| Multiple Linear Regression - Estimated Regression Equation |
| status[t] = + 1.29477 -0.00238094`MDVP:Fo(Hz)`[t] -0.000185002`MDVP:Fhi(Hz)`[t] -0.00244012`MDVP:Flo(Hz)`[t] -94.729`MDVP:Jitter(%)`[t] -85.0461`MDVP:Jitter(Abs)`[t] + 116.985`MDVP:RAP`[t] + 40.7796`MDVP:PPQ`[t] + 4.45967`MDVP:Shimmer`[t] -0.527263`MDVP:Shimmer(dB)`[t] + 9.49206`MDVP:APQ`[t] + e[t] |
| Multiple Linear Regression - Ordinary Least Squares | |||||
| Variable | Parameter | S.D. | T-STAT H0: parameter = 0 | 2-tail p-value | 1-tail p-value |
| (Intercept) | 1.29477 | 0.221545 | 5.844 | 2.27283e-08 | 1.13642e-08 |
| `MDVP:Fo(Hz)` | -0.00238094 | 0.0014057 | -1.694 | 0.0919986 | 0.0459993 |
| `MDVP:Fhi(Hz)` | -0.000185002 | 0.000342546 | -0.5401 | 0.589796 | 0.294898 |
| `MDVP:Flo(Hz)` | -0.00244012 | 0.000833719 | -2.927 | 0.00385673 | 0.00192837 |
| `MDVP:Jitter(%)` | -94.729 | 66.2705 | -1.429 | 0.154577 | 0.0772884 |
| `MDVP:Jitter(Abs)` | -85.0461 | 4517.35 | -0.01883 | 0.985 | 0.4925 |
| `MDVP:RAP` | 116.985 | 74.9806 | 1.56 | 0.120431 | 0.0602156 |
| `MDVP:PPQ` | 40.7796 | 52.6705 | 0.7742 | 0.439783 | 0.219892 |
| `MDVP:Shimmer` | 4.45967 | 11.3556 | 0.3927 | 0.694974 | 0.347487 |
| `MDVP:Shimmer(dB)` | -0.527263 | 1.19847 | -0.4399 | 0.660491 | 0.330246 |
| `MDVP:APQ` | 9.49206 | 6.86775 | 1.382 | 0.16861 | 0.084305 |
| Multiple Linear Regression - Regression Statistics | |
| Multiple R | 0.550203 |
| R-squared | 0.302723 |
| Adjusted R-squared | 0.264828 |
| F-TEST (value) | 7.98837 |
| F-TEST (DF numerator) | 10 |
| F-TEST (DF denominator) | 184 |
| p-value | 1.2103e-10 |
| Multiple Linear Regression - Residual Statistics | |
| Residual Standard Deviation | 0.370302 |
| Sum Squared Residuals | 25.2307 |
| Multiple Linear Regression - Actuals, Interpolation, and Residuals | |||
| Time or Index | Actuals | Interpolation Forecast | Residuals Prediction Error |
| 1 | 1 | 0.959565 | 0.0404346 |
| 2 | 1 | 0.960235 | 0.0397654 |
| 3 | 1 | 0.993066 | 0.00693369 |
| 4 | 1 | 0.969889 | 0.0301112 |
| 5 | 1 | 1.03559 | -0.0355892 |
| 6 | 1 | 0.906571 | 0.0934288 |
| 7 | 1 | 0.774688 | 0.225312 |
| 8 | 1 | 0.847476 | 0.152524 |
| 9 | 1 | 0.925223 | 0.0747775 |
| 10 | 1 | 0.987569 | 0.0124314 |
| 11 | 1 | 0.978061 | 0.0219393 |
| 12 | 1 | 0.994653 | 0.00534682 |
| 13 | 1 | 0.645331 | 0.354669 |
| 14 | 1 | 0.811911 | 0.188089 |
| 15 | 1 | 0.754187 | 0.245813 |
| 16 | 1 | 0.757067 | 0.242933 |
| 17 | 1 | 0.719003 | 0.280997 |
| 18 | 1 | 0.762443 | 0.237557 |
| 19 | 1 | 1.13292 | -0.132918 |
| 20 | 1 | 0.808741 | 0.191259 |
| 21 | 1 | 1.00339 | -0.00338749 |
| 22 | 1 | 1.04773 | -0.0477274 |
| 23 | 1 | 1.00139 | -0.0013876 |
| 24 | 1 | 0.898088 | 0.101912 |
| 25 | 1 | 0.706658 | 0.293342 |
| 26 | 1 | 1.0616 | -0.0616014 |
| 27 | 1 | 0.786374 | 0.213626 |
| 28 | 1 | 0.793786 | 0.206214 |
| 29 | 1 | 0.799267 | 0.200733 |
| 30 | 1 | 0.796275 | 0.203725 |
| 31 | 0 | 0.380663 | -0.380663 |
| 32 | 0 | 0.367488 | -0.367488 |
| 33 | 0 | 0.385057 | -0.385057 |
| 34 | 0 | 0.340268 | -0.340268 |
| 35 | 0 | 0.343839 | -0.343839 |
| 36 | 0 | 0.367574 | -0.367574 |
| 37 | 1 | 0.55358 | 0.44642 |
| 38 | 1 | 0.554826 | 0.445174 |
| 39 | 1 | 0.484592 | 0.515408 |
| 40 | 1 | 0.482096 | 0.517904 |
| 41 | 1 | 0.474543 | 0.525457 |
| 42 | 1 | 0.496972 | 0.503028 |
| 43 | 0 | 0.222596 | -0.222596 |
| 44 | 0 | 0.20989 | -0.20989 |
| 45 | 0 | 0.18015 | -0.18015 |
| 46 | 0 | 0.185112 | -0.185112 |
| 47 | 0 | 0.18789 | -0.18789 |
| 48 | 0 | 0.255853 | -0.255853 |
| 49 | 0 | 0.610833 | -0.610833 |
| 50 | 0 | 0.62505 | -0.62505 |
| 51 | 0 | 0.662468 | -0.662468 |
| 52 | 0 | 0.63464 | -0.63464 |
| 53 | 0 | 0.629863 | -0.629863 |
| 54 | 0 | 0.647617 | -0.647617 |
| 55 | 1 | 0.8224 | 0.1776 |
| 56 | 1 | 0.819824 | 0.180176 |
| 57 | 1 | 0.883691 | 0.116309 |
| 58 | 1 | 0.716332 | 0.283668 |
| 59 | 1 | 0.748611 | 0.251389 |
| 60 | 1 | 0.734388 | 0.265612 |
| 61 | 0 | 0.576479 | -0.576479 |
| 62 | 0 | 0.593978 | -0.593978 |
| 63 | 0 | 0.315838 | -0.315838 |
| 64 | 0 | 0.256291 | -0.256291 |
| 65 | 0 | 0.240151 | -0.240151 |
| 66 | 0 | 0.532706 | -0.532706 |
| 67 | 1 | 0.879006 | 0.120994 |
| 68 | 1 | 0.901814 | 0.0981863 |
| 69 | 1 | 0.970041 | 0.0299588 |
| 70 | 1 | 1.03737 | -0.0373747 |
| 71 | 1 | 0.935236 | 0.0647637 |
| 72 | 1 | 0.992809 | 0.00719062 |
| 73 | 1 | 0.749346 | 0.250654 |
| 74 | 1 | 0.772242 | 0.227758 |
| 75 | 1 | 0.862432 | 0.137568 |
| 76 | 1 | 0.854069 | 0.145931 |
| 77 | 1 | 0.944567 | 0.055433 |
| 78 | 1 | 0.834663 | 0.165337 |
| 79 | 1 | 1.00722 | -0.00722043 |
| 80 | 1 | 0.947319 | 0.0526811 |
| 81 | 1 | 1.06109 | -0.0610855 |
| 82 | 1 | 1.00717 | -0.00716948 |
| 83 | 1 | 0.934612 | 0.0653878 |
| 84 | 1 | 0.947823 | 0.0521774 |
| 85 | 1 | 0.918697 | 0.0813026 |
| 86 | 1 | 0.688336 | 0.311664 |
| 87 | 1 | 0.712305 | 0.287695 |
| 88 | 1 | 0.923389 | 0.0766109 |
| 89 | 1 | 1.02639 | -0.0263919 |
| 90 | 1 | 0.712061 | 0.287939 |
| 91 | 1 | 1.048 | -0.0480039 |
| 92 | 1 | 0.986651 | 0.0133492 |
| 93 | 1 | 0.798012 | 0.201988 |
| 94 | 1 | 1.01281 | -0.0128075 |
| 95 | 1 | 0.954697 | 0.045303 |
| 96 | 1 | 0.729606 | 0.270394 |
| 97 | 1 | 0.744453 | 0.255547 |
| 98 | 1 | 0.875234 | 0.124766 |
| 99 | 1 | 1.01075 | -0.0107467 |
| 100 | 1 | 1.13851 | -0.138508 |
| 101 | 1 | 1.17876 | -0.178764 |
| 102 | 1 | 1.18485 | -0.184853 |
| 103 | 1 | 1.15653 | -0.156532 |
| 104 | 1 | 0.75601 | 0.24399 |
| 105 | 1 | 0.619126 | 0.380874 |
| 106 | 1 | 0.621984 | 0.378016 |
| 107 | 1 | 0.58497 | 0.41503 |
| 108 | 1 | 0.628461 | 0.371539 |
| 109 | 1 | 0.631691 | 0.368309 |
| 110 | 1 | 0.7452 | 0.2548 |
| 111 | 1 | 0.705817 | 0.294183 |
| 112 | 1 | 0.38207 | 0.61793 |
| 113 | 1 | 0.451857 | 0.548143 |
| 114 | 1 | 0.400482 | 0.599518 |
| 115 | 1 | 0.656032 | 0.343968 |
| 116 | 1 | 0.565973 | 0.434027 |
| 117 | 1 | 0.653444 | 0.346556 |
| 118 | 1 | 0.61711 | 0.38289 |
| 119 | 1 | 0.508969 | 0.491031 |
| 120 | 1 | 0.416267 | 0.583733 |
| 121 | 1 | 0.676652 | 0.323348 |
| 122 | 1 | 0.620608 | 0.379392 |
| 123 | 1 | 0.96372 | 0.0362803 |
| 124 | 1 | 0.777982 | 0.222018 |
| 125 | 1 | 0.813259 | 0.186741 |
| 126 | 1 | 0.840504 | 0.159496 |
| 127 | 1 | 0.89918 | 0.10082 |
| 128 | 1 | 0.842775 | 0.157225 |
| 129 | 1 | 0.701079 | 0.298921 |
| 130 | 1 | 0.744724 | 0.255276 |
| 131 | 1 | 0.792811 | 0.207189 |
| 132 | 1 | 0.806342 | 0.193658 |
| 133 | 1 | 0.797586 | 0.202414 |
| 134 | 1 | 0.751327 | 0.248673 |
| 135 | 1 | 1.03455 | -0.0345466 |
| 136 | 1 | 0.992167 | 0.00783291 |
| 137 | 1 | 1.08313 | -0.0831289 |
| 138 | 1 | 1.08136 | -0.0813636 |
| 139 | 1 | 1.09782 | -0.0978232 |
| 140 | 1 | 0.925871 | 0.0741286 |
| 141 | 1 | 0.748816 | 0.251184 |
| 142 | 1 | 0.905676 | 0.0943241 |
| 143 | 1 | 0.602408 | 0.397592 |
| 144 | 1 | 0.650705 | 0.349295 |
| 145 | 1 | 0.485953 | 0.514047 |
| 146 | 1 | 0.615183 | 0.384817 |
| 147 | 1 | 1.15419 | -0.154187 |
| 148 | 1 | 0.903232 | 0.0967677 |
| 149 | 1 | 0.933063 | 0.0669366 |
| 150 | 1 | 0.688606 | 0.311394 |
| 151 | 1 | 0.833471 | 0.166529 |
| 152 | 1 | 1.48201 | -0.482012 |
| 153 | 1 | 0.93858 | 0.0614196 |
| 154 | 1 | 0.85761 | 0.14239 |
| 155 | 1 | 0.878857 | 0.121143 |
| 156 | 1 | 0.898959 | 0.101041 |
| 157 | 1 | 0.828577 | 0.171423 |
| 158 | 1 | 0.877445 | 0.122555 |
| 159 | 1 | 0.867995 | 0.132005 |
| 160 | 1 | 0.878882 | 0.121118 |
| 161 | 1 | 1.09106 | -0.0910604 |
| 162 | 1 | 0.940174 | 0.0598261 |
| 163 | 1 | 0.983221 | 0.0167789 |
| 164 | 1 | 0.851715 | 0.148285 |
| 165 | 1 | 0.891959 | 0.108041 |
| 166 | 0 | 0.565822 | -0.565822 |
| 167 | 0 | 0.182506 | -0.182506 |
| 168 | 0 | 0.157518 | -0.157518 |
| 169 | 0 | 0.688424 | -0.688424 |
| 170 | 0 | 0.240395 | -0.240395 |
| 171 | 0 | 0.179894 | -0.179894 |
| 172 | 0 | 0.777759 | -0.777759 |
| 173 | 0 | 0.824413 | -0.824413 |
| 174 | 0 | 0.820157 | -0.820157 |
| 175 | 0 | 0.826034 | -0.826034 |
| 176 | 0 | 0.785813 | -0.785813 |
| 177 | 0 | 0.803676 | -0.803676 |
| 178 | 1 | 0.618939 | 0.381061 |
| 179 | 1 | 0.650886 | 0.349114 |
| 180 | 1 | 0.658113 | 0.341887 |
| 181 | 1 | 0.704189 | 0.295811 |
| 182 | 1 | 0.662206 | 0.337794 |
| 183 | 1 | 0.668238 | 0.331762 |
| 184 | 0 | 0.841727 | -0.841727 |
| 185 | 0 | 0.832294 | -0.832294 |
| 186 | 0 | 0.842056 | -0.842056 |
| 187 | 0 | 0.762814 | -0.762814 |
| 188 | 0 | 0.725387 | -0.725387 |
| 189 | 0 | 0.822937 | -0.822937 |
| 190 | 0 | 0.705572 | -0.705572 |
| 191 | 0 | 0.81251 | -0.81251 |
| 192 | 0 | 0.662596 | -0.662596 |
| 193 | 0 | 0.444221 | -0.444221 |
| 194 | 0 | 0.578854 | -0.578854 |
| 195 | 0 | 0.59502 | -0.59502 |
| Goldfeld-Quandt test for Heteroskedasticity | |||
| p-values | Alternative Hypothesis | ||
| breakpoint index | greater | 2-sided | less |
| 14 | 4.7356e-49 | 9.47119e-49 | 1 |
| 15 | 8.1856e-65 | 1.63712e-64 | 1 |
| 16 | 0 | 0 | 1 |
| 17 | 1.87572e-99 | 3.75144e-99 | 1 |
| 18 | 2.52265e-106 | 5.0453e-106 | 1 |
| 19 | 1.70763e-121 | 3.41526e-121 | 1 |
| 20 | 1.16139e-144 | 2.32278e-144 | 1 |
| 21 | 1.64045e-173 | 3.2809e-173 | 1 |
| 22 | 2.0321e-165 | 4.0642e-165 | 1 |
| 23 | 1.39281e-183 | 2.78561e-183 | 1 |
| 24 | 8.88148e-196 | 1.7763e-195 | 1 |
| 25 | 2.09059e-219 | 4.18118e-219 | 1 |
| 26 | 2.23523e-256 | 4.47046e-256 | 1 |
| 27 | 1.45847e-249 | 2.91694e-249 | 1 |
| 28 | 5.39864e-257 | 1.07973e-256 | 1 |
| 29 | 1.35955e-280 | 2.71911e-280 | 1 |
| 30 | 2.98725e-286 | 5.9745e-286 | 1 |
| 31 | 2.75795e-08 | 5.5159e-08 | 1 |
| 32 | 1.67541e-08 | 3.35082e-08 | 1 |
| 33 | 5.74689e-09 | 1.14938e-08 | 1 |
| 34 | 1.72909e-09 | 3.45817e-09 | 1 |
| 35 | 5.12366e-10 | 1.02473e-09 | 1 |
| 36 | 1.47665e-10 | 2.9533e-10 | 1 |
| 37 | 1.71754e-08 | 3.43508e-08 | 1 |
| 38 | 3.27028e-07 | 6.54056e-07 | 1 |
| 39 | 5.18932e-05 | 0.000103786 | 0.999948 |
| 40 | 0.000543935 | 0.00108787 | 0.999456 |
| 41 | 0.00256675 | 0.0051335 | 0.997433 |
| 42 | 0.00349053 | 0.00698106 | 0.996509 |
| 43 | 0.00238687 | 0.00477374 | 0.997613 |
| 44 | 0.00150305 | 0.0030061 | 0.998497 |
| 45 | 0.00104502 | 0.00209005 | 0.998955 |
| 46 | 0.000653227 | 0.00130645 | 0.999347 |
| 47 | 0.000412151 | 0.000824301 | 0.999588 |
| 48 | 0.000261375 | 0.000522751 | 0.999739 |
| 49 | 0.00151018 | 0.00302035 | 0.99849 |
| 50 | 0.00225479 | 0.00450959 | 0.997745 |
| 51 | 0.00319823 | 0.00639646 | 0.996802 |
| 52 | 0.00289345 | 0.00578689 | 0.997107 |
| 53 | 0.00326192 | 0.00652384 | 0.996738 |
| 54 | 0.0037623 | 0.0075246 | 0.996238 |
| 55 | 0.00325775 | 0.00651549 | 0.996742 |
| 56 | 0.00362545 | 0.00725089 | 0.996375 |
| 57 | 0.00277586 | 0.00555173 | 0.997224 |
| 58 | 0.00248165 | 0.00496329 | 0.997518 |
| 59 | 0.00221601 | 0.00443203 | 0.997784 |
| 60 | 0.00185335 | 0.00370671 | 0.998147 |
| 61 | 0.00431491 | 0.00862981 | 0.995685 |
| 62 | 0.00613406 | 0.0122681 | 0.993866 |
| 63 | 0.00516772 | 0.0103354 | 0.994832 |
| 64 | 0.0042201 | 0.00844019 | 0.99578 |
| 65 | 0.0034128 | 0.00682559 | 0.996587 |
| 66 | 0.00354978 | 0.00709955 | 0.99645 |
| 67 | 0.00281397 | 0.00562795 | 0.997186 |
| 68 | 0.00197617 | 0.00395234 | 0.998024 |
| 69 | 0.00248631 | 0.00497261 | 0.997514 |
| 70 | 0.00176266 | 0.00352532 | 0.998237 |
| 71 | 0.00125394 | 0.00250789 | 0.998746 |
| 72 | 0.000841977 | 0.00168395 | 0.999158 |
| 73 | 0.000627403 | 0.00125481 | 0.999373 |
| 74 | 0.00102939 | 0.00205879 | 0.998971 |
| 75 | 0.00071483 | 0.00142966 | 0.999285 |
| 76 | 0.000495562 | 0.000991124 | 0.999504 |
| 77 | 0.000342824 | 0.000685648 | 0.999657 |
| 78 | 0.000237404 | 0.000474809 | 0.999763 |
| 79 | 0.000157001 | 0.000314002 | 0.999843 |
| 80 | 0.000142893 | 0.000285786 | 0.999857 |
| 81 | 9.55231e-05 | 0.000191046 | 0.999904 |
| 82 | 6.52647e-05 | 0.000130529 | 0.999935 |
| 83 | 4.6604e-05 | 9.3208e-05 | 0.999953 |
| 84 | 3.36395e-05 | 6.72789e-05 | 0.999966 |
| 85 | 2.11615e-05 | 4.2323e-05 | 0.999979 |
| 86 | 2.57997e-05 | 5.15995e-05 | 0.999974 |
| 87 | 4.34293e-05 | 8.68586e-05 | 0.999957 |
| 88 | 3.39227e-05 | 6.78455e-05 | 0.999966 |
| 89 | 2.82322e-05 | 5.64644e-05 | 0.999972 |
| 90 | 1.88561e-05 | 3.77123e-05 | 0.999981 |
| 91 | 1.30534e-05 | 2.61069e-05 | 0.999987 |
| 92 | 1.08329e-05 | 2.16658e-05 | 0.999989 |
| 93 | 7.21095e-06 | 1.44219e-05 | 0.999993 |
| 94 | 4.46064e-06 | 8.92129e-06 | 0.999996 |
| 95 | 2.70091e-06 | 5.40181e-06 | 0.999997 |
| 96 | 1.86953e-06 | 3.73906e-06 | 0.999998 |
| 97 | 1.29521e-06 | 2.59042e-06 | 0.999999 |
| 98 | 7.73041e-07 | 1.54608e-06 | 0.999999 |
| 99 | 4.54999e-07 | 9.09998e-07 | 1 |
| 100 | 4.16395e-07 | 8.32791e-07 | 1 |
| 101 | 3.35789e-07 | 6.71579e-07 | 1 |
| 102 | 4.64821e-07 | 9.29642e-07 | 1 |
| 103 | 9.15229e-07 | 1.83046e-06 | 0.999999 |
| 104 | 7.36472e-07 | 1.47294e-06 | 0.999999 |
| 105 | 6.40897e-07 | 1.28179e-06 | 0.999999 |
| 106 | 6.49936e-07 | 1.29987e-06 | 0.999999 |
| 107 | 6.1223e-07 | 1.22446e-06 | 0.999999 |
| 108 | 5.95995e-07 | 1.19199e-06 | 0.999999 |
| 109 | 4.70156e-07 | 9.40312e-07 | 1 |
| 110 | 3.64947e-07 | 7.29895e-07 | 1 |
| 111 | 2.86066e-07 | 5.72132e-07 | 1 |
| 112 | 6.17628e-07 | 1.23526e-06 | 0.999999 |
| 113 | 9.18216e-07 | 1.83643e-06 | 0.999999 |
| 114 | 2.91818e-06 | 5.83635e-06 | 0.999997 |
| 115 | 2.36704e-06 | 4.73408e-06 | 0.999998 |
| 116 | 3.31461e-06 | 6.62922e-06 | 0.999997 |
| 117 | 2.95613e-06 | 5.91226e-06 | 0.999997 |
| 118 | 2.94526e-06 | 5.89052e-06 | 0.999997 |
| 119 | 7.80625e-06 | 1.56125e-05 | 0.999992 |
| 120 | 5.05026e-05 | 0.000101005 | 0.999949 |
| 121 | 8.2059e-05 | 0.000164118 | 0.999918 |
| 122 | 0.000117421 | 0.000234842 | 0.999883 |
| 123 | 8.04971e-05 | 0.000160994 | 0.99992 |
| 124 | 7.47631e-05 | 0.000149526 | 0.999925 |
| 125 | 7.86012e-05 | 0.000157202 | 0.999921 |
| 126 | 8.93897e-05 | 0.000178779 | 0.999911 |
| 127 | 8.92048e-05 | 0.00017841 | 0.999911 |
| 128 | 8.9409e-05 | 0.000178818 | 0.999911 |
| 129 | 8.6164e-05 | 0.000172328 | 0.999914 |
| 130 | 8.10847e-05 | 0.000162169 | 0.999919 |
| 131 | 7.68401e-05 | 0.00015368 | 0.999923 |
| 132 | 7.30889e-05 | 0.000146178 | 0.999927 |
| 133 | 8.61903e-05 | 0.000172381 | 0.999914 |
| 134 | 0.00010954 | 0.000219081 | 0.99989 |
| 135 | 8.06056e-05 | 0.000161211 | 0.999919 |
| 136 | 5.36543e-05 | 0.000107309 | 0.999946 |
| 137 | 3.51551e-05 | 7.03101e-05 | 0.999965 |
| 138 | 2.33422e-05 | 4.66844e-05 | 0.999977 |
| 139 | 1.97197e-05 | 3.94394e-05 | 0.99998 |
| 140 | 1.38938e-05 | 2.77875e-05 | 0.999986 |
| 141 | 1.73453e-05 | 3.46905e-05 | 0.999983 |
| 142 | 1.16789e-05 | 2.33578e-05 | 0.999988 |
| 143 | 1.64767e-05 | 3.29535e-05 | 0.999984 |
| 144 | 6.345e-05 | 0.0001269 | 0.999937 |
| 145 | 0.000172611 | 0.000345222 | 0.999827 |
| 146 | 0.00134225 | 0.0026845 | 0.998658 |
| 147 | 0.0010221 | 0.00204419 | 0.998978 |
| 148 | 0.000681928 | 0.00136386 | 0.999318 |
| 149 | 0.000531542 | 0.00106308 | 0.999468 |
| 150 | 0.000397307 | 0.000794615 | 0.999603 |
| 151 | 0.000268105 | 0.00053621 | 0.999732 |
| 152 | 0.000782354 | 0.00156471 | 0.999218 |
| 153 | 0.000500384 | 0.00100077 | 0.9995 |
| 154 | 0.000394743 | 0.000789486 | 0.999605 |
| 155 | 0.00029643 | 0.00059286 | 0.999704 |
| 156 | 0.000228544 | 0.000457089 | 0.999771 |
| 157 | 0.00022634 | 0.000452681 | 0.999774 |
| 158 | 0.000443354 | 0.000886707 | 0.999557 |
| 159 | 0.000283983 | 0.000567966 | 0.999716 |
| 160 | 0.000195409 | 0.000390818 | 0.999805 |
| 161 | 0.000119916 | 0.000239833 | 0.99988 |
| 162 | 6.79448e-05 | 0.00013589 | 0.999932 |
| 163 | 3.98612e-05 | 7.97223e-05 | 0.99996 |
| 164 | 6.80406e-05 | 0.000136081 | 0.999932 |
| 165 | 0.00383338 | 0.00766676 | 0.996167 |
| 166 | 0.00435782 | 0.00871564 | 0.995642 |
| 167 | 0.00446133 | 0.00892266 | 0.995539 |
| 168 | 0.0115921 | 0.0231842 | 0.988408 |
| 169 | 0.0167053 | 0.0334107 | 0.983295 |
| 170 | 0.0124886 | 0.0249772 | 0.987511 |
| 171 | 0.99708 | 0.00583903 | 0.00291951 |
| 172 | 0.999244 | 0.00151237 | 0.000756184 |
| 173 | 0.998829 | 0.00234125 | 0.00117062 |
| 174 | 0.997819 | 0.00436216 | 0.00218108 |
| 175 | 0.997837 | 0.0043257 | 0.00216285 |
| 176 | 0.998661 | 0.00267763 | 0.00133882 |
| 177 | 0.998956 | 0.00208783 | 0.00104392 |
| 178 | 0.999905 | 0.00018926 | 9.46301e-05 |
| 179 | 0.999417 | 0.00116694 | 0.000583472 |
| 180 | 0.998792 | 0.00241604 | 0.00120802 |
| 181 | 0.993187 | 0.0136266 | 0.00681331 |
| Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity | |||
| Description | # significant tests | % significant tests | OK/NOK |
| 1% type I error level | 162 | 0.964286 | NOK |
| 5% type I error level | 168 | 1 | NOK |
| 10% type I error level | 168 | 1 | NOK |
