| Multiple Linear Regression - Estimated Regression Equation |
| Month[t] = + 11.5272 -0.0272Connected[t] + 0.00587323Separate[t] -0.0608208Learning[t] -0.0405238Software[t] -0.0409822Happiness[t] + 0.0304204Depression[t] + 0.0316725Sport1[t] -0.0338941Sport2[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) | 11.5272 | 0.741299 | 15.55 | 8.37724e-39 | 4.18862e-39 |
| Connected | -0.0272 | 0.0133941 | -2.031 | 0.0433179 | 0.021659 |
| Separate | 0.00587323 | 0.0137141 | 0.4283 | 0.668823 | 0.334411 |
| Learning | -0.0608208 | 0.0239791 | -2.536 | 0.0117969 | 0.00589846 |
| Software | -0.0405238 | 0.0246536 | -1.644 | 0.101465 | 0.0507325 |
| Happiness | -0.0409822 | 0.0223638 | -1.833 | 0.068039 | 0.0340195 |
| Depression | 0.0304204 | 0.016355 | 1.86 | 0.0640364 | 0.0320182 |
| Sport1 | 0.0316725 | 0.014524 | 2.181 | 0.0301196 | 0.0150598 |
| Sport2 | -0.0338941 | 0.0216607 | -1.565 | 0.118876 | 0.0594379 |
| Multiple Linear Regression - Regression Statistics | |
| Multiple R | 0.431614 |
| R-squared | 0.186291 |
| Adjusted R-squared | 0.160763 |
| F-TEST (value) | 7.29746 |
| F-TEST (DF numerator) | 8 |
| F-TEST (DF denominator) | 255 |
| p-value | 9.97714e-09 |
| Multiple Linear Regression - Residual Statistics | |
| Residual Standard Deviation | 0.723004 |
| Sum Squared Residuals | 133.297 |
| Multiple Linear Regression - Actuals, Interpolation, and Residuals | |||
| Time or Index | Actuals | Interpolation Forecast | Residuals Prediction Error |
| 1 | 9 | 9.74358 | -0.743583 |
| 2 | 9 | 9.73264 | -0.732641 |
| 3 | 9 | 9.79526 | -0.795256 |
| 4 | 9 | 10.328 | -1.32805 |
| 5 | 9 | 10.2725 | -1.27253 |
| 6 | 9 | 10.0544 | -1.05444 |
| 7 | 9 | 9.52668 | -0.526679 |
| 8 | 9 | 9.96808 | -0.968084 |
| 9 | 9 | 9.92382 | -0.923818 |
| 10 | 9 | 10.0618 | -1.06181 |
| 11 | 9 | 9.74615 | -0.746152 |
| 12 | 9 | 9.34481 | -0.344813 |
| 13 | 9 | 9.98476 | -0.984764 |
| 14 | 9 | 9.6327 | -0.632699 |
| 15 | 9 | 9.73077 | -0.730773 |
| 16 | 9 | 9.921 | -0.921002 |
| 17 | 9 | 10.1208 | -1.12076 |
| 18 | 9 | 9.60894 | -0.608936 |
| 19 | 9 | 9.51691 | -0.516912 |
| 20 | 9 | 9.71025 | -0.710251 |
| 21 | 9 | 9.68379 | -0.683794 |
| 22 | 9 | 10.0442 | -1.04415 |
| 23 | 9 | 9.39031 | -0.390313 |
| 24 | 9 | 9.78467 | -0.78467 |
| 25 | 9 | 9.7334 | -0.733402 |
| 26 | 9 | 9.88493 | -0.884931 |
| 27 | 9 | 10.0038 | -1.0038 |
| 28 | 9 | 9.94391 | -0.943912 |
| 29 | 9 | 10.1204 | -1.1204 |
| 30 | 9 | 10.1149 | -1.1149 |
| 31 | 9 | 9.95856 | -0.95856 |
| 32 | 9 | 10.4421 | -1.44208 |
| 33 | 9 | 9.84498 | -0.844979 |
| 34 | 9 | 9.91042 | -0.910421 |
| 35 | 9 | 10.1828 | -1.18278 |
| 36 | 9 | 10.3038 | -1.30383 |
| 37 | 9 | 10.9284 | -1.92843 |
| 38 | 9 | 9.94568 | -0.945683 |
| 39 | 9 | 9.99762 | -0.997617 |
| 40 | 9 | 9.92396 | -0.923962 |
| 41 | 9 | 9.80798 | -0.807984 |
| 42 | 9 | 10.1127 | -1.11274 |
| 43 | 9 | 9.03676 | -0.0367589 |
| 44 | 9 | 10.0427 | -1.04267 |
| 45 | 9 | 9.88309 | -0.883093 |
| 46 | 9 | 10.3137 | -1.31371 |
| 47 | 9 | 9.6047 | -0.604703 |
| 48 | 9 | 10.0074 | -1.00745 |
| 49 | 9 | 10.0321 | -1.03214 |
| 50 | 9 | 9.99586 | -0.995855 |
| 51 | 9 | 9.77712 | -0.777115 |
| 52 | 9 | 10.1947 | -1.19473 |
| 53 | 9 | 10.4726 | -1.47256 |
| 54 | 9 | 9.66434 | -0.664337 |
| 55 | 9 | 10.7128 | -1.71279 |
| 56 | 9 | 10.2722 | -1.27221 |
| 57 | 9 | 9.76498 | -0.764982 |
| 58 | 9 | 9.83626 | -0.836258 |
| 59 | 9 | 10.0413 | -1.04126 |
| 60 | 9 | 10.1207 | -1.1207 |
| 61 | 9 | 10.7367 | -1.73675 |
| 62 | 9 | 9.97973 | -0.979726 |
| 63 | 9 | 10.0887 | -1.08865 |
| 64 | 9 | 10.0407 | -1.04073 |
| 65 | 9 | 9.69762 | -0.697625 |
| 66 | 10 | 10.0296 | -0.0295678 |
| 67 | 10 | 9.82466 | 0.175339 |
| 68 | 10 | 10.125 | -0.124964 |
| 69 | 10 | 9.97335 | 0.0266514 |
| 70 | 10 | 9.90612 | 0.0938757 |
| 71 | 10 | 10.2251 | -0.2251 |
| 72 | 10 | 10.0024 | -0.00236136 |
| 73 | 10 | 9.88867 | 0.111334 |
| 74 | 10 | 9.59143 | 0.408565 |
| 75 | 10 | 10.0692 | -0.0692293 |
| 76 | 10 | 10.2031 | -0.203149 |
| 77 | 10 | 9.69659 | 0.303406 |
| 78 | 10 | 10.044 | -0.0440461 |
| 79 | 10 | 10.2972 | -0.297236 |
| 80 | 10 | 9.55281 | 0.447185 |
| 81 | 10 | 10.0445 | -0.0445381 |
| 82 | 10 | 9.71568 | 0.284315 |
| 83 | 10 | 9.88002 | 0.119975 |
| 84 | 10 | 10.0378 | -0.0378376 |
| 85 | 10 | 10.1008 | -0.100803 |
| 86 | 10 | 10.1374 | -0.137416 |
| 87 | 10 | 9.92305 | 0.0769539 |
| 88 | 10 | 9.9823 | 0.0176968 |
| 89 | 10 | 10.5669 | -0.566852 |
| 90 | 10 | 10.2526 | -0.252634 |
| 91 | 10 | 9.60951 | 0.390489 |
| 92 | 10 | 10.017 | -0.0170001 |
| 93 | 10 | 10.2755 | -0.275466 |
| 94 | 10 | 10.4259 | -0.425935 |
| 95 | 10 | 9.91918 | 0.0808183 |
| 96 | 10 | 9.94935 | 0.0506526 |
| 97 | 10 | 10.0917 | -0.091653 |
| 98 | 10 | 9.83758 | 0.162416 |
| 99 | 10 | 10.149 | -0.14899 |
| 100 | 10 | 9.65398 | 0.346018 |
| 101 | 10 | 10.0893 | -0.0892965 |
| 102 | 10 | 9.58006 | 0.419935 |
| 103 | 10 | 10.0139 | -0.0138602 |
| 104 | 10 | 10.2209 | -0.220889 |
| 105 | 10 | 10.3234 | -0.323438 |
| 106 | 10 | 9.67195 | 0.32805 |
| 107 | 10 | 9.84496 | 0.155038 |
| 108 | 10 | 9.97299 | 0.0270068 |
| 109 | 10 | 10.3512 | -0.35117 |
| 110 | 10 | 10.1923 | -0.192323 |
| 111 | 10 | 10.1953 | -0.195307 |
| 112 | 10 | 10.1428 | -0.142777 |
| 113 | 10 | 10.3275 | -0.327492 |
| 114 | 10 | 10.0269 | -0.0268847 |
| 115 | 10 | 9.66313 | 0.336875 |
| 116 | 10 | 9.9302 | 0.0697957 |
| 117 | 10 | 10.1141 | -0.114109 |
| 118 | 10 | 10.0606 | -0.0606444 |
| 119 | 10 | 10.1146 | -0.114552 |
| 120 | 10 | 10.1668 | -0.166838 |
| 121 | 10 | 10.0428 | -0.0427813 |
| 122 | 10 | 10.1542 | -0.154192 |
| 123 | 10 | 9.64626 | 0.353736 |
| 124 | 10 | 9.79773 | 0.202272 |
| 125 | 10 | 10.0078 | -0.00781739 |
| 126 | 10 | 9.86984 | 0.130162 |
| 127 | 10 | 9.5397 | 0.460298 |
| 128 | 10 | 9.88909 | 0.110913 |
| 129 | 10 | 10.1632 | -0.163247 |
| 130 | 10 | 10.0993 | -0.0993271 |
| 131 | 10 | 10.8738 | -0.873794 |
| 132 | 10 | 9.92834 | 0.071659 |
| 133 | 10 | 10.3379 | -0.337938 |
| 134 | 10 | 9.94118 | 0.0588158 |
| 135 | 10 | 10.0945 | -0.0945013 |
| 136 | 10 | 10.5801 | -0.580132 |
| 137 | 10 | 9.87387 | 0.12613 |
| 138 | 10 | 10.4025 | -0.402471 |
| 139 | 10 | 10.112 | -0.112048 |
| 140 | 10 | 10.4839 | -0.483871 |
| 141 | 10 | 9.84048 | 0.159522 |
| 142 | 10 | 10.3536 | -0.353574 |
| 143 | 10 | 9.99372 | 0.00627626 |
| 144 | 10 | 10.0302 | -0.0301854 |
| 145 | 10 | 10.3225 | -0.322487 |
| 146 | 10 | 9.71724 | 0.28276 |
| 147 | 10 | 10.0395 | -0.0395463 |
| 148 | 10 | 10.0386 | -0.0386287 |
| 149 | 10 | 10.5699 | -0.569901 |
| 150 | 10 | 10.4359 | -0.435916 |
| 151 | 10 | 10.0565 | -0.0565009 |
| 152 | 10 | 9.96492 | 0.0350763 |
| 153 | 10 | 10.2503 | -0.250348 |
| 154 | 9 | 10.4547 | -1.45474 |
| 155 | 10 | 10.636 | -0.635956 |
| 156 | 10 | 9.60951 | 0.390489 |
| 157 | 10 | 10.4204 | -0.420418 |
| 158 | 10 | 9.88909 | 0.110913 |
| 159 | 10 | 10.0444 | -0.0443843 |
| 160 | 10 | 10.8475 | -0.847538 |
| 161 | 10 | 10.2792 | -0.279237 |
| 162 | 11 | 10.7028 | 0.297167 |
| 163 | 11 | 10.6073 | 0.392721 |
| 164 | 11 | 9.94129 | 1.05871 |
| 165 | 11 | 10.4747 | 0.525345 |
| 166 | 11 | 10.9589 | 0.0410954 |
| 167 | 11 | 10.2426 | 0.757374 |
| 168 | 11 | 10.5981 | 0.401929 |
| 169 | 11 | 10.569 | 0.431017 |
| 170 | 11 | 10.6519 | 0.348117 |
| 171 | 11 | 10.5176 | 0.482376 |
| 172 | 11 | 9.80433 | 1.19567 |
| 173 | 11 | 10.3561 | 0.643857 |
| 174 | 11 | 10.721 | 0.27903 |
| 175 | 11 | 10.0252 | 0.974825 |
| 176 | 11 | 10.2244 | 0.775551 |
| 177 | 11 | 10.4748 | 0.525223 |
| 178 | 11 | 10.6444 | 0.355611 |
| 179 | 11 | 9.99026 | 1.00974 |
| 180 | 11 | 10.5117 | 0.48833 |
| 181 | 11 | 9.65273 | 1.34727 |
| 182 | 11 | 10.3127 | 0.68733 |
| 183 | 11 | 9.57764 | 1.42236 |
| 184 | 11 | 9.92031 | 1.07969 |
| 185 | 11 | 10.754 | 0.245986 |
| 186 | 11 | 10.3698 | 0.630163 |
| 187 | 11 | 10.0065 | 0.993542 |
| 188 | 11 | 10.3783 | 0.621691 |
| 189 | 11 | 10.564 | 0.436005 |
| 190 | 11 | 10.7948 | 0.205204 |
| 191 | 11 | 10.3059 | 0.694127 |
| 192 | 11 | 9.88369 | 1.11631 |
| 193 | 11 | 10.6026 | 0.397351 |
| 194 | 11 | 9.9836 | 1.0164 |
| 195 | 11 | 10.2491 | 0.750903 |
| 196 | 11 | 9.94441 | 1.05559 |
| 197 | 11 | 10.3261 | 0.6739 |
| 198 | 11 | 10.2292 | 0.770804 |
| 199 | 11 | 10.567 | 0.433015 |
| 200 | 11 | 10.3587 | 0.641306 |
| 201 | 11 | 10.2704 | 0.729622 |
| 202 | 11 | 10.3738 | 0.626151 |
| 203 | 11 | 10.3406 | 0.65943 |
| 204 | 11 | 9.99138 | 1.00862 |
| 205 | 11 | 10.1357 | 0.864317 |
| 206 | 11 | 10.0551 | 0.944945 |
| 207 | 11 | 9.99293 | 1.00707 |
| 208 | 11 | 9.72409 | 1.27591 |
| 209 | 11 | 10.2864 | 0.713568 |
| 210 | 11 | 10.1538 | 0.846189 |
| 211 | 11 | 10.3997 | 0.600305 |
| 212 | 11 | 9.99733 | 1.00267 |
| 213 | 11 | 10.5498 | 0.450199 |
| 214 | 11 | 10.4896 | 0.510369 |
| 215 | 11 | 10.154 | 0.845989 |
| 216 | 11 | 10.1055 | 0.894481 |
| 217 | 11 | 9.92307 | 1.07693 |
| 218 | 11 | 10.067 | 0.932991 |
| 219 | 11 | 10.692 | 0.308041 |
| 220 | 11 | 10.0243 | 0.975708 |
| 221 | 11 | 10.2543 | 0.745687 |
| 222 | 11 | 9.94396 | 1.05604 |
| 223 | 11 | 10.3154 | 0.68462 |
| 224 | 11 | 10.2255 | 0.77446 |
| 225 | 11 | 10.7592 | 0.240808 |
| 226 | 11 | 10.6984 | 0.301628 |
| 227 | 11 | 9.76302 | 1.23698 |
| 228 | 11 | 10.3293 | 0.670658 |
| 229 | 11 | 10.8011 | 0.198851 |
| 230 | 11 | 10.4177 | 0.582281 |
| 231 | 11 | 10.3274 | 0.672591 |
| 232 | 11 | 10.588 | 0.412029 |
| 233 | 11 | 9.91611 | 1.08389 |
| 234 | 11 | 9.64941 | 1.35059 |
| 235 | 11 | 10.0016 | 0.998387 |
| 236 | 11 | 10.3905 | 0.609456 |
| 237 | 11 | 10.9484 | 0.0516334 |
| 238 | 11 | 9.75747 | 1.24253 |
| 239 | 11 | 10.2089 | 0.791142 |
| 240 | 11 | 10.5085 | 0.491527 |
| 241 | 11 | 10.7299 | 0.270057 |
| 242 | 11 | 10.3816 | 0.618444 |
| 243 | 11 | 10.846 | 0.154046 |
| 244 | 11 | 10.4648 | 0.535205 |
| 245 | 11 | 9.99726 | 1.00274 |
| 246 | 11 | 10.8094 | 0.190592 |
| 247 | 11 | 10.266 | 0.733991 |
| 248 | 11 | 10.2996 | 0.700368 |
| 249 | 11 | 10.8318 | 0.168212 |
| 250 | 11 | 10.6357 | 0.364308 |
| 251 | 11 | 10.5357 | 0.4643 |
| 252 | 11 | 10.7875 | 0.212491 |
| 253 | 11 | 10.334 | 0.666009 |
| 254 | 11 | 10.0976 | 0.902391 |
| 255 | 11 | 10.2673 | 0.732691 |
| 256 | 11 | 10.1281 | 0.871875 |
| 257 | 11 | 10.5211 | 0.478899 |
| 258 | 11 | 10.483 | 0.517049 |
| 259 | 11 | 10.0581 | 0.94194 |
| 260 | 11 | 11.0864 | -0.0864378 |
| 261 | 11 | 10.1413 | 0.858688 |
| 262 | 11 | 10.1847 | 0.815317 |
| 263 | 11 | 10.7222 | 0.27783 |
| 264 | 11 | 10.3244 | 0.675564 |
| Goldfeld-Quandt test for Heteroskedasticity | |||
| p-values | Alternative Hypothesis | ||
| breakpoint index | greater | 2-sided | less |
| 12 | 5.5018e-46 | 1.10036e-45 | 1 |
| 13 | 8.39802e-61 | 1.6796e-60 | 1 |
| 14 | 5.12774e-73 | 1.02555e-72 | 1 |
| 15 | 1.96503e-87 | 3.93005e-87 | 1 |
| 16 | 0 | 0 | 1 |
| 17 | 4.22911e-117 | 8.45823e-117 | 1 |
| 18 | 5.55375e-133 | 1.11075e-132 | 1 |
| 19 | 2.02686e-148 | 4.05372e-148 | 1 |
| 20 | 2.29765e-170 | 4.5953e-170 | 1 |
| 21 | 3.16024e-180 | 6.32048e-180 | 1 |
| 22 | 4.9844e-193 | 9.96881e-193 | 1 |
| 23 | 7.32207e-205 | 1.46441e-204 | 1 |
| 24 | 3.98502e-227 | 7.97005e-227 | 1 |
| 25 | 5.84942e-241 | 1.16988e-240 | 1 |
| 26 | 6.77694e-259 | 1.35539e-258 | 1 |
| 27 | 1.66572e-269 | 3.33144e-269 | 1 |
| 28 | 6.79586e-283 | 1.35917e-282 | 1 |
| 29 | 7.84603e-308 | 1.56921e-307 | 1 |
| 30 | 1.42307e-304 | 2.84613e-304 | 1 |
| 31 | 0 | 0 | 1 |
| 32 | 0 | 0 | 1 |
| 33 | 0 | 0 | 1 |
| 34 | 0 | 0 | 1 |
| 35 | 0 | 0 | 1 |
| 36 | 0 | 0 | 1 |
| 37 | 0 | 0 | 1 |
| 38 | 0 | 0 | 1 |
| 39 | 0 | 0 | 1 |
| 40 | 0 | 0 | 1 |
| 41 | 0 | 0 | 1 |
| 42 | 0 | 0 | 1 |
| 43 | 0 | 0 | 1 |
| 44 | 0 | 0 | 1 |
| 45 | 0 | 0 | 1 |
| 46 | 0 | 0 | 1 |
| 47 | 0 | 0 | 1 |
| 48 | 0 | 0 | 1 |
| 49 | 0 | 0 | 1 |
| 50 | 0 | 0 | 1 |
| 51 | 0 | 0 | 1 |
| 52 | 0 | 0 | 1 |
| 53 | 0 | 0 | 1 |
| 54 | 0 | 0 | 1 |
| 55 | 0 | 0 | 1 |
| 56 | 0 | 0 | 1 |
| 57 | 0 | 0 | 1 |
| 58 | 0 | 0 | 1 |
| 59 | 0 | 0 | 1 |
| 60 | 0 | 0 | 1 |
| 61 | 0 | 0 | 1 |
| 62 | 0 | 0 | 1 |
| 63 | 0 | 0 | 1 |
| 64 | 0 | 0 | 1 |
| 65 | 0 | 0 | 1 |
| 66 | 1.65709e-22 | 3.31419e-22 | 1 |
| 67 | 8.78939e-16 | 1.75788e-15 | 1 |
| 68 | 7.05244e-13 | 1.41049e-12 | 1 |
| 69 | 3.08186e-09 | 6.16372e-09 | 1 |
| 70 | 1.38878e-07 | 2.77756e-07 | 1 |
| 71 | 5.86432e-06 | 1.17286e-05 | 0.999994 |
| 72 | 4.08778e-05 | 8.17555e-05 | 0.999959 |
| 73 | 0.000109074 | 0.000218148 | 0.999891 |
| 74 | 0.000183845 | 0.00036769 | 0.999816 |
| 75 | 0.00116578 | 0.00233156 | 0.998834 |
| 76 | 0.00271614 | 0.00543228 | 0.997284 |
| 77 | 0.00540064 | 0.0108013 | 0.994599 |
| 78 | 0.010577 | 0.021154 | 0.989423 |
| 79 | 0.0208009 | 0.0416019 | 0.979199 |
| 80 | 0.0452387 | 0.0904774 | 0.954761 |
| 81 | 0.0596229 | 0.119246 | 0.940377 |
| 82 | 0.0843966 | 0.168793 | 0.915603 |
| 83 | 0.10856 | 0.217121 | 0.89144 |
| 84 | 0.138621 | 0.277241 | 0.861379 |
| 85 | 0.169535 | 0.339071 | 0.830465 |
| 86 | 0.197744 | 0.395489 | 0.802256 |
| 87 | 0.226621 | 0.453243 | 0.773379 |
| 88 | 0.259272 | 0.518543 | 0.740728 |
| 89 | 0.271982 | 0.543965 | 0.728018 |
| 90 | 0.315824 | 0.631649 | 0.684176 |
| 91 | 0.339858 | 0.679717 | 0.660142 |
| 92 | 0.34207 | 0.68414 | 0.65793 |
| 93 | 0.359893 | 0.719786 | 0.640107 |
| 94 | 0.384309 | 0.768617 | 0.615691 |
| 95 | 0.407572 | 0.815144 | 0.592428 |
| 96 | 0.418658 | 0.837315 | 0.581342 |
| 97 | 0.449858 | 0.899716 | 0.550142 |
| 98 | 0.460678 | 0.921356 | 0.539322 |
| 99 | 0.48616 | 0.97232 | 0.51384 |
| 100 | 0.492216 | 0.984432 | 0.507784 |
| 101 | 0.501669 | 0.996662 | 0.498331 |
| 102 | 0.4813 | 0.962599 | 0.5187 |
| 103 | 0.535721 | 0.928558 | 0.464279 |
| 104 | 0.524563 | 0.950874 | 0.475437 |
| 105 | 0.545971 | 0.908058 | 0.454029 |
| 106 | 0.556353 | 0.887294 | 0.443647 |
| 107 | 0.550846 | 0.898309 | 0.449154 |
| 108 | 0.575978 | 0.848045 | 0.424022 |
| 109 | 0.591339 | 0.817322 | 0.408661 |
| 110 | 0.58834 | 0.82332 | 0.41166 |
| 111 | 0.591958 | 0.816083 | 0.408042 |
| 112 | 0.58186 | 0.836281 | 0.41814 |
| 113 | 0.622129 | 0.755743 | 0.377871 |
| 114 | 0.654399 | 0.691202 | 0.345601 |
| 115 | 0.658771 | 0.682458 | 0.341229 |
| 116 | 0.672025 | 0.65595 | 0.327975 |
| 117 | 0.689935 | 0.620129 | 0.310065 |
| 118 | 0.720762 | 0.558476 | 0.279238 |
| 119 | 0.713309 | 0.573382 | 0.286691 |
| 120 | 0.739881 | 0.520238 | 0.260119 |
| 121 | 0.758212 | 0.483577 | 0.241788 |
| 122 | 0.759189 | 0.481623 | 0.240811 |
| 123 | 0.766913 | 0.466173 | 0.233087 |
| 124 | 0.788315 | 0.42337 | 0.211685 |
| 125 | 0.801221 | 0.397558 | 0.198779 |
| 126 | 0.815574 | 0.368852 | 0.184426 |
| 127 | 0.821386 | 0.357228 | 0.178614 |
| 128 | 0.830123 | 0.339754 | 0.169877 |
| 129 | 0.851566 | 0.296869 | 0.148434 |
| 130 | 0.870538 | 0.258924 | 0.129462 |
| 131 | 0.897637 | 0.204725 | 0.102363 |
| 132 | 0.905692 | 0.188616 | 0.094308 |
| 133 | 0.926012 | 0.147976 | 0.0739881 |
| 134 | 0.934698 | 0.130604 | 0.0653019 |
| 135 | 0.942954 | 0.114092 | 0.0570459 |
| 136 | 0.962083 | 0.0758349 | 0.0379175 |
| 137 | 0.968834 | 0.0623328 | 0.0311664 |
| 138 | 0.979446 | 0.0411079 | 0.020554 |
| 139 | 0.985904 | 0.0281922 | 0.0140961 |
| 140 | 0.991346 | 0.0173074 | 0.00865369 |
| 141 | 0.994777 | 0.0104467 | 0.00522334 |
| 142 | 0.995791 | 0.00841726 | 0.00420863 |
| 143 | 0.997111 | 0.00577753 | 0.00288877 |
| 144 | 0.998363 | 0.00327393 | 0.00163697 |
| 145 | 0.998985 | 0.00203073 | 0.00101537 |
| 146 | 0.99952 | 0.00096076 | 0.00048038 |
| 147 | 0.999808 | 0.000384038 | 0.000192019 |
| 148 | 0.999934 | 0.000132634 | 6.6317e-05 |
| 149 | 0.999972 | 5.56171e-05 | 2.78086e-05 |
| 150 | 0.999985 | 2.91208e-05 | 1.45604e-05 |
| 151 | 0.999996 | 8.64728e-06 | 4.32364e-06 |
| 152 | 0.999999 | 2.55669e-06 | 1.27835e-06 |
| 153 | 0.999999 | 1.01153e-06 | 5.05766e-07 |
| 154 | 1 | 2.0053e-12 | 1.00265e-12 |
| 155 | 1 | 3.18197e-14 | 1.59098e-14 |
| 156 | 1 | 1.41109e-17 | 7.05544e-18 |
| 157 | 1 | 4.12246e-20 | 2.06123e-20 |
| 158 | 1 | 1.04192e-23 | 5.20959e-24 |
| 159 | 1 | 5.18589e-31 | 2.59294e-31 |
| 160 | 1 | 9.10266e-43 | 4.55133e-43 |
| 161 | 1 | 0 | 0 |
| 162 | 1 | 0 | 0 |
| 163 | 1 | 0 | 0 |
| 164 | 1 | 0 | 0 |
| 165 | 1 | 0 | 0 |
| 166 | 1 | 0 | 0 |
| 167 | 1 | 0 | 0 |
| 168 | 1 | 0 | 0 |
| 169 | 1 | 0 | 0 |
| 170 | 1 | 0 | 0 |
| 171 | 1 | 0 | 0 |
| 172 | 1 | 0 | 0 |
| 173 | 1 | 0 | 0 |
| 174 | 1 | 0 | 0 |
| 175 | 1 | 0 | 0 |
| 176 | 1 | 0 | 0 |
| 177 | 1 | 0 | 0 |
| 178 | 1 | 0 | 0 |
| 179 | 1 | 0 | 0 |
| 180 | 1 | 0 | 0 |
| 181 | 1 | 0 | 0 |
| 182 | 1 | 0 | 0 |
| 183 | 1 | 0 | 0 |
| 184 | 1 | 0 | 0 |
| 185 | 1 | 0 | 0 |
| 186 | 1 | 0 | 0 |
| 187 | 1 | 0 | 0 |
| 188 | 1 | 0 | 0 |
| 189 | 1 | 0 | 0 |
| 190 | 1 | 0 | 0 |
| 191 | 1 | 0 | 0 |
| 192 | 1 | 0 | 0 |
| 193 | 1 | 0 | 0 |
| 194 | 1 | 0 | 0 |
| 195 | 1 | 0 | 0 |
| 196 | 1 | 0 | 0 |
| 197 | 1 | 0 | 0 |
| 198 | 1 | 0 | 0 |
| 199 | 1 | 0 | 0 |
| 200 | 1 | 0 | 0 |
| 201 | 1 | 0 | 0 |
| 202 | 1 | 0 | 0 |
| 203 | 1 | 0 | 0 |
| 204 | 1 | 0 | 0 |
| 205 | 1 | 0 | 0 |
| 206 | 1 | 0 | 0 |
| 207 | 1 | 0 | 0 |
| 208 | 1 | 0 | 0 |
| 209 | 1 | 0 | 0 |
| 210 | 1 | 0 | 0 |
| 211 | 1 | 0 | 0 |
| 212 | 1 | 0 | 0 |
| 213 | 1 | 0 | 0 |
| 214 | 1 | 0 | 0 |
| 215 | 1 | 0 | 0 |
| 216 | 1 | 0 | 0 |
| 217 | 1 | 0 | 0 |
| 218 | 1 | 0 | 0 |
| 219 | 1 | 0 | 0 |
| 220 | 1 | 0 | 0 |
| 221 | 1 | 0 | 0 |
| 222 | 1 | 0 | 0 |
| 223 | 1 | 0 | 0 |
| 224 | 1 | 0 | 0 |
| 225 | 1 | 0 | 0 |
| 226 | 1 | 0 | 0 |
| 227 | 1 | 0 | 0 |
| 228 | 1 | 0 | 0 |
| 229 | 1 | 0 | 0 |
| 230 | 1 | 0 | 0 |
| 231 | 1 | 0 | 0 |
| 232 | 1 | 0 | 0 |
| 233 | 1 | 0 | 0 |
| 234 | 1 | 2.61599e-304 | 1.308e-304 |
| 235 | 1 | 9.06037e-301 | 4.53018e-301 |
| 236 | 1 | 1.20078e-276 | 6.0039e-277 |
| 237 | 1 | 5.30545e-268 | 2.65273e-268 |
| 238 | 1 | 5.08001e-250 | 2.54001e-250 |
| 239 | 1 | 2.69365e-230 | 1.34683e-230 |
| 240 | 1 | 1.02432e-233 | 5.1216e-234 |
| 241 | 1 | 4.11734e-210 | 2.05867e-210 |
| 242 | 1 | 1.14513e-189 | 5.72563e-190 |
| 243 | 1 | 9.69585e-185 | 4.84792e-185 |
| 244 | 1 | 6.14194e-170 | 3.07097e-170 |
| 245 | 1 | 1.06952e-148 | 5.34758e-149 |
| 246 | 1 | 9.39642e-145 | 4.69821e-145 |
| 247 | 1 | 1.34583e-118 | 6.72913e-119 |
| 248 | 1 | 0 | 0 |
| 249 | 1 | 2.35675e-89 | 1.17837e-89 |
| 250 | 1 | 1.08844e-72 | 5.44219e-73 |
| 251 | 1 | 6.66525e-64 | 3.33263e-64 |
| 252 | 1 | 1.03777e-44 | 5.18883e-45 |
| Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity | |||
| Description | # significant tests | % significant tests | OK/NOK |
| 1% type I error level | 176 | 0.73029 | NOK |
| 5% type I error level | 183 | 0.759336 | NOK |
| 10% type I error level | 186 | 0.771784 | NOK |
