| Multiple Linear Regression - Estimated Regression Equation |
| Depression[t] = + 27.1311 -0.0425189Connected[t] + 0.00149012Separate[t] -0.118342Learning[t] -0.772194Happiness[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) | 27.1311 | 2.01784 | 13.45 | 1.28275e-31 | 6.41374e-32 |
| Connected | -0.0425189 | 0.0518851 | -0.8195 | 0.413265 | 0.206633 |
| Separate | 0.00149012 | 0.0533347 | 0.02794 | 0.977732 | 0.488866 |
| Learning | -0.118342 | 0.0749698 | -1.579 | 0.115663 | 0.0578317 |
| Happiness | -0.772194 | 0.0721289 | -10.71 | 2.19497e-22 | 1.09749e-22 |
| Multiple Linear Regression - Regression Statistics | |
| Multiple R | 0.591358 |
| R-squared | 0.349705 |
| Adjusted R-squared | 0.339662 |
| F-TEST (value) | 34.8202 |
| F-TEST (DF numerator) | 4 |
| F-TEST (DF denominator) | 259 |
| p-value | 0 |
| Multiple Linear Regression - Residual Statistics | |
| Residual Standard Deviation | 2.81941 |
| Sum Squared Residuals | 2058.8 |
| Multiple Linear Regression - Actuals, Interpolation, and Residuals | |||
| Time or Index | Actuals | Interpolation Forecast | Residuals Prediction Error |
| 1 | 12 | 13.0953 | -1.09531 |
| 2 | 11 | 9.7276 | 1.2724 |
| 3 | 14 | 15.1651 | -1.16507 |
| 4 | 12 | 14.8207 | -2.82075 |
| 5 | 21 | 11.7287 | 9.27128 |
| 6 | 12 | 10.2482 | 1.75177 |
| 7 | 22 | 12.4599 | 9.54014 |
| 8 | 11 | 13.1533 | -2.15327 |
| 9 | 10 | 12.4129 | -2.41289 |
| 10 | 13 | 12.2565 | 0.743497 |
| 11 | 10 | 10.5408 | -0.540823 |
| 12 | 8 | 9.08594 | -1.08594 |
| 13 | 15 | 15.9521 | -0.952142 |
| 14 | 14 | 11.2809 | 2.71907 |
| 15 | 10 | 9.87182 | 0.128178 |
| 16 | 14 | 13.2338 | 0.766159 |
| 17 | 14 | 13.0623 | 0.937724 |
| 18 | 11 | 10.0779 | 0.922116 |
| 19 | 10 | 12.5886 | -2.58863 |
| 20 | 13 | 11.5696 | 1.43038 |
| 21 | 9.5 | 10.0267 | -0.526723 |
| 22 | 14 | 15.4716 | -1.47162 |
| 23 | 12 | 12.4703 | -0.47029 |
| 24 | 14 | 14.4562 | -0.456233 |
| 25 | 11 | 10.3815 | 0.618548 |
| 26 | 9 | 16.474 | -7.47397 |
| 27 | 11 | 11.404 | -0.404015 |
| 28 | 15 | 13.1973 | 1.80272 |
| 29 | 14 | 12.3008 | 1.69921 |
| 30 | 13 | 15.5837 | -2.58373 |
| 31 | 9 | 11.729 | -2.72899 |
| 32 | 15 | 14.5722 | 0.427833 |
| 33 | 10 | 10.82 | -0.820027 |
| 34 | 11 | 12.2642 | -1.26423 |
| 35 | 13 | 13.2627 | -0.262676 |
| 36 | 8 | 12.2812 | -4.28117 |
| 37 | 20 | 17.8111 | 2.1889 |
| 38 | 12 | 12.4099 | -0.409914 |
| 39 | 10 | 10.9235 | -0.923493 |
| 40 | 10 | 13.7601 | -3.76014 |
| 41 | 9 | 12.1292 | -3.12922 |
| 42 | 14 | 11.7228 | 2.27724 |
| 43 | 8 | 10.8411 | -2.84114 |
| 44 | 14 | 14.769 | -0.769015 |
| 45 | 11 | 12.3174 | -1.31743 |
| 46 | 13 | 15.8142 | -2.81418 |
| 47 | 9 | 12.3338 | -3.33382 |
| 48 | 11 | 12.4206 | -1.42062 |
| 49 | 15 | 10.6363 | 4.36371 |
| 50 | 11 | 13.8678 | -2.86777 |
| 51 | 10 | 11.5786 | -1.57856 |
| 52 | 14 | 13.3477 | 0.652287 |
| 53 | 18 | 15.9055 | 2.09455 |
| 54 | 14 | 14.5823 | -0.5823 |
| 55 | 11 | 15.4868 | -4.48679 |
| 56 | 14.5 | 12.3704 | 2.12962 |
| 57 | 13 | 11.275 | 1.72503 |
| 58 | 9 | 12.4724 | -3.47235 |
| 59 | 10 | 14.5701 | -4.57011 |
| 60 | 15 | 14.5338 | 0.46618 |
| 61 | 20 | 18.2996 | 1.70038 |
| 62 | 12 | 13.6341 | -1.63407 |
| 63 | 12 | 15.35 | -3.35002 |
| 64 | 14 | 13.3977 | 0.602317 |
| 65 | 13 | 12.2553 | 0.744713 |
| 66 | 11 | 15.9643 | -4.96434 |
| 67 | 17 | 15.0283 | 1.9717 |
| 68 | 12 | 14.4993 | -2.4993 |
| 69 | 13 | 12.5295 | 0.470527 |
| 70 | 14 | 12.2217 | 1.77829 |
| 71 | 13 | 13.5749 | -0.57491 |
| 72 | 15 | 11.8578 | 3.14223 |
| 73 | 13 | 12.0305 | 0.969477 |
| 74 | 10 | 11.8634 | -1.86343 |
| 75 | 11 | 13.7937 | -2.79371 |
| 76 | 19 | 14.2394 | 4.76056 |
| 77 | 13 | 10.5923 | 2.40772 |
| 78 | 17 | 13.7997 | 3.20033 |
| 79 | 13 | 12.8654 | 0.134572 |
| 80 | 9 | 13.6662 | -4.66616 |
| 81 | 11 | 12.3053 | -1.30526 |
| 82 | 9 | 12.2217 | -3.22171 |
| 83 | 12 | 11.4769 | 0.523141 |
| 84 | 12 | 12.4631 | -0.463137 |
| 85 | 13 | 13.07 | -0.0699998 |
| 86 | 13 | 12.3338 | 0.666183 |
| 87 | 12 | 13.0745 | -1.07447 |
| 88 | 15 | 14.0138 | 0.98624 |
| 89 | 22 | 18.5967 | 3.40332 |
| 90 | 13 | 11.3193 | 1.68072 |
| 91 | 15 | 13.5978 | 1.40222 |
| 92 | 13 | 12.2277 | 0.772331 |
| 93 | 15 | 13.2264 | 1.77361 |
| 94 | 12.5 | 14.3658 | -1.86581 |
| 95 | 11 | 11.2779 | -0.277949 |
| 96 | 16 | 14.4503 | 1.54973 |
| 97 | 11 | 12.985 | -1.98496 |
| 98 | 11 | 10.5878 | 0.412188 |
| 99 | 10 | 12.5845 | -2.58446 |
| 100 | 10 | 10.5483 | -0.548274 |
| 101 | 16 | 14.4503 | 1.54973 |
| 102 | 12 | 10.9336 | 1.06637 |
| 103 | 11 | 15.543 | -4.54297 |
| 104 | 16 | 12.3097 | 3.69027 |
| 105 | 19 | 16.9899 | 2.01014 |
| 106 | 11 | 11.2006 | -0.200635 |
| 107 | 16 | 11.9696 | 4.03042 |
| 108 | 15 | 16.0372 | -1.03718 |
| 109 | 24 | 16.2233 | 7.77665 |
| 110 | 14 | 12.4298 | 1.57017 |
| 111 | 15 | 15.4746 | -0.4746 |
| 112 | 11 | 13.7813 | -2.78127 |
| 113 | 15 | 13.4705 | 1.52947 |
| 114 | 12 | 10.289 | 1.71101 |
| 115 | 10 | 11.1203 | -1.12034 |
| 116 | 14 | 13.3201 | 0.679904 |
| 117 | 13 | 13.2776 | -0.277577 |
| 118 | 9 | 13.431 | -4.43099 |
| 119 | 15 | 12.8649 | 2.13514 |
| 120 | 15 | 14.9784 | 0.0216441 |
| 121 | 14 | 13.1491 | 0.850923 |
| 122 | 11 | 12.4522 | -1.45216 |
| 123 | 8 | 12.1382 | -4.13816 |
| 124 | 11 | 12.2886 | -1.28859 |
| 125 | 11 | 13.9302 | -2.93021 |
| 126 | 8 | 10.6181 | -2.61814 |
| 127 | 10 | 10.1793 | -0.179288 |
| 128 | 11 | 9.33482 | 1.66518 |
| 129 | 13 | 12.6891 | 0.310882 |
| 130 | 11 | 13.8877 | -2.88769 |
| 131 | 20 | 17.8551 | 2.14489 |
| 132 | 10 | 12.0091 | -2.00911 |
| 133 | 15 | 13.0248 | 1.9752 |
| 134 | 12 | 12.3748 | -0.374846 |
| 135 | 14 | 11.6835 | 2.31651 |
| 136 | 23 | 15.9408 | 7.05921 |
| 137 | 14 | 13.1518 | 0.848216 |
| 138 | 16 | 16.1118 | -0.111811 |
| 139 | 11 | 12.6906 | -1.69061 |
| 140 | 12 | 14.5249 | -2.5249 |
| 141 | 10 | 12.3448 | -2.3448 |
| 142 | 14 | 11.7805 | 2.21955 |
| 143 | 12 | 13.0852 | -1.08517 |
| 144 | 12 | 12.3709 | -0.370923 |
| 145 | 11 | 11.938 | -0.938034 |
| 146 | 12 | 11.3255 | 0.674515 |
| 147 | 13 | 15.6215 | -2.6215 |
| 148 | 11 | 14.6569 | -3.65691 |
| 149 | 19 | 17.2024 | 1.79755 |
| 150 | 12 | 12.035 | -0.0349927 |
| 151 | 17 | 13.5868 | 3.41319 |
| 152 | 9 | 11.4935 | -2.49352 |
| 153 | 12 | 14.5413 | -2.54127 |
| 154 | 19 | 16.9595 | 2.04047 |
| 155 | 18 | 14.5522 | 3.44775 |
| 156 | 15 | 13.5978 | 1.40222 |
| 157 | 14 | 13.4765 | 0.523513 |
| 158 | 11 | 9.33482 | 1.66518 |
| 159 | 9 | 13.8012 | -4.80117 |
| 160 | 18 | 15.1407 | 2.85929 |
| 161 | 16 | 14.1622 | 1.83785 |
| 162 | 24 | 16.7615 | 7.23853 |
| 163 | 14 | 13.621 | 0.379043 |
| 164 | 20 | 11.1977 | 8.80235 |
| 165 | 18 | 16.2465 | 1.75348 |
| 166 | 23 | 16.4778 | 6.52218 |
| 167 | 12 | 13.4372 | -1.43722 |
| 168 | 14 | 15.4948 | -1.49479 |
| 169 | 16 | 17.2539 | -1.25391 |
| 170 | 18 | 17.195 | 0.804976 |
| 171 | 20 | 15.6899 | 4.31012 |
| 172 | 12 | 11.407 | 0.593004 |
| 173 | 12 | 17.0701 | -5.07015 |
| 174 | 17 | 14.8317 | 2.16827 |
| 175 | 13 | 11.867 | 1.13305 |
| 176 | 9 | 14.009 | -5.00902 |
| 177 | 16 | 17.2372 | -1.23724 |
| 178 | 18 | 15.2138 | 2.78618 |
| 179 | 10 | 11.8473 | -1.84733 |
| 180 | 14 | 15.6563 | -1.6563 |
| 181 | 11 | 12.9499 | -1.94989 |
| 182 | 9 | 14.3474 | -5.34738 |
| 183 | 11 | 12.0353 | -1.03527 |
| 184 | 10 | 12.9772 | -2.97724 |
| 185 | 11 | 12.9356 | -1.93559 |
| 186 | 19 | 13.8922 | 5.10784 |
| 187 | 14 | 12.8286 | 1.17143 |
| 188 | 12 | 12.5161 | -0.516062 |
| 189 | 14 | 14.642 | -0.64203 |
| 190 | 21 | 16.0283 | 4.97174 |
| 191 | 13 | 15.6732 | -2.67324 |
| 192 | 10 | 12.8708 | -2.87082 |
| 193 | 15 | 12.8167 | 2.18333 |
| 194 | 16 | 15.3105 | 0.689515 |
| 195 | 14 | 12.6968 | 1.30316 |
| 196 | 12 | 14.5731 | -2.57309 |
| 197 | 19 | 13.0275 | 5.97252 |
| 198 | 15 | 13.0789 | 1.92106 |
| 199 | 19 | 17.9428 | 1.05717 |
| 200 | 13 | 14.1413 | -1.14132 |
| 201 | 17 | 17.057 | -0.0570367 |
| 202 | 12 | 12.9157 | -0.915671 |
| 203 | 11 | 11.3026 | -0.302611 |
| 204 | 14 | 14.2745 | -0.274535 |
| 205 | 11 | 12.4206 | -1.42062 |
| 206 | 13 | 12.3811 | 0.61892 |
| 207 | 12 | 12.9939 | -0.993903 |
| 208 | 15 | 11.448 | 3.55198 |
| 209 | 14 | 14.3093 | -0.30933 |
| 210 | 12 | 11.6044 | 0.395585 |
| 211 | 17 | 17.3648 | -0.364801 |
| 212 | 11 | 11.6782 | -0.678202 |
| 213 | 18 | 15.5594 | 2.44064 |
| 214 | 13 | 16.4062 | -3.40617 |
| 215 | 17 | 15.3075 | 1.6925 |
| 216 | 13 | 12.7381 | 0.261856 |
| 217 | 11 | 10.641 | 0.358964 |
| 218 | 12 | 13.056 | -1.05604 |
| 219 | 22 | 17.9366 | 4.0634 |
| 220 | 14 | 12.3005 | 1.69949 |
| 221 | 12 | 15.6596 | -3.65955 |
| 222 | 12 | 11.5572 | 0.442847 |
| 223 | 17 | 16.2786 | 0.721391 |
| 224 | 9 | 12.8577 | -3.8577 |
| 225 | 21 | 17.2509 | 3.74907 |
| 226 | 10 | 12.5223 | -2.52232 |
| 227 | 11 | 9.53224 | 1.46776 |
| 228 | 12 | 14.8555 | -2.85554 |
| 229 | 23 | 18.2553 | 4.74466 |
| 230 | 13 | 15.8234 | -2.82339 |
| 231 | 12 | 13.381 | -1.38102 |
| 232 | 16 | 17.6515 | -1.65146 |
| 233 | 9 | 12.3448 | -3.3448 |
| 234 | 17 | 13.2683 | 3.73166 |
| 235 | 9 | 11.8396 | -2.83961 |
| 236 | 14 | 15.8507 | -1.85074 |
| 237 | 17 | 15.8629 | 1.13707 |
| 238 | 13 | 14.0637 | -1.0637 |
| 239 | 11 | 16.3289 | -5.32885 |
| 240 | 12 | 15.9251 | -3.92507 |
| 241 | 10 | 15.3444 | -5.34436 |
| 242 | 19 | 18.0975 | 0.902543 |
| 243 | 16 | 15.5326 | 0.467433 |
| 244 | 16 | 14.8874 | 1.11264 |
| 245 | 14 | 12.2461 | 1.75393 |
| 246 | 20 | 16.036 | 3.96401 |
| 247 | 15 | 14.1274 | 0.872642 |
| 248 | 23 | 13.654 | 9.34601 |
| 249 | 20 | 17.2125 | 2.78749 |
| 250 | 16 | 15.5816 | 0.418407 |
| 251 | 14 | 12.979 | 1.02097 |
| 252 | 17 | 14.5537 | 2.44626 |
| 253 | 11 | 14.1925 | -3.19248 |
| 254 | 13 | 13.8437 | -0.843684 |
| 255 | 17 | 14.9207 | 2.07934 |
| 256 | 15 | 14.8115 | 0.188466 |
| 257 | 21 | 16.8549 | 4.14513 |
| 258 | 18 | 17.2542 | 0.745817 |
| 259 | 15 | 12.4872 | 2.51277 |
| 260 | 8 | 17.4924 | -9.49236 |
| 261 | 12 | 13.442 | -1.44197 |
| 262 | 12 | 12.8574 | -0.85743 |
| 263 | 22 | 18.7769 | 3.22311 |
| 264 | 12 | 13.4783 | -1.47825 |
| Goldfeld-Quandt test for Heteroskedasticity | |||
| p-values | Alternative Hypothesis | ||
| breakpoint index | greater | 2-sided | less |
| 8 | 0.997847 | 0.00430577 | 0.00215289 |
| 9 | 0.996794 | 0.00641133 | 0.00320566 |
| 10 | 0.993769 | 0.0124613 | 0.00623064 |
| 11 | 0.995044 | 0.00991142 | 0.00495571 |
| 12 | 0.997053 | 0.00589324 | 0.00294662 |
| 13 | 0.994549 | 0.010902 | 0.00545098 |
| 14 | 0.990418 | 0.019165 | 0.00958249 |
| 15 | 0.985744 | 0.028511 | 0.0142555 |
| 16 | 0.978465 | 0.043071 | 0.0215355 |
| 17 | 0.96648 | 0.0670407 | 0.0335204 |
| 18 | 0.958381 | 0.0832385 | 0.0416192 |
| 19 | 0.962754 | 0.0744924 | 0.0372462 |
| 20 | 0.946594 | 0.106812 | 0.053406 |
| 21 | 0.930093 | 0.139815 | 0.0699075 |
| 22 | 0.908008 | 0.183983 | 0.0919917 |
| 23 | 0.882796 | 0.234408 | 0.117204 |
| 24 | 0.847528 | 0.304945 | 0.152472 |
| 25 | 0.815947 | 0.368106 | 0.184053 |
| 26 | 0.925949 | 0.148103 | 0.0740515 |
| 27 | 0.905331 | 0.189337 | 0.0946687 |
| 28 | 0.889118 | 0.221764 | 0.110882 |
| 29 | 0.864479 | 0.271043 | 0.135521 |
| 30 | 0.836986 | 0.326029 | 0.163014 |
| 31 | 0.845913 | 0.308174 | 0.154087 |
| 32 | 0.816619 | 0.366762 | 0.183381 |
| 33 | 0.785898 | 0.428204 | 0.214102 |
| 34 | 0.757385 | 0.485231 | 0.242615 |
| 35 | 0.713172 | 0.573657 | 0.286828 |
| 36 | 0.74512 | 0.50976 | 0.25488 |
| 37 | 0.806555 | 0.386891 | 0.193445 |
| 38 | 0.768934 | 0.462133 | 0.231066 |
| 39 | 0.742522 | 0.514956 | 0.257478 |
| 40 | 0.753956 | 0.492087 | 0.246044 |
| 41 | 0.753791 | 0.492417 | 0.246209 |
| 42 | 0.73657 | 0.52686 | 0.26343 |
| 43 | 0.733103 | 0.533794 | 0.266897 |
| 44 | 0.692345 | 0.61531 | 0.307655 |
| 45 | 0.650716 | 0.698568 | 0.349284 |
| 46 | 0.622761 | 0.754478 | 0.377239 |
| 47 | 0.634974 | 0.730051 | 0.365026 |
| 48 | 0.599927 | 0.800146 | 0.400073 |
| 49 | 0.636917 | 0.726167 | 0.363083 |
| 50 | 0.611282 | 0.777436 | 0.388718 |
| 51 | 0.594403 | 0.811193 | 0.405597 |
| 52 | 0.557254 | 0.885493 | 0.442746 |
| 53 | 0.569151 | 0.861698 | 0.430849 |
| 54 | 0.524803 | 0.950395 | 0.475197 |
| 55 | 0.548847 | 0.902305 | 0.451153 |
| 56 | 0.538487 | 0.923026 | 0.461513 |
| 57 | 0.512791 | 0.974418 | 0.487209 |
| 58 | 0.541111 | 0.917778 | 0.458889 |
| 59 | 0.573468 | 0.853064 | 0.426532 |
| 60 | 0.542023 | 0.915954 | 0.457977 |
| 61 | 0.567106 | 0.865789 | 0.432894 |
| 62 | 0.531258 | 0.937484 | 0.468742 |
| 63 | 0.524028 | 0.951943 | 0.475972 |
| 64 | 0.485607 | 0.971214 | 0.514393 |
| 65 | 0.447385 | 0.89477 | 0.552615 |
| 66 | 0.485885 | 0.971769 | 0.514115 |
| 67 | 0.493023 | 0.986045 | 0.506977 |
| 68 | 0.475321 | 0.950643 | 0.524679 |
| 69 | 0.437597 | 0.875194 | 0.562403 |
| 70 | 0.414971 | 0.829941 | 0.585029 |
| 71 | 0.375989 | 0.751978 | 0.624011 |
| 72 | 0.376776 | 0.753551 | 0.623224 |
| 73 | 0.341898 | 0.683795 | 0.658102 |
| 74 | 0.322313 | 0.644626 | 0.677687 |
| 75 | 0.309107 | 0.618214 | 0.690893 |
| 76 | 0.428547 | 0.857094 | 0.571453 |
| 77 | 0.41165 | 0.823299 | 0.58835 |
| 78 | 0.436917 | 0.873834 | 0.563083 |
| 79 | 0.398558 | 0.797116 | 0.601442 |
| 80 | 0.44752 | 0.89504 | 0.55248 |
| 81 | 0.418322 | 0.836643 | 0.581678 |
| 82 | 0.430837 | 0.861673 | 0.569163 |
| 83 | 0.394141 | 0.788281 | 0.605859 |
| 84 | 0.358345 | 0.71669 | 0.641655 |
| 85 | 0.323441 | 0.646883 | 0.676559 |
| 86 | 0.29216 | 0.584321 | 0.70784 |
| 87 | 0.263464 | 0.526928 | 0.736536 |
| 88 | 0.239856 | 0.479711 | 0.760144 |
| 89 | 0.300459 | 0.600917 | 0.699541 |
| 90 | 0.277655 | 0.55531 | 0.722345 |
| 91 | 0.258608 | 0.517215 | 0.741392 |
| 92 | 0.230829 | 0.461659 | 0.769171 |
| 93 | 0.21599 | 0.43198 | 0.78401 |
| 94 | 0.19866 | 0.397321 | 0.80134 |
| 95 | 0.173782 | 0.347563 | 0.826218 |
| 96 | 0.162316 | 0.324632 | 0.837684 |
| 97 | 0.150036 | 0.300072 | 0.849964 |
| 98 | 0.129475 | 0.25895 | 0.870525 |
| 99 | 0.126728 | 0.253456 | 0.873272 |
| 100 | 0.109559 | 0.219119 | 0.890441 |
| 101 | 0.101008 | 0.202016 | 0.898992 |
| 102 | 0.0867563 | 0.173513 | 0.913244 |
| 103 | 0.10594 | 0.211881 | 0.89406 |
| 104 | 0.117611 | 0.235222 | 0.882389 |
| 105 | 0.120174 | 0.240349 | 0.879826 |
| 106 | 0.102995 | 0.20599 | 0.897005 |
| 107 | 0.119727 | 0.239455 | 0.880273 |
| 108 | 0.104328 | 0.208656 | 0.895672 |
| 109 | 0.252037 | 0.504074 | 0.747963 |
| 110 | 0.234842 | 0.469684 | 0.765158 |
| 111 | 0.20908 | 0.418159 | 0.79092 |
| 112 | 0.210574 | 0.421147 | 0.789426 |
| 113 | 0.194392 | 0.388785 | 0.805608 |
| 114 | 0.178168 | 0.356336 | 0.821832 |
| 115 | 0.159162 | 0.318324 | 0.840838 |
| 116 | 0.139646 | 0.279292 | 0.860354 |
| 117 | 0.12153 | 0.24306 | 0.87847 |
| 118 | 0.149702 | 0.299405 | 0.850298 |
| 119 | 0.140001 | 0.280002 | 0.859999 |
| 120 | 0.121009 | 0.242018 | 0.878991 |
| 121 | 0.108517 | 0.217034 | 0.891483 |
| 122 | 0.0987082 | 0.197416 | 0.901292 |
| 123 | 0.12094 | 0.24188 | 0.87906 |
| 124 | 0.107281 | 0.214563 | 0.892719 |
| 125 | 0.106858 | 0.213716 | 0.893142 |
| 126 | 0.106609 | 0.213218 | 0.893391 |
| 127 | 0.0921724 | 0.184345 | 0.907828 |
| 128 | 0.082878 | 0.165756 | 0.917122 |
| 129 | 0.0703014 | 0.140603 | 0.929699 |
| 130 | 0.0701915 | 0.140383 | 0.929808 |
| 131 | 0.0686524 | 0.137305 | 0.931348 |
| 132 | 0.0641697 | 0.128339 | 0.93583 |
| 133 | 0.0599885 | 0.119977 | 0.940011 |
| 134 | 0.0504307 | 0.100861 | 0.949569 |
| 135 | 0.0479154 | 0.0958309 | 0.952085 |
| 136 | 0.120147 | 0.240294 | 0.879853 |
| 137 | 0.104658 | 0.209316 | 0.895342 |
| 138 | 0.0894004 | 0.178801 | 0.9106 |
| 139 | 0.080896 | 0.161792 | 0.919104 |
| 140 | 0.0777522 | 0.155504 | 0.922248 |
| 141 | 0.0739684 | 0.147937 | 0.926032 |
| 142 | 0.0693755 | 0.138751 | 0.930625 |
| 143 | 0.0598759 | 0.119752 | 0.940124 |
| 144 | 0.0505427 | 0.101085 | 0.949457 |
| 145 | 0.0430901 | 0.0861802 | 0.95691 |
| 146 | 0.0359155 | 0.071831 | 0.964085 |
| 147 | 0.0346617 | 0.0693234 | 0.965338 |
| 148 | 0.0402027 | 0.0804053 | 0.959797 |
| 149 | 0.0362095 | 0.0724191 | 0.96379 |
| 150 | 0.0298527 | 0.0597055 | 0.970147 |
| 151 | 0.0321323 | 0.0642646 | 0.967868 |
| 152 | 0.0308112 | 0.0616225 | 0.969189 |
| 153 | 0.029786 | 0.059572 | 0.970214 |
| 154 | 0.0269427 | 0.0538853 | 0.973057 |
| 155 | 0.0298095 | 0.059619 | 0.97019 |
| 156 | 0.0253287 | 0.0506574 | 0.974671 |
| 157 | 0.020633 | 0.041266 | 0.979367 |
| 158 | 0.0178008 | 0.0356015 | 0.982199 |
| 159 | 0.0277814 | 0.0555629 | 0.972219 |
| 160 | 0.0284435 | 0.056887 | 0.971557 |
| 161 | 0.0252307 | 0.0504614 | 0.974769 |
| 162 | 0.067925 | 0.13585 | 0.932075 |
| 163 | 0.0568871 | 0.113774 | 0.943113 |
| 164 | 0.197936 | 0.395872 | 0.802064 |
| 165 | 0.182001 | 0.364002 | 0.817999 |
| 166 | 0.306033 | 0.612067 | 0.693967 |
| 167 | 0.282338 | 0.564676 | 0.717662 |
| 168 | 0.260869 | 0.521739 | 0.739131 |
| 169 | 0.237465 | 0.474931 | 0.762535 |
| 170 | 0.212044 | 0.424088 | 0.787956 |
| 171 | 0.244222 | 0.488445 | 0.755778 |
| 172 | 0.216938 | 0.433875 | 0.783062 |
| 173 | 0.288261 | 0.576522 | 0.711739 |
| 174 | 0.281009 | 0.562018 | 0.718991 |
| 175 | 0.256933 | 0.513866 | 0.743067 |
| 176 | 0.32944 | 0.658879 | 0.67056 |
| 177 | 0.304483 | 0.608965 | 0.695517 |
| 178 | 0.305534 | 0.611068 | 0.694466 |
| 179 | 0.285288 | 0.570576 | 0.714712 |
| 180 | 0.266545 | 0.53309 | 0.733455 |
| 181 | 0.255311 | 0.510622 | 0.744689 |
| 182 | 0.335785 | 0.67157 | 0.664215 |
| 183 | 0.31139 | 0.622779 | 0.68861 |
| 184 | 0.327023 | 0.654045 | 0.672977 |
| 185 | 0.304349 | 0.608697 | 0.695651 |
| 186 | 0.371446 | 0.742892 | 0.628554 |
| 187 | 0.337775 | 0.67555 | 0.662225 |
| 188 | 0.305133 | 0.610266 | 0.694867 |
| 189 | 0.272579 | 0.545159 | 0.727421 |
| 190 | 0.358408 | 0.716817 | 0.641592 |
| 191 | 0.354119 | 0.708237 | 0.645881 |
| 192 | 0.372548 | 0.745096 | 0.627452 |
| 193 | 0.363996 | 0.727993 | 0.636004 |
| 194 | 0.328334 | 0.656667 | 0.671666 |
| 195 | 0.301909 | 0.603818 | 0.698091 |
| 196 | 0.313209 | 0.626419 | 0.686791 |
| 197 | 0.417242 | 0.834485 | 0.582758 |
| 198 | 0.390073 | 0.780146 | 0.609927 |
| 199 | 0.353076 | 0.706152 | 0.646924 |
| 200 | 0.31974 | 0.639481 | 0.68026 |
| 201 | 0.285457 | 0.570914 | 0.714543 |
| 202 | 0.252655 | 0.50531 | 0.747345 |
| 203 | 0.221808 | 0.443616 | 0.778192 |
| 204 | 0.191688 | 0.383376 | 0.808312 |
| 205 | 0.17145 | 0.342899 | 0.82855 |
| 206 | 0.146078 | 0.292156 | 0.853922 |
| 207 | 0.129523 | 0.259045 | 0.870477 |
| 208 | 0.134563 | 0.269127 | 0.865437 |
| 209 | 0.112486 | 0.224973 | 0.887514 |
| 210 | 0.0931871 | 0.186374 | 0.906813 |
| 211 | 0.0770561 | 0.154112 | 0.922944 |
| 212 | 0.0633034 | 0.126607 | 0.936697 |
| 213 | 0.056666 | 0.113332 | 0.943334 |
| 214 | 0.0652994 | 0.130599 | 0.934701 |
| 215 | 0.0535484 | 0.107097 | 0.946452 |
| 216 | 0.0430222 | 0.0860444 | 0.956978 |
| 217 | 0.0335943 | 0.0671886 | 0.966406 |
| 218 | 0.0278555 | 0.055711 | 0.972144 |
| 219 | 0.0295062 | 0.0590125 | 0.970494 |
| 220 | 0.0240151 | 0.0480301 | 0.975985 |
| 221 | 0.029681 | 0.059362 | 0.970319 |
| 222 | 0.0225203 | 0.0450405 | 0.97748 |
| 223 | 0.0169112 | 0.0338225 | 0.983089 |
| 224 | 0.0179526 | 0.0359053 | 0.982047 |
| 225 | 0.0191889 | 0.0383778 | 0.980811 |
| 226 | 0.0152913 | 0.0305826 | 0.984709 |
| 227 | 0.0127148 | 0.0254295 | 0.987285 |
| 228 | 0.0125676 | 0.0251352 | 0.987432 |
| 229 | 0.0184873 | 0.0369745 | 0.981513 |
| 230 | 0.0173993 | 0.0347986 | 0.982601 |
| 231 | 0.0135633 | 0.0271265 | 0.986437 |
| 232 | 0.0102339 | 0.0204677 | 0.989766 |
| 233 | 0.0126636 | 0.0253273 | 0.987336 |
| 234 | 0.0106383 | 0.0212766 | 0.989362 |
| 235 | 0.0110336 | 0.0220672 | 0.988966 |
| 236 | 0.00868702 | 0.017374 | 0.991313 |
| 237 | 0.00742524 | 0.0148505 | 0.992575 |
| 238 | 0.00551032 | 0.0110206 | 0.99449 |
| 239 | 0.0205473 | 0.0410946 | 0.979453 |
| 240 | 0.0268703 | 0.0537405 | 0.97313 |
| 241 | 0.051897 | 0.103794 | 0.948103 |
| 242 | 0.0368938 | 0.0737876 | 0.963106 |
| 243 | 0.0258412 | 0.0516825 | 0.974159 |
| 244 | 0.0172762 | 0.0345525 | 0.982724 |
| 245 | 0.0113229 | 0.0226458 | 0.988677 |
| 246 | 0.0156122 | 0.0312243 | 0.984388 |
| 247 | 0.00967953 | 0.0193591 | 0.99032 |
| 248 | 0.277612 | 0.555224 | 0.722388 |
| 249 | 0.30044 | 0.600881 | 0.69956 |
| 250 | 0.455715 | 0.911431 | 0.544285 |
| 251 | 0.454928 | 0.909855 | 0.545072 |
| 252 | 0.834659 | 0.330681 | 0.165341 |
| 253 | 0.904295 | 0.19141 | 0.0957051 |
| 254 | 0.982426 | 0.0351481 | 0.017574 |
| 255 | 0.962579 | 0.0748415 | 0.0374208 |
| 256 | 0.958062 | 0.0838756 | 0.0419378 |
| Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity | |||
| Description | # significant tests | % significant tests | OK/NOK |
| 1% type I error level | 4 | 0.0160643 | NOK |
| 5% type I error level | 35 | 0.140562 | NOK |
| 10% type I error level | 64 | 0.257028 | NOK |
