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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationSun, 08 Dec 2013 11:54:34 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Dec/08/t1386521701u4f14ryhztlyw4y.htm/, Retrieved Fri, 19 Apr 2024 23:01:08 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=231481, Retrieved Fri, 19 Apr 2024 23:01:08 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact74

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Multiple Regression] [MR parkinson] [2013-12-08 16:54:34] [422aba72eec6f346dbc53a10de82a46b] [Current]
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Dataset

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

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time40 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 40 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=231481&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]40 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=231481&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=231481&T=0

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


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time40 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net






Multiple Linear Regression - Estimated Regression Equation
MDVP:Fo(Hz)[t] = + 273.136 + 0.032081`MDVP:Fhi(Hz)`[t] + 0.253581`MDVP:Flo(Hz)`[t] + 10789`MDVP:Jitter(%)`[t] -1908790`MDVP:Jitter(Abs)`[t] + 634677`MDVP:RAP`[t] -1414.87`MDVP:PPQ`[t] -208729`Jitter:DDP`[t] + 29.6851`MDVP:Shimmer`[t] -75.8815`MDVP:Shimmer(dB)`[t] + 83071.4`Shimmer:APQ3`[t] + 2153.1`Shimmer:APQ5`[t] -1353.89`MDVP:APQ`[t] -27427.9`Shimmer:DDA`[t] -243.27NHR[t] -0.489573HNR[t] -5.45749status[t] -36.3502RPDE[t] -225.998DFA[t] -3.09461spread1[t] + 24.6912spread2[t] + 8.16084D2[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
MDVP:Fo(Hz)[t] =  +  273.136 +  0.032081`MDVP:Fhi(Hz)`[t] +  0.253581`MDVP:Flo(Hz)`[t] +  10789`MDVP:Jitter(%)`[t] -1908790`MDVP:Jitter(Abs)`[t] +  634677`MDVP:RAP`[t] -1414.87`MDVP:PPQ`[t] -208729`Jitter:DDP`[t] +  29.6851`MDVP:Shimmer`[t] -75.8815`MDVP:Shimmer(dB)`[t] +  83071.4`Shimmer:APQ3`[t] +  2153.1`Shimmer:APQ5`[t] -1353.89`MDVP:APQ`[t] -27427.9`Shimmer:DDA`[t] -243.27NHR[t] -0.489573HNR[t] -5.45749status[t] -36.3502RPDE[t] -225.998DFA[t] -3.09461spread1[t] +  24.6912spread2[t] +  8.16084D2[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=231481&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]MDVP:Fo(Hz)[t] =  +  273.136 +  0.032081`MDVP:Fhi(Hz)`[t] +  0.253581`MDVP:Flo(Hz)`[t] +  10789`MDVP:Jitter(%)`[t] -1908790`MDVP:Jitter(Abs)`[t] +  634677`MDVP:RAP`[t] -1414.87`MDVP:PPQ`[t] -208729`Jitter:DDP`[t] +  29.6851`MDVP:Shimmer`[t] -75.8815`MDVP:Shimmer(dB)`[t] +  83071.4`Shimmer:APQ3`[t] +  2153.1`Shimmer:APQ5`[t] -1353.89`MDVP:APQ`[t] -27427.9`Shimmer:DDA`[t] -243.27NHR[t] -0.489573HNR[t] -5.45749status[t] -36.3502RPDE[t] -225.998DFA[t] -3.09461spread1[t] +  24.6912spread2[t] +  8.16084D2[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=231481&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=231481&T=1

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


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

Multiple Linear Regression - Estimated Regression Equation
MDVP:Fo(Hz)[t] = + 273.136 + 0.032081`MDVP:Fhi(Hz)`[t] + 0.253581`MDVP:Flo(Hz)`[t] + 10789`MDVP:Jitter(%)`[t] -1908790`MDVP:Jitter(Abs)`[t] + 634677`MDVP:RAP`[t] -1414.87`MDVP:PPQ`[t] -208729`Jitter:DDP`[t] + 29.6851`MDVP:Shimmer`[t] -75.8815`MDVP:Shimmer(dB)`[t] + 83071.4`Shimmer:APQ3`[t] + 2153.1`Shimmer:APQ5`[t] -1353.89`MDVP:APQ`[t] -27427.9`Shimmer:DDA`[t] -243.27NHR[t] -0.489573HNR[t] -5.45749status[t] -36.3502RPDE[t] -225.998DFA[t] -3.09461spread1[t] + 24.6912spread2[t] + 8.16084D2[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)273.13648.86565.598.71872e-084.35936e-08
`MDVP:Fhi(Hz)`0.0320810.0164361.9520.05256850.0262842
`MDVP:Flo(Hz)`0.2535810.03694856.8631.15454e-105.77269e-11
`MDVP:Jitter(%)`107893409.953.1640.001838920.000919458
`MDVP:Jitter(Abs)`-1908790176101-10.843.20374e-211.60187e-21
`MDVP:RAP`6346774795781.3230.1874460.093723
`MDVP:PPQ`-1414.874214.57-0.33570.7374970.368748
`Jitter:DDP`-208729159951-1.3050.1936410.0968207
`MDVP:Shimmer`29.68511775.320.016720.9866780.493339
`MDVP:Shimmer(dB)`-75.881559.3923-1.2780.2030910.101546
`Shimmer:APQ3`83071.44627660.17950.8577470.428873
`Shimmer:APQ5`2153.11030.312.090.03810260.0190513
`MDVP:APQ`-1353.89540.572-2.5050.01318590.00659293
`Shimmer:DDA`-27427.9154214-0.17790.8590440.429522
NHR-243.27101.249-2.4030.01733320.0086666
HNR-0.4895730.738263-0.66310.5081220.254061
status-5.457493.91326-1.3950.1649210.0824603
RPDE-36.350222.921-1.5860.1145910.0572954
DFA-225.99833.4746-6.7512.12997e-101.06499e-10
spread1-3.094612.88981-1.0710.2857190.14286
spread224.691225.15340.98160.3276550.163828
D28.160845.859331.3930.1654690.0827346

\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) & 273.136 & 48.8656 & 5.59 & 8.71872e-08 & 4.35936e-08 \tabularnewline
`MDVP:Fhi(Hz)` & 0.032081 & 0.016436 & 1.952 & 0.0525685 & 0.0262842 \tabularnewline
`MDVP:Flo(Hz)` & 0.253581 & 0.0369485 & 6.863 & 1.15454e-10 & 5.77269e-11 \tabularnewline
`MDVP:Jitter(%)` & 10789 & 3409.95 & 3.164 & 0.00183892 & 0.000919458 \tabularnewline
`MDVP:Jitter(Abs)` & -1908790 & 176101 & -10.84 & 3.20374e-21 & 1.60187e-21 \tabularnewline
`MDVP:RAP` & 634677 & 479578 & 1.323 & 0.187446 & 0.093723 \tabularnewline
`MDVP:PPQ` & -1414.87 & 4214.57 & -0.3357 & 0.737497 & 0.368748 \tabularnewline
`Jitter:DDP` & -208729 & 159951 & -1.305 & 0.193641 & 0.0968207 \tabularnewline
`MDVP:Shimmer` & 29.6851 & 1775.32 & 0.01672 & 0.986678 & 0.493339 \tabularnewline
`MDVP:Shimmer(dB)` & -75.8815 & 59.3923 & -1.278 & 0.203091 & 0.101546 \tabularnewline
`Shimmer:APQ3` & 83071.4 & 462766 & 0.1795 & 0.857747 & 0.428873 \tabularnewline
`Shimmer:APQ5` & 2153.1 & 1030.31 & 2.09 & 0.0381026 & 0.0190513 \tabularnewline
`MDVP:APQ` & -1353.89 & 540.572 & -2.505 & 0.0131859 & 0.00659293 \tabularnewline
`Shimmer:DDA` & -27427.9 & 154214 & -0.1779 & 0.859044 & 0.429522 \tabularnewline
NHR & -243.27 & 101.249 & -2.403 & 0.0173332 & 0.0086666 \tabularnewline
HNR & -0.489573 & 0.738263 & -0.6631 & 0.508122 & 0.254061 \tabularnewline
status & -5.45749 & 3.91326 & -1.395 & 0.164921 & 0.0824603 \tabularnewline
RPDE & -36.3502 & 22.921 & -1.586 & 0.114591 & 0.0572954 \tabularnewline
DFA & -225.998 & 33.4746 & -6.751 & 2.12997e-10 & 1.06499e-10 \tabularnewline
spread1 & -3.09461 & 2.88981 & -1.071 & 0.285719 & 0.14286 \tabularnewline
spread2 & 24.6912 & 25.1534 & 0.9816 & 0.327655 & 0.163828 \tabularnewline
D2 & 8.16084 & 5.85933 & 1.393 & 0.165469 & 0.0827346 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=231481&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]273.136[/C][C]48.8656[/C][C]5.59[/C][C]8.71872e-08[/C][C]4.35936e-08[/C][/ROW]
[ROW][C]`MDVP:Fhi(Hz)`[/C][C]0.032081[/C][C]0.016436[/C][C]1.952[/C][C]0.0525685[/C][C]0.0262842[/C][/ROW]
[ROW][C]`MDVP:Flo(Hz)`[/C][C]0.253581[/C][C]0.0369485[/C][C]6.863[/C][C]1.15454e-10[/C][C]5.77269e-11[/C][/ROW]
[ROW][C]`MDVP:Jitter(%)`[/C][C]10789[/C][C]3409.95[/C][C]3.164[/C][C]0.00183892[/C][C]0.000919458[/C][/ROW]
[ROW][C]`MDVP:Jitter(Abs)`[/C][C]-1908790[/C][C]176101[/C][C]-10.84[/C][C]3.20374e-21[/C][C]1.60187e-21[/C][/ROW]
[ROW][C]`MDVP:RAP`[/C][C]634677[/C][C]479578[/C][C]1.323[/C][C]0.187446[/C][C]0.093723[/C][/ROW]
[ROW][C]`MDVP:PPQ`[/C][C]-1414.87[/C][C]4214.57[/C][C]-0.3357[/C][C]0.737497[/C][C]0.368748[/C][/ROW]
[ROW][C]`Jitter:DDP`[/C][C]-208729[/C][C]159951[/C][C]-1.305[/C][C]0.193641[/C][C]0.0968207[/C][/ROW]
[ROW][C]`MDVP:Shimmer`[/C][C]29.6851[/C][C]1775.32[/C][C]0.01672[/C][C]0.986678[/C][C]0.493339[/C][/ROW]
[ROW][C]`MDVP:Shimmer(dB)`[/C][C]-75.8815[/C][C]59.3923[/C][C]-1.278[/C][C]0.203091[/C][C]0.101546[/C][/ROW]
[ROW][C]`Shimmer:APQ3`[/C][C]83071.4[/C][C]462766[/C][C]0.1795[/C][C]0.857747[/C][C]0.428873[/C][/ROW]
[ROW][C]`Shimmer:APQ5`[/C][C]2153.1[/C][C]1030.31[/C][C]2.09[/C][C]0.0381026[/C][C]0.0190513[/C][/ROW]
[ROW][C]`MDVP:APQ`[/C][C]-1353.89[/C][C]540.572[/C][C]-2.505[/C][C]0.0131859[/C][C]0.00659293[/C][/ROW]
[ROW][C]`Shimmer:DDA`[/C][C]-27427.9[/C][C]154214[/C][C]-0.1779[/C][C]0.859044[/C][C]0.429522[/C][/ROW]
[ROW][C]NHR[/C][C]-243.27[/C][C]101.249[/C][C]-2.403[/C][C]0.0173332[/C][C]0.0086666[/C][/ROW]
[ROW][C]HNR[/C][C]-0.489573[/C][C]0.738263[/C][C]-0.6631[/C][C]0.508122[/C][C]0.254061[/C][/ROW]
[ROW][C]status[/C][C]-5.45749[/C][C]3.91326[/C][C]-1.395[/C][C]0.164921[/C][C]0.0824603[/C][/ROW]
[ROW][C]RPDE[/C][C]-36.3502[/C][C]22.921[/C][C]-1.586[/C][C]0.114591[/C][C]0.0572954[/C][/ROW]
[ROW][C]DFA[/C][C]-225.998[/C][C]33.4746[/C][C]-6.751[/C][C]2.12997e-10[/C][C]1.06499e-10[/C][/ROW]
[ROW][C]spread1[/C][C]-3.09461[/C][C]2.88981[/C][C]-1.071[/C][C]0.285719[/C][C]0.14286[/C][/ROW]
[ROW][C]spread2[/C][C]24.6912[/C][C]25.1534[/C][C]0.9816[/C][C]0.327655[/C][C]0.163828[/C][/ROW]
[ROW][C]D2[/C][C]8.16084[/C][C]5.85933[/C][C]1.393[/C][C]0.165469[/C][C]0.0827346[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=231481&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=231481&T=2

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


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

Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)273.13648.86565.598.71872e-084.35936e-08
`MDVP:Fhi(Hz)`0.0320810.0164361.9520.05256850.0262842
`MDVP:Flo(Hz)`0.2535810.03694856.8631.15454e-105.77269e-11
`MDVP:Jitter(%)`107893409.953.1640.001838920.000919458
`MDVP:Jitter(Abs)`-1908790176101-10.843.20374e-211.60187e-21
`MDVP:RAP`6346774795781.3230.1874460.093723
`MDVP:PPQ`-1414.874214.57-0.33570.7374970.368748
`Jitter:DDP`-208729159951-1.3050.1936410.0968207
`MDVP:Shimmer`29.68511775.320.016720.9866780.493339
`MDVP:Shimmer(dB)`-75.881559.3923-1.2780.2030910.101546
`Shimmer:APQ3`83071.44627660.17950.8577470.428873
`Shimmer:APQ5`2153.11030.312.090.03810260.0190513
`MDVP:APQ`-1353.89540.572-2.5050.01318590.00659293
`Shimmer:DDA`-27427.9154214-0.17790.8590440.429522
NHR-243.27101.249-2.4030.01733320.0086666
HNR-0.4895730.738263-0.66310.5081220.254061
status-5.457493.91326-1.3950.1649210.0824603
RPDE-36.350222.921-1.5860.1145910.0572954
DFA-225.99833.4746-6.7512.12997e-101.06499e-10
spread1-3.094612.88981-1.0710.2857190.14286
spread224.691225.15340.98160.3276550.163828
D28.160845.859331.3930.1654690.0827346






Multiple Linear Regression - Regression Statistics
Multiple R0.922673
R-squared0.851325
Adjusted R-squared0.833278
F-TEST (value)47.1719
F-TEST (DF numerator)21
F-TEST (DF denominator)173
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation16.9002
Sum Squared Residuals49412

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.922673 \tabularnewline
R-squared & 0.851325 \tabularnewline
Adjusted R-squared & 0.833278 \tabularnewline
F-TEST (value) & 47.1719 \tabularnewline
F-TEST (DF numerator) & 21 \tabularnewline
F-TEST (DF denominator) & 173 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 16.9002 \tabularnewline
Sum Squared Residuals & 49412 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=231481&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.922673[/C][/ROW]
[ROW][C]R-squared[/C][C]0.851325[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.833278[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]47.1719[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]21[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]173[/C][/ROW]
[ROW][C]p-value[/C][C]0[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]16.9002[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]49412[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=231481&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=231481&T=3

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


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

Multiple Linear Regression - Regression Statistics
Multiple R0.922673
R-squared0.851325
Adjusted R-squared0.833278
F-TEST (value)47.1719
F-TEST (DF numerator)21
F-TEST (DF denominator)173
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation16.9002
Sum Squared Residuals49412






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
1119.992107.22312.7688
2122.4126.911-4.51142
3116.682121.253-4.57077
4116.676118.08-1.40447
5116.014119.263-3.24917
6120.552123.481-2.92946
7120.267116.8683.39867
8107.332114.538-7.2059
995.7390.874.85996
1095.05684.183410.8726
1188.33379.57258.76045
1291.90484.83797.06608
13136.926166.11-29.1837
14139.173140.444-1.27085
15152.845155.553-2.70842
16142.167142.446-0.279462
17144.188148.688-4.5004
18168.778159.9818.79721
19153.046122.42630.62
20156.405154.7061.69855
21153.848139.19314.655
22153.88135.26718.6128
23167.93138.03429.8962
24173.917150.5923.3267
25163.656147.57716.0789
26104.494.79739.6027
27171.041149.18321.8581
28146.845153.25-6.4045
29155.358160.233-4.87515
30162.568148.03514.5331
31197.076197.992-0.915834
32199.228191.8747.35413
33198.383181.9316.4525
34202.266184.98617.2802
35203.184181.11722.0669
36201.464193.4328.03247
37177.876181.936-4.05982
38176.17170.545.6301
39180.198163.3916.8083
40187.733169.33218.4008
41186.163168.93117.2319
42184.055177.586.47533
43237.226239.15-1.92356
44241.404237.1094.2945
45243.439225.61817.8214
46242.852228.12114.7313
47245.51231.36714.1428
48252.455206.64645.8087
49122.188134.894-12.7061
50122.964136.292-13.3276
51124.445135.575-11.1302
52126.344125.1771.16705
53128.001143.417-15.4158
54129.336129.444-0.107968
55108.80789.214719.5923
56109.8687.703722.1563
57110.41791.939718.4773
58117.274102.14515.1287
59116.87986.271330.6077
60114.84779.924734.9223
61209.144194.82314.3205
62223.365192.77130.5943
63222.236213.5468.6895
64228.832230.093-1.26116
65229.401218.58410.8169
66228.969191.77737.1921
67140.341140.558-0.217081
68136.969128.528.44855
69143.533134.039.50286
70148.09149.741-1.65059
71142.729128.51414.2154
72136.358131.3185.03983
73120.08137.495-17.4153
74112.014118.709-6.69547
75110.793119.335-8.54164
76110.707103.5037.20441
77112.876134.056-21.1797
78110.568112.691-2.12301
7995.38594.5960.789023
80100.7783.955616.8144
8196.10695.37720.72879
8295.60599.2319-3.62692
83100.96100.6290.331237
8498.804110.782-11.9781
85176.858179.133-2.27515
86180.978194.04-13.062
87178.222177.9870.235069
88176.281178.949-2.6682
89173.898154.90118.9974
90179.711178.9740.73736
91166.605164.2832.32169
92151.955173.453-21.4984
93148.272165.918-17.6458
94152.125141.89410.2311
95157.821163.178-5.35745
96157.447183.012-25.565
97159.116178.368-19.2521
98125.036131.17-6.13398
99125.791120.8414.94984
100126.512110.58115.9313
101125.641106.66918.9724
102128.451121.1217.32985
103139.224146.26-7.03578
104150.258135.39514.863
105154.003169.003-14.9998
106149.689153.999-4.31007
107155.078173.885-18.8065
108151.884157.045-5.16072
109151.989171.401-19.4118
110193.03184.5378.49268
111200.714186.41114.3034
112208.519218.335-9.81591
113204.664220.602-15.9377
114210.141196.51713.6238
115206.327199.8076.52036
116151.872151.260.612436
117158.219167.939-9.71965
118170.756176.165-5.40921
119178.285168.0410.2445
120217.116196.83220.2839
121128.94137.325-8.38483
122176.824159.0317.7938
123138.19141.515-3.32482
124182.018167.77414.2443
125156.239158.723-2.4842
126145.174137.3297.84476
127138.145128.9659.18026
128166.888151.39215.496
129119.031138.506-19.4753
130120.078138.87-18.7923
131120.289137.483-17.1944
132120.256144.835-24.5786
133119.056133.774-14.7182
134118.747133.573-14.8255
135106.516107.181-0.66496
136110.453142.143-31.6898
137113.4119.23-5.83029
138113.166138.258-25.0925
139112.239136.841-24.6023
140116.15141.765-25.6151
141170.368168.1922.17589
142208.083204.054.03331
143198.458192.4895.96938
144202.805177.83324.9722
145202.544203.328-0.784309
146223.361197.05926.302
147169.774161.6128.16188
148183.52197.984-14.4643
149188.62210.438-21.818
150202.632218.77-16.1378
151186.695180.2066.48869
152192.818194.3-1.48211
153198.116225.957-27.8413
154121.345124.9-3.55498
155119.1124.217-5.11704
156117.87146.367-28.4966
157122.336147.911-25.5749
158117.963125.073-7.10999
159126.144154.939-28.795
160127.93122.2675.66264
161114.23896.013518.2245
162115.322130.112-14.7904
163114.554105.9678.58659
164112.15128.744-16.594
165102.27396.05556.21753
166236.2203.6732.5295
167237.323238.23-0.906904
168260.105247.30412.8014
169197.569208.466-10.8966
170240.301246.324-6.0231
171244.99241.2213.76861
172112.547134.746-22.199
173110.739130.666-19.9274
174113.715128.3-14.5848
175117.004137.849-20.8451
176115.38134.113-18.7326
177116.388133.878-17.49
178151.737156.812-5.07451
179148.79154.64-5.85021
180148.143147.5080.635248
181150.44150.0530.386724
182148.462152.402-3.93982
183149.818167.411-17.5926
184117.226130.89-13.6637
185116.848132.365-15.5167
186116.286134.562-18.2756
187116.556159.73-43.1736
188116.342169.204-52.8619
189114.563138.865-24.302
190201.774204.338-2.56434
191174.188182.451-8.26346
192209.516194.3515.1663
193174.688183.637-8.94932
194198.764190.5358.22926
195214.289181.58532.7039

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 119.992 & 107.223 & 12.7688 \tabularnewline
2 & 122.4 & 126.911 & -4.51142 \tabularnewline
3 & 116.682 & 121.253 & -4.57077 \tabularnewline
4 & 116.676 & 118.08 & -1.40447 \tabularnewline
5 & 116.014 & 119.263 & -3.24917 \tabularnewline
6 & 120.552 & 123.481 & -2.92946 \tabularnewline
7 & 120.267 & 116.868 & 3.39867 \tabularnewline
8 & 107.332 & 114.538 & -7.2059 \tabularnewline
9 & 95.73 & 90.87 & 4.85996 \tabularnewline
10 & 95.056 & 84.1834 & 10.8726 \tabularnewline
11 & 88.333 & 79.5725 & 8.76045 \tabularnewline
12 & 91.904 & 84.8379 & 7.06608 \tabularnewline
13 & 136.926 & 166.11 & -29.1837 \tabularnewline
14 & 139.173 & 140.444 & -1.27085 \tabularnewline
15 & 152.845 & 155.553 & -2.70842 \tabularnewline
16 & 142.167 & 142.446 & -0.279462 \tabularnewline
17 & 144.188 & 148.688 & -4.5004 \tabularnewline
18 & 168.778 & 159.981 & 8.79721 \tabularnewline
19 & 153.046 & 122.426 & 30.62 \tabularnewline
20 & 156.405 & 154.706 & 1.69855 \tabularnewline
21 & 153.848 & 139.193 & 14.655 \tabularnewline
22 & 153.88 & 135.267 & 18.6128 \tabularnewline
23 & 167.93 & 138.034 & 29.8962 \tabularnewline
24 & 173.917 & 150.59 & 23.3267 \tabularnewline
25 & 163.656 & 147.577 & 16.0789 \tabularnewline
26 & 104.4 & 94.7973 & 9.6027 \tabularnewline
27 & 171.041 & 149.183 & 21.8581 \tabularnewline
28 & 146.845 & 153.25 & -6.4045 \tabularnewline
29 & 155.358 & 160.233 & -4.87515 \tabularnewline
30 & 162.568 & 148.035 & 14.5331 \tabularnewline
31 & 197.076 & 197.992 & -0.915834 \tabularnewline
32 & 199.228 & 191.874 & 7.35413 \tabularnewline
33 & 198.383 & 181.93 & 16.4525 \tabularnewline
34 & 202.266 & 184.986 & 17.2802 \tabularnewline
35 & 203.184 & 181.117 & 22.0669 \tabularnewline
36 & 201.464 & 193.432 & 8.03247 \tabularnewline
37 & 177.876 & 181.936 & -4.05982 \tabularnewline
38 & 176.17 & 170.54 & 5.6301 \tabularnewline
39 & 180.198 & 163.39 & 16.8083 \tabularnewline
40 & 187.733 & 169.332 & 18.4008 \tabularnewline
41 & 186.163 & 168.931 & 17.2319 \tabularnewline
42 & 184.055 & 177.58 & 6.47533 \tabularnewline
43 & 237.226 & 239.15 & -1.92356 \tabularnewline
44 & 241.404 & 237.109 & 4.2945 \tabularnewline
45 & 243.439 & 225.618 & 17.8214 \tabularnewline
46 & 242.852 & 228.121 & 14.7313 \tabularnewline
47 & 245.51 & 231.367 & 14.1428 \tabularnewline
48 & 252.455 & 206.646 & 45.8087 \tabularnewline
49 & 122.188 & 134.894 & -12.7061 \tabularnewline
50 & 122.964 & 136.292 & -13.3276 \tabularnewline
51 & 124.445 & 135.575 & -11.1302 \tabularnewline
52 & 126.344 & 125.177 & 1.16705 \tabularnewline
53 & 128.001 & 143.417 & -15.4158 \tabularnewline
54 & 129.336 & 129.444 & -0.107968 \tabularnewline
55 & 108.807 & 89.2147 & 19.5923 \tabularnewline
56 & 109.86 & 87.7037 & 22.1563 \tabularnewline
57 & 110.417 & 91.9397 & 18.4773 \tabularnewline
58 & 117.274 & 102.145 & 15.1287 \tabularnewline
59 & 116.879 & 86.2713 & 30.6077 \tabularnewline
60 & 114.847 & 79.9247 & 34.9223 \tabularnewline
61 & 209.144 & 194.823 & 14.3205 \tabularnewline
62 & 223.365 & 192.771 & 30.5943 \tabularnewline
63 & 222.236 & 213.546 & 8.6895 \tabularnewline
64 & 228.832 & 230.093 & -1.26116 \tabularnewline
65 & 229.401 & 218.584 & 10.8169 \tabularnewline
66 & 228.969 & 191.777 & 37.1921 \tabularnewline
67 & 140.341 & 140.558 & -0.217081 \tabularnewline
68 & 136.969 & 128.52 & 8.44855 \tabularnewline
69 & 143.533 & 134.03 & 9.50286 \tabularnewline
70 & 148.09 & 149.741 & -1.65059 \tabularnewline
71 & 142.729 & 128.514 & 14.2154 \tabularnewline
72 & 136.358 & 131.318 & 5.03983 \tabularnewline
73 & 120.08 & 137.495 & -17.4153 \tabularnewline
74 & 112.014 & 118.709 & -6.69547 \tabularnewline
75 & 110.793 & 119.335 & -8.54164 \tabularnewline
76 & 110.707 & 103.503 & 7.20441 \tabularnewline
77 & 112.876 & 134.056 & -21.1797 \tabularnewline
78 & 110.568 & 112.691 & -2.12301 \tabularnewline
79 & 95.385 & 94.596 & 0.789023 \tabularnewline
80 & 100.77 & 83.9556 & 16.8144 \tabularnewline
81 & 96.106 & 95.3772 & 0.72879 \tabularnewline
82 & 95.605 & 99.2319 & -3.62692 \tabularnewline
83 & 100.96 & 100.629 & 0.331237 \tabularnewline
84 & 98.804 & 110.782 & -11.9781 \tabularnewline
85 & 176.858 & 179.133 & -2.27515 \tabularnewline
86 & 180.978 & 194.04 & -13.062 \tabularnewline
87 & 178.222 & 177.987 & 0.235069 \tabularnewline
88 & 176.281 & 178.949 & -2.6682 \tabularnewline
89 & 173.898 & 154.901 & 18.9974 \tabularnewline
90 & 179.711 & 178.974 & 0.73736 \tabularnewline
91 & 166.605 & 164.283 & 2.32169 \tabularnewline
92 & 151.955 & 173.453 & -21.4984 \tabularnewline
93 & 148.272 & 165.918 & -17.6458 \tabularnewline
94 & 152.125 & 141.894 & 10.2311 \tabularnewline
95 & 157.821 & 163.178 & -5.35745 \tabularnewline
96 & 157.447 & 183.012 & -25.565 \tabularnewline
97 & 159.116 & 178.368 & -19.2521 \tabularnewline
98 & 125.036 & 131.17 & -6.13398 \tabularnewline
99 & 125.791 & 120.841 & 4.94984 \tabularnewline
100 & 126.512 & 110.581 & 15.9313 \tabularnewline
101 & 125.641 & 106.669 & 18.9724 \tabularnewline
102 & 128.451 & 121.121 & 7.32985 \tabularnewline
103 & 139.224 & 146.26 & -7.03578 \tabularnewline
104 & 150.258 & 135.395 & 14.863 \tabularnewline
105 & 154.003 & 169.003 & -14.9998 \tabularnewline
106 & 149.689 & 153.999 & -4.31007 \tabularnewline
107 & 155.078 & 173.885 & -18.8065 \tabularnewline
108 & 151.884 & 157.045 & -5.16072 \tabularnewline
109 & 151.989 & 171.401 & -19.4118 \tabularnewline
110 & 193.03 & 184.537 & 8.49268 \tabularnewline
111 & 200.714 & 186.411 & 14.3034 \tabularnewline
112 & 208.519 & 218.335 & -9.81591 \tabularnewline
113 & 204.664 & 220.602 & -15.9377 \tabularnewline
114 & 210.141 & 196.517 & 13.6238 \tabularnewline
115 & 206.327 & 199.807 & 6.52036 \tabularnewline
116 & 151.872 & 151.26 & 0.612436 \tabularnewline
117 & 158.219 & 167.939 & -9.71965 \tabularnewline
118 & 170.756 & 176.165 & -5.40921 \tabularnewline
119 & 178.285 & 168.04 & 10.2445 \tabularnewline
120 & 217.116 & 196.832 & 20.2839 \tabularnewline
121 & 128.94 & 137.325 & -8.38483 \tabularnewline
122 & 176.824 & 159.03 & 17.7938 \tabularnewline
123 & 138.19 & 141.515 & -3.32482 \tabularnewline
124 & 182.018 & 167.774 & 14.2443 \tabularnewline
125 & 156.239 & 158.723 & -2.4842 \tabularnewline
126 & 145.174 & 137.329 & 7.84476 \tabularnewline
127 & 138.145 & 128.965 & 9.18026 \tabularnewline
128 & 166.888 & 151.392 & 15.496 \tabularnewline
129 & 119.031 & 138.506 & -19.4753 \tabularnewline
130 & 120.078 & 138.87 & -18.7923 \tabularnewline
131 & 120.289 & 137.483 & -17.1944 \tabularnewline
132 & 120.256 & 144.835 & -24.5786 \tabularnewline
133 & 119.056 & 133.774 & -14.7182 \tabularnewline
134 & 118.747 & 133.573 & -14.8255 \tabularnewline
135 & 106.516 & 107.181 & -0.66496 \tabularnewline
136 & 110.453 & 142.143 & -31.6898 \tabularnewline
137 & 113.4 & 119.23 & -5.83029 \tabularnewline
138 & 113.166 & 138.258 & -25.0925 \tabularnewline
139 & 112.239 & 136.841 & -24.6023 \tabularnewline
140 & 116.15 & 141.765 & -25.6151 \tabularnewline
141 & 170.368 & 168.192 & 2.17589 \tabularnewline
142 & 208.083 & 204.05 & 4.03331 \tabularnewline
143 & 198.458 & 192.489 & 5.96938 \tabularnewline
144 & 202.805 & 177.833 & 24.9722 \tabularnewline
145 & 202.544 & 203.328 & -0.784309 \tabularnewline
146 & 223.361 & 197.059 & 26.302 \tabularnewline
147 & 169.774 & 161.612 & 8.16188 \tabularnewline
148 & 183.52 & 197.984 & -14.4643 \tabularnewline
149 & 188.62 & 210.438 & -21.818 \tabularnewline
150 & 202.632 & 218.77 & -16.1378 \tabularnewline
151 & 186.695 & 180.206 & 6.48869 \tabularnewline
152 & 192.818 & 194.3 & -1.48211 \tabularnewline
153 & 198.116 & 225.957 & -27.8413 \tabularnewline
154 & 121.345 & 124.9 & -3.55498 \tabularnewline
155 & 119.1 & 124.217 & -5.11704 \tabularnewline
156 & 117.87 & 146.367 & -28.4966 \tabularnewline
157 & 122.336 & 147.911 & -25.5749 \tabularnewline
158 & 117.963 & 125.073 & -7.10999 \tabularnewline
159 & 126.144 & 154.939 & -28.795 \tabularnewline
160 & 127.93 & 122.267 & 5.66264 \tabularnewline
161 & 114.238 & 96.0135 & 18.2245 \tabularnewline
162 & 115.322 & 130.112 & -14.7904 \tabularnewline
163 & 114.554 & 105.967 & 8.58659 \tabularnewline
164 & 112.15 & 128.744 & -16.594 \tabularnewline
165 & 102.273 & 96.0555 & 6.21753 \tabularnewline
166 & 236.2 & 203.67 & 32.5295 \tabularnewline
167 & 237.323 & 238.23 & -0.906904 \tabularnewline
168 & 260.105 & 247.304 & 12.8014 \tabularnewline
169 & 197.569 & 208.466 & -10.8966 \tabularnewline
170 & 240.301 & 246.324 & -6.0231 \tabularnewline
171 & 244.99 & 241.221 & 3.76861 \tabularnewline
172 & 112.547 & 134.746 & -22.199 \tabularnewline
173 & 110.739 & 130.666 & -19.9274 \tabularnewline
174 & 113.715 & 128.3 & -14.5848 \tabularnewline
175 & 117.004 & 137.849 & -20.8451 \tabularnewline
176 & 115.38 & 134.113 & -18.7326 \tabularnewline
177 & 116.388 & 133.878 & -17.49 \tabularnewline
178 & 151.737 & 156.812 & -5.07451 \tabularnewline
179 & 148.79 & 154.64 & -5.85021 \tabularnewline
180 & 148.143 & 147.508 & 0.635248 \tabularnewline
181 & 150.44 & 150.053 & 0.386724 \tabularnewline
182 & 148.462 & 152.402 & -3.93982 \tabularnewline
183 & 149.818 & 167.411 & -17.5926 \tabularnewline
184 & 117.226 & 130.89 & -13.6637 \tabularnewline
185 & 116.848 & 132.365 & -15.5167 \tabularnewline
186 & 116.286 & 134.562 & -18.2756 \tabularnewline
187 & 116.556 & 159.73 & -43.1736 \tabularnewline
188 & 116.342 & 169.204 & -52.8619 \tabularnewline
189 & 114.563 & 138.865 & -24.302 \tabularnewline
190 & 201.774 & 204.338 & -2.56434 \tabularnewline
191 & 174.188 & 182.451 & -8.26346 \tabularnewline
192 & 209.516 & 194.35 & 15.1663 \tabularnewline
193 & 174.688 & 183.637 & -8.94932 \tabularnewline
194 & 198.764 & 190.535 & 8.22926 \tabularnewline
195 & 214.289 & 181.585 & 32.7039 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=231481&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]107.223[/C][C]12.7688[/C][/ROW]
[ROW][C]2[/C][C]122.4[/C][C]126.911[/C][C]-4.51142[/C][/ROW]
[ROW][C]3[/C][C]116.682[/C][C]121.253[/C][C]-4.57077[/C][/ROW]
[ROW][C]4[/C][C]116.676[/C][C]118.08[/C][C]-1.40447[/C][/ROW]
[ROW][C]5[/C][C]116.014[/C][C]119.263[/C][C]-3.24917[/C][/ROW]
[ROW][C]6[/C][C]120.552[/C][C]123.481[/C][C]-2.92946[/C][/ROW]
[ROW][C]7[/C][C]120.267[/C][C]116.868[/C][C]3.39867[/C][/ROW]
[ROW][C]8[/C][C]107.332[/C][C]114.538[/C][C]-7.2059[/C][/ROW]
[ROW][C]9[/C][C]95.73[/C][C]90.87[/C][C]4.85996[/C][/ROW]
[ROW][C]10[/C][C]95.056[/C][C]84.1834[/C][C]10.8726[/C][/ROW]
[ROW][C]11[/C][C]88.333[/C][C]79.5725[/C][C]8.76045[/C][/ROW]
[ROW][C]12[/C][C]91.904[/C][C]84.8379[/C][C]7.06608[/C][/ROW]
[ROW][C]13[/C][C]136.926[/C][C]166.11[/C][C]-29.1837[/C][/ROW]
[ROW][C]14[/C][C]139.173[/C][C]140.444[/C][C]-1.27085[/C][/ROW]
[ROW][C]15[/C][C]152.845[/C][C]155.553[/C][C]-2.70842[/C][/ROW]
[ROW][C]16[/C][C]142.167[/C][C]142.446[/C][C]-0.279462[/C][/ROW]
[ROW][C]17[/C][C]144.188[/C][C]148.688[/C][C]-4.5004[/C][/ROW]
[ROW][C]18[/C][C]168.778[/C][C]159.981[/C][C]8.79721[/C][/ROW]
[ROW][C]19[/C][C]153.046[/C][C]122.426[/C][C]30.62[/C][/ROW]
[ROW][C]20[/C][C]156.405[/C][C]154.706[/C][C]1.69855[/C][/ROW]
[ROW][C]21[/C][C]153.848[/C][C]139.193[/C][C]14.655[/C][/ROW]
[ROW][C]22[/C][C]153.88[/C][C]135.267[/C][C]18.6128[/C][/ROW]
[ROW][C]23[/C][C]167.93[/C][C]138.034[/C][C]29.8962[/C][/ROW]
[ROW][C]24[/C][C]173.917[/C][C]150.59[/C][C]23.3267[/C][/ROW]
[ROW][C]25[/C][C]163.656[/C][C]147.577[/C][C]16.0789[/C][/ROW]
[ROW][C]26[/C][C]104.4[/C][C]94.7973[/C][C]9.6027[/C][/ROW]
[ROW][C]27[/C][C]171.041[/C][C]149.183[/C][C]21.8581[/C][/ROW]
[ROW][C]28[/C][C]146.845[/C][C]153.25[/C][C]-6.4045[/C][/ROW]
[ROW][C]29[/C][C]155.358[/C][C]160.233[/C][C]-4.87515[/C][/ROW]
[ROW][C]30[/C][C]162.568[/C][C]148.035[/C][C]14.5331[/C][/ROW]
[ROW][C]31[/C][C]197.076[/C][C]197.992[/C][C]-0.915834[/C][/ROW]
[ROW][C]32[/C][C]199.228[/C][C]191.874[/C][C]7.35413[/C][/ROW]
[ROW][C]33[/C][C]198.383[/C][C]181.93[/C][C]16.4525[/C][/ROW]
[ROW][C]34[/C][C]202.266[/C][C]184.986[/C][C]17.2802[/C][/ROW]
[ROW][C]35[/C][C]203.184[/C][C]181.117[/C][C]22.0669[/C][/ROW]
[ROW][C]36[/C][C]201.464[/C][C]193.432[/C][C]8.03247[/C][/ROW]
[ROW][C]37[/C][C]177.876[/C][C]181.936[/C][C]-4.05982[/C][/ROW]
[ROW][C]38[/C][C]176.17[/C][C]170.54[/C][C]5.6301[/C][/ROW]
[ROW][C]39[/C][C]180.198[/C][C]163.39[/C][C]16.8083[/C][/ROW]
[ROW][C]40[/C][C]187.733[/C][C]169.332[/C][C]18.4008[/C][/ROW]
[ROW][C]41[/C][C]186.163[/C][C]168.931[/C][C]17.2319[/C][/ROW]
[ROW][C]42[/C][C]184.055[/C][C]177.58[/C][C]6.47533[/C][/ROW]
[ROW][C]43[/C][C]237.226[/C][C]239.15[/C][C]-1.92356[/C][/ROW]
[ROW][C]44[/C][C]241.404[/C][C]237.109[/C][C]4.2945[/C][/ROW]
[ROW][C]45[/C][C]243.439[/C][C]225.618[/C][C]17.8214[/C][/ROW]
[ROW][C]46[/C][C]242.852[/C][C]228.121[/C][C]14.7313[/C][/ROW]
[ROW][C]47[/C][C]245.51[/C][C]231.367[/C][C]14.1428[/C][/ROW]
[ROW][C]48[/C][C]252.455[/C][C]206.646[/C][C]45.8087[/C][/ROW]
[ROW][C]49[/C][C]122.188[/C][C]134.894[/C][C]-12.7061[/C][/ROW]
[ROW][C]50[/C][C]122.964[/C][C]136.292[/C][C]-13.3276[/C][/ROW]
[ROW][C]51[/C][C]124.445[/C][C]135.575[/C][C]-11.1302[/C][/ROW]
[ROW][C]52[/C][C]126.344[/C][C]125.177[/C][C]1.16705[/C][/ROW]
[ROW][C]53[/C][C]128.001[/C][C]143.417[/C][C]-15.4158[/C][/ROW]
[ROW][C]54[/C][C]129.336[/C][C]129.444[/C][C]-0.107968[/C][/ROW]
[ROW][C]55[/C][C]108.807[/C][C]89.2147[/C][C]19.5923[/C][/ROW]
[ROW][C]56[/C][C]109.86[/C][C]87.7037[/C][C]22.1563[/C][/ROW]
[ROW][C]57[/C][C]110.417[/C][C]91.9397[/C][C]18.4773[/C][/ROW]
[ROW][C]58[/C][C]117.274[/C][C]102.145[/C][C]15.1287[/C][/ROW]
[ROW][C]59[/C][C]116.879[/C][C]86.2713[/C][C]30.6077[/C][/ROW]
[ROW][C]60[/C][C]114.847[/C][C]79.9247[/C][C]34.9223[/C][/ROW]
[ROW][C]61[/C][C]209.144[/C][C]194.823[/C][C]14.3205[/C][/ROW]
[ROW][C]62[/C][C]223.365[/C][C]192.771[/C][C]30.5943[/C][/ROW]
[ROW][C]63[/C][C]222.236[/C][C]213.546[/C][C]8.6895[/C][/ROW]
[ROW][C]64[/C][C]228.832[/C][C]230.093[/C][C]-1.26116[/C][/ROW]
[ROW][C]65[/C][C]229.401[/C][C]218.584[/C][C]10.8169[/C][/ROW]
[ROW][C]66[/C][C]228.969[/C][C]191.777[/C][C]37.1921[/C][/ROW]
[ROW][C]67[/C][C]140.341[/C][C]140.558[/C][C]-0.217081[/C][/ROW]
[ROW][C]68[/C][C]136.969[/C][C]128.52[/C][C]8.44855[/C][/ROW]
[ROW][C]69[/C][C]143.533[/C][C]134.03[/C][C]9.50286[/C][/ROW]
[ROW][C]70[/C][C]148.09[/C][C]149.741[/C][C]-1.65059[/C][/ROW]
[ROW][C]71[/C][C]142.729[/C][C]128.514[/C][C]14.2154[/C][/ROW]
[ROW][C]72[/C][C]136.358[/C][C]131.318[/C][C]5.03983[/C][/ROW]
[ROW][C]73[/C][C]120.08[/C][C]137.495[/C][C]-17.4153[/C][/ROW]
[ROW][C]74[/C][C]112.014[/C][C]118.709[/C][C]-6.69547[/C][/ROW]
[ROW][C]75[/C][C]110.793[/C][C]119.335[/C][C]-8.54164[/C][/ROW]
[ROW][C]76[/C][C]110.707[/C][C]103.503[/C][C]7.20441[/C][/ROW]
[ROW][C]77[/C][C]112.876[/C][C]134.056[/C][C]-21.1797[/C][/ROW]
[ROW][C]78[/C][C]110.568[/C][C]112.691[/C][C]-2.12301[/C][/ROW]
[ROW][C]79[/C][C]95.385[/C][C]94.596[/C][C]0.789023[/C][/ROW]
[ROW][C]80[/C][C]100.77[/C][C]83.9556[/C][C]16.8144[/C][/ROW]
[ROW][C]81[/C][C]96.106[/C][C]95.3772[/C][C]0.72879[/C][/ROW]
[ROW][C]82[/C][C]95.605[/C][C]99.2319[/C][C]-3.62692[/C][/ROW]
[ROW][C]83[/C][C]100.96[/C][C]100.629[/C][C]0.331237[/C][/ROW]
[ROW][C]84[/C][C]98.804[/C][C]110.782[/C][C]-11.9781[/C][/ROW]
[ROW][C]85[/C][C]176.858[/C][C]179.133[/C][C]-2.27515[/C][/ROW]
[ROW][C]86[/C][C]180.978[/C][C]194.04[/C][C]-13.062[/C][/ROW]
[ROW][C]87[/C][C]178.222[/C][C]177.987[/C][C]0.235069[/C][/ROW]
[ROW][C]88[/C][C]176.281[/C][C]178.949[/C][C]-2.6682[/C][/ROW]
[ROW][C]89[/C][C]173.898[/C][C]154.901[/C][C]18.9974[/C][/ROW]
[ROW][C]90[/C][C]179.711[/C][C]178.974[/C][C]0.73736[/C][/ROW]
[ROW][C]91[/C][C]166.605[/C][C]164.283[/C][C]2.32169[/C][/ROW]
[ROW][C]92[/C][C]151.955[/C][C]173.453[/C][C]-21.4984[/C][/ROW]
[ROW][C]93[/C][C]148.272[/C][C]165.918[/C][C]-17.6458[/C][/ROW]
[ROW][C]94[/C][C]152.125[/C][C]141.894[/C][C]10.2311[/C][/ROW]
[ROW][C]95[/C][C]157.821[/C][C]163.178[/C][C]-5.35745[/C][/ROW]
[ROW][C]96[/C][C]157.447[/C][C]183.012[/C][C]-25.565[/C][/ROW]
[ROW][C]97[/C][C]159.116[/C][C]178.368[/C][C]-19.2521[/C][/ROW]
[ROW][C]98[/C][C]125.036[/C][C]131.17[/C][C]-6.13398[/C][/ROW]
[ROW][C]99[/C][C]125.791[/C][C]120.841[/C][C]4.94984[/C][/ROW]
[ROW][C]100[/C][C]126.512[/C][C]110.581[/C][C]15.9313[/C][/ROW]
[ROW][C]101[/C][C]125.641[/C][C]106.669[/C][C]18.9724[/C][/ROW]
[ROW][C]102[/C][C]128.451[/C][C]121.121[/C][C]7.32985[/C][/ROW]
[ROW][C]103[/C][C]139.224[/C][C]146.26[/C][C]-7.03578[/C][/ROW]
[ROW][C]104[/C][C]150.258[/C][C]135.395[/C][C]14.863[/C][/ROW]
[ROW][C]105[/C][C]154.003[/C][C]169.003[/C][C]-14.9998[/C][/ROW]
[ROW][C]106[/C][C]149.689[/C][C]153.999[/C][C]-4.31007[/C][/ROW]
[ROW][C]107[/C][C]155.078[/C][C]173.885[/C][C]-18.8065[/C][/ROW]
[ROW][C]108[/C][C]151.884[/C][C]157.045[/C][C]-5.16072[/C][/ROW]
[ROW][C]109[/C][C]151.989[/C][C]171.401[/C][C]-19.4118[/C][/ROW]
[ROW][C]110[/C][C]193.03[/C][C]184.537[/C][C]8.49268[/C][/ROW]
[ROW][C]111[/C][C]200.714[/C][C]186.411[/C][C]14.3034[/C][/ROW]
[ROW][C]112[/C][C]208.519[/C][C]218.335[/C][C]-9.81591[/C][/ROW]
[ROW][C]113[/C][C]204.664[/C][C]220.602[/C][C]-15.9377[/C][/ROW]
[ROW][C]114[/C][C]210.141[/C][C]196.517[/C][C]13.6238[/C][/ROW]
[ROW][C]115[/C][C]206.327[/C][C]199.807[/C][C]6.52036[/C][/ROW]
[ROW][C]116[/C][C]151.872[/C][C]151.26[/C][C]0.612436[/C][/ROW]
[ROW][C]117[/C][C]158.219[/C][C]167.939[/C][C]-9.71965[/C][/ROW]
[ROW][C]118[/C][C]170.756[/C][C]176.165[/C][C]-5.40921[/C][/ROW]
[ROW][C]119[/C][C]178.285[/C][C]168.04[/C][C]10.2445[/C][/ROW]
[ROW][C]120[/C][C]217.116[/C][C]196.832[/C][C]20.2839[/C][/ROW]
[ROW][C]121[/C][C]128.94[/C][C]137.325[/C][C]-8.38483[/C][/ROW]
[ROW][C]122[/C][C]176.824[/C][C]159.03[/C][C]17.7938[/C][/ROW]
[ROW][C]123[/C][C]138.19[/C][C]141.515[/C][C]-3.32482[/C][/ROW]
[ROW][C]124[/C][C]182.018[/C][C]167.774[/C][C]14.2443[/C][/ROW]
[ROW][C]125[/C][C]156.239[/C][C]158.723[/C][C]-2.4842[/C][/ROW]
[ROW][C]126[/C][C]145.174[/C][C]137.329[/C][C]7.84476[/C][/ROW]
[ROW][C]127[/C][C]138.145[/C][C]128.965[/C][C]9.18026[/C][/ROW]
[ROW][C]128[/C][C]166.888[/C][C]151.392[/C][C]15.496[/C][/ROW]
[ROW][C]129[/C][C]119.031[/C][C]138.506[/C][C]-19.4753[/C][/ROW]
[ROW][C]130[/C][C]120.078[/C][C]138.87[/C][C]-18.7923[/C][/ROW]
[ROW][C]131[/C][C]120.289[/C][C]137.483[/C][C]-17.1944[/C][/ROW]
[ROW][C]132[/C][C]120.256[/C][C]144.835[/C][C]-24.5786[/C][/ROW]
[ROW][C]133[/C][C]119.056[/C][C]133.774[/C][C]-14.7182[/C][/ROW]
[ROW][C]134[/C][C]118.747[/C][C]133.573[/C][C]-14.8255[/C][/ROW]
[ROW][C]135[/C][C]106.516[/C][C]107.181[/C][C]-0.66496[/C][/ROW]
[ROW][C]136[/C][C]110.453[/C][C]142.143[/C][C]-31.6898[/C][/ROW]
[ROW][C]137[/C][C]113.4[/C][C]119.23[/C][C]-5.83029[/C][/ROW]
[ROW][C]138[/C][C]113.166[/C][C]138.258[/C][C]-25.0925[/C][/ROW]
[ROW][C]139[/C][C]112.239[/C][C]136.841[/C][C]-24.6023[/C][/ROW]
[ROW][C]140[/C][C]116.15[/C][C]141.765[/C][C]-25.6151[/C][/ROW]
[ROW][C]141[/C][C]170.368[/C][C]168.192[/C][C]2.17589[/C][/ROW]
[ROW][C]142[/C][C]208.083[/C][C]204.05[/C][C]4.03331[/C][/ROW]
[ROW][C]143[/C][C]198.458[/C][C]192.489[/C][C]5.96938[/C][/ROW]
[ROW][C]144[/C][C]202.805[/C][C]177.833[/C][C]24.9722[/C][/ROW]
[ROW][C]145[/C][C]202.544[/C][C]203.328[/C][C]-0.784309[/C][/ROW]
[ROW][C]146[/C][C]223.361[/C][C]197.059[/C][C]26.302[/C][/ROW]
[ROW][C]147[/C][C]169.774[/C][C]161.612[/C][C]8.16188[/C][/ROW]
[ROW][C]148[/C][C]183.52[/C][C]197.984[/C][C]-14.4643[/C][/ROW]
[ROW][C]149[/C][C]188.62[/C][C]210.438[/C][C]-21.818[/C][/ROW]
[ROW][C]150[/C][C]202.632[/C][C]218.77[/C][C]-16.1378[/C][/ROW]
[ROW][C]151[/C][C]186.695[/C][C]180.206[/C][C]6.48869[/C][/ROW]
[ROW][C]152[/C][C]192.818[/C][C]194.3[/C][C]-1.48211[/C][/ROW]
[ROW][C]153[/C][C]198.116[/C][C]225.957[/C][C]-27.8413[/C][/ROW]
[ROW][C]154[/C][C]121.345[/C][C]124.9[/C][C]-3.55498[/C][/ROW]
[ROW][C]155[/C][C]119.1[/C][C]124.217[/C][C]-5.11704[/C][/ROW]
[ROW][C]156[/C][C]117.87[/C][C]146.367[/C][C]-28.4966[/C][/ROW]
[ROW][C]157[/C][C]122.336[/C][C]147.911[/C][C]-25.5749[/C][/ROW]
[ROW][C]158[/C][C]117.963[/C][C]125.073[/C][C]-7.10999[/C][/ROW]
[ROW][C]159[/C][C]126.144[/C][C]154.939[/C][C]-28.795[/C][/ROW]
[ROW][C]160[/C][C]127.93[/C][C]122.267[/C][C]5.66264[/C][/ROW]
[ROW][C]161[/C][C]114.238[/C][C]96.0135[/C][C]18.2245[/C][/ROW]
[ROW][C]162[/C][C]115.322[/C][C]130.112[/C][C]-14.7904[/C][/ROW]
[ROW][C]163[/C][C]114.554[/C][C]105.967[/C][C]8.58659[/C][/ROW]
[ROW][C]164[/C][C]112.15[/C][C]128.744[/C][C]-16.594[/C][/ROW]
[ROW][C]165[/C][C]102.273[/C][C]96.0555[/C][C]6.21753[/C][/ROW]
[ROW][C]166[/C][C]236.2[/C][C]203.67[/C][C]32.5295[/C][/ROW]
[ROW][C]167[/C][C]237.323[/C][C]238.23[/C][C]-0.906904[/C][/ROW]
[ROW][C]168[/C][C]260.105[/C][C]247.304[/C][C]12.8014[/C][/ROW]
[ROW][C]169[/C][C]197.569[/C][C]208.466[/C][C]-10.8966[/C][/ROW]
[ROW][C]170[/C][C]240.301[/C][C]246.324[/C][C]-6.0231[/C][/ROW]
[ROW][C]171[/C][C]244.99[/C][C]241.221[/C][C]3.76861[/C][/ROW]
[ROW][C]172[/C][C]112.547[/C][C]134.746[/C][C]-22.199[/C][/ROW]
[ROW][C]173[/C][C]110.739[/C][C]130.666[/C][C]-19.9274[/C][/ROW]
[ROW][C]174[/C][C]113.715[/C][C]128.3[/C][C]-14.5848[/C][/ROW]
[ROW][C]175[/C][C]117.004[/C][C]137.849[/C][C]-20.8451[/C][/ROW]
[ROW][C]176[/C][C]115.38[/C][C]134.113[/C][C]-18.7326[/C][/ROW]
[ROW][C]177[/C][C]116.388[/C][C]133.878[/C][C]-17.49[/C][/ROW]
[ROW][C]178[/C][C]151.737[/C][C]156.812[/C][C]-5.07451[/C][/ROW]
[ROW][C]179[/C][C]148.79[/C][C]154.64[/C][C]-5.85021[/C][/ROW]
[ROW][C]180[/C][C]148.143[/C][C]147.508[/C][C]0.635248[/C][/ROW]
[ROW][C]181[/C][C]150.44[/C][C]150.053[/C][C]0.386724[/C][/ROW]
[ROW][C]182[/C][C]148.462[/C][C]152.402[/C][C]-3.93982[/C][/ROW]
[ROW][C]183[/C][C]149.818[/C][C]167.411[/C][C]-17.5926[/C][/ROW]
[ROW][C]184[/C][C]117.226[/C][C]130.89[/C][C]-13.6637[/C][/ROW]
[ROW][C]185[/C][C]116.848[/C][C]132.365[/C][C]-15.5167[/C][/ROW]
[ROW][C]186[/C][C]116.286[/C][C]134.562[/C][C]-18.2756[/C][/ROW]
[ROW][C]187[/C][C]116.556[/C][C]159.73[/C][C]-43.1736[/C][/ROW]
[ROW][C]188[/C][C]116.342[/C][C]169.204[/C][C]-52.8619[/C][/ROW]
[ROW][C]189[/C][C]114.563[/C][C]138.865[/C][C]-24.302[/C][/ROW]
[ROW][C]190[/C][C]201.774[/C][C]204.338[/C][C]-2.56434[/C][/ROW]
[ROW][C]191[/C][C]174.188[/C][C]182.451[/C][C]-8.26346[/C][/ROW]
[ROW][C]192[/C][C]209.516[/C][C]194.35[/C][C]15.1663[/C][/ROW]
[ROW][C]193[/C][C]174.688[/C][C]183.637[/C][C]-8.94932[/C][/ROW]
[ROW][C]194[/C][C]198.764[/C][C]190.535[/C][C]8.22926[/C][/ROW]
[ROW][C]195[/C][C]214.289[/C][C]181.585[/C][C]32.7039[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=231481&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=231481&T=4

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


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

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
1119.992107.22312.7688
2122.4126.911-4.51142
3116.682121.253-4.57077
4116.676118.08-1.40447
5116.014119.263-3.24917
6120.552123.481-2.92946
7120.267116.8683.39867
8107.332114.538-7.2059
995.7390.874.85996
1095.05684.183410.8726
1188.33379.57258.76045
1291.90484.83797.06608
13136.926166.11-29.1837
14139.173140.444-1.27085
15152.845155.553-2.70842
16142.167142.446-0.279462
17144.188148.688-4.5004
18168.778159.9818.79721
19153.046122.42630.62
20156.405154.7061.69855
21153.848139.19314.655
22153.88135.26718.6128
23167.93138.03429.8962
24173.917150.5923.3267
25163.656147.57716.0789
26104.494.79739.6027
27171.041149.18321.8581
28146.845153.25-6.4045
29155.358160.233-4.87515
30162.568148.03514.5331
31197.076197.992-0.915834
32199.228191.8747.35413
33198.383181.9316.4525
34202.266184.98617.2802
35203.184181.11722.0669
36201.464193.4328.03247
37177.876181.936-4.05982
38176.17170.545.6301
39180.198163.3916.8083
40187.733169.33218.4008
41186.163168.93117.2319
42184.055177.586.47533
43237.226239.15-1.92356
44241.404237.1094.2945
45243.439225.61817.8214
46242.852228.12114.7313
47245.51231.36714.1428
48252.455206.64645.8087
49122.188134.894-12.7061
50122.964136.292-13.3276
51124.445135.575-11.1302
52126.344125.1771.16705
53128.001143.417-15.4158
54129.336129.444-0.107968
55108.80789.214719.5923
56109.8687.703722.1563
57110.41791.939718.4773
58117.274102.14515.1287
59116.87986.271330.6077
60114.84779.924734.9223
61209.144194.82314.3205
62223.365192.77130.5943
63222.236213.5468.6895
64228.832230.093-1.26116
65229.401218.58410.8169
66228.969191.77737.1921
67140.341140.558-0.217081
68136.969128.528.44855
69143.533134.039.50286
70148.09149.741-1.65059
71142.729128.51414.2154
72136.358131.3185.03983
73120.08137.495-17.4153
74112.014118.709-6.69547
75110.793119.335-8.54164
76110.707103.5037.20441
77112.876134.056-21.1797
78110.568112.691-2.12301
7995.38594.5960.789023
80100.7783.955616.8144
8196.10695.37720.72879
8295.60599.2319-3.62692
83100.96100.6290.331237
8498.804110.782-11.9781
85176.858179.133-2.27515
86180.978194.04-13.062
87178.222177.9870.235069
88176.281178.949-2.6682
89173.898154.90118.9974
90179.711178.9740.73736
91166.605164.2832.32169
92151.955173.453-21.4984
93148.272165.918-17.6458
94152.125141.89410.2311
95157.821163.178-5.35745
96157.447183.012-25.565
97159.116178.368-19.2521
98125.036131.17-6.13398
99125.791120.8414.94984
100126.512110.58115.9313
101125.641106.66918.9724
102128.451121.1217.32985
103139.224146.26-7.03578
104150.258135.39514.863
105154.003169.003-14.9998
106149.689153.999-4.31007
107155.078173.885-18.8065
108151.884157.045-5.16072
109151.989171.401-19.4118
110193.03184.5378.49268
111200.714186.41114.3034
112208.519218.335-9.81591
113204.664220.602-15.9377
114210.141196.51713.6238
115206.327199.8076.52036
116151.872151.260.612436
117158.219167.939-9.71965
118170.756176.165-5.40921
119178.285168.0410.2445
120217.116196.83220.2839
121128.94137.325-8.38483
122176.824159.0317.7938
123138.19141.515-3.32482
124182.018167.77414.2443
125156.239158.723-2.4842
126145.174137.3297.84476
127138.145128.9659.18026
128166.888151.39215.496
129119.031138.506-19.4753
130120.078138.87-18.7923
131120.289137.483-17.1944
132120.256144.835-24.5786
133119.056133.774-14.7182
134118.747133.573-14.8255
135106.516107.181-0.66496
136110.453142.143-31.6898
137113.4119.23-5.83029
138113.166138.258-25.0925
139112.239136.841-24.6023
140116.15141.765-25.6151
141170.368168.1922.17589
142208.083204.054.03331
143198.458192.4895.96938
144202.805177.83324.9722
145202.544203.328-0.784309
146223.361197.05926.302
147169.774161.6128.16188
148183.52197.984-14.4643
149188.62210.438-21.818
150202.632218.77-16.1378
151186.695180.2066.48869
152192.818194.3-1.48211
153198.116225.957-27.8413
154121.345124.9-3.55498
155119.1124.217-5.11704
156117.87146.367-28.4966
157122.336147.911-25.5749
158117.963125.073-7.10999
159126.144154.939-28.795
160127.93122.2675.66264
161114.23896.013518.2245
162115.322130.112-14.7904
163114.554105.9678.58659
164112.15128.744-16.594
165102.27396.05556.21753
166236.2203.6732.5295
167237.323238.23-0.906904
168260.105247.30412.8014
169197.569208.466-10.8966
170240.301246.324-6.0231
171244.99241.2213.76861
172112.547134.746-22.199
173110.739130.666-19.9274
174113.715128.3-14.5848
175117.004137.849-20.8451
176115.38134.113-18.7326
177116.388133.878-17.49
178151.737156.812-5.07451
179148.79154.64-5.85021
180148.143147.5080.635248
181150.44150.0530.386724
182148.462152.402-3.93982
183149.818167.411-17.5926
184117.226130.89-13.6637
185116.848132.365-15.5167
186116.286134.562-18.2756
187116.556159.73-43.1736
188116.342169.204-52.8619
189114.563138.865-24.302
190201.774204.338-2.56434
191174.188182.451-8.26346
192209.516194.3515.1663
193174.688183.637-8.94932
194198.764190.5358.22926
195214.289181.58532.7039






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
250.1826280.3652560.817372
260.08711640.1742330.912884
270.03895560.07791110.961044
280.04024470.08048940.959755
290.01751880.03503760.982481
300.008486020.0169720.991514
310.003351960.006703910.996648
320.001501730.003003460.998498
330.001019140.002038270.998981
340.0006937780.001387560.999306
350.0002932590.0005865180.999707
360.0001173650.0002347310.999883
376.54923e-050.0001309850.999935
382.438e-054.876e-050.999976
390.000103550.0002070990.999896
400.0001491030.0002982050.999851
410.0001053420.0002106840.999895
424.92456e-059.84912e-050.999951
436.09299e-050.000121860.999939
444.77789e-059.55577e-050.999952
458.52043e-050.0001704090.999915
469.50019e-050.0001900040.999905
479.86436e-050.0001972870.999901
480.006653520.0133070.993346
490.004549920.009099830.99545
500.003462510.006925020.996537
510.00210890.00421780.997891
520.001567930.003135860.998432
530.001016290.002032580.998984
540.0006002930.001200590.9994
550.00345920.006918390.996541
560.00679930.01359860.993201
570.00594050.0118810.99406
580.008331230.01666250.991669
590.01418710.02837410.985813
600.02996020.05992050.97004
610.02429030.04858070.97571
620.0401210.0802420.959879
630.04088710.08177420.959113
640.04296190.08592370.957038
650.04506420.09012850.954936
660.1022710.2045420.897729
670.08595390.1719080.914046
680.06759590.1351920.932404
690.05410070.1082010.945899
700.06809110.1361820.931909
710.05411560.1082310.945884
720.04455110.08910230.955449
730.04042440.08084890.959576
740.1852660.3705330.814734
750.2427340.4854680.757266
760.2123280.4246560.787672
770.2002640.4005290.799736
780.1749020.3498040.825098
790.1749330.3498660.825067
800.1828380.3656760.817162
810.212180.4243590.78782
820.1955380.3910760.804462
830.2231490.4462970.776851
840.2720710.5441430.727929
850.3345620.6691240.665438
860.2969960.5939920.703004
870.3021260.6042530.697874
880.2654730.5309460.734527
890.3111540.6223090.688846
900.2896080.5792150.710392
910.2545370.5090740.745463
920.264720.5294390.73528
930.2617190.5234390.738281
940.2608930.5217860.739107
950.2247190.4494390.775281
960.26070.5213990.7393
970.2801950.5603890.719805
980.2492190.4984380.750781
990.2174470.4348930.782553
1000.2113720.4227440.788628
1010.2059590.4119190.794041
1020.2012020.4024040.798798
1030.2576270.5152550.742373
1040.2744490.5488990.725551
1050.2715720.5431440.728428
1060.2355410.4710820.764459
1070.2119740.4239490.788026
1080.1803480.3606970.819652
1090.1796690.3593370.820331
1100.1586560.3173110.841344
1110.1410490.2820980.858951
1120.1266470.2532950.873353
1130.1325180.2650360.867482
1140.154260.308520.84574
1150.128790.257580.87121
1160.1116880.2233760.888312
1170.09961450.1992290.900386
1180.08482240.1696450.915178
1190.08373240.1674650.916268
1200.1293960.2587920.870604
1210.1617490.3234970.838251
1220.2004750.4009490.799525
1230.1769880.3539770.823012
1240.1630740.3261490.836926
1250.1403380.2806750.859662
1260.139980.279960.86002
1270.15220.3044010.8478
1280.3152490.6304990.684751
1290.3015850.6031690.698415
1300.2931180.5862360.706882
1310.2744940.5489890.725506
1320.2841660.5683330.715834
1330.2914840.5829680.708516
1340.2752830.5505650.724717
1350.4337880.8675750.566212
1360.5048570.9902860.495143
1370.4633630.9267260.536637
1380.5161520.9676960.483848
1390.5521470.8957060.447853
1400.7510590.4978820.248941
1410.7151160.5697680.284884
1420.691470.6170590.30853
1430.6973520.6052960.302648
1440.7145910.5708170.285409
1450.761220.477560.23878
1460.7645170.4709660.235483
1470.7519140.4961720.248086
1480.7368290.5263420.263171
1490.7691270.4617470.230873
1500.7225050.5549910.277495
1510.7540180.4919640.245982
1520.724450.55110.27555
1530.7180080.5639850.281992
1540.7056180.5887640.294382
1550.729940.540120.27006
1560.8402020.3195960.159798
1570.8049080.3901840.195092
1580.7577030.4845940.242297
1590.7302020.5395960.269798
1600.6658550.6682890.334145
1610.5876680.8246630.412332
1620.7809770.4380450.219023
1630.7100170.5799660.289983
1640.6545470.6909060.345453
1650.6535730.6928540.346427
1660.8498230.3003540.150177
1670.762490.475020.23751
1680.722880.554240.27712
1690.7104530.5790950.289547
1700.7594740.4810520.240526

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
25 & 0.182628 & 0.365256 & 0.817372 \tabularnewline
26 & 0.0871164 & 0.174233 & 0.912884 \tabularnewline
27 & 0.0389556 & 0.0779111 & 0.961044 \tabularnewline
28 & 0.0402447 & 0.0804894 & 0.959755 \tabularnewline
29 & 0.0175188 & 0.0350376 & 0.982481 \tabularnewline
30 & 0.00848602 & 0.016972 & 0.991514 \tabularnewline
31 & 0.00335196 & 0.00670391 & 0.996648 \tabularnewline
32 & 0.00150173 & 0.00300346 & 0.998498 \tabularnewline
33 & 0.00101914 & 0.00203827 & 0.998981 \tabularnewline
34 & 0.000693778 & 0.00138756 & 0.999306 \tabularnewline
35 & 0.000293259 & 0.000586518 & 0.999707 \tabularnewline
36 & 0.000117365 & 0.000234731 & 0.999883 \tabularnewline
37 & 6.54923e-05 & 0.000130985 & 0.999935 \tabularnewline
38 & 2.438e-05 & 4.876e-05 & 0.999976 \tabularnewline
39 & 0.00010355 & 0.000207099 & 0.999896 \tabularnewline
40 & 0.000149103 & 0.000298205 & 0.999851 \tabularnewline
41 & 0.000105342 & 0.000210684 & 0.999895 \tabularnewline
42 & 4.92456e-05 & 9.84912e-05 & 0.999951 \tabularnewline
43 & 6.09299e-05 & 0.00012186 & 0.999939 \tabularnewline
44 & 4.77789e-05 & 9.55577e-05 & 0.999952 \tabularnewline
45 & 8.52043e-05 & 0.000170409 & 0.999915 \tabularnewline
46 & 9.50019e-05 & 0.000190004 & 0.999905 \tabularnewline
47 & 9.86436e-05 & 0.000197287 & 0.999901 \tabularnewline
48 & 0.00665352 & 0.013307 & 0.993346 \tabularnewline
49 & 0.00454992 & 0.00909983 & 0.99545 \tabularnewline
50 & 0.00346251 & 0.00692502 & 0.996537 \tabularnewline
51 & 0.0021089 & 0.0042178 & 0.997891 \tabularnewline
52 & 0.00156793 & 0.00313586 & 0.998432 \tabularnewline
53 & 0.00101629 & 0.00203258 & 0.998984 \tabularnewline
54 & 0.000600293 & 0.00120059 & 0.9994 \tabularnewline
55 & 0.0034592 & 0.00691839 & 0.996541 \tabularnewline
56 & 0.0067993 & 0.0135986 & 0.993201 \tabularnewline
57 & 0.0059405 & 0.011881 & 0.99406 \tabularnewline
58 & 0.00833123 & 0.0166625 & 0.991669 \tabularnewline
59 & 0.0141871 & 0.0283741 & 0.985813 \tabularnewline
60 & 0.0299602 & 0.0599205 & 0.97004 \tabularnewline
61 & 0.0242903 & 0.0485807 & 0.97571 \tabularnewline
62 & 0.040121 & 0.080242 & 0.959879 \tabularnewline
63 & 0.0408871 & 0.0817742 & 0.959113 \tabularnewline
64 & 0.0429619 & 0.0859237 & 0.957038 \tabularnewline
65 & 0.0450642 & 0.0901285 & 0.954936 \tabularnewline
66 & 0.102271 & 0.204542 & 0.897729 \tabularnewline
67 & 0.0859539 & 0.171908 & 0.914046 \tabularnewline
68 & 0.0675959 & 0.135192 & 0.932404 \tabularnewline
69 & 0.0541007 & 0.108201 & 0.945899 \tabularnewline
70 & 0.0680911 & 0.136182 & 0.931909 \tabularnewline
71 & 0.0541156 & 0.108231 & 0.945884 \tabularnewline
72 & 0.0445511 & 0.0891023 & 0.955449 \tabularnewline
73 & 0.0404244 & 0.0808489 & 0.959576 \tabularnewline
74 & 0.185266 & 0.370533 & 0.814734 \tabularnewline
75 & 0.242734 & 0.485468 & 0.757266 \tabularnewline
76 & 0.212328 & 0.424656 & 0.787672 \tabularnewline
77 & 0.200264 & 0.400529 & 0.799736 \tabularnewline
78 & 0.174902 & 0.349804 & 0.825098 \tabularnewline
79 & 0.174933 & 0.349866 & 0.825067 \tabularnewline
80 & 0.182838 & 0.365676 & 0.817162 \tabularnewline
81 & 0.21218 & 0.424359 & 0.78782 \tabularnewline
82 & 0.195538 & 0.391076 & 0.804462 \tabularnewline
83 & 0.223149 & 0.446297 & 0.776851 \tabularnewline
84 & 0.272071 & 0.544143 & 0.727929 \tabularnewline
85 & 0.334562 & 0.669124 & 0.665438 \tabularnewline
86 & 0.296996 & 0.593992 & 0.703004 \tabularnewline
87 & 0.302126 & 0.604253 & 0.697874 \tabularnewline
88 & 0.265473 & 0.530946 & 0.734527 \tabularnewline
89 & 0.311154 & 0.622309 & 0.688846 \tabularnewline
90 & 0.289608 & 0.579215 & 0.710392 \tabularnewline
91 & 0.254537 & 0.509074 & 0.745463 \tabularnewline
92 & 0.26472 & 0.529439 & 0.73528 \tabularnewline
93 & 0.261719 & 0.523439 & 0.738281 \tabularnewline
94 & 0.260893 & 0.521786 & 0.739107 \tabularnewline
95 & 0.224719 & 0.449439 & 0.775281 \tabularnewline
96 & 0.2607 & 0.521399 & 0.7393 \tabularnewline
97 & 0.280195 & 0.560389 & 0.719805 \tabularnewline
98 & 0.249219 & 0.498438 & 0.750781 \tabularnewline
99 & 0.217447 & 0.434893 & 0.782553 \tabularnewline
100 & 0.211372 & 0.422744 & 0.788628 \tabularnewline
101 & 0.205959 & 0.411919 & 0.794041 \tabularnewline
102 & 0.201202 & 0.402404 & 0.798798 \tabularnewline
103 & 0.257627 & 0.515255 & 0.742373 \tabularnewline
104 & 0.274449 & 0.548899 & 0.725551 \tabularnewline
105 & 0.271572 & 0.543144 & 0.728428 \tabularnewline
106 & 0.235541 & 0.471082 & 0.764459 \tabularnewline
107 & 0.211974 & 0.423949 & 0.788026 \tabularnewline
108 & 0.180348 & 0.360697 & 0.819652 \tabularnewline
109 & 0.179669 & 0.359337 & 0.820331 \tabularnewline
110 & 0.158656 & 0.317311 & 0.841344 \tabularnewline
111 & 0.141049 & 0.282098 & 0.858951 \tabularnewline
112 & 0.126647 & 0.253295 & 0.873353 \tabularnewline
113 & 0.132518 & 0.265036 & 0.867482 \tabularnewline
114 & 0.15426 & 0.30852 & 0.84574 \tabularnewline
115 & 0.12879 & 0.25758 & 0.87121 \tabularnewline
116 & 0.111688 & 0.223376 & 0.888312 \tabularnewline
117 & 0.0996145 & 0.199229 & 0.900386 \tabularnewline
118 & 0.0848224 & 0.169645 & 0.915178 \tabularnewline
119 & 0.0837324 & 0.167465 & 0.916268 \tabularnewline
120 & 0.129396 & 0.258792 & 0.870604 \tabularnewline
121 & 0.161749 & 0.323497 & 0.838251 \tabularnewline
122 & 0.200475 & 0.400949 & 0.799525 \tabularnewline
123 & 0.176988 & 0.353977 & 0.823012 \tabularnewline
124 & 0.163074 & 0.326149 & 0.836926 \tabularnewline
125 & 0.140338 & 0.280675 & 0.859662 \tabularnewline
126 & 0.13998 & 0.27996 & 0.86002 \tabularnewline
127 & 0.1522 & 0.304401 & 0.8478 \tabularnewline
128 & 0.315249 & 0.630499 & 0.684751 \tabularnewline
129 & 0.301585 & 0.603169 & 0.698415 \tabularnewline
130 & 0.293118 & 0.586236 & 0.706882 \tabularnewline
131 & 0.274494 & 0.548989 & 0.725506 \tabularnewline
132 & 0.284166 & 0.568333 & 0.715834 \tabularnewline
133 & 0.291484 & 0.582968 & 0.708516 \tabularnewline
134 & 0.275283 & 0.550565 & 0.724717 \tabularnewline
135 & 0.433788 & 0.867575 & 0.566212 \tabularnewline
136 & 0.504857 & 0.990286 & 0.495143 \tabularnewline
137 & 0.463363 & 0.926726 & 0.536637 \tabularnewline
138 & 0.516152 & 0.967696 & 0.483848 \tabularnewline
139 & 0.552147 & 0.895706 & 0.447853 \tabularnewline
140 & 0.751059 & 0.497882 & 0.248941 \tabularnewline
141 & 0.715116 & 0.569768 & 0.284884 \tabularnewline
142 & 0.69147 & 0.617059 & 0.30853 \tabularnewline
143 & 0.697352 & 0.605296 & 0.302648 \tabularnewline
144 & 0.714591 & 0.570817 & 0.285409 \tabularnewline
145 & 0.76122 & 0.47756 & 0.23878 \tabularnewline
146 & 0.764517 & 0.470966 & 0.235483 \tabularnewline
147 & 0.751914 & 0.496172 & 0.248086 \tabularnewline
148 & 0.736829 & 0.526342 & 0.263171 \tabularnewline
149 & 0.769127 & 0.461747 & 0.230873 \tabularnewline
150 & 0.722505 & 0.554991 & 0.277495 \tabularnewline
151 & 0.754018 & 0.491964 & 0.245982 \tabularnewline
152 & 0.72445 & 0.5511 & 0.27555 \tabularnewline
153 & 0.718008 & 0.563985 & 0.281992 \tabularnewline
154 & 0.705618 & 0.588764 & 0.294382 \tabularnewline
155 & 0.72994 & 0.54012 & 0.27006 \tabularnewline
156 & 0.840202 & 0.319596 & 0.159798 \tabularnewline
157 & 0.804908 & 0.390184 & 0.195092 \tabularnewline
158 & 0.757703 & 0.484594 & 0.242297 \tabularnewline
159 & 0.730202 & 0.539596 & 0.269798 \tabularnewline
160 & 0.665855 & 0.668289 & 0.334145 \tabularnewline
161 & 0.587668 & 0.824663 & 0.412332 \tabularnewline
162 & 0.780977 & 0.438045 & 0.219023 \tabularnewline
163 & 0.710017 & 0.579966 & 0.289983 \tabularnewline
164 & 0.654547 & 0.690906 & 0.345453 \tabularnewline
165 & 0.653573 & 0.692854 & 0.346427 \tabularnewline
166 & 0.849823 & 0.300354 & 0.150177 \tabularnewline
167 & 0.76249 & 0.47502 & 0.23751 \tabularnewline
168 & 0.72288 & 0.55424 & 0.27712 \tabularnewline
169 & 0.710453 & 0.579095 & 0.289547 \tabularnewline
170 & 0.759474 & 0.481052 & 0.240526 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=231481&T=5

[TABLE]
[ROW][C]Goldfeld-Quandt test for Heteroskedasticity[/C][/ROW]
[ROW][C]p-values[/C][C]Alternative Hypothesis[/C][/ROW]
[ROW][C]breakpoint index[/C][C]greater[/C][C]2-sided[/C][C]less[/C][/ROW]
[ROW][C]25[/C][C]0.182628[/C][C]0.365256[/C][C]0.817372[/C][/ROW]
[ROW][C]26[/C][C]0.0871164[/C][C]0.174233[/C][C]0.912884[/C][/ROW]
[ROW][C]27[/C][C]0.0389556[/C][C]0.0779111[/C][C]0.961044[/C][/ROW]
[ROW][C]28[/C][C]0.0402447[/C][C]0.0804894[/C][C]0.959755[/C][/ROW]
[ROW][C]29[/C][C]0.0175188[/C][C]0.0350376[/C][C]0.982481[/C][/ROW]
[ROW][C]30[/C][C]0.00848602[/C][C]0.016972[/C][C]0.991514[/C][/ROW]
[ROW][C]31[/C][C]0.00335196[/C][C]0.00670391[/C][C]0.996648[/C][/ROW]
[ROW][C]32[/C][C]0.00150173[/C][C]0.00300346[/C][C]0.998498[/C][/ROW]
[ROW][C]33[/C][C]0.00101914[/C][C]0.00203827[/C][C]0.998981[/C][/ROW]
[ROW][C]34[/C][C]0.000693778[/C][C]0.00138756[/C][C]0.999306[/C][/ROW]
[ROW][C]35[/C][C]0.000293259[/C][C]0.000586518[/C][C]0.999707[/C][/ROW]
[ROW][C]36[/C][C]0.000117365[/C][C]0.000234731[/C][C]0.999883[/C][/ROW]
[ROW][C]37[/C][C]6.54923e-05[/C][C]0.000130985[/C][C]0.999935[/C][/ROW]
[ROW][C]38[/C][C]2.438e-05[/C][C]4.876e-05[/C][C]0.999976[/C][/ROW]
[ROW][C]39[/C][C]0.00010355[/C][C]0.000207099[/C][C]0.999896[/C][/ROW]
[ROW][C]40[/C][C]0.000149103[/C][C]0.000298205[/C][C]0.999851[/C][/ROW]
[ROW][C]41[/C][C]0.000105342[/C][C]0.000210684[/C][C]0.999895[/C][/ROW]
[ROW][C]42[/C][C]4.92456e-05[/C][C]9.84912e-05[/C][C]0.999951[/C][/ROW]
[ROW][C]43[/C][C]6.09299e-05[/C][C]0.00012186[/C][C]0.999939[/C][/ROW]
[ROW][C]44[/C][C]4.77789e-05[/C][C]9.55577e-05[/C][C]0.999952[/C][/ROW]
[ROW][C]45[/C][C]8.52043e-05[/C][C]0.000170409[/C][C]0.999915[/C][/ROW]
[ROW][C]46[/C][C]9.50019e-05[/C][C]0.000190004[/C][C]0.999905[/C][/ROW]
[ROW][C]47[/C][C]9.86436e-05[/C][C]0.000197287[/C][C]0.999901[/C][/ROW]
[ROW][C]48[/C][C]0.00665352[/C][C]0.013307[/C][C]0.993346[/C][/ROW]
[ROW][C]49[/C][C]0.00454992[/C][C]0.00909983[/C][C]0.99545[/C][/ROW]
[ROW][C]50[/C][C]0.00346251[/C][C]0.00692502[/C][C]0.996537[/C][/ROW]
[ROW][C]51[/C][C]0.0021089[/C][C]0.0042178[/C][C]0.997891[/C][/ROW]
[ROW][C]52[/C][C]0.00156793[/C][C]0.00313586[/C][C]0.998432[/C][/ROW]
[ROW][C]53[/C][C]0.00101629[/C][C]0.00203258[/C][C]0.998984[/C][/ROW]
[ROW][C]54[/C][C]0.000600293[/C][C]0.00120059[/C][C]0.9994[/C][/ROW]
[ROW][C]55[/C][C]0.0034592[/C][C]0.00691839[/C][C]0.996541[/C][/ROW]
[ROW][C]56[/C][C]0.0067993[/C][C]0.0135986[/C][C]0.993201[/C][/ROW]
[ROW][C]57[/C][C]0.0059405[/C][C]0.011881[/C][C]0.99406[/C][/ROW]
[ROW][C]58[/C][C]0.00833123[/C][C]0.0166625[/C][C]0.991669[/C][/ROW]
[ROW][C]59[/C][C]0.0141871[/C][C]0.0283741[/C][C]0.985813[/C][/ROW]
[ROW][C]60[/C][C]0.0299602[/C][C]0.0599205[/C][C]0.97004[/C][/ROW]
[ROW][C]61[/C][C]0.0242903[/C][C]0.0485807[/C][C]0.97571[/C][/ROW]
[ROW][C]62[/C][C]0.040121[/C][C]0.080242[/C][C]0.959879[/C][/ROW]
[ROW][C]63[/C][C]0.0408871[/C][C]0.0817742[/C][C]0.959113[/C][/ROW]
[ROW][C]64[/C][C]0.0429619[/C][C]0.0859237[/C][C]0.957038[/C][/ROW]
[ROW][C]65[/C][C]0.0450642[/C][C]0.0901285[/C][C]0.954936[/C][/ROW]
[ROW][C]66[/C][C]0.102271[/C][C]0.204542[/C][C]0.897729[/C][/ROW]
[ROW][C]67[/C][C]0.0859539[/C][C]0.171908[/C][C]0.914046[/C][/ROW]
[ROW][C]68[/C][C]0.0675959[/C][C]0.135192[/C][C]0.932404[/C][/ROW]
[ROW][C]69[/C][C]0.0541007[/C][C]0.108201[/C][C]0.945899[/C][/ROW]
[ROW][C]70[/C][C]0.0680911[/C][C]0.136182[/C][C]0.931909[/C][/ROW]
[ROW][C]71[/C][C]0.0541156[/C][C]0.108231[/C][C]0.945884[/C][/ROW]
[ROW][C]72[/C][C]0.0445511[/C][C]0.0891023[/C][C]0.955449[/C][/ROW]
[ROW][C]73[/C][C]0.0404244[/C][C]0.0808489[/C][C]0.959576[/C][/ROW]
[ROW][C]74[/C][C]0.185266[/C][C]0.370533[/C][C]0.814734[/C][/ROW]
[ROW][C]75[/C][C]0.242734[/C][C]0.485468[/C][C]0.757266[/C][/ROW]
[ROW][C]76[/C][C]0.212328[/C][C]0.424656[/C][C]0.787672[/C][/ROW]
[ROW][C]77[/C][C]0.200264[/C][C]0.400529[/C][C]0.799736[/C][/ROW]
[ROW][C]78[/C][C]0.174902[/C][C]0.349804[/C][C]0.825098[/C][/ROW]
[ROW][C]79[/C][C]0.174933[/C][C]0.349866[/C][C]0.825067[/C][/ROW]
[ROW][C]80[/C][C]0.182838[/C][C]0.365676[/C][C]0.817162[/C][/ROW]
[ROW][C]81[/C][C]0.21218[/C][C]0.424359[/C][C]0.78782[/C][/ROW]
[ROW][C]82[/C][C]0.195538[/C][C]0.391076[/C][C]0.804462[/C][/ROW]
[ROW][C]83[/C][C]0.223149[/C][C]0.446297[/C][C]0.776851[/C][/ROW]
[ROW][C]84[/C][C]0.272071[/C][C]0.544143[/C][C]0.727929[/C][/ROW]
[ROW][C]85[/C][C]0.334562[/C][C]0.669124[/C][C]0.665438[/C][/ROW]
[ROW][C]86[/C][C]0.296996[/C][C]0.593992[/C][C]0.703004[/C][/ROW]
[ROW][C]87[/C][C]0.302126[/C][C]0.604253[/C][C]0.697874[/C][/ROW]
[ROW][C]88[/C][C]0.265473[/C][C]0.530946[/C][C]0.734527[/C][/ROW]
[ROW][C]89[/C][C]0.311154[/C][C]0.622309[/C][C]0.688846[/C][/ROW]
[ROW][C]90[/C][C]0.289608[/C][C]0.579215[/C][C]0.710392[/C][/ROW]
[ROW][C]91[/C][C]0.254537[/C][C]0.509074[/C][C]0.745463[/C][/ROW]
[ROW][C]92[/C][C]0.26472[/C][C]0.529439[/C][C]0.73528[/C][/ROW]
[ROW][C]93[/C][C]0.261719[/C][C]0.523439[/C][C]0.738281[/C][/ROW]
[ROW][C]94[/C][C]0.260893[/C][C]0.521786[/C][C]0.739107[/C][/ROW]
[ROW][C]95[/C][C]0.224719[/C][C]0.449439[/C][C]0.775281[/C][/ROW]
[ROW][C]96[/C][C]0.2607[/C][C]0.521399[/C][C]0.7393[/C][/ROW]
[ROW][C]97[/C][C]0.280195[/C][C]0.560389[/C][C]0.719805[/C][/ROW]
[ROW][C]98[/C][C]0.249219[/C][C]0.498438[/C][C]0.750781[/C][/ROW]
[ROW][C]99[/C][C]0.217447[/C][C]0.434893[/C][C]0.782553[/C][/ROW]
[ROW][C]100[/C][C]0.211372[/C][C]0.422744[/C][C]0.788628[/C][/ROW]
[ROW][C]101[/C][C]0.205959[/C][C]0.411919[/C][C]0.794041[/C][/ROW]
[ROW][C]102[/C][C]0.201202[/C][C]0.402404[/C][C]0.798798[/C][/ROW]
[ROW][C]103[/C][C]0.257627[/C][C]0.515255[/C][C]0.742373[/C][/ROW]
[ROW][C]104[/C][C]0.274449[/C][C]0.548899[/C][C]0.725551[/C][/ROW]
[ROW][C]105[/C][C]0.271572[/C][C]0.543144[/C][C]0.728428[/C][/ROW]
[ROW][C]106[/C][C]0.235541[/C][C]0.471082[/C][C]0.764459[/C][/ROW]
[ROW][C]107[/C][C]0.211974[/C][C]0.423949[/C][C]0.788026[/C][/ROW]
[ROW][C]108[/C][C]0.180348[/C][C]0.360697[/C][C]0.819652[/C][/ROW]
[ROW][C]109[/C][C]0.179669[/C][C]0.359337[/C][C]0.820331[/C][/ROW]
[ROW][C]110[/C][C]0.158656[/C][C]0.317311[/C][C]0.841344[/C][/ROW]
[ROW][C]111[/C][C]0.141049[/C][C]0.282098[/C][C]0.858951[/C][/ROW]
[ROW][C]112[/C][C]0.126647[/C][C]0.253295[/C][C]0.873353[/C][/ROW]
[ROW][C]113[/C][C]0.132518[/C][C]0.265036[/C][C]0.867482[/C][/ROW]
[ROW][C]114[/C][C]0.15426[/C][C]0.30852[/C][C]0.84574[/C][/ROW]
[ROW][C]115[/C][C]0.12879[/C][C]0.25758[/C][C]0.87121[/C][/ROW]
[ROW][C]116[/C][C]0.111688[/C][C]0.223376[/C][C]0.888312[/C][/ROW]
[ROW][C]117[/C][C]0.0996145[/C][C]0.199229[/C][C]0.900386[/C][/ROW]
[ROW][C]118[/C][C]0.0848224[/C][C]0.169645[/C][C]0.915178[/C][/ROW]
[ROW][C]119[/C][C]0.0837324[/C][C]0.167465[/C][C]0.916268[/C][/ROW]
[ROW][C]120[/C][C]0.129396[/C][C]0.258792[/C][C]0.870604[/C][/ROW]
[ROW][C]121[/C][C]0.161749[/C][C]0.323497[/C][C]0.838251[/C][/ROW]
[ROW][C]122[/C][C]0.200475[/C][C]0.400949[/C][C]0.799525[/C][/ROW]
[ROW][C]123[/C][C]0.176988[/C][C]0.353977[/C][C]0.823012[/C][/ROW]
[ROW][C]124[/C][C]0.163074[/C][C]0.326149[/C][C]0.836926[/C][/ROW]
[ROW][C]125[/C][C]0.140338[/C][C]0.280675[/C][C]0.859662[/C][/ROW]
[ROW][C]126[/C][C]0.13998[/C][C]0.27996[/C][C]0.86002[/C][/ROW]
[ROW][C]127[/C][C]0.1522[/C][C]0.304401[/C][C]0.8478[/C][/ROW]
[ROW][C]128[/C][C]0.315249[/C][C]0.630499[/C][C]0.684751[/C][/ROW]
[ROW][C]129[/C][C]0.301585[/C][C]0.603169[/C][C]0.698415[/C][/ROW]
[ROW][C]130[/C][C]0.293118[/C][C]0.586236[/C][C]0.706882[/C][/ROW]
[ROW][C]131[/C][C]0.274494[/C][C]0.548989[/C][C]0.725506[/C][/ROW]
[ROW][C]132[/C][C]0.284166[/C][C]0.568333[/C][C]0.715834[/C][/ROW]
[ROW][C]133[/C][C]0.291484[/C][C]0.582968[/C][C]0.708516[/C][/ROW]
[ROW][C]134[/C][C]0.275283[/C][C]0.550565[/C][C]0.724717[/C][/ROW]
[ROW][C]135[/C][C]0.433788[/C][C]0.867575[/C][C]0.566212[/C][/ROW]
[ROW][C]136[/C][C]0.504857[/C][C]0.990286[/C][C]0.495143[/C][/ROW]
[ROW][C]137[/C][C]0.463363[/C][C]0.926726[/C][C]0.536637[/C][/ROW]
[ROW][C]138[/C][C]0.516152[/C][C]0.967696[/C][C]0.483848[/C][/ROW]
[ROW][C]139[/C][C]0.552147[/C][C]0.895706[/C][C]0.447853[/C][/ROW]
[ROW][C]140[/C][C]0.751059[/C][C]0.497882[/C][C]0.248941[/C][/ROW]
[ROW][C]141[/C][C]0.715116[/C][C]0.569768[/C][C]0.284884[/C][/ROW]
[ROW][C]142[/C][C]0.69147[/C][C]0.617059[/C][C]0.30853[/C][/ROW]
[ROW][C]143[/C][C]0.697352[/C][C]0.605296[/C][C]0.302648[/C][/ROW]
[ROW][C]144[/C][C]0.714591[/C][C]0.570817[/C][C]0.285409[/C][/ROW]
[ROW][C]145[/C][C]0.76122[/C][C]0.47756[/C][C]0.23878[/C][/ROW]
[ROW][C]146[/C][C]0.764517[/C][C]0.470966[/C][C]0.235483[/C][/ROW]
[ROW][C]147[/C][C]0.751914[/C][C]0.496172[/C][C]0.248086[/C][/ROW]
[ROW][C]148[/C][C]0.736829[/C][C]0.526342[/C][C]0.263171[/C][/ROW]
[ROW][C]149[/C][C]0.769127[/C][C]0.461747[/C][C]0.230873[/C][/ROW]
[ROW][C]150[/C][C]0.722505[/C][C]0.554991[/C][C]0.277495[/C][/ROW]
[ROW][C]151[/C][C]0.754018[/C][C]0.491964[/C][C]0.245982[/C][/ROW]
[ROW][C]152[/C][C]0.72445[/C][C]0.5511[/C][C]0.27555[/C][/ROW]
[ROW][C]153[/C][C]0.718008[/C][C]0.563985[/C][C]0.281992[/C][/ROW]
[ROW][C]154[/C][C]0.705618[/C][C]0.588764[/C][C]0.294382[/C][/ROW]
[ROW][C]155[/C][C]0.72994[/C][C]0.54012[/C][C]0.27006[/C][/ROW]
[ROW][C]156[/C][C]0.840202[/C][C]0.319596[/C][C]0.159798[/C][/ROW]
[ROW][C]157[/C][C]0.804908[/C][C]0.390184[/C][C]0.195092[/C][/ROW]
[ROW][C]158[/C][C]0.757703[/C][C]0.484594[/C][C]0.242297[/C][/ROW]
[ROW][C]159[/C][C]0.730202[/C][C]0.539596[/C][C]0.269798[/C][/ROW]
[ROW][C]160[/C][C]0.665855[/C][C]0.668289[/C][C]0.334145[/C][/ROW]
[ROW][C]161[/C][C]0.587668[/C][C]0.824663[/C][C]0.412332[/C][/ROW]
[ROW][C]162[/C][C]0.780977[/C][C]0.438045[/C][C]0.219023[/C][/ROW]
[ROW][C]163[/C][C]0.710017[/C][C]0.579966[/C][C]0.289983[/C][/ROW]
[ROW][C]164[/C][C]0.654547[/C][C]0.690906[/C][C]0.345453[/C][/ROW]
[ROW][C]165[/C][C]0.653573[/C][C]0.692854[/C][C]0.346427[/C][/ROW]
[ROW][C]166[/C][C]0.849823[/C][C]0.300354[/C][C]0.150177[/C][/ROW]
[ROW][C]167[/C][C]0.76249[/C][C]0.47502[/C][C]0.23751[/C][/ROW]
[ROW][C]168[/C][C]0.72288[/C][C]0.55424[/C][C]0.27712[/C][/ROW]
[ROW][C]169[/C][C]0.710453[/C][C]0.579095[/C][C]0.289547[/C][/ROW]
[ROW][C]170[/C][C]0.759474[/C][C]0.481052[/C][C]0.240526[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=231481&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=231481&T=5

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


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

Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
250.1826280.3652560.817372
260.08711640.1742330.912884
270.03895560.07791110.961044
280.04024470.08048940.959755
290.01751880.03503760.982481
300.008486020.0169720.991514
310.003351960.006703910.996648
320.001501730.003003460.998498
330.001019140.002038270.998981
340.0006937780.001387560.999306
350.0002932590.0005865180.999707
360.0001173650.0002347310.999883
376.54923e-050.0001309850.999935
382.438e-054.876e-050.999976
390.000103550.0002070990.999896
400.0001491030.0002982050.999851
410.0001053420.0002106840.999895
424.92456e-059.84912e-050.999951
436.09299e-050.000121860.999939
444.77789e-059.55577e-050.999952
458.52043e-050.0001704090.999915
469.50019e-050.0001900040.999905
479.86436e-050.0001972870.999901
480.006653520.0133070.993346
490.004549920.009099830.99545
500.003462510.006925020.996537
510.00210890.00421780.997891
520.001567930.003135860.998432
530.001016290.002032580.998984
540.0006002930.001200590.9994
550.00345920.006918390.996541
560.00679930.01359860.993201
570.00594050.0118810.99406
580.008331230.01666250.991669
590.01418710.02837410.985813
600.02996020.05992050.97004
610.02429030.04858070.97571
620.0401210.0802420.959879
630.04088710.08177420.959113
640.04296190.08592370.957038
650.04506420.09012850.954936
660.1022710.2045420.897729
670.08595390.1719080.914046
680.06759590.1351920.932404
690.05410070.1082010.945899
700.06809110.1361820.931909
710.05411560.1082310.945884
720.04455110.08910230.955449
730.04042440.08084890.959576
740.1852660.3705330.814734
750.2427340.4854680.757266
760.2123280.4246560.787672
770.2002640.4005290.799736
780.1749020.3498040.825098
790.1749330.3498660.825067
800.1828380.3656760.817162
810.212180.4243590.78782
820.1955380.3910760.804462
830.2231490.4462970.776851
840.2720710.5441430.727929
850.3345620.6691240.665438
860.2969960.5939920.703004
870.3021260.6042530.697874
880.2654730.5309460.734527
890.3111540.6223090.688846
900.2896080.5792150.710392
910.2545370.5090740.745463
920.264720.5294390.73528
930.2617190.5234390.738281
940.2608930.5217860.739107
950.2247190.4494390.775281
960.26070.5213990.7393
970.2801950.5603890.719805
980.2492190.4984380.750781
990.2174470.4348930.782553
1000.2113720.4227440.788628
1010.2059590.4119190.794041
1020.2012020.4024040.798798
1030.2576270.5152550.742373
1040.2744490.5488990.725551
1050.2715720.5431440.728428
1060.2355410.4710820.764459
1070.2119740.4239490.788026
1080.1803480.3606970.819652
1090.1796690.3593370.820331
1100.1586560.3173110.841344
1110.1410490.2820980.858951
1120.1266470.2532950.873353
1130.1325180.2650360.867482
1140.154260.308520.84574
1150.128790.257580.87121
1160.1116880.2233760.888312
1170.09961450.1992290.900386
1180.08482240.1696450.915178
1190.08373240.1674650.916268
1200.1293960.2587920.870604
1210.1617490.3234970.838251
1220.2004750.4009490.799525
1230.1769880.3539770.823012
1240.1630740.3261490.836926
1250.1403380.2806750.859662
1260.139980.279960.86002
1270.15220.3044010.8478
1280.3152490.6304990.684751
1290.3015850.6031690.698415
1300.2931180.5862360.706882
1310.2744940.5489890.725506
1320.2841660.5683330.715834
1330.2914840.5829680.708516
1340.2752830.5505650.724717
1350.4337880.8675750.566212
1360.5048570.9902860.495143
1370.4633630.9267260.536637
1380.5161520.9676960.483848
1390.5521470.8957060.447853
1400.7510590.4978820.248941
1410.7151160.5697680.284884
1420.691470.6170590.30853
1430.6973520.6052960.302648
1440.7145910.5708170.285409
1450.761220.477560.23878
1460.7645170.4709660.235483
1470.7519140.4961720.248086
1480.7368290.5263420.263171
1490.7691270.4617470.230873
1500.7225050.5549910.277495
1510.7540180.4919640.245982
1520.724450.55110.27555
1530.7180080.5639850.281992
1540.7056180.5887640.294382
1550.729940.540120.27006
1560.8402020.3195960.159798
1570.8049080.3901840.195092
1580.7577030.4845940.242297
1590.7302020.5395960.269798
1600.6658550.6682890.334145
1610.5876680.8246630.412332
1620.7809770.4380450.219023
1630.7100170.5799660.289983
1640.6545470.6909060.345453
1650.6535730.6928540.346427
1660.8498230.3003540.150177
1670.762490.475020.23751
1680.722880.554240.27712
1690.7104530.5790950.289547
1700.7594740.4810520.240526






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level240.164384NOK
5% type I error level320.219178NOK
10% type I error level410.280822NOK

\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 & 24 & 0.164384 & NOK \tabularnewline
5% type I error level & 32 & 0.219178 & NOK \tabularnewline
10% type I error level & 41 & 0.280822 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=231481&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]24[/C][C]0.164384[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]32[/C][C]0.219178[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]41[/C][C]0.280822[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=231481&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=231481&T=6

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

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level240.164384NOK
5% type I error level320.219178NOK
10% type I error level410.280822NOK


Figures (Output of Computation)

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Input Parameters & R Code

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')
}