| Multiple Linear Regression - Estimated Regression Equation |
| status[t] = + 1.39731 -0.00304006`MDVP:Fo(Hz)`[t] -0.000253199`MDVP:Fhi(Hz)`[t] -0.00232691`MDVP:Flo(Hz)`[t] -65.7106`MDVP:Jitter(%)`[t] -3241.38`MDVP:Jitter(Abs)`[t] + 2585.71`MDVP:RAP`[t] + 49.4266`MDVP:PPQ`[t] -828.72`Jitter:DDP`[t] + 8.93725`MDVP:Shimmer`[t] -0.238045`MDVP:Shimmer(dB)`[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) | 1.39731 | 0.210472 | 6.639 | 3.44037e-10 | 1.72019e-10 |
| `MDVP:Fo(Hz)` | -0.00304006 | 0.0013361 | -2.275 | 0.0240394 | 0.0120197 |
| `MDVP:Fhi(Hz)` | -0.000253199 | 0.000340751 | -0.7431 | 0.458392 | 0.229196 |
| `MDVP:Flo(Hz)` | -0.00232691 | 0.000836129 | -2.783 | 0.00594874 | 0.00297437 |
| `MDVP:Jitter(%)` | -65.7106 | 63.3523 | -1.037 | 0.300992 | 0.150496 |
| `MDVP:Jitter(Abs)` | -3241.38 | 3947.06 | -0.8212 | 0.412588 | 0.206294 |
| `MDVP:RAP` | 2585.71 | 10143.3 | 0.2549 | 0.799071 | 0.399536 |
| `MDVP:PPQ` | 49.4266 | 52.612 | 0.9395 | 0.348729 | 0.174365 |
| `Jitter:DDP` | -828.72 | 3381.41 | -0.2451 | 0.806667 | 0.403333 |
| `MDVP:Shimmer` | 8.93725 | 11.0156 | 0.8113 | 0.418228 | 0.209114 |
| `MDVP:Shimmer(dB)` | -0.238045 | 1.18726 | -0.2005 | 0.841311 | 0.420655 |
| Multiple Linear Regression - Regression Statistics | |
| Multiple R | 0.543796 |
| R-squared | 0.295714 |
| Adjusted R-squared | 0.257438 |
| F-TEST (value) | 7.72575 |
| F-TEST (DF numerator) | 10 |
| F-TEST (DF denominator) | 184 |
| p-value | 2.77561e-10 |
| Multiple Linear Regression - Residual Statistics | |
| Residual Standard Deviation | 0.372158 |
| Sum Squared Residuals | 25.4843 |
| Multiple Linear Regression - Actuals, Interpolation, and Residuals | |||
| Time or Index | Actuals | Interpolation Forecast | Residuals Prediction Error |
| 1 | 1 | 1.01606 | -0.0160645 |
| 2 | 1 | 1.04172 | -0.0417199 |
| 3 | 1 | 1.04035 | -0.0403496 |
| 4 | 1 | 1.02248 | -0.0224792 |
| 5 | 1 | 1.0787 | -0.0787028 |
| 6 | 1 | 0.988937 | 0.0110633 |
| 7 | 1 | 0.769948 | 0.230052 |
| 8 | 1 | 0.861399 | 0.138601 |
| 9 | 1 | 0.891869 | 0.108131 |
| 10 | 1 | 0.953696 | 0.046304 |
| 11 | 1 | 0.930707 | 0.0692929 |
| 12 | 1 | 0.96266 | 0.0373401 |
| 13 | 1 | 0.648405 | 0.351595 |
| 14 | 1 | 0.766073 | 0.233927 |
| 15 | 1 | 0.768398 | 0.231602 |
| 16 | 1 | 0.737798 | 0.262202 |
| 17 | 1 | 0.690733 | 0.309267 |
| 18 | 1 | 0.728261 | 0.271739 |
| 19 | 1 | 1.01812 | -0.0181242 |
| 20 | 1 | 0.716547 | 0.283453 |
| 21 | 1 | 0.923158 | 0.076842 |
| 22 | 1 | 0.935867 | 0.0641334 |
| 23 | 1 | 0.898122 | 0.101878 |
| 24 | 1 | 0.844758 | 0.155242 |
| 25 | 1 | 0.700908 | 0.299092 |
| 26 | 1 | 0.981805 | 0.0181954 |
| 27 | 1 | 0.74864 | 0.25136 |
| 28 | 1 | 0.802142 | 0.197858 |
| 29 | 1 | 0.781405 | 0.218595 |
| 30 | 1 | 0.760697 | 0.239303 |
| 31 | 0 | 0.399918 | -0.399918 |
| 32 | 0 | 0.371974 | -0.371974 |
| 33 | 0 | 0.38434 | -0.38434 |
| 34 | 0 | 0.341578 | -0.341578 |
| 35 | 0 | 0.326544 | -0.326544 |
| 36 | 0 | 0.364512 | -0.364512 |
| 37 | 1 | 0.569653 | 0.430347 |
| 38 | 1 | 0.555824 | 0.444176 |
| 39 | 1 | 0.471053 | 0.528947 |
| 40 | 1 | 0.470179 | 0.529821 |
| 41 | 1 | 0.451374 | 0.548626 |
| 42 | 1 | 0.494617 | 0.505383 |
| 43 | 0 | 0.236927 | -0.236927 |
| 44 | 0 | 0.213119 | -0.213119 |
| 45 | 0 | 0.15874 | -0.15874 |
| 46 | 0 | 0.182189 | -0.182189 |
| 47 | 0 | 0.176274 | -0.176274 |
| 48 | 0 | 0.21992 | -0.21992 |
| 49 | 0 | 0.628624 | -0.628624 |
| 50 | 0 | 0.650582 | -0.650582 |
| 51 | 0 | 0.710425 | -0.710425 |
| 52 | 0 | 0.644375 | -0.644375 |
| 53 | 0 | 0.679146 | -0.679146 |
| 54 | 0 | 0.664773 | -0.664773 |
| 55 | 1 | 0.844327 | 0.155673 |
| 56 | 1 | 0.839311 | 0.160689 |
| 57 | 1 | 0.902822 | 0.0971782 |
| 58 | 1 | 0.735868 | 0.264132 |
| 59 | 1 | 0.75342 | 0.24658 |
| 60 | 1 | 0.731824 | 0.268176 |
| 61 | 0 | 0.568167 | -0.568167 |
| 62 | 0 | 0.589577 | -0.589577 |
| 63 | 0 | 0.304275 | -0.304275 |
| 64 | 0 | 0.249895 | -0.249895 |
| 65 | 0 | 0.226413 | -0.226413 |
| 66 | 0 | 0.512246 | -0.512246 |
| 67 | 1 | 0.908044 | 0.0919559 |
| 68 | 1 | 0.898299 | 0.101701 |
| 69 | 1 | 1.02626 | -0.0262622 |
| 70 | 1 | 1.10135 | -0.101346 |
| 71 | 1 | 0.927941 | 0.0720588 |
| 72 | 1 | 1.02617 | -0.0261692 |
| 73 | 1 | 0.778957 | 0.221043 |
| 74 | 1 | 0.732527 | 0.267473 |
| 75 | 1 | 0.889609 | 0.110391 |
| 76 | 1 | 0.851745 | 0.148255 |
| 77 | 1 | 0.995041 | 0.00495852 |
| 78 | 1 | 0.868922 | 0.131078 |
| 79 | 1 | 0.986309 | 0.0136914 |
| 80 | 1 | 0.961566 | 0.0384344 |
| 81 | 1 | 1.05511 | -0.0551131 |
| 82 | 1 | 1.01681 | -0.0168099 |
| 83 | 1 | 0.934229 | 0.0657714 |
| 84 | 1 | 0.968907 | 0.0310934 |
| 85 | 1 | 0.960464 | 0.0395364 |
| 86 | 1 | 0.716383 | 0.283617 |
| 87 | 1 | 0.724832 | 0.275168 |
| 88 | 1 | 0.948077 | 0.0519227 |
| 89 | 1 | 1.06598 | -0.0659837 |
| 90 | 1 | 0.745975 | 0.254025 |
| 91 | 1 | 1.09152 | -0.0915231 |
| 92 | 1 | 1.04158 | -0.0415821 |
| 93 | 1 | 0.833511 | 0.166489 |
| 94 | 1 | 1.03892 | -0.0389208 |
| 95 | 1 | 0.9738 | 0.0262003 |
| 96 | 1 | 0.752716 | 0.247284 |
| 97 | 1 | 0.733242 | 0.266758 |
| 98 | 1 | 0.866897 | 0.133103 |
| 99 | 1 | 0.95802 | 0.0419804 |
| 100 | 1 | 1.08262 | -0.0826181 |
| 101 | 1 | 1.17362 | -0.173623 |
| 102 | 1 | 1.1389 | -0.138905 |
| 103 | 1 | 1.24235 | -0.242349 |
| 104 | 1 | 0.745607 | 0.254393 |
| 105 | 1 | 0.623074 | 0.376926 |
| 106 | 1 | 0.620768 | 0.379232 |
| 107 | 1 | 0.591348 | 0.408652 |
| 108 | 1 | 0.613513 | 0.386487 |
| 109 | 1 | 0.631012 | 0.368988 |
| 110 | 1 | 0.776286 | 0.223714 |
| 111 | 1 | 0.715627 | 0.284373 |
| 112 | 1 | 0.393189 | 0.606811 |
| 113 | 1 | 0.49756 | 0.50244 |
| 114 | 1 | 0.384666 | 0.615334 |
| 115 | 1 | 0.677423 | 0.322577 |
| 116 | 1 | 0.602615 | 0.397385 |
| 117 | 1 | 0.63724 | 0.36276 |
| 118 | 1 | 0.611062 | 0.388938 |
| 119 | 1 | 0.478905 | 0.521095 |
| 120 | 1 | 0.405442 | 0.594558 |
| 121 | 1 | 0.656629 | 0.343371 |
| 122 | 1 | 0.59599 | 0.40401 |
| 123 | 1 | 1.00328 | -0.00327894 |
| 124 | 1 | 0.797061 | 0.202939 |
| 125 | 1 | 0.854002 | 0.145998 |
| 126 | 1 | 0.850789 | 0.149211 |
| 127 | 1 | 0.888423 | 0.111577 |
| 128 | 1 | 0.839659 | 0.160341 |
| 129 | 1 | 0.715453 | 0.284547 |
| 130 | 1 | 0.75591 | 0.24409 |
| 131 | 1 | 0.786621 | 0.213379 |
| 132 | 1 | 0.826755 | 0.173245 |
| 133 | 1 | 0.803184 | 0.196816 |
| 134 | 1 | 0.756074 | 0.243926 |
| 135 | 1 | 1.02994 | -0.0299372 |
| 136 | 1 | 1.01492 | -0.0149239 |
| 137 | 1 | 1.02497 | -0.0249681 |
| 138 | 1 | 1.08676 | -0.086765 |
| 139 | 1 | 1.09524 | -0.0952445 |
| 140 | 1 | 0.917747 | 0.0822526 |
| 141 | 1 | 0.743319 | 0.256681 |
| 142 | 1 | 0.954195 | 0.0458055 |
| 143 | 1 | 0.612535 | 0.387465 |
| 144 | 1 | 0.633321 | 0.366679 |
| 145 | 1 | 0.479767 | 0.520233 |
| 146 | 1 | 0.593948 | 0.406052 |
| 147 | 1 | 1.01715 | -0.0171478 |
| 148 | 1 | 0.838289 | 0.161711 |
| 149 | 1 | 0.933285 | 0.0667149 |
| 150 | 1 | 0.73878 | 0.26122 |
| 151 | 1 | 0.849028 | 0.150972 |
| 152 | 1 | 1.30694 | -0.306936 |
| 153 | 1 | 1.01898 | -0.0189812 |
| 154 | 1 | 0.839936 | 0.160064 |
| 155 | 1 | 0.869831 | 0.130169 |
| 156 | 1 | 0.918088 | 0.0819119 |
| 157 | 1 | 0.820816 | 0.179184 |
| 158 | 1 | 0.89428 | 0.10572 |
| 159 | 1 | 0.862368 | 0.137632 |
| 160 | 1 | 0.846064 | 0.153936 |
| 161 | 1 | 1.01922 | -0.019224 |
| 162 | 1 | 0.912578 | 0.0874218 |
| 163 | 1 | 0.962438 | 0.0375621 |
| 164 | 1 | 0.843082 | 0.156918 |
| 165 | 1 | 0.859709 | 0.140291 |
| 166 | 0 | 0.56126 | -0.56126 |
| 167 | 0 | 0.183347 | -0.183347 |
| 168 | 0 | 0.154395 | -0.154395 |
| 169 | 0 | 0.731792 | -0.731792 |
| 170 | 0 | 0.264796 | -0.264796 |
| 171 | 0 | 0.187227 | -0.187227 |
| 172 | 0 | 0.786421 | -0.786421 |
| 173 | 0 | 0.836763 | -0.836763 |
| 174 | 0 | 0.83222 | -0.83222 |
| 175 | 0 | 0.83985 | -0.83985 |
| 176 | 0 | 0.806546 | -0.806546 |
| 177 | 0 | 0.823434 | -0.823434 |
| 178 | 1 | 0.620574 | 0.379426 |
| 179 | 1 | 0.66371 | 0.33629 |
| 180 | 1 | 0.654057 | 0.345943 |
| 181 | 1 | 0.687856 | 0.312144 |
| 182 | 1 | 0.66703 | 0.33297 |
| 183 | 1 | 0.701896 | 0.298104 |
| 184 | 0 | 0.806229 | -0.806229 |
| 185 | 0 | 0.795938 | -0.795938 |
| 186 | 0 | 0.797073 | -0.797073 |
| 187 | 0 | 0.73139 | -0.73139 |
| 188 | 0 | 0.712831 | -0.712831 |
| 189 | 0 | 0.813797 | -0.813797 |
| 190 | 0 | 0.765582 | -0.765582 |
| 191 | 0 | 0.841491 | -0.841491 |
| 192 | 0 | 0.669025 | -0.669025 |
| 193 | 0 | 0.516632 | -0.516632 |
| 194 | 0 | 0.619545 | -0.619545 |
| 195 | 0 | 0.602198 | -0.602198 |
| Goldfeld-Quandt test for Heteroskedasticity | |||
| p-values | Alternative Hypothesis | ||
| breakpoint index | greater | 2-sided | less |
| 14 | 4.24803e-47 | 8.49606e-47 | 1 |
| 15 | 7.05273e-62 | 1.41055e-61 | 1 |
| 16 | 0 | 0 | 1 |
| 17 | 5.52839e-99 | 1.10568e-98 | 1 |
| 18 | 9.29347e-106 | 1.85869e-105 | 1 |
| 19 | 2.7855e-121 | 5.57101e-121 | 1 |
| 20 | 1.13176e-144 | 2.26351e-144 | 1 |
| 21 | 1.60437e-173 | 3.20874e-173 | 1 |
| 22 | 2.0345e-165 | 4.069e-165 | 1 |
| 23 | 1.38927e-183 | 2.77855e-183 | 1 |
| 24 | 8.79429e-196 | 1.75886e-195 | 1 |
| 25 | 1.68726e-219 | 3.37451e-219 | 1 |
| 26 | 1.80594e-256 | 3.61189e-256 | 1 |
| 27 | 1.12232e-249 | 2.24464e-249 | 1 |
| 28 | 4.07562e-257 | 8.15123e-257 | 1 |
| 29 | 9.98255e-281 | 1.99651e-280 | 1 |
| 30 | 2.60367e-286 | 5.20735e-286 | 1 |
| 31 | 4.34923e-08 | 8.69845e-08 | 1 |
| 32 | 3.4954e-08 | 6.99079e-08 | 1 |
| 33 | 1.41026e-08 | 2.82052e-08 | 1 |
| 34 | 4.35244e-09 | 8.70488e-09 | 1 |
| 35 | 1.31607e-09 | 2.63214e-09 | 1 |
| 36 | 4.1287e-10 | 8.25739e-10 | 1 |
| 37 | 1.38685e-07 | 2.77369e-07 | 1 |
| 38 | 1.69771e-06 | 3.39542e-06 | 0.999998 |
| 39 | 0.000109217 | 0.000218433 | 0.999891 |
| 40 | 0.000916546 | 0.00183309 | 0.999083 |
| 41 | 0.00283106 | 0.00566211 | 0.997169 |
| 42 | 0.00341049 | 0.00682097 | 0.99659 |
| 43 | 0.00228744 | 0.00457488 | 0.997713 |
| 44 | 0.00147435 | 0.00294871 | 0.998526 |
| 45 | 0.000940452 | 0.0018809 | 0.99906 |
| 46 | 0.000611621 | 0.00122324 | 0.999388 |
| 47 | 0.00039993 | 0.000799859 | 0.9996 |
| 48 | 0.000247273 | 0.000494545 | 0.999753 |
| 49 | 0.000786341 | 0.00157268 | 0.999214 |
| 50 | 0.00138606 | 0.00277212 | 0.998614 |
| 51 | 0.00173558 | 0.00347116 | 0.998264 |
| 52 | 0.00157673 | 0.00315347 | 0.998423 |
| 53 | 0.00199106 | 0.00398212 | 0.998009 |
| 54 | 0.00238893 | 0.00477786 | 0.997611 |
| 55 | 0.00303443 | 0.00606886 | 0.996966 |
| 56 | 0.00479173 | 0.00958347 | 0.995208 |
| 57 | 0.00385047 | 0.00770095 | 0.99615 |
| 58 | 0.00414943 | 0.00829886 | 0.995851 |
| 59 | 0.00388851 | 0.00777702 | 0.996111 |
| 60 | 0.0027296 | 0.0054592 | 0.99727 |
| 61 | 0.0132223 | 0.0264446 | 0.986778 |
| 62 | 0.0214861 | 0.0429723 | 0.978514 |
| 63 | 0.0209951 | 0.0419902 | 0.979005 |
| 64 | 0.019138 | 0.0382759 | 0.980862 |
| 65 | 0.0164045 | 0.0328089 | 0.983596 |
| 66 | 0.0190337 | 0.0380673 | 0.980966 |
| 67 | 0.0142843 | 0.0285687 | 0.985716 |
| 68 | 0.0105334 | 0.0210669 | 0.989467 |
| 69 | 0.00770613 | 0.0154123 | 0.992294 |
| 70 | 0.0057566 | 0.0115132 | 0.994243 |
| 71 | 0.00419582 | 0.00839165 | 0.995804 |
| 72 | 0.00296565 | 0.00593131 | 0.997034 |
| 73 | 0.00219424 | 0.00438847 | 0.997806 |
| 74 | 0.0060416 | 0.0120832 | 0.993958 |
| 75 | 0.00444803 | 0.00889606 | 0.995552 |
| 76 | 0.0032692 | 0.00653841 | 0.996731 |
| 77 | 0.00231082 | 0.00462164 | 0.997689 |
| 78 | 0.00164528 | 0.00329057 | 0.998355 |
| 79 | 0.0011691 | 0.0023382 | 0.998831 |
| 80 | 0.000908019 | 0.00181604 | 0.999092 |
| 81 | 0.00067276 | 0.00134552 | 0.999327 |
| 82 | 0.000457639 | 0.000915279 | 0.999542 |
| 83 | 0.000326998 | 0.000653997 | 0.999673 |
| 84 | 0.00028174 | 0.000563481 | 0.999718 |
| 85 | 0.000193012 | 0.000386025 | 0.999807 |
| 86 | 0.000213415 | 0.00042683 | 0.999787 |
| 87 | 0.000276372 | 0.000552743 | 0.999724 |
| 88 | 0.000185954 | 0.000371909 | 0.999814 |
| 89 | 0.000131232 | 0.000262465 | 0.999869 |
| 90 | 8.93365e-05 | 0.000178673 | 0.999911 |
| 91 | 6.94095e-05 | 0.000138819 | 0.999931 |
| 92 | 5.56265e-05 | 0.000111253 | 0.999944 |
| 93 | 3.71787e-05 | 7.43573e-05 | 0.999963 |
| 94 | 2.35674e-05 | 4.71349e-05 | 0.999976 |
| 95 | 1.46221e-05 | 2.92443e-05 | 0.999985 |
| 96 | 1.0985e-05 | 2.19699e-05 | 0.999989 |
| 97 | 8.14376e-06 | 1.62875e-05 | 0.999992 |
| 98 | 5.26812e-06 | 1.05362e-05 | 0.999995 |
| 99 | 3.15984e-06 | 6.31969e-06 | 0.999997 |
| 100 | 2.15551e-06 | 4.31101e-06 | 0.999998 |
| 101 | 1.73047e-06 | 3.46093e-06 | 0.999998 |
| 102 | 1.84789e-06 | 3.69578e-06 | 0.999998 |
| 103 | 6.64959e-06 | 1.32992e-05 | 0.999993 |
| 104 | 5.25234e-06 | 1.05047e-05 | 0.999995 |
| 105 | 4.56698e-06 | 9.13396e-06 | 0.999995 |
| 106 | 4.42506e-06 | 8.85012e-06 | 0.999996 |
| 107 | 4.13297e-06 | 8.26593e-06 | 0.999996 |
| 108 | 4.17627e-06 | 8.35253e-06 | 0.999996 |
| 109 | 3.51253e-06 | 7.02506e-06 | 0.999996 |
| 110 | 2.5682e-06 | 5.13639e-06 | 0.999997 |
| 111 | 1.96948e-06 | 3.93896e-06 | 0.999998 |
| 112 | 3.99737e-06 | 7.99473e-06 | 0.999996 |
| 113 | 4.73941e-06 | 9.47883e-06 | 0.999995 |
| 114 | 1.53905e-05 | 3.07809e-05 | 0.999985 |
| 115 | 1.22937e-05 | 2.45873e-05 | 0.999988 |
| 116 | 1.3083e-05 | 2.61659e-05 | 0.999987 |
| 117 | 1.30368e-05 | 2.60737e-05 | 0.999987 |
| 118 | 1.27812e-05 | 2.55623e-05 | 0.999987 |
| 119 | 3.24615e-05 | 6.4923e-05 | 0.999968 |
| 120 | 0.000132208 | 0.000264416 | 0.999868 |
| 121 | 0.000205649 | 0.000411299 | 0.999794 |
| 122 | 0.000348346 | 0.000696692 | 0.999652 |
| 123 | 0.000249425 | 0.00049885 | 0.999751 |
| 124 | 0.000207179 | 0.000414358 | 0.999793 |
| 125 | 0.000217219 | 0.000434438 | 0.999783 |
| 126 | 0.000237577 | 0.000475154 | 0.999762 |
| 127 | 0.000277261 | 0.000554521 | 0.999723 |
| 128 | 0.00028519 | 0.00057038 | 0.999715 |
| 129 | 0.000244635 | 0.00048927 | 0.999755 |
| 130 | 0.000276433 | 0.000552866 | 0.999724 |
| 131 | 0.000338067 | 0.000676134 | 0.999662 |
| 132 | 0.000278257 | 0.000556513 | 0.999722 |
| 133 | 0.000438699 | 0.000877397 | 0.999561 |
| 134 | 0.000563022 | 0.00112604 | 0.999437 |
| 135 | 0.000457195 | 0.000914391 | 0.999543 |
| 136 | 0.000309237 | 0.000618474 | 0.999691 |
| 137 | 0.000201794 | 0.000403588 | 0.999798 |
| 138 | 0.000135585 | 0.00027117 | 0.999864 |
| 139 | 9.98545e-05 | 0.000199709 | 0.9999 |
| 140 | 6.437e-05 | 0.00012874 | 0.999936 |
| 141 | 7.53571e-05 | 0.000150714 | 0.999925 |
| 142 | 4.93042e-05 | 9.86083e-05 | 0.999951 |
| 143 | 6.30085e-05 | 0.000126017 | 0.999937 |
| 144 | 0.00042504 | 0.000850081 | 0.999575 |
| 145 | 0.00167172 | 0.00334345 | 0.998328 |
| 146 | 0.00641641 | 0.0128328 | 0.993584 |
| 147 | 0.00453237 | 0.00906473 | 0.995468 |
| 148 | 0.00315145 | 0.0063029 | 0.996849 |
| 149 | 0.00216643 | 0.00433287 | 0.997834 |
| 150 | 0.00145494 | 0.00290988 | 0.998545 |
| 151 | 0.00102238 | 0.00204477 | 0.998978 |
| 152 | 0.000998939 | 0.00199788 | 0.999001 |
| 153 | 0.000715286 | 0.00143057 | 0.999285 |
| 154 | 0.000575846 | 0.00115169 | 0.999424 |
| 155 | 0.000446949 | 0.000893898 | 0.999553 |
| 156 | 0.000292837 | 0.000585674 | 0.999707 |
| 157 | 0.000457298 | 0.000914596 | 0.999543 |
| 158 | 0.0011567 | 0.0023134 | 0.998843 |
| 159 | 0.000992659 | 0.00198532 | 0.999007 |
| 160 | 0.000663938 | 0.00132788 | 0.999336 |
| 161 | 0.000401103 | 0.000802207 | 0.999599 |
| 162 | 0.00040554 | 0.00081108 | 0.999594 |
| 163 | 0.000241772 | 0.000483544 | 0.999758 |
| 164 | 0.000245356 | 0.000490712 | 0.999755 |
| 165 | 0.0031566 | 0.0063132 | 0.996843 |
| 166 | 0.00468779 | 0.00937557 | 0.995312 |
| 167 | 0.00624676 | 0.0124935 | 0.993753 |
| 168 | 0.0138977 | 0.0277955 | 0.986102 |
| 169 | 0.0188137 | 0.0376273 | 0.981186 |
| 170 | 0.0126501 | 0.0253002 | 0.98735 |
| 171 | 0.99693 | 0.00614045 | 0.00307023 |
| 172 | 0.998725 | 0.00255025 | 0.00127512 |
| 173 | 0.997844 | 0.0043117 | 0.00215585 |
| 174 | 0.996168 | 0.007664 | 0.003832 |
| 175 | 0.993359 | 0.0132815 | 0.00664077 |
| 176 | 0.996957 | 0.00608572 | 0.00304286 |
| 177 | 0.999262 | 0.00147521 | 0.000737607 |
| 178 | 0.999737 | 0.000526278 | 0.000263139 |
| 179 | 0.998637 | 0.00272514 | 0.00136257 |
| 180 | 0.995051 | 0.00989791 | 0.00494896 |
| 181 | 0.983822 | 0.0323569 | 0.0161784 |
| Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity | |||
| Description | # significant tests | % significant tests | OK/NOK |
| 1% type I error level | 150 | 0.892857 | NOK |
| 5% type I error level | 168 | 1 | NOK |
| 10% type I error level | 168 | 1 | NOK |
