| Multiple Linear Regression - Estimated Regression Equation |
| HNR[t] = + 44.5416 -0.00182707`MDVP:Fo(Hz)`[t] + 0.00247759`MDVP:Fhi(Hz)`[t] + 0.0021025`MDVP:Flo(Hz)`[t] -607.496`MDVP:Jitter(%)`[t] + 57886.9`MDVP:Jitter(Abs)`[t] -27096`MDVP:RAP`[t] + 25.4063`MDVP:PPQ`[t] + 9119.58`Jitter:DDP`[t] + 308.934`MDVP:Shimmer`[t] -10.7544`MDVP:Shimmer(dB)`[t] + 27659.8`Shimmer:APQ3`[t] -193.034`Shimmer:APQ5`[t] + 58.9856`MDVP:APQ`[t] -9349`Shimmer:DDA`[t] -16.4308NHR[t] -0.440425status[t] -17.3235RPDE[t] -2.39779DFA[t] + 0.412283spread1[t] + 9.43257spread2[t] -3.01521D2[t] -11.5931PPE[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) | 44.5416 | 5.18969 | 8.583 | 5.31731e-15 | 2.65865e-15 |
| `MDVP:Fo(Hz)` | -0.00182707 | 0.00805641 | -0.2268 | 0.82086 | 0.41043 |
| `MDVP:Fhi(Hz)` | 0.00247759 | 0.00169099 | 1.465 | 0.1447 | 0.0723501 |
| `MDVP:Flo(Hz)` | 0.0021025 | 0.00429244 | 0.4898 | 0.62489 | 0.312445 |
| `MDVP:Jitter(%)` | -607.496 | 359.244 | -1.691 | 0.0926404 | 0.0463202 |
| `MDVP:Jitter(Abs)` | 57886.9 | 24141.9 | 2.398 | 0.0175654 | 0.00878272 |
| `MDVP:RAP` | -27096 | 49395.3 | -0.5486 | 0.584023 | 0.292011 |
| `MDVP:PPQ` | 25.4063 | 468.455 | 0.05423 | 0.956811 | 0.478406 |
| `Jitter:DDP` | 9119.58 | 16469.7 | 0.5537 | 0.58049 | 0.290245 |
| `MDVP:Shimmer` | 308.934 | 180.428 | 1.712 | 0.0886576 | 0.0443288 |
| `MDVP:Shimmer(dB)` | -10.7544 | 6.30472 | -1.706 | 0.0898559 | 0.0449279 |
| `Shimmer:APQ3` | 27659.8 | 47486.4 | 0.5825 | 0.561007 | 0.280503 |
| `Shimmer:APQ5` | -193.034 | 106.121 | -1.819 | 0.0706519 | 0.0353259 |
| `MDVP:APQ` | 58.9856 | 57.5355 | 1.025 | 0.306707 | 0.153353 |
| `Shimmer:DDA` | -9349 | 15824.3 | -0.5908 | 0.555429 | 0.277715 |
| NHR | -16.4308 | 10.4675 | -1.57 | 0.118322 | 0.0591609 |
| status | -0.440425 | 0.402548 | -1.094 | 0.275444 | 0.137722 |
| RPDE | -17.3235 | 1.96094 | -8.834 | 1.14017e-15 | 5.70083e-16 |
| DFA | -2.39779 | 3.91539 | -0.6124 | 0.541082 | 0.270541 |
| spread1 | 0.412283 | 0.520231 | 0.7925 | 0.429161 | 0.214581 |
| spread2 | 9.43257 | 2.48128 | 3.801 | 0.000199457 | 9.97286e-05 |
| D2 | -3.01521 | 0.560677 | -5.378 | 2.43219e-07 | 1.2161e-07 |
| PPE | -11.5931 | 7.29296 | -1.59 | 0.113756 | 0.0568778 |
| Multiple Linear Regression - Regression Statistics | |
| Multiple R | 0.92975 |
| R-squared | 0.864435 |
| Adjusted R-squared | 0.847095 |
| F-TEST (value) | 49.8527 |
| F-TEST (DF numerator) | 22 |
| F-TEST (DF denominator) | 172 |
| p-value | 0 |
| Multiple Linear Regression - Residual Statistics | |
| Residual Standard Deviation | 1.73061 |
| Sum Squared Residuals | 515.142 |
| Multiple Linear Regression - Actuals, Interpolation, and Residuals | |||
| Time or Index | Actuals | Interpolation Forecast | Residuals Prediction Error |
| 1 | 21.033 | 21.8147 | -0.781673 |
| 2 | 19.085 | 17.88 | 1.205 |
| 3 | 20.651 | 20.6142 | 0.0368069 |
| 4 | 20.644 | 19.8977 | 0.7463 |
| 5 | 19.649 | 17.8434 | 1.80562 |
| 6 | 21.378 | 21.0811 | 0.296875 |
| 7 | 24.886 | 23.9635 | 0.922532 |
| 8 | 26.892 | 21.9572 | 4.93478 |
| 9 | 21.812 | 22.8598 | -1.04783 |
| 10 | 21.862 | 22.7886 | -0.9266 |
| 11 | 21.118 | 23.2228 | -2.10478 |
| 12 | 21.414 | 21.9825 | -0.568495 |
| 13 | 25.703 | 25.1305 | 0.572493 |
| 14 | 24.889 | 25.1938 | -0.304784 |
| 15 | 24.922 | 24.1152 | 0.806816 |
| 16 | 25.175 | 22.7922 | 2.38279 |
| 17 | 22.333 | 22.7276 | -0.394585 |
| 18 | 20.376 | 18.7979 | 1.57806 |
| 19 | 17.28 | 16.2373 | 1.04271 |
| 20 | 17.153 | 19.2281 | -2.07515 |
| 21 | 17.536 | 17.6966 | -0.160588 |
| 22 | 19.493 | 19.1524 | 0.340568 |
| 23 | 22.468 | 18.5105 | 3.95752 |
| 24 | 20.422 | 19.808 | 0.61399 |
| 25 | 23.831 | 23.732 | 0.0990145 |
| 26 | 22.066 | 21.2856 | 0.780396 |
| 27 | 25.908 | 24.6323 | 1.27574 |
| 28 | 25.119 | 25.2575 | -0.138471 |
| 29 | 25.97 | 25.6228 | 0.347177 |
| 30 | 25.678 | 26.0542 | -0.376244 |
| 31 | 26.775 | 26.9769 | -0.20195 |
| 32 | 30.94 | 25.9824 | 4.95761 |
| 33 | 30.775 | 27.2321 | 3.54287 |
| 34 | 32.684 | 29.2177 | 3.46629 |
| 35 | 33.047 | 30.2594 | 2.78757 |
| 36 | 31.732 | 26.649 | 5.08305 |
| 37 | 23.216 | 24.285 | -1.06901 |
| 38 | 24.951 | 24.9748 | -0.0238369 |
| 39 | 26.738 | 25.8271 | 0.910869 |
| 40 | 26.31 | 25.6879 | 0.622119 |
| 41 | 26.822 | 26.6703 | 0.15168 |
| 42 | 26.453 | 25.3717 | 1.08127 |
| 43 | 22.736 | 25.4329 | -2.69693 |
| 44 | 23.145 | 24.1229 | -0.977853 |
| 45 | 25.368 | 24.4391 | 0.928851 |
| 46 | 25.032 | 23.9907 | 1.04127 |
| 47 | 24.602 | 23.5245 | 1.07755 |
| 48 | 26.805 | 23.521 | 3.28397 |
| 49 | 23.162 | 23.9941 | -0.832125 |
| 50 | 24.971 | 24.7033 | 0.267747 |
| 51 | 25.135 | 24.4718 | 0.663179 |
| 52 | 25.03 | 24.5702 | 0.45976 |
| 53 | 24.692 | 24.9847 | -0.292684 |
| 54 | 25.429 | 25.442 | -0.0129822 |
| 55 | 21.028 | 21.7066 | -0.678616 |
| 56 | 20.767 | 20.4565 | 0.310539 |
| 57 | 21.422 | 21.1416 | 0.280394 |
| 58 | 22.817 | 22.5163 | 0.300727 |
| 59 | 22.603 | 22.6618 | -0.0587932 |
| 60 | 21.66 | 21.6905 | -0.0305386 |
| 61 | 25.554 | 24.3335 | 1.22047 |
| 62 | 26.138 | 22.9502 | 3.1878 |
| 63 | 25.856 | 25.1895 | 0.666465 |
| 64 | 25.964 | 25.6091 | 0.354946 |
| 65 | 26.415 | 27.7039 | -1.28887 |
| 66 | 24.547 | 25.5631 | -1.01611 |
| 67 | 19.56 | 21.5225 | -1.96253 |
| 68 | 19.979 | 21.7009 | -1.72194 |
| 69 | 20.338 | 19.8748 | 0.463165 |
| 70 | 21.718 | 19.6008 | 2.11718 |
| 71 | 20.264 | 21.2394 | -0.975388 |
| 72 | 18.57 | 18.4675 | 0.10253 |
| 73 | 25.742 | 24.6253 | 1.11672 |
| 74 | 24.178 | 25.7637 | -1.58573 |
| 75 | 25.438 | 23.366 | 2.07203 |
| 76 | 25.197 | 25.7988 | -0.601798 |
| 77 | 23.37 | 23.1908 | 0.179202 |
| 78 | 25.82 | 25.4869 | 0.333127 |
| 79 | 21.875 | 21.1086 | 0.766433 |
| 80 | 19.2 | 19.648 | -0.447999 |
| 81 | 19.055 | 18.3098 | 0.7452 |
| 82 | 19.659 | 20.5354 | -0.876364 |
| 83 | 20.536 | 20.4814 | 0.0545529 |
| 84 | 22.244 | 20.9498 | 1.29421 |
| 85 | 13.893 | 16.0439 | -2.15089 |
| 86 | 16.176 | 17.5715 | -1.39555 |
| 87 | 15.924 | 19.4839 | -3.55991 |
| 88 | 13.922 | 14.1213 | -0.199258 |
| 89 | 14.739 | 14.1836 | 0.555383 |
| 90 | 11.866 | 13.5734 | -1.70741 |
| 91 | 11.744 | 11.6174 | 0.12656 |
| 92 | 19.664 | 17.4373 | 2.22673 |
| 93 | 18.78 | 19.8437 | -1.06371 |
| 94 | 20.969 | 19.4874 | 1.48159 |
| 95 | 22.219 | 21.5985 | 0.620478 |
| 96 | 21.693 | 22.352 | -0.658954 |
| 97 | 22.663 | 24.0394 | -1.37638 |
| 98 | 15.338 | 16.9803 | -1.64227 |
| 99 | 15.433 | 18.3378 | -2.90478 |
| 100 | 12.435 | 13.034 | -0.598997 |
| 101 | 8.867 | 7.15369 | 1.71331 |
| 102 | 15.06 | 15.4178 | -0.357798 |
| 103 | 10.489 | 8.46895 | 2.02005 |
| 104 | 26.759 | 27.5678 | -0.808786 |
| 105 | 28.409 | 28.97 | -0.561001 |
| 106 | 27.421 | 27.5432 | -0.122225 |
| 107 | 29.746 | 27.4932 | 2.2528 |
| 108 | 26.833 | 26.6536 | 0.179413 |
| 109 | 29.928 | 27.6279 | 2.30012 |
| 110 | 21.934 | 20.5286 | 1.4054 |
| 111 | 23.239 | 22.3956 | 0.843367 |
| 112 | 22.407 | 25.0188 | -2.61177 |
| 113 | 21.305 | 20.7716 | 0.533428 |
| 114 | 23.671 | 24.1009 | -0.429854 |
| 115 | 21.864 | 23.0361 | -1.17212 |
| 116 | 23.693 | 23.2313 | 0.461744 |
| 117 | 26.356 | 24.9339 | 1.42206 |
| 118 | 25.69 | 22.7762 | 2.91376 |
| 119 | 25.02 | 24.3526 | 0.667403 |
| 120 | 24.581 | 23.4193 | 1.16169 |
| 121 | 24.743 | 24.3776 | 0.365388 |
| 122 | 27.166 | 25.0434 | 2.12265 |
| 123 | 18.305 | 19.2247 | -0.919732 |
| 124 | 18.784 | 19.4432 | -0.659205 |
| 125 | 19.196 | 20.0156 | -0.819564 |
| 126 | 18.857 | 20.1883 | -1.33126 |
| 127 | 18.178 | 20.3423 | -2.1643 |
| 128 | 18.33 | 19.9873 | -1.65728 |
| 129 | 26.842 | 24.4095 | 2.43245 |
| 130 | 26.369 | 24.7267 | 1.64228 |
| 131 | 23.949 | 23.5889 | 0.360138 |
| 132 | 26.017 | 23.6192 | 2.39783 |
| 133 | 23.389 | 23.8364 | -0.447406 |
| 134 | 25.619 | 25.2139 | 0.405126 |
| 135 | 17.06 | 18.8078 | -1.74779 |
| 136 | 17.707 | 18.1152 | -0.40815 |
| 137 | 19.013 | 20.2493 | -1.23627 |
| 138 | 16.747 | 16.9743 | -0.227264 |
| 139 | 17.366 | 17.9993 | -0.633269 |
| 140 | 18.801 | 20.4379 | -1.63692 |
| 141 | 18.54 | 17.7436 | 0.796358 |
| 142 | 15.648 | 14.6462 | 1.00181 |
| 143 | 18.702 | 19.6201 | -0.918128 |
| 144 | 18.687 | 21.4609 | -2.77391 |
| 145 | 20.68 | 21.8709 | -1.19094 |
| 146 | 20.366 | 20.6004 | -0.234365 |
| 147 | 12.359 | 13.2786 | -0.919605 |
| 148 | 14.367 | 16.6034 | -2.23641 |
| 149 | 12.298 | 12.4631 | -0.165054 |
| 150 | 14.989 | 15.8744 | -0.885429 |
| 151 | 12.529 | 14.3987 | -1.86966 |
| 152 | 8.441 | 5.59106 | 2.84994 |
| 153 | 9.449 | 7.2289 | 2.2201 |
| 154 | 21.52 | 23.6868 | -2.16676 |
| 155 | 21.824 | 19.363 | 2.46098 |
| 156 | 22.431 | 20.2237 | 2.20731 |
| 157 | 22.953 | 19.9518 | 3.00121 |
| 158 | 19.075 | 18.3569 | 0.718056 |
| 159 | 21.534 | 19.0072 | 2.52676 |
| 160 | 19.651 | 22.0077 | -2.35673 |
| 161 | 20.437 | 22.7397 | -2.30271 |
| 162 | 19.388 | 20.9681 | -1.58015 |
| 163 | 18.954 | 19.2187 | -0.26467 |
| 164 | 21.219 | 23.5587 | -2.33973 |
| 165 | 18.447 | 20.2972 | -1.85016 |
| 166 | 24.078 | 23.0899 | 0.988083 |
| 167 | 24.679 | 27.1715 | -2.49245 |
| 168 | 21.083 | 25.0734 | -3.99043 |
| 169 | 19.269 | 21.7144 | -2.4454 |
| 170 | 21.02 | 23.5669 | -2.5469 |
| 171 | 21.528 | 23.0717 | -1.54367 |
| 172 | 26.436 | 26.376 | 0.0599968 |
| 173 | 26.55 | 27.4208 | -0.870777 |
| 174 | 26.547 | 27.2817 | -0.734691 |
| 175 | 25.445 | 27.4044 | -1.95942 |
| 176 | 26.005 | 26.3427 | -0.337675 |
| 177 | 26.143 | 26.3369 | -0.193897 |
| 178 | 24.151 | 25.1355 | -0.984507 |
| 179 | 24.412 | 24.7503 | -0.338303 |
| 180 | 23.683 | 24.0148 | -0.331829 |
| 181 | 23.133 | 25.5345 | -2.40147 |
| 182 | 22.866 | 23.7518 | -0.885793 |
| 183 | 23.008 | 24.9307 | -1.9227 |
| 184 | 23.079 | 23.3603 | -0.281304 |
| 185 | 22.085 | 22.3128 | -0.227801 |
| 186 | 24.199 | 23.3735 | 0.825451 |
| 187 | 23.958 | 24.5489 | -0.590924 |
| 188 | 25.023 | 24.9239 | 0.0990985 |
| 189 | 24.775 | 24.7534 | 0.0216134 |
| 190 | 19.368 | 20.2501 | -0.882056 |
| 191 | 19.517 | 19.9133 | -0.396279 |
| 192 | 19.147 | 20.588 | -1.44101 |
| 193 | 17.883 | 19.7288 | -1.8458 |
| 194 | 19.02 | 22.9544 | -3.93442 |
| 195 | 21.209 | 22.1582 | -0.949203 |
| Goldfeld-Quandt test for Heteroskedasticity | |||
| p-values | Alternative Hypothesis | ||
| breakpoint index | greater | 2-sided | less |
| 26 | 0.245686 | 0.491372 | 0.754314 |
| 27 | 0.164886 | 0.329773 | 0.835114 |
| 28 | 0.0846709 | 0.169342 | 0.915329 |
| 29 | 0.0945246 | 0.189049 | 0.905475 |
| 30 | 0.0506887 | 0.101377 | 0.949311 |
| 31 | 0.0247184 | 0.0494368 | 0.975282 |
| 32 | 0.139649 | 0.279299 | 0.860351 |
| 33 | 0.164199 | 0.328398 | 0.835801 |
| 34 | 0.281091 | 0.562182 | 0.718909 |
| 35 | 0.272281 | 0.544563 | 0.727719 |
| 36 | 0.281318 | 0.562636 | 0.718682 |
| 37 | 0.216335 | 0.43267 | 0.783665 |
| 38 | 0.178976 | 0.357952 | 0.821024 |
| 39 | 0.135355 | 0.270711 | 0.864645 |
| 40 | 0.105506 | 0.211012 | 0.894494 |
| 41 | 0.0751383 | 0.150277 | 0.924862 |
| 42 | 0.0715045 | 0.143009 | 0.928496 |
| 43 | 0.374161 | 0.748322 | 0.625839 |
| 44 | 0.330022 | 0.660043 | 0.669978 |
| 45 | 0.330662 | 0.661323 | 0.669338 |
| 46 | 0.283454 | 0.566907 | 0.716546 |
| 47 | 0.246075 | 0.49215 | 0.753925 |
| 48 | 0.312186 | 0.624373 | 0.687814 |
| 49 | 0.66995 | 0.660099 | 0.33005 |
| 50 | 0.629477 | 0.741047 | 0.370523 |
| 51 | 0.596709 | 0.806581 | 0.403291 |
| 52 | 0.550898 | 0.898204 | 0.449102 |
| 53 | 0.498809 | 0.997618 | 0.501191 |
| 54 | 0.44772 | 0.895439 | 0.55228 |
| 55 | 0.392216 | 0.784431 | 0.607784 |
| 56 | 0.382165 | 0.76433 | 0.617835 |
| 57 | 0.337295 | 0.674591 | 0.662705 |
| 58 | 0.295998 | 0.591996 | 0.704002 |
| 59 | 0.263866 | 0.527733 | 0.736134 |
| 60 | 0.243138 | 0.486275 | 0.756862 |
| 61 | 0.356115 | 0.712231 | 0.643885 |
| 62 | 0.55316 | 0.893681 | 0.44684 |
| 63 | 0.602801 | 0.794399 | 0.397199 |
| 64 | 0.595634 | 0.808731 | 0.404366 |
| 65 | 0.653178 | 0.693645 | 0.346822 |
| 66 | 0.761963 | 0.476074 | 0.238037 |
| 67 | 0.777846 | 0.444307 | 0.222154 |
| 68 | 0.758841 | 0.482318 | 0.241159 |
| 69 | 0.854188 | 0.291624 | 0.145812 |
| 70 | 0.828723 | 0.342555 | 0.171277 |
| 71 | 0.805055 | 0.389891 | 0.194945 |
| 72 | 0.773141 | 0.453718 | 0.226859 |
| 73 | 0.751046 | 0.497909 | 0.248954 |
| 74 | 0.757046 | 0.485908 | 0.242954 |
| 75 | 0.772402 | 0.455197 | 0.227598 |
| 76 | 0.73647 | 0.527059 | 0.26353 |
| 77 | 0.696484 | 0.607033 | 0.303516 |
| 78 | 0.671864 | 0.656273 | 0.328136 |
| 79 | 0.668819 | 0.662363 | 0.331181 |
| 80 | 0.630506 | 0.738988 | 0.369494 |
| 81 | 0.600924 | 0.798152 | 0.399076 |
| 82 | 0.566902 | 0.866196 | 0.433098 |
| 83 | 0.535301 | 0.929397 | 0.464699 |
| 84 | 0.542013 | 0.915973 | 0.457987 |
| 85 | 0.567895 | 0.86421 | 0.432105 |
| 86 | 0.560722 | 0.878555 | 0.439278 |
| 87 | 0.628394 | 0.743212 | 0.371606 |
| 88 | 0.6094 | 0.781201 | 0.3906 |
| 89 | 0.595565 | 0.80887 | 0.404435 |
| 90 | 0.667274 | 0.665452 | 0.332726 |
| 91 | 0.697694 | 0.604611 | 0.302306 |
| 92 | 0.761118 | 0.477765 | 0.238882 |
| 93 | 0.744489 | 0.511022 | 0.255511 |
| 94 | 0.767965 | 0.464071 | 0.232035 |
| 95 | 0.760512 | 0.478976 | 0.239488 |
| 96 | 0.730553 | 0.538894 | 0.269447 |
| 97 | 0.716946 | 0.566108 | 0.283054 |
| 98 | 0.80205 | 0.3959 | 0.19795 |
| 99 | 0.822384 | 0.355233 | 0.177616 |
| 100 | 0.852266 | 0.295468 | 0.147734 |
| 101 | 0.934543 | 0.130915 | 0.0654574 |
| 102 | 0.921579 | 0.156842 | 0.0784211 |
| 103 | 0.921751 | 0.156498 | 0.0782492 |
| 104 | 0.906034 | 0.187932 | 0.0939659 |
| 105 | 0.887125 | 0.225749 | 0.112875 |
| 106 | 0.875101 | 0.249798 | 0.124899 |
| 107 | 0.911117 | 0.177767 | 0.0888834 |
| 108 | 0.896824 | 0.206352 | 0.103176 |
| 109 | 0.932148 | 0.135704 | 0.067852 |
| 110 | 0.937543 | 0.124915 | 0.0624575 |
| 111 | 0.928401 | 0.143199 | 0.0715993 |
| 112 | 0.933175 | 0.133651 | 0.0668254 |
| 113 | 0.916885 | 0.166229 | 0.0831147 |
| 114 | 0.907299 | 0.185403 | 0.0927014 |
| 115 | 0.888685 | 0.22263 | 0.111315 |
| 116 | 0.865416 | 0.269168 | 0.134584 |
| 117 | 0.856639 | 0.286723 | 0.143361 |
| 118 | 0.903011 | 0.193979 | 0.0969895 |
| 119 | 0.891277 | 0.217446 | 0.108723 |
| 120 | 0.885222 | 0.229557 | 0.114778 |
| 121 | 0.878541 | 0.242918 | 0.121459 |
| 122 | 0.905479 | 0.189041 | 0.0945207 |
| 123 | 0.893794 | 0.212413 | 0.106206 |
| 124 | 0.878228 | 0.243545 | 0.121772 |
| 125 | 0.859864 | 0.280273 | 0.140136 |
| 126 | 0.842147 | 0.315706 | 0.157853 |
| 127 | 0.841461 | 0.317077 | 0.158539 |
| 128 | 0.818213 | 0.363575 | 0.181787 |
| 129 | 0.90777 | 0.184459 | 0.0922295 |
| 130 | 0.909881 | 0.180238 | 0.0901189 |
| 131 | 0.887009 | 0.225981 | 0.112991 |
| 132 | 0.908809 | 0.182383 | 0.0911913 |
| 133 | 0.888297 | 0.223406 | 0.111703 |
| 134 | 0.886798 | 0.226405 | 0.113202 |
| 135 | 0.869447 | 0.261105 | 0.130553 |
| 136 | 0.852228 | 0.295544 | 0.147772 |
| 137 | 0.832164 | 0.335673 | 0.167836 |
| 138 | 0.830467 | 0.339065 | 0.169533 |
| 139 | 0.82119 | 0.35762 | 0.17881 |
| 140 | 0.920897 | 0.158206 | 0.0791031 |
| 141 | 0.900073 | 0.199853 | 0.0999266 |
| 142 | 0.900611 | 0.198777 | 0.0993886 |
| 143 | 0.873483 | 0.253034 | 0.126517 |
| 144 | 0.867418 | 0.265165 | 0.132582 |
| 145 | 0.856725 | 0.286551 | 0.143275 |
| 146 | 0.829506 | 0.340987 | 0.170494 |
| 147 | 0.785918 | 0.428165 | 0.214082 |
| 148 | 0.818744 | 0.362512 | 0.181256 |
| 149 | 0.962237 | 0.0755261 | 0.0377631 |
| 150 | 0.946858 | 0.106285 | 0.0531424 |
| 151 | 0.926801 | 0.146398 | 0.0731988 |
| 152 | 0.932833 | 0.134334 | 0.0671671 |
| 153 | 0.999707 | 0.000586679 | 0.00029334 |
| 154 | 0.999434 | 0.00113115 | 0.000565577 |
| 155 | 0.999481 | 0.0010374 | 0.000518699 |
| 156 | 0.999021 | 0.00195769 | 0.000978844 |
| 157 | 0.999665 | 0.000670205 | 0.000335102 |
| 158 | 0.999206 | 0.00158802 | 0.000794009 |
| 159 | 0.999991 | 1.77914e-05 | 8.89572e-06 |
| 160 | 0.999973 | 5.33338e-05 | 2.66669e-05 |
| 161 | 0.999951 | 9.78115e-05 | 4.89058e-05 |
| 162 | 0.999842 | 0.000315377 | 0.000157688 |
| 163 | 0.999757 | 0.000486559 | 0.000243279 |
| 164 | 0.999251 | 0.00149719 | 0.000748596 |
| 165 | 0.997793 | 0.00441462 | 0.00220731 |
| 166 | 0.999049 | 0.00190117 | 0.000950584 |
| 167 | 0.999872 | 0.000256785 | 0.000128393 |
| 168 | 0.999671 | 0.000658193 | 0.000329096 |
| 169 | 0.999344 | 0.00131185 | 0.000655927 |
| Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity | |||
| Description | # significant tests | % significant tests | OK/NOK |
| 1% type I error level | 17 | 0.118056 | NOK |
| 5% type I error level | 18 | 0.125 | NOK |
| 10% type I error level | 19 | 0.131944 | NOK |
