| Multiple Linear Regression - Estimated Regression Equation |
| status[t] = + 1.5292 -0.00279621`MDVP:Fo(Hz)`[t] -0.000391709`MDVP:Fhi(Hz)`[t] -0.00277833`MDVP:Flo(Hz)`[t] -84.0811`MDVP:Jitter(%)`[t] -3422.74`MDVP:Jitter(Abs)`[t] + 120.008`MDVP:RAP`[t] + 96.6197`MDVP:PPQ`[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) | 1.5292 | 0.207605 | 7.366 | 5.46086e-12 | 2.73043e-12 |
| `MDVP:Fo(Hz)` | -0.00279621 | 0.00132616 | -2.108 | 0.0363201 | 0.01816 |
| `MDVP:Fhi(Hz)` | -0.000391709 | 0.000338587 | -1.157 | 0.248792 | 0.124396 |
| `MDVP:Flo(Hz)` | -0.00277833 | 0.00082767 | -3.357 | 0.000955123 | 0.000477561 |
| `MDVP:Jitter(%)` | -84.0811 | 62.5084 | -1.345 | 0.180216 | 0.0901082 |
| `MDVP:Jitter(Abs)` | -3422.74 | 3709.09 | -0.9228 | 0.357301 | 0.17865 |
| `MDVP:RAP` | 120.008 | 74.4434 | 1.612 | 0.108634 | 0.0543171 |
| `MDVP:PPQ` | 96.6197 | 47.9276 | 2.016 | 0.0452364 | 0.0226182 |
| Multiple Linear Regression - Regression Statistics | |
| Multiple R | 0.51484 |
| R-squared | 0.26506 |
| Adjusted R-squared | 0.237549 |
| F-TEST (value) | 9.63465 |
| F-TEST (DF numerator) | 7 |
| F-TEST (DF denominator) | 187 |
| p-value | 3.23984e-10 |
| Multiple Linear Regression - Residual Statistics | |
| Residual Standard Deviation | 0.377109 |
| Sum Squared Residuals | 26.5935 |
| Multiple Linear Regression - Actuals, Interpolation, and Residuals | |||
| Time or Index | Actuals | Interpolation Forecast | Residuals Prediction Error |
| 1 | 1 | 1.00421 | -0.00420801 |
| 2 | 1 | 0.955274 | 0.0447259 |
| 3 | 1 | 1.05818 | -0.0581819 |
| 4 | 1 | 0.970041 | 0.0299587 |
| 5 | 1 | 1.04908 | -0.0490814 |
| 6 | 1 | 1.01716 | -0.0171551 |
| 7 | 1 | 0.818653 | 0.181347 |
| 8 | 1 | 0.896806 | 0.103194 |
| 9 | 1 | 0.958613 | 0.0413874 |
| 10 | 1 | 0.952624 | 0.0473755 |
| 11 | 1 | 0.998348 | 0.001652 |
| 12 | 1 | 0.989543 | 0.0104566 |
| 13 | 1 | 0.693603 | 0.306397 |
| 14 | 1 | 0.825559 | 0.174441 |
| 15 | 1 | 0.800668 | 0.199332 |
| 16 | 1 | 0.787058 | 0.212942 |
| 17 | 1 | 0.700302 | 0.299698 |
| 18 | 1 | 0.730392 | 0.269608 |
| 19 | 1 | 0.900926 | 0.0990735 |
| 20 | 1 | 0.635925 | 0.364075 |
| 21 | 1 | 0.922327 | 0.0776732 |
| 22 | 1 | 0.844264 | 0.155736 |
| 23 | 1 | 0.792616 | 0.207384 |
| 24 | 1 | 0.739547 | 0.260453 |
| 25 | 1 | 0.817422 | 0.182578 |
| 26 | 1 | 0.943912 | 0.0560875 |
| 27 | 1 | 0.800427 | 0.199573 |
| 28 | 1 | 0.855747 | 0.144253 |
| 29 | 1 | 0.815057 | 0.184943 |
| 30 | 1 | 0.83695 | 0.16305 |
| 31 | 0 | 0.447812 | -0.447812 |
| 32 | 0 | 0.413641 | -0.413641 |
| 33 | 0 | 0.407243 | -0.407243 |
| 34 | 0 | 0.366025 | -0.366025 |
| 35 | 0 | 0.367958 | -0.367958 |
| 36 | 0 | 0.376057 | -0.376057 |
| 37 | 1 | 0.587901 | 0.412099 |
| 38 | 1 | 0.587388 | 0.412612 |
| 39 | 1 | 0.495779 | 0.504221 |
| 40 | 1 | 0.487625 | 0.512375 |
| 41 | 1 | 0.485894 | 0.514106 |
| 42 | 1 | 0.525327 | 0.474673 |
| 43 | 0 | 0.237105 | -0.237105 |
| 44 | 0 | 0.195869 | -0.195869 |
| 45 | 0 | 0.160232 | -0.160232 |
| 46 | 0 | 0.171749 | -0.171749 |
| 47 | 0 | 0.15948 | -0.15948 |
| 48 | 0 | 0.253096 | -0.253096 |
| 49 | 0 | 0.636982 | -0.636982 |
| 50 | 0 | 0.651839 | -0.651839 |
| 51 | 0 | 0.667373 | -0.667373 |
| 52 | 0 | 0.616921 | -0.616921 |
| 53 | 0 | 0.633552 | -0.633552 |
| 54 | 0 | 0.609162 | -0.609162 |
| 55 | 1 | 0.895339 | 0.104661 |
| 56 | 1 | 0.872075 | 0.127925 |
| 57 | 1 | 0.90218 | 0.0978204 |
| 58 | 1 | 0.81797 | 0.18203 |
| 59 | 1 | 0.825242 | 0.174758 |
| 60 | 1 | 0.758201 | 0.241799 |
| 61 | 0 | 0.599408 | -0.599408 |
| 62 | 0 | 0.611397 | -0.611397 |
| 63 | 0 | 0.309891 | -0.309891 |
| 64 | 0 | 0.252774 | -0.252774 |
| 65 | 0 | 0.217325 | -0.217325 |
| 66 | 0 | 0.544753 | -0.544753 |
| 67 | 1 | 0.936838 | 0.0631616 |
| 68 | 1 | 0.937691 | 0.0623089 |
| 69 | 1 | 0.909583 | 0.0904175 |
| 70 | 1 | 0.954863 | 0.0451369 |
| 71 | 1 | 0.948163 | 0.0518368 |
| 72 | 1 | 0.942729 | 0.0572711 |
| 73 | 1 | 0.8151 | 0.1849 |
| 74 | 1 | 0.70832 | 0.29168 |
| 75 | 1 | 0.904246 | 0.0957541 |
| 76 | 1 | 0.886525 | 0.113475 |
| 77 | 1 | 0.903987 | 0.096013 |
| 78 | 1 | 0.890515 | 0.109485 |
| 79 | 1 | 0.973115 | 0.0268853 |
| 80 | 1 | 1.05238 | -0.0523751 |
| 81 | 1 | 1.02779 | -0.0277931 |
| 82 | 1 | 1.01869 | -0.0186862 |
| 83 | 1 | 0.980681 | 0.0193191 |
| 84 | 1 | 1.01446 | -0.0144592 |
| 85 | 1 | 0.887257 | 0.112743 |
| 86 | 1 | 0.602686 | 0.397314 |
| 87 | 1 | 0.604378 | 0.395622 |
| 88 | 1 | 0.7042 | 0.2958 |
| 89 | 1 | 0.803147 | 0.196853 |
| 90 | 1 | 0.676695 | 0.323305 |
| 91 | 1 | 0.907169 | 0.0928307 |
| 92 | 1 | 0.664442 | 0.335558 |
| 93 | 1 | 0.713371 | 0.286629 |
| 94 | 1 | 0.851472 | 0.148528 |
| 95 | 1 | 0.885228 | 0.114772 |
| 96 | 1 | 0.662183 | 0.337817 |
| 97 | 1 | 0.651163 | 0.348837 |
| 98 | 1 | 0.875468 | 0.124532 |
| 99 | 1 | 0.944095 | 0.0559048 |
| 100 | 1 | 1.04893 | -0.0489262 |
| 101 | 1 | 1.16485 | -0.164848 |
| 102 | 1 | 1.15048 | -0.150476 |
| 103 | 1 | 1.23955 | -0.239554 |
| 104 | 1 | 0.819577 | 0.180423 |
| 105 | 1 | 0.678176 | 0.321824 |
| 106 | 1 | 0.66075 | 0.33925 |
| 107 | 1 | 0.625955 | 0.374045 |
| 108 | 1 | 0.6416 | 0.3584 |
| 109 | 1 | 0.675688 | 0.324312 |
| 110 | 1 | 0.819442 | 0.180558 |
| 111 | 1 | 0.77706 | 0.22294 |
| 112 | 1 | 0.461328 | 0.538672 |
| 113 | 1 | 0.570415 | 0.429585 |
| 114 | 1 | 0.439826 | 0.560174 |
| 115 | 1 | 0.723391 | 0.276609 |
| 116 | 1 | 0.651241 | 0.348759 |
| 117 | 1 | 0.667449 | 0.332551 |
| 118 | 1 | 0.631452 | 0.368548 |
| 119 | 1 | 0.513939 | 0.486061 |
| 120 | 1 | 0.437481 | 0.562519 |
| 121 | 1 | 0.668521 | 0.331479 |
| 122 | 1 | 0.69205 | 0.30795 |
| 123 | 1 | 0.940234 | 0.059766 |
| 124 | 1 | 0.884959 | 0.115041 |
| 125 | 1 | 0.938978 | 0.0610221 |
| 126 | 1 | 0.938741 | 0.0612588 |
| 127 | 1 | 0.914755 | 0.0852453 |
| 128 | 1 | 0.871115 | 0.128885 |
| 129 | 1 | 0.778431 | 0.221569 |
| 130 | 1 | 0.824429 | 0.175571 |
| 131 | 1 | 0.866426 | 0.133574 |
| 132 | 1 | 0.874757 | 0.125243 |
| 133 | 1 | 0.879566 | 0.120434 |
| 134 | 1 | 0.829377 | 0.170623 |
| 135 | 1 | 0.885344 | 0.114656 |
| 136 | 1 | 0.922001 | 0.077999 |
| 137 | 1 | 0.880465 | 0.119535 |
| 138 | 1 | 0.93291 | 0.0670898 |
| 139 | 1 | 0.908596 | 0.0914045 |
| 140 | 1 | 0.866059 | 0.133941 |
| 141 | 1 | 0.682069 | 0.317931 |
| 142 | 1 | 0.746649 | 0.253351 |
| 143 | 1 | 0.516807 | 0.483193 |
| 144 | 1 | 0.682978 | 0.317022 |
| 145 | 1 | 0.412912 | 0.587088 |
| 146 | 1 | 0.577826 | 0.422174 |
| 147 | 1 | 0.881831 | 0.118169 |
| 148 | 1 | 0.786588 | 0.213412 |
| 149 | 1 | 0.890058 | 0.109942 |
| 150 | 1 | 0.640011 | 0.359989 |
| 151 | 1 | 0.997736 | 0.00226391 |
| 152 | 1 | 1.32508 | -0.325078 |
| 153 | 1 | 1.1613 | -0.161304 |
| 154 | 1 | 0.868151 | 0.131849 |
| 155 | 1 | 0.873336 | 0.126664 |
| 156 | 1 | 0.885914 | 0.114086 |
| 157 | 1 | 0.876925 | 0.123075 |
| 158 | 1 | 0.863256 | 0.136744 |
| 159 | 1 | 0.901723 | 0.0982774 |
| 160 | 1 | 0.818125 | 0.181875 |
| 161 | 1 | 0.951541 | 0.0484586 |
| 162 | 1 | 0.902763 | 0.0972367 |
| 163 | 1 | 0.921062 | 0.0789385 |
| 164 | 1 | 0.909172 | 0.0908284 |
| 165 | 1 | 0.915004 | 0.0849964 |
| 166 | 0 | 0.554637 | -0.554637 |
| 167 | 0 | 0.20543 | -0.20543 |
| 168 | 0 | 0.145282 | -0.145282 |
| 169 | 0 | 0.848067 | -0.848067 |
| 170 | 0 | 0.300122 | -0.300122 |
| 171 | 0 | 0.189187 | -0.189187 |
| 172 | 0 | 0.850161 | -0.850161 |
| 173 | 0 | 0.892077 | -0.892077 |
| 174 | 0 | 0.901587 | -0.901587 |
| 175 | 0 | 0.890181 | -0.890181 |
| 176 | 0 | 0.858984 | -0.858984 |
| 177 | 0 | 0.865466 | -0.865466 |
| 178 | 1 | 0.655681 | 0.344319 |
| 179 | 1 | 0.698821 | 0.301179 |
| 180 | 1 | 0.714401 | 0.285599 |
| 181 | 1 | 0.67909 | 0.32091 |
| 182 | 1 | 0.689445 | 0.310555 |
| 183 | 1 | 0.693156 | 0.306844 |
| 184 | 0 | 0.853104 | -0.853104 |
| 185 | 0 | 0.869516 | -0.869516 |
| 186 | 0 | 0.844767 | -0.844767 |
| 187 | 0 | 0.736789 | -0.736789 |
| 188 | 0 | 0.702396 | -0.702396 |
| 189 | 0 | 0.89681 | -0.89681 |
| 190 | 0 | 0.83559 | -0.83559 |
| 191 | 0 | 0.767021 | -0.767021 |
| 192 | 0 | 0.698069 | -0.698069 |
| 193 | 0 | 0.61679 | -0.61679 |
| 194 | 0 | 0.671549 | -0.671549 |
| 195 | 0 | 0.692301 | -0.692301 |
| Goldfeld-Quandt test for Heteroskedasticity | |||
| p-values | Alternative Hypothesis | ||
| breakpoint index | greater | 2-sided | less |
| 11 | 3.66644e-54 | 7.33288e-54 | 1 |
| 12 | 1.94673e-66 | 3.89345e-66 | 1 |
| 13 | 3.09721e-93 | 6.19442e-93 | 1 |
| 14 | 1.71835e-92 | 3.4367e-92 | 1 |
| 15 | 5.74267e-108 | 1.14853e-107 | 1 |
| 16 | 0 | 0 | 1 |
| 17 | 1.17084e-148 | 2.34168e-148 | 1 |
| 18 | 6.22193e-155 | 1.24439e-154 | 1 |
| 19 | 2.74785e-169 | 5.49571e-169 | 1 |
| 20 | 4.90453e-193 | 9.80905e-193 | 1 |
| 21 | 1.04523e-225 | 2.09047e-225 | 1 |
| 22 | 7.43243e-218 | 1.48649e-217 | 1 |
| 23 | 1.21639e-229 | 2.43278e-229 | 1 |
| 24 | 5.58332e-248 | 1.11666e-247 | 1 |
| 25 | 9.9541e-267 | 1.99082e-266 | 1 |
| 26 | 5.80169e-308 | 1.16034e-307 | 1 |
| 27 | 1.08734e-296 | 2.17468e-296 | 1 |
| 28 | 2.41728e-307 | 4.83455e-307 | 1 |
| 29 | 0 | 0 | 1 |
| 30 | 0 | 0 | 1 |
| 31 | 2.64902e-09 | 5.29803e-09 | 1 |
| 32 | 3.2255e-09 | 6.451e-09 | 1 |
| 33 | 1.43979e-09 | 2.87958e-09 | 1 |
| 34 | 4.54953e-10 | 9.09906e-10 | 1 |
| 35 | 1.40532e-10 | 2.81064e-10 | 1 |
| 36 | 4.44081e-11 | 8.88162e-11 | 1 |
| 37 | 2.07954e-08 | 4.15907e-08 | 1 |
| 38 | 3.32661e-07 | 6.65323e-07 | 1 |
| 39 | 2.26122e-05 | 4.52244e-05 | 0.999977 |
| 40 | 0.000211475 | 0.00042295 | 0.999789 |
| 41 | 0.000888679 | 0.00177736 | 0.999111 |
| 42 | 0.00129158 | 0.00258316 | 0.998708 |
| 43 | 0.000844972 | 0.00168994 | 0.999155 |
| 44 | 0.000519489 | 0.00103898 | 0.999481 |
| 45 | 0.00033017 | 0.000660339 | 0.99967 |
| 46 | 0.00020053 | 0.000401061 | 0.999799 |
| 47 | 0.000122447 | 0.000244894 | 0.999878 |
| 48 | 7.43833e-05 | 0.000148767 | 0.999926 |
| 49 | 0.00042746 | 0.000854921 | 0.999573 |
| 50 | 0.000680133 | 0.00136027 | 0.99932 |
| 51 | 0.00101901 | 0.00203801 | 0.998981 |
| 52 | 0.000883574 | 0.00176715 | 0.999116 |
| 53 | 0.00101925 | 0.00203849 | 0.998981 |
| 54 | 0.00107352 | 0.00214704 | 0.998926 |
| 55 | 0.000945098 | 0.0018902 | 0.999055 |
| 56 | 0.00114793 | 0.00229586 | 0.998852 |
| 57 | 0.000935268 | 0.00187054 | 0.999065 |
| 58 | 0.00128779 | 0.00257558 | 0.998712 |
| 59 | 0.00152709 | 0.00305418 | 0.998473 |
| 60 | 0.00114468 | 0.00228935 | 0.998855 |
| 61 | 0.00439073 | 0.00878146 | 0.995609 |
| 62 | 0.00903004 | 0.0180601 | 0.99097 |
| 63 | 0.00814084 | 0.0162817 | 0.991859 |
| 64 | 0.00710069 | 0.0142014 | 0.992899 |
| 65 | 0.00587669 | 0.0117534 | 0.994123 |
| 66 | 0.00687841 | 0.0137568 | 0.993122 |
| 67 | 0.00499747 | 0.00999495 | 0.995003 |
| 68 | 0.00364047 | 0.00728094 | 0.99636 |
| 69 | 0.00257535 | 0.0051507 | 0.997425 |
| 70 | 0.00206298 | 0.00412595 | 0.997937 |
| 71 | 0.00145619 | 0.00291237 | 0.998544 |
| 72 | 0.00102831 | 0.00205663 | 0.998972 |
| 73 | 0.000721849 | 0.0014437 | 0.999278 |
| 74 | 0.00181712 | 0.00363423 | 0.998183 |
| 75 | 0.00129779 | 0.00259559 | 0.998702 |
| 76 | 0.000910802 | 0.0018216 | 0.999089 |
| 77 | 0.000656554 | 0.00131311 | 0.999343 |
| 78 | 0.000448387 | 0.000896775 | 0.999552 |
| 79 | 0.000301903 | 0.000603806 | 0.999698 |
| 80 | 0.000211737 | 0.000423473 | 0.999788 |
| 81 | 0.000145657 | 0.000291314 | 0.999854 |
| 82 | 9.87571e-05 | 0.000197514 | 0.999901 |
| 83 | 6.55739e-05 | 0.000131148 | 0.999934 |
| 84 | 4.85394e-05 | 9.70789e-05 | 0.999951 |
| 85 | 3.36274e-05 | 6.72549e-05 | 0.999966 |
| 86 | 3.18146e-05 | 6.36292e-05 | 0.999968 |
| 87 | 3.86145e-05 | 7.72289e-05 | 0.999961 |
| 88 | 2.81482e-05 | 5.62963e-05 | 0.999972 |
| 89 | 2.09582e-05 | 4.19164e-05 | 0.999979 |
| 90 | 1.46565e-05 | 2.9313e-05 | 0.999985 |
| 91 | 1.11993e-05 | 2.23986e-05 | 0.999989 |
| 92 | 1.02923e-05 | 2.05847e-05 | 0.99999 |
| 93 | 7.34265e-06 | 1.46853e-05 | 0.999993 |
| 94 | 5.225e-06 | 1.045e-05 | 0.999995 |
| 95 | 3.4584e-06 | 6.91679e-06 | 0.999997 |
| 96 | 2.66e-06 | 5.32e-06 | 0.999997 |
| 97 | 2.28251e-06 | 4.56502e-06 | 0.999998 |
| 98 | 1.39212e-06 | 2.78424e-06 | 0.999999 |
| 99 | 8.20541e-07 | 1.64108e-06 | 0.999999 |
| 100 | 5.39222e-07 | 1.07844e-06 | 0.999999 |
| 101 | 3.89103e-07 | 7.78206e-07 | 1 |
| 102 | 3.92362e-07 | 7.84724e-07 | 1 |
| 103 | 1.54238e-06 | 3.08476e-06 | 0.999998 |
| 104 | 1.10248e-06 | 2.20496e-06 | 0.999999 |
| 105 | 8.64567e-07 | 1.72913e-06 | 0.999999 |
| 106 | 7.80904e-07 | 1.56181e-06 | 0.999999 |
| 107 | 6.99569e-07 | 1.39914e-06 | 0.999999 |
| 108 | 6.94392e-07 | 1.38878e-06 | 0.999999 |
| 109 | 5.50689e-07 | 1.10138e-06 | 0.999999 |
| 110 | 3.60575e-07 | 7.21151e-07 | 1 |
| 111 | 2.61709e-07 | 5.23417e-07 | 1 |
| 112 | 3.8648e-07 | 7.72961e-07 | 1 |
| 113 | 3.11736e-07 | 6.23471e-07 | 1 |
| 114 | 7.2436e-07 | 1.44872e-06 | 0.999999 |
| 115 | 6.42307e-07 | 1.28461e-06 | 0.999999 |
| 116 | 6.99165e-07 | 1.39833e-06 | 0.999999 |
| 117 | 6.47286e-07 | 1.29457e-06 | 0.999999 |
| 118 | 6.58061e-07 | 1.31612e-06 | 0.999999 |
| 119 | 1.37903e-06 | 2.75807e-06 | 0.999999 |
| 120 | 7.34141e-06 | 1.46828e-05 | 0.999993 |
| 121 | 8.52279e-06 | 1.70456e-05 | 0.999991 |
| 122 | 9.37103e-06 | 1.87421e-05 | 0.999991 |
| 123 | 7.0274e-06 | 1.40548e-05 | 0.999993 |
| 124 | 5.1696e-06 | 1.03392e-05 | 0.999995 |
| 125 | 4.36631e-06 | 8.73261e-06 | 0.999996 |
| 126 | 3.36987e-06 | 6.73974e-06 | 0.999997 |
| 127 | 2.72855e-06 | 5.4571e-06 | 0.999997 |
| 128 | 2.37006e-06 | 4.74013e-06 | 0.999998 |
| 129 | 1.76317e-06 | 3.52634e-06 | 0.999998 |
| 130 | 1.35184e-06 | 2.70368e-06 | 0.999999 |
| 131 | 9.48784e-07 | 1.89757e-06 | 0.999999 |
| 132 | 7.38947e-07 | 1.47789e-06 | 0.999999 |
| 133 | 5.99594e-07 | 1.19919e-06 | 0.999999 |
| 134 | 4.76056e-07 | 9.52112e-07 | 1 |
| 135 | 2.95938e-07 | 5.91877e-07 | 1 |
| 136 | 2.11801e-07 | 4.23602e-07 | 1 |
| 137 | 1.49043e-07 | 2.98085e-07 | 1 |
| 138 | 1.15777e-07 | 2.31554e-07 | 1 |
| 139 | 8.81121e-08 | 1.76224e-07 | 1 |
| 140 | 8.16225e-08 | 1.63245e-07 | 1 |
| 141 | 1.70644e-07 | 3.41289e-07 | 1 |
| 142 | 2.42997e-07 | 4.85994e-07 | 1 |
| 143 | 5.97793e-07 | 1.19559e-06 | 0.999999 |
| 144 | 1.9935e-06 | 3.98701e-06 | 0.999998 |
| 145 | 1.07513e-05 | 2.15026e-05 | 0.999989 |
| 146 | 0.000149483 | 0.000298967 | 0.999851 |
| 147 | 0.000107977 | 0.000215955 | 0.999892 |
| 148 | 7.54704e-05 | 0.000150941 | 0.999925 |
| 149 | 5.22212e-05 | 0.000104442 | 0.999948 |
| 150 | 0.000102661 | 0.000205323 | 0.999897 |
| 151 | 8.57803e-05 | 0.000171561 | 0.999914 |
| 152 | 8.05724e-05 | 0.000161145 | 0.999919 |
| 153 | 5.74035e-05 | 0.000114807 | 0.999943 |
| 154 | 4.38877e-05 | 8.77753e-05 | 0.999956 |
| 155 | 3.27082e-05 | 6.54164e-05 | 0.999967 |
| 156 | 3.05841e-05 | 6.11682e-05 | 0.999969 |
| 157 | 2.703e-05 | 5.406e-05 | 0.999973 |
| 158 | 6.08922e-05 | 0.000121784 | 0.999939 |
| 159 | 4.04436e-05 | 8.08872e-05 | 0.99996 |
| 160 | 3.80186e-05 | 7.60371e-05 | 0.999962 |
| 161 | 5.11483e-05 | 0.000102297 | 0.999949 |
| 162 | 4.28373e-05 | 8.56746e-05 | 0.999957 |
| 163 | 3.56689e-05 | 7.13379e-05 | 0.999964 |
| 164 | 4.53596e-05 | 9.07193e-05 | 0.999955 |
| 165 | 0.000505261 | 0.00101052 | 0.999495 |
| 166 | 0.000536915 | 0.00107383 | 0.999463 |
| 167 | 0.000609167 | 0.00121833 | 0.999391 |
| 168 | 0.000953051 | 0.0019061 | 0.999047 |
| 169 | 0.00176246 | 0.00352493 | 0.998238 |
| 170 | 0.00568436 | 0.0113687 | 0.994316 |
| 171 | 0.998618 | 0.0027637 | 0.00138185 |
| 172 | 0.998731 | 0.00253871 | 0.00126935 |
| 173 | 0.998207 | 0.00358679 | 0.00179339 |
| 174 | 0.997537 | 0.0049268 | 0.0024634 |
| 175 | 0.99606 | 0.00788037 | 0.00394018 |
| 176 | 0.996086 | 0.00782722 | 0.00391361 |
| 177 | 0.997693 | 0.00461476 | 0.00230738 |
| 178 | 0.996631 | 0.00673784 | 0.00336892 |
| 179 | 0.992025 | 0.0159499 | 0.00797494 |
| 180 | 0.992695 | 0.0146102 | 0.00730509 |
| 181 | 0.982429 | 0.035142 | 0.017571 |
| 182 | 0.975483 | 0.0490342 | 0.0245171 |
| 183 | 1 | 0 | 0 |
| 184 | 1 | 0 | 0 |
| Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity | |||
| Description | # significant tests | % significant tests | OK/NOK |
| 1% type I error level | 164 | 0.942529 | NOK |
| 5% type I error level | 174 | 1 | NOK |
| 10% type I error level | 174 | 1 | NOK |
