| Multiple Linear Regression - Estimated Regression Equation |
| status[t] = + 2.12152 -0.00205772`MDVP:Fo(Hz)`[t] -0.000160532`MDVP:Fhi(Hz)`[t] -0.00160039`MDVP:Flo(Hz)`[t] -189.054`MDVP:Jitter(%)`[t] -3486.65`MDVP:Jitter(Abs)`[t] + 50.5909`MDVP:RAP`[t] -19.0523`MDVP:PPQ`[t] + 82.6813`Jitter:DDP`[t] + 32.3002`MDVP:Shimmer`[t] + 0.559556`MDVP:Shimmer(dB)`[t] -527.429`Shimmer:APQ3`[t] -28.6202`Shimmer:APQ5`[t] -4.58067`MDVP:APQ`[t] + 167.445`Shimmer:DDA`[t] -0.0136496HNR[t] -0.996443RPDE[t] + 0.714837DFA[t] + 0.150265spread1[t] + 1.16425spread2[t] + 0.0376355D2[t] + 1.2366PPE[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) | 2.12152 | 1.15764 | 1.833 | 0.0685769 | 0.0342884 |
| `MDVP:Fo(Hz)` | -0.00205772 | 0.00149086 | -1.38 | 0.169298 | 0.0846488 |
| `MDVP:Fhi(Hz)` | -0.000160532 | 0.000319664 | -0.5022 | 0.616171 | 0.308086 |
| `MDVP:Flo(Hz)` | -0.00160039 | 0.000802129 | -1.995 | 0.0475931 | 0.0237966 |
| `MDVP:Jitter(%)` | -189.054 | 66.469 | -2.844 | 0.0049887 | 0.00249435 |
| `MDVP:Jitter(Abs)` | -3486.65 | 4632.2 | -0.7527 | 0.452655 | 0.226327 |
| `MDVP:RAP` | 50.5909 | 9327.07 | 0.005424 | 0.995678 | 0.497839 |
| `MDVP:PPQ` | -19.0523 | 87.5207 | -0.2177 | 0.827928 | 0.413964 |
| `Jitter:DDP` | 82.6813 | 3109.45 | 0.02659 | 0.978817 | 0.489409 |
| `MDVP:Shimmer` | 32.3002 | 34.133 | 0.9463 | 0.345313 | 0.172656 |
| `MDVP:Shimmer(dB)` | 0.559556 | 1.20145 | 0.4657 | 0.641993 | 0.320996 |
| `Shimmer:APQ3` | -527.429 | 8984.33 | -0.05871 | 0.953254 | 0.476627 |
| `Shimmer:APQ5` | -28.6202 | 20.0834 | -1.425 | 0.155941 | 0.0779703 |
| `MDVP:APQ` | -4.58067 | 10.8464 | -0.4223 | 0.673316 | 0.336658 |
| `Shimmer:DDA` | 167.445 | 2993.97 | 0.05593 | 0.955464 | 0.477732 |
| HNR | -0.0136496 | 0.0142791 | -0.9559 | 0.340449 | 0.170224 |
| RPDE | -0.996443 | 0.440106 | -2.264 | 0.0248099 | 0.012405 |
| DFA | 0.714837 | 0.684698 | 1.044 | 0.297934 | 0.148967 |
| spread1 | 0.150265 | 0.0964013 | 1.559 | 0.120885 | 0.0604425 |
| spread2 | 1.16425 | 0.472206 | 2.466 | 0.0146559 | 0.00732794 |
| D2 | 0.0376355 | 0.114153 | 0.3297 | 0.742031 | 0.371016 |
| PPE | 1.2366 | 1.38569 | 0.8924 | 0.373413 | 0.186707 |
| Multiple Linear Regression - Regression Statistics | |
| Multiple R | 0.698533 |
| R-squared | 0.487948 |
| Adjusted R-squared | 0.425791 |
| F-TEST (value) | 7.8503 |
| F-TEST (DF numerator) | 21 |
| F-TEST (DF denominator) | 173 |
| p-value | 3.33067e-16 |
| Multiple Linear Regression - Residual Statistics | |
| Residual Standard Deviation | 0.327262 |
| Sum Squared Residuals | 18.5284 |
| Multiple Linear Regression - Actuals, Interpolation, and Residuals | |||
| Time or Index | Actuals | Interpolation Forecast | Residuals Prediction Error |
| 1 | 1 | 0.979763 | 0.0202371 |
| 2 | 1 | 1.06001 | -0.0600093 |
| 3 | 1 | 0.931265 | 0.0687352 |
| 4 | 1 | 1.04407 | -0.0440734 |
| 5 | 1 | 0.806361 | 0.193639 |
| 6 | 1 | 0.953022 | 0.0469781 |
| 7 | 1 | 0.829163 | 0.170837 |
| 8 | 1 | 0.612656 | 0.387344 |
| 9 | 1 | 0.957059 | 0.0429413 |
| 10 | 1 | 1.15656 | -0.156564 |
| 11 | 1 | 1.10408 | -0.10408 |
| 12 | 1 | 1.23293 | -0.232934 |
| 13 | 1 | 0.44651 | 0.55349 |
| 14 | 1 | 0.876648 | 0.123352 |
| 15 | 1 | 0.706897 | 0.293103 |
| 16 | 1 | 0.713187 | 0.286813 |
| 17 | 1 | 0.538091 | 0.461909 |
| 18 | 1 | 1.33841 | -0.338409 |
| 19 | 1 | 1.29737 | -0.297367 |
| 20 | 1 | 0.953978 | 0.0460215 |
| 21 | 1 | 1.08176 | -0.0817638 |
| 22 | 1 | 0.889156 | 0.110844 |
| 23 | 1 | 1.10663 | -0.106625 |
| 24 | 1 | 0.874449 | 0.125551 |
| 25 | 1 | 0.807845 | 0.192155 |
| 26 | 1 | 0.919013 | 0.0809874 |
| 27 | 1 | 0.805109 | 0.194891 |
| 28 | 1 | 0.799408 | 0.200592 |
| 29 | 1 | 0.642608 | 0.357392 |
| 30 | 1 | 0.685125 | 0.314875 |
| 31 | 0 | 0.311942 | -0.311942 |
| 32 | 0 | 0.176845 | -0.176845 |
| 33 | 0 | 0.235515 | -0.235515 |
| 34 | 0 | 0.168604 | -0.168604 |
| 35 | 0 | 0.121597 | -0.121597 |
| 36 | 0 | 0.226265 | -0.226265 |
| 37 | 1 | 0.813874 | 0.186126 |
| 38 | 1 | 0.842926 | 0.157074 |
| 39 | 1 | 0.62319 | 0.37681 |
| 40 | 1 | 0.775492 | 0.224508 |
| 41 | 1 | 0.628275 | 0.371725 |
| 42 | 1 | 0.463815 | 0.536185 |
| 43 | 0 | 0.234416 | -0.234416 |
| 44 | 0 | 0.20283 | -0.20283 |
| 45 | 0 | 0.0252666 | -0.0252666 |
| 46 | 0 | 0.0990818 | -0.0990818 |
| 47 | 0 | 0.0482579 | -0.0482579 |
| 48 | 0 | -0.0305641 | 0.0305641 |
| 49 | 0 | 0.317604 | -0.317604 |
| 50 | 0 | 0.424937 | -0.424937 |
| 51 | 0 | 0.415118 | -0.415118 |
| 52 | 0 | 0.410603 | -0.410603 |
| 53 | 0 | 0.401264 | -0.401264 |
| 54 | 0 | 0.529848 | -0.529848 |
| 55 | 1 | 0.844119 | 0.155881 |
| 56 | 1 | 0.789832 | 0.210168 |
| 57 | 1 | 0.878356 | 0.121644 |
| 58 | 1 | 0.771614 | 0.228386 |
| 59 | 1 | 0.788842 | 0.211158 |
| 60 | 1 | 0.642666 | 0.357334 |
| 61 | 0 | 0.383186 | -0.383186 |
| 62 | 0 | 0.284649 | -0.284649 |
| 63 | 0 | 0.269771 | -0.269771 |
| 64 | 0 | 0.206423 | -0.206423 |
| 65 | 0 | 0.137344 | -0.137344 |
| 66 | 0 | 0.301143 | -0.301143 |
| 67 | 1 | 0.874772 | 0.125228 |
| 68 | 1 | 0.844276 | 0.155724 |
| 69 | 1 | 0.880721 | 0.119279 |
| 70 | 1 | 0.895074 | 0.104926 |
| 71 | 1 | 0.812265 | 0.187735 |
| 72 | 1 | 1.05026 | -0.0502616 |
| 73 | 1 | 0.891379 | 0.108621 |
| 74 | 1 | 0.8986 | 0.1014 |
| 75 | 1 | 1.05919 | -0.0591864 |
| 76 | 1 | 1.07546 | -0.0754602 |
| 77 | 1 | 1.08121 | -0.0812088 |
| 78 | 1 | 1.03051 | -0.0305133 |
| 79 | 1 | 0.942234 | 0.0577658 |
| 80 | 1 | 1.06855 | -0.0685532 |
| 81 | 1 | 1.16782 | -0.16782 |
| 82 | 1 | 1.10711 | -0.10711 |
| 83 | 1 | 1.011 | -0.0110029 |
| 84 | 1 | 0.705636 | 0.294364 |
| 85 | 1 | 1.11298 | -0.112979 |
| 86 | 1 | 0.895922 | 0.104078 |
| 87 | 1 | 0.735266 | 0.264734 |
| 88 | 1 | 0.982115 | 0.0178847 |
| 89 | 1 | 1.03062 | -0.0306225 |
| 90 | 1 | 1.31606 | -0.316064 |
| 91 | 1 | 1.25663 | -0.256625 |
| 92 | 1 | 0.761737 | 0.238263 |
| 93 | 1 | 0.74038 | 0.25962 |
| 94 | 1 | 0.828958 | 0.171042 |
| 95 | 1 | 0.786549 | 0.213451 |
| 96 | 1 | 0.748867 | 0.251133 |
| 97 | 1 | 0.781612 | 0.218388 |
| 98 | 1 | 1.03543 | -0.0354296 |
| 99 | 1 | 0.807022 | 0.192978 |
| 100 | 1 | 0.96739 | 0.0326101 |
| 101 | 1 | 1.05383 | -0.0538324 |
| 102 | 1 | 1.00166 | -0.00165807 |
| 103 | 1 | 1.0622 | -0.0622043 |
| 104 | 1 | 0.618998 | 0.381002 |
| 105 | 1 | 0.597142 | 0.402858 |
| 106 | 1 | 0.579584 | 0.420416 |
| 107 | 1 | 0.547422 | 0.452578 |
| 108 | 1 | 0.698821 | 0.301179 |
| 109 | 1 | 0.637103 | 0.362897 |
| 110 | 1 | 0.829436 | 0.170564 |
| 111 | 1 | 1.01226 | -0.0122588 |
| 112 | 1 | 0.541776 | 0.458224 |
| 113 | 1 | 0.761949 | 0.238051 |
| 114 | 1 | 0.669099 | 0.330901 |
| 115 | 1 | 0.774594 | 0.225406 |
| 116 | 1 | 0.943876 | 0.0561237 |
| 117 | 1 | 0.70975 | 0.29025 |
| 118 | 1 | 1.05716 | -0.0571587 |
| 119 | 1 | 0.86682 | 0.13318 |
| 120 | 1 | 0.725991 | 0.274009 |
| 121 | 1 | 0.538102 | 0.461898 |
| 122 | 1 | 0.987092 | 0.0129078 |
| 123 | 1 | 0.943997 | 0.0560034 |
| 124 | 1 | 0.673971 | 0.326029 |
| 125 | 1 | 0.604785 | 0.395215 |
| 126 | 1 | 0.609318 | 0.390682 |
| 127 | 1 | 0.630233 | 0.369767 |
| 128 | 1 | 0.617426 | 0.382574 |
| 129 | 1 | 0.412768 | 0.587232 |
| 130 | 1 | 0.791211 | 0.208789 |
| 131 | 1 | 0.790214 | 0.209786 |
| 132 | 1 | 0.879364 | 0.120636 |
| 133 | 1 | 1.06496 | -0.0649564 |
| 134 | 1 | 0.649426 | 0.350574 |
| 135 | 1 | 0.960951 | 0.0390494 |
| 136 | 1 | 0.96054 | 0.0394598 |
| 137 | 1 | 1.17426 | -0.174255 |
| 138 | 1 | 1.17544 | -0.175442 |
| 139 | 1 | 0.942313 | 0.0576875 |
| 140 | 1 | 0.788299 | 0.211701 |
| 141 | 1 | 0.909661 | 0.0903393 |
| 142 | 1 | 0.833151 | 0.166849 |
| 143 | 1 | 0.730128 | 0.269872 |
| 144 | 1 | 0.694532 | 0.305468 |
| 145 | 1 | 0.546024 | 0.453976 |
| 146 | 1 | 0.845215 | 0.154785 |
| 147 | 1 | 1.31535 | -0.315349 |
| 148 | 1 | 1.07768 | -0.0776754 |
| 149 | 1 | 1.20659 | -0.206594 |
| 150 | 1 | 0.858109 | 0.141891 |
| 151 | 1 | 0.934736 | 0.0652644 |
| 152 | 1 | 0.983107 | 0.0168933 |
| 153 | 1 | 0.963023 | 0.0369774 |
| 154 | 1 | 0.866877 | 0.133123 |
| 155 | 1 | 0.932309 | 0.0676913 |
| 156 | 1 | 1.00628 | -0.00628452 |
| 157 | 1 | 0.749275 | 0.250725 |
| 158 | 1 | 1.21289 | -0.212893 |
| 159 | 1 | 0.886759 | 0.113241 |
| 160 | 1 | 0.868541 | 0.131459 |
| 161 | 1 | 1.14056 | -0.140557 |
| 162 | 1 | 1.04106 | -0.0410619 |
| 163 | 1 | 0.918516 | 0.0814844 |
| 164 | 1 | 0.768534 | 0.231466 |
| 165 | 1 | 1.36484 | -0.364843 |
| 166 | 0 | 0.44317 | -0.44317 |
| 167 | 0 | 0.206045 | -0.206045 |
| 168 | 0 | 0.0609586 | -0.0609586 |
| 169 | 0 | 0.88485 | -0.88485 |
| 170 | 0 | 0.176505 | -0.176505 |
| 171 | 0 | 0.0689514 | -0.0689514 |
| 172 | 0 | 0.804733 | -0.804733 |
| 173 | 0 | 0.859847 | -0.859847 |
| 174 | 0 | 0.90374 | -0.90374 |
| 175 | 0 | 0.88374 | -0.88374 |
| 176 | 0 | 0.858033 | -0.858033 |
| 177 | 0 | 0.808416 | -0.808416 |
| 178 | 1 | 0.65681 | 0.34319 |
| 179 | 1 | 0.735129 | 0.264871 |
| 180 | 1 | 0.949898 | 0.0501017 |
| 181 | 1 | 0.762107 | 0.237893 |
| 182 | 1 | 0.891144 | 0.108856 |
| 183 | 1 | 0.742862 | 0.257138 |
| 184 | 0 | 0.606097 | -0.606097 |
| 185 | 0 | 0.635265 | -0.635265 |
| 186 | 0 | 0.616986 | -0.616986 |
| 187 | 0 | 0.378459 | -0.378459 |
| 188 | 0 | 0.465226 | -0.465226 |
| 189 | 0 | 0.422688 | -0.422688 |
| 190 | 0 | 0.442635 | -0.442635 |
| 191 | 0 | 0.640623 | -0.640623 |
| 192 | 0 | 0.672477 | -0.672477 |
| 193 | 0 | -0.138198 | 0.138198 |
| 194 | 0 | 0.338933 | -0.338933 |
| 195 | 0 | 0.586277 | -0.586277 |
| Goldfeld-Quandt test for Heteroskedasticity | |||
| p-values | Alternative Hypothesis | ||
| breakpoint index | greater | 2-sided | less |
| 25 | 2.27992e-49 | 4.55984e-49 | 1 |
| 26 | 3.55425e-71 | 7.10851e-71 | 1 |
| 27 | 1.9849e-81 | 3.9698e-81 | 1 |
| 28 | 7.48785e-92 | 1.49757e-91 | 1 |
| 29 | 7.6731e-110 | 1.53462e-109 | 1 |
| 30 | 2.61255e-121 | 5.22511e-121 | 1 |
| 31 | 0.000854365 | 0.00170873 | 0.999146 |
| 32 | 0.000299658 | 0.000599315 | 0.9997 |
| 33 | 9.83695e-05 | 0.000196739 | 0.999902 |
| 34 | 2.96326e-05 | 5.92653e-05 | 0.99997 |
| 35 | 1.49641e-05 | 2.99283e-05 | 0.999985 |
| 36 | 4.74139e-06 | 9.48278e-06 | 0.999995 |
| 37 | 6.65594e-05 | 0.000133119 | 0.999933 |
| 38 | 8.01292e-05 | 0.000160258 | 0.99992 |
| 39 | 0.0016839 | 0.0033678 | 0.998316 |
| 40 | 0.00162672 | 0.00325344 | 0.998373 |
| 41 | 0.00229942 | 0.00459884 | 0.997701 |
| 42 | 0.00189196 | 0.00378392 | 0.998108 |
| 43 | 0.00149679 | 0.00299357 | 0.998503 |
| 44 | 0.00087169 | 0.00174338 | 0.999128 |
| 45 | 0.000465541 | 0.000931082 | 0.999534 |
| 46 | 0.000246164 | 0.000492328 | 0.999754 |
| 47 | 0.000152432 | 0.000304864 | 0.999848 |
| 48 | 0.000199653 | 0.000399307 | 0.9998 |
| 49 | 0.000241119 | 0.000482237 | 0.999759 |
| 50 | 0.000174172 | 0.000348344 | 0.999826 |
| 51 | 0.000120162 | 0.000240323 | 0.99988 |
| 52 | 8.23553e-05 | 0.000164711 | 0.999918 |
| 53 | 6.64636e-05 | 0.000132927 | 0.999934 |
| 54 | 7.04863e-05 | 0.000140973 | 0.99993 |
| 55 | 9.58247e-05 | 0.000191649 | 0.999904 |
| 56 | 0.000110681 | 0.000221362 | 0.999889 |
| 57 | 6.68513e-05 | 0.000133703 | 0.999933 |
| 58 | 4.30801e-05 | 8.61602e-05 | 0.999957 |
| 59 | 2.78139e-05 | 5.56278e-05 | 0.999972 |
| 60 | 1.8529e-05 | 3.70581e-05 | 0.999981 |
| 61 | 0.000683238 | 0.00136648 | 0.999317 |
| 62 | 0.000619465 | 0.00123893 | 0.999381 |
| 63 | 0.000693853 | 0.00138771 | 0.999306 |
| 64 | 0.00058971 | 0.00117942 | 0.99941 |
| 65 | 0.000394678 | 0.000789357 | 0.999605 |
| 66 | 0.000390715 | 0.00078143 | 0.999609 |
| 67 | 0.000250143 | 0.000500286 | 0.99975 |
| 68 | 0.000164903 | 0.000329807 | 0.999835 |
| 69 | 0.000187593 | 0.000375185 | 0.999812 |
| 70 | 0.000138842 | 0.000277684 | 0.999861 |
| 71 | 8.39241e-05 | 0.000167848 | 0.999916 |
| 72 | 5.52085e-05 | 0.000110417 | 0.999945 |
| 73 | 3.25531e-05 | 6.51063e-05 | 0.999967 |
| 74 | 8.88846e-05 | 0.000177769 | 0.999911 |
| 75 | 0.000118181 | 0.000236361 | 0.999882 |
| 76 | 8.7446e-05 | 0.000174892 | 0.999913 |
| 77 | 5.56798e-05 | 0.00011136 | 0.999944 |
| 78 | 4.39686e-05 | 8.79371e-05 | 0.999956 |
| 79 | 2.59112e-05 | 5.18225e-05 | 0.999974 |
| 80 | 1.83698e-05 | 3.67396e-05 | 0.999982 |
| 81 | 1.36952e-05 | 2.73904e-05 | 0.999986 |
| 82 | 7.93226e-06 | 1.58645e-05 | 0.999992 |
| 83 | 5.25983e-06 | 1.05197e-05 | 0.999995 |
| 84 | 3.3559e-06 | 6.71181e-06 | 0.999997 |
| 85 | 2.34145e-06 | 4.68289e-06 | 0.999998 |
| 86 | 2.93564e-06 | 5.87128e-06 | 0.999997 |
| 87 | 6.21013e-06 | 1.24203e-05 | 0.999994 |
| 88 | 4.95237e-06 | 9.90475e-06 | 0.999995 |
| 89 | 4.29251e-06 | 8.58502e-06 | 0.999996 |
| 90 | 3.22619e-06 | 6.45237e-06 | 0.999997 |
| 91 | 2.63603e-06 | 5.27206e-06 | 0.999997 |
| 92 | 3.33437e-06 | 6.66874e-06 | 0.999997 |
| 93 | 2.12329e-06 | 4.24658e-06 | 0.999998 |
| 94 | 1.42579e-06 | 2.85158e-06 | 0.999999 |
| 95 | 9.28213e-07 | 1.85643e-06 | 0.999999 |
| 96 | 5.80735e-07 | 1.16147e-06 | 0.999999 |
| 97 | 3.61105e-07 | 7.2221e-07 | 1 |
| 98 | 2.01192e-07 | 4.02384e-07 | 1 |
| 99 | 1.23901e-07 | 2.47802e-07 | 1 |
| 100 | 7.36563e-08 | 1.47313e-07 | 1 |
| 101 | 5.35092e-08 | 1.07018e-07 | 1 |
| 102 | 5.15713e-08 | 1.03143e-07 | 1 |
| 103 | 6.70255e-08 | 1.34051e-07 | 1 |
| 104 | 1.31189e-07 | 2.62378e-07 | 1 |
| 105 | 2.08636e-07 | 4.17271e-07 | 1 |
| 106 | 3.90934e-07 | 7.81868e-07 | 1 |
| 107 | 9.4807e-07 | 1.89614e-06 | 0.999999 |
| 108 | 7.01353e-07 | 1.40271e-06 | 0.999999 |
| 109 | 1.60531e-06 | 3.21063e-06 | 0.999998 |
| 110 | 1.25224e-06 | 2.50448e-06 | 0.999999 |
| 111 | 7.50725e-07 | 1.50145e-06 | 0.999999 |
| 112 | 1.59023e-06 | 3.18046e-06 | 0.999998 |
| 113 | 1.06328e-06 | 2.12656e-06 | 0.999999 |
| 114 | 1.29783e-06 | 2.59567e-06 | 0.999999 |
| 115 | 1.31024e-06 | 2.62049e-06 | 0.999999 |
| 116 | 8.64746e-07 | 1.72949e-06 | 0.999999 |
| 117 | 1.24559e-06 | 2.49118e-06 | 0.999999 |
| 118 | 7.16003e-07 | 1.43201e-06 | 0.999999 |
| 119 | 5.21621e-07 | 1.04324e-06 | 0.999999 |
| 120 | 1.33787e-06 | 2.67573e-06 | 0.999999 |
| 121 | 8.5145e-06 | 1.7029e-05 | 0.999991 |
| 122 | 2.15922e-05 | 4.31844e-05 | 0.999978 |
| 123 | 1.36011e-05 | 2.72023e-05 | 0.999986 |
| 124 | 9.31627e-06 | 1.86325e-05 | 0.999991 |
| 125 | 6.46396e-06 | 1.29279e-05 | 0.999994 |
| 126 | 6.42568e-06 | 1.28514e-05 | 0.999994 |
| 127 | 1.35904e-05 | 2.71809e-05 | 0.999986 |
| 128 | 0.000156659 | 0.000313317 | 0.999843 |
| 129 | 0.000393375 | 0.000786751 | 0.999607 |
| 130 | 0.000555212 | 0.00111042 | 0.999445 |
| 131 | 0.00058949 | 0.00117898 | 0.999411 |
| 132 | 0.000417638 | 0.000835276 | 0.999582 |
| 133 | 0.000405038 | 0.000810076 | 0.999595 |
| 134 | 0.00181177 | 0.00362355 | 0.998188 |
| 135 | 0.00214676 | 0.00429351 | 0.997853 |
| 136 | 0.00207744 | 0.00415489 | 0.997923 |
| 137 | 0.00238451 | 0.00476903 | 0.997615 |
| 138 | 0.00219883 | 0.00439766 | 0.997801 |
| 139 | 0.00147126 | 0.00294252 | 0.998529 |
| 140 | 0.00163713 | 0.00327427 | 0.998363 |
| 141 | 0.00144335 | 0.0028867 | 0.998557 |
| 142 | 0.00147897 | 0.00295793 | 0.998521 |
| 143 | 0.00128697 | 0.00257395 | 0.998713 |
| 144 | 0.00479556 | 0.00959113 | 0.995204 |
| 145 | 0.00420415 | 0.0084083 | 0.995796 |
| 146 | 0.00326258 | 0.00652516 | 0.996737 |
| 147 | 0.00229064 | 0.00458128 | 0.997709 |
| 148 | 0.00146708 | 0.00293416 | 0.998533 |
| 149 | 0.001365 | 0.00273 | 0.998635 |
| 150 | 0.000900657 | 0.00180131 | 0.999099 |
| 151 | 0.00105225 | 0.0021045 | 0.998948 |
| 152 | 0.00302526 | 0.00605053 | 0.996975 |
| 153 | 0.0331963 | 0.0663925 | 0.966804 |
| 154 | 0.0318669 | 0.0637339 | 0.968133 |
| 155 | 0.036802 | 0.0736039 | 0.963198 |
| 156 | 0.0275058 | 0.0550116 | 0.972494 |
| 157 | 0.125243 | 0.250486 | 0.874757 |
| 158 | 0.101098 | 0.202196 | 0.898902 |
| 159 | 0.306803 | 0.613605 | 0.693197 |
| 160 | 0.255207 | 0.510414 | 0.744793 |
| 161 | 0.211836 | 0.423673 | 0.788164 |
| 162 | 0.175382 | 0.350764 | 0.824618 |
| 163 | 0.162933 | 0.325867 | 0.837067 |
| 164 | 0.264759 | 0.529518 | 0.735241 |
| 165 | 0.505723 | 0.988554 | 0.494277 |
| 166 | 0.639391 | 0.721218 | 0.360609 |
| 167 | 0.924654 | 0.150692 | 0.0753459 |
| 168 | 0.880827 | 0.238346 | 0.119173 |
| 169 | 0.93672 | 0.12656 | 0.06328 |
| 170 | 0.85663 | 0.286739 | 0.14337 |
| Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity | |||
| Description | # significant tests | % significant tests | OK/NOK |
| 1% type I error level | 128 | 0.876712 | NOK |
| 5% type I error level | 128 | 0.876712 | NOK |
| 10% type I error level | 132 | 0.90411 | NOK |
