| Multiple Linear Regression - Estimated Regression Equation |
| status[t] = + 1.27312 -0.00241584`MDVP:Fo(Hz)`[t] -0.000267953`MDVP:Fhi(Hz)`[t] -0.00238313`MDVP:Flo(Hz)`[t] -107.3`MDVP:Jitter(%)`[t] -1672.44`MDVP:Jitter(Abs)`[t] + 274.896`MDVP:RAP`[t] + 78.9838`MDVP:PPQ`[t] -50.9132`Jitter:DDP`[t] + 66.639`MDVP:Shimmer`[t] -1.02881`MDVP:Shimmer(dB)`[t] + 3104.02`Shimmer:APQ3`[t] -18.9423`Shimmer:APQ5`[t] -5.5773`MDVP:APQ`[t] -1055.27`Shimmer:DDA`[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) | 1.27312 | 0.22822 | 5.578 | 8.78234e-08 | 4.39117e-08 |
| `MDVP:Fo(Hz)` | -0.00241584 | 0.00144702 | -1.67 | 0.0967519 | 0.0483759 |
| `MDVP:Fhi(Hz)` | -0.000267953 | 0.000349968 | -0.7656 | 0.444888 | 0.222444 |
| `MDVP:Flo(Hz)` | -0.00238313 | 0.000840033 | -2.837 | 0.00507706 | 0.00253853 |
| `MDVP:Jitter(%)` | -107.3 | 70.6916 | -1.518 | 0.130805 | 0.0654023 |
| `MDVP:Jitter(Abs)` | -1672.44 | 4683 | -0.3571 | 0.721413 | 0.360707 |
| `MDVP:RAP` | 274.896 | 10272.4 | 0.02676 | 0.97868 | 0.48934 |
| `MDVP:PPQ` | 78.9838 | 79.1937 | 0.9973 | 0.319934 | 0.159967 |
| `Jitter:DDP` | -50.9132 | 3424.76 | -0.01487 | 0.988155 | 0.494078 |
| `MDVP:Shimmer` | 66.639 | 37.4733 | 1.778 | 0.0770417 | 0.0385209 |
| `MDVP:Shimmer(dB)` | -1.02881 | 1.24194 | -0.8284 | 0.408547 | 0.204273 |
| `Shimmer:APQ3` | 3104.02 | 9961.46 | 0.3116 | 0.755703 | 0.377851 |
| `Shimmer:APQ5` | -18.9423 | 21.7206 | -0.8721 | 0.384321 | 0.192161 |
| `MDVP:APQ` | -5.5773 | 11.469 | -0.4863 | 0.627349 | 0.313675 |
| `Shimmer:DDA` | -1055.27 | 3319.5 | -0.3179 | 0.750928 | 0.375464 |
| Multiple Linear Regression - Regression Statistics | |
| Multiple R | 0.561764 |
| R-squared | 0.315579 |
| Adjusted R-squared | 0.262346 |
| F-TEST (value) | 5.92828 |
| F-TEST (DF numerator) | 14 |
| F-TEST (DF denominator) | 180 |
| p-value | 1.60655e-09 |
| Multiple Linear Regression - Residual Statistics | |
| Residual Standard Deviation | 0.370926 |
| Sum Squared Residuals | 24.7655 |
| Multiple Linear Regression - Actuals, Interpolation, and Residuals | |||
| Time or Index | Actuals | Interpolation Forecast | Residuals Prediction Error |
| 1 | 1 | 1.07415 | -0.0741475 |
| 2 | 1 | 1.009 | -0.00900408 |
| 3 | 1 | 1.06105 | -0.0610518 |
| 4 | 1 | 0.996118 | 0.00388224 |
| 5 | 1 | 1.00721 | -0.00721396 |
| 6 | 1 | 1.02715 | -0.0271471 |
| 7 | 1 | 0.806338 | 0.193662 |
| 8 | 1 | 0.838361 | 0.161639 |
| 9 | 1 | 0.923918 | 0.0760822 |
| 10 | 1 | 0.977561 | 0.0224388 |
| 11 | 1 | 0.956358 | 0.0436416 |
| 12 | 1 | 1.00617 | -0.00616681 |
| 13 | 1 | 0.622248 | 0.377752 |
| 14 | 1 | 0.812263 | 0.187737 |
| 15 | 1 | 0.750473 | 0.249527 |
| 16 | 1 | 0.730098 | 0.269902 |
| 17 | 1 | 0.686451 | 0.313549 |
| 18 | 1 | 0.866975 | 0.133025 |
| 19 | 1 | 1.19236 | -0.192361 |
| 20 | 1 | 0.906063 | 0.0939366 |
| 21 | 1 | 1.09739 | -0.0973892 |
| 22 | 1 | 0.992572 | 0.00742812 |
| 23 | 1 | 0.972342 | 0.0276583 |
| 24 | 1 | 0.887448 | 0.112552 |
| 25 | 1 | 0.751083 | 0.248917 |
| 26 | 1 | 1.08388 | -0.0838822 |
| 27 | 1 | 0.830074 | 0.169926 |
| 28 | 1 | 0.8087 | 0.1913 |
| 29 | 1 | 0.833413 | 0.166587 |
| 30 | 1 | 0.814263 | 0.185737 |
| 31 | 0 | 0.402973 | -0.402973 |
| 32 | 0 | 0.374153 | -0.374153 |
| 33 | 0 | 0.409645 | -0.409645 |
| 34 | 0 | 0.352107 | -0.352107 |
| 35 | 0 | 0.366348 | -0.366348 |
| 36 | 0 | 0.380132 | -0.380132 |
| 37 | 1 | 0.544856 | 0.455144 |
| 38 | 1 | 0.578792 | 0.421208 |
| 39 | 1 | 0.50094 | 0.49906 |
| 40 | 1 | 0.493328 | 0.506672 |
| 41 | 1 | 0.47584 | 0.52416 |
| 42 | 1 | 0.504695 | 0.495305 |
| 43 | 0 | 0.223286 | -0.223286 |
| 44 | 0 | 0.216787 | -0.216787 |
| 45 | 0 | 0.183469 | -0.183469 |
| 46 | 0 | 0.172374 | -0.172374 |
| 47 | 0 | 0.167814 | -0.167814 |
| 48 | 0 | 0.255561 | -0.255561 |
| 49 | 0 | 0.567142 | -0.567142 |
| 50 | 0 | 0.599487 | -0.599487 |
| 51 | 0 | 0.6356 | -0.6356 |
| 52 | 0 | 0.595488 | -0.595488 |
| 53 | 0 | 0.616892 | -0.616892 |
| 54 | 0 | 0.621838 | -0.621838 |
| 55 | 1 | 0.808567 | 0.191433 |
| 56 | 1 | 0.758064 | 0.241936 |
| 57 | 1 | 0.875962 | 0.124038 |
| 58 | 1 | 0.690135 | 0.309865 |
| 59 | 1 | 0.722906 | 0.277094 |
| 60 | 1 | 0.644968 | 0.355032 |
| 61 | 0 | 0.57071 | -0.57071 |
| 62 | 0 | 0.596376 | -0.596376 |
| 63 | 0 | 0.303831 | -0.303831 |
| 64 | 0 | 0.247204 | -0.247204 |
| 65 | 0 | 0.232275 | -0.232275 |
| 66 | 0 | 0.513784 | -0.513784 |
| 67 | 1 | 0.827783 | 0.172217 |
| 68 | 1 | 0.884007 | 0.115993 |
| 69 | 1 | 1.08088 | -0.0808825 |
| 70 | 1 | 1.02725 | -0.027246 |
| 71 | 1 | 0.89699 | 0.10301 |
| 72 | 1 | 1.05715 | -0.0571538 |
| 73 | 1 | 0.72836 | 0.27164 |
| 74 | 1 | 0.691177 | 0.308823 |
| 75 | 1 | 0.837153 | 0.162847 |
| 76 | 1 | 0.806538 | 0.193462 |
| 77 | 1 | 0.911042 | 0.0889577 |
| 78 | 1 | 0.803811 | 0.196189 |
| 79 | 1 | 0.978884 | 0.0211163 |
| 80 | 1 | 0.874184 | 0.125816 |
| 81 | 1 | 1.02264 | -0.0226388 |
| 82 | 1 | 0.960449 | 0.0395513 |
| 83 | 1 | 0.895357 | 0.104643 |
| 84 | 1 | 0.915769 | 0.0842314 |
| 85 | 1 | 0.909169 | 0.0908311 |
| 86 | 1 | 0.696217 | 0.303783 |
| 87 | 1 | 0.701882 | 0.298118 |
| 88 | 1 | 0.910449 | 0.0895513 |
| 89 | 1 | 0.988254 | 0.0117464 |
| 90 | 1 | 0.686917 | 0.313083 |
| 91 | 1 | 1.02809 | -0.0280874 |
| 92 | 1 | 0.995294 | 0.00470594 |
| 93 | 1 | 0.763732 | 0.236268 |
| 94 | 1 | 0.884868 | 0.115132 |
| 95 | 1 | 0.962574 | 0.0374261 |
| 96 | 1 | 0.7286 | 0.2714 |
| 97 | 1 | 0.751834 | 0.248166 |
| 98 | 1 | 0.838866 | 0.161134 |
| 99 | 1 | 0.980127 | 0.0198733 |
| 100 | 1 | 1.06651 | -0.0665116 |
| 101 | 1 | 1.11749 | -0.117487 |
| 102 | 1 | 1.23521 | -0.235209 |
| 103 | 1 | 1.1683 | -0.168303 |
| 104 | 1 | 0.754612 | 0.245388 |
| 105 | 1 | 0.661405 | 0.338595 |
| 106 | 1 | 0.64394 | 0.35606 |
| 107 | 1 | 0.574451 | 0.425549 |
| 108 | 1 | 0.695976 | 0.304024 |
| 109 | 1 | 0.66276 | 0.33724 |
| 110 | 1 | 0.728719 | 0.271281 |
| 111 | 1 | 0.715749 | 0.284251 |
| 112 | 1 | 0.41217 | 0.58783 |
| 113 | 1 | 0.494494 | 0.505506 |
| 114 | 1 | 0.420169 | 0.579831 |
| 115 | 1 | 0.675349 | 0.324651 |
| 116 | 1 | 0.644215 | 0.355785 |
| 117 | 1 | 0.694991 | 0.305009 |
| 118 | 1 | 0.646793 | 0.353207 |
| 119 | 1 | 0.459967 | 0.540033 |
| 120 | 1 | 0.379796 | 0.620204 |
| 121 | 1 | 0.725368 | 0.274632 |
| 122 | 1 | 0.610933 | 0.389067 |
| 123 | 1 | 0.923919 | 0.0760814 |
| 124 | 1 | 0.764027 | 0.235973 |
| 125 | 1 | 0.815292 | 0.184708 |
| 126 | 1 | 0.814984 | 0.185016 |
| 127 | 1 | 0.891896 | 0.108104 |
| 128 | 1 | 0.805419 | 0.194581 |
| 129 | 1 | 0.667543 | 0.332457 |
| 130 | 1 | 0.754494 | 0.245506 |
| 131 | 1 | 0.776057 | 0.223943 |
| 132 | 1 | 0.833216 | 0.166784 |
| 133 | 1 | 0.79071 | 0.20929 |
| 134 | 1 | 0.73812 | 0.26188 |
| 135 | 1 | 1.01 | -0.00999714 |
| 136 | 1 | 0.967921 | 0.0320794 |
| 137 | 1 | 1.18389 | -0.183887 |
| 138 | 1 | 1.04258 | -0.042583 |
| 139 | 1 | 1.06976 | -0.0697632 |
| 140 | 1 | 0.939283 | 0.0607174 |
| 141 | 1 | 0.736826 | 0.263174 |
| 142 | 1 | 0.880376 | 0.119624 |
| 143 | 1 | 0.576305 | 0.423695 |
| 144 | 1 | 0.641116 | 0.358884 |
| 145 | 1 | 0.475609 | 0.524391 |
| 146 | 1 | 0.618098 | 0.381902 |
| 147 | 1 | 1.14152 | -0.141519 |
| 148 | 1 | 0.858701 | 0.141299 |
| 149 | 1 | 1.00281 | -0.00280602 |
| 150 | 1 | 0.783814 | 0.216186 |
| 151 | 1 | 0.826393 | 0.173607 |
| 152 | 1 | 1.31141 | -0.311412 |
| 153 | 1 | 1.01317 | -0.0131718 |
| 154 | 1 | 0.853793 | 0.146207 |
| 155 | 1 | 0.872672 | 0.127328 |
| 156 | 1 | 0.893041 | 0.106959 |
| 157 | 1 | 0.818294 | 0.181706 |
| 158 | 1 | 1.08521 | -0.0852109 |
| 159 | 1 | 0.888767 | 0.111233 |
| 160 | 1 | 1.06195 | -0.0619461 |
| 161 | 1 | 1.37002 | -0.370019 |
| 162 | 1 | 0.973325 | 0.0266745 |
| 163 | 1 | 1.02875 | -0.0287536 |
| 164 | 1 | 0.80464 | 0.19536 |
| 165 | 1 | 0.845513 | 0.154487 |
| 166 | 0 | 0.554188 | -0.554188 |
| 167 | 0 | 0.160159 | -0.160159 |
| 168 | 0 | 0.143073 | -0.143073 |
| 169 | 0 | 0.700266 | -0.700266 |
| 170 | 0 | 0.212776 | -0.212776 |
| 171 | 0 | 0.164126 | -0.164126 |
| 172 | 0 | 0.784235 | -0.784235 |
| 173 | 0 | 0.815043 | -0.815043 |
| 174 | 0 | 0.816142 | -0.816142 |
| 175 | 0 | 0.807764 | -0.807764 |
| 176 | 0 | 0.767632 | -0.767632 |
| 177 | 0 | 0.822677 | -0.822677 |
| 178 | 1 | 0.624895 | 0.375105 |
| 179 | 1 | 0.627253 | 0.372747 |
| 180 | 1 | 0.659551 | 0.340449 |
| 181 | 1 | 0.692314 | 0.307686 |
| 182 | 1 | 0.669667 | 0.330333 |
| 183 | 1 | 0.673371 | 0.326629 |
| 184 | 0 | 0.850573 | -0.850573 |
| 185 | 0 | 0.856737 | -0.856737 |
| 186 | 0 | 0.849574 | -0.849574 |
| 187 | 0 | 0.720055 | -0.720055 |
| 188 | 0 | 0.702413 | -0.702413 |
| 189 | 0 | 0.808258 | -0.808258 |
| 190 | 0 | 0.696702 | -0.696702 |
| 191 | 0 | 0.785412 | -0.785412 |
| 192 | 0 | 0.617763 | -0.617763 |
| 193 | 0 | 0.363409 | -0.363409 |
| 194 | 0 | 0.579766 | -0.579766 |
| 195 | 0 | 0.581501 | -0.581501 |
| Goldfeld-Quandt test for Heteroskedasticity | |||
| p-values | Alternative Hypothesis | ||
| breakpoint index | greater | 2-sided | less |
| 18 | 1.30916e-47 | 2.61833e-47 | 1 |
| 19 | 7.05273e-63 | 1.41055e-62 | 1 |
| 20 | 3.33181e-82 | 6.66362e-82 | 1 |
| 21 | 5.54596e-106 | 1.10919e-105 | 1 |
| 22 | 5.50761e-111 | 1.10152e-110 | 1 |
| 23 | 1.74386e-124 | 3.48772e-124 | 1 |
| 24 | 9.39641e-142 | 1.87928e-141 | 1 |
| 25 | 4.10354e-158 | 8.20708e-158 | 1 |
| 26 | 1.94283e-189 | 3.88566e-189 | 1 |
| 27 | 1.59177e-188 | 3.18355e-188 | 1 |
| 28 | 8.24713e-201 | 1.64943e-200 | 1 |
| 29 | 1.79971e-219 | 3.59942e-219 | 1 |
| 30 | 1.12989e-235 | 2.25979e-235 | 1 |
| 31 | 1.36648e-06 | 2.73297e-06 | 0.999999 |
| 32 | 9.9873e-07 | 1.99746e-06 | 0.999999 |
| 33 | 3.16984e-07 | 6.33967e-07 | 1 |
| 34 | 9.80748e-08 | 1.9615e-07 | 1 |
| 35 | 3.20453e-08 | 6.40906e-08 | 1 |
| 36 | 9.68898e-09 | 1.9378e-08 | 1 |
| 37 | 3.88477e-07 | 7.76954e-07 | 1 |
| 38 | 4.1741e-06 | 8.3482e-06 | 0.999996 |
| 39 | 0.000422347 | 0.000844694 | 0.999578 |
| 40 | 0.00262854 | 0.00525707 | 0.997371 |
| 41 | 0.0085338 | 0.0170676 | 0.991466 |
| 42 | 0.00960381 | 0.0192076 | 0.990396 |
| 43 | 0.00697765 | 0.0139553 | 0.993022 |
| 44 | 0.00463155 | 0.0092631 | 0.995368 |
| 45 | 0.00319579 | 0.00639158 | 0.996804 |
| 46 | 0.00205618 | 0.00411236 | 0.997944 |
| 47 | 0.00133105 | 0.00266209 | 0.998669 |
| 48 | 0.000862024 | 0.00172405 | 0.999138 |
| 49 | 0.00276312 | 0.00552625 | 0.997237 |
| 50 | 0.0040184 | 0.00803679 | 0.995982 |
| 51 | 0.00463818 | 0.00927637 | 0.995362 |
| 52 | 0.00411606 | 0.00823211 | 0.995884 |
| 53 | 0.00478244 | 0.00956489 | 0.995218 |
| 54 | 0.00573045 | 0.0114609 | 0.99427 |
| 55 | 0.00544706 | 0.0108941 | 0.994553 |
| 56 | 0.00572708 | 0.0114542 | 0.994273 |
| 57 | 0.00388508 | 0.00777015 | 0.996115 |
| 58 | 0.00283874 | 0.00567749 | 0.997161 |
| 59 | 0.00197334 | 0.00394668 | 0.998027 |
| 60 | 0.00131017 | 0.00262033 | 0.99869 |
| 61 | 0.00364014 | 0.00728029 | 0.99636 |
| 62 | 0.00414748 | 0.00829497 | 0.995853 |
| 63 | 0.0032981 | 0.0065962 | 0.996702 |
| 64 | 0.00255204 | 0.00510409 | 0.997448 |
| 65 | 0.00204549 | 0.00409097 | 0.997955 |
| 66 | 0.00203648 | 0.00407296 | 0.997964 |
| 67 | 0.00137198 | 0.00274395 | 0.998628 |
| 68 | 0.000925711 | 0.00185142 | 0.999074 |
| 69 | 0.00063081 | 0.00126162 | 0.999369 |
| 70 | 0.000651886 | 0.00130377 | 0.999348 |
| 71 | 0.000444413 | 0.000888825 | 0.999556 |
| 72 | 0.000323299 | 0.000646599 | 0.999677 |
| 73 | 0.000222282 | 0.000444564 | 0.999778 |
| 74 | 0.000459877 | 0.000919754 | 0.99954 |
| 75 | 0.000310322 | 0.000620644 | 0.99969 |
| 76 | 0.000202881 | 0.000405761 | 0.999797 |
| 77 | 0.000128929 | 0.000257859 | 0.999871 |
| 78 | 8.10562e-05 | 0.000162112 | 0.999919 |
| 79 | 5.11223e-05 | 0.000102245 | 0.999949 |
| 80 | 3.90094e-05 | 7.80188e-05 | 0.999961 |
| 81 | 2.54963e-05 | 5.09925e-05 | 0.999975 |
| 82 | 1.67048e-05 | 3.34095e-05 | 0.999983 |
| 83 | 1.12964e-05 | 2.25928e-05 | 0.999989 |
| 84 | 8.26524e-06 | 1.65305e-05 | 0.999992 |
| 85 | 5.59944e-06 | 1.11989e-05 | 0.999994 |
| 86 | 1.34364e-05 | 2.68727e-05 | 0.999987 |
| 87 | 3.8012e-05 | 7.60241e-05 | 0.999962 |
| 88 | 3.36463e-05 | 6.72927e-05 | 0.999966 |
| 89 | 3.21661e-05 | 6.43323e-05 | 0.999968 |
| 90 | 2.22503e-05 | 4.45007e-05 | 0.999978 |
| 91 | 1.59445e-05 | 3.18889e-05 | 0.999984 |
| 92 | 1.35556e-05 | 2.71112e-05 | 0.999986 |
| 93 | 9.15462e-06 | 1.83092e-05 | 0.999991 |
| 94 | 5.90536e-06 | 1.18107e-05 | 0.999994 |
| 95 | 3.70364e-06 | 7.40729e-06 | 0.999996 |
| 96 | 2.55381e-06 | 5.10762e-06 | 0.999997 |
| 97 | 1.66184e-06 | 3.32368e-06 | 0.999998 |
| 98 | 1.16467e-06 | 2.32934e-06 | 0.999999 |
| 99 | 6.64716e-07 | 1.32943e-06 | 0.999999 |
| 100 | 5.41756e-07 | 1.08351e-06 | 0.999999 |
| 101 | 3.38739e-07 | 6.77479e-07 | 1 |
| 102 | 8.95255e-07 | 1.79051e-06 | 0.999999 |
| 103 | 2.27903e-06 | 4.55807e-06 | 0.999998 |
| 104 | 1.95217e-06 | 3.90433e-06 | 0.999998 |
| 105 | 1.58925e-06 | 3.17849e-06 | 0.999998 |
| 106 | 1.56246e-06 | 3.12492e-06 | 0.999998 |
| 107 | 1.54685e-06 | 3.09369e-06 | 0.999998 |
| 108 | 1.3449e-06 | 2.6898e-06 | 0.999999 |
| 109 | 9.66697e-07 | 1.93339e-06 | 0.999999 |
| 110 | 7.89786e-07 | 1.57957e-06 | 0.999999 |
| 111 | 6.185e-07 | 1.237e-06 | 0.999999 |
| 112 | 1.15961e-06 | 2.31922e-06 | 0.999999 |
| 113 | 1.4748e-06 | 2.94959e-06 | 0.999999 |
| 114 | 5.33094e-06 | 1.06619e-05 | 0.999995 |
| 115 | 4.43015e-06 | 8.8603e-06 | 0.999996 |
| 116 | 5.55502e-06 | 1.111e-05 | 0.999994 |
| 117 | 5.03736e-06 | 1.00747e-05 | 0.999995 |
| 118 | 4.277e-06 | 8.554e-06 | 0.999996 |
| 119 | 1.23286e-05 | 2.46572e-05 | 0.999988 |
| 120 | 7.39156e-05 | 0.000147831 | 0.999926 |
| 121 | 0.000141677 | 0.000283354 | 0.999858 |
| 122 | 0.000269931 | 0.000539863 | 0.99973 |
| 123 | 0.000185111 | 0.000370223 | 0.999815 |
| 124 | 0.000155862 | 0.000311724 | 0.999844 |
| 125 | 0.000164121 | 0.000328242 | 0.999836 |
| 126 | 0.000243404 | 0.000486807 | 0.999757 |
| 127 | 0.000333626 | 0.000667253 | 0.999666 |
| 128 | 0.000474612 | 0.000949224 | 0.999525 |
| 129 | 0.000379497 | 0.000758995 | 0.999621 |
| 130 | 0.000414971 | 0.000829942 | 0.999585 |
| 131 | 0.00065694 | 0.00131388 | 0.999343 |
| 132 | 0.000545208 | 0.00109042 | 0.999455 |
| 133 | 0.000784811 | 0.00156962 | 0.999215 |
| 134 | 0.00131938 | 0.00263876 | 0.998681 |
| 135 | 0.000934262 | 0.00186852 | 0.999066 |
| 136 | 0.000627914 | 0.00125583 | 0.999372 |
| 137 | 0.000439687 | 0.000879375 | 0.99956 |
| 138 | 0.000305856 | 0.000611713 | 0.999694 |
| 139 | 0.000197324 | 0.000394649 | 0.999803 |
| 140 | 0.000125556 | 0.000251112 | 0.999874 |
| 141 | 0.000122749 | 0.000245497 | 0.999877 |
| 142 | 9.16219e-05 | 0.000183244 | 0.999908 |
| 143 | 9.2951e-05 | 0.000185902 | 0.999907 |
| 144 | 0.000476137 | 0.000952275 | 0.999524 |
| 145 | 0.00141295 | 0.0028259 | 0.998587 |
| 146 | 0.00521735 | 0.0104347 | 0.994783 |
| 147 | 0.00385848 | 0.00771695 | 0.996142 |
| 148 | 0.00305842 | 0.00611683 | 0.996942 |
| 149 | 0.00291962 | 0.00583924 | 0.99708 |
| 150 | 0.00213124 | 0.00426249 | 0.997869 |
| 151 | 0.00153727 | 0.00307454 | 0.998463 |
| 152 | 0.00746169 | 0.0149234 | 0.992538 |
| 153 | 0.00529206 | 0.0105841 | 0.994708 |
| 154 | 0.00353292 | 0.00706584 | 0.996467 |
| 155 | 0.00266209 | 0.00532419 | 0.997338 |
| 156 | 0.00179073 | 0.00358146 | 0.998209 |
| 157 | 0.00268487 | 0.00536974 | 0.997315 |
| 158 | 0.00192604 | 0.00385209 | 0.998074 |
| 159 | 0.00124177 | 0.00248353 | 0.998758 |
| 160 | 0.00105472 | 0.00210943 | 0.998945 |
| 161 | 0.00118596 | 0.00237191 | 0.998814 |
| 162 | 0.000803301 | 0.0016066 | 0.999197 |
| 163 | 0.00176046 | 0.00352091 | 0.99824 |
| 164 | 0.00254418 | 0.00508837 | 0.997456 |
| 165 | 0.00563079 | 0.0112616 | 0.994369 |
| 166 | 0.0107268 | 0.0214536 | 0.989273 |
| 167 | 0.0117907 | 0.0235813 | 0.988209 |
| 168 | 0.0138748 | 0.0277496 | 0.986125 |
| 169 | 0.025762 | 0.0515239 | 0.974238 |
| 170 | 0.0286705 | 0.0573411 | 0.971329 |
| 171 | 0.964078 | 0.0718431 | 0.0359215 |
| 172 | 0.986271 | 0.0274585 | 0.0137293 |
| 173 | 0.977089 | 0.0458215 | 0.0229108 |
| 174 | 0.957027 | 0.0859464 | 0.0429732 |
| 175 | 0.965781 | 0.0684389 | 0.0342194 |
| 176 | 0.952858 | 0.0942832 | 0.0471416 |
| 177 | 0.990974 | 0.0180521 | 0.00902606 |
| Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity | |||
| Description | # significant tests | % significant tests | OK/NOK |
| 1% type I error level | 138 | 0.8625 | NOK |
| 5% type I error level | 154 | 0.9625 | NOK |
| 10% type I error level | 160 | 1 | NOK |
