jitter(%)`11578.23312.033.4960.0006013060.000300653
`MDVP:Jitter(Abs)`-2021960173686-11.641.80395e-239.01976e-24
`MDVP:RAP`6830204649291.4690.1436360.0718182
`MDVP:PPQ`-7137.454399.5-1.6220.1065640.0532819
`Jitter:DDP`-223687155056-1.4430.1509470.0754734
`MDVP:Shimmer`-219.5291721.8-0.12750.8986940.449347
`MDVP:Shimmer(dB)`-14.676160.1537-0.2440.807540.40377
`Shimmer:APQ3`1945014495630.43260.6658150.332907
`Shimmer:APQ5`2269.97998.9582.2720.02430420.0121521
`MDVP:APQ`-1662.48531.205-3.130.002056480.00102824
`Shimmer:DDA`-64652.3149816-0.43150.6666130.333306
NHR-234.47798.1455-2.3890.01797320.00898659
HNR-0.1636120.72144-0.22680.820860.41043
RPDE-32.990922.2319-1.4840.1396530.0698265
DFA-234.00232.5184-7.1961.83613e-119.18065e-12
spread1-16.58914.76696-3.480.0006353630.000317682
spread221.404424.39240.87750.3814360.190718
D25.816565.717261.0170.3104070.155203
PPE234.96367.17033.4980.0005966490.000298324
status-5.992593.79514-1.5790.1161690.0580847

\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) & 159.545 & 57.417 & 2.779 & 0.00606448 & 0.00303224 \tabularnewline
`MDVP:Fhi(Hz)` & 0.0298577 & 0.0159396 & 1.873 & 0.0627407 & 0.0313704 \tabularnewline
`MDVP:Flo(Hz)` & 0.252331 & 0.0358059 & 7.047 & 4.22612e-11 & 2.11306e-11 \tabularnewline
`MDVP:Jitter(%)` & 11578.2 & 3312.03 & 3.496 & 0.000601306 & 0.000300653 \tabularnewline
`MDVP:Jitter(Abs)` & -2021960 & 173686 & -11.64 & 1.80395e-23 & 9.01976e-24 \tabularnewline
`MDVP:RAP` & 683020 & 464929 & 1.469 & 0.143636 & 0.0718182 \tabularnewline
`MDVP:PPQ` & -7137.45 & 4399.5 & -1.622 & 0.106564 & 0.0532819 \tabularnewline
`Jitter:DDP` & -223687 & 155056 & -1.443 & 0.150947 & 0.0754734 \tabularnewline
`MDVP:Shimmer` & -219.529 & 1721.8 & -0.1275 & 0.898694 & 0.449347 \tabularnewline
`MDVP:Shimmer(dB)` & -14.6761 & 60.1537 & -0.244 & 0.80754 & 0.40377 \tabularnewline
`Shimmer:APQ3` & 194501 & 449563 & 0.4326 & 0.665815 & 0.332907 \tabularnewline
`Shimmer:APQ5` & 2269.97 & 998.958 & 2.272 & 0.0243042 & 0.0121521 \tabularnewline
`MDVP:APQ` & -1662.48 & 531.205 & -3.13 & 0.00205648 & 0.00102824 \tabularnewline
`Shimmer:DDA` & -64652.3 & 149816 & -0.4315 & 0.666613 & 0.333306 \tabularnewline
NHR & -234.477 & 98.1455 & -2.389 & 0.0179732 & 0.00898659 \tabularnewline
HNR & -0.163612 & 0.72144 & -0.2268 & 0.82086 & 0.41043 \tabularnewline
RPDE & -32.9909 & 22.2319 & -1.484 & 0.139653 & 0.0698265 \tabularnewline
DFA & -234.002 & 32.5184 & -7.196 & 1.83613e-11 & 9.18065e-12 \tabularnewline
spread1 & -16.5891 & 4.76696 & -3.48 & 0.000635363 & 0.000317682 \tabularnewline
spread2 & 21.4044 & 24.3924 & 0.8775 & 0.381436 & 0.190718 \tabularnewline
D2 & 5.81656 & 5.71726 & 1.017 & 0.310407 & 0.155203 \tabularnewline
PPE & 234.963 & 67.1703 & 3.498 & 0.000596649 & 0.000298324 \tabularnewline
status & -5.99259 & 3.79514 & -1.579 & 0.116169 & 0.0580847 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=230820&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]159.545[/C][C]57.417[/C][C]2.779[/C][C]0.00606448[/C][C]0.00303224[/C][/ROW]
[ROW][C]`MDVP:Fhi(Hz)`[/C][C]0.0298577[/C][C]0.0159396[/C][C]1.873[/C][C]0.0627407[/C][C]0.0313704[/C][/ROW]
[ROW][C]`MDVP:Flo(Hz)`[/C][C]0.252331[/C][C]0.0358059[/C][C]7.047[/C][C]4.22612e-11[/C][C]2.11306e-11[/C][/ROW]
[ROW][C]`MDVP:Jitter(%)`[/C][C]11578.2[/C][C]3312.03[/C][C]3.496[/C][C]0.000601306[/C][C]0.000300653[/C][/ROW]
[ROW][C]`MDVP:Jitter(Abs)`[/C][C]-2021960[/C][C]173686[/C][C]-11.64[/C][C]1.80395e-23[/C][C]9.01976e-24[/C][/ROW]
[ROW][C]`MDVP:RAP`[/C][C]683020[/C][C]464929[/C][C]1.469[/C][C]0.143636[/C][C]0.0718182[/C][/ROW]
[ROW][C]`MDVP:PPQ`[/C][C]-7137.45[/C][C]4399.5[/C][C]-1.622[/C][C]0.106564[/C][C]0.0532819[/C][/ROW]
[ROW][C]`Jitter:DDP`[/C][C]-223687[/C][C]155056[/C][C]-1.443[/C][C]0.150947[/C][C]0.0754734[/C][/ROW]
[ROW][C]`MDVP:Shimmer`[/C][C]-219.529[/C][C]1721.8[/C][C]-0.1275[/C][C]0.898694[/C][C]0.449347[/C][/ROW]
[ROW][C]`MDVP:Shimmer(dB)`[/C][C]-14.6761[/C][C]60.1537[/C][C]-0.244[/C][C]0.80754[/C][C]0.40377[/C][/ROW]
[ROW][C]`Shimmer:APQ3`[/C][C]194501[/C][C]449563[/C][C]0.4326[/C][C]0.665815[/C][C]0.332907[/C][/ROW]
[ROW][C]`Shimmer:APQ5`[/C][C]2269.97[/C][C]998.958[/C][C]2.272[/C][C]0.0243042[/C][C]0.0121521[/C][/ROW]
[ROW][C]`MDVP:APQ`[/C][C]-1662.48[/C][C]531.205[/C][C]-3.13[/C][C]0.00205648[/C][C]0.00102824[/C][/ROW]
[ROW][C]`Shimmer:DDA`[/C][C]-64652.3[/C][C]149816[/C][C]-0.4315[/C][C]0.666613[/C][C]0.333306[/C][/ROW]
[ROW][C]NHR[/C][C]-234.477[/C][C]98.1455[/C][C]-2.389[/C][C]0.0179732[/C][C]0.00898659[/C][/ROW]
[ROW][C]HNR[/C][C]-0.163612[/C][C]0.72144[/C][C]-0.2268[/C][C]0.82086[/C][C]0.41043[/C][/ROW]
[ROW][C]RPDE[/C][C]-32.9909[/C][C]22.2319[/C][C]-1.484[/C][C]0.139653[/C][C]0.0698265[/C][/ROW]
[ROW][C]DFA[/C][C]-234.002[/C][C]32.5184[/C][C]-7.196[/C][C]1.83613e-11[/C][C]9.18065e-12[/C][/ROW]
[ROW][C]spread1[/C][C]-16.5891[/C][C]4.76696[/C][C]-3.48[/C][C]0.000635363[/C][C]0.000317682[/C][/ROW]
[ROW][C]spread2[/C][C]21.4044[/C][C]24.3924[/C][C]0.8775[/C][C]0.381436[/C][C]0.190718[/C][/ROW]
[ROW][C]D2[/C][C]5.81656[/C][C]5.71726[/C][C]1.017[/C][C]0.310407[/C][C]0.155203[/C][/ROW]
[ROW][C]PPE[/C][C]234.963[/C][C]67.1703[/C][C]3.498[/C][C]0.000596649[/C][C]0.000298324[/C][/ROW]
[ROW][C]status[/C][C]-5.99259[/C][C]3.79514[/C][C]-1.579[/C][C]0.116169[/C][C]0.0580847[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=230820&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=230820&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)159.54557.4172.7790.006064480.00303224
`MDVP:Fhi(Hz)`0.02985770.01593961.8730.06274070.0313704
`MDVP:Flo(Hz)`0.2523310.03580597.0474.22612e-112.11306e-11
`MDVP:Jitter(%)`11578.23312.033.4960.0006013060.000300653
`MDVP:Jitter(Abs)`-2021960173686-11.641.80395e-239.01976e-24
`MDVP:RAP`6830204649291.4690.1436360.0718182
`MDVP:PPQ`-7137.454399.5-1.6220.1065640.0532819
`Jitter:DDP`-223687155056-1.4430.1509470.0754734
`MDVP:Shimmer`-219.5291721.8-0.12750.8986940.449347
`MDVP:Shimmer(dB)`-14.676160.1537-0.2440.807540.40377
`Shimmer:APQ3`1945014495630.43260.6658150.332907
`Shimmer:APQ5`2269.97998.9582.2720.02430420.0121521
`MDVP:APQ`-1662.48531.205-3.130.002056480.00102824
`Shimmer:DDA`-64652.3149816-0.43150.6666130.333306
NHR-234.47798.1455-2.3890.01797320.00898659
HNR-0.1636120.72144-0.22680.820860.41043
RPDE-32.990922.2319-1.4840.1396530.0698265
DFA-234.00232.5184-7.1961.83613e-119.18065e-12
spread1-16.58914.76696-3.480.0006353630.000317682
spread221.404424.39240.87750.3814360.190718
D25.816565.717261.0170.3104070.155203
PPE234.96367.17033.4980.0005966490.000298324
status-5.992593.79514-1.5790.1161690.0580847







Multiple Linear Regression - Regression Statistics
Multiple R0.928008
R-squared0.861199
Adjusted R-squared0.843446
F-TEST (value)48.5085
F-TEST (DF numerator)22
F-TEST (DF denominator)172
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation16.3768
Sum Squared Residuals46130.3

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.928008 \tabularnewline
R-squared & 0.861199 \tabularnewline
Adjusted R-squared & 0.843446 \tabularnewline
F-TEST (value) & 48.5085 \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 & 16.3768 \tabularnewline
Sum Squared Residuals & 46130.3 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=230820&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.928008[/C][/ROW]
[ROW][C]R-squared[/C][C]0.861199[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.843446[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]48.5085[/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]16.3768[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]46130.3[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=230820&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=230820&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 R0.928008
R-squared0.861199
Adjusted R-squared0.843446
F-TEST (value)48.5085
F-TEST (DF numerator)22
F-TEST (DF denominator)172
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation16.3768
Sum Squared Residuals46130.3







Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
1119.992104.40815.5838
2122.4130.237-7.83745
3116.682115.671.01188
4116.676120.343-3.667
5116.014118.206-2.19155
6120.552122.149-1.59713
7120.267119.4310.836024
8107.332114.25-6.91848
995.7390.51285.21717
1095.05683.94511.111
1188.33377.308811.0242
1291.90485.26956.63449
13136.926166.55-29.6244
14139.173139.209-0.036389
15152.845157.974-5.12859
16142.167146.245-4.07846
17144.188145.896-1.70751
18168.778171.911-3.133
19153.046131.61221.4339
20156.405158.623-2.21813
21153.848148.1785.67018
22153.88137.96515.9152
23167.93135.06832.8619
24173.917153.44320.4736
25163.656146.67116.9853
26104.490.74113.659
27171.041145.70425.337
28146.845153.238-6.39302
29155.358161.145-5.78742
30162.568148.38714.1807
31197.076199.984-2.90828
32199.228194.6984.53008
33198.383184.4313.9527
34202.266187.29814.9682
35203.184184.8218.3637
36201.464194.6166.84814
37177.876180.005-2.12888
38176.17169.2756.89492
39180.198163.12817.0695
40187.733166.06321.6701
41186.163167.99818.1654
42184.055179.7754.28009
43237.226240.877-3.65144
44241.404237.2884.11641
45243.439223.94319.4957
46242.852227.82415.0279
47245.51231.34114.1689
48252.455209.54842.9066
49122.188129.79-7.602
50122.964133.516-10.5516
51124.445129.057-4.61206
52126.344116.9749.37025
53128.001146.278-18.2771
54129.336134.003-4.66739
55108.80791.558417.2486
56109.8691.250118.6099
57110.41794.008216.4088
58117.274103.4813.7944
59116.87989.059627.8194
60114.84783.763331.0837
61209.144195.50613.638
62223.365197.00726.3583
63222.236213.6558.58085
64228.832231.557-2.7252
65229.401219.9879.41361
66228.969193.75735.212
67140.341139.11.24094
68136.969127.2369.73309
69143.533136.0037.52994
70148.09147.9570.133228
71142.729124.33218.3974
72136.358132.3454.01261
73120.08136.472-16.3922
74112.014115.097-3.08271
75110.793123.451-12.6577
76110.707106.5144.1933
77112.876132.629-19.753
78110.568114.851-4.28323
7995.38596.9259-1.54093
80100.7787.475413.2946
8196.106100.732-4.62614
8295.605103.896-8.29143
83100.96102.261-1.30104
8498.804110.328-11.5242
85176.858178.054-1.19632
86180.978190.394-9.41648
87178.222172.3885.8342
88176.281177.002-0.721468
89173.898155.34618.5518
90179.711185.693-5.98206
91166.605165.0611.54407
92151.955173.112-21.1572
93148.272166.147-17.8753
94152.125145.2766.84872
95157.821163.748-5.92727
96157.447183.862-26.4146
97159.116178.606-19.4899
98125.036133.597-8.56118
99125.791121.9723.8194
100126.512114.55411.9583
101125.641112.97812.6626
102128.451121.6276.82392
103139.224151.466-12.2424
104150.258134.71215.5456
105154.003169.025-15.0223
106149.689156.169-6.48003
107155.078175.136-20.0578
108151.884151.2980.585964
109151.989171.614-19.6249
110193.03184.0169.01441
111200.714189.00311.711
112208.519214.174-5.65457
113204.664223.119-18.4555
114210.141196.513.6414
115206.327198.1128.21471
116151.872157.251-5.37915
117158.219169.002-10.7834
118170.756181.63-10.8741
119178.285169.9758.30998
120217.116202.94514.171
121128.94129.892-0.952269
122176.824155.5621.2644
123138.19144.362-6.17238
124182.018167.89414.1236
125156.239158.143-1.9041
126145.174139.5795.59543
127138.145128.189.96488
128166.888151.76115.1273
129119.031138.143-19.1117
130120.078141.642-21.5642
131120.289137.009-16.7203
132120.256145.96-25.7038
133119.056139.599-20.5433
134118.747133.244-14.4966
135106.516106.602-0.0857971
136110.453138.396-27.9425
137113.4109.9753.42536
138113.166136.009-22.8427
139112.239134.079-21.8404
140116.15137.232-21.0822
141170.368170.2570.111395
142208.083203.0265.05683
143198.458192.2766.18236
144202.805179.02423.7812
145202.544201.0221.52205
146223.361202.57120.7897
147169.774167.9671.80713
148183.52198.189-14.6693
149188.62212.861-24.2413
150202.632215.748-13.1157
151186.695176.3810.3155
152192.818187.4795.33895
153198.116222.111-23.9945
154121.345107.90513.4403
155119.1118.2250.874539
156117.87121.334-3.46405
157122.336151.096-28.7598
158117.963111.3116.6515
159126.144158.681-32.5368
160127.93124.8263.10359
161114.23899.025215.2128
162115.322132.181-16.8591
163114.554107.7976.7569
164112.15130.107-17.9573
165102.27392.35879.91434
166236.2205.83130.369
167237.323237.739-0.415952
168260.105250.07310.0324
169197.569207.534-9.96539
170240.301248.223-7.92186
171244.99244.3120.677667
172112.547136.308-23.7608
173110.739132.39-21.6511
174113.715128.933-15.2183
175117.004134.521-17.5174
176115.38136.029-20.6486
177116.388133.432-17.0442
178151.737153.073-1.33567
179148.79154.441-5.65065
180148.143143.964.18317
181150.44143.6946.74592
182148.462150.306-1.84376
183149.818167.254-17.4355
184117.226131.085-13.8587
185116.848133.832-16.9838
186116.286137.085-20.799
187116.556151.736-35.1799
188116.342167.407-51.0651
189114.563136.656-22.0934
190201.774202.712-0.938335
191174.188181.687-7.4991
192209.516195.95913.5573
193174.688182.244-7.55574
194198.764188.40610.3576
195214.289171.12343.1664

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 119.992 & 104.408 & 15.5838 \tabularnewline
2 & 122.4 & 130.237 & -7.83745 \tabularnewline
3 & 116.682 & 115.67 & 1.01188 \tabularnewline
4 & 116.676 & 120.343 & -3.667 \tabularnewline
5 & 116.014 & 118.206 & -2.19155 \tabularnewline
6 & 120.552 & 122.149 & -1.59713 \tabularnewline
7 & 120.267 & 119.431 & 0.836024 \tabularnewline
8 & 107.332 & 114.25 & -6.91848 \tabularnewline
9 & 95.73 & 90.5128 & 5.21717 \tabularnewline
10 & 95.056 & 83.945 & 11.111 \tabularnewline
11 & 88.333 & 77.3088 & 11.0242 \tabularnewline
12 & 91.904 & 85.2695 & 6.63449 \tabularnewline
13 & 136.926 & 166.55 & -29.6244 \tabularnewline
14 & 139.173 & 139.209 & -0.036389 \tabularnewline
15 & 152.845 & 157.974 & -5.12859 \tabularnewline
16 & 142.167 & 146.245 & -4.07846 \tabularnewline
17 & 144.188 & 145.896 & -1.70751 \tabularnewline
18 & 168.778 & 171.911 & -3.133 \tabularnewline
19 & 153.046 & 131.612 & 21.4339 \tabularnewline
20 & 156.405 & 158.623 & -2.21813 \tabularnewline
21 & 153.848 & 148.178 & 5.67018 \tabularnewline
22 & 153.88 & 137.965 & 15.9152 \tabularnewline
23 & 167.93 & 135.068 & 32.8619 \tabularnewline
24 & 173.917 & 153.443 & 20.4736 \tabularnewline
25 & 163.656 & 146.671 & 16.9853 \tabularnewline
26 & 104.4 & 90.741 & 13.659 \tabularnewline
27 & 171.041 & 145.704 & 25.337 \tabularnewline
28 & 146.845 & 153.238 & -6.39302 \tabularnewline
29 & 155.358 & 161.145 & -5.78742 \tabularnewline
30 & 162.568 & 148.387 & 14.1807 \tabularnewline
31 & 197.076 & 199.984 & -2.90828 \tabularnewline
32 & 199.228 & 194.698 & 4.53008 \tabularnewline
33 & 198.383 & 184.43 & 13.9527 \tabularnewline
34 & 202.266 & 187.298 & 14.9682 \tabularnewline
35 & 203.184 & 184.82 & 18.3637 \tabularnewline
36 & 201.464 & 194.616 & 6.84814 \tabularnewline
37 & 177.876 & 180.005 & -2.12888 \tabularnewline
38 & 176.17 & 169.275 & 6.89492 \tabularnewline
39 & 180.198 & 163.128 & 17.0695 \tabularnewline
40 & 187.733 & 166.063 & 21.6701 \tabularnewline
41 & 186.163 & 167.998 & 18.1654 \tabularnewline
42 & 184.055 & 179.775 & 4.28009 \tabularnewline
43 & 237.226 & 240.877 & -3.65144 \tabularnewline
44 & 241.404 & 237.288 & 4.11641 \tabularnewline
45 & 243.439 & 223.943 & 19.4957 \tabularnewline
46 & 242.852 & 227.824 & 15.0279 \tabularnewline
47 & 245.51 & 231.341 & 14.1689 \tabularnewline
48 & 252.455 & 209.548 & 42.9066 \tabularnewline
49 & 122.188 & 129.79 & -7.602 \tabularnewline
50 & 122.964 & 133.516 & -10.5516 \tabularnewline
51 & 124.445 & 129.057 & -4.61206 \tabularnewline
52 & 126.344 & 116.974 & 9.37025 \tabularnewline
53 & 128.001 & 146.278 & -18.2771 \tabularnewline
54 & 129.336 & 134.003 & -4.66739 \tabularnewline
55 & 108.807 & 91.5584 & 17.2486 \tabularnewline
56 & 109.86 & 91.2501 & 18.6099 \tabularnewline
57 & 110.417 & 94.0082 & 16.4088 \tabularnewline
58 & 117.274 & 103.48 & 13.7944 \tabularnewline
59 & 116.879 & 89.0596 & 27.8194 \tabularnewline
60 & 114.847 & 83.7633 & 31.0837 \tabularnewline
61 & 209.144 & 195.506 & 13.638 \tabularnewline
62 & 223.365 & 197.007 & 26.3583 \tabularnewline
63 & 222.236 & 213.655 & 8.58085 \tabularnewline
64 & 228.832 & 231.557 & -2.7252 \tabularnewline
65 & 229.401 & 219.987 & 9.41361 \tabularnewline
66 & 228.969 & 193.757 & 35.212 \tabularnewline
67 & 140.341 & 139.1 & 1.24094 \tabularnewline
68 & 136.969 & 127.236 & 9.73309 \tabularnewline
69 & 143.533 & 136.003 & 7.52994 \tabularnewline
70 & 148.09 & 147.957 & 0.133228 \tabularnewline
71 & 142.729 & 124.332 & 18.3974 \tabularnewline
72 & 136.358 & 132.345 & 4.01261 \tabularnewline
73 & 120.08 & 136.472 & -16.3922 \tabularnewline
74 & 112.014 & 115.097 & -3.08271 \tabularnewline
75 & 110.793 & 123.451 & -12.6577 \tabularnewline
76 & 110.707 & 106.514 & 4.1933 \tabularnewline
77 & 112.876 & 132.629 & -19.753 \tabularnewline
78 & 110.568 & 114.851 & -4.28323 \tabularnewline
79 & 95.385 & 96.9259 & -1.54093 \tabularnewline
80 & 100.77 & 87.4754 & 13.2946 \tabularnewline
81 & 96.106 & 100.732 & -4.62614 \tabularnewline
82 & 95.605 & 103.896 & -8.29143 \tabularnewline
83 & 100.96 & 102.261 & -1.30104 \tabularnewline
84 & 98.804 & 110.328 & -11.5242 \tabularnewline
85 & 176.858 & 178.054 & -1.19632 \tabularnewline
86 & 180.978 & 190.394 & -9.41648 \tabularnewline
87 & 178.222 & 172.388 & 5.8342 \tabularnewline
88 & 176.281 & 177.002 & -0.721468 \tabularnewline
89 & 173.898 & 155.346 & 18.5518 \tabularnewline
90 & 179.711 & 185.693 & -5.98206 \tabularnewline
91 & 166.605 & 165.061 & 1.54407 \tabularnewline
92 & 151.955 & 173.112 & -21.1572 \tabularnewline
93 & 148.272 & 166.147 & -17.8753 \tabularnewline
94 & 152.125 & 145.276 & 6.84872 \tabularnewline
95 & 157.821 & 163.748 & -5.92727 \tabularnewline
96 & 157.447 & 183.862 & -26.4146 \tabularnewline
97 & 159.116 & 178.606 & -19.4899 \tabularnewline
98 & 125.036 & 133.597 & -8.56118 \tabularnewline
99 & 125.791 & 121.972 & 3.8194 \tabularnewline
100 & 126.512 & 114.554 & 11.9583 \tabularnewline
101 & 125.641 & 112.978 & 12.6626 \tabularnewline
102 & 128.451 & 121.627 & 6.82392 \tabularnewline
103 & 139.224 & 151.466 & -12.2424 \tabularnewline
104 & 150.258 & 134.712 & 15.5456 \tabularnewline
105 & 154.003 & 169.025 & -15.0223 \tabularnewline
106 & 149.689 & 156.169 & -6.48003 \tabularnewline
107 & 155.078 & 175.136 & -20.0578 \tabularnewline
108 & 151.884 & 151.298 & 0.585964 \tabularnewline
109 & 151.989 & 171.614 & -19.6249 \tabularnewline
110 & 193.03 & 184.016 & 9.01441 \tabularnewline
111 & 200.714 & 189.003 & 11.711 \tabularnewline
112 & 208.519 & 214.174 & -5.65457 \tabularnewline
113 & 204.664 & 223.119 & -18.4555 \tabularnewline
114 & 210.141 & 196.5 & 13.6414 \tabularnewline
115 & 206.327 & 198.112 & 8.21471 \tabularnewline
116 & 151.872 & 157.251 & -5.37915 \tabularnewline
117 & 158.219 & 169.002 & -10.7834 \tabularnewline
118 & 170.756 & 181.63 & -10.8741 \tabularnewline
119 & 178.285 & 169.975 & 8.30998 \tabularnewline
120 & 217.116 & 202.945 & 14.171 \tabularnewline
121 & 128.94 & 129.892 & -0.952269 \tabularnewline
122 & 176.824 & 155.56 & 21.2644 \tabularnewline
123 & 138.19 & 144.362 & -6.17238 \tabularnewline
124 & 182.018 & 167.894 & 14.1236 \tabularnewline
125 & 156.239 & 158.143 & -1.9041 \tabularnewline
126 & 145.174 & 139.579 & 5.59543 \tabularnewline
127 & 138.145 & 128.18 & 9.96488 \tabularnewline
128 & 166.888 & 151.761 & 15.1273 \tabularnewline
129 & 119.031 & 138.143 & -19.1117 \tabularnewline
130 & 120.078 & 141.642 & -21.5642 \tabularnewline
131 & 120.289 & 137.009 & -16.7203 \tabularnewline
132 & 120.256 & 145.96 & -25.7038 \tabularnewline
133 & 119.056 & 139.599 & -20.5433 \tabularnewline
134 & 118.747 & 133.244 & -14.4966 \tabularnewline
135 & 106.516 & 106.602 & -0.0857971 \tabularnewline
136 & 110.453 & 138.396 & -27.9425 \tabularnewline
137 & 113.4 & 109.975 & 3.42536 \tabularnewline
138 & 113.166 & 136.009 & -22.8427 \tabularnewline
139 & 112.239 & 134.079 & -21.8404 \tabularnewline
140 & 116.15 & 137.232 & -21.0822 \tabularnewline
141 & 170.368 & 170.257 & 0.111395 \tabularnewline
142 & 208.083 & 203.026 & 5.05683 \tabularnewline
143 & 198.458 & 192.276 & 6.18236 \tabularnewline
144 & 202.805 & 179.024 & 23.7812 \tabularnewline
145 & 202.544 & 201.022 & 1.52205 \tabularnewline
146 & 223.361 & 202.571 & 20.7897 \tabularnewline
147 & 169.774 & 167.967 & 1.80713 \tabularnewline
148 & 183.52 & 198.189 & -14.6693 \tabularnewline
149 & 188.62 & 212.861 & -24.2413 \tabularnewline
150 & 202.632 & 215.748 & -13.1157 \tabularnewline
151 & 186.695 & 176.38 & 10.3155 \tabularnewline
152 & 192.818 & 187.479 & 5.33895 \tabularnewline
153 & 198.116 & 222.111 & -23.9945 \tabularnewline
154 & 121.345 & 107.905 & 13.4403 \tabularnewline
155 & 119.1 & 118.225 & 0.874539 \tabularnewline
156 & 117.87 & 121.334 & -3.46405 \tabularnewline
157 & 122.336 & 151.096 & -28.7598 \tabularnewline
158 & 117.963 & 111.311 & 6.6515 \tabularnewline
159 & 126.144 & 158.681 & -32.5368 \tabularnewline
160 & 127.93 & 124.826 & 3.10359 \tabularnewline
161 & 114.238 & 99.0252 & 15.2128 \tabularnewline
162 & 115.322 & 132.181 & -16.8591 \tabularnewline
163 & 114.554 & 107.797 & 6.7569 \tabularnewline
164 & 112.15 & 130.107 & -17.9573 \tabularnewline
165 & 102.273 & 92.3587 & 9.91434 \tabularnewline
166 & 236.2 & 205.831 & 30.369 \tabularnewline
167 & 237.323 & 237.739 & -0.415952 \tabularnewline
168 & 260.105 & 250.073 & 10.0324 \tabularnewline
169 & 197.569 & 207.534 & -9.96539 \tabularnewline
170 & 240.301 & 248.223 & -7.92186 \tabularnewline
171 & 244.99 & 244.312 & 0.677667 \tabularnewline
172 & 112.547 & 136.308 & -23.7608 \tabularnewline
173 & 110.739 & 132.39 & -21.6511 \tabularnewline
174 & 113.715 & 128.933 & -15.2183 \tabularnewline
175 & 117.004 & 134.521 & -17.5174 \tabularnewline
176 & 115.38 & 136.029 & -20.6486 \tabularnewline
177 & 116.388 & 133.432 & -17.0442 \tabularnewline
178 & 151.737 & 153.073 & -1.33567 \tabularnewline
179 & 148.79 & 154.441 & -5.65065 \tabularnewline
180 & 148.143 & 143.96 & 4.18317 \tabularnewline
181 & 150.44 & 143.694 & 6.74592 \tabularnewline
182 & 148.462 & 150.306 & -1.84376 \tabularnewline
183 & 149.818 & 167.254 & -17.4355 \tabularnewline
184 & 117.226 & 131.085 & -13.8587 \tabularnewline
185 & 116.848 & 133.832 & -16.9838 \tabularnewline
186 & 116.286 & 137.085 & -20.799 \tabularnewline
187 & 116.556 & 151.736 & -35.1799 \tabularnewline
188 & 116.342 & 167.407 & -51.0651 \tabularnewline
189 & 114.563 & 136.656 & -22.0934 \tabularnewline
190 & 201.774 & 202.712 & -0.938335 \tabularnewline
191 & 174.188 & 181.687 & -7.4991 \tabularnewline
192 & 209.516 & 195.959 & 13.5573 \tabularnewline
193 & 174.688 & 182.244 & -7.55574 \tabularnewline
194 & 198.764 & 188.406 & 10.3576 \tabularnewline
195 & 214.289 & 171.123 & 43.1664 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=230820&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]119.992[/C][C]104.408[/C][C]15.5838[/C][/ROW]
[ROW][C]2[/C][C]122.4[/C][C]130.237[/C][C]-7.83745[/C][/ROW]
[ROW][C]3[/C][C]116.682[/C][C]115.67[/C][C]1.01188[/C][/ROW]
[ROW][C]4[/C][C]116.676[/C][C]120.343[/C][C]-3.667[/C][/ROW]
[ROW][C]5[/C][C]116.014[/C][C]118.206[/C][C]-2.19155[/C][/ROW]
[ROW][C]6[/C][C]120.552[/C][C]122.149[/C][C]-1.59713[/C][/ROW]
[ROW][C]7[/C][C]120.267[/C][C]119.431[/C][C]0.836024[/C][/ROW]
[ROW][C]8[/C][C]107.332[/C][C]114.25[/C][C]-6.91848[/C][/ROW]
[ROW][C]9[/C][C]95.73[/C][C]90.5128[/C][C]5.21717[/C][/ROW]
[ROW][C]10[/C][C]95.056[/C][C]83.945[/C][C]11.111[/C][/ROW]
[ROW][C]11[/C][C]88.333[/C][C]77.3088[/C][C]11.0242[/C][/ROW]
[ROW][C]12[/C][C]91.904[/C][C]85.2695[/C][C]6.63449[/C][/ROW]
[ROW][C]13[/C][C]136.926[/C][C]166.55[/C][C]-29.6244[/C][/ROW]
[ROW][C]14[/C][C]139.173[/C][C]139.209[/C][C]-0.036389[/C][/ROW]
[ROW][C]15[/C][C]152.845[/C][C]157.974[/C][C]-5.12859[/C][/ROW]
[ROW][C]16[/C][C]142.167[/C][C]146.245[/C][C]-4.07846[/C][/ROW]
[ROW][C]17[/C][C]144.188[/C][C]145.896[/C][C]-1.70751[/C][/ROW]
[ROW][C]18[/C][C]168.778[/C][C]171.911[/C][C]-3.133[/C][/ROW]
[ROW][C]19[/C][C]153.046[/C][C]131.612[/C][C]21.4339[/C][/ROW]
[ROW][C]20[/C][C]156.405[/C][C]158.623[/C][C]-2.21813[/C][/ROW]
[ROW][C]21[/C][C]153.848[/C][C]148.178[/C][C]5.67018[/C][/ROW]
[ROW][C]22[/C][C]153.88[/C][C]137.965[/C][C]15.9152[/C][/ROW]
[ROW][C]23[/C][C]167.93[/C][C]135.068[/C][C]32.8619[/C][/ROW]
[ROW][C]24[/C][C]173.917[/C][C]153.443[/C][C]20.4736[/C][/ROW]
[ROW][C]25[/C][C]163.656[/C][C]146.671[/C][C]16.9853[/C][/ROW]
[ROW][C]26[/C][C]104.4[/C][C]90.741[/C][C]13.659[/C][/ROW]
[ROW][C]27[/C][C]171.041[/C][C]145.704[/C][C]25.337[/C][/ROW]
[ROW][C]28[/C][C]146.845[/C][C]153.238[/C][C]-6.39302[/C][/ROW]
[ROW][C]29[/C][C]155.358[/C][C]161.145[/C][C]-5.78742[/C][/ROW]
[ROW][C]30[/C][C]162.568[/C][C]148.387[/C][C]14.1807[/C][/ROW]
[ROW][C]31[/C][C]197.076[/C][C]199.984[/C][C]-2.90828[/C][/ROW]
[ROW][C]32[/C][C]199.228[/C][C]194.698[/C][C]4.53008[/C][/ROW]
[ROW][C]33[/C][C]198.383[/C][C]184.43[/C][C]13.9527[/C][/ROW]
[ROW][C]34[/C][C]202.266[/C][C]187.298[/C][C]14.9682[/C][/ROW]
[ROW][C]35[/C][C]203.184[/C][C]184.82[/C][C]18.3637[/C][/ROW]
[ROW][C]36[/C][C]201.464[/C][C]194.616[/C][C]6.84814[/C][/ROW]
[ROW][C]37[/C][C]177.876[/C][C]180.005[/C][C]-2.12888[/C][/ROW]
[ROW][C]38[/C][C]176.17[/C][C]169.275[/C][C]6.89492[/C][/ROW]
[ROW][C]39[/C][C]180.198[/C][C]163.128[/C][C]17.0695[/C][/ROW]
[ROW][C]40[/C][C]187.733[/C][C]166.063[/C][C]21.6701[/C][/ROW]
[ROW][C]41[/C][C]186.163[/C][C]167.998[/C][C]18.1654[/C][/ROW]
[ROW][C]42[/C][C]184.055[/C][C]179.775[/C][C]4.28009[/C][/ROW]
[ROW][C]43[/C][C]237.226[/C][C]240.877[/C][C]-3.65144[/C][/ROW]
[ROW][C]44[/C][C]241.404[/C][C]237.288[/C][C]4.11641[/C][/ROW]
[ROW][C]45[/C][C]243.439[/C][C]223.943[/C][C]19.4957[/C][/ROW]
[ROW][C]46[/C][C]242.852[/C][C]227.824[/C][C]15.0279[/C][/ROW]
[ROW][C]47[/C][C]245.51[/C][C]231.341[/C][C]14.1689[/C][/ROW]
[ROW][C]48[/C][C]252.455[/C][C]209.548[/C][C]42.9066[/C][/ROW]
[ROW][C]49[/C][C]122.188[/C][C]129.79[/C][C]-7.602[/C][/ROW]
[ROW][C]50[/C][C]122.964[/C][C]133.516[/C][C]-10.5516[/C][/ROW]
[ROW][C]51[/C][C]124.445[/C][C]129.057[/C][C]-4.61206[/C][/ROW]
[ROW][C]52[/C][C]126.344[/C][C]116.974[/C][C]9.37025[/C][/ROW]
[ROW][C]53[/C][C]128.001[/C][C]146.278[/C][C]-18.2771[/C][/ROW]
[ROW][C]54[/C][C]129.336[/C][C]134.003[/C][C]-4.66739[/C][/ROW]
[ROW][C]55[/C][C]108.807[/C][C]91.5584[/C][C]17.2486[/C][/ROW]
[ROW][C]56[/C][C]109.86[/C][C]91.2501[/C][C]18.6099[/C][/ROW]
[ROW][C]57[/C][C]110.417[/C][C]94.0082[/C][C]16.4088[/C][/ROW]
[ROW][C]58[/C][C]117.274[/C][C]103.48[/C][C]13.7944[/C][/ROW]
[ROW][C]59[/C][C]116.879[/C][C]89.0596[/C][C]27.8194[/C][/ROW]
[ROW][C]60[/C][C]114.847[/C][C]83.7633[/C][C]31.0837[/C][/ROW]
[ROW][C]61[/C][C]209.144[/C][C]195.506[/C][C]13.638[/C][/ROW]
[ROW][C]62[/C][C]223.365[/C][C]197.007[/C][C]26.3583[/C][/ROW]
[ROW][C]63[/C][C]222.236[/C][C]213.655[/C][C]8.58085[/C][/ROW]
[ROW][C]64[/C][C]228.832[/C][C]231.557[/C][C]-2.7252[/C][/ROW]
[ROW][C]65[/C][C]229.401[/C][C]219.987[/C][C]9.41361[/C][/ROW]
[ROW][C]66[/C][C]228.969[/C][C]193.757[/C][C]35.212[/C][/ROW]
[ROW][C]67[/C][C]140.341[/C][C]139.1[/C][C]1.24094[/C][/ROW]
[ROW][C]68[/C][C]136.969[/C][C]127.236[/C][C]9.73309[/C][/ROW]
[ROW][C]69[/C][C]143.533[/C][C]136.003[/C][C]7.52994[/C][/ROW]
[ROW][C]70[/C][C]148.09[/C][C]147.957[/C][C]0.133228[/C][/ROW]
[ROW][C]71[/C][C]142.729[/C][C]124.332[/C][C]18.3974[/C][/ROW]
[ROW][C]72[/C][C]136.358[/C][C]132.345[/C][C]4.01261[/C][/ROW]
[ROW][C]73[/C][C]120.08[/C][C]136.472[/C][C]-16.3922[/C][/ROW]
[ROW][C]74[/C][C]112.014[/C][C]115.097[/C][C]-3.08271[/C][/ROW]
[ROW][C]75[/C][C]110.793[/C][C]123.451[/C][C]-12.6577[/C][/ROW]
[ROW][C]76[/C][C]110.707[/C][C]106.514[/C][C]4.1933[/C][/ROW]
[ROW][C]77[/C][C]112.876[/C][C]132.629[/C][C]-19.753[/C][/ROW]
[ROW][C]78[/C][C]110.568[/C][C]114.851[/C][C]-4.28323[/C][/ROW]
[ROW][C]79[/C][C]95.385[/C][C]96.9259[/C][C]-1.54093[/C][/ROW]
[ROW][C]80[/C][C]100.77[/C][C]87.4754[/C][C]13.2946[/C][/ROW]
[ROW][C]81[/C][C]96.106[/C][C]100.732[/C][C]-4.62614[/C][/ROW]
[ROW][C]82[/C][C]95.605[/C][C]103.896[/C][C]-8.29143[/C][/ROW]
[ROW][C]83[/C][C]100.96[/C][C]102.261[/C][C]-1.30104[/C][/ROW]
[ROW][C]84[/C][C]98.804[/C][C]110.328[/C][C]-11.5242[/C][/ROW]
[ROW][C]85[/C][C]176.858[/C][C]178.054[/C][C]-1.19632[/C][/ROW]
[ROW][C]86[/C][C]180.978[/C][C]190.394[/C][C]-9.41648[/C][/ROW]
[ROW][C]87[/C][C]178.222[/C][C]172.388[/C][C]5.8342[/C][/ROW]
[ROW][C]88[/C][C]176.281[/C][C]177.002[/C][C]-0.721468[/C][/ROW]
[ROW][C]89[/C][C]173.898[/C][C]155.346[/C][C]18.5518[/C][/ROW]
[ROW][C]90[/C][C]179.711[/C][C]185.693[/C][C]-5.98206[/C][/ROW]
[ROW][C]91[/C][C]166.605[/C][C]165.061[/C][C]1.54407[/C][/ROW]
[ROW][C]92[/C][C]151.955[/C][C]173.112[/C][C]-21.1572[/C][/ROW]
[ROW][C]93[/C][C]148.272[/C][C]166.147[/C][C]-17.8753[/C][/ROW]
[ROW][C]94[/C][C]152.125[/C][C]145.276[/C][C]6.84872[/C][/ROW]
[ROW][C]95[/C][C]157.821[/C][C]163.748[/C][C]-5.92727[/C][/ROW]
[ROW][C]96[/C][C]157.447[/C][C]183.862[/C][C]-26.4146[/C][/ROW]
[ROW][C]97[/C][C]159.116[/C][C]178.606[/C][C]-19.4899[/C][/ROW]
[ROW][C]98[/C][C]125.036[/C][C]133.597[/C][C]-8.56118[/C][/ROW]
[ROW][C]99[/C][C]125.791[/C][C]121.972[/C][C]3.8194[/C][/ROW]
[ROW][C]100[/C][C]126.512[/C][C]114.554[/C][C]11.9583[/C][/ROW]
[ROW][C]101[/C][C]125.641[/C][C]112.978[/C][C]12.6626[/C][/ROW]
[ROW][C]102[/C][C]128.451[/C][C]121.627[/C][C]6.82392[/C][/ROW]
[ROW][C]103[/C][C]139.224[/C][C]151.466[/C][C]-12.2424[/C][/ROW]
[ROW][C]104[/C][C]150.258[/C][C]134.712[/C][C]15.5456[/C][/ROW]
[ROW][C]105[/C][C]154.003[/C][C]169.025[/C][C]-15.0223[/C][/ROW]
[ROW][C]106[/C][C]149.689[/C][C]156.169[/C][C]-6.48003[/C][/ROW]
[ROW][C]107[/C][C]155.078[/C][C]175.136[/C][C]-20.0578[/C][/ROW]
[ROW][C]108[/C][C]151.884[/C][C]151.298[/C][C]0.585964[/C][/ROW]
[ROW][C]109[/C][C]151.989[/C][C]171.614[/C][C]-19.6249[/C][/ROW]
[ROW][C]110[/C][C]193.03[/C][C]184.016[/C][C]9.01441[/C][/ROW]
[ROW][C]111[/C][C]200.714[/C][C]189.003[/C][C]11.711[/C][/ROW]
[ROW][C]112[/C][C]208.519[/C][C]214.174[/C][C]-5.65457[/C][/ROW]
[ROW][C]113[/C][C]204.664[/C][C]223.119[/C][C]-18.4555[/C][/ROW]
[ROW][C]114[/C][C]210.141[/C][C]196.5[/C][C]13.6414[/C][/ROW]
[ROW][C]115[/C][C]206.327[/C][C]198.112[/C][C]8.21471[/C][/ROW]
[ROW][C]116[/C][C]151.872[/C][C]157.251[/C][C]-5.37915[/C][/ROW]
[ROW][C]117[/C][C]158.219[/C][C]169.002[/C][C]-10.7834[/C][/ROW]
[ROW][C]118[/C][C]170.756[/C][C]181.63[/C][C]-10.8741[/C][/ROW]
[ROW][C]119[/C][C]178.285[/C][C]169.975[/C][C]8.30998[/C][/ROW]
[ROW][C]120[/C][C]217.116[/C][C]202.945[/C][C]14.171[/C][/ROW]
[ROW][C]121[/C][C]128.94[/C][C]129.892[/C][C]-0.952269[/C][/ROW]
[ROW][C]122[/C][C]176.824[/C][C]155.56[/C][C]21.2644[/C][/ROW]
[ROW][C]123[/C][C]138.19[/C][C]144.362[/C][C]-6.17238[/C][/ROW]
[ROW][C]124[/C][C]182.018[/C][C]167.894[/C][C]14.1236[/C][/ROW]
[ROW][C]125[/C][C]156.239[/C][C]158.143[/C][C]-1.9041[/C][/ROW]
[ROW][C]126[/C][C]145.174[/C][C]139.579[/C][C]5.59543[/C][/ROW]
[ROW][C]127[/C][C]138.145[/C][C]128.18[/C][C]9.96488[/C][/ROW]
[ROW][C]128[/C][C]166.888[/C][C]151.761[/C][C]15.1273[/C][/ROW]
[ROW][C]129[/C][C]119.031[/C][C]138.143[/C][C]-19.1117[/C][/ROW]
[ROW][C]130[/C][C]120.078[/C][C]141.642[/C][C]-21.5642[/C][/ROW]
[ROW][C]131[/C][C]120.289[/C][C]137.009[/C][C]-16.7203[/C][/ROW]
[ROW][C]132[/C][C]120.256[/C][C]145.96[/C][C]-25.7038[/C][/ROW]
[ROW][C]133[/C][C]119.056[/C][C]139.599[/C][C]-20.5433[/C][/ROW]
[ROW][C]134[/C][C]118.747[/C][C]133.244[/C][C]-14.4966[/C][/ROW]
[ROW][C]135[/C][C]106.516[/C][C]106.602[/C][C]-0.0857971[/C][/ROW]
[ROW][C]136[/C][C]110.453[/C][C]138.396[/C][C]-27.9425[/C][/ROW]
[ROW][C]137[/C][C]113.4[/C][C]109.975[/C][C]3.42536[/C][/ROW]
[ROW][C]138[/C][C]113.166[/C][C]136.009[/C][C]-22.8427[/C][/ROW]
[ROW][C]139[/C][C]112.239[/C][C]134.079[/C][C]-21.8404[/C][/ROW]
[ROW][C]140[/C][C]116.15[/C][C]137.232[/C][C]-21.0822[/C][/ROW]
[ROW][C]141[/C][C]170.368[/C][C]170.257[/C][C]0.111395[/C][/ROW]
[ROW][C]142[/C][C]208.083[/C][C]203.026[/C][C]5.05683[/C][/ROW]
[ROW][C]143[/C][C]198.458[/C][C]192.276[/C][C]6.18236[/C][/ROW]
[ROW][C]144[/C][C]202.805[/C][C]179.024[/C][C]23.7812[/C][/ROW]
[ROW][C]145[/C][C]202.544[/C][C]201.022[/C][C]1.52205[/C][/ROW]
[ROW][C]146[/C][C]223.361[/C][C]202.571[/C][C]20.7897[/C][/ROW]
[ROW][C]147[/C][C]169.774[/C][C]167.967[/C][C]1.80713[/C][/ROW]
[ROW][C]148[/C][C]183.52[/C][C]198.189[/C][C]-14.6693[/C][/ROW]
[ROW][C]149[/C][C]188.62[/C][C]212.861[/C][C]-24.2413[/C][/ROW]
[ROW][C]150[/C][C]202.632[/C][C]215.748[/C][C]-13.1157[/C][/ROW]
[ROW][C]151[/C][C]186.695[/C][C]176.38[/C][C]10.3155[/C][/ROW]
[ROW][C]152[/C][C]192.818[/C][C]187.479[/C][C]5.33895[/C][/ROW]
[ROW][C]153[/C][C]198.116[/C][C]222.111[/C][C]-23.9945[/C][/ROW]
[ROW][C]154[/C][C]121.345[/C][C]107.905[/C][C]13.4403[/C][/ROW]
[ROW][C]155[/C][C]119.1[/C][C]118.225[/C][C]0.874539[/C][/ROW]
[ROW][C]156[/C][C]117.87[/C][C]121.334[/C][C]-3.46405[/C][/ROW]
[ROW][C]157[/C][C]122.336[/C][C]151.096[/C][C]-28.7598[/C][/ROW]
[ROW][C]158[/C][C]117.963[/C][C]111.311[/C][C]6.6515[/C][/ROW]
[ROW][C]159[/C][C]126.144[/C][C]158.681[/C][C]-32.5368[/C][/ROW]
[ROW][C]160[/C][C]127.93[/C][C]124.826[/C][C]3.10359[/C][/ROW]
[ROW][C]161[/C][C]114.238[/C][C]99.0252[/C][C]15.2128[/C][/ROW]
[ROW][C]162[/C][C]115.322[/C][C]132.181[/C][C]-16.8591[/C][/ROW]
[ROW][C]163[/C][C]114.554[/C][C]107.797[/C][C]6.7569[/C][/ROW]
[ROW][C]164[/C][C]112.15[/C][C]130.107[/C][C]-17.9573[/C][/ROW]
[ROW][C]165[/C][C]102.273[/C][C]92.3587[/C][C]9.91434[/C][/ROW]
[ROW][C]166[/C][C]236.2[/C][C]205.831[/C][C]30.369[/C][/ROW]
[ROW][C]167[/C][C]237.323[/C][C]237.739[/C][C]-0.415952[/C][/ROW]
[ROW][C]168[/C][C]260.105[/C][C]250.073[/C][C]10.0324[/C][/ROW]
[ROW][C]169[/C][C]197.569[/C][C]207.534[/C][C]-9.96539[/C][/ROW]
[ROW][C]170[/C][C]240.301[/C][C]248.223[/C][C]-7.92186[/C][/ROW]
[ROW][C]171[/C][C]244.99[/C][C]244.312[/C][C]0.677667[/C][/ROW]
[ROW][C]172[/C][C]112.547[/C][C]136.308[/C][C]-23.7608[/C][/ROW]
[ROW][C]173[/C][C]110.739[/C][C]132.39[/C][C]-21.6511[/C][/ROW]
[ROW][C]174[/C][C]113.715[/C][C]128.933[/C][C]-15.2183[/C][/ROW]
[ROW][C]175[/C][C]117.004[/C][C]134.521[/C][C]-17.5174[/C][/ROW]
[ROW][C]176[/C][C]115.38[/C][C]136.029[/C][C]-20.6486[/C][/ROW]
[ROW][C]177[/C][C]116.388[/C][C]133.432[/C][C]-17.0442[/C][/ROW]
[ROW][C]178[/C][C]151.737[/C][C]153.073[/C][C]-1.33567[/C][/ROW]
[ROW][C]179[/C][C]148.79[/C][C]154.441[/C][C]-5.65065[/C][/ROW]
[ROW][C]180[/C][C]148.143[/C][C]143.96[/C][C]4.18317[/C][/ROW]
[ROW][C]181[/C][C]150.44[/C][C]143.694[/C][C]6.74592[/C][/ROW]
[ROW][C]182[/C][C]148.462[/C][C]150.306[/C][C]-1.84376[/C][/ROW]
[ROW][C]183[/C][C]149.818[/C][C]167.254[/C][C]-17.4355[/C][/ROW]
[ROW][C]184[/C][C]117.226[/C][C]131.085[/C][C]-13.8587[/C][/ROW]
[ROW][C]185[/C][C]116.848[/C][C]133.832[/C][C]-16.9838[/C][/ROW]
[ROW][C]186[/C][C]116.286[/C][C]137.085[/C][C]-20.799[/C][/ROW]
[ROW][C]187[/C][C]116.556[/C][C]151.736[/C][C]-35.1799[/C][/ROW]
[ROW][C]188[/C][C]116.342[/C][C]167.407[/C][C]-51.0651[/C][/ROW]
[ROW][C]189[/C][C]114.563[/C][C]136.656[/C][C]-22.0934[/C][/ROW]
[ROW][C]190[/C][C]201.774[/C][C]202.712[/C][C]-0.938335[/C][/ROW]
[ROW][C]191[/C][C]174.188[/C][C]181.687[/C][C]-7.4991[/C][/ROW]
[ROW][C]192[/C][C]209.516[/C][C]195.959[/C][C]13.5573[/C][/ROW]
[ROW][C]193[/C][C]174.688[/C][C]182.244[/C][C]-7.55574[/C][/ROW]
[ROW][C]194[/C][C]198.764[/C][C]188.406[/C][C]10.3576[/C][/ROW]
[ROW][C]195[/C][C]214.289[/C][C]171.123[/C][C]43.1664[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=230820&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=230820&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
1119.992104.40815.5838
2122.4130.237-7.83745
3116.682115.671.01188
4116.676120.343-3.667
5116.014118.206-2.19155
6120.552122.149-1.59713
7120.267119.4310.836024
8107.332114.25-6.91848
995.7390.51285.21717
1095.05683.94511.111
1188.33377.308811.0242
1291.90485.26956.63449
13136.926166.55-29.6244
14139.173139.209-0.036389
15152.845157.974-5.12859
16142.167146.245-4.07846
17144.188145.896-1.70751
18168.778171.911-3.133
19153.046131.61221.4339
20156.405158.623-2.21813
21153.848148.1785.67018
22153.88137.96515.9152
23167.93135.06832.8619
24173.917153.44320.4736
25163.656146.67116.9853
26104.490.74113.659
27171.041145.70425.337
28146.845153.238-6.39302
29155.358161.145-5.78742
30162.568148.38714.1807
31197.076199.984-2.90828
32199.228194.6984.53008
33198.383184.4313.9527
34202.266187.29814.9682
35203.184184.8218.3637
36201.464194.6166.84814
37177.876180.005-2.12888
38176.17169.2756.89492
39180.198163.12817.0695
40187.733166.06321.6701
41186.163167.99818.1654
42184.055179.7754.28009
43237.226240.877-3.65144
44241.404237.2884.11641
45243.439223.94319.4957
46242.852227.82415.0279
47245.51231.34114.1689
48252.455209.54842.9066
49122.188129.79-7.602
50122.964133.516-10.5516
51124.445129.057-4.61206
52126.344116.9749.37025
53128.001146.278-18.2771
54129.336134.003-4.66739
55108.80791.558417.2486
56109.8691.250118.6099
57110.41794.008216.4088
58117.274103.4813.7944
59116.87989.059627.8194
60114.84783.763331.0837
61209.144195.50613.638
62223.365197.00726.3583
63222.236213.6558.58085
64228.832231.557-2.7252
65229.401219.9879.41361
66228.969193.75735.212
67140.341139.11.24094
68136.969127.2369.73309
69143.533136.0037.52994
70148.09147.9570.133228
71142.729124.33218.3974
72136.358132.3454.01261
73120.08136.472-16.3922
74112.014115.097-3.08271
75110.793123.451-12.6577
76110.707106.5144.1933
77112.876132.629-19.753
78110.568114.851-4.28323
7995.38596.9259-1.54093
80100.7787.475413.2946
8196.106100.732-4.62614
8295.605103.896-8.29143
83100.96102.261-1.30104
8498.804110.328-11.5242
85176.858178.054-1.19632
86180.978190.394-9.41648
87178.222172.3885.8342
88176.281177.002-0.721468
89173.898155.34618.5518
90179.711185.693-5.98206
91166.605165.0611.54407
92151.955173.112-21.1572
93148.272166.147-17.8753
94152.125145.2766.84872
95157.821163.748-5.92727
96157.447183.862-26.4146
97159.116178.606-19.4899
98125.036133.597-8.56118
99125.791121.9723.8194
100126.512114.55411.9583
101125.641112.97812.6626
102128.451121.6276.82392
103139.224151.466-12.2424
104150.258134.71215.5456
105154.003169.025-15.0223
106149.689156.169-6.48003
107155.078175.136-20.0578
108151.884151.2980.585964
109151.989171.614-19.6249
110193.03184.0169.01441
111200.714189.00311.711
112208.519214.174-5.65457
113204.664223.119-18.4555
114210.141196.513.6414
115206.327198.1128.21471
116151.872157.251-5.37915
117158.219169.002-10.7834
118170.756181.63-10.8741
119178.285169.9758.30998
120217.116202.94514.171
121128.94129.892-0.952269
122176.824155.5621.2644
123138.19144.362-6.17238
124182.018167.89414.1236
125156.239158.143-1.9041
126145.174139.5795.59543
127138.145128.189.96488
128166.888151.76115.1273
129119.031138.143-19.1117
130120.078141.642-21.5642
131120.289137.009-16.7203
132120.256145.96-25.7038
133119.056139.599-20.5433
134118.747133.244-14.4966
135106.516106.602-0.0857971
136110.453138.396-27.9425
137113.4109.9753.42536
138113.166136.009-22.8427
139112.239134.079-21.8404
140116.15137.232-21.0822
141170.368170.2570.111395
142208.083203.0265.05683
143198.458192.2766.18236
144202.805179.02423.7812
145202.544201.0221.52205
146223.361202.57120.7897
147169.774167.9671.80713
148183.52198.189-14.6693
149188.62212.861-24.2413
150202.632215.748-13.1157
151186.695176.3810.3155
152192.818187.4795.33895
153198.116222.111-23.9945
154121.345107.90513.4403
155119.1118.2250.874539
156117.87121.334-3.46405
157122.336151.096-28.7598
158117.963111.3116.6515
159126.144158.681-32.5368
160127.93124.8263.10359
161114.23899.025215.2128
162115.322132.181-16.8591
163114.554107.7976.7569
164112.15130.107-17.9573
165102.27392.35879.91434
166236.2205.83130.369
167237.323237.739-0.415952
168260.105250.07310.0324
169197.569207.534-9.96539
170240.301248.223-7.92186
171244.99244.3120.677667
172112.547136.308-23.7608
173110.739132.39-21.6511
174113.715128.933-15.2183
175117.004134.521-17.5174
176115.38136.029-20.6486
177116.388133.432-17.0442
178151.737153.073-1.33567
179148.79154.441-5.65065
180148.143143.964.18317
181150.44143.6946.74592
182148.462150.306-1.84376
183149.818167.254-17.4355
184117.226131.085-13.8587
185116.848133.832-16.9838
186116.286137.085-20.799
187116.556151.736-35.1799
188116.342167.407-51.0651
189114.563136.656-22.0934
190201.774202.712-0.938335
191174.188181.687-7.4991
192209.516195.95913.5573
193174.688182.244-7.55574
194198.764188.40610.3576
195214.289171.12343.1664







Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
260.1973290.3946580.802671
270.09743270.1948650.902567
280.08861110.1772220.911389
290.04118140.08236280.958819
300.01867990.03735980.98132
310.007698080.01539620.992302
320.004224320.008448650.995776
330.002630970.005261950.997369
340.001736580.003473170.998263
350.000796320.001592640.999204
360.000319230.000638460.999681
370.0002090.0004180.999791
388.34131e-050.0001668260.999917
390.0003187250.0006374490.999681
400.0004394250.0008788490.999561
410.000331320.000662640.999669
420.0001604510.0003209020.99984
430.0001893190.0003786370.999811
440.0001529990.0003059980.999847
450.0002587710.0005175420.999741
460.0002912820.0005825640.999709
470.0003056160.0006112320.999694
480.01395320.02790640.986047
490.00950390.01900780.990496
500.007403780.01480760.992596
510.004642610.009285220.995357
520.003745380.007490760.996255
530.00243970.00487940.99756
540.001549960.003099930.99845
550.007669810.01533960.99233
560.01342440.02684880.986576
570.01156580.02313160.988434
580.01547390.03094790.984526
590.02448870.04897730.975511
600.04677690.09355380.953223
610.03798420.07596850.962016
620.05385050.1077010.946149
630.05435790.1087160.945642
640.05819460.1163890.941805
650.05965120.1193020.940349
660.1239350.2478710.876065
670.1065880.2131770.893412
680.08581640.1716330.914184
690.06874420.1374880.931256
700.08141380.1628280.918586
710.06853320.1370660.931467
720.05754370.1150870.942456
730.05203840.1040770.947962
740.2164330.4328660.783567
750.2883980.5767950.711602
760.2535440.5070880.746456
770.2361910.4723820.763809
780.2072220.4144450.792778
790.2060830.4121650.793917
800.221390.442780.77861
810.2513590.5027180.748641
820.2333250.4666510.766675
830.2601390.5202770.739861
840.3069490.6138970.693051
850.3653750.730750.634625
860.3248750.6497510.675125
870.3284970.6569950.671503
880.2906170.5812330.709383
890.3387010.6774020.661299
900.3216410.6432820.678359
910.2843920.5687840.715608
920.2931310.5862620.706869
930.2902030.5804050.709797
940.2807670.5615330.719233
950.2430210.4860420.756979
960.284680.5693610.71532
970.3078740.6157490.692126
980.2757010.5514030.724299
990.241870.4837410.75813
1000.227930.4558610.77207
1010.2115280.4230550.788472
1020.2061050.412210.793895
1030.2580450.516090.741955
1040.274440.548880.72556
1050.2715650.5431310.728435
1060.2350320.4700640.764968
1070.2124760.4249520.787524
1080.1806850.361370.819315
1090.1798780.3597570.820122
1100.1593430.3186870.840657
1110.1411040.2822080.858896
1120.1246310.2492610.875369
1130.1300640.2601270.869936
1140.151230.302460.84877
1150.12560.2512010.8744
1160.1070220.2140430.892978
1170.09565660.1913130.904343
1180.08155230.1631050.918448
1190.07964580.1592920.920354
1200.1139180.2278360.886082
1210.1478720.2957450.852128
1220.190660.3813190.80934
1230.1692710.3385410.830729
1240.1566380.3132770.843362
1250.1332790.2665580.866721
1260.1299440.2598890.870056
1270.1395720.2791430.860428
1280.2883860.5767720.711614
1290.2771880.5543750.722812
1300.2689270.5378540.731073
1310.2515140.5030290.748486
1320.2617980.5235960.738202
1330.2782970.5565950.721703
1340.2599680.5199360.740032
1350.4102030.8204070.589797
1360.4711020.9422030.528898
1370.4215360.8430710.578464
1380.4737620.9475240.526238
1390.5036520.9926950.496348
1400.7079580.5840830.292042
1410.6669910.6660170.333009
1420.6382190.7235620.361781
1430.6439570.7120860.356043
1440.6626430.6747150.337357
1450.7193340.5613330.280666
1460.7087990.5824010.291201
1470.6995960.6008080.300404
1480.6770060.6459870.322994
1490.6973120.6053770.302688
1500.6411060.7177880.358894
1510.6790630.6418750.320937
1520.6434180.7131640.356582
1530.6320570.7358850.367943
1540.6252160.7495680.374784
1550.6337480.7325030.366252
1560.7906590.4186830.209341
1570.7561710.4876570.243829
1580.6916410.6167180.308359
1590.6951790.6096410.304821
1600.6242520.7514960.375748
1610.5391120.9217770.460888
1620.6880520.6238950.311948
1630.5957280.8085450.404272
1640.5860670.8278660.413933
1650.6747150.6505710.325285
1660.903670.192660.0963301
1670.9687830.06243340.0312167
1680.9517510.09649870.0482493
1690.8974240.2051520.102576

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
26 & 0.197329 & 0.394658 & 0.802671 \tabularnewline
27 & 0.0974327 & 0.194865 & 0.902567 \tabularnewline
28 & 0.0886111 & 0.177222 & 0.911389 \tabularnewline
29 & 0.0411814 & 0.0823628 & 0.958819 \tabularnewline
30 & 0.0186799 & 0.0373598 & 0.98132 \tabularnewline
31 & 0.00769808 & 0.0153962 & 0.992302 \tabularnewline
32 & 0.00422432 & 0.00844865 & 0.995776 \tabularnewline
33 & 0.00263097 & 0.00526195 & 0.997369 \tabularnewline
34 & 0.00173658 & 0.00347317 & 0.998263 \tabularnewline
35 & 0.00079632 & 0.00159264 & 0.999204 \tabularnewline
36 & 0.00031923 & 0.00063846 & 0.999681 \tabularnewline
37 & 0.000209 & 0.000418 & 0.999791 \tabularnewline
38 & 8.34131e-05 & 0.000166826 & 0.999917 \tabularnewline
39 & 0.000318725 & 0.000637449 & 0.999681 \tabularnewline
40 & 0.000439425 & 0.000878849 & 0.999561 \tabularnewline
41 & 0.00033132 & 0.00066264 & 0.999669 \tabularnewline
42 & 0.000160451 & 0.000320902 & 0.99984 \tabularnewline
43 & 0.000189319 & 0.000378637 & 0.999811 \tabularnewline
44 & 0.000152999 & 0.000305998 & 0.999847 \tabularnewline
45 & 0.000258771 & 0.000517542 & 0.999741 \tabularnewline
46 & 0.000291282 & 0.000582564 & 0.999709 \tabularnewline
47 & 0.000305616 & 0.000611232 & 0.999694 \tabularnewline
48 & 0.0139532 & 0.0279064 & 0.986047 \tabularnewline
49 & 0.0095039 & 0.0190078 & 0.990496 \tabularnewline
50 & 0.00740378 & 0.0148076 & 0.992596 \tabularnewline
51 & 0.00464261 & 0.00928522 & 0.995357 \tabularnewline
52 & 0.00374538 & 0.00749076 & 0.996255 \tabularnewline
53 & 0.0024397 & 0.0048794 & 0.99756 \tabularnewline
54 & 0.00154996 & 0.00309993 & 0.99845 \tabularnewline
55 & 0.00766981 & 0.0153396 & 0.99233 \tabularnewline
56 & 0.0134244 & 0.0268488 & 0.986576 \tabularnewline
57 & 0.0115658 & 0.0231316 & 0.988434 \tabularnewline
58 & 0.0154739 & 0.0309479 & 0.984526 \tabularnewline
59 & 0.0244887 & 0.0489773 & 0.975511 \tabularnewline
60 & 0.0467769 & 0.0935538 & 0.953223 \tabularnewline
61 & 0.0379842 & 0.0759685 & 0.962016 \tabularnewline
62 & 0.0538505 & 0.107701 & 0.946149 \tabularnewline
63 & 0.0543579 & 0.108716 & 0.945642 \tabularnewline
64 & 0.0581946 & 0.116389 & 0.941805 \tabularnewline
65 & 0.0596512 & 0.119302 & 0.940349 \tabularnewline
66 & 0.123935 & 0.247871 & 0.876065 \tabularnewline
67 & 0.106588 & 0.213177 & 0.893412 \tabularnewline
68 & 0.0858164 & 0.171633 & 0.914184 \tabularnewline
69 & 0.0687442 & 0.137488 & 0.931256 \tabularnewline
70 & 0.0814138 & 0.162828 & 0.918586 \tabularnewline
71 & 0.0685332 & 0.137066 & 0.931467 \tabularnewline
72 & 0.0575437 & 0.115087 & 0.942456 \tabularnewline
73 & 0.0520384 & 0.104077 & 0.947962 \tabularnewline
74 & 0.216433 & 0.432866 & 0.783567 \tabularnewline
75 & 0.288398 & 0.576795 & 0.711602 \tabularnewline
76 & 0.253544 & 0.507088 & 0.746456 \tabularnewline
77 & 0.236191 & 0.472382 & 0.763809 \tabularnewline
78 & 0.207222 & 0.414445 & 0.792778 \tabularnewline
79 & 0.206083 & 0.412165 & 0.793917 \tabularnewline
80 & 0.22139 & 0.44278 & 0.77861 \tabularnewline
81 & 0.251359 & 0.502718 & 0.748641 \tabularnewline
82 & 0.233325 & 0.466651 & 0.766675 \tabularnewline
83 & 0.260139 & 0.520277 & 0.739861 \tabularnewline
84 & 0.306949 & 0.613897 & 0.693051 \tabularnewline
85 & 0.365375 & 0.73075 & 0.634625 \tabularnewline
86 & 0.324875 & 0.649751 & 0.675125 \tabularnewline
87 & 0.328497 & 0.656995 & 0.671503 \tabularnewline
88 & 0.290617 & 0.581233 & 0.709383 \tabularnewline
89 & 0.338701 & 0.677402 & 0.661299 \tabularnewline
90 & 0.321641 & 0.643282 & 0.678359 \tabularnewline
91 & 0.284392 & 0.568784 & 0.715608 \tabularnewline
92 & 0.293131 & 0.586262 & 0.706869 \tabularnewline
93 & 0.290203 & 0.580405 & 0.709797 \tabularnewline
94 & 0.280767 & 0.561533 & 0.719233 \tabularnewline
95 & 0.243021 & 0.486042 & 0.756979 \tabularnewline
96 & 0.28468 & 0.569361 & 0.71532 \tabularnewline
97 & 0.307874 & 0.615749 & 0.692126 \tabularnewline
98 & 0.275701 & 0.551403 & 0.724299 \tabularnewline
99 & 0.24187 & 0.483741 & 0.75813 \tabularnewline
100 & 0.22793 & 0.455861 & 0.77207 \tabularnewline
101 & 0.211528 & 0.423055 & 0.788472 \tabularnewline
102 & 0.206105 & 0.41221 & 0.793895 \tabularnewline
103 & 0.258045 & 0.51609 & 0.741955 \tabularnewline
104 & 0.27444 & 0.54888 & 0.72556 \tabularnewline
105 & 0.271565 & 0.543131 & 0.728435 \tabularnewline
106 & 0.235032 & 0.470064 & 0.764968 \tabularnewline
107 & 0.212476 & 0.424952 & 0.787524 \tabularnewline
108 & 0.180685 & 0.36137 & 0.819315 \tabularnewline
109 & 0.179878 & 0.359757 & 0.820122 \tabularnewline
110 & 0.159343 & 0.318687 & 0.840657 \tabularnewline
111 & 0.141104 & 0.282208 & 0.858896 \tabularnewline
112 & 0.124631 & 0.249261 & 0.875369 \tabularnewline
113 & 0.130064 & 0.260127 & 0.869936 \tabularnewline
114 & 0.15123 & 0.30246 & 0.84877 \tabularnewline
115 & 0.1256 & 0.251201 & 0.8744 \tabularnewline
116 & 0.107022 & 0.214043 & 0.892978 \tabularnewline
117 & 0.0956566 & 0.191313 & 0.904343 \tabularnewline
118 & 0.0815523 & 0.163105 & 0.918448 \tabularnewline
119 & 0.0796458 & 0.159292 & 0.920354 \tabularnewline
120 & 0.113918 & 0.227836 & 0.886082 \tabularnewline
121 & 0.147872 & 0.295745 & 0.852128 \tabularnewline
122 & 0.19066 & 0.381319 & 0.80934 \tabularnewline
123 & 0.169271 & 0.338541 & 0.830729 \tabularnewline
124 & 0.156638 & 0.313277 & 0.843362 \tabularnewline
125 & 0.133279 & 0.266558 & 0.866721 \tabularnewline
126 & 0.129944 & 0.259889 & 0.870056 \tabularnewline
127 & 0.139572 & 0.279143 & 0.860428 \tabularnewline
128 & 0.288386 & 0.576772 & 0.711614 \tabularnewline
129 & 0.277188 & 0.554375 & 0.722812 \tabularnewline
130 & 0.268927 & 0.537854 & 0.731073 \tabularnewline
131 & 0.251514 & 0.503029 & 0.748486 \tabularnewline
132 & 0.261798 & 0.523596 & 0.738202 \tabularnewline
133 & 0.278297 & 0.556595 & 0.721703 \tabularnewline
134 & 0.259968 & 0.519936 & 0.740032 \tabularnewline
135 & 0.410203 & 0.820407 & 0.589797 \tabularnewline
136 & 0.471102 & 0.942203 & 0.528898 \tabularnewline
137 & 0.421536 & 0.843071 & 0.578464 \tabularnewline
138 & 0.473762 & 0.947524 & 0.526238 \tabularnewline
139 & 0.503652 & 0.992695 & 0.496348 \tabularnewline
140 & 0.707958 & 0.584083 & 0.292042 \tabularnewline
141 & 0.666991 & 0.666017 & 0.333009 \tabularnewline
142 & 0.638219 & 0.723562 & 0.361781 \tabularnewline
143 & 0.643957 & 0.712086 & 0.356043 \tabularnewline
144 & 0.662643 & 0.674715 & 0.337357 \tabularnewline
145 & 0.719334 & 0.561333 & 0.280666 \tabularnewline
146 & 0.708799 & 0.582401 & 0.291201 \tabularnewline
147 & 0.699596 & 0.600808 & 0.300404 \tabularnewline
148 & 0.677006 & 0.645987 & 0.322994 \tabularnewline
149 & 0.697312 & 0.605377 & 0.302688 \tabularnewline
150 & 0.641106 & 0.717788 & 0.358894 \tabularnewline
151 & 0.679063 & 0.641875 & 0.320937 \tabularnewline
152 & 0.643418 & 0.713164 & 0.356582 \tabularnewline
153 & 0.632057 & 0.735885 & 0.367943 \tabularnewline
154 & 0.625216 & 0.749568 & 0.374784 \tabularnewline
155 & 0.633748 & 0.732503 & 0.366252 \tabularnewline
156 & 0.790659 & 0.418683 & 0.209341 \tabularnewline
157 & 0.756171 & 0.487657 & 0.243829 \tabularnewline
158 & 0.691641 & 0.616718 & 0.308359 \tabularnewline
159 & 0.695179 & 0.609641 & 0.304821 \tabularnewline
160 & 0.624252 & 0.751496 & 0.375748 \tabularnewline
161 & 0.539112 & 0.921777 & 0.460888 \tabularnewline
162 & 0.688052 & 0.623895 & 0.311948 \tabularnewline
163 & 0.595728 & 0.808545 & 0.404272 \tabularnewline
164 & 0.586067 & 0.827866 & 0.413933 \tabularnewline
165 & 0.674715 & 0.650571 & 0.325285 \tabularnewline
166 & 0.90367 & 0.19266 & 0.0963301 \tabularnewline
167 & 0.968783 & 0.0624334 & 0.0312167 \tabularnewline
168 & 0.951751 & 0.0964987 & 0.0482493 \tabularnewline
169 & 0.897424 & 0.205152 & 0.102576 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=230820&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]0.197329[/C][C]0.394658[/C][C]0.802671[/C][/ROW]
[ROW][C]27[/C][C]0.0974327[/C][C]0.194865[/C][C]0.902567[/C][/ROW]
[ROW][C]28[/C][C]0.0886111[/C][C]0.177222[/C][C]0.911389[/C][/ROW]
[ROW][C]29[/C][C]0.0411814[/C][C]0.0823628[/C][C]0.958819[/C][/ROW]
[ROW][C]30[/C][C]0.0186799[/C][C]0.0373598[/C][C]0.98132[/C][/ROW]
[ROW][C]31[/C][C]0.00769808[/C][C]0.0153962[/C][C]0.992302[/C][/ROW]
[ROW][C]32[/C][C]0.00422432[/C][C]0.00844865[/C][C]0.995776[/C][/ROW]
[ROW][C]33[/C][C]0.00263097[/C][C]0.00526195[/C][C]0.997369[/C][/ROW]
[ROW][C]34[/C][C]0.00173658[/C][C]0.00347317[/C][C]0.998263[/C][/ROW]
[ROW][C]35[/C][C]0.00079632[/C][C]0.00159264[/C][C]0.999204[/C][/ROW]
[ROW][C]36[/C][C]0.00031923[/C][C]0.00063846[/C][C]0.999681[/C][/ROW]
[ROW][C]37[/C][C]0.000209[/C][C]0.000418[/C][C]0.999791[/C][/ROW]
[ROW][C]38[/C][C]8.34131e-05[/C][C]0.000166826[/C][C]0.999917[/C][/ROW]
[ROW][C]39[/C][C]0.000318725[/C][C]0.000637449[/C][C]0.999681[/C][/ROW]
[ROW][C]40[/C][C]0.000439425[/C][C]0.000878849[/C][C]0.999561[/C][/ROW]
[ROW][C]41[/C][C]0.00033132[/C][C]0.00066264[/C][C]0.999669[/C][/ROW]
[ROW][C]42[/C][C]0.000160451[/C][C]0.000320902[/C][C]0.99984[/C][/ROW]
[ROW][C]43[/C][C]0.000189319[/C][C]0.000378637[/C][C]0.999811[/C][/ROW]
[ROW][C]44[/C][C]0.000152999[/C][C]0.000305998[/C][C]0.999847[/C][/ROW]
[ROW][C]45[/C][C]0.000258771[/C][C]0.000517542[/C][C]0.999741[/C][/ROW]
[ROW][C]46[/C][C]0.000291282[/C][C]0.000582564[/C][C]0.999709[/C][/ROW]
[ROW][C]47[/C][C]0.000305616[/C][C]0.000611232[/C][C]0.999694[/C][/ROW]
[ROW][C]48[/C][C]0.0139532[/C][C]0.0279064[/C][C]0.986047[/C][/ROW]
[ROW][C]49[/C][C]0.0095039[/C][C]0.0190078[/C][C]0.990496[/C][/ROW]
[ROW][C]50[/C][C]0.00740378[/C][C]0.0148076[/C][C]0.992596[/C][/ROW]
[ROW][C]51[/C][C]0.00464261[/C][C]0.00928522[/C][C]0.995357[/C][/ROW]
[ROW][C]52[/C][C]0.00374538[/C][C]0.00749076[/C][C]0.996255[/C][/ROW]
[ROW][C]53[/C][C]0.0024397[/C][C]0.0048794[/C][C]0.99756[/C][/ROW]
[ROW][C]54[/C][C]0.00154996[/C][C]0.00309993[/C][C]0.99845[/C][/ROW]
[ROW][C]55[/C][C]0.00766981[/C][C]0.0153396[/C][C]0.99233[/C][/ROW]
[ROW][C]56[/C][C]0.0134244[/C][C]0.0268488[/C][C]0.986576[/C][/ROW]
[ROW][C]57[/C][C]0.0115658[/C][C]0.0231316[/C][C]0.988434[/C][/ROW]
[ROW][C]58[/C][C]0.0154739[/C][C]0.0309479[/C][C]0.984526[/C][/ROW]
[ROW][C]59[/C][C]0.0244887[/C][C]0.0489773[/C][C]0.975511[/C][/ROW]
[ROW][C]60[/C][C]0.0467769[/C][C]0.0935538[/C][C]0.953223[/C][/ROW]
[ROW][C]61[/C][C]0.0379842[/C][C]0.0759685[/C][C]0.962016[/C][/ROW]
[ROW][C]62[/C][C]0.0538505[/C][C]0.107701[/C][C]0.946149[/C][/ROW]
[ROW][C]63[/C][C]0.0543579[/C][C]0.108716[/C][C]0.945642[/C][/ROW]
[ROW][C]64[/C][C]0.0581946[/C][C]0.116389[/C][C]0.941805[/C][/ROW]
[ROW][C]65[/C][C]0.0596512[/C][C]0.119302[/C][C]0.940349[/C][/ROW]
[ROW][C]66[/C][C]0.123935[/C][C]0.247871[/C][C]0.876065[/C][/ROW]
[ROW][C]67[/C][C]0.106588[/C][C]0.213177[/C][C]0.893412[/C][/ROW]
[ROW][C]68[/C][C]0.0858164[/C][C]0.171633[/C][C]0.914184[/C][/ROW]
[ROW][C]69[/C][C]0.0687442[/C][C]0.137488[/C][C]0.931256[/C][/ROW]
[ROW][C]70[/C][C]0.0814138[/C][C]0.162828[/C][C]0.918586[/C][/ROW]
[ROW][C]71[/C][C]0.0685332[/C][C]0.137066[/C][C]0.931467[/C][/ROW]
[ROW][C]72[/C][C]0.0575437[/C][C]0.115087[/C][C]0.942456[/C][/ROW]
[ROW][C]73[/C][C]0.0520384[/C][C]0.104077[/C][C]0.947962[/C][/ROW]
[ROW][C]74[/C][C]0.216433[/C][C]0.432866[/C][C]0.783567[/C][/ROW]
[ROW][C]75[/C][C]0.288398[/C][C]0.576795[/C][C]0.711602[/C][/ROW]
[ROW][C]76[/C][C]0.253544[/C][C]0.507088[/C][C]0.746456[/C][/ROW]
[ROW][C]77[/C][C]0.236191[/C][C]0.472382[/C][C]0.763809[/C][/ROW]
[ROW][C]78[/C][C]0.207222[/C][C]0.414445[/C][C]0.792778[/C][/ROW]
[ROW][C]79[/C][C]0.206083[/C][C]0.412165[/C][C]0.793917[/C][/ROW]
[ROW][C]80[/C][C]0.22139[/C][C]0.44278[/C][C]0.77861[/C][/ROW]
[ROW][C]81[/C][C]0.251359[/C][C]0.502718[/C][C]0.748641[/C][/ROW]
[ROW][C]82[/C][C]0.233325[/C][C]0.466651[/C][C]0.766675[/C][/ROW]
[ROW][C]83[/C][C]0.260139[/C][C]0.520277[/C][C]0.739861[/C][/ROW]
[ROW][C]84[/C][C]0.306949[/C][C]0.613897[/C][C]0.693051[/C][/ROW]
[ROW][C]85[/C][C]0.365375[/C][C]0.73075[/C][C]0.634625[/C][/ROW]
[ROW][C]86[/C][C]0.324875[/C][C]0.649751[/C][C]0.675125[/C][/ROW]
[ROW][C]87[/C][C]0.328497[/C][C]0.656995[/C][C]0.671503[/C][/ROW]
[ROW][C]88[/C][C]0.290617[/C][C]0.581233[/C][C]0.709383[/C][/ROW]
[ROW][C]89[/C][C]0.338701[/C][C]0.677402[/C][C]0.661299[/C][/ROW]
[ROW][C]90[/C][C]0.321641[/C][C]0.643282[/C][C]0.678359[/C][/ROW]
[ROW][C]91[/C][C]0.284392[/C][C]0.568784[/C][C]0.715608[/C][/ROW]
[ROW][C]92[/C][C]0.293131[/C][C]0.586262[/C][C]0.706869[/C][/ROW]
[ROW][C]93[/C][C]0.290203[/C][C]0.580405[/C][C]0.709797[/C][/ROW]
[ROW][C]94[/C][C]0.280767[/C][C]0.561533[/C][C]0.719233[/C][/ROW]
[ROW][C]95[/C][C]0.243021[/C][C]0.486042[/C][C]0.756979[/C][/ROW]
[ROW][C]96[/C][C]0.28468[/C][C]0.569361[/C][C]0.71532[/C][/ROW]
[ROW][C]97[/C][C]0.307874[/C][C]0.615749[/C][C]0.692126[/C][/ROW]
[ROW][C]98[/C][C]0.275701[/C][C]0.551403[/C][C]0.724299[/C][/ROW]
[ROW][C]99[/C][C]0.24187[/C][C]0.483741[/C][C]0.75813[/C][/ROW]
[ROW][C]100[/C][C]0.22793[/C][C]0.455861[/C][C]0.77207[/C][/ROW]
[ROW][C]101[/C][C]0.211528[/C][C]0.423055[/C][C]0.788472[/C][/ROW]
[ROW][C]102[/C][C]0.206105[/C][C]0.41221[/C][C]0.793895[/C][/ROW]
[ROW][C]103[/C][C]0.258045[/C][C]0.51609[/C][C]0.741955[/C][/ROW]
[ROW][C]104[/C][C]0.27444[/C][C]0.54888[/C][C]0.72556[/C][/ROW]
[ROW][C]105[/C][C]0.271565[/C][C]0.543131[/C][C]0.728435[/C][/ROW]
[ROW][C]106[/C][C]0.235032[/C][C]0.470064[/C][C]0.764968[/C][/ROW]
[ROW][C]107[/C][C]0.212476[/C][C]0.424952[/C][C]0.787524[/C][/ROW]
[ROW][C]108[/C][C]0.180685[/C][C]0.36137[/C][C]0.819315[/C][/ROW]
[ROW][C]109[/C][C]0.179878[/C][C]0.359757[/C][C]0.820122[/C][/ROW]
[ROW][C]110[/C][C]0.159343[/C][C]0.318687[/C][C]0.840657[/C][/ROW]
[ROW][C]111[/C][C]0.141104[/C][C]0.282208[/C][C]0.858896[/C][/ROW]
[ROW][C]112[/C][C]0.124631[/C][C]0.249261[/C][C]0.875369[/C][/ROW]
[ROW][C]113[/C][C]0.130064[/C][C]0.260127[/C][C]0.869936[/C][/ROW]
[ROW][C]114[/C][C]0.15123[/C][C]0.30246[/C][C]0.84877[/C][/ROW]
[ROW][C]115[/C][C]0.1256[/C][C]0.251201[/C][C]0.8744[/C][/ROW]
[ROW][C]116[/C][C]0.107022[/C][C]0.214043[/C][C]0.892978[/C][/ROW]
[ROW][C]117[/C][C]0.0956566[/C][C]0.191313[/C][C]0.904343[/C][/ROW]
[ROW][C]118[/C][C]0.0815523[/C][C]0.163105[/C][C]0.918448[/C][/ROW]
[ROW][C]119[/C][C]0.0796458[/C][C]0.159292[/C][C]0.920354[/C][/ROW]
[ROW][C]120[/C][C]0.113918[/C][C]0.227836[/C][C]0.886082[/C][/ROW]
[ROW][C]121[/C][C]0.147872[/C][C]0.295745[/C][C]0.852128[/C][/ROW]
[ROW][C]122[/C][C]0.19066[/C][C]0.381319[/C][C]0.80934[/C][/ROW]
[ROW][C]123[/C][C]0.169271[/C][C]0.338541[/C][C]0.830729[/C][/ROW]
[ROW][C]124[/C][C]0.156638[/C][C]0.313277[/C][C]0.843362[/C][/ROW]
[ROW][C]125[/C][C]0.133279[/C][C]0.266558[/C][C]0.866721[/C][/ROW]
[ROW][C]126[/C][C]0.129944[/C][C]0.259889[/C][C]0.870056[/C][/ROW]
[ROW][C]127[/C][C]0.139572[/C][C]0.279143[/C][C]0.860428[/C][/ROW]
[ROW][C]128[/C][C]0.288386[/C][C]0.576772[/C][C]0.711614[/C][/ROW]
[ROW][C]129[/C][C]0.277188[/C][C]0.554375[/C][C]0.722812[/C][/ROW]
[ROW][C]130[/C][C]0.268927[/C][C]0.537854[/C][C]0.731073[/C][/ROW]
[ROW][C]131[/C][C]0.251514[/C][C]0.503029[/C][C]0.748486[/C][/ROW]
[ROW][C]132[/C][C]0.261798[/C][C]0.523596[/C][C]0.738202[/C][/ROW]
[ROW][C]133[/C][C]0.278297[/C][C]0.556595[/C][C]0.721703[/C][/ROW]
[ROW][C]134[/C][C]0.259968[/C][C]0.519936[/C][C]0.740032[/C][/ROW]
[ROW][C]135[/C][C]0.410203[/C][C]0.820407[/C][C]0.589797[/C][/ROW]
[ROW][C]136[/C][C]0.471102[/C][C]0.942203[/C][C]0.528898[/C][/ROW]
[ROW][C]137[/C][C]0.421536[/C][C]0.843071[/C][C]0.578464[/C][/ROW]
[ROW][C]138[/C][C]0.473762[/C][C]0.947524[/C][C]0.526238[/C][/ROW]
[ROW][C]139[/C][C]0.503652[/C][C]0.992695[/C][C]0.496348[/C][/ROW]
[ROW][C]140[/C][C]0.707958[/C][C]0.584083[/C][C]0.292042[/C][/ROW]
[ROW][C]141[/C][C]0.666991[/C][C]0.666017[/C][C]0.333009[/C][/ROW]
[ROW][C]142[/C][C]0.638219[/C][C]0.723562[/C][C]0.361781[/C][/ROW]
[ROW][C]143[/C][C]0.643957[/C][C]0.712086[/C][C]0.356043[/C][/ROW]
[ROW][C]144[/C][C]0.662643[/C][C]0.674715[/C][C]0.337357[/C][/ROW]
[ROW][C]145[/C][C]0.719334[/C][C]0.561333[/C][C]0.280666[/C][/ROW]
[ROW][C]146[/C][C]0.708799[/C][C]0.582401[/C][C]0.291201[/C][/ROW]
[ROW][C]147[/C][C]0.699596[/C][C]0.600808[/C][C]0.300404[/C][/ROW]
[ROW][C]148[/C][C]0.677006[/C][C]0.645987[/C][C]0.322994[/C][/ROW]
[ROW][C]149[/C][C]0.697312[/C][C]0.605377[/C][C]0.302688[/C][/ROW]
[ROW][C]150[/C][C]0.641106[/C][C]0.717788[/C][C]0.358894[/C][/ROW]
[ROW][C]151[/C][C]0.679063[/C][C]0.641875[/C][C]0.320937[/C][/ROW]
[ROW][C]152[/C][C]0.643418[/C][C]0.713164[/C][C]0.356582[/C][/ROW]
[ROW][C]153[/C][C]0.632057[/C][C]0.735885[/C][C]0.367943[/C][/ROW]
[ROW][C]154[/C][C]0.625216[/C][C]0.749568[/C][C]0.374784[/C][/ROW]
[ROW][C]155[/C][C]0.633748[/C][C]0.732503[/C][C]0.366252[/C][/ROW]
[ROW][C]156[/C][C]0.790659[/C][C]0.418683[/C][C]0.209341[/C][/ROW]
[ROW][C]157[/C][C]0.756171[/C][C]0.487657[/C][C]0.243829[/C][/ROW]
[ROW][C]158[/C][C]0.691641[/C][C]0.616718[/C][C]0.308359[/C][/ROW]
[ROW][C]159[/C][C]0.695179[/C][C]0.609641[/C][C]0.304821[/C][/ROW]
[ROW][C]160[/C][C]0.624252[/C][C]0.751496[/C][C]0.375748[/C][/ROW]
[ROW][C]161[/C][C]0.539112[/C][C]0.921777[/C][C]0.460888[/C][/ROW]
[ROW][C]162[/C][C]0.688052[/C][C]0.623895[/C][C]0.311948[/C][/ROW]
[ROW][C]163[/C][C]0.595728[/C][C]0.808545[/C][C]0.404272[/C][/ROW]
[ROW][C]164[/C][C]0.586067[/C][C]0.827866[/C][C]0.413933[/C][/ROW]
[ROW][C]165[/C][C]0.674715[/C][C]0.650571[/C][C]0.325285[/C][/ROW]
[ROW][C]166[/C][C]0.90367[/C][C]0.19266[/C][C]0.0963301[/C][/ROW]
[ROW][C]167[/C][C]0.968783[/C][C]0.0624334[/C][C]0.0312167[/C][/ROW]
[ROW][C]168[/C][C]0.951751[/C][C]0.0964987[/C][C]0.0482493[/C][/ROW]
[ROW][C]169[/C][C]0.897424[/C][C]0.205152[/C][C]0.102576[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=230820&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=230820&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
260.1973290.3946580.802671
270.09743270.1948650.902567
280.08861110.1772220.911389
290.04118140.08236280.958819
300.01867990.03735980.98132
310.007698080.01539620.992302
320.004224320.008448650.995776
330.002630970.005261950.997369
340.001736580.003473170.998263
350.000796320.001592640.999204
360.000319230.000638460.999681
370.0002090.0004180.999791
388.34131e-050.0001668260.999917
390.0003187250.0006374490.999681
400.0004394250.0008788490.999561
410.000331320.000662640.999669
420.0001604510.0003209020.99984
430.0001893190.0003786370.999811
440.0001529990.0003059980.999847
450.0002587710.0005175420.999741
460.0002912820.0005825640.999709
470.0003056160.0006112320.999694
480.01395320.02790640.986047
490.00950390.01900780.990496
500.007403780.01480760.992596
510.004642610.009285220.995357
520.003745380.007490760.996255
530.00243970.00487940.99756
540.001549960.003099930.99845
550.007669810.01533960.99233
560.01342440.02684880.986576
570.01156580.02313160.988434
580.01547390.03094790.984526
590.02448870.04897730.975511
600.04677690.09355380.953223
610.03798420.07596850.962016
620.05385050.1077010.946149
630.05435790.1087160.945642
640.05819460.1163890.941805
650.05965120.1193020.940349
660.1239350.2478710.876065
670.1065880.2131770.893412
680.08581640.1716330.914184
690.06874420.1374880.931256
700.08141380.1628280.918586
710.06853320.1370660.931467
720.05754370.1150870.942456
730.05203840.1040770.947962
740.2164330.4328660.783567
750.2883980.5767950.711602
760.2535440.5070880.746456
770.2361910.4723820.763809
780.2072220.4144450.792778
790.2060830.4121650.793917
800.221390.442780.77861
810.2513590.5027180.748641
820.2333250.4666510.766675
830.2601390.5202770.739861
840.3069490.6138970.693051
850.3653750.730750.634625
860.3248750.6497510.675125
870.3284970.6569950.671503
880.2906170.5812330.709383
890.3387010.6774020.661299
900.3216410.6432820.678359
910.2843920.5687840.715608
920.2931310.5862620.706869
930.2902030.5804050.709797
940.2807670.5615330.719233
950.2430210.4860420.756979
960.284680.5693610.71532
970.3078740.6157490.692126
980.2757010.5514030.724299
990.241870.4837410.75813
1000.227930.4558610.77207
1010.2115280.4230550.788472
1020.2061050.412210.793895
1030.2580450.516090.741955
1040.274440.548880.72556
1050.2715650.5431310.728435
1060.2350320.4700640.764968
1070.2124760.4249520.787524
1080.1806850.361370.819315
1090.1798780.3597570.820122
1100.1593430.3186870.840657
1110.1411040.2822080.858896
1120.1246310.2492610.875369
1130.1300640.2601270.869936
1140.151230.302460.84877
1150.12560.2512010.8744
1160.1070220.2140430.892978
1170.09565660.1913130.904343
1180.08155230.1631050.918448
1190.07964580.1592920.920354
1200.1139180.2278360.886082
1210.1478720.2957450.852128
1220.190660.3813190.80934
1230.1692710.3385410.830729
1240.1566380.3132770.843362
1250.1332790.2665580.866721
1260.1299440.2598890.870056
1270.1395720.2791430.860428
1280.2883860.5767720.711614
1290.2771880.5543750.722812
1300.2689270.5378540.731073
1310.2515140.5030290.748486
1320.2617980.5235960.738202
1330.2782970.5565950.721703
1340.2599680.5199360.740032
1350.4102030.8204070.589797
1360.4711020.9422030.528898
1370.4215360.8430710.578464
1380.4737620.9475240.526238
1390.5036520.9926950.496348
1400.7079580.5840830.292042
1410.6669910.6660170.333009
1420.6382190.7235620.361781
1430.6439570.7120860.356043
1440.6626430.6747150.337357
1450.7193340.5613330.280666
1460.7087990.5824010.291201
1470.6995960.6008080.300404
1480.6770060.6459870.322994
1490.6973120.6053770.302688
1500.6411060.7177880.358894
1510.6790630.6418750.320937
1520.6434180.7131640.356582
1530.6320570.7358850.367943
1540.6252160.7495680.374784
1550.6337480.7325030.366252
1560.7906590.4186830.209341
1570.7561710.4876570.243829
1580.6916410.6167180.308359
1590.6951790.6096410.304821
1600.6242520.7514960.375748
1610.5391120.9217770.460888
1620.6880520.6238950.311948
1630.5957280.8085450.404272
1640.5860670.8278660.413933
1650.6747150.6505710.325285
1660.903670.192660.0963301
1670.9687830.06243340.0312167
1680.9517510.09649870.0482493
1690.8974240.2051520.102576







Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level200.138889NOK
5% type I error level300.208333NOK
10% type I error level350.243056NOK

\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 & 20 & 0.138889 & NOK \tabularnewline
5% type I error level & 30 & 0.208333 & NOK \tabularnewline
10% type I error level & 35 & 0.243056 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=230820&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]20[/C][C]0.138889[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]30[/C][C]0.208333[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]35[/C][C]0.243056[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=230820&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=230820&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 level200.138889NOK
5% type I error level300.208333NOK
10% type I error level350.243056NOK



Parameters (Session):
par1 = 1 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;
Parameters (R input):
par1 = 1 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;
R code (references can be found in the software module):
library(lattice)
library(lmtest)
n25 <- 25 #minimum number of obs. for Goldfeld-Quandt test
par1 <- as.numeric(par1)
x <- t(y)
k <- length(x[1,])
n <- length(x[,1])
x1 <- cbind(x[,par1], x[,1:k!=par1])
mycolnames <- c(colnames(x)[par1], colnames(x)[1:k!=par1])
colnames(x1) <- mycolnames #colnames(x)[par1]
x <- x1
if (par3 == 'First Differences'){
x2 <- array(0, dim=c(n-1,k), dimnames=list(1:(n-1), paste('(1-B)',colnames(x),sep='')))
for (i in 1:n-1) {
for (j in 1:k) {
x2[i,j] <- x[i+1,j] - x[i,j]
}
}
x <- x2
}
if (par2 == 'Include Monthly Dummies'){
x2 <- array(0, dim=c(n,11), dimnames=list(1:n, paste('M', seq(1:11), sep ='')))
for (i in 1:11){
x2[seq(i,n,12),i] <- 1
}
x <- cbind(x, x2)
}
if (par2 == 'Include Quarterly Dummies'){
x2 <- array(0, dim=c(n,3), dimnames=list(1:n, paste('Q', seq(1:3), sep ='')))
for (i in 1:3){
x2[seq(i,n,4),i] <- 1
}
x <- cbind(x, x2)
}
k <- length(x[1,])
if (par3 == 'Linear Trend'){
x <- cbind(x, c(1:n))
colnames(x)[k+1] <- 't'
}
x
k <- length(x[1,])
df <- as.data.frame(x)
(mylm <- lm(df))
(mysum <- summary(mylm))
if (n > n25) {
kp3 <- k + 3
nmkm3 <- n - k - 3
gqarr <- array(NA, dim=c(nmkm3-kp3+1,3))
numgqtests <- 0
numsignificant1 <- 0
numsignificant5 <- 0
numsignificant10 <- 0
for (mypoint in kp3:nmkm3) {
j <- 0
numgqtests <- numgqtests + 1
for (myalt in c('greater', 'two.sided', 'less')) {
j <- j + 1
gqarr[mypoint-kp3+1,j] <- gqtest(mylm, point=mypoint, alternative=myalt)$p.value
}
if (gqarr[mypoint-kp3+1,2] < 0.01) numsignificant1 <- numsignificant1 + 1
if (gqarr[mypoint-kp3+1,2] < 0.05) numsignificant5 <- numsignificant5 + 1
if (gqarr[mypoint-kp3+1,2] < 0.10) numsignificant10 <- numsignificant10 + 1
}
gqarr
}
bitmap(file='test0.png')
plot(x[,1], type='l', main='Actuals and Interpolation', ylab='value of Actuals and Interpolation (dots)', xlab='time or index')
points(x[,1]-mysum$resid)
grid()
dev.off()
bitmap(file='test1.png')
plot(mysum$resid, type='b', pch=19, main='Residuals', ylab='value of Residuals', xlab='time or index')
grid()
dev.off()
bitmap(file='test2.png')
hist(mysum$resid, main='Residual Histogram', xlab='values of Residuals')
grid()
dev.off()
bitmap(file='test3.png')
densityplot(~mysum$resid,col='black',main='Residual Density Plot', xlab='values of Residuals')
dev.off()
bitmap(file='test4.png')
qqnorm(mysum$resid, main='Residual Normal Q-Q Plot')
qqline(mysum$resid)
grid()
dev.off()
(myerror <- as.ts(mysum$resid))
bitmap(file='test5.png')
dum <- cbind(lag(myerror,k=1),myerror)
dum
dum1 <- dum[2:length(myerror),]
dum1
z <- as.data.frame(dum1)
z
plot(z,main=paste('Residual Lag plot, lowess, and regression line'), ylab='values of Residuals', xlab='lagged values of Residuals')
lines(lowess(z))
abline(lm(z))
grid()
dev.off()
bitmap(file='test6.png')
acf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Autocorrelation Function')
grid()
dev.off()
bitmap(file='test7.png')
pacf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Partial Autocorrelation Function')
grid()
dev.off()
bitmap(file='test8.png')
opar <- par(mfrow = c(2,2), oma = c(0, 0, 1.1, 0))
plot(mylm, las = 1, sub='Residual Diagnostics')
par(opar)
dev.off()
if (n > n25) {
bitmap(file='test9.png')
plot(kp3:nmkm3,gqarr[,2], main='Goldfeld-Quandt test',ylab='2-sided p-value',xlab='breakpoint')
grid()
dev.off()
}
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Estimated Regression Equation', 1, TRUE)
a<-table.row.end(a)
myeq <- colnames(x)[1]
myeq <- paste(myeq, '[t] = ', sep='')
for (i in 1:k){
if (mysum$coefficients[i,1] > 0) myeq <- paste(myeq, '+', '')
myeq <- paste(myeq, signif(mysum$coefficients[i,1],6), sep=' ')
if (rownames(mysum$coefficients)[i] != '(Intercept)') {
myeq <- paste(myeq, rownames(mysum$coefficients)[i], sep='')
if (rownames(mysum$coefficients)[i] != 't') myeq <- paste(myeq, '[t]', sep='')
}
}
myeq <- paste(myeq, ' + e[t]')
a<-table.row.start(a)
a<-table.element(a, myeq)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable1.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,hyperlink('ols1.htm','Multiple Linear Regression - Ordinary Least Squares',''), 6, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Variable',header=TRUE)
a<-table.element(a,'Parameter',header=TRUE)
a<-table.element(a,'S.D.',header=TRUE)
a<-table.element(a,'T-STAT
H0: parameter = 0',header=TRUE)
a<-table.element(a,'2-tail p-value',header=TRUE)
a<-table.element(a,'1-tail p-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:k){
a<-table.row.start(a)
a<-table.element(a,rownames(mysum$coefficients)[i],header=TRUE)
a<-table.element(a,signif(mysum$coefficients[i,1],6))
a<-table.element(a, signif(mysum$coefficients[i,2],6))
a<-table.element(a, signif(mysum$coefficients[i,3],4))
a<-table.element(a, signif(mysum$coefficients[i,4],6))
a<-table.element(a, signif(mysum$coefficients[i,4]/2,6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable2.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Regression Statistics', 2, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Multiple R',1,TRUE)
a<-table.element(a, signif(sqrt(mysum$r.squared),6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'R-squared',1,TRUE)
a<-table.element(a, signif(mysum$r.squared,6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Adjusted R-squared',1,TRUE)
a<-table.element(a, signif(mysum$adj.r.squared,6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (value)',1,TRUE)
a<-table.element(a, signif(mysum$fstatistic[1],6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (DF numerator)',1,TRUE)
a<-table.element(a, signif(mysum$fstatistic[2],6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (DF denominator)',1,TRUE)
a<-table.element(a, signif(mysum$fstatistic[3],6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'p-value',1,TRUE)
a<-table.element(a, signif(1-pf(mysum$fstatistic[1],mysum$fstatistic[2],mysum$fstatistic[3]),6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Residual Statistics', 2, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Residual Standard Deviation',1,TRUE)
a<-table.element(a, signif(mysum$sigma,6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Sum Squared Residuals',1,TRUE)
a<-table.element(a, signif(sum(myerror*myerror),6))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable3.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Actuals, Interpolation, and Residuals', 4, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Time or Index', 1, TRUE)
a<-table.element(a, 'Actuals', 1, TRUE)
a<-table.element(a, 'Interpolation
Forecast', 1, TRUE)
a<-table.element(a, 'Residuals
Prediction Error', 1, TRUE)
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,i, 1, TRUE)
a<-table.element(a,signif(x[i],6))
a<-table.element(a,signif(x[i]-mysum$resid[i],6))
a<-table.element(a,signif(mysum$resid[i],6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable4.tab')
if (n > n25) {
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Goldfeld-Quandt test for Heteroskedasticity',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'p-values',header=TRUE)
a<-table.element(a,'Alternative Hypothesis',3,header=TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'breakpoint index',header=TRUE)
a<-table.element(a,'greater',header=TRUE)
a<-table.element(a,'2-sided',header=TRUE)
a<-table.element(a,'less',header=TRUE)
a<-table.row.end(a)
for (mypoint in kp3:nmkm3) {
a<-table.row.start(a)
a<-table.element(a,mypoint,header=TRUE)
a<-table.element(a,signif(gqarr[mypoint-kp3+1,1],6))
a<-table.element(a,signif(gqarr[mypoint-kp3+1,2],6))
a<-table.element(a,signif(gqarr[mypoint-kp3+1,3],6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable5.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Description',header=TRUE)
a<-table.element(a,'# significant tests',header=TRUE)
a<-table.element(a,'% significant tests',header=TRUE)
a<-table.element(a,'OK/NOK',header=TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'1% type I error level',header=TRUE)
a<-table.element(a,signif(numsignificant1,6))
a<-table.element(a,signif(numsignificant1/numgqtests,6))
if (numsignificant1/numgqtests < 0.01) dum <- 'OK' else dum <- 'NOK'
a<-table.element(a,dum)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'5% type I error level',header=TRUE)
a<-table.element(a,signif(numsignificant5,6))
a<-table.element(a,signif(numsignificant5/numgqtests,6))
if (numsignificant5/numgqtests < 0.05) dum <- 'OK' else dum <- 'NOK'
a<-table.element(a,dum)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'10% type I error level',header=TRUE)
a<-table.element(a,signif(numsignificant10,6))
a<-table.element(a,signif(numsignificant10/numgqtests,6))
if (numsignificant10/numgqtests < 0.1) dum <- 'OK' else dum <- 'NOK'
a<-table.element(a,dum)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable6.tab')
}