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R Software Module

rwasp_multipleregression.wasp

Title produced by software

Multiple Regression

Date of computation

Wed, 11 Dec 2013 14:34:51 -0500

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Dec/11/t1386790552iarare2towi2367.htm/, Retrieved Tue, 23 Apr 2024 16:12:01 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=232148, Retrieved Tue, 23 Apr 2024 16:12:01 +0000

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User-defined keywords

Estimated Impact

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

-     [Multiple Regression] [] [2010-12-05 18:56:24] [b98453cac15ba1066b407e146608df68]
- R PD    [Multiple Regression] [WS10 (2)] [2013-12-11 19:34:51] [9254bdaed6fbf9720c8f2260171d2ee9] [Current]

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Dataseries X:

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Boxplots

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

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	41 seconds
R Server	'Gwilym Jenkins' @ jenkins.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 & 41 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232148&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]41 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=232148&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232148&T=0

As an alternative you can also use a QR Code:

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

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	41 seconds
R Server	'Gwilym Jenkins' @ jenkins.wessa.net

Multiple Linear Regression - Estimated Regression Equation
RPDE[t] = + 1.66722 -0.000383168`MDVP:Fo(Hz)`[t] + 2.67839e-05`MDVP:Fhi(Hz)`[t] -8.03503e-05`MDVP:Flo(Hz)`[t] -27.0653`MDVP:Jitter(%)`[t] + 1456.16`MDVP:Jitter(Abs)`[t] + 2472.9`MDVP:RAP`[t] -4.28053`MDVP:PPQ`[t] -816.388`Jitter:DDP`[t] + 2.18612`MDVP:Shimmer`[t] -0.396626`MDVP:Shimmer(dB)`[t] + 665.079`Shimmer:APQ3`[t] -6.00049`Shimmer:APQ5`[t] + 5.43605`MDVP:APQ`[t] -221.074`Shimmer:DDA`[t] -0.215306NHR[t] -0.0180173HNR[t] -0.0296119status[t] -0.494618DFA[t] + 0.027069spread1[t] + 0.401977spread2[t] -0.0931965D2[t] -0.0388331PPE[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
RPDE[t] =  +  1.66722 -0.000383168`MDVP:Fo(Hz)`[t] +  2.67839e-05`MDVP:Fhi(Hz)`[t] -8.03503e-05`MDVP:Flo(Hz)`[t] -27.0653`MDVP:Jitter(%)`[t] +  1456.16`MDVP:Jitter(Abs)`[t] +  2472.9`MDVP:RAP`[t] -4.28053`MDVP:PPQ`[t] -816.388`Jitter:DDP`[t] +  2.18612`MDVP:Shimmer`[t] -0.396626`MDVP:Shimmer(dB)`[t] +  665.079`Shimmer:APQ3`[t] -6.00049`Shimmer:APQ5`[t] +  5.43605`MDVP:APQ`[t] -221.074`Shimmer:DDA`[t] -0.215306NHR[t] -0.0180173HNR[t] -0.0296119status[t] -0.494618DFA[t] +  0.027069spread1[t] +  0.401977spread2[t] -0.0931965D2[t] -0.0388331PPE[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232148&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]RPDE[t] =  +  1.66722 -0.000383168`MDVP:Fo(Hz)`[t] +  2.67839e-05`MDVP:Fhi(Hz)`[t] -8.03503e-05`MDVP:Flo(Hz)`[t] -27.0653`MDVP:Jitter(%)`[t] +  1456.16`MDVP:Jitter(Abs)`[t] +  2472.9`MDVP:RAP`[t] -4.28053`MDVP:PPQ`[t] -816.388`Jitter:DDP`[t] +  2.18612`MDVP:Shimmer`[t] -0.396626`MDVP:Shimmer(dB)`[t] +  665.079`Shimmer:APQ3`[t] -6.00049`Shimmer:APQ5`[t] +  5.43605`MDVP:APQ`[t] -221.074`Shimmer:DDA`[t] -0.215306NHR[t] -0.0180173HNR[t] -0.0296119status[t] -0.494618DFA[t] +  0.027069spread1[t] +  0.401977spread2[t] -0.0931965D2[t] -0.0388331PPE[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=232148&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232148&T=1

As an alternative you can also use a QR Code:

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

Multiple Linear Regression - Estimated Regression Equation
RPDE[t] = + 1.66722 -0.000383168`MDVP:Fo(Hz)`[t] + 2.67839e-05`MDVP:Fhi(Hz)`[t] -8.03503e-05`MDVP:Flo(Hz)`[t] -27.0653`MDVP:Jitter(%)`[t] + 1456.16`MDVP:Jitter(Abs)`[t] + 2472.9`MDVP:RAP`[t] -4.28053`MDVP:PPQ`[t] -816.388`Jitter:DDP`[t] + 2.18612`MDVP:Shimmer`[t] -0.396626`MDVP:Shimmer(dB)`[t] + 665.079`Shimmer:APQ3`[t] -6.00049`Shimmer:APQ5`[t] + 5.43605`MDVP:APQ`[t] -221.074`Shimmer:DDA`[t] -0.215306NHR[t] -0.0180173HNR[t] -0.0296119status[t] -0.494618DFA[t] + 0.027069spread1[t] + 0.401977spread2[t] -0.0931965D2[t] -0.0388331PPE[t] + e[t]

Multiple Linear Regression - Ordinary Least Squares
Variable	Parameter	S.D.	T-STATH0: parameter = 0	2-tail p-value	1-tail p-value
(Intercept)	1.66722	0.154426	10.8	4.48739e-21	2.24369e-21
`MDVP:Fo(Hz)`	-0.000383168	0.000258209	-1.484	0.139653	0.0698265
`MDVP:Fhi(Hz)`	2.67839e-05	5.48353e-05	0.4884	0.625859	0.312929
`MDVP:Flo(Hz)`	-8.03503e-05	0.000138391	-0.5806	0.562269	0.281134
`MDVP:Jitter(%)`	-27.0653	11.4977	-2.354	0.019703	0.00985149
`MDVP:Jitter(Abs)`	1456.16	783.65	1.858	0.0648538	0.0324269
`MDVP:RAP`	2472.9	1583.19	1.562	0.120133	0.0600666
`MDVP:PPQ`	-4.28053	15.1042	-0.2834	0.777211	0.388606
`Jitter:DDP`	-816.388	527.959	-1.546	0.123868	0.0619341
`MDVP:Shimmer`	2.18612	5.86579	0.3727	0.709838	0.354919
`MDVP:Shimmer(dB)`	-0.396626	0.202796	-1.956	0.0521099	0.0260549
`Shimmer:APQ3`	665.079	1532.1	0.4341	0.664762	0.332381
`Shimmer:APQ5`	-6.00049	3.42473	-1.752	0.0815375	0.0407687
`MDVP:APQ`	5.43605	1.81443	2.996	0.00313974	0.00156987
`Shimmer:DDA`	-221.074	510.569	-0.433	0.665561	0.33278
NHR	-0.215306	0.339586	-0.634	0.526906	0.263453
HNR	-0.0180173	0.00203947	-8.834	1.14017e-15	5.70083e-16
status	-0.0296119	0.01283	-2.308	0.022189	0.0110945
DFA	-0.494618	0.120651	-4.1	6.37076e-05	3.18538e-05
spread1	0.027069	0.0166807	1.623	0.10647	0.053235
spread2	0.401977	0.0774719	5.189	5.91254e-07	2.95627e-07
D2	-0.0931965	0.0182051	-5.119	8.14854e-07	4.07427e-07
PPE	-0.0388331	0.236899	-0.1639	0.869985	0.434992

\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) & 1.66722 & 0.154426 & 10.8 & 4.48739e-21 & 2.24369e-21 \tabularnewline
`MDVP:Fo(Hz)` & -0.000383168 & 0.000258209 & -1.484 & 0.139653 & 0.0698265 \tabularnewline
`MDVP:Fhi(Hz)` & 2.67839e-05 & 5.48353e-05 & 0.4884 & 0.625859 & 0.312929 \tabularnewline
`MDVP:Flo(Hz)` & -8.03503e-05 & 0.000138391 & -0.5806 & 0.562269 & 0.281134 \tabularnewline
`MDVP:Jitter(%)` & -27.0653 & 11.4977 & -2.354 & 0.019703 & 0.00985149 \tabularnewline
`MDVP:Jitter(Abs)` & 1456.16 & 783.65 & 1.858 & 0.0648538 & 0.0324269 \tabularnewline
`MDVP:RAP` & 2472.9 & 1583.19 & 1.562 & 0.120133 & 0.0600666 \tabularnewline
`MDVP:PPQ` & -4.28053 & 15.1042 & -0.2834 & 0.777211 & 0.388606 \tabularnewline
`Jitter:DDP` & -816.388 & 527.959 & -1.546 & 0.123868 & 0.0619341 \tabularnewline
`MDVP:Shimmer` & 2.18612 & 5.86579 & 0.3727 & 0.709838 & 0.354919 \tabularnewline
`MDVP:Shimmer(dB)` & -0.396626 & 0.202796 & -1.956 & 0.0521099 & 0.0260549 \tabularnewline
`Shimmer:APQ3` & 665.079 & 1532.1 & 0.4341 & 0.664762 & 0.332381 \tabularnewline
`Shimmer:APQ5` & -6.00049 & 3.42473 & -1.752 & 0.0815375 & 0.0407687 \tabularnewline
`MDVP:APQ` & 5.43605 & 1.81443 & 2.996 & 0.00313974 & 0.00156987 \tabularnewline
`Shimmer:DDA` & -221.074 & 510.569 & -0.433 & 0.665561 & 0.33278 \tabularnewline
NHR & -0.215306 & 0.339586 & -0.634 & 0.526906 & 0.263453 \tabularnewline
HNR & -0.0180173 & 0.00203947 & -8.834 & 1.14017e-15 & 5.70083e-16 \tabularnewline
status & -0.0296119 & 0.01283 & -2.308 & 0.022189 & 0.0110945 \tabularnewline
DFA & -0.494618 & 0.120651 & -4.1 & 6.37076e-05 & 3.18538e-05 \tabularnewline
spread1 & 0.027069 & 0.0166807 & 1.623 & 0.10647 & 0.053235 \tabularnewline
spread2 & 0.401977 & 0.0774719 & 5.189 & 5.91254e-07 & 2.95627e-07 \tabularnewline
D2 & -0.0931965 & 0.0182051 & -5.119 & 8.14854e-07 & 4.07427e-07 \tabularnewline
PPE & -0.0388331 & 0.236899 & -0.1639 & 0.869985 & 0.434992 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232148&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]1.66722[/C][C]0.154426[/C][C]10.8[/C][C]4.48739e-21[/C][C]2.24369e-21[/C][/ROW]
[ROW][C]`MDVP:Fo(Hz)`[/C][C]-0.000383168[/C][C]0.000258209[/C][C]-1.484[/C][C]0.139653[/C][C]0.0698265[/C][/ROW]
[ROW][C]`MDVP:Fhi(Hz)`[/C][C]2.67839e-05[/C][C]5.48353e-05[/C][C]0.4884[/C][C]0.625859[/C][C]0.312929[/C][/ROW]
[ROW][C]`MDVP:Flo(Hz)`[/C][C]-8.03503e-05[/C][C]0.000138391[/C][C]-0.5806[/C][C]0.562269[/C][C]0.281134[/C][/ROW]
[ROW][C]`MDVP:Jitter(%)`[/C][C]-27.0653[/C][C]11.4977[/C][C]-2.354[/C][C]0.019703[/C][C]0.00985149[/C][/ROW]
[ROW][C]`MDVP:Jitter(Abs)`[/C][C]1456.16[/C][C]783.65[/C][C]1.858[/C][C]0.0648538[/C][C]0.0324269[/C][/ROW]
[ROW][C]`MDVP:RAP`[/C][C]2472.9[/C][C]1583.19[/C][C]1.562[/C][C]0.120133[/C][C]0.0600666[/C][/ROW]
[ROW][C]`MDVP:PPQ`[/C][C]-4.28053[/C][C]15.1042[/C][C]-0.2834[/C][C]0.777211[/C][C]0.388606[/C][/ROW]
[ROW][C]`Jitter:DDP`[/C][C]-816.388[/C][C]527.959[/C][C]-1.546[/C][C]0.123868[/C][C]0.0619341[/C][/ROW]
[ROW][C]`MDVP:Shimmer`[/C][C]2.18612[/C][C]5.86579[/C][C]0.3727[/C][C]0.709838[/C][C]0.354919[/C][/ROW]
[ROW][C]`MDVP:Shimmer(dB)`[/C][C]-0.396626[/C][C]0.202796[/C][C]-1.956[/C][C]0.0521099[/C][C]0.0260549[/C][/ROW]
[ROW][C]`Shimmer:APQ3`[/C][C]665.079[/C][C]1532.1[/C][C]0.4341[/C][C]0.664762[/C][C]0.332381[/C][/ROW]
[ROW][C]`Shimmer:APQ5`[/C][C]-6.00049[/C][C]3.42473[/C][C]-1.752[/C][C]0.0815375[/C][C]0.0407687[/C][/ROW]
[ROW][C]`MDVP:APQ`[/C][C]5.43605[/C][C]1.81443[/C][C]2.996[/C][C]0.00313974[/C][C]0.00156987[/C][/ROW]
[ROW][C]`Shimmer:DDA`[/C][C]-221.074[/C][C]510.569[/C][C]-0.433[/C][C]0.665561[/C][C]0.33278[/C][/ROW]
[ROW][C]NHR[/C][C]-0.215306[/C][C]0.339586[/C][C]-0.634[/C][C]0.526906[/C][C]0.263453[/C][/ROW]
[ROW][C]HNR[/C][C]-0.0180173[/C][C]0.00203947[/C][C]-8.834[/C][C]1.14017e-15[/C][C]5.70083e-16[/C][/ROW]
[ROW][C]status[/C][C]-0.0296119[/C][C]0.01283[/C][C]-2.308[/C][C]0.022189[/C][C]0.0110945[/C][/ROW]
[ROW][C]DFA[/C][C]-0.494618[/C][C]0.120651[/C][C]-4.1[/C][C]6.37076e-05[/C][C]3.18538e-05[/C][/ROW]
[ROW][C]spread1[/C][C]0.027069[/C][C]0.0166807[/C][C]1.623[/C][C]0.10647[/C][C]0.053235[/C][/ROW]
[ROW][C]spread2[/C][C]0.401977[/C][C]0.0774719[/C][C]5.189[/C][C]5.91254e-07[/C][C]2.95627e-07[/C][/ROW]
[ROW][C]D2[/C][C]-0.0931965[/C][C]0.0182051[/C][C]-5.119[/C][C]8.14854e-07[/C][C]4.07427e-07[/C][/ROW]
[ROW][C]PPE[/C][C]-0.0388331[/C][C]0.236899[/C][C]-0.1639[/C][C]0.869985[/C][C]0.434992[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=232148&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232148&T=2

As an alternative you can also use a QR Code:

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

Multiple Linear Regression - Ordinary Least Squares
Variable	Parameter	S.D.	T-STATH0: parameter = 0	2-tail p-value	1-tail p-value
(Intercept)	1.66722	0.154426	10.8	4.48739e-21	2.24369e-21
`MDVP:Fo(Hz)`	-0.000383168	0.000258209	-1.484	0.139653	0.0698265
`MDVP:Fhi(Hz)`	2.67839e-05	5.48353e-05	0.4884	0.625859	0.312929
`MDVP:Flo(Hz)`	-8.03503e-05	0.000138391	-0.5806	0.562269	0.281134
`MDVP:Jitter(%)`	-27.0653	11.4977	-2.354	0.019703	0.00985149
`MDVP:Jitter(Abs)`	1456.16	783.65	1.858	0.0648538	0.0324269
`MDVP:RAP`	2472.9	1583.19	1.562	0.120133	0.0600666
`MDVP:PPQ`	-4.28053	15.1042	-0.2834	0.777211	0.388606
`Jitter:DDP`	-816.388	527.959	-1.546	0.123868	0.0619341
`MDVP:Shimmer`	2.18612	5.86579	0.3727	0.709838	0.354919
`MDVP:Shimmer(dB)`	-0.396626	0.202796	-1.956	0.0521099	0.0260549
`Shimmer:APQ3`	665.079	1532.1	0.4341	0.664762	0.332381
`Shimmer:APQ5`	-6.00049	3.42473	-1.752	0.0815375	0.0407687
`MDVP:APQ`	5.43605	1.81443	2.996	0.00313974	0.00156987
`Shimmer:DDA`	-221.074	510.569	-0.433	0.665561	0.33278
NHR	-0.215306	0.339586	-0.634	0.526906	0.263453
HNR	-0.0180173	0.00203947	-8.834	1.14017e-15	5.70083e-16
status	-0.0296119	0.01283	-2.308	0.022189	0.0110945
DFA	-0.494618	0.120651	-4.1	6.37076e-05	3.18538e-05
spread1	0.027069	0.0166807	1.623	0.10647	0.053235
spread2	0.401977	0.0774719	5.189	5.91254e-07	2.95627e-07
D2	-0.0931965	0.0182051	-5.119	8.14854e-07	4.07427e-07
PPE	-0.0388331	0.236899	-0.1639	0.869985	0.434992

Multiple Linear Regression - Regression Statistics
Multiple R	0.862773
R-squared	0.744377
Adjusted R-squared	0.711681
F-TEST (value)	22.7666
F-TEST (DF numerator)	22
F-TEST (DF denominator)	172
p-value	0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	0.0558118
Sum Squared Residuals	0.535774

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.862773 \tabularnewline
R-squared & 0.744377 \tabularnewline
Adjusted R-squared & 0.711681 \tabularnewline
F-TEST (value) & 22.7666 \tabularnewline
F-TEST (DF numerator) & 22 \tabularnewline
F-TEST (DF denominator) & 172 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 0.0558118 \tabularnewline
Sum Squared Residuals & 0.535774 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232148&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.862773[/C][/ROW]
[ROW][C]R-squared[/C][C]0.744377[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.711681[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]22.7666[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]22[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]172[/C][/ROW]
[ROW][C]p-value[/C][C]0[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]0.0558118[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]0.535774[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=232148&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232148&T=3

As an alternative you can also use a QR Code:

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

Multiple Linear Regression - Regression Statistics
Multiple R	0.862773
R-squared	0.744377
Adjusted R-squared	0.711681
F-TEST (value)	22.7666
F-TEST (DF numerator)	22
F-TEST (DF denominator)	172
p-value	0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	0.0558118
Sum Squared Residuals	0.535774

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	InterpolationForecast	ResidualsPrediction Error
1	0.414783	0.459231	-0.0444485
2	0.458359	0.462071	-0.00371189
3	0.429895	0.452642	-0.0227467
4	0.434969	0.486817	-0.0518479
5	0.417356	0.43039	-0.0130336
6	0.415564	0.445607	-0.0300426
7	0.59604	0.513179	0.0828612
8	0.63742	0.44425	0.19317
9	0.615551	0.570894	0.0446573
10	0.547037	0.579903	-0.0328657
11	0.611137	0.613894	-0.00275661
12	0.58339	0.568283	0.0151068
13	0.4606	0.46052	8.03428e-05
14	0.430166	0.499967	-0.0698006
15	0.474791	0.487797	-0.0130056
16	0.565924	0.516787	0.0491375
17	0.56738	0.571293	-0.00391271
18	0.631099	0.641604	-0.0105046
19	0.665318	0.627284	0.0380344
20	0.649554	0.657415	-0.00786125
21	0.660125	0.613865	0.0462604
22	0.629017	0.614113	0.0149035
23	0.61906	0.554264	0.0647961
24	0.537264	0.551505	-0.0142407
25	0.397937	0.41259	-0.0146534
26	0.522746	0.505621	0.0171249
27	0.418622	0.411762	0.00686033
28	0.358773	0.425965	-0.0671923
29	0.470478	0.4816	-0.0111221
30	0.427785	0.442924	-0.0151391
31	0.422229	0.405931	0.0162983
32	0.432439	0.291492	0.140947
33	0.465946	0.37386	0.0920859
34	0.368535	0.32939	0.0391452
35	0.340068	0.308045	0.0320229
36	0.344252	0.258238	0.0860141
37	0.360148	0.392476	-0.0323281
38	0.341435	0.360398	-0.0189631
39	0.403884	0.380662	0.0232217
40	0.396793	0.403317	-0.00652354
41	0.32648	0.347692	-0.0212121
42	0.306443	0.284993	0.0214496
43	0.305062	0.403947	-0.0988849
44	0.457702	0.475914	-0.0182124
45	0.438296	0.390966	0.0473302
46	0.431285	0.399423	0.031862
47	0.467489	0.416322	0.051167
48	0.610367	0.432953	0.177414
49	0.579597	0.537673	0.0419242
50	0.538688	0.49068	0.0480081
51	0.553134	0.504902	0.0482321
52	0.507504	0.474138	0.0333657
53	0.459766	0.465312	-0.00554585
54	0.420383	0.454247	-0.0338636
55	0.536009	0.52996	0.00604933
56	0.558586	0.535701	0.0228852
57	0.541781	0.529354	0.0124268
58	0.530529	0.488723	0.0418062
59	0.540049	0.511566	0.0284834
60	0.547975	0.502654	0.0453209
61	0.341788	0.339119	0.00266941
62	0.447979	0.357657	0.0903216
63	0.364867	0.350664	0.0142034
64	0.25657	0.289622	-0.0330523
65	0.27685	0.359351	-0.0825006
66	0.305429	0.36619	-0.0607608
67	0.460139	0.545843	-0.0857038
68	0.498133	0.547194	-0.0490612
69	0.513237	0.520429	-0.00719187
70	0.487407	0.502463	-0.0150557
71	0.489345	0.505396	-0.0160512
72	0.543299	0.551045	-0.00774573
73	0.495954	0.489264	0.00668985
74	0.509127	0.544153	-0.0350261
75	0.437031	0.438118	-0.00108703
76	0.463514	0.531119	-0.067605
77	0.489538	0.54551	-0.0559724
78	0.429484	0.49399	-0.0645057
79	0.644954	0.57887	0.0660845
80	0.594387	0.554047	0.0403397
81	0.544805	0.524598	0.0202068
82	0.576084	0.578049	-0.00196453
83	0.55461	0.510671	0.0439392
84	0.576644	0.45749	0.119154
85	0.556494	0.57165	-0.0151558
86	0.583574	0.549072	0.0345021
87	0.598714	0.605283	-0.00656894
88	0.602874	0.54587	0.0570045
89	0.599371	0.547783	0.051588
90	0.590951	0.572972	0.0179787
91	0.65341	0.608133	0.0452767
92	0.501037	0.484117	0.0169203
93	0.454444	0.480615	-0.0261715
94	0.447456	0.470963	-0.023507
95	0.50238	0.511678	-0.00929802
96	0.447285	0.500995	-0.0537097
97	0.366329	0.466437	-0.100108
98	0.629574	0.653711	-0.0241366
99	0.57101	0.641783	-0.0707726
100	0.638545	0.691352	-0.052807
101	0.671299	0.655607	0.0156919
102	0.639808	0.669196	-0.0293881
103	0.596362	0.617449	-0.0210866
104	0.296888	0.382317	-0.0854293
105	0.263654	0.366951	-0.103297
106	0.365488	0.402868	-0.0373797
107	0.334171	0.367883	-0.0337122
108	0.393563	0.412288	-0.018725
109	0.311369	0.359161	-0.047792
110	0.497554	0.432612	0.0649419
111	0.436084	0.454987	-0.0189029
112	0.338097	0.398161	-0.0600642
113	0.498877	0.455853	0.0430242
114	0.441097	0.422196	0.0189007
115	0.331508	0.380392	-0.0488844
116	0.407701	0.457607	-0.0499064
117	0.450798	0.4425	0.00829775
118	0.486738	0.47806	0.00867789
119	0.470422	0.496161	-0.0257395
120	0.462516	0.501081	-0.0385654
121	0.487756	0.449879	0.0378773
122	0.400088	0.441653	-0.041565
123	0.538016	0.550266	-0.0122503
124	0.589956	0.515716	0.0742404
125	0.618663	0.519637	0.0990262
126	0.637518	0.550517	0.0870009
127	0.623209	0.560265	0.062944
128	0.585169	0.529801	0.0553677
129	0.457541	0.40025	0.057291
130	0.491345	0.44935	0.0419947
131	0.46716	0.444716	0.0224435
132	0.468621	0.429464	0.0391568
133	0.470972	0.500603	-0.0296312
134	0.482296	0.45734	0.0249565
135	0.637814	0.640525	-0.00271133
136	0.653427	0.628115	0.0253117
137	0.6479	0.6647	-0.0168004
138	0.625362	0.629934	-0.00457156
139	0.640945	0.630713	0.0102317
140	0.624811	0.610406	0.0144049
141	0.677131	0.598234	0.0788968
142	0.606344	0.577421	0.0289232
143	0.606273	0.595089	0.0111843
144	0.536102	0.556838	-0.0207362
145	0.49748	0.507153	-0.00967303
146	0.566849	0.596119	-0.0292701
147	0.56161	0.625173	-0.0635632
148	0.478024	0.563497	-0.0854731
149	0.55287	0.559157	-0.0062869
150	0.427627	0.42731	0.000316648
151	0.507826	0.492019	0.0158074
152	0.625866	0.6315	-0.00563403
153	0.584164	0.474632	0.109532
154	0.566867	0.626602	-0.0597346
155	0.65168	0.577559	0.0741207
156	0.6283	0.59572	0.0325795
157	0.611679	0.512801	0.0988783
158	0.630547	0.616478	0.0140688
159	0.635015	0.566537	0.0684781
160	0.654945	0.643424	0.0115212
161	0.653139	0.671885	-0.0187465
162	0.577802	0.599198	-0.0213963
163	0.685151	0.612899	0.0722524
164	0.557045	0.605603	-0.0485579
165	0.671378	0.727636	-0.0562582
166	0.469928	0.464527	0.00540098
167	0.384868	0.475115	-0.0902469
168	0.440988	0.492116	-0.051128
169	0.372222	0.454159	-0.0819367
170	0.371837	0.409068	-0.0372308
171	0.522812	0.475097	0.0477148
172	0.413295	0.450194	-0.0368989
173	0.36909	0.474264	-0.105174
174	0.380253	0.469323	-0.0890703
175	0.387482	0.516456	-0.128974
176	0.405991	0.480993	-0.0750023
177	0.361232	0.437711	-0.0764794
178	0.39661	0.407369	-0.010759
179	0.402591	0.420916	-0.0183255
180	0.398499	0.416332	-0.0178334
181	0.352396	0.440247	-0.0878511
182	0.408598	0.451202	-0.0426044
183	0.329577	0.426014	-0.0964369
184	0.603515	0.59609	0.00742548
185	0.663842	0.624726	0.039116
186	0.598515	0.559931	0.0385839
187	0.566424	0.534162	0.0322621
188	0.528485	0.507362	0.0211231
189	0.555303	0.523126	0.0321768
190	0.508479	0.475658	0.0328211
191	0.448439	0.469333	-0.0208935
192	0.431674	0.455206	-0.0235318
193	0.407567	0.401657	0.00590998
194	0.451221	0.540267	-0.0890464
195	0.462803	0.479914	-0.0171111

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 0.414783 & 0.459231 & -0.0444485 \tabularnewline
2 & 0.458359 & 0.462071 & -0.00371189 \tabularnewline
3 & 0.429895 & 0.452642 & -0.0227467 \tabularnewline
4 & 0.434969 & 0.486817 & -0.0518479 \tabularnewline
5 & 0.417356 & 0.43039 & -0.0130336 \tabularnewline
6 & 0.415564 & 0.445607 & -0.0300426 \tabularnewline
7 & 0.59604 & 0.513179 & 0.0828612 \tabularnewline
8 & 0.63742 & 0.44425 & 0.19317 \tabularnewline
9 & 0.615551 & 0.570894 & 0.0446573 \tabularnewline
10 & 0.547037 & 0.579903 & -0.0328657 \tabularnewline
11 & 0.611137 & 0.613894 & -0.00275661 \tabularnewline
12 & 0.58339 & 0.568283 & 0.0151068 \tabularnewline
13 & 0.4606 & 0.46052 & 8.03428e-05 \tabularnewline
14 & 0.430166 & 0.499967 & -0.0698006 \tabularnewline
15 & 0.474791 & 0.487797 & -0.0130056 \tabularnewline
16 & 0.565924 & 0.516787 & 0.0491375 \tabularnewline
17 & 0.56738 & 0.571293 & -0.00391271 \tabularnewline
18 & 0.631099 & 0.641604 & -0.0105046 \tabularnewline
19 & 0.665318 & 0.627284 & 0.0380344 \tabularnewline
20 & 0.649554 & 0.657415 & -0.00786125 \tabularnewline
21 & 0.660125 & 0.613865 & 0.0462604 \tabularnewline
22 & 0.629017 & 0.614113 & 0.0149035 \tabularnewline
23 & 0.61906 & 0.554264 & 0.0647961 \tabularnewline
24 & 0.537264 & 0.551505 & -0.0142407 \tabularnewline
25 & 0.397937 & 0.41259 & -0.0146534 \tabularnewline
26 & 0.522746 & 0.505621 & 0.0171249 \tabularnewline
27 & 0.418622 & 0.411762 & 0.00686033 \tabularnewline
28 & 0.358773 & 0.425965 & -0.0671923 \tabularnewline
29 & 0.470478 & 0.4816 & -0.0111221 \tabularnewline
30 & 0.427785 & 0.442924 & -0.0151391 \tabularnewline
31 & 0.422229 & 0.405931 & 0.0162983 \tabularnewline
32 & 0.432439 & 0.291492 & 0.140947 \tabularnewline
33 & 0.465946 & 0.37386 & 0.0920859 \tabularnewline
34 & 0.368535 & 0.32939 & 0.0391452 \tabularnewline
35 & 0.340068 & 0.308045 & 0.0320229 \tabularnewline
36 & 0.344252 & 0.258238 & 0.0860141 \tabularnewline
37 & 0.360148 & 0.392476 & -0.0323281 \tabularnewline
38 & 0.341435 & 0.360398 & -0.0189631 \tabularnewline
39 & 0.403884 & 0.380662 & 0.0232217 \tabularnewline
40 & 0.396793 & 0.403317 & -0.00652354 \tabularnewline
41 & 0.32648 & 0.347692 & -0.0212121 \tabularnewline
42 & 0.306443 & 0.284993 & 0.0214496 \tabularnewline
43 & 0.305062 & 0.403947 & -0.0988849 \tabularnewline
44 & 0.457702 & 0.475914 & -0.0182124 \tabularnewline
45 & 0.438296 & 0.390966 & 0.0473302 \tabularnewline
46 & 0.431285 & 0.399423 & 0.031862 \tabularnewline
47 & 0.467489 & 0.416322 & 0.051167 \tabularnewline
48 & 0.610367 & 0.432953 & 0.177414 \tabularnewline
49 & 0.579597 & 0.537673 & 0.0419242 \tabularnewline
50 & 0.538688 & 0.49068 & 0.0480081 \tabularnewline
51 & 0.553134 & 0.504902 & 0.0482321 \tabularnewline
52 & 0.507504 & 0.474138 & 0.0333657 \tabularnewline
53 & 0.459766 & 0.465312 & -0.00554585 \tabularnewline
54 & 0.420383 & 0.454247 & -0.0338636 \tabularnewline
55 & 0.536009 & 0.52996 & 0.00604933 \tabularnewline
56 & 0.558586 & 0.535701 & 0.0228852 \tabularnewline
57 & 0.541781 & 0.529354 & 0.0124268 \tabularnewline
58 & 0.530529 & 0.488723 & 0.0418062 \tabularnewline
59 & 0.540049 & 0.511566 & 0.0284834 \tabularnewline
60 & 0.547975 & 0.502654 & 0.0453209 \tabularnewline
61 & 0.341788 & 0.339119 & 0.00266941 \tabularnewline
62 & 0.447979 & 0.357657 & 0.0903216 \tabularnewline
63 & 0.364867 & 0.350664 & 0.0142034 \tabularnewline
64 & 0.25657 & 0.289622 & -0.0330523 \tabularnewline
65 & 0.27685 & 0.359351 & -0.0825006 \tabularnewline
66 & 0.305429 & 0.36619 & -0.0607608 \tabularnewline
67 & 0.460139 & 0.545843 & -0.0857038 \tabularnewline
68 & 0.498133 & 0.547194 & -0.0490612 \tabularnewline
69 & 0.513237 & 0.520429 & -0.00719187 \tabularnewline
70 & 0.487407 & 0.502463 & -0.0150557 \tabularnewline
71 & 0.489345 & 0.505396 & -0.0160512 \tabularnewline
72 & 0.543299 & 0.551045 & -0.00774573 \tabularnewline
73 & 0.495954 & 0.489264 & 0.00668985 \tabularnewline
74 & 0.509127 & 0.544153 & -0.0350261 \tabularnewline
75 & 0.437031 & 0.438118 & -0.00108703 \tabularnewline
76 & 0.463514 & 0.531119 & -0.067605 \tabularnewline
77 & 0.489538 & 0.54551 & -0.0559724 \tabularnewline
78 & 0.429484 & 0.49399 & -0.0645057 \tabularnewline
79 & 0.644954 & 0.57887 & 0.0660845 \tabularnewline
80 & 0.594387 & 0.554047 & 0.0403397 \tabularnewline
81 & 0.544805 & 0.524598 & 0.0202068 \tabularnewline
82 & 0.576084 & 0.578049 & -0.00196453 \tabularnewline
83 & 0.55461 & 0.510671 & 0.0439392 \tabularnewline
84 & 0.576644 & 0.45749 & 0.119154 \tabularnewline
85 & 0.556494 & 0.57165 & -0.0151558 \tabularnewline
86 & 0.583574 & 0.549072 & 0.0345021 \tabularnewline
87 & 0.598714 & 0.605283 & -0.00656894 \tabularnewline
88 & 0.602874 & 0.54587 & 0.0570045 \tabularnewline
89 & 0.599371 & 0.547783 & 0.051588 \tabularnewline
90 & 0.590951 & 0.572972 & 0.0179787 \tabularnewline
91 & 0.65341 & 0.608133 & 0.0452767 \tabularnewline
92 & 0.501037 & 0.484117 & 0.0169203 \tabularnewline
93 & 0.454444 & 0.480615 & -0.0261715 \tabularnewline
94 & 0.447456 & 0.470963 & -0.023507 \tabularnewline
95 & 0.50238 & 0.511678 & -0.00929802 \tabularnewline
96 & 0.447285 & 0.500995 & -0.0537097 \tabularnewline
97 & 0.366329 & 0.466437 & -0.100108 \tabularnewline
98 & 0.629574 & 0.653711 & -0.0241366 \tabularnewline
99 & 0.57101 & 0.641783 & -0.0707726 \tabularnewline
100 & 0.638545 & 0.691352 & -0.052807 \tabularnewline
101 & 0.671299 & 0.655607 & 0.0156919 \tabularnewline
102 & 0.639808 & 0.669196 & -0.0293881 \tabularnewline
103 & 0.596362 & 0.617449 & -0.0210866 \tabularnewline
104 & 0.296888 & 0.382317 & -0.0854293 \tabularnewline
105 & 0.263654 & 0.366951 & -0.103297 \tabularnewline
106 & 0.365488 & 0.402868 & -0.0373797 \tabularnewline
107 & 0.334171 & 0.367883 & -0.0337122 \tabularnewline
108 & 0.393563 & 0.412288 & -0.018725 \tabularnewline
109 & 0.311369 & 0.359161 & -0.047792 \tabularnewline
110 & 0.497554 & 0.432612 & 0.0649419 \tabularnewline
111 & 0.436084 & 0.454987 & -0.0189029 \tabularnewline
112 & 0.338097 & 0.398161 & -0.0600642 \tabularnewline
113 & 0.498877 & 0.455853 & 0.0430242 \tabularnewline
114 & 0.441097 & 0.422196 & 0.0189007 \tabularnewline
115 & 0.331508 & 0.380392 & -0.0488844 \tabularnewline
116 & 0.407701 & 0.457607 & -0.0499064 \tabularnewline
117 & 0.450798 & 0.4425 & 0.00829775 \tabularnewline
118 & 0.486738 & 0.47806 & 0.00867789 \tabularnewline
119 & 0.470422 & 0.496161 & -0.0257395 \tabularnewline
120 & 0.462516 & 0.501081 & -0.0385654 \tabularnewline
121 & 0.487756 & 0.449879 & 0.0378773 \tabularnewline
122 & 0.400088 & 0.441653 & -0.041565 \tabularnewline
123 & 0.538016 & 0.550266 & -0.0122503 \tabularnewline
124 & 0.589956 & 0.515716 & 0.0742404 \tabularnewline
125 & 0.618663 & 0.519637 & 0.0990262 \tabularnewline
126 & 0.637518 & 0.550517 & 0.0870009 \tabularnewline
127 & 0.623209 & 0.560265 & 0.062944 \tabularnewline
128 & 0.585169 & 0.529801 & 0.0553677 \tabularnewline
129 & 0.457541 & 0.40025 & 0.057291 \tabularnewline
130 & 0.491345 & 0.44935 & 0.0419947 \tabularnewline
131 & 0.46716 & 0.444716 & 0.0224435 \tabularnewline
132 & 0.468621 & 0.429464 & 0.0391568 \tabularnewline
133 & 0.470972 & 0.500603 & -0.0296312 \tabularnewline
134 & 0.482296 & 0.45734 & 0.0249565 \tabularnewline
135 & 0.637814 & 0.640525 & -0.00271133 \tabularnewline
136 & 0.653427 & 0.628115 & 0.0253117 \tabularnewline
137 & 0.6479 & 0.6647 & -0.0168004 \tabularnewline
138 & 0.625362 & 0.629934 & -0.00457156 \tabularnewline
139 & 0.640945 & 0.630713 & 0.0102317 \tabularnewline
140 & 0.624811 & 0.610406 & 0.0144049 \tabularnewline
141 & 0.677131 & 0.598234 & 0.0788968 \tabularnewline
142 & 0.606344 & 0.577421 & 0.0289232 \tabularnewline
143 & 0.606273 & 0.595089 & 0.0111843 \tabularnewline
144 & 0.536102 & 0.556838 & -0.0207362 \tabularnewline
145 & 0.49748 & 0.507153 & -0.00967303 \tabularnewline
146 & 0.566849 & 0.596119 & -0.0292701 \tabularnewline
147 & 0.56161 & 0.625173 & -0.0635632 \tabularnewline
148 & 0.478024 & 0.563497 & -0.0854731 \tabularnewline
149 & 0.55287 & 0.559157 & -0.0062869 \tabularnewline
150 & 0.427627 & 0.42731 & 0.000316648 \tabularnewline
151 & 0.507826 & 0.492019 & 0.0158074 \tabularnewline
152 & 0.625866 & 0.6315 & -0.00563403 \tabularnewline
153 & 0.584164 & 0.474632 & 0.109532 \tabularnewline
154 & 0.566867 & 0.626602 & -0.0597346 \tabularnewline
155 & 0.65168 & 0.577559 & 0.0741207 \tabularnewline
156 & 0.6283 & 0.59572 & 0.0325795 \tabularnewline
157 & 0.611679 & 0.512801 & 0.0988783 \tabularnewline
158 & 0.630547 & 0.616478 & 0.0140688 \tabularnewline
159 & 0.635015 & 0.566537 & 0.0684781 \tabularnewline
160 & 0.654945 & 0.643424 & 0.0115212 \tabularnewline
161 & 0.653139 & 0.671885 & -0.0187465 \tabularnewline
162 & 0.577802 & 0.599198 & -0.0213963 \tabularnewline
163 & 0.685151 & 0.612899 & 0.0722524 \tabularnewline
164 & 0.557045 & 0.605603 & -0.0485579 \tabularnewline
165 & 0.671378 & 0.727636 & -0.0562582 \tabularnewline
166 & 0.469928 & 0.464527 & 0.00540098 \tabularnewline
167 & 0.384868 & 0.475115 & -0.0902469 \tabularnewline
168 & 0.440988 & 0.492116 & -0.051128 \tabularnewline
169 & 0.372222 & 0.454159 & -0.0819367 \tabularnewline
170 & 0.371837 & 0.409068 & -0.0372308 \tabularnewline
171 & 0.522812 & 0.475097 & 0.0477148 \tabularnewline
172 & 0.413295 & 0.450194 & -0.0368989 \tabularnewline
173 & 0.36909 & 0.474264 & -0.105174 \tabularnewline
174 & 0.380253 & 0.469323 & -0.0890703 \tabularnewline
175 & 0.387482 & 0.516456 & -0.128974 \tabularnewline
176 & 0.405991 & 0.480993 & -0.0750023 \tabularnewline
177 & 0.361232 & 0.437711 & -0.0764794 \tabularnewline
178 & 0.39661 & 0.407369 & -0.010759 \tabularnewline
179 & 0.402591 & 0.420916 & -0.0183255 \tabularnewline
180 & 0.398499 & 0.416332 & -0.0178334 \tabularnewline
181 & 0.352396 & 0.440247 & -0.0878511 \tabularnewline
182 & 0.408598 & 0.451202 & -0.0426044 \tabularnewline
183 & 0.329577 & 0.426014 & -0.0964369 \tabularnewline
184 & 0.603515 & 0.59609 & 0.00742548 \tabularnewline
185 & 0.663842 & 0.624726 & 0.039116 \tabularnewline
186 & 0.598515 & 0.559931 & 0.0385839 \tabularnewline
187 & 0.566424 & 0.534162 & 0.0322621 \tabularnewline
188 & 0.528485 & 0.507362 & 0.0211231 \tabularnewline
189 & 0.555303 & 0.523126 & 0.0321768 \tabularnewline
190 & 0.508479 & 0.475658 & 0.0328211 \tabularnewline
191 & 0.448439 & 0.469333 & -0.0208935 \tabularnewline
192 & 0.431674 & 0.455206 & -0.0235318 \tabularnewline
193 & 0.407567 & 0.401657 & 0.00590998 \tabularnewline
194 & 0.451221 & 0.540267 & -0.0890464 \tabularnewline
195 & 0.462803 & 0.479914 & -0.0171111 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232148&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]0.414783[/C][C]0.459231[/C][C]-0.0444485[/C][/ROW]
[ROW][C]2[/C][C]0.458359[/C][C]0.462071[/C][C]-0.00371189[/C][/ROW]
[ROW][C]3[/C][C]0.429895[/C][C]0.452642[/C][C]-0.0227467[/C][/ROW]
[ROW][C]4[/C][C]0.434969[/C][C]0.486817[/C][C]-0.0518479[/C][/ROW]
[ROW][C]5[/C][C]0.417356[/C][C]0.43039[/C][C]-0.0130336[/C][/ROW]
[ROW][C]6[/C][C]0.415564[/C][C]0.445607[/C][C]-0.0300426[/C][/ROW]
[ROW][C]7[/C][C]0.59604[/C][C]0.513179[/C][C]0.0828612[/C][/ROW]
[ROW][C]8[/C][C]0.63742[/C][C]0.44425[/C][C]0.19317[/C][/ROW]
[ROW][C]9[/C][C]0.615551[/C][C]0.570894[/C][C]0.0446573[/C][/ROW]
[ROW][C]10[/C][C]0.547037[/C][C]0.579903[/C][C]-0.0328657[/C][/ROW]
[ROW][C]11[/C][C]0.611137[/C][C]0.613894[/C][C]-0.00275661[/C][/ROW]
[ROW][C]12[/C][C]0.58339[/C][C]0.568283[/C][C]0.0151068[/C][/ROW]
[ROW][C]13[/C][C]0.4606[/C][C]0.46052[/C][C]8.03428e-05[/C][/ROW]
[ROW][C]14[/C][C]0.430166[/C][C]0.499967[/C][C]-0.0698006[/C][/ROW]
[ROW][C]15[/C][C]0.474791[/C][C]0.487797[/C][C]-0.0130056[/C][/ROW]
[ROW][C]16[/C][C]0.565924[/C][C]0.516787[/C][C]0.0491375[/C][/ROW]
[ROW][C]17[/C][C]0.56738[/C][C]0.571293[/C][C]-0.00391271[/C][/ROW]
[ROW][C]18[/C][C]0.631099[/C][C]0.641604[/C][C]-0.0105046[/C][/ROW]
[ROW][C]19[/C][C]0.665318[/C][C]0.627284[/C][C]0.0380344[/C][/ROW]
[ROW][C]20[/C][C]0.649554[/C][C]0.657415[/C][C]-0.00786125[/C][/ROW]
[ROW][C]21[/C][C]0.660125[/C][C]0.613865[/C][C]0.0462604[/C][/ROW]
[ROW][C]22[/C][C]0.629017[/C][C]0.614113[/C][C]0.0149035[/C][/ROW]
[ROW][C]23[/C][C]0.61906[/C][C]0.554264[/C][C]0.0647961[/C][/ROW]
[ROW][C]24[/C][C]0.537264[/C][C]0.551505[/C][C]-0.0142407[/C][/ROW]
[ROW][C]25[/C][C]0.397937[/C][C]0.41259[/C][C]-0.0146534[/C][/ROW]
[ROW][C]26[/C][C]0.522746[/C][C]0.505621[/C][C]0.0171249[/C][/ROW]
[ROW][C]27[/C][C]0.418622[/C][C]0.411762[/C][C]0.00686033[/C][/ROW]
[ROW][C]28[/C][C]0.358773[/C][C]0.425965[/C][C]-0.0671923[/C][/ROW]
[ROW][C]29[/C][C]0.470478[/C][C]0.4816[/C][C]-0.0111221[/C][/ROW]
[ROW][C]30[/C][C]0.427785[/C][C]0.442924[/C][C]-0.0151391[/C][/ROW]
[ROW][C]31[/C][C]0.422229[/C][C]0.405931[/C][C]0.0162983[/C][/ROW]
[ROW][C]32[/C][C]0.432439[/C][C]0.291492[/C][C]0.140947[/C][/ROW]
[ROW][C]33[/C][C]0.465946[/C][C]0.37386[/C][C]0.0920859[/C][/ROW]
[ROW][C]34[/C][C]0.368535[/C][C]0.32939[/C][C]0.0391452[/C][/ROW]
[ROW][C]35[/C][C]0.340068[/C][C]0.308045[/C][C]0.0320229[/C][/ROW]
[ROW][C]36[/C][C]0.344252[/C][C]0.258238[/C][C]0.0860141[/C][/ROW]
[ROW][C]37[/C][C]0.360148[/C][C]0.392476[/C][C]-0.0323281[/C][/ROW]
[ROW][C]38[/C][C]0.341435[/C][C]0.360398[/C][C]-0.0189631[/C][/ROW]
[ROW][C]39[/C][C]0.403884[/C][C]0.380662[/C][C]0.0232217[/C][/ROW]
[ROW][C]40[/C][C]0.396793[/C][C]0.403317[/C][C]-0.00652354[/C][/ROW]
[ROW][C]41[/C][C]0.32648[/C][C]0.347692[/C][C]-0.0212121[/C][/ROW]
[ROW][C]42[/C][C]0.306443[/C][C]0.284993[/C][C]0.0214496[/C][/ROW]
[ROW][C]43[/C][C]0.305062[/C][C]0.403947[/C][C]-0.0988849[/C][/ROW]
[ROW][C]44[/C][C]0.457702[/C][C]0.475914[/C][C]-0.0182124[/C][/ROW]
[ROW][C]45[/C][C]0.438296[/C][C]0.390966[/C][C]0.0473302[/C][/ROW]
[ROW][C]46[/C][C]0.431285[/C][C]0.399423[/C][C]0.031862[/C][/ROW]
[ROW][C]47[/C][C]0.467489[/C][C]0.416322[/C][C]0.051167[/C][/ROW]
[ROW][C]48[/C][C]0.610367[/C][C]0.432953[/C][C]0.177414[/C][/ROW]
[ROW][C]49[/C][C]0.579597[/C][C]0.537673[/C][C]0.0419242[/C][/ROW]
[ROW][C]50[/C][C]0.538688[/C][C]0.49068[/C][C]0.0480081[/C][/ROW]
[ROW][C]51[/C][C]0.553134[/C][C]0.504902[/C][C]0.0482321[/C][/ROW]
[ROW][C]52[/C][C]0.507504[/C][C]0.474138[/C][C]0.0333657[/C][/ROW]
[ROW][C]53[/C][C]0.459766[/C][C]0.465312[/C][C]-0.00554585[/C][/ROW]
[ROW][C]54[/C][C]0.420383[/C][C]0.454247[/C][C]-0.0338636[/C][/ROW]
[ROW][C]55[/C][C]0.536009[/C][C]0.52996[/C][C]0.00604933[/C][/ROW]
[ROW][C]56[/C][C]0.558586[/C][C]0.535701[/C][C]0.0228852[/C][/ROW]
[ROW][C]57[/C][C]0.541781[/C][C]0.529354[/C][C]0.0124268[/C][/ROW]
[ROW][C]58[/C][C]0.530529[/C][C]0.488723[/C][C]0.0418062[/C][/ROW]
[ROW][C]59[/C][C]0.540049[/C][C]0.511566[/C][C]0.0284834[/C][/ROW]
[ROW][C]60[/C][C]0.547975[/C][C]0.502654[/C][C]0.0453209[/C][/ROW]
[ROW][C]61[/C][C]0.341788[/C][C]0.339119[/C][C]0.00266941[/C][/ROW]
[ROW][C]62[/C][C]0.447979[/C][C]0.357657[/C][C]0.0903216[/C][/ROW]
[ROW][C]63[/C][C]0.364867[/C][C]0.350664[/C][C]0.0142034[/C][/ROW]
[ROW][C]64[/C][C]0.25657[/C][C]0.289622[/C][C]-0.0330523[/C][/ROW]
[ROW][C]65[/C][C]0.27685[/C][C]0.359351[/C][C]-0.0825006[/C][/ROW]
[ROW][C]66[/C][C]0.305429[/C][C]0.36619[/C][C]-0.0607608[/C][/ROW]
[ROW][C]67[/C][C]0.460139[/C][C]0.545843[/C][C]-0.0857038[/C][/ROW]
[ROW][C]68[/C][C]0.498133[/C][C]0.547194[/C][C]-0.0490612[/C][/ROW]
[ROW][C]69[/C][C]0.513237[/C][C]0.520429[/C][C]-0.00719187[/C][/ROW]
[ROW][C]70[/C][C]0.487407[/C][C]0.502463[/C][C]-0.0150557[/C][/ROW]
[ROW][C]71[/C][C]0.489345[/C][C]0.505396[/C][C]-0.0160512[/C][/ROW]
[ROW][C]72[/C][C]0.543299[/C][C]0.551045[/C][C]-0.00774573[/C][/ROW]
[ROW][C]73[/C][C]0.495954[/C][C]0.489264[/C][C]0.00668985[/C][/ROW]
[ROW][C]74[/C][C]0.509127[/C][C]0.544153[/C][C]-0.0350261[/C][/ROW]
[ROW][C]75[/C][C]0.437031[/C][C]0.438118[/C][C]-0.00108703[/C][/ROW]
[ROW][C]76[/C][C]0.463514[/C][C]0.531119[/C][C]-0.067605[/C][/ROW]
[ROW][C]77[/C][C]0.489538[/C][C]0.54551[/C][C]-0.0559724[/C][/ROW]
[ROW][C]78[/C][C]0.429484[/C][C]0.49399[/C][C]-0.0645057[/C][/ROW]
[ROW][C]79[/C][C]0.644954[/C][C]0.57887[/C][C]0.0660845[/C][/ROW]
[ROW][C]80[/C][C]0.594387[/C][C]0.554047[/C][C]0.0403397[/C][/ROW]
[ROW][C]81[/C][C]0.544805[/C][C]0.524598[/C][C]0.0202068[/C][/ROW]
[ROW][C]82[/C][C]0.576084[/C][C]0.578049[/C][C]-0.00196453[/C][/ROW]
[ROW][C]83[/C][C]0.55461[/C][C]0.510671[/C][C]0.0439392[/C][/ROW]
[ROW][C]84[/C][C]0.576644[/C][C]0.45749[/C][C]0.119154[/C][/ROW]
[ROW][C]85[/C][C]0.556494[/C][C]0.57165[/C][C]-0.0151558[/C][/ROW]
[ROW][C]86[/C][C]0.583574[/C][C]0.549072[/C][C]0.0345021[/C][/ROW]
[ROW][C]87[/C][C]0.598714[/C][C]0.605283[/C][C]-0.00656894[/C][/ROW]
[ROW][C]88[/C][C]0.602874[/C][C]0.54587[/C][C]0.0570045[/C][/ROW]
[ROW][C]89[/C][C]0.599371[/C][C]0.547783[/C][C]0.051588[/C][/ROW]
[ROW][C]90[/C][C]0.590951[/C][C]0.572972[/C][C]0.0179787[/C][/ROW]
[ROW][C]91[/C][C]0.65341[/C][C]0.608133[/C][C]0.0452767[/C][/ROW]
[ROW][C]92[/C][C]0.501037[/C][C]0.484117[/C][C]0.0169203[/C][/ROW]
[ROW][C]93[/C][C]0.454444[/C][C]0.480615[/C][C]-0.0261715[/C][/ROW]
[ROW][C]94[/C][C]0.447456[/C][C]0.470963[/C][C]-0.023507[/C][/ROW]
[ROW][C]95[/C][C]0.50238[/C][C]0.511678[/C][C]-0.00929802[/C][/ROW]
[ROW][C]96[/C][C]0.447285[/C][C]0.500995[/C][C]-0.0537097[/C][/ROW]
[ROW][C]97[/C][C]0.366329[/C][C]0.466437[/C][C]-0.100108[/C][/ROW]
[ROW][C]98[/C][C]0.629574[/C][C]0.653711[/C][C]-0.0241366[/C][/ROW]
[ROW][C]99[/C][C]0.57101[/C][C]0.641783[/C][C]-0.0707726[/C][/ROW]
[ROW][C]100[/C][C]0.638545[/C][C]0.691352[/C][C]-0.052807[/C][/ROW]
[ROW][C]101[/C][C]0.671299[/C][C]0.655607[/C][C]0.0156919[/C][/ROW]
[ROW][C]102[/C][C]0.639808[/C][C]0.669196[/C][C]-0.0293881[/C][/ROW]
[ROW][C]103[/C][C]0.596362[/C][C]0.617449[/C][C]-0.0210866[/C][/ROW]
[ROW][C]104[/C][C]0.296888[/C][C]0.382317[/C][C]-0.0854293[/C][/ROW]
[ROW][C]105[/C][C]0.263654[/C][C]0.366951[/C][C]-0.103297[/C][/ROW]
[ROW][C]106[/C][C]0.365488[/C][C]0.402868[/C][C]-0.0373797[/C][/ROW]
[ROW][C]107[/C][C]0.334171[/C][C]0.367883[/C][C]-0.0337122[/C][/ROW]
[ROW][C]108[/C][C]0.393563[/C][C]0.412288[/C][C]-0.018725[/C][/ROW]
[ROW][C]109[/C][C]0.311369[/C][C]0.359161[/C][C]-0.047792[/C][/ROW]
[ROW][C]110[/C][C]0.497554[/C][C]0.432612[/C][C]0.0649419[/C][/ROW]
[ROW][C]111[/C][C]0.436084[/C][C]0.454987[/C][C]-0.0189029[/C][/ROW]
[ROW][C]112[/C][C]0.338097[/C][C]0.398161[/C][C]-0.0600642[/C][/ROW]
[ROW][C]113[/C][C]0.498877[/C][C]0.455853[/C][C]0.0430242[/C][/ROW]
[ROW][C]114[/C][C]0.441097[/C][C]0.422196[/C][C]0.0189007[/C][/ROW]
[ROW][C]115[/C][C]0.331508[/C][C]0.380392[/C][C]-0.0488844[/C][/ROW]
[ROW][C]116[/C][C]0.407701[/C][C]0.457607[/C][C]-0.0499064[/C][/ROW]
[ROW][C]117[/C][C]0.450798[/C][C]0.4425[/C][C]0.00829775[/C][/ROW]
[ROW][C]118[/C][C]0.486738[/C][C]0.47806[/C][C]0.00867789[/C][/ROW]
[ROW][C]119[/C][C]0.470422[/C][C]0.496161[/C][C]-0.0257395[/C][/ROW]
[ROW][C]120[/C][C]0.462516[/C][C]0.501081[/C][C]-0.0385654[/C][/ROW]
[ROW][C]121[/C][C]0.487756[/C][C]0.449879[/C][C]0.0378773[/C][/ROW]
[ROW][C]122[/C][C]0.400088[/C][C]0.441653[/C][C]-0.041565[/C][/ROW]
[ROW][C]123[/C][C]0.538016[/C][C]0.550266[/C][C]-0.0122503[/C][/ROW]
[ROW][C]124[/C][C]0.589956[/C][C]0.515716[/C][C]0.0742404[/C][/ROW]
[ROW][C]125[/C][C]0.618663[/C][C]0.519637[/C][C]0.0990262[/C][/ROW]
[ROW][C]126[/C][C]0.637518[/C][C]0.550517[/C][C]0.0870009[/C][/ROW]
[ROW][C]127[/C][C]0.623209[/C][C]0.560265[/C][C]0.062944[/C][/ROW]
[ROW][C]128[/C][C]0.585169[/C][C]0.529801[/C][C]0.0553677[/C][/ROW]
[ROW][C]129[/C][C]0.457541[/C][C]0.40025[/C][C]0.057291[/C][/ROW]
[ROW][C]130[/C][C]0.491345[/C][C]0.44935[/C][C]0.0419947[/C][/ROW]
[ROW][C]131[/C][C]0.46716[/C][C]0.444716[/C][C]0.0224435[/C][/ROW]
[ROW][C]132[/C][C]0.468621[/C][C]0.429464[/C][C]0.0391568[/C][/ROW]
[ROW][C]133[/C][C]0.470972[/C][C]0.500603[/C][C]-0.0296312[/C][/ROW]
[ROW][C]134[/C][C]0.482296[/C][C]0.45734[/C][C]0.0249565[/C][/ROW]
[ROW][C]135[/C][C]0.637814[/C][C]0.640525[/C][C]-0.00271133[/C][/ROW]
[ROW][C]136[/C][C]0.653427[/C][C]0.628115[/C][C]0.0253117[/C][/ROW]
[ROW][C]137[/C][C]0.6479[/C][C]0.6647[/C][C]-0.0168004[/C][/ROW]
[ROW][C]138[/C][C]0.625362[/C][C]0.629934[/C][C]-0.00457156[/C][/ROW]
[ROW][C]139[/C][C]0.640945[/C][C]0.630713[/C][C]0.0102317[/C][/ROW]
[ROW][C]140[/C][C]0.624811[/C][C]0.610406[/C][C]0.0144049[/C][/ROW]
[ROW][C]141[/C][C]0.677131[/C][C]0.598234[/C][C]0.0788968[/C][/ROW]
[ROW][C]142[/C][C]0.606344[/C][C]0.577421[/C][C]0.0289232[/C][/ROW]
[ROW][C]143[/C][C]0.606273[/C][C]0.595089[/C][C]0.0111843[/C][/ROW]
[ROW][C]144[/C][C]0.536102[/C][C]0.556838[/C][C]-0.0207362[/C][/ROW]
[ROW][C]145[/C][C]0.49748[/C][C]0.507153[/C][C]-0.00967303[/C][/ROW]
[ROW][C]146[/C][C]0.566849[/C][C]0.596119[/C][C]-0.0292701[/C][/ROW]
[ROW][C]147[/C][C]0.56161[/C][C]0.625173[/C][C]-0.0635632[/C][/ROW]
[ROW][C]148[/C][C]0.478024[/C][C]0.563497[/C][C]-0.0854731[/C][/ROW]
[ROW][C]149[/C][C]0.55287[/C][C]0.559157[/C][C]-0.0062869[/C][/ROW]
[ROW][C]150[/C][C]0.427627[/C][C]0.42731[/C][C]0.000316648[/C][/ROW]
[ROW][C]151[/C][C]0.507826[/C][C]0.492019[/C][C]0.0158074[/C][/ROW]
[ROW][C]152[/C][C]0.625866[/C][C]0.6315[/C][C]-0.00563403[/C][/ROW]
[ROW][C]153[/C][C]0.584164[/C][C]0.474632[/C][C]0.109532[/C][/ROW]
[ROW][C]154[/C][C]0.566867[/C][C]0.626602[/C][C]-0.0597346[/C][/ROW]
[ROW][C]155[/C][C]0.65168[/C][C]0.577559[/C][C]0.0741207[/C][/ROW]
[ROW][C]156[/C][C]0.6283[/C][C]0.59572[/C][C]0.0325795[/C][/ROW]
[ROW][C]157[/C][C]0.611679[/C][C]0.512801[/C][C]0.0988783[/C][/ROW]
[ROW][C]158[/C][C]0.630547[/C][C]0.616478[/C][C]0.0140688[/C][/ROW]
[ROW][C]159[/C][C]0.635015[/C][C]0.566537[/C][C]0.0684781[/C][/ROW]
[ROW][C]160[/C][C]0.654945[/C][C]0.643424[/C][C]0.0115212[/C][/ROW]
[ROW][C]161[/C][C]0.653139[/C][C]0.671885[/C][C]-0.0187465[/C][/ROW]
[ROW][C]162[/C][C]0.577802[/C][C]0.599198[/C][C]-0.0213963[/C][/ROW]
[ROW][C]163[/C][C]0.685151[/C][C]0.612899[/C][C]0.0722524[/C][/ROW]
[ROW][C]164[/C][C]0.557045[/C][C]0.605603[/C][C]-0.0485579[/C][/ROW]
[ROW][C]165[/C][C]0.671378[/C][C]0.727636[/C][C]-0.0562582[/C][/ROW]
[ROW][C]166[/C][C]0.469928[/C][C]0.464527[/C][C]0.00540098[/C][/ROW]
[ROW][C]167[/C][C]0.384868[/C][C]0.475115[/C][C]-0.0902469[/C][/ROW]
[ROW][C]168[/C][C]0.440988[/C][C]0.492116[/C][C]-0.051128[/C][/ROW]
[ROW][C]169[/C][C]0.372222[/C][C]0.454159[/C][C]-0.0819367[/C][/ROW]
[ROW][C]170[/C][C]0.371837[/C][C]0.409068[/C][C]-0.0372308[/C][/ROW]
[ROW][C]171[/C][C]0.522812[/C][C]0.475097[/C][C]0.0477148[/C][/ROW]
[ROW][C]172[/C][C]0.413295[/C][C]0.450194[/C][C]-0.0368989[/C][/ROW]
[ROW][C]173[/C][C]0.36909[/C][C]0.474264[/C][C]-0.105174[/C][/ROW]
[ROW][C]174[/C][C]0.380253[/C][C]0.469323[/C][C]-0.0890703[/C][/ROW]
[ROW][C]175[/C][C]0.387482[/C][C]0.516456[/C][C]-0.128974[/C][/ROW]
[ROW][C]176[/C][C]0.405991[/C][C]0.480993[/C][C]-0.0750023[/C][/ROW]
[ROW][C]177[/C][C]0.361232[/C][C]0.437711[/C][C]-0.0764794[/C][/ROW]
[ROW][C]178[/C][C]0.39661[/C][C]0.407369[/C][C]-0.010759[/C][/ROW]
[ROW][C]179[/C][C]0.402591[/C][C]0.420916[/C][C]-0.0183255[/C][/ROW]
[ROW][C]180[/C][C]0.398499[/C][C]0.416332[/C][C]-0.0178334[/C][/ROW]
[ROW][C]181[/C][C]0.352396[/C][C]0.440247[/C][C]-0.0878511[/C][/ROW]
[ROW][C]182[/C][C]0.408598[/C][C]0.451202[/C][C]-0.0426044[/C][/ROW]
[ROW][C]183[/C][C]0.329577[/C][C]0.426014[/C][C]-0.0964369[/C][/ROW]
[ROW][C]184[/C][C]0.603515[/C][C]0.59609[/C][C]0.00742548[/C][/ROW]
[ROW][C]185[/C][C]0.663842[/C][C]0.624726[/C][C]0.039116[/C][/ROW]
[ROW][C]186[/C][C]0.598515[/C][C]0.559931[/C][C]0.0385839[/C][/ROW]
[ROW][C]187[/C][C]0.566424[/C][C]0.534162[/C][C]0.0322621[/C][/ROW]
[ROW][C]188[/C][C]0.528485[/C][C]0.507362[/C][C]0.0211231[/C][/ROW]
[ROW][C]189[/C][C]0.555303[/C][C]0.523126[/C][C]0.0321768[/C][/ROW]
[ROW][C]190[/C][C]0.508479[/C][C]0.475658[/C][C]0.0328211[/C][/ROW]
[ROW][C]191[/C][C]0.448439[/C][C]0.469333[/C][C]-0.0208935[/C][/ROW]
[ROW][C]192[/C][C]0.431674[/C][C]0.455206[/C][C]-0.0235318[/C][/ROW]
[ROW][C]193[/C][C]0.407567[/C][C]0.401657[/C][C]0.00590998[/C][/ROW]
[ROW][C]194[/C][C]0.451221[/C][C]0.540267[/C][C]-0.0890464[/C][/ROW]
[ROW][C]195[/C][C]0.462803[/C][C]0.479914[/C][C]-0.0171111[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=232148&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232148&T=4

As an alternative you can also use a QR Code:

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

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	InterpolationForecast	ResidualsPrediction Error
1	0.414783	0.459231	-0.0444485
2	0.458359	0.462071	-0.00371189
3	0.429895	0.452642	-0.0227467
4	0.434969	0.486817	-0.0518479
5	0.417356	0.43039	-0.0130336
6	0.415564	0.445607	-0.0300426
7	0.59604	0.513179	0.0828612
8	0.63742	0.44425	0.19317
9	0.615551	0.570894	0.0446573
10	0.547037	0.579903	-0.0328657
11	0.611137	0.613894	-0.00275661
12	0.58339	0.568283	0.0151068
13	0.4606	0.46052	8.03428e-05
14	0.430166	0.499967	-0.0698006
15	0.474791	0.487797	-0.0130056
16	0.565924	0.516787	0.0491375
17	0.56738	0.571293	-0.00391271
18	0.631099	0.641604	-0.0105046
19	0.665318	0.627284	0.0380344
20	0.649554	0.657415	-0.00786125
21	0.660125	0.613865	0.0462604
22	0.629017	0.614113	0.0149035
23	0.61906	0.554264	0.0647961
24	0.537264	0.551505	-0.0142407
25	0.397937	0.41259	-0.0146534
26	0.522746	0.505621	0.0171249
27	0.418622	0.411762	0.00686033
28	0.358773	0.425965	-0.0671923
29	0.470478	0.4816	-0.0111221
30	0.427785	0.442924	-0.0151391
31	0.422229	0.405931	0.0162983
32	0.432439	0.291492	0.140947
33	0.465946	0.37386	0.0920859
34	0.368535	0.32939	0.0391452
35	0.340068	0.308045	0.0320229
36	0.344252	0.258238	0.0860141
37	0.360148	0.392476	-0.0323281
38	0.341435	0.360398	-0.0189631
39	0.403884	0.380662	0.0232217
40	0.396793	0.403317	-0.00652354
41	0.32648	0.347692	-0.0212121
42	0.306443	0.284993	0.0214496
43	0.305062	0.403947	-0.0988849
44	0.457702	0.475914	-0.0182124
45	0.438296	0.390966	0.0473302
46	0.431285	0.399423	0.031862
47	0.467489	0.416322	0.051167
48	0.610367	0.432953	0.177414
49	0.579597	0.537673	0.0419242
50	0.538688	0.49068	0.0480081
51	0.553134	0.504902	0.0482321
52	0.507504	0.474138	0.0333657
53	0.459766	0.465312	-0.00554585
54	0.420383	0.454247	-0.0338636
55	0.536009	0.52996	0.00604933
56	0.558586	0.535701	0.0228852
57	0.541781	0.529354	0.0124268
58	0.530529	0.488723	0.0418062
59	0.540049	0.511566	0.0284834
60	0.547975	0.502654	0.0453209
61	0.341788	0.339119	0.00266941
62	0.447979	0.357657	0.0903216
63	0.364867	0.350664	0.0142034
64	0.25657	0.289622	-0.0330523
65	0.27685	0.359351	-0.0825006
66	0.305429	0.36619	-0.0607608
67	0.460139	0.545843	-0.0857038
68	0.498133	0.547194	-0.0490612
69	0.513237	0.520429	-0.00719187
70	0.487407	0.502463	-0.0150557
71	0.489345	0.505396	-0.0160512
72	0.543299	0.551045	-0.00774573
73	0.495954	0.489264	0.00668985
74	0.509127	0.544153	-0.0350261
75	0.437031	0.438118	-0.00108703
76	0.463514	0.531119	-0.067605
77	0.489538	0.54551	-0.0559724
78	0.429484	0.49399	-0.0645057
79	0.644954	0.57887	0.0660845
80	0.594387	0.554047	0.0403397
81	0.544805	0.524598	0.0202068
82	0.576084	0.578049	-0.00196453
83	0.55461	0.510671	0.0439392
84	0.576644	0.45749	0.119154
85	0.556494	0.57165	-0.0151558
86	0.583574	0.549072	0.0345021
87	0.598714	0.605283	-0.00656894
88	0.602874	0.54587	0.0570045
89	0.599371	0.547783	0.051588
90	0.590951	0.572972	0.0179787
91	0.65341	0.608133	0.0452767
92	0.501037	0.484117	0.0169203
93	0.454444	0.480615	-0.0261715
94	0.447456	0.470963	-0.023507
95	0.50238	0.511678	-0.00929802
96	0.447285	0.500995	-0.0537097
97	0.366329	0.466437	-0.100108
98	0.629574	0.653711	-0.0241366
99	0.57101	0.641783	-0.0707726
100	0.638545	0.691352	-0.052807
101	0.671299	0.655607	0.0156919
102	0.639808	0.669196	-0.0293881
103	0.596362	0.617449	-0.0210866
104	0.296888	0.382317	-0.0854293
105	0.263654	0.366951	-0.103297
106	0.365488	0.402868	-0.0373797
107	0.334171	0.367883	-0.0337122
108	0.393563	0.412288	-0.018725
109	0.311369	0.359161	-0.047792
110	0.497554	0.432612	0.0649419
111	0.436084	0.454987	-0.0189029
112	0.338097	0.398161	-0.0600642
113	0.498877	0.455853	0.0430242
114	0.441097	0.422196	0.0189007
115	0.331508	0.380392	-0.0488844
116	0.407701	0.457607	-0.0499064
117	0.450798	0.4425	0.00829775
118	0.486738	0.47806	0.00867789
119	0.470422	0.496161	-0.0257395
120	0.462516	0.501081	-0.0385654
121	0.487756	0.449879	0.0378773
122	0.400088	0.441653	-0.041565
123	0.538016	0.550266	-0.0122503
124	0.589956	0.515716	0.0742404
125	0.618663	0.519637	0.0990262
126	0.637518	0.550517	0.0870009
127	0.623209	0.560265	0.062944
128	0.585169	0.529801	0.0553677
129	0.457541	0.40025	0.057291
130	0.491345	0.44935	0.0419947
131	0.46716	0.444716	0.0224435
132	0.468621	0.429464	0.0391568
133	0.470972	0.500603	-0.0296312
134	0.482296	0.45734	0.0249565
135	0.637814	0.640525	-0.00271133
136	0.653427	0.628115	0.0253117
137	0.6479	0.6647	-0.0168004
138	0.625362	0.629934	-0.00457156
139	0.640945	0.630713	0.0102317
140	0.624811	0.610406	0.0144049
141	0.677131	0.598234	0.0788968
142	0.606344	0.577421	0.0289232
143	0.606273	0.595089	0.0111843
144	0.536102	0.556838	-0.0207362
145	0.49748	0.507153	-0.00967303
146	0.566849	0.596119	-0.0292701
147	0.56161	0.625173	-0.0635632
148	0.478024	0.563497	-0.0854731
149	0.55287	0.559157	-0.0062869
150	0.427627	0.42731	0.000316648
151	0.507826	0.492019	0.0158074
152	0.625866	0.6315	-0.00563403
153	0.584164	0.474632	0.109532
154	0.566867	0.626602	-0.0597346
155	0.65168	0.577559	0.0741207
156	0.6283	0.59572	0.0325795
157	0.611679	0.512801	0.0988783
158	0.630547	0.616478	0.0140688
159	0.635015	0.566537	0.0684781
160	0.654945	0.643424	0.0115212
161	0.653139	0.671885	-0.0187465
162	0.577802	0.599198	-0.0213963
163	0.685151	0.612899	0.0722524
164	0.557045	0.605603	-0.0485579
165	0.671378	0.727636	-0.0562582
166	0.469928	0.464527	0.00540098
167	0.384868	0.475115	-0.0902469
168	0.440988	0.492116	-0.051128
169	0.372222	0.454159	-0.0819367
170	0.371837	0.409068	-0.0372308
171	0.522812	0.475097	0.0477148
172	0.413295	0.450194	-0.0368989
173	0.36909	0.474264	-0.105174
174	0.380253	0.469323	-0.0890703
175	0.387482	0.516456	-0.128974
176	0.405991	0.480993	-0.0750023
177	0.361232	0.437711	-0.0764794
178	0.39661	0.407369	-0.010759
179	0.402591	0.420916	-0.0183255
180	0.398499	0.416332	-0.0178334
181	0.352396	0.440247	-0.0878511
182	0.408598	0.451202	-0.0426044
183	0.329577	0.426014	-0.0964369
184	0.603515	0.59609	0.00742548
185	0.663842	0.624726	0.039116
186	0.598515	0.559931	0.0385839
187	0.566424	0.534162	0.0322621
188	0.528485	0.507362	0.0211231
189	0.555303	0.523126	0.0321768
190	0.508479	0.475658	0.0328211
191	0.448439	0.469333	-0.0208935
192	0.431674	0.455206	-0.0235318
193	0.407567	0.401657	0.00590998
194	0.451221	0.540267	-0.0890464
195	0.462803	0.479914	-0.0171111

Goldfeld-Quandt test for Heteroskedasticity
p-values	Alternative Hypothesis
breakpoint index	greater	2-sided	less
26	0.768917	0.462167	0.231083
27	0.659457	0.681087	0.340543
28	0.83889	0.322221	0.16111
29	0.819211	0.361577	0.180789
30	0.744855	0.510291	0.255145
31	0.652651	0.694698	0.347349
32	0.647177	0.705647	0.352823
33	0.589879	0.820241	0.410121
34	0.53898	0.922039	0.46102
35	0.493055	0.98611	0.506945
36	0.458026	0.916051	0.541974
37	0.541254	0.917492	0.458746
38	0.484988	0.969975	0.515012
39	0.469605	0.93921	0.530395
40	0.400787	0.801574	0.599213
41	0.330798	0.661596	0.669202
42	0.275062	0.550124	0.724938
43	0.240308	0.480615	0.759692
44	0.218688	0.437375	0.781312
45	0.233025	0.466049	0.766975
46	0.20125	0.4025	0.79875
47	0.201809	0.403617	0.798191
48	0.764205	0.47159	0.235795
49	0.789731	0.420539	0.210269
50	0.769294	0.461411	0.230706
51	0.778906	0.442188	0.221094
52	0.759609	0.480783	0.240391
53	0.723469	0.553062	0.276531
54	0.700875	0.598251	0.299125
55	0.679165	0.64167	0.320835
56	0.644421	0.711158	0.355579
57	0.595713	0.808574	0.404287
58	0.559459	0.881082	0.440541
59	0.519005	0.96199	0.480995
60	0.595056	0.809887	0.404944
61	0.595058	0.809885	0.404942
62	0.677482	0.645037	0.322518
63	0.68399	0.632019	0.31601
64	0.668795	0.662409	0.331205
65	0.758045	0.48391	0.241955
66	0.781033	0.437933	0.218967
67	0.799696	0.400608	0.200304
68	0.784104	0.431792	0.215896
69	0.817639	0.364723	0.182361
70	0.789232	0.421536	0.210768
71	0.764509	0.470982	0.235491
72	0.749028	0.501944	0.250972
73	0.728674	0.542652	0.271326
74	0.687358	0.625284	0.312642
75	0.687676	0.624648	0.312324
76	0.753937	0.492127	0.246063
77	0.738177	0.523646	0.261823
78	0.781966	0.436069	0.218034
79	0.818518	0.362965	0.181482
80	0.827502	0.344996	0.172498
81	0.796805	0.406389	0.203195
82	0.761815	0.47637	0.238185
83	0.751171	0.497658	0.248829
84	0.868671	0.262659	0.131329
85	0.86539	0.26922	0.13461
86	0.868246	0.263507	0.131754
87	0.843096	0.313809	0.156904
88	0.837313	0.325373	0.162687
89	0.843482	0.313037	0.156518
90	0.829625	0.340751	0.170375
91	0.837099	0.325801	0.162901
92	0.826807	0.346387	0.173193
93	0.80046	0.399081	0.19954
94	0.771691	0.456618	0.228309
95	0.735035	0.52993	0.264965
96	0.716041	0.567918	0.283959
97	0.781799	0.436403	0.218201
98	0.789112	0.421776	0.210888
99	0.832498	0.335003	0.167502
100	0.81592	0.36816	0.18408
101	0.844309	0.311382	0.155691
102	0.829892	0.340215	0.170108
103	0.824398	0.351204	0.175602
104	0.876649	0.246703	0.123351
105	0.928429	0.143142	0.0715712
106	0.912433	0.175135	0.0875674
107	0.89699	0.206019	0.10301
108	0.875885	0.248229	0.124115
109	0.868725	0.262551	0.131275
110	0.894537	0.210925	0.105463
111	0.873558	0.252885	0.126442
112	0.884339	0.231322	0.115661
113	0.878622	0.242756	0.121378
114	0.878733	0.242534	0.121267
115	0.87483	0.250341	0.12517
116	0.878407	0.243186	0.121593
117	0.86374	0.272521	0.13626
118	0.842501	0.314999	0.157499
119	0.816078	0.367844	0.183922
120	0.797754	0.404493	0.202246
121	0.79061	0.41878	0.20939
122	0.798686	0.402627	0.201314
123	0.776871	0.446258	0.223129
124	0.791527	0.416947	0.208473
125	0.829361	0.341278	0.170639
126	0.843693	0.312614	0.156307
127	0.861264	0.277472	0.138736
128	0.937924	0.124151	0.0620756
129	0.937352	0.125295	0.0626476
130	0.938348	0.123305	0.0616523
131	0.923033	0.153935	0.0769674
132	0.908005	0.183989	0.0919947
133	0.889214	0.221573	0.110786
134	0.886173	0.227654	0.113827
135	0.889499	0.221002	0.110501
136	0.863458	0.273084	0.136542
137	0.83738	0.32524	0.16262
138	0.802764	0.394473	0.197236
139	0.761349	0.477303	0.238651
140	0.727983	0.544034	0.272017
141	0.82189	0.356219	0.17811
142	0.821604	0.356792	0.178396
143	0.84839	0.303219	0.15161
144	0.81572	0.368559	0.18428
145	0.776213	0.447573	0.223787
146	0.811365	0.37727	0.188635
147	0.773499	0.453002	0.226501
148	0.730404	0.539193	0.269596
149	0.679532	0.640936	0.320468
150	0.633002	0.733996	0.366998
151	0.596972	0.806056	0.403028
152	0.676179	0.647643	0.323821
153	0.780915	0.438171	0.219085
154	0.748808	0.502384	0.251192
155	0.814979	0.370042	0.185021
156	0.86718	0.26564	0.13282
157	0.877065	0.24587	0.122935
158	0.872929	0.254141	0.127071
159	0.829653	0.340693	0.170347
160	0.767359	0.465282	0.232641
161	0.842388	0.315224	0.157612
162	0.800433	0.399134	0.199567
163	0.735513	0.528973	0.264487
164	0.79416	0.411681	0.20584
165	0.854245	0.29151	0.145755
166	0.779126	0.441748	0.220874
167	0.986013	0.0279745	0.0139872
168	0.992579	0.0148414	0.0074207
169	0.988118	0.0237637	0.0118819

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
26 & 0.768917 & 0.462167 & 0.231083 \tabularnewline
27 & 0.659457 & 0.681087 & 0.340543 \tabularnewline
28 & 0.83889 & 0.322221 & 0.16111 \tabularnewline
29 & 0.819211 & 0.361577 & 0.180789 \tabularnewline
30 & 0.744855 & 0.510291 & 0.255145 \tabularnewline
31 & 0.652651 & 0.694698 & 0.347349 \tabularnewline
32 & 0.647177 & 0.705647 & 0.352823 \tabularnewline
33 & 0.589879 & 0.820241 & 0.410121 \tabularnewline
34 & 0.53898 & 0.922039 & 0.46102 \tabularnewline
35 & 0.493055 & 0.98611 & 0.506945 \tabularnewline
36 & 0.458026 & 0.916051 & 0.541974 \tabularnewline
37 & 0.541254 & 0.917492 & 0.458746 \tabularnewline
38 & 0.484988 & 0.969975 & 0.515012 \tabularnewline
39 & 0.469605 & 0.93921 & 0.530395 \tabularnewline
40 & 0.400787 & 0.801574 & 0.599213 \tabularnewline
41 & 0.330798 & 0.661596 & 0.669202 \tabularnewline
42 & 0.275062 & 0.550124 & 0.724938 \tabularnewline
43 & 0.240308 & 0.480615 & 0.759692 \tabularnewline
44 & 0.218688 & 0.437375 & 0.781312 \tabularnewline
45 & 0.233025 & 0.466049 & 0.766975 \tabularnewline
46 & 0.20125 & 0.4025 & 0.79875 \tabularnewline
47 & 0.201809 & 0.403617 & 0.798191 \tabularnewline
48 & 0.764205 & 0.47159 & 0.235795 \tabularnewline
49 & 0.789731 & 0.420539 & 0.210269 \tabularnewline
50 & 0.769294 & 0.461411 & 0.230706 \tabularnewline
51 & 0.778906 & 0.442188 & 0.221094 \tabularnewline
52 & 0.759609 & 0.480783 & 0.240391 \tabularnewline
53 & 0.723469 & 0.553062 & 0.276531 \tabularnewline
54 & 0.700875 & 0.598251 & 0.299125 \tabularnewline
55 & 0.679165 & 0.64167 & 0.320835 \tabularnewline
56 & 0.644421 & 0.711158 & 0.355579 \tabularnewline
57 & 0.595713 & 0.808574 & 0.404287 \tabularnewline
58 & 0.559459 & 0.881082 & 0.440541 \tabularnewline
59 & 0.519005 & 0.96199 & 0.480995 \tabularnewline
60 & 0.595056 & 0.809887 & 0.404944 \tabularnewline
61 & 0.595058 & 0.809885 & 0.404942 \tabularnewline
62 & 0.677482 & 0.645037 & 0.322518 \tabularnewline
63 & 0.68399 & 0.632019 & 0.31601 \tabularnewline
64 & 0.668795 & 0.662409 & 0.331205 \tabularnewline
65 & 0.758045 & 0.48391 & 0.241955 \tabularnewline
66 & 0.781033 & 0.437933 & 0.218967 \tabularnewline
67 & 0.799696 & 0.400608 & 0.200304 \tabularnewline
68 & 0.784104 & 0.431792 & 0.215896 \tabularnewline
69 & 0.817639 & 0.364723 & 0.182361 \tabularnewline
70 & 0.789232 & 0.421536 & 0.210768 \tabularnewline
71 & 0.764509 & 0.470982 & 0.235491 \tabularnewline
72 & 0.749028 & 0.501944 & 0.250972 \tabularnewline
73 & 0.728674 & 0.542652 & 0.271326 \tabularnewline
74 & 0.687358 & 0.625284 & 0.312642 \tabularnewline
75 & 0.687676 & 0.624648 & 0.312324 \tabularnewline
76 & 0.753937 & 0.492127 & 0.246063 \tabularnewline
77 & 0.738177 & 0.523646 & 0.261823 \tabularnewline
78 & 0.781966 & 0.436069 & 0.218034 \tabularnewline
79 & 0.818518 & 0.362965 & 0.181482 \tabularnewline
80 & 0.827502 & 0.344996 & 0.172498 \tabularnewline
81 & 0.796805 & 0.406389 & 0.203195 \tabularnewline
82 & 0.761815 & 0.47637 & 0.238185 \tabularnewline
83 & 0.751171 & 0.497658 & 0.248829 \tabularnewline
84 & 0.868671 & 0.262659 & 0.131329 \tabularnewline
85 & 0.86539 & 0.26922 & 0.13461 \tabularnewline
86 & 0.868246 & 0.263507 & 0.131754 \tabularnewline
87 & 0.843096 & 0.313809 & 0.156904 \tabularnewline
88 & 0.837313 & 0.325373 & 0.162687 \tabularnewline
89 & 0.843482 & 0.313037 & 0.156518 \tabularnewline
90 & 0.829625 & 0.340751 & 0.170375 \tabularnewline
91 & 0.837099 & 0.325801 & 0.162901 \tabularnewline
92 & 0.826807 & 0.346387 & 0.173193 \tabularnewline
93 & 0.80046 & 0.399081 & 0.19954 \tabularnewline
94 & 0.771691 & 0.456618 & 0.228309 \tabularnewline
95 & 0.735035 & 0.52993 & 0.264965 \tabularnewline
96 & 0.716041 & 0.567918 & 0.283959 \tabularnewline
97 & 0.781799 & 0.436403 & 0.218201 \tabularnewline
98 & 0.789112 & 0.421776 & 0.210888 \tabularnewline
99 & 0.832498 & 0.335003 & 0.167502 \tabularnewline
100 & 0.81592 & 0.36816 & 0.18408 \tabularnewline
101 & 0.844309 & 0.311382 & 0.155691 \tabularnewline
102 & 0.829892 & 0.340215 & 0.170108 \tabularnewline
103 & 0.824398 & 0.351204 & 0.175602 \tabularnewline
104 & 0.876649 & 0.246703 & 0.123351 \tabularnewline
105 & 0.928429 & 0.143142 & 0.0715712 \tabularnewline
106 & 0.912433 & 0.175135 & 0.0875674 \tabularnewline
107 & 0.89699 & 0.206019 & 0.10301 \tabularnewline
108 & 0.875885 & 0.248229 & 0.124115 \tabularnewline
109 & 0.868725 & 0.262551 & 0.131275 \tabularnewline
110 & 0.894537 & 0.210925 & 0.105463 \tabularnewline
111 & 0.873558 & 0.252885 & 0.126442 \tabularnewline
112 & 0.884339 & 0.231322 & 0.115661 \tabularnewline
113 & 0.878622 & 0.242756 & 0.121378 \tabularnewline
114 & 0.878733 & 0.242534 & 0.121267 \tabularnewline
115 & 0.87483 & 0.250341 & 0.12517 \tabularnewline
116 & 0.878407 & 0.243186 & 0.121593 \tabularnewline
117 & 0.86374 & 0.272521 & 0.13626 \tabularnewline
118 & 0.842501 & 0.314999 & 0.157499 \tabularnewline
119 & 0.816078 & 0.367844 & 0.183922 \tabularnewline
120 & 0.797754 & 0.404493 & 0.202246 \tabularnewline
121 & 0.79061 & 0.41878 & 0.20939 \tabularnewline
122 & 0.798686 & 0.402627 & 0.201314 \tabularnewline
123 & 0.776871 & 0.446258 & 0.223129 \tabularnewline
124 & 0.791527 & 0.416947 & 0.208473 \tabularnewline
125 & 0.829361 & 0.341278 & 0.170639 \tabularnewline
126 & 0.843693 & 0.312614 & 0.156307 \tabularnewline
127 & 0.861264 & 0.277472 & 0.138736 \tabularnewline
128 & 0.937924 & 0.124151 & 0.0620756 \tabularnewline
129 & 0.937352 & 0.125295 & 0.0626476 \tabularnewline
130 & 0.938348 & 0.123305 & 0.0616523 \tabularnewline
131 & 0.923033 & 0.153935 & 0.0769674 \tabularnewline
132 & 0.908005 & 0.183989 & 0.0919947 \tabularnewline
133 & 0.889214 & 0.221573 & 0.110786 \tabularnewline
134 & 0.886173 & 0.227654 & 0.113827 \tabularnewline
135 & 0.889499 & 0.221002 & 0.110501 \tabularnewline
136 & 0.863458 & 0.273084 & 0.136542 \tabularnewline
137 & 0.83738 & 0.32524 & 0.16262 \tabularnewline
138 & 0.802764 & 0.394473 & 0.197236 \tabularnewline
139 & 0.761349 & 0.477303 & 0.238651 \tabularnewline
140 & 0.727983 & 0.544034 & 0.272017 \tabularnewline
141 & 0.82189 & 0.356219 & 0.17811 \tabularnewline
142 & 0.821604 & 0.356792 & 0.178396 \tabularnewline
143 & 0.84839 & 0.303219 & 0.15161 \tabularnewline
144 & 0.81572 & 0.368559 & 0.18428 \tabularnewline
145 & 0.776213 & 0.447573 & 0.223787 \tabularnewline
146 & 0.811365 & 0.37727 & 0.188635 \tabularnewline
147 & 0.773499 & 0.453002 & 0.226501 \tabularnewline
148 & 0.730404 & 0.539193 & 0.269596 \tabularnewline
149 & 0.679532 & 0.640936 & 0.320468 \tabularnewline
150 & 0.633002 & 0.733996 & 0.366998 \tabularnewline
151 & 0.596972 & 0.806056 & 0.403028 \tabularnewline
152 & 0.676179 & 0.647643 & 0.323821 \tabularnewline
153 & 0.780915 & 0.438171 & 0.219085 \tabularnewline
154 & 0.748808 & 0.502384 & 0.251192 \tabularnewline
155 & 0.814979 & 0.370042 & 0.185021 \tabularnewline
156 & 0.86718 & 0.26564 & 0.13282 \tabularnewline
157 & 0.877065 & 0.24587 & 0.122935 \tabularnewline
158 & 0.872929 & 0.254141 & 0.127071 \tabularnewline
159 & 0.829653 & 0.340693 & 0.170347 \tabularnewline
160 & 0.767359 & 0.465282 & 0.232641 \tabularnewline
161 & 0.842388 & 0.315224 & 0.157612 \tabularnewline
162 & 0.800433 & 0.399134 & 0.199567 \tabularnewline
163 & 0.735513 & 0.528973 & 0.264487 \tabularnewline
164 & 0.79416 & 0.411681 & 0.20584 \tabularnewline
165 & 0.854245 & 0.29151 & 0.145755 \tabularnewline
166 & 0.779126 & 0.441748 & 0.220874 \tabularnewline
167 & 0.986013 & 0.0279745 & 0.0139872 \tabularnewline
168 & 0.992579 & 0.0148414 & 0.0074207 \tabularnewline
169 & 0.988118 & 0.0237637 & 0.0118819 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232148&T=5

[TABLE]
[ROW][C]Goldfeld-Quandt test for Heteroskedasticity[/C][/ROW]
[ROW][C]p-values[/C][C]Alternative Hypothesis[/C][/ROW]
[ROW][C]breakpoint index[/C][C]greater[/C][C]2-sided[/C][C]less[/C][/ROW]
[ROW][C]26[/C][C]0.768917[/C][C]0.462167[/C][C]0.231083[/C][/ROW]
[ROW][C]27[/C][C]0.659457[/C][C]0.681087[/C][C]0.340543[/C][/ROW]
[ROW][C]28[/C][C]0.83889[/C][C]0.322221[/C][C]0.16111[/C][/ROW]
[ROW][C]29[/C][C]0.819211[/C][C]0.361577[/C][C]0.180789[/C][/ROW]
[ROW][C]30[/C][C]0.744855[/C][C]0.510291[/C][C]0.255145[/C][/ROW]
[ROW][C]31[/C][C]0.652651[/C][C]0.694698[/C][C]0.347349[/C][/ROW]
[ROW][C]32[/C][C]0.647177[/C][C]0.705647[/C][C]0.352823[/C][/ROW]
[ROW][C]33[/C][C]0.589879[/C][C]0.820241[/C][C]0.410121[/C][/ROW]
[ROW][C]34[/C][C]0.53898[/C][C]0.922039[/C][C]0.46102[/C][/ROW]
[ROW][C]35[/C][C]0.493055[/C][C]0.98611[/C][C]0.506945[/C][/ROW]
[ROW][C]36[/C][C]0.458026[/C][C]0.916051[/C][C]0.541974[/C][/ROW]
[ROW][C]37[/C][C]0.541254[/C][C]0.917492[/C][C]0.458746[/C][/ROW]
[ROW][C]38[/C][C]0.484988[/C][C]0.969975[/C][C]0.515012[/C][/ROW]
[ROW][C]39[/C][C]0.469605[/C][C]0.93921[/C][C]0.530395[/C][/ROW]
[ROW][C]40[/C][C]0.400787[/C][C]0.801574[/C][C]0.599213[/C][/ROW]
[ROW][C]41[/C][C]0.330798[/C][C]0.661596[/C][C]0.669202[/C][/ROW]
[ROW][C]42[/C][C]0.275062[/C][C]0.550124[/C][C]0.724938[/C][/ROW]
[ROW][C]43[/C][C]0.240308[/C][C]0.480615[/C][C]0.759692[/C][/ROW]
[ROW][C]44[/C][C]0.218688[/C][C]0.437375[/C][C]0.781312[/C][/ROW]
[ROW][C]45[/C][C]0.233025[/C][C]0.466049[/C][C]0.766975[/C][/ROW]
[ROW][C]46[/C][C]0.20125[/C][C]0.4025[/C][C]0.79875[/C][/ROW]
[ROW][C]47[/C][C]0.201809[/C][C]0.403617[/C][C]0.798191[/C][/ROW]
[ROW][C]48[/C][C]0.764205[/C][C]0.47159[/C][C]0.235795[/C][/ROW]
[ROW][C]49[/C][C]0.789731[/C][C]0.420539[/C][C]0.210269[/C][/ROW]
[ROW][C]50[/C][C]0.769294[/C][C]0.461411[/C][C]0.230706[/C][/ROW]
[ROW][C]51[/C][C]0.778906[/C][C]0.442188[/C][C]0.221094[/C][/ROW]
[ROW][C]52[/C][C]0.759609[/C][C]0.480783[/C][C]0.240391[/C][/ROW]
[ROW][C]53[/C][C]0.723469[/C][C]0.553062[/C][C]0.276531[/C][/ROW]
[ROW][C]54[/C][C]0.700875[/C][C]0.598251[/C][C]0.299125[/C][/ROW]
[ROW][C]55[/C][C]0.679165[/C][C]0.64167[/C][C]0.320835[/C][/ROW]
[ROW][C]56[/C][C]0.644421[/C][C]0.711158[/C][C]0.355579[/C][/ROW]
[ROW][C]57[/C][C]0.595713[/C][C]0.808574[/C][C]0.404287[/C][/ROW]
[ROW][C]58[/C][C]0.559459[/C][C]0.881082[/C][C]0.440541[/C][/ROW]
[ROW][C]59[/C][C]0.519005[/C][C]0.96199[/C][C]0.480995[/C][/ROW]
[ROW][C]60[/C][C]0.595056[/C][C]0.809887[/C][C]0.404944[/C][/ROW]
[ROW][C]61[/C][C]0.595058[/C][C]0.809885[/C][C]0.404942[/C][/ROW]
[ROW][C]62[/C][C]0.677482[/C][C]0.645037[/C][C]0.322518[/C][/ROW]
[ROW][C]63[/C][C]0.68399[/C][C]0.632019[/C][C]0.31601[/C][/ROW]
[ROW][C]64[/C][C]0.668795[/C][C]0.662409[/C][C]0.331205[/C][/ROW]
[ROW][C]65[/C][C]0.758045[/C][C]0.48391[/C][C]0.241955[/C][/ROW]
[ROW][C]66[/C][C]0.781033[/C][C]0.437933[/C][C]0.218967[/C][/ROW]
[ROW][C]67[/C][C]0.799696[/C][C]0.400608[/C][C]0.200304[/C][/ROW]
[ROW][C]68[/C][C]0.784104[/C][C]0.431792[/C][C]0.215896[/C][/ROW]
[ROW][C]69[/C][C]0.817639[/C][C]0.364723[/C][C]0.182361[/C][/ROW]
[ROW][C]70[/C][C]0.789232[/C][C]0.421536[/C][C]0.210768[/C][/ROW]
[ROW][C]71[/C][C]0.764509[/C][C]0.470982[/C][C]0.235491[/C][/ROW]
[ROW][C]72[/C][C]0.749028[/C][C]0.501944[/C][C]0.250972[/C][/ROW]
[ROW][C]73[/C][C]0.728674[/C][C]0.542652[/C][C]0.271326[/C][/ROW]
[ROW][C]74[/C][C]0.687358[/C][C]0.625284[/C][C]0.312642[/C][/ROW]
[ROW][C]75[/C][C]0.687676[/C][C]0.624648[/C][C]0.312324[/C][/ROW]
[ROW][C]76[/C][C]0.753937[/C][C]0.492127[/C][C]0.246063[/C][/ROW]
[ROW][C]77[/C][C]0.738177[/C][C]0.523646[/C][C]0.261823[/C][/ROW]
[ROW][C]78[/C][C]0.781966[/C][C]0.436069[/C][C]0.218034[/C][/ROW]
[ROW][C]79[/C][C]0.818518[/C][C]0.362965[/C][C]0.181482[/C][/ROW]
[ROW][C]80[/C][C]0.827502[/C][C]0.344996[/C][C]0.172498[/C][/ROW]
[ROW][C]81[/C][C]0.796805[/C][C]0.406389[/C][C]0.203195[/C][/ROW]
[ROW][C]82[/C][C]0.761815[/C][C]0.47637[/C][C]0.238185[/C][/ROW]
[ROW][C]83[/C][C]0.751171[/C][C]0.497658[/C][C]0.248829[/C][/ROW]
[ROW][C]84[/C][C]0.868671[/C][C]0.262659[/C][C]0.131329[/C][/ROW]
[ROW][C]85[/C][C]0.86539[/C][C]0.26922[/C][C]0.13461[/C][/ROW]
[ROW][C]86[/C][C]0.868246[/C][C]0.263507[/C][C]0.131754[/C][/ROW]
[ROW][C]87[/C][C]0.843096[/C][C]0.313809[/C][C]0.156904[/C][/ROW]
[ROW][C]88[/C][C]0.837313[/C][C]0.325373[/C][C]0.162687[/C][/ROW]
[ROW][C]89[/C][C]0.843482[/C][C]0.313037[/C][C]0.156518[/C][/ROW]
[ROW][C]90[/C][C]0.829625[/C][C]0.340751[/C][C]0.170375[/C][/ROW]
[ROW][C]91[/C][C]0.837099[/C][C]0.325801[/C][C]0.162901[/C][/ROW]
[ROW][C]92[/C][C]0.826807[/C][C]0.346387[/C][C]0.173193[/C][/ROW]
[ROW][C]93[/C][C]0.80046[/C][C]0.399081[/C][C]0.19954[/C][/ROW]
[ROW][C]94[/C][C]0.771691[/C][C]0.456618[/C][C]0.228309[/C][/ROW]
[ROW][C]95[/C][C]0.735035[/C][C]0.52993[/C][C]0.264965[/C][/ROW]
[ROW][C]96[/C][C]0.716041[/C][C]0.567918[/C][C]0.283959[/C][/ROW]
[ROW][C]97[/C][C]0.781799[/C][C]0.436403[/C][C]0.218201[/C][/ROW]
[ROW][C]98[/C][C]0.789112[/C][C]0.421776[/C][C]0.210888[/C][/ROW]
[ROW][C]99[/C][C]0.832498[/C][C]0.335003[/C][C]0.167502[/C][/ROW]
[ROW][C]100[/C][C]0.81592[/C][C]0.36816[/C][C]0.18408[/C][/ROW]
[ROW][C]101[/C][C]0.844309[/C][C]0.311382[/C][C]0.155691[/C][/ROW]
[ROW][C]102[/C][C]0.829892[/C][C]0.340215[/C][C]0.170108[/C][/ROW]
[ROW][C]103[/C][C]0.824398[/C][C]0.351204[/C][C]0.175602[/C][/ROW]
[ROW][C]104[/C][C]0.876649[/C][C]0.246703[/C][C]0.123351[/C][/ROW]
[ROW][C]105[/C][C]0.928429[/C][C]0.143142[/C][C]0.0715712[/C][/ROW]
[ROW][C]106[/C][C]0.912433[/C][C]0.175135[/C][C]0.0875674[/C][/ROW]
[ROW][C]107[/C][C]0.89699[/C][C]0.206019[/C][C]0.10301[/C][/ROW]
[ROW][C]108[/C][C]0.875885[/C][C]0.248229[/C][C]0.124115[/C][/ROW]
[ROW][C]109[/C][C]0.868725[/C][C]0.262551[/C][C]0.131275[/C][/ROW]
[ROW][C]110[/C][C]0.894537[/C][C]0.210925[/C][C]0.105463[/C][/ROW]
[ROW][C]111[/C][C]0.873558[/C][C]0.252885[/C][C]0.126442[/C][/ROW]
[ROW][C]112[/C][C]0.884339[/C][C]0.231322[/C][C]0.115661[/C][/ROW]
[ROW][C]113[/C][C]0.878622[/C][C]0.242756[/C][C]0.121378[/C][/ROW]
[ROW][C]114[/C][C]0.878733[/C][C]0.242534[/C][C]0.121267[/C][/ROW]
[ROW][C]115[/C][C]0.87483[/C][C]0.250341[/C][C]0.12517[/C][/ROW]
[ROW][C]116[/C][C]0.878407[/C][C]0.243186[/C][C]0.121593[/C][/ROW]
[ROW][C]117[/C][C]0.86374[/C][C]0.272521[/C][C]0.13626[/C][/ROW]
[ROW][C]118[/C][C]0.842501[/C][C]0.314999[/C][C]0.157499[/C][/ROW]
[ROW][C]119[/C][C]0.816078[/C][C]0.367844[/C][C]0.183922[/C][/ROW]
[ROW][C]120[/C][C]0.797754[/C][C]0.404493[/C][C]0.202246[/C][/ROW]
[ROW][C]121[/C][C]0.79061[/C][C]0.41878[/C][C]0.20939[/C][/ROW]
[ROW][C]122[/C][C]0.798686[/C][C]0.402627[/C][C]0.201314[/C][/ROW]
[ROW][C]123[/C][C]0.776871[/C][C]0.446258[/C][C]0.223129[/C][/ROW]
[ROW][C]124[/C][C]0.791527[/C][C]0.416947[/C][C]0.208473[/C][/ROW]
[ROW][C]125[/C][C]0.829361[/C][C]0.341278[/C][C]0.170639[/C][/ROW]
[ROW][C]126[/C][C]0.843693[/C][C]0.312614[/C][C]0.156307[/C][/ROW]
[ROW][C]127[/C][C]0.861264[/C][C]0.277472[/C][C]0.138736[/C][/ROW]
[ROW][C]128[/C][C]0.937924[/C][C]0.124151[/C][C]0.0620756[/C][/ROW]
[ROW][C]129[/C][C]0.937352[/C][C]0.125295[/C][C]0.0626476[/C][/ROW]
[ROW][C]130[/C][C]0.938348[/C][C]0.123305[/C][C]0.0616523[/C][/ROW]
[ROW][C]131[/C][C]0.923033[/C][C]0.153935[/C][C]0.0769674[/C][/ROW]
[ROW][C]132[/C][C]0.908005[/C][C]0.183989[/C][C]0.0919947[/C][/ROW]
[ROW][C]133[/C][C]0.889214[/C][C]0.221573[/C][C]0.110786[/C][/ROW]
[ROW][C]134[/C][C]0.886173[/C][C]0.227654[/C][C]0.113827[/C][/ROW]
[ROW][C]135[/C][C]0.889499[/C][C]0.221002[/C][C]0.110501[/C][/ROW]
[ROW][C]136[/C][C]0.863458[/C][C]0.273084[/C][C]0.136542[/C][/ROW]
[ROW][C]137[/C][C]0.83738[/C][C]0.32524[/C][C]0.16262[/C][/ROW]
[ROW][C]138[/C][C]0.802764[/C][C]0.394473[/C][C]0.197236[/C][/ROW]
[ROW][C]139[/C][C]0.761349[/C][C]0.477303[/C][C]0.238651[/C][/ROW]
[ROW][C]140[/C][C]0.727983[/C][C]0.544034[/C][C]0.272017[/C][/ROW]
[ROW][C]141[/C][C]0.82189[/C][C]0.356219[/C][C]0.17811[/C][/ROW]
[ROW][C]142[/C][C]0.821604[/C][C]0.356792[/C][C]0.178396[/C][/ROW]
[ROW][C]143[/C][C]0.84839[/C][C]0.303219[/C][C]0.15161[/C][/ROW]
[ROW][C]144[/C][C]0.81572[/C][C]0.368559[/C][C]0.18428[/C][/ROW]
[ROW][C]145[/C][C]0.776213[/C][C]0.447573[/C][C]0.223787[/C][/ROW]
[ROW][C]146[/C][C]0.811365[/C][C]0.37727[/C][C]0.188635[/C][/ROW]
[ROW][C]147[/C][C]0.773499[/C][C]0.453002[/C][C]0.226501[/C][/ROW]
[ROW][C]148[/C][C]0.730404[/C][C]0.539193[/C][C]0.269596[/C][/ROW]
[ROW][C]149[/C][C]0.679532[/C][C]0.640936[/C][C]0.320468[/C][/ROW]
[ROW][C]150[/C][C]0.633002[/C][C]0.733996[/C][C]0.366998[/C][/ROW]
[ROW][C]151[/C][C]0.596972[/C][C]0.806056[/C][C]0.403028[/C][/ROW]
[ROW][C]152[/C][C]0.676179[/C][C]0.647643[/C][C]0.323821[/C][/ROW]
[ROW][C]153[/C][C]0.780915[/C][C]0.438171[/C][C]0.219085[/C][/ROW]
[ROW][C]154[/C][C]0.748808[/C][C]0.502384[/C][C]0.251192[/C][/ROW]
[ROW][C]155[/C][C]0.814979[/C][C]0.370042[/C][C]0.185021[/C][/ROW]
[ROW][C]156[/C][C]0.86718[/C][C]0.26564[/C][C]0.13282[/C][/ROW]
[ROW][C]157[/C][C]0.877065[/C][C]0.24587[/C][C]0.122935[/C][/ROW]
[ROW][C]158[/C][C]0.872929[/C][C]0.254141[/C][C]0.127071[/C][/ROW]
[ROW][C]159[/C][C]0.829653[/C][C]0.340693[/C][C]0.170347[/C][/ROW]
[ROW][C]160[/C][C]0.767359[/C][C]0.465282[/C][C]0.232641[/C][/ROW]
[ROW][C]161[/C][C]0.842388[/C][C]0.315224[/C][C]0.157612[/C][/ROW]
[ROW][C]162[/C][C]0.800433[/C][C]0.399134[/C][C]0.199567[/C][/ROW]
[ROW][C]163[/C][C]0.735513[/C][C]0.528973[/C][C]0.264487[/C][/ROW]
[ROW][C]164[/C][C]0.79416[/C][C]0.411681[/C][C]0.20584[/C][/ROW]
[ROW][C]165[/C][C]0.854245[/C][C]0.29151[/C][C]0.145755[/C][/ROW]
[ROW][C]166[/C][C]0.779126[/C][C]0.441748[/C][C]0.220874[/C][/ROW]
[ROW][C]167[/C][C]0.986013[/C][C]0.0279745[/C][C]0.0139872[/C][/ROW]
[ROW][C]168[/C][C]0.992579[/C][C]0.0148414[/C][C]0.0074207[/C][/ROW]
[ROW][C]169[/C][C]0.988118[/C][C]0.0237637[/C][C]0.0118819[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=232148&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232148&T=5

As an alternative you can also use a QR Code:

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

Goldfeld-Quandt test for Heteroskedasticity
p-values	Alternative Hypothesis
breakpoint index	greater	2-sided	less
26	0.768917	0.462167	0.231083
27	0.659457	0.681087	0.340543
28	0.83889	0.322221	0.16111
29	0.819211	0.361577	0.180789
30	0.744855	0.510291	0.255145
31	0.652651	0.694698	0.347349
32	0.647177	0.705647	0.352823
33	0.589879	0.820241	0.410121
34	0.53898	0.922039	0.46102
35	0.493055	0.98611	0.506945
36	0.458026	0.916051	0.541974
37	0.541254	0.917492	0.458746
38	0.484988	0.969975	0.515012
39	0.469605	0.93921	0.530395
40	0.400787	0.801574	0.599213
41	0.330798	0.661596	0.669202
42	0.275062	0.550124	0.724938
43	0.240308	0.480615	0.759692
44	0.218688	0.437375	0.781312
45	0.233025	0.466049	0.766975
46	0.20125	0.4025	0.79875
47	0.201809	0.403617	0.798191
48	0.764205	0.47159	0.235795
49	0.789731	0.420539	0.210269
50	0.769294	0.461411	0.230706
51	0.778906	0.442188	0.221094
52	0.759609	0.480783	0.240391
53	0.723469	0.553062	0.276531
54	0.700875	0.598251	0.299125
55	0.679165	0.64167	0.320835
56	0.644421	0.711158	0.355579
57	0.595713	0.808574	0.404287
58	0.559459	0.881082	0.440541
59	0.519005	0.96199	0.480995
60	0.595056	0.809887	0.404944
61	0.595058	0.809885	0.404942
62	0.677482	0.645037	0.322518
63	0.68399	0.632019	0.31601
64	0.668795	0.662409	0.331205
65	0.758045	0.48391	0.241955
66	0.781033	0.437933	0.218967
67	0.799696	0.400608	0.200304
68	0.784104	0.431792	0.215896
69	0.817639	0.364723	0.182361
70	0.789232	0.421536	0.210768
71	0.764509	0.470982	0.235491
72	0.749028	0.501944	0.250972
73	0.728674	0.542652	0.271326
74	0.687358	0.625284	0.312642
75	0.687676	0.624648	0.312324
76	0.753937	0.492127	0.246063
77	0.738177	0.523646	0.261823
78	0.781966	0.436069	0.218034
79	0.818518	0.362965	0.181482
80	0.827502	0.344996	0.172498
81	0.796805	0.406389	0.203195
82	0.761815	0.47637	0.238185
83	0.751171	0.497658	0.248829
84	0.868671	0.262659	0.131329
85	0.86539	0.26922	0.13461
86	0.868246	0.263507	0.131754
87	0.843096	0.313809	0.156904
88	0.837313	0.325373	0.162687
89	0.843482	0.313037	0.156518
90	0.829625	0.340751	0.170375
91	0.837099	0.325801	0.162901
92	0.826807	0.346387	0.173193
93	0.80046	0.399081	0.19954
94	0.771691	0.456618	0.228309
95	0.735035	0.52993	0.264965
96	0.716041	0.567918	0.283959
97	0.781799	0.436403	0.218201
98	0.789112	0.421776	0.210888
99	0.832498	0.335003	0.167502
100	0.81592	0.36816	0.18408
101	0.844309	0.311382	0.155691
102	0.829892	0.340215	0.170108
103	0.824398	0.351204	0.175602
104	0.876649	0.246703	0.123351
105	0.928429	0.143142	0.0715712
106	0.912433	0.175135	0.0875674
107	0.89699	0.206019	0.10301
108	0.875885	0.248229	0.124115
109	0.868725	0.262551	0.131275
110	0.894537	0.210925	0.105463
111	0.873558	0.252885	0.126442
112	0.884339	0.231322	0.115661
113	0.878622	0.242756	0.121378
114	0.878733	0.242534	0.121267
115	0.87483	0.250341	0.12517
116	0.878407	0.243186	0.121593
117	0.86374	0.272521	0.13626
118	0.842501	0.314999	0.157499
119	0.816078	0.367844	0.183922
120	0.797754	0.404493	0.202246
121	0.79061	0.41878	0.20939
122	0.798686	0.402627	0.201314
123	0.776871	0.446258	0.223129
124	0.791527	0.416947	0.208473
125	0.829361	0.341278	0.170639
126	0.843693	0.312614	0.156307
127	0.861264	0.277472	0.138736
128	0.937924	0.124151	0.0620756
129	0.937352	0.125295	0.0626476
130	0.938348	0.123305	0.0616523
131	0.923033	0.153935	0.0769674
132	0.908005	0.183989	0.0919947
133	0.889214	0.221573	0.110786
134	0.886173	0.227654	0.113827
135	0.889499	0.221002	0.110501
136	0.863458	0.273084	0.136542
137	0.83738	0.32524	0.16262
138	0.802764	0.394473	0.197236
139	0.761349	0.477303	0.238651
140	0.727983	0.544034	0.272017
141	0.82189	0.356219	0.17811
142	0.821604	0.356792	0.178396
143	0.84839	0.303219	0.15161
144	0.81572	0.368559	0.18428
145	0.776213	0.447573	0.223787
146	0.811365	0.37727	0.188635
147	0.773499	0.453002	0.226501
148	0.730404	0.539193	0.269596
149	0.679532	0.640936	0.320468
150	0.633002	0.733996	0.366998
151	0.596972	0.806056	0.403028
152	0.676179	0.647643	0.323821
153	0.780915	0.438171	0.219085
154	0.748808	0.502384	0.251192
155	0.814979	0.370042	0.185021
156	0.86718	0.26564	0.13282
157	0.877065	0.24587	0.122935
158	0.872929	0.254141	0.127071
159	0.829653	0.340693	0.170347
160	0.767359	0.465282	0.232641
161	0.842388	0.315224	0.157612
162	0.800433	0.399134	0.199567
163	0.735513	0.528973	0.264487
164	0.79416	0.411681	0.20584
165	0.854245	0.29151	0.145755
166	0.779126	0.441748	0.220874
167	0.986013	0.0279745	0.0139872
168	0.992579	0.0148414	0.0074207
169	0.988118	0.0237637	0.0118819

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description	# significant tests	% significant tests	OK/NOK
1% type I error level	0	0	OK
5% type I error level	3	0.0208333	OK
10% type I error level	3	0.0208333	OK

\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 & 0 & 0 & OK \tabularnewline
5% type I error level & 3 & 0.0208333 & OK \tabularnewline
10% type I error level & 3 & 0.0208333 & OK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232148&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]0[/C][C]0[/C][C]OK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]3[/C][C]0.0208333[/C][C]OK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]3[/C][C]0.0208333[/C][C]OK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=232148&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232148&T=6

As an alternative you can also use a QR Code:

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

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description	# significant tests	% significant tests	OK/NOK
1% type I error level	0	0	OK
5% type I error level	3	0.0208333	OK
10% type I error level	3	0.0208333	OK

Figure 1

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Figure 2

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Figure 3

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Figure 4

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Figure 5

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Figure 6

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Figure 7

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Figure 8

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Figure 9

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Figure 10

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Parameters (Session):

par1 = 18 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;

Parameters (R input):

par1 = 18 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;

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

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

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code