| Multiple Linear Regression - Estimated Regression Equation |
| Happiness[t] = + 16.2899 + 0.0178216Connected[t] + 0.0122179Separate[t] + 0.116518Learning[t] -0.00484806Software[t] -0.397333Depression[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) | 16.2899 | 1.59853 | 10.19 | 1.02802e-20 | 5.1401e-21 |
| Connected | 0.0178216 | 0.0373263 | 0.4775 | 0.633444 | 0.316722 |
| Separate | 0.0122179 | 0.0384101 | 0.3181 | 0.750674 | 0.375337 |
| Learning | 0.116518 | 0.0667798 | 1.745 | 0.0822085 | 0.0411042 |
| Software | -0.00484806 | 0.0690614 | -0.0702 | 0.944089 | 0.472045 |
| Depression | -0.397333 | 0.0371904 | -10.68 | 2.66713e-22 | 1.33357e-22 |
| Multiple Linear Regression - Regression Statistics | |
| Multiple R | 0.595766 |
| R-squared | 0.354937 |
| Adjusted R-squared | 0.342436 |
| F-TEST (value) | 28.3922 |
| F-TEST (DF numerator) | 5 |
| F-TEST (DF denominator) | 258 |
| p-value | 0 |
| Multiple Linear Regression - Residual Statistics | |
| Residual Standard Deviation | 2.02616 |
| Sum Squared Residuals | 1059.17 |
| Multiple Linear Regression - Actuals, Interpolation, and Residuals | |||
| Time or Index | Actuals | Interpolation Forecast | Residuals Prediction Error |
| 1 | 14 | 14.1734 | -0.173419 |
| 2 | 18 | 14.8162 | 3.1838 |
| 3 | 11 | 13.8306 | -2.83063 |
| 4 | 12 | 14.1962 | -2.19624 |
| 5 | 16 | 10.5721 | 5.42788 |
| 6 | 18 | 13.9662 | 4.03378 |
| 7 | 14 | 10.778 | 3.22197 |
| 8 | 14 | 14.6449 | -0.644905 |
| 9 | 15 | 14.9588 | 0.0411583 |
| 10 | 15 | 13.9524 | 1.04762 |
| 11 | 17 | 15.1883 | 1.81165 |
| 12 | 19 | 15.9743 | 3.02567 |
| 13 | 10 | 13.2409 | -3.24086 |
| 14 | 16 | 13.6975 | 2.30249 |
| 15 | 18 | 15.2648 | 2.73518 |
| 16 | 14 | 13.3903 | 0.609694 |
| 17 | 14 | 13.4591 | 0.54093 |
| 18 | 17 | 15.3329 | 1.66709 |
| 19 | 14 | 15.5199 | -1.51988 |
| 20 | 16 | 13.8919 | 2.10806 |
| 21 | 18 | 15.2997 | 2.70033 |
| 22 | 11 | 13.4646 | -2.46457 |
| 23 | 14 | 14.832 | -0.832037 |
| 24 | 12 | 13.6741 | -1.67409 |
| 25 | 17 | 14.9279 | 2.07213 |
| 26 | 9 | 15.7533 | -6.75334 |
| 27 | 16 | 14.8042 | 1.19576 |
| 28 | 14 | 13.05 | 0.95003 |
| 29 | 15 | 13.5246 | 1.47535 |
| 30 | 11 | 13.7165 | -2.71646 |
| 31 | 16 | 15.3347 | 0.665287 |
| 32 | 13 | 12.5615 | 0.438515 |
| 33 | 17 | 14.9375 | 2.06251 |
| 34 | 15 | 14.7833 | 0.216662 |
| 35 | 14 | 13.6701 | 0.32989 |
| 36 | 16 | 15.216 | 0.784047 |
| 37 | 9 | 10.3604 | -1.36036 |
| 38 | 15 | 14.1397 | 0.86026 |
| 39 | 17 | 15.028 | 1.97205 |
| 40 | 13 | 15.1593 | -2.15932 |
| 41 | 15 | 15.5801 | -0.580075 |
| 42 | 16 | 13.3094 | 2.69057 |
| 43 | 16 | 16.4371 | -0.437062 |
| 44 | 12 | 13.3369 | -1.33695 |
| 45 | 15 | 14.5213 | 0.478677 |
| 46 | 11 | 13.4351 | -2.43511 |
| 47 | 15 | 15.4358 | -0.435841 |
| 48 | 15 | 14.6172 | 0.382808 |
| 49 | 17 | 13.2467 | 3.75329 |
| 50 | 13 | 14.5605 | -1.5605 |
| 51 | 16 | 15.1475 | 0.852451 |
| 52 | 14 | 13.2468 | 0.75317 |
| 53 | 11 | 11.4514 | -0.45142 |
| 54 | 12 | 13.5987 | -1.59871 |
| 55 | 12 | 13.9049 | -1.90491 |
| 56 | 15 | 13.2178 | 1.78225 |
| 57 | 16 | 14.0411 | 1.95887 |
| 58 | 15 | 15.4522 | -0.452242 |
| 59 | 12 | 15.1102 | -3.11025 |
| 60 | 12 | 13.1849 | -1.18487 |
| 61 | 8 | 10.5843 | -2.58426 |
| 62 | 13 | 14.4206 | -1.42064 |
| 63 | 11 | 14.3519 | -3.35187 |
| 64 | 14 | 13.2853 | 0.71475 |
| 65 | 15 | 13.9154 | 1.08464 |
| 66 | 10 | 14.9128 | -4.91283 |
| 67 | 11 | 12.6339 | -1.63389 |
| 68 | 12 | 14.4304 | -2.43042 |
| 69 | 15 | 13.6484 | 1.35164 |
| 70 | 15 | 13.6092 | 1.39084 |
| 71 | 14 | 13.368 | 0.631976 |
| 72 | 16 | 12.9246 | 3.07543 |
| 73 | 15 | 14.2364 | 0.763553 |
| 74 | 15 | 15.5242 | -0.524168 |
| 75 | 13 | 14.6612 | -1.66116 |
| 76 | 12 | 11.7393 | 0.260681 |
| 77 | 17 | 14.0373 | 2.96271 |
| 78 | 13 | 12.3309 | 0.669119 |
| 79 | 15 | 13.4589 | 1.54112 |
| 80 | 13 | 15.5093 | -2.50929 |
| 81 | 15 | 14.7533 | 0.246702 |
| 82 | 15 | 15.5958 | -0.595825 |
| 83 | 16 | 14.2741 | 1.72592 |
| 84 | 15 | 14.202 | 0.797962 |
| 85 | 14 | 13.9072 | 0.0927611 |
| 86 | 15 | 13.8659 | 1.1341 |
| 87 | 14 | 14.3315 | -0.331529 |
| 88 | 13 | 13.0438 | -0.0438084 |
| 89 | 7 | 10.2295 | -3.22946 |
| 90 | 17 | 13.4715 | 3.52854 |
| 91 | 13 | 13.2705 | -0.270533 |
| 92 | 15 | 14.0554 | 0.944635 |
| 93 | 14 | 12.9319 | 1.06812 |
| 94 | 13 | 13.6632 | -0.663151 |
| 95 | 16 | 14.8699 | 1.13008 |
| 96 | 12 | 12.8209 | -0.820854 |
| 97 | 14 | 14.7424 | -0.742396 |
| 98 | 17 | 14.8001 | 2.19985 |
| 99 | 15 | 14.9095 | 0.0905306 |
| 100 | 17 | 15.23 | 1.76996 |
| 101 | 12 | 12.8305 | -0.83055 |
| 102 | 16 | 14.8732 | 1.12682 |
| 103 | 11 | 14.5261 | -3.52606 |
| 104 | 15 | 12.8081 | 2.19187 |
| 105 | 9 | 11.301 | -2.30096 |
| 106 | 16 | 14.9467 | 1.05329 |
| 107 | 15 | 12.9459 | 2.05414 |
| 108 | 10 | 13.2101 | -3.21006 |
| 109 | 10 | 9.39766 | 0.60234 |
| 110 | 15 | 13.4834 | 1.5166 |
| 111 | 11 | 13.082 | -2.08197 |
| 112 | 13 | 14.9179 | -1.91793 |
| 113 | 14 | 12.7648 | 1.23522 |
| 114 | 18 | 13.9464 | 4.05356 |
| 115 | 16 | 15.4012 | 0.598766 |
| 116 | 14 | 13.3723 | 0.627714 |
| 117 | 14 | 13.8117 | 0.188319 |
| 118 | 14 | 15.191 | -1.19104 |
| 119 | 14 | 13.2531 | 0.746926 |
| 120 | 12 | 12.8315 | -0.831478 |
| 121 | 14 | 13.4108 | 0.589153 |
| 122 | 15 | 14.5295 | 0.470495 |
| 123 | 15 | 16.0313 | -1.03132 |
| 124 | 15 | 14.6243 | 0.375693 |
| 125 | 13 | 14.6665 | -1.66646 |
| 126 | 17 | 15.8965 | 1.10347 |
| 127 | 17 | 15.5047 | 1.49531 |
| 128 | 19 | 14.6513 | 4.34868 |
| 129 | 15 | 13.4964 | 1.5036 |
| 130 | 13 | 14.7085 | -1.70852 |
| 131 | 9 | 10.3451 | -1.34506 |
| 132 | 15 | 15.307 | -0.306992 |
| 133 | 15 | 12.5225 | 2.47749 |
| 134 | 15 | 14.2187 | 0.781349 |
| 135 | 16 | 13.3414 | 2.65857 |
| 136 | 11 | 9.39013 | 1.60987 |
| 137 | 14 | 13.4552 | 0.544767 |
| 138 | 11 | 12.1281 | -1.12806 |
| 139 | 15 | 14.3178 | 0.682175 |
| 140 | 13 | 13.7401 | -0.740058 |
| 141 | 15 | 15.1278 | -0.127766 |
| 142 | 16 | 13.4181 | 2.58192 |
| 143 | 14 | 14.3923 | -0.392256 |
| 144 | 15 | 14.1663 | 0.833662 |
| 145 | 16 | 14.1372 | 1.86276 |
| 146 | 16 | 14.4564 | 1.54363 |
| 147 | 11 | 13.6625 | -2.66254 |
| 148 | 12 | 14.6744 | -2.67439 |
| 149 | 9 | 11.2264 | -2.2264 |
| 150 | 16 | 13.8069 | 2.19314 |
| 151 | 13 | 12.4205 | 0.579454 |
| 152 | 16 | 15.6048 | 0.395234 |
| 153 | 12 | 14.4574 | -2.45735 |
| 154 | 9 | 11.4257 | -2.42566 |
| 155 | 13 | 11.2312 | 1.76884 |
| 156 | 13 | 13.2705 | -0.270533 |
| 157 | 14 | 13.2352 | 0.76477 |
| 158 | 19 | 14.6513 | 4.34868 |
| 159 | 13 | 15.5218 | -2.52176 |
| 160 | 12 | 11.5319 | 0.468099 |
| 161 | 13 | 12.4543 | 0.545707 |
| 162 | 10 | 9.019 | 0.980997 |
| 163 | 14 | 12.9568 | 1.0432 |
| 164 | 16 | 11.3366 | 4.66342 |
| 165 | 10 | 11.9196 | -1.91962 |
| 166 | 11 | 9.07188 | 1.92812 |
| 167 | 14 | 14.0377 | -0.0376586 |
| 168 | 12 | 12.7196 | -0.719561 |
| 169 | 9 | 12.4593 | -3.45934 |
| 170 | 9 | 11.8773 | -2.87726 |
| 171 | 11 | 10.7554 | 0.244638 |
| 172 | 16 | 14.4216 | 1.57835 |
| 173 | 9 | 14.0299 | -5.02994 |
| 174 | 13 | 11.3722 | 1.62777 |
| 175 | 16 | 13.4483 | 2.55172 |
| 176 | 13 | 15.4063 | -2.40625 |
| 177 | 9 | 12.3546 | -3.35459 |
| 178 | 12 | 11.3937 | 0.606333 |
| 179 | 16 | 14.8306 | 1.16944 |
| 180 | 11 | 13.2111 | -2.2111 |
| 181 | 14 | 14.8068 | -0.806763 |
| 182 | 13 | 14.9568 | -1.9568 |
| 183 | 15 | 15.0527 | -0.0526651 |
| 184 | 14 | 15.0743 | -1.07435 |
| 185 | 16 | 13.5274 | 2.47263 |
| 186 | 13 | 11.5568 | 1.44319 |
| 187 | 14 | 13.7117 | 0.288306 |
| 188 | 15 | 13.96 | 1.04003 |
| 189 | 13 | 12.8161 | 0.183902 |
| 190 | 11 | 10.2135 | 0.786507 |
| 191 | 11 | 13.7078 | -2.70777 |
| 192 | 14 | 15.2886 | -1.28861 |
| 193 | 15 | 12.6871 | 2.31295 |
| 194 | 11 | 12.8193 | -1.81934 |
| 195 | 15 | 13.1547 | 1.84525 |
| 196 | 12 | 14.3352 | -2.33517 |
| 197 | 14 | 11.5459 | 2.45409 |
| 198 | 14 | 13.1762 | 0.823816 |
| 199 | 8 | 11.3195 | -3.31949 |
| 200 | 13 | 13.785 | -0.78501 |
| 201 | 9 | 12.2425 | -3.24253 |
| 202 | 15 | 13.8989 | 1.10108 |
| 203 | 17 | 14.142 | 2.85802 |
| 204 | 13 | 13.0642 | -0.0641768 |
| 205 | 15 | 14.6317 | 0.368264 |
| 206 | 15 | 13.8648 | 1.13522 |
| 207 | 14 | 14.4087 | -0.408674 |
| 208 | 16 | 13.1996 | 2.80039 |
| 209 | 13 | 13.0052 | -0.00521584 |
| 210 | 16 | 14.2303 | 1.76969 |
| 211 | 9 | 11.8844 | -2.8844 |
| 212 | 16 | 14.5275 | 1.47246 |
| 213 | 11 | 11.8791 | -0.879129 |
| 214 | 10 | 13.7592 | -3.75917 |
| 215 | 11 | 12.3927 | -1.39273 |
| 216 | 15 | 13.5118 | 1.48821 |
| 217 | 17 | 14.8624 | 2.13755 |
| 218 | 14 | 14.2151 | -0.215119 |
| 219 | 8 | 10.0937 | -2.09372 |
| 220 | 15 | 13.5349 | 1.4651 |
| 221 | 11 | 14.0054 | -3.0054 |
| 222 | 16 | 14.2217 | 1.77827 |
| 223 | 10 | 12.2039 | -2.20391 |
| 224 | 15 | 15.0119 | -0.0119211 |
| 225 | 9 | 10.4628 | -1.46278 |
| 226 | 16 | 14.2298 | 1.77025 |
| 227 | 19 | 14.4454 | 4.55456 |
| 228 | 12 | 14.113 | -2.11304 |
| 229 | 8 | 9.39842 | -1.39842 |
| 230 | 11 | 13.5127 | -2.51271 |
| 231 | 14 | 13.98 | 0.0199866 |
| 232 | 9 | 12.1017 | -3.10166 |
| 233 | 15 | 15.5348 | -0.534795 |
| 234 | 13 | 12.6986 | 0.301441 |
| 235 | 16 | 15.1771 | 0.822944 |
| 236 | 11 | 12.9808 | -1.98078 |
| 237 | 12 | 10.9982 | 1.00185 |
| 238 | 13 | 13.5526 | -0.552582 |
| 239 | 10 | 14.6209 | -4.62092 |
| 240 | 11 | 13.6791 | -2.67908 |
| 241 | 12 | 14.5481 | -2.54815 |
| 242 | 8 | 11.1368 | -3.13684 |
| 243 | 12 | 11.9243 | 0.0756938 |
| 244 | 12 | 12.4452 | -0.445157 |
| 245 | 15 | 13.4647 | 1.53533 |
| 246 | 11 | 10.6471 | 0.352883 |
| 247 | 13 | 12.9154 | 0.0845653 |
| 248 | 14 | 9.30533 | 4.69467 |
| 249 | 10 | 10.2979 | -0.297851 |
| 250 | 12 | 11.9058 | 0.09424 |
| 251 | 15 | 12.9429 | 2.05713 |
| 252 | 13 | 11.6456 | 1.35444 |
| 253 | 13 | 14.3453 | -1.34534 |
| 254 | 13 | 13.9243 | -0.924305 |
| 255 | 12 | 11.9476 | 0.0524434 |
| 256 | 12 | 12.9169 | -0.916946 |
| 257 | 9 | 10.8278 | -1.82783 |
| 258 | 9 | 11.6738 | -2.67381 |
| 259 | 15 | 12.8661 | 2.13389 |
| 260 | 10 | 14.553 | -4.55305 |
| 261 | 14 | 14.0641 | -0.0640583 |
| 262 | 15 | 13.8156 | 1.18437 |
| 263 | 7 | 9.94904 | -2.94904 |
| 264 | 14 | 14.0173 | -0.0173152 |
| Goldfeld-Quandt test for Heteroskedasticity | |||
| p-values | Alternative Hypothesis | ||
| breakpoint index | greater | 2-sided | less |
| 9 | 0.564454 | 0.871092 | 0.435546 |
| 10 | 0.612153 | 0.775695 | 0.387847 |
| 11 | 0.508921 | 0.982157 | 0.491079 |
| 12 | 0.763909 | 0.472181 | 0.236091 |
| 13 | 0.944948 | 0.110105 | 0.0550525 |
| 14 | 0.945268 | 0.109464 | 0.0547321 |
| 15 | 0.970682 | 0.0586362 | 0.0293181 |
| 16 | 0.955252 | 0.0894969 | 0.0447485 |
| 17 | 0.938628 | 0.122743 | 0.0613716 |
| 18 | 0.93561 | 0.128779 | 0.0643897 |
| 19 | 0.922594 | 0.154811 | 0.0774057 |
| 20 | 0.902277 | 0.195446 | 0.0977232 |
| 21 | 0.908415 | 0.18317 | 0.091585 |
| 22 | 0.945595 | 0.10881 | 0.054405 |
| 23 | 0.930882 | 0.138235 | 0.0691177 |
| 24 | 0.921711 | 0.156577 | 0.0782886 |
| 25 | 0.898601 | 0.202799 | 0.101399 |
| 26 | 0.997909 | 0.00418273 | 0.00209136 |
| 27 | 0.996958 | 0.00608478 | 0.00304239 |
| 28 | 0.995386 | 0.00922854 | 0.00461427 |
| 29 | 0.993369 | 0.013262 | 0.00663101 |
| 30 | 0.996512 | 0.00697521 | 0.0034876 |
| 31 | 0.994851 | 0.0102977 | 0.00514887 |
| 32 | 0.992851 | 0.0142988 | 0.0071494 |
| 33 | 0.991276 | 0.0174482 | 0.0087241 |
| 34 | 0.987608 | 0.0247841 | 0.0123921 |
| 35 | 0.983534 | 0.0329325 | 0.0164663 |
| 36 | 0.977519 | 0.0449629 | 0.0224815 |
| 37 | 0.982576 | 0.0348476 | 0.0174238 |
| 38 | 0.976567 | 0.0468659 | 0.0234329 |
| 39 | 0.974318 | 0.0513638 | 0.0256819 |
| 40 | 0.975482 | 0.0490353 | 0.0245176 |
| 41 | 0.968455 | 0.0630895 | 0.0315448 |
| 42 | 0.967554 | 0.0648918 | 0.0324459 |
| 43 | 0.958262 | 0.0834768 | 0.0417384 |
| 44 | 0.955647 | 0.088705 | 0.0443525 |
| 45 | 0.943597 | 0.112806 | 0.056403 |
| 46 | 0.953938 | 0.0921247 | 0.0460623 |
| 47 | 0.941606 | 0.116787 | 0.0583935 |
| 48 | 0.926935 | 0.14613 | 0.0730648 |
| 49 | 0.948157 | 0.103685 | 0.0518427 |
| 50 | 0.943159 | 0.113682 | 0.0568411 |
| 51 | 0.93082 | 0.138359 | 0.0691796 |
| 52 | 0.915181 | 0.169639 | 0.0848193 |
| 53 | 0.902409 | 0.195183 | 0.0975913 |
| 54 | 0.899625 | 0.20075 | 0.100375 |
| 55 | 0.895089 | 0.209822 | 0.104911 |
| 56 | 0.884274 | 0.231451 | 0.115726 |
| 57 | 0.876516 | 0.246967 | 0.123484 |
| 58 | 0.854201 | 0.291597 | 0.145799 |
| 59 | 0.879797 | 0.240406 | 0.120203 |
| 60 | 0.872841 | 0.254318 | 0.127159 |
| 61 | 0.899272 | 0.201455 | 0.100728 |
| 62 | 0.891007 | 0.217986 | 0.108993 |
| 63 | 0.92073 | 0.15854 | 0.0792699 |
| 64 | 0.905747 | 0.188505 | 0.0942527 |
| 65 | 0.890806 | 0.218388 | 0.109194 |
| 66 | 0.954016 | 0.0919681 | 0.0459841 |
| 67 | 0.952645 | 0.0947103 | 0.0473551 |
| 68 | 0.956643 | 0.086713 | 0.0433565 |
| 69 | 0.950111 | 0.0997779 | 0.049889 |
| 70 | 0.943209 | 0.113583 | 0.0567914 |
| 71 | 0.931419 | 0.137162 | 0.0685811 |
| 72 | 0.942207 | 0.115586 | 0.057793 |
| 73 | 0.93106 | 0.137879 | 0.0689397 |
| 74 | 0.918126 | 0.163749 | 0.0818745 |
| 75 | 0.909805 | 0.180391 | 0.0901954 |
| 76 | 0.893152 | 0.213696 | 0.106848 |
| 77 | 0.906984 | 0.186032 | 0.0930158 |
| 78 | 0.890812 | 0.218376 | 0.109188 |
| 79 | 0.8829 | 0.234201 | 0.1171 |
| 80 | 0.88417 | 0.231659 | 0.11583 |
| 81 | 0.864435 | 0.27113 | 0.135565 |
| 82 | 0.844029 | 0.311943 | 0.155971 |
| 83 | 0.836939 | 0.326122 | 0.163061 |
| 84 | 0.815612 | 0.368775 | 0.184388 |
| 85 | 0.78911 | 0.42178 | 0.21089 |
| 86 | 0.765502 | 0.468996 | 0.234498 |
| 87 | 0.736197 | 0.527606 | 0.263803 |
| 88 | 0.704501 | 0.590999 | 0.295499 |
| 89 | 0.770433 | 0.459133 | 0.229567 |
| 90 | 0.810583 | 0.378835 | 0.189417 |
| 91 | 0.784334 | 0.431332 | 0.215666 |
| 92 | 0.760045 | 0.479909 | 0.239955 |
| 93 | 0.740849 | 0.518301 | 0.259151 |
| 94 | 0.712381 | 0.575238 | 0.287619 |
| 95 | 0.687475 | 0.625051 | 0.312525 |
| 96 | 0.661234 | 0.677532 | 0.338766 |
| 97 | 0.631197 | 0.737607 | 0.368803 |
| 98 | 0.63698 | 0.726041 | 0.36302 |
| 99 | 0.602364 | 0.795272 | 0.397636 |
| 100 | 0.593957 | 0.812087 | 0.406043 |
| 101 | 0.567271 | 0.865459 | 0.432729 |
| 102 | 0.542944 | 0.914112 | 0.457056 |
| 103 | 0.601768 | 0.796465 | 0.398232 |
| 104 | 0.598234 | 0.803532 | 0.401766 |
| 105 | 0.610906 | 0.778187 | 0.389094 |
| 106 | 0.584513 | 0.830975 | 0.415487 |
| 107 | 0.577665 | 0.844669 | 0.422335 |
| 108 | 0.637957 | 0.724087 | 0.362043 |
| 109 | 0.612359 | 0.775282 | 0.387641 |
| 110 | 0.595949 | 0.808101 | 0.404051 |
| 111 | 0.59529 | 0.80942 | 0.40471 |
| 112 | 0.605476 | 0.789049 | 0.394524 |
| 113 | 0.58273 | 0.83454 | 0.41727 |
| 114 | 0.675801 | 0.648399 | 0.324199 |
| 115 | 0.647497 | 0.705006 | 0.352503 |
| 116 | 0.619045 | 0.761909 | 0.380955 |
| 117 | 0.588655 | 0.822691 | 0.411345 |
| 118 | 0.56746 | 0.865081 | 0.43254 |
| 119 | 0.536728 | 0.926543 | 0.463272 |
| 120 | 0.51058 | 0.978839 | 0.48942 |
| 121 | 0.481583 | 0.963167 | 0.518417 |
| 122 | 0.449788 | 0.899575 | 0.550212 |
| 123 | 0.423699 | 0.847399 | 0.576301 |
| 124 | 0.390785 | 0.781571 | 0.609215 |
| 125 | 0.375684 | 0.751368 | 0.624316 |
| 126 | 0.35151 | 0.70302 | 0.64849 |
| 127 | 0.336346 | 0.672692 | 0.663654 |
| 128 | 0.456471 | 0.912942 | 0.543529 |
| 129 | 0.440364 | 0.880727 | 0.559636 |
| 130 | 0.429769 | 0.859539 | 0.570231 |
| 131 | 0.411089 | 0.822179 | 0.588911 |
| 132 | 0.381486 | 0.762973 | 0.618514 |
| 133 | 0.399644 | 0.799288 | 0.600356 |
| 134 | 0.373032 | 0.746064 | 0.626968 |
| 135 | 0.401825 | 0.80365 | 0.598175 |
| 136 | 0.386229 | 0.772457 | 0.613771 |
| 137 | 0.355893 | 0.711786 | 0.644107 |
| 138 | 0.336574 | 0.673147 | 0.663426 |
| 139 | 0.30844 | 0.61688 | 0.69156 |
| 140 | 0.283474 | 0.566948 | 0.716526 |
| 141 | 0.254484 | 0.508969 | 0.745516 |
| 142 | 0.273825 | 0.547651 | 0.726175 |
| 143 | 0.245104 | 0.490208 | 0.754896 |
| 144 | 0.223748 | 0.447496 | 0.776252 |
| 145 | 0.217866 | 0.435732 | 0.782134 |
| 146 | 0.210419 | 0.420838 | 0.789581 |
| 147 | 0.227475 | 0.454951 | 0.772525 |
| 148 | 0.243611 | 0.487223 | 0.756389 |
| 149 | 0.253175 | 0.50635 | 0.746825 |
| 150 | 0.26204 | 0.524081 | 0.73796 |
| 151 | 0.23831 | 0.47662 | 0.76169 |
| 152 | 0.215275 | 0.43055 | 0.784725 |
| 153 | 0.227819 | 0.455638 | 0.772181 |
| 154 | 0.241069 | 0.482138 | 0.758931 |
| 155 | 0.232307 | 0.464613 | 0.767693 |
| 156 | 0.205727 | 0.411453 | 0.794273 |
| 157 | 0.186264 | 0.372528 | 0.813736 |
| 158 | 0.298177 | 0.596355 | 0.701823 |
| 159 | 0.310549 | 0.621098 | 0.689451 |
| 160 | 0.285724 | 0.571448 | 0.714276 |
| 161 | 0.261169 | 0.522338 | 0.738831 |
| 162 | 0.235758 | 0.471516 | 0.764242 |
| 163 | 0.213056 | 0.426112 | 0.786944 |
| 164 | 0.350198 | 0.700397 | 0.649802 |
| 165 | 0.342092 | 0.684185 | 0.657908 |
| 166 | 0.337036 | 0.674071 | 0.662964 |
| 167 | 0.304322 | 0.608644 | 0.695678 |
| 168 | 0.27831 | 0.556619 | 0.72169 |
| 169 | 0.328354 | 0.656708 | 0.671646 |
| 170 | 0.353844 | 0.707688 | 0.646156 |
| 171 | 0.324073 | 0.648146 | 0.675927 |
| 172 | 0.318825 | 0.637649 | 0.681175 |
| 173 | 0.486741 | 0.973483 | 0.513259 |
| 174 | 0.469682 | 0.939365 | 0.530318 |
| 175 | 0.493732 | 0.987465 | 0.506268 |
| 176 | 0.504405 | 0.99119 | 0.495595 |
| 177 | 0.560162 | 0.879676 | 0.439838 |
| 178 | 0.527382 | 0.945237 | 0.472618 |
| 179 | 0.503148 | 0.993704 | 0.496852 |
| 180 | 0.503591 | 0.992818 | 0.496409 |
| 181 | 0.468875 | 0.93775 | 0.531125 |
| 182 | 0.465092 | 0.930183 | 0.534908 |
| 183 | 0.426789 | 0.853578 | 0.573211 |
| 184 | 0.397419 | 0.794837 | 0.602581 |
| 185 | 0.425716 | 0.851431 | 0.574284 |
| 186 | 0.418036 | 0.836073 | 0.581964 |
| 187 | 0.38119 | 0.762381 | 0.61881 |
| 188 | 0.351446 | 0.702891 | 0.648554 |
| 189 | 0.316651 | 0.633302 | 0.683349 |
| 190 | 0.293049 | 0.586097 | 0.706951 |
| 191 | 0.307619 | 0.615237 | 0.692381 |
| 192 | 0.285299 | 0.570598 | 0.714701 |
| 193 | 0.305706 | 0.611413 | 0.694294 |
| 194 | 0.292193 | 0.584387 | 0.707807 |
| 195 | 0.291052 | 0.582104 | 0.708948 |
| 196 | 0.301251 | 0.602502 | 0.698749 |
| 197 | 0.338159 | 0.676319 | 0.661841 |
| 198 | 0.309763 | 0.619526 | 0.690237 |
| 199 | 0.346577 | 0.693155 | 0.653423 |
| 200 | 0.312431 | 0.624861 | 0.687569 |
| 201 | 0.358282 | 0.716564 | 0.641718 |
| 202 | 0.333544 | 0.667087 | 0.666456 |
| 203 | 0.377039 | 0.754078 | 0.622961 |
| 204 | 0.337008 | 0.674016 | 0.662992 |
| 205 | 0.301523 | 0.603046 | 0.698477 |
| 206 | 0.278189 | 0.556378 | 0.721811 |
| 207 | 0.243407 | 0.486814 | 0.756593 |
| 208 | 0.281861 | 0.563722 | 0.718139 |
| 209 | 0.246535 | 0.493071 | 0.753465 |
| 210 | 0.245336 | 0.490673 | 0.754664 |
| 211 | 0.269993 | 0.539987 | 0.730007 |
| 212 | 0.258276 | 0.516551 | 0.741724 |
| 213 | 0.224593 | 0.449187 | 0.775407 |
| 214 | 0.285988 | 0.571976 | 0.714012 |
| 215 | 0.259014 | 0.518028 | 0.740986 |
| 216 | 0.244958 | 0.489916 | 0.755042 |
| 217 | 0.259467 | 0.518934 | 0.740533 |
| 218 | 0.222878 | 0.445756 | 0.777122 |
| 219 | 0.212461 | 0.424921 | 0.787539 |
| 220 | 0.208258 | 0.416517 | 0.791742 |
| 221 | 0.229153 | 0.458306 | 0.770847 |
| 222 | 0.236822 | 0.473644 | 0.763178 |
| 223 | 0.230981 | 0.461963 | 0.769019 |
| 224 | 0.196736 | 0.393472 | 0.803264 |
| 225 | 0.17225 | 0.344501 | 0.82775 |
| 226 | 0.199556 | 0.399112 | 0.800444 |
| 227 | 0.464494 | 0.928988 | 0.535506 |
| 228 | 0.430781 | 0.861562 | 0.569219 |
| 229 | 0.409345 | 0.81869 | 0.590655 |
| 230 | 0.391084 | 0.782169 | 0.608916 |
| 231 | 0.345673 | 0.691346 | 0.654327 |
| 232 | 0.380554 | 0.761108 | 0.619446 |
| 233 | 0.351035 | 0.70207 | 0.648965 |
| 234 | 0.299751 | 0.599502 | 0.700249 |
| 235 | 0.304275 | 0.608549 | 0.695725 |
| 236 | 0.280971 | 0.561942 | 0.719029 |
| 237 | 0.236231 | 0.472461 | 0.763769 |
| 238 | 0.190191 | 0.380382 | 0.809809 |
| 239 | 0.328676 | 0.657353 | 0.671324 |
| 240 | 0.318578 | 0.637155 | 0.681422 |
| 241 | 0.301567 | 0.603134 | 0.698433 |
| 242 | 0.462477 | 0.924953 | 0.537523 |
| 243 | 0.453673 | 0.907345 | 0.546327 |
| 244 | 0.405703 | 0.811406 | 0.594297 |
| 245 | 0.409634 | 0.819268 | 0.590366 |
| 246 | 0.331709 | 0.663418 | 0.668291 |
| 247 | 0.264413 | 0.528826 | 0.735587 |
| 248 | 0.593398 | 0.813204 | 0.406602 |
| 249 | 0.496559 | 0.993118 | 0.503441 |
| 250 | 0.397628 | 0.795256 | 0.602372 |
| 251 | 0.564739 | 0.870522 | 0.435261 |
| 252 | 0.917529 | 0.164941 | 0.0824707 |
| 253 | 0.851269 | 0.297462 | 0.148731 |
| 254 | 0.79499 | 0.410019 | 0.20501 |
| 255 | 0.696229 | 0.607543 | 0.303771 |
| Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity | |||
| Description | # significant tests | % significant tests | OK/NOK |
| 1% type I error level | 4 | 0.0161943 | NOK |
| 5% type I error level | 14 | 0.0566802 | NOK |
| 10% type I error level | 26 | 0.105263 | NOK |
