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Data X:
1 119.992 157.302 74.997 0.00784 0.00007 0.0037 0.00554 0.01109 0.04374 0.426 0.02182 0.0313 0.06545 0.02211 21.033 0.414783 0.815285 -4.813031 0.266482 2.301442 0.284654 1 122.4 148.65 113.819 0.00968 0.00008 0.00465 0.00696 0.01394 0.06134 0.626 0.03134 0.04518 0.09403 0.01929 19.085 0.458359 0.819521 -4.075192 0.33559 2.486855 0.368674 1 116.682 131.111 111.555 0.0105 0.00009 0.00544 0.00781 0.01633 0.05233 0.482 0.02757 0.03858 0.0827 0.01309 20.651 0.429895 0.825288 -4.443179 0.311173 2.342259 0.332634 1 116.676 137.871 111.366 0.00997 0.00009 0.00502 0.00698 0.01505 0.05492 0.517 0.02924 0.04005 0.08771 0.01353 20.644 0.434969 0.819235 -4.117501 0.334147 2.405554 0.368975 1 116.014 141.781 110.655 0.01284 0.00011 0.00655 0.00908 0.01966 0.06425 0.584 0.0349 0.04825 0.1047 0.01767 19.649 0.417356 0.823484 -3.747787 0.234513 2.33218 0.410335 1 120.552 131.162 113.787 0.00968 0.00008 0.00463 0.0075 0.01388 0.04701 0.456 0.02328 0.03526 0.06985 0.01222 21.378 0.415564 0.825069 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0.01441 0.01893 0.04322 0.02919 20.376 0.631099 0.605417 -2.93107 0.434326 3.007463 0.430788 1 153.046 175.829 68.623 0.00742 0.00005 0.00364 0.00432 0.01092 0.05517 0.542 0.02471 0.03572 0.07413 0.0316 17.28 0.665318 0.719467 -3.949079 0.35787 3.10901 0.377429 1 156.405 189.398 142.822 0.00768 0.00005 0.00372 0.00399 0.01116 0.03995 0.348 0.01721 0.02374 0.05164 0.03365 17.153 0.649554 0.68608 -4.554466 0.340176 2.856676 0.322111 1 153.848 165.738 65.782 0.0084 0.00005 0.00428 0.0045 0.01285 0.0381 0.328 0.01667 0.02383 0.05 0.03871 17.536 0.660125 0.704087 -4.095442 0.262564 2.73971 0.365391 1 153.88 172.86 78.128 0.0048 0.00003 0.00232 0.00267 0.00696 0.04137 0.37 0.02021 0.02591 0.06062 0.01849 19.493 0.629017 0.698951 -5.18696 0.237622 2.557536 0.259765 1 167.93 193.221 79.068 0.00442 0.00003 0.0022 0.00247 0.00661 0.04351 0.377 0.02228 0.0254 0.06685 0.0128 22.468 0.61906 0.679834 -4.330956 0.262384 2.916777 0.285695 1 173.917 192.735 86.18 0.00476 0.00003 0.00221 0.00258 0.00663 0.04192 0.364 0.02187 0.0247 0.06562 0.0184 20.422 0.537264 0.686894 -5.248776 0.210279 2.547508 0.253556 1 163.656 200.841 76.779 0.00742 0.00005 0.0038 0.0039 0.0114 0.01659 0.164 0.00738 0.00948 0.02214 0.01778 23.831 0.397937 0.732479 -5.557447 0.22089 2.692176 0.215961 1 104.4 206.002 77.968 0.00633 0.00006 0.00316 0.00375 0.00948 0.03767 0.381 0.01732 0.02245 0.05197 0.02887 22.066 0.522746 0.737948 -5.571843 0.236853 2.846369 0.219514 1 171.041 208.313 75.501 0.00455 0.00003 0.0025 0.00234 0.0075 0.01966 0.186 0.00889 0.01169 0.02666 0.01095 25.908 0.418622 0.720916 -6.18359 0.226278 2.589702 0.147403 1 146.845 208.701 81.737 0.00496 0.00003 0.0025 0.00275 0.00749 0.01919 0.198 0.00883 0.01144 0.0265 0.01328 25.119 0.358773 0.726652 -6.27169 0.196102 2.314209 0.162999 1 155.358 227.383 80.055 0.0031 0.00002 0.00159 0.00176 0.00476 0.01718 0.161 0.00769 0.01012 0.02307 0.00677 25.97 0.470478 0.676258 -7.120925 0.279789 2.241742 0.108514 1 162.568 198.346 77.63 0.00502 0.00003 0.0028 0.00253 0.00841 0.01791 0.168 0.00793 0.01057 0.0238 0.0117 25.678 0.427785 0.723797 -6.635729 0.209866 1.957961 0.135242 0 197.076 206.896 192.055 0.00289 0.00001 0.00166 0.00168 0.00498 0.01098 0.097 0.00563 0.0068 0.01689 0.00339 26.775 0.422229 0.741367 -7.3483 0.177551 1.743867 0.085569 0 199.228 209.512 192.091 0.00241 0.00001 0.00134 0.00138 0.00402 0.01015 0.089 0.00504 0.00641 0.01513 0.00167 30.94 0.432439 0.742055 -7.682587 0.173319 2.103106 0.068501 0 198.383 215.203 193.104 0.00212 0.00001 0.00113 0.00135 0.00339 0.01263 0.111 0.0064 0.00825 0.01919 0.00119 30.775 0.465946 0.738703 -7.067931 0.175181 1.512275 0.09632 0 202.266 211.604 197.079 0.0018 0.000009 0.00093 0.00107 0.00278 0.00954 0.085 0.00469 0.00606 0.01407 0.00072 32.684 0.368535 0.742133 -7.695734 0.17854 1.544609 0.056141 0 203.184 211.526 196.16 0.00178 0.000009 0.00094 0.00106 0.00283 0.00958 0.085 0.00468 0.0061 0.01403 0.00065 33.047 0.340068 0.741899 -7.964984 0.163519 1.423287 0.044539 0 201.464 210.565 195.708 0.00198 0.00001 0.00105 0.00115 0.00314 0.01194 0.107 0.00586 0.0076 0.01758 0.00135 31.732 0.344252 0.742737 -7.777685 0.170183 2.447064 0.05761 1 177.876 192.921 168.013 0.00411 0.00002 0.00233 0.00241 0.007 0.02126 0.189 0.01154 0.01347 0.03463 0.00586 23.216 0.360148 0.778834 -6.149653 0.218037 2.477082 0.165827 1 176.17 185.604 163.564 0.00369 0.00002 0.00205 0.00218 0.00616 0.01851 0.168 0.00938 0.0116 0.02814 0.0034 24.951 0.341435 0.783626 -6.006414 0.196371 2.536527 0.173218 1 180.198 201.249 175.456 0.00284 0.00002 0.00153 0.00166 0.00459 0.01444 0.131 0.00726 0.00885 0.02177 0.00231 26.738 0.403884 0.766209 -6.452058 0.212294 2.269398 0.141929 1 187.733 202.324 173.015 0.00316 0.00002 0.00168 0.00182 0.00504 0.01663 0.151 0.00829 0.01003 0.02488 0.00265 26.31 0.396793 0.758324 -6.006647 0.266892 2.382544 0.160691 1 186.163 197.724 177.584 0.00298 0.00002 0.00165 0.00175 0.00496 0.01495 0.135 0.00774 0.00941 0.02321 0.00231 26.822 0.32648 0.765623 -6.647379 0.201095 2.374073 0.130554 1 184.055 196.537 166.977 0.00258 0.00001 0.00134 0.00147 0.00403 0.01463 0.132 0.00742 0.00901 0.02226 0.00257 26.453 0.306443 0.759203 -7.044105 0.063412 2.361532 0.11573 0 237.226 247.326 225.227 0.00298 0.00001 0.00169 0.00182 0.00507 0.01752 0.164 0.01035 0.01024 0.03104 0.0074 22.736 0.305062 0.654172 -7.31055 0.098648 2.416838 0.095032 0 241.404 248.834 232.483 0.00281 0.00001 0.00157 0.00173 0.0047 0.0176 0.154 0.01006 0.01038 0.03017 0.00675 23.145 0.457702 0.634267 -6.793547 0.158266 2.256699 0.117399 0 243.439 250.912 232.435 0.0021 0.000009 0.00109 0.00137 0.00327 0.01419 0.126 0.00777 0.00898 0.0233 0.00454 25.368 0.438296 0.635285 -7.057869 0.091608 2.330716 0.09147 0 242.852 255.034 227.911 0.00225 0.000009 0.00117 0.00139 0.0035 0.01494 0.134 0.00847 0.00879 0.02542 0.00476 25.032 0.431285 0.638928 -6.99582 0.102083 2.3658 0.102706 0 245.51 262.09 231.848 0.00235 0.00001 0.00127 0.00148 0.0038 0.01608 0.141 0.00906 0.00977 0.02719 0.00476 24.602 0.467489 0.631653 -7.156076 0.127642 2.392122 0.097336 0 252.455 261.487 182.786 0.00185 0.000007 0.00092 0.00113 0.00276 0.01152 0.103 0.00614 0.0073 0.01841 0.00432 26.805 0.610367 0.635204 -7.31951 0.200873 2.028612 0.086398 0 122.188 128.611 115.765 0.00524 0.00004 0.00169 0.00203 0.00507 0.01613 0.143 0.00855 0.00776 0.02566 0.00839 23.162 0.579597 0.733659 -6.439398 0.266392 2.079922 0.133867 0 122.964 130.049 114.676 0.00428 0.00003 0.00124 0.00155 0.00373 0.01681 0.154 0.0093 0.00802 0.02789 0.00462 24.971 0.538688 0.754073 -6.482096 0.264967 2.054419 0.128872 0 124.445 135.069 117.495 0.00431 0.00003 0.00141 0.00167 0.00422 0.02184 0.197 0.01241 0.01024 0.03724 0.00479 25.135 0.553134 0.775933 -6.650471 0.254498 1.840198 0.103561 0 126.344 134.231 112.773 0.00448 0.00004 0.00131 0.00169 0.00393 0.02033 0.185 0.01143 0.00959 0.03429 0.00474 25.03 0.507504 0.760361 -6.689151 0.291954 2.431854 0.105993 0 128.001 138.052 122.08 0.00436 0.00003 0.00137 0.00166 0.00411 0.02297 0.21 0.01323 0.01072 0.03969 0.00481 24.692 0.459766 0.766204 -7.072419 0.220434 1.972297 0.119308 0 129.336 139.867 118.604 0.0049 0.00004 0.00165 0.00183 0.00495 0.02498 0.228 0.01396 0.01219 0.04188 0.00484 25.429 0.420383 0.785714 -6.836811 0.269866 2.223719 0.147491 1 108.807 134.656 102.874 0.00761 0.00007 0.00349 0.00486 0.01046 0.02719 0.255 0.01483 0.01609 0.0445 0.01036 21.028 0.536009 0.819032 -4.649573 0.205558 1.986899 0.3167 1 109.86 126.358 104.437 0.00874 0.00008 0.00398 0.00539 0.01193 0.03209 0.307 0.01789 0.01992 0.05368 0.0118 20.767 0.558586 0.811843 -4.333543 0.221727 2.014606 0.344834 1 110.417 131.067 103.37 0.00784 0.00007 0.00352 0.00514 0.01056 0.03715 0.334 0.02032 0.02302 0.06097 0.00969 21.422 0.541781 0.821364 -4.438453 0.238298 1.92294 0.335041 1 117.274 129.916 110.402 0.00752 0.00006 0.00299 0.00469 0.00898 0.02293 0.221 0.01189 0.01459 0.03568 0.00681 22.817 0.530529 0.817756 -4.60826 0.290024 2.021591 0.314464 1 116.879 131.897 108.153 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0.01792 0.01841 0.05377 0.01825 19.659 0.576084 0.778747 -5.132032 0.210458 2.232576 0.260633 1 100.96 110.019 95.628 0.00606 0.00006 0.00351 0.00348 0.01053 0.02427 0.216 0.01371 0.01421 0.04114 0.01237 20.536 0.55461 0.787896 -5.022288 0.146948 2.428306 0.264666 1 98.804 102.305 87.804 0.00432 0.00004 0.00247 0.00258 0.00742 0.02223 0.202 0.01277 0.01343 0.03831 0.00882 22.244 0.576644 0.772416 -6.025367 0.078202 2.053601 0.177275 1 176.858 205.56 75.344 0.00747 0.00004 0.00418 0.0042 0.01254 0.04795 0.435 0.02679 0.03022 0.08037 0.0547 13.893 0.556494 0.729586 -5.288912 0.343073 3.099301 0.242119 1 180.978 200.125 155.495 0.00406 0.00002 0.0022 0.00244 0.00659 0.03852 0.331 0.02107 0.02493 0.06321 0.02782 16.176 0.583574 0.727747 -5.657899 0.315903 3.098256 0.200423 1 178.222 202.45 141.047 0.00321 0.00002 0.00163 0.00194 0.00488 0.03759 0.327 0.02073 0.02415 0.06219 0.03151 15.924 0.598714 0.712199 -6.366916 0.335753 2.654271 0.144614 1 176.281 227.381 125.61 0.0052 0.00003 0.00287 0.00312 0.00862 0.06511 0.58 0.03671 0.04159 0.11012 0.04824 13.922 0.602874 0.740837 -5.515071 0.299549 3.13655 0.220968 1 173.898 211.35 74.677 0.00448 0.00003 0.00237 0.00254 0.0071 0.06727 0.65 0.03788 0.04254 0.11363 0.04214 14.739 0.599371 0.743937 -5.783272 0.299793 3.007096 0.194052 1 179.711 225.93 144.878 0.00709 0.00004 0.00391 0.00419 0.01172 0.04313 0.442 0.02297 0.02768 0.06892 0.07223 11.866 0.590951 0.745526 -4.379411 0.375531 3.671155 0.332086 1 166.605 206.008 78.032 0.00742 0.00004 0.00387 0.00453 0.01161 0.0664 0.634 0.0365 0.04282 0.10949 0.08725 11.744 0.65341 0.733165 -4.508984 0.389232 3.317586 0.301952 1 151.955 163.335 147.226 0.00419 0.00003 0.00224 0.00227 0.00672 0.07959 0.772 0.04421 0.04962 0.13262 0.01658 19.664 0.501037 0.71436 -6.411497 0.207156 2.344876 0.13412 1 148.272 164.989 142.299 0.00459 0.00003 0.0025 0.00256 0.0075 0.0419 0.383 0.02383 0.02521 0.0715 0.01914 18.78 0.454444 0.734504 -5.952058 0.08784 2.344336 0.186489 1 152.125 161.469 76.596 0.00382 0.00003 0.00191 0.00226 0.00574 0.05925 0.637 0.03341 0.03794 0.10024 0.01211 20.969 0.447456 0.69779 -6.152551 0.17352 2.080121 0.160809 1 157.821 172.975 68.401 0.00358 0.00002 0.00196 0.00196 0.00587 0.03716 0.307 0.02062 0.02321 0.06185 0.0085 22.219 0.50238 0.71217 -6.251425 0.188056 2.143851 0.160812 1 157.447 163.267 149.605 0.00369 0.00002 0.00201 0.00197 0.00602 0.03272 0.283 0.01813 0.01909 0.05439 0.01018 21.693 0.447285 0.705658 -6.247076 0.180528 2.344348 0.164916 1 159.116 168.913 144.811 0.00342 0.00002 0.00178 0.00184 0.00535 0.03381 0.307 0.01806 0.02024 0.05417 0.00852 22.663 0.366329 0.693429 -6.41744 0.194627 2.473239 0.151709 1 125.036 143.946 116.187 0.0128 0.0001 0.00743 0.00623 0.02228 0.03886 0.342 0.02135 0.02174 0.06406 0.08151 15.338 0.629574 0.714485 -4.020042 0.265315 2.671825 0.340623 1 125.791 140.557 96.206 0.01378 0.00011 0.00826 0.00655 0.02478 0.04689 0.422 0.02542 0.0263 0.07625 0.10323 15.433 0.57101 0.690892 -5.159169 0.202146 2.441612 0.260375 1 126.512 141.756 99.77 0.01936 0.00015 0.01159 0.0099 0.03476 0.06734 0.659 0.03611 0.03963 0.10833 0.16744 12.435 0.638545 0.674953 -3.760348 0.242861 2.634633 0.378483 1 125.641 141.068 116.346 0.03316 0.00026 0.02144 0.01522 0.06433 0.09178 0.891 0.05358 0.04791 0.16074 0.31482 8.867 0.671299 0.656846 -3.700544 0.260481 2.991063 0.370961 1 128.451 150.449 75.632 0.01551 0.00012 0.00905 0.00909 0.02716 0.0617 0.584 0.03223 0.03672 0.09669 0.11843 15.06 0.639808 0.643327 -4.20273 0.310163 2.638279 0.356881 1 139.224 586.567 66.157 0.03011 0.00022 0.01854 0.01628 0.05563 0.09419 0.93 0.05551 0.05005 0.16654 0.2593 10.489 0.596362 0.641418 -3.269487 0.270641 2.690917 0.444774 1 150.258 154.609 75.349 0.00248 0.00002 0.00105 0.00136 0.00315 0.01131 0.107 0.00522 0.00659 0.01567 0.00495 26.759 0.296888 0.722356 -6.878393 0.089267 2.004055 0.113942 1 154.003 160.267 128.621 0.00183 0.00001 0.00076 0.001 0.00229 0.0103 0.094 0.00469 0.00582 0.01406 0.00243 28.409 0.263654 0.691483 -7.111576 0.14478 2.065477 0.093193 1 149.689 160.368 133.608 0.00257 0.00002 0.00116 0.00134 0.00349 0.01346 0.126 0.0066 0.00818 0.01979 0.00578 27.421 0.365488 0.719974 -6.997403 0.210279 1.994387 0.112878 1 155.078 163.736 144.148 0.00168 0.00001 0.00068 0.00092 0.00204 0.01064 0.097 0.00522 0.00632 0.01567 0.00233 29.746 0.334171 0.67793 -6.981201 0.18455 2.129924 0.106802 1 151.884 157.765 133.751 0.00258 0.00002 0.00115 0.00122 0.00346 0.0145 0.137 0.00633 0.00788 0.01898 0.00659 26.833 0.393563 0.700246 -6.600023 0.249172 2.499148 0.105306 1 151.989 157.339 132.857 0.00174 0.00001 0.00075 0.00096 0.00225 0.01024 0.093 0.00455 0.00576 0.01364 0.00238 29.928 0.311369 0.676066 -6.739151 0.160686 2.296873 0.11513 1 193.03 208.9 80.297 0.00766 0.00004 0.0045 0.00389 0.01351 0.03044 0.275 0.01771 0.01815 0.05312 0.00947 21.934 0.497554 0.740539 -5.845099 0.278679 2.608749 0.185668 1 200.714 223.982 89.686 0.00621 0.00003 0.00371 0.00337 0.01112 0.02286 0.207 0.01192 0.01439 0.03576 0.00704 23.239 0.436084 0.727863 -5.25832 0.256454 2.550961 0.23252 1 208.519 220.315 199.02 0.00609 0.00003 0.00368 0.00339 0.01105 0.01761 0.155 0.00952 0.01058 0.02855 0.0083 22.407 0.338097 0.712466 -6.471427 0.184378 2.502336 0.13639 1 204.664 221.3 189.621 0.00841 0.00004 0.00502 0.00485 0.01506 0.02378 0.21 0.01277 0.01483 0.03831 0.01316 21.305 0.498877 0.722085 -4.876336 0.212054 2.376749 0.268144 1 210.141 232.706 185.258 0.00534 0.00003 0.00321 0.0028 0.00964 0.0168 0.149 0.00861 0.01017 0.02583 0.0062 23.671 0.441097 0.722254 -5.96304 0.250283 2.489191 0.177807 1 206.327 226.355 92.02 0.00495 0.00002 0.00302 0.00246 0.00905 0.02105 0.209 0.01107 0.01284 0.0332 0.01048 21.864 0.331508 0.715121 -6.729713 0.181701 2.938114 0.115515 1 151.872 492.892 69.085 0.00856 0.00006 0.00404 0.00385 0.01211 0.01843 0.235 0.00796 0.00832 0.02389 0.06051 23.693 0.407701 0.662668 -4.673241 0.261549 2.702355 0.274407 1 158.219 442.557 71.948 0.00476 0.00003 0.00214 0.00207 0.00642 0.01458 0.148 0.00606 0.00747 0.01818 0.01554 26.356 0.450798 0.653823 -6.051233 0.27328 2.640798 0.170106 1 170.756 450.247 79.032 0.00555 0.00003 0.00244 0.00261 0.00731 0.01725 0.175 0.00757 0.00971 0.0227 0.01802 25.69 0.486738 0.676023 -4.597834 0.372114 2.975889 0.28278 1 178.285 442.824 82.063 0.00462 0.00003 0.00157 0.00194 0.00472 0.01279 0.129 0.00617 0.00744 0.01851 0.00856 25.02 0.470422 0.655239 -4.913137 0.393056 2.816781 0.251972 1 217.116 233.481 93.978 0.00404 0.00002 0.00127 0.00128 0.00381 0.01299 0.124 0.00679 0.00631 0.02038 0.00681 24.581 0.462516 0.58271 -5.517173 0.389295 2.925862 0.220657 1 128.94 479.697 88.251 0.00581 0.00005 0.00241 0.00314 0.00723 0.02008 0.221 0.00849 0.01117 0.02548 0.0235 24.743 0.487756 0.68413 -6.186128 0.279933 2.68624 0.152428 1 176.824 215.293 83.961 0.0046 0.00003 0.00209 0.00221 0.00628 0.01169 0.117 0.00534 0.0063 0.01603 0.01161 27.166 0.400088 0.656182 -4.711007 0.281618 2.655744 0.234809 1 138.19 203.522 83.34 0.00704 0.00005 0.00406 0.00398 0.01218 0.04479 0.441 0.02587 0.02567 0.07761 0.01968 18.305 0.538016 0.74148 -5.418787 0.160267 2.090438 0.229892 1 182.018 197.173 79.187 0.00842 0.00005 0.00506 0.00449 0.01517 0.02503 0.231 0.01372 0.0158 0.04115 0.01813 18.784 0.589956 0.732903 -5.44514 0.142466 2.174306 0.215558 1 156.239 195.107 79.82 0.00694 0.00004 0.00403 0.00395 0.01209 0.02343 0.224 0.01289 0.0142 0.03867 0.0202 19.196 0.618663 0.728421 -5.944191 0.143359 1.929715 0.181988 1 145.174 198.109 80.637 0.00733 0.00005 0.00414 0.00422 0.01242 0.02362 0.233 0.01235 0.01495 0.03706 0.01874 18.857 0.637518 0.735546 -5.594275 0.12795 1.765957 0.222716 1 138.145 197.238 81.114 0.00544 0.00004 0.00294 0.00327 0.00883 0.02791 0.246 0.01484 0.01805 0.04451 0.01794 18.178 0.623209 0.738245 -5.540351 0.087165 1.821297 0.214075 1 166.888 198.966 79.512 0.00638 0.00004 0.00368 0.00351 0.01104 0.02857 0.257 0.01547 0.01859 0.04641 0.01796 18.33 0.585169 0.736964 -5.825257 0.115697 1.996146 0.196535 1 119.031 127.533 109.216 0.0044 0.00004 0.00214 0.00192 0.00641 0.01033 0.098 0.00538 0.0057 0.01614 0.01724 26.842 0.457541 0.699787 -6.890021 0.152941 2.328513 0.112856 1 120.078 126.632 105.667 0.0027 0.00002 0.00116 0.00135 0.00349 0.01022 0.09 0.00476 0.00588 0.01428 0.00487 26.369 0.491345 0.718839 -5.892061 0.195976 2.108873 0.183572 1 120.289 128.143 100.209 0.00492 0.00004 0.00269 0.00238 0.00808 0.01412 0.125 0.00703 0.0082 0.0211 0.0161 23.949 0.46716 0.724045 -6.135296 0.20363 2.539724 0.169923 1 120.256 125.306 104.773 0.00407 0.00003 0.00224 0.00205 0.00671 0.01516 0.138 0.00721 0.00815 0.02164 0.01015 26.017 0.468621 0.735136 -6.112667 0.217013 2.527742 0.170633 1 119.056 125.213 86.795 0.00346 0.00003 0.00169 0.0017 0.00508 0.01201 0.106 0.00633 0.00701 0.01898 0.00903 23.389 0.470972 0.721308 -5.436135 0.254909 2.51632 0.232209 1 118.747 123.723 109.836 0.00331 0.00003 0.00168 0.00171 0.00504 0.01043 0.099 0.0049 0.00621 0.01471 0.00504 25.619 0.482296 0.723096 -6.448134 0.178713 2.034827 0.141422 1 106.516 112.777 93.105 0.00589 0.00006 0.00291 0.00319 0.00873 0.04932 0.441 0.02683 0.03112 0.0805 0.03031 17.06 0.637814 0.744064 -5.301321 0.320385 2.375138 0.24308 1 110.453 127.611 105.554 0.00494 0.00004 0.00244 0.00315 0.00731 0.04128 0.379 0.02229 0.02592 0.06688 0.02529 17.707 0.653427 0.706687 -5.333619 0.322044 2.631793 0.228319 1 113.4 133.344 107.816 0.00451 0.00004 0.00219 0.00283 0.00658 0.04879 0.431 0.02385 0.02973 0.07154 0.02278 19.013 0.6479 0.708144 -4.378916 0.300067 2.445502 0.259451 1 113.166 130.27 100.673 0.00502 0.00004 0.00257 0.00312 0.00772 0.05279 0.476 0.02896 0.03347 0.08689 0.0369 16.747 0.625362 0.708617 -4.654894 0.304107 2.672362 0.274387 1 112.239 126.609 104.095 0.00472 0.00004 0.00238 0.0029 0.00715 0.05643 0.517 0.0307 0.0353 0.09211 0.02629 17.366 0.640945 0.701404 -5.634576 0.306014 2.419253 0.209191 1 116.15 131.731 109.815 0.00381 0.00003 0.00181 0.00232 0.00542 0.03026 0.267 0.01514 0.01812 0.04543 0.01827 18.801 0.624811 0.696049 -5.866357 0.23307 2.445646 0.184985 1 170.368 268.796 79.543 0.00571 0.00003 0.00232 0.00269 0.00696 0.03273 0.281 0.01713 0.01964 0.05139 0.02485 18.54 0.677131 0.685057 -4.796845 0.397749 2.963799 0.277227 1 208.083 253.792 91.802 0.00757 0.00004 0.00428 0.00428 0.01285 0.06725 0.571 0.04016 0.04003 0.12047 0.04238 15.648 0.606344 0.665945 -5.410336 0.288917 2.665133 0.231723 1 198.458 219.29 148.691 0.00376 0.00002 0.00182 0.00215 0.00546 0.03527 0.297 0.02055 0.02076 0.06165 0.01728 18.702 0.606273 0.661735 -5.585259 0.310746 2.465528 0.209863 1 202.805 231.508 86.232 0.0037 0.00002 0.00189 0.00211 0.00568 0.01997 0.18 0.01117 0.01177 0.0335 0.0201 18.687 0.536102 0.632631 -5.898673 0.213353 2.470746 0.189032 1 202.544 241.35 164.168 0.00254 0.00001 0.001 0.00133 0.00301 0.02662 0.228 0.01475 0.01558 0.04426 0.01049 20.68 0.49748 0.630409 -6.132663 0.220617 2.576563 0.159777 1 223.361 263.872 87.638 0.00352 0.00002 0.00169 0.00188 0.00506 0.02536 0.225 0.01379 0.01478 0.04137 0.01493 20.366 0.566849 0.574282 -5.456811 0.345238 2.840556 0.232861 1 169.774 191.759 151.451 0.01568 0.00009 0.00863 0.00946 0.02589 0.08143 0.821 0.03804 0.05426 0.11411 0.0753 12.359 0.56161 0.793509 -3.297668 0.414758 3.413649 0.457533 1 183.52 216.814 161.34 0.01466 0.00008 0.00849 0.00819 0.02546 0.0605 0.618 0.02865 0.04101 0.08595 0.06057 14.367 0.478024 0.768974 -4.276605 0.355736 3.142364 0.336085 1 188.62 216.302 165.982 0.01719 0.00009 0.00996 0.01027 0.02987 0.07118 0.722 0.03474 0.0458 0.10422 0.08069 12.298 0.55287 0.764036 -3.377325 0.335357 3.274865 0.418646 1 202.632 565.74 177.258 0.01627 0.00008 0.00919 0.00963 0.02756 0.0717 0.833 0.03515 0.04265 0.10546 0.07889 14.989 0.427627 0.775708 -4.892495 0.262281 2.910213 0.270173 1 186.695 211.961 149.442 0.01872 0.0001 0.01075 0.01154 0.03225 0.0583 0.784 0.02699 0.03714 0.08096 0.10952 12.529 0.507826 0.762726 -4.484303 0.340256 2.958815 0.301487 1 192.818 224.429 168.793 0.03107 0.00016 0.018 0.01958 0.05401 0.11908 1.302 0.05647 0.0794 0.16942 0.21713 8.441 0.625866 0.76832 -2.434031 0.450493 3.079221 0.527367 1 198.116 233.099 174.478 0.02714 0.00014 0.01568 0.01699 0.04705 0.08684 1.018 0.04284 0.05556 0.12851 0.16265 9.449 0.584164 0.754449 -2.839756 0.356224 3.184027 0.454721 1 121.345 139.644 98.25 0.00684 0.00006 0.00388 0.00332 0.01164 0.02534 0.241 0.0134 0.01399 0.04019 0.04179 21.52 0.566867 0.670475 -4.865194 0.246404 2.01353 0.168581 1 119.1 128.442 88.833 0.00692 0.00006 0.00393 0.003 0.01179 0.02682 0.236 0.01484 0.01405 0.04451 0.04611 21.824 0.65168 0.659333 -4.239028 0.175691 2.45113 0.247455 1 117.87 127.349 95.654 0.00647 0.00005 0.00356 0.003 0.01067 0.03087 0.276 0.01659 0.01804 0.04977 0.02631 22.431 0.6283 0.652025 -3.583722 0.207914 2.439597 0.206256 1 122.336 142.369 94.794 0.00727 0.00006 0.00415 0.00339 0.01246 0.02293 0.223 0.01205 0.01289 0.03615 0.03191 22.953 0.611679 0.623731 -5.4351 0.230532 2.699645 0.220546 1 117.963 134.209 100.757 0.01813 0.00015 0.01117 0.00718 0.03351 0.04912 0.438 0.0261 0.02161 0.0783 0.10748 19.075 0.630547 0.646786 -3.444478 0.303214 2.964568 0.261305 1 126.144 154.284 97.543 0.00975 0.00008 0.00593 0.00454 0.01778 0.02852 0.266 0.015 0.01581 0.04499 0.03828 21.534 0.635015 0.627337 -5.070096 0.280091 2.8923 0.249703 1 127.93 138.752 112.173 0.00605 0.00005 0.00321 0.00318 0.00962 0.03235 0.339 0.0136 0.0165 0.04079 0.02663 19.651 0.654945 0.675865 -5.498456 0.234196 2.103014 0.216638 1 114.238 124.393 77.022 0.00581 0.00005 0.00299 0.00316 0.00896 0.04009 0.406 0.01579 0.01994 0.04736 0.02073 20.437 0.653139 0.694571 -5.185987 0.259229 2.151121 0.244948 1 115.322 135.738 107.802 0.00619 0.00005 0.00352 0.00329 0.01057 0.03273 0.325 0.01644 0.01722 0.04933 0.0281 19.388 0.577802 0.684373 -5.283009 0.226528 2.442906 0.238281 1 114.554 126.778 91.121 0.00651 0.00006 0.00366 0.0034 0.01097 0.03658 0.369 0.01864 0.0194 0.05592 0.02707 18.954 0.685151 0.719576 -5.529833 0.24275 2.408689 0.22052 1 112.15 131.669 97.527 0.00519 0.00005 0.00291 0.00284 0.00873 0.01756 0.155 0.00967 0.01033 0.02902 0.01435 21.219 0.557045 0.673086 -5.617124 0.184896 1.871871 0.212386 1 102.273 142.83 85.902 0.00907 0.00009 0.00493 0.00461 0.0148 0.02814 0.272 0.01579 0.01553 0.04736 0.03882 18.447 0.671378 0.674562 -2.929379 0.396746 2.560422 0.367233 0 236.2 244.663 102.137 0.00277 0.00001 0.00154 0.00153 0.00462 0.02448 0.217 0.0141 0.01426 0.04231 0.0062 24.078 0.469928 0.628232 -6.816086 0.17227 2.235197 0.119652 0 237.323 243.709 229.256 0.00303 0.00001 0.00173 0.00159 0.00519 0.01242 0.116 0.00696 0.00747 0.02089 0.00533 24.679 0.384868 0.62671 -7.018057 0.176316 1.852402 0.091604 0 260.105 264.919 237.303 0.00339 0.00001 0.00205 0.00186 0.00616 0.0203 0.197 0.01186 0.0123 0.03557 0.0091 21.083 0.440988 0.628058 -7.517934 0.160414 1.881767 0.075587 0 197.569 217.627 90.794 0.00803 0.00004 0.0049 0.00448 0.0147 0.02177 0.189 0.01279 0.01272 0.03836 0.01337 19.269 0.372222 0.725216 -5.736781 0.164529 2.88245 0.202879 0 240.301 245.135 219.783 0.00517 0.00002 0.00316 0.00283 0.00949 0.02018 0.212 0.01176 0.01191 0.03529 0.00965 21.02 0.371837 0.646167 -7.169701 0.073298 2.266432 0.100881 0 244.99 272.21 239.17 0.00451 0.00002 0.00279 0.00237 0.00837 0.01897 0.181 0.01084 0.01121 0.03253 0.01049 21.528 0.522812 0.646818 -7.3045 0.171088 2.095237 0.09622 0 112.547 133.374 105.715 0.00355 0.00003 0.00166 0.0019 0.00499 0.01358 0.129 0.00664 0.00786 0.01992 0.00435 26.436 0.413295 0.7567 -6.323531 0.218885 2.193412 0.160376 0 110.739 113.597 100.139 0.00356 0.00003 0.0017 0.002 0.0051 0.01484 0.133 0.00754 0.0095 0.02261 0.0043 26.55 0.36909 0.776158 -6.085567 0.192375 1.889002 0.174152 0 113.715 116.443 96.913 0.00349 0.00003 0.00171 0.00203 0.00514 0.01472 0.133 0.00748 0.00905 0.02245 0.00478 26.547 0.380253 0.7667 -5.943501 0.19215 1.852542 0.179677 0 117.004 144.466 99.923 0.00353 0.00003 0.00176 0.00218 0.00528 0.01657 0.145 0.00881 0.01062 0.02643 0.0059 25.445 0.387482 0.756482 -6.012559 0.229298 1.872946 0.163118 0 115.38 123.109 108.634 0.00332 0.00003 0.0016 0.00199 0.0048 0.01503 0.137 0.00812 0.00933 0.02436 0.00401 26.005 0.405991 0.761255 -5.966779 0.197938 1.974857 0.184067 0 116.388 129.038 108.97 0.00346 0.00003 0.00169 0.00213 0.00507 0.01725 0.155 0.00874 0.01021 0.02623 0.00415 26.143 0.361232 0.763242 -6.016891 0.109256 2.004719 0.174429 1 151.737 190.204 129.859 0.00314 0.00002 0.00135 0.00162 0.00406 0.01469 0.132 0.00728 0.00886 0.02184 0.0057 24.151 0.39661 0.745957 -6.486822 0.197919 2.449763 0.132703 1 148.79 158.359 138.99 0.00309 0.00002 0.00152 0.00186 0.00456 0.01574 0.142 0.00839 0.00956 0.02518 0.00488 24.412 0.402591 0.762508 -6.311987 0.182459 2.251553 0.160306 1 148.143 155.982 135.041 0.00392 0.00003 0.00204 0.00231 0.00612 0.0145 0.131 0.00725 0.00876 0.02175 0.0054 23.683 0.398499 0.778349 -5.711205 0.240875 2.845109 0.19273 1 150.44 163.441 144.736 0.00396 0.00003 0.00206 0.00233 0.00619 0.02551 0.237 0.01321 0.01574 0.03964 0.00611 23.133 0.352396 0.75932 -6.261446 0.183218 2.264226 0.144105 1 148.462 161.078 141.998 0.00397 0.00003 0.00202 0.00235 0.00605 0.01831 0.163 0.0095 0.01103 0.02849 0.00639 22.866 0.408598 0.768845 -5.704053 0.216204 2.679185 0.19771 1 149.818 163.417 144.786 0.00336 0.00002 0.00174 0.00198 0.00521 0.02145 0.198 0.01155 0.01341 0.03464 0.00595 23.008 0.329577 0.75718 -6.27717 0.109397 2.209021 0.156368 0 117.226 123.925 106.656 0.00417 0.00004 0.00186 0.0027 0.00558 0.01909 0.171 0.00864 0.01223 0.02592 0.00955 23.079 0.603515 0.669565 -5.61907 0.191576 2.027228 0.215724 0 116.848 217.552 99.503 0.00531 0.00005 0.0026 0.00346 0.0078 0.01795 0.163 0.0081 0.01144 0.02429 0.01179 22.085 0.663842 0.656516 -5.198864 0.206768 2.120412 0.252404 0 116.286 177.291 96.983 0.00314 0.00003 0.00134 0.00192 0.00403 0.01564 0.136 0.00667 0.0099 0.02001 0.00737 24.199 0.598515 0.654331 -5.592584 0.133917 2.058658 0.214346 0 116.556 592.03 86.228 0.00496 0.00004 0.00254 0.00263 0.00762 0.0166 0.154 0.0082 0.00972 0.0246 0.01397 23.958 0.566424 0.667654 -6.431119 0.15331 2.161936 0.120605 0 116.342 581.289 94.246 0.00267 0.00002 0.00115 0.00148 0.00345 0.013 0.117 0.00631 0.00789 0.01892 0.0068 25.023 0.528485 0.663884 -6.359018 0.116636 2.152083 0.138868 0 114.563 119.167 86.647 0.00327 0.00003 0.00146 0.00184 0.00439 0.01185 0.106 0.00557 0.00721 0.01672 0.00703 24.775 0.555303 0.659132 -6.710219 0.149694 1.91399 0.121777 0 201.774 262.707 78.228 0.00694 0.00003 0.00412 0.00396 0.01235 0.02574 0.255 0.01454 0.01582 0.04363 0.04441 19.368 0.508479 0.683761 -6.934474 0.15989 2.316346 0.112838 0 174.188 230.978 94.261 0.00459 0.00003 0.00263 0.00259 0.0079 0.04087 0.405 0.02336 0.02498 0.07008 0.02764 19.517 0.448439 0.657899 -6.538586 0.121952 2.657476 0.13305 0 209.516 253.017 89.488 0.00564 0.00003 0.00331 0.00292 0.00994 0.02751 0.263 0.01604 0.01657 0.04812 0.0181 19.147 0.431674 0.683244 -6.195325 0.129303 2.784312 0.168895 0 174.688 240.005 74.287 0.0136 0.00008 0.00624 0.00564 0.01873 0.02308 0.256 0.01268 0.01365 0.03804 0.10715 17.883 0.407567 0.655683 -6.787197 0.158453 2.679772 0.131728 0 198.764 396.961 74.904 0.0074 0.00004 0.0037 0.0039 0.01109 0.02296 0.241 0.01265 0.01321 0.03794 0.07223 19.02 0.451221 0.643956 -6.744577 0.207454 2.138608 0.123306 0 214.289 260.277 77.973 0.00567 0.00003 0.00295 0.00317 0.00885 0.01884 0.19 0.01026 0.01161 0.03078 0.04398 21.209 0.462803 0.664357 -5.724056 0.190667 2.555477 0.148569
Names of X columns:
status MDVP:Fo(Hz) MDVP:Fhi(Hz) MDVP:Flo(Hz) MDVP:Jitter(%) MDVP:Jitter(Abs) MDVP:RAP MDVP:PPQ Jitter:DDP MDVP:Shimmer MDVP:Shimmer(dB) Shimmer:APQ3 Shimmer:APQ5 Shimmer:DDA NHR HNR RPDE DFA spread1 spread2 D2 PPE
Sample Range:
(leave blank to include all observations)
From:
To:
Column Number of Endogenous Series
(?)
Fixed Seasonal Effects
Do not include Seasonal Dummies
Do not include Seasonal Dummies
Include Seasonal Dummies
Type of Equation
No Linear Trend
No Linear Trend
Linear Trend
First Differences
Seasonal Differences (s)
First and Seasonal Differences (s)
Degree of Predetermination (lagged endogenous variables)
Degree of Seasonal Predetermination
Seasonality
12
1
2
3
4
5
6
7
8
9
10
11
12
Chart options
R Code
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$coefficients)[i] != 't') myeq <- paste(myeq, '[t]', sep='') } } myeq <- paste(myeq, ' + e[t]') a<-table.row.start(a) a<-table.element(a, myeq) a<-table.row.end(a) a<-table.end(a) table.save(a,file='mytable1.tab') a<-table.start() a<-table.row.start(a) a<-table.element(a,hyperlink('http://www.xycoon.com/ols1.htm','Multiple Linear Regression - Ordinary Least Squares',''), 6, TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Variable',header=TRUE) a<-table.element(a,'Parameter',header=TRUE) a<-table.element(a,'S.D.',header=TRUE) a<-table.element(a,'T-STAT<br />H0: parameter = 0',header=TRUE) a<-table.element(a,'2-tail p-value',header=TRUE) a<-table.element(a,'1-tail p-value',header=TRUE) a<-table.row.end(a) for (i in 1:k){ a<-table.row.start(a) a<-table.element(a,rownames(mysum$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$sigma,6)) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a, 'Sum Squared Residuals',1,TRUE) a<-table.element(a, signif(sum(myerror*myerror),6)) a<-table.row.end(a) a<-table.end(a) table.save(a,file='mytable3.tab') a<-table.start() a<-table.row.start(a) a<-table.element(a, 'Multiple Linear Regression - Actuals, Interpolation, and Residuals', 4, TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a, 'Time or Index', 1, TRUE) a<-table.element(a, 'Actuals', 1, TRUE) a<-table.element(a, 'Interpolation<br />Forecast', 1, TRUE) a<-table.element(a, 'Residuals<br />Prediction Error', 1, TRUE) a<-table.row.end(a) for (i in 1:n) { a<-table.row.start(a) a<-table.element(a,i, 1, TRUE) a<-table.element(a,signif(x[i],6)) a<-table.element(a,signif(x[i]-mysum$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') }
Compute
Summary of computational transaction
Raw Input
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Raw Output
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Computing time
0 seconds
R Server
Big Analytics Cloud Computing Center
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