| Multiple Linear Regression - Estimated Regression Equation |
| Happiness[t] = + 18.3933 + 0.0014584Connected[t] + 0.0101912Separate[t] + 0.0991405Learning[t] -0.0212946Software[t] -0.369643Depression[t] + 0.0159983Sport1[t] + 0.0127107Sport2[t] -0.32003Month[t] + 0.0743511M1[t] -0.070315M2[t] -0.240352M3[t] -0.0105674M4[t] + 0.125367M5[t] + 0.829632M6[t] + 0.141309M7[t] + 0.485995M8[t] + 0.0202259M9[t] -0.0119043M10[t] + 0.328975M11[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) | 18.3933 | 2.73341 | 6.729 | 1.20815e-10 | 6.04074e-11 |
| Connected | 0.0014584 | 0.0394299 | 0.03699 | 0.970526 | 0.485263 |
| Separate | 0.0101912 | 0.0393049 | 0.2593 | 0.795633 | 0.397816 |
| Learning | 0.0991405 | 0.0689262 | 1.438 | 0.151614 | 0.075807 |
| Software | -0.0212946 | 0.0708961 | -0.3004 | 0.764156 | 0.382078 |
| Depression | -0.369643 | 0.0414528 | -8.917 | 1.15197e-16 | 5.75983e-17 |
| Sport1 | 0.0159983 | 0.0418557 | 0.3822 | 0.702627 | 0.351313 |
| Sport2 | 0.0127107 | 0.0622026 | 0.2043 | 0.838255 | 0.419127 |
| Month | -0.32003 | 0.176714 | -1.811 | 0.0713706 | 0.0356853 |
| M1 | 0.0743511 | 0.626069 | 0.1188 | 0.905564 | 0.452782 |
| M2 | -0.070315 | 0.624406 | -0.1126 | 0.910432 | 0.455216 |
| M3 | -0.240352 | 0.622767 | -0.3859 | 0.699876 | 0.349938 |
| M4 | -0.0105674 | 0.620183 | -0.01704 | 0.986419 | 0.49321 |
| M5 | 0.125367 | 0.626455 | 0.2001 | 0.841552 | 0.420776 |
| M6 | 0.829632 | 0.629042 | 1.319 | 0.188445 | 0.0942226 |
| M7 | 0.141309 | 0.622185 | 0.2271 | 0.820523 | 0.410261 |
| M8 | 0.485995 | 0.618034 | 0.7864 | 0.432422 | 0.216211 |
| M9 | 0.0202259 | 0.618161 | 0.03272 | 0.973925 | 0.486963 |
| M10 | -0.0119043 | 0.62297 | -0.01911 | 0.98477 | 0.492385 |
| M11 | 0.328975 | 0.618478 | 0.5319 | 0.595272 | 0.297636 |
| Multiple Linear Regression - Regression Statistics | |
| Multiple R | 0.619428 |
| R-squared | 0.383692 |
| Adjusted R-squared | 0.3357 |
| F-TEST (value) | 7.99503 |
| F-TEST (DF numerator) | 19 |
| F-TEST (DF denominator) | 244 |
| p-value | 0 |
| Multiple Linear Regression - Residual Statistics | |
| Residual Standard Deviation | 2.03651 |
| Sum Squared Residuals | 1011.96 |
| Multiple Linear Regression - Actuals, Interpolation, and Residuals | |||
| Time or Index | Actuals | Interpolation Forecast | Residuals Prediction Error |
| 1 | 14 | 13.8867 | 0.113345 |
| 2 | 18 | 15.0877 | 2.91226 |
| 3 | 11 | 13.6521 | -2.65209 |
| 4 | 12 | 14.4006 | -2.40062 |
| 5 | 16 | 11.2142 | 4.78576 |
| 6 | 18 | 15.1747 | 2.82533 |
| 7 | 14 | 10.8413 | 3.15868 |
| 8 | 14 | 15.4411 | -1.44108 |
| 9 | 15 | 15.1343 | -0.134295 |
| 10 | 15 | 14.2457 | 0.75429 |
| 11 | 17 | 15.7769 | 1.2231 |
| 12 | 19 | 15.5689 | 3.43105 |
| 13 | 10 | 13.3913 | -3.39128 |
| 14 | 16 | 13.3472 | 2.65279 |
| 15 | 18 | 15.4329 | 2.56707 |
| 16 | 14 | 13.3275 | 0.672516 |
| 17 | 14 | 13.888 | 0.111982 |
| 18 | 17 | 16.5408 | 0.459236 |
| 19 | 14 | 15.4974 | -1.49736 |
| 20 | 16 | 14.2666 | 1.73336 |
| 21 | 18 | 15.3336 | 2.66635 |
| 22 | 11 | 13.6651 | -2.66512 |
| 23 | 14 | 14.7406 | -0.740619 |
| 24 | 12 | 13.5076 | -1.50764 |
| 25 | 17 | 15.371 | 1.62905 |
| 26 | 9 | 15.7877 | -6.78765 |
| 27 | 16 | 14.7515 | 1.24848 |
| 28 | 14 | 13.2351 | 0.764858 |
| 29 | 15 | 13.9984 | 1.00162 |
| 30 | 11 | 14.7294 | -3.72936 |
| 31 | 16 | 15.8229 | 0.177063 |
| 32 | 13 | 13.1226 | -0.122551 |
| 33 | 17 | 15.0642 | 1.93584 |
| 34 | 15 | 15.2226 | -0.222648 |
| 35 | 14 | 14.2421 | -0.242109 |
| 36 | 16 | 15.4763 | 0.523656 |
| 37 | 9 | 10.8307 | -1.83067 |
| 38 | 15 | 14.2107 | 0.789331 |
| 39 | 17 | 15.1083 | 1.89168 |
| 40 | 13 | 15.2044 | -2.20441 |
| 41 | 15 | 15.8208 | -0.820834 |
| 42 | 16 | 14.4451 | 1.55488 |
| 43 | 16 | 16.0255 | -0.0254713 |
| 44 | 12 | 13.6123 | -1.61233 |
| 45 | 15 | 14.6207 | 0.379305 |
| 46 | 11 | 13.5377 | -2.53773 |
| 47 | 15 | 15.6657 | -0.665668 |
| 48 | 15 | 14.879 | 0.120997 |
| 49 | 17 | 13.5522 | 3.44778 |
| 50 | 13 | 14.6625 | -1.66245 |
| 51 | 16 | 15.0094 | 0.990559 |
| 52 | 14 | 13.4352 | 0.564814 |
| 53 | 11 | 11.7801 | -0.780127 |
| 54 | 12 | 14.4905 | -2.4905 |
| 55 | 12 | 14.2123 | -2.21231 |
| 56 | 15 | 14.1233 | 0.876686 |
| 57 | 16 | 14.2178 | 1.78217 |
| 58 | 15 | 15.4996 | -0.499568 |
| 59 | 12 | 15.5337 | -3.53371 |
| 60 | 12 | 13.4057 | -1.40566 |
| 61 | 8 | 10.8189 | -2.81889 |
| 62 | 13 | 14.5435 | -1.54347 |
| 63 | 11 | 14.4213 | -3.42133 |
| 64 | 14 | 13.109 | 0.890982 |
| 65 | 15 | 13.8126 | 1.18739 |
| 66 | 10 | 15.6959 | -5.69591 |
| 67 | 11 | 12.5357 | -1.5357 |
| 68 | 12 | 14.8015 | -2.80148 |
| 69 | 15 | 13.2974 | 1.70257 |
| 70 | 15 | 13.4026 | 1.59736 |
| 71 | 14 | 13.5911 | 0.40889 |
| 72 | 16 | 12.5179 | 3.4821 |
| 73 | 15 | 14.3014 | 0.698598 |
| 74 | 15 | 14.9982 | 0.00178424 |
| 75 | 13 | 14.5214 | -1.52141 |
| 76 | 12 | 11.9182 | 0.0817596 |
| 77 | 17 | 13.9199 | 3.08011 |
| 78 | 13 | 13.1194 | -0.11936 |
| 79 | 15 | 13.7483 | 1.25174 |
| 80 | 13 | 15.2954 | -2.29539 |
| 81 | 15 | 14.7414 | 0.258579 |
| 82 | 15 | 15.321 | -0.320988 |
| 83 | 16 | 14.4225 | 1.57748 |
| 84 | 15 | 14.1145 | 0.885544 |
| 85 | 14 | 14.0286 | -0.0286072 |
| 86 | 15 | 13.7384 | 1.26164 |
| 87 | 14 | 13.88 | 0.120009 |
| 88 | 13 | 12.6203 | 0.379741 |
| 89 | 7 | 10.4687 | -3.46866 |
| 90 | 17 | 14.38 | 2.62004 |
| 91 | 13 | 12.8176 | 0.182399 |
| 92 | 15 | 14.4898 | 0.51022 |
| 93 | 14 | 13.1541 | 0.845864 |
| 94 | 13 | 13.8191 | -0.819133 |
| 95 | 16 | 15.1302 | 0.869781 |
| 96 | 12 | 12.6492 | -0.649212 |
| 97 | 14 | 14.7954 | -0.795392 |
| 98 | 17 | 14.6937 | 2.30625 |
| 99 | 15 | 14.6453 | 0.354659 |
| 100 | 17 | 14.9843 | 2.01573 |
| 101 | 12 | 12.9066 | -0.906583 |
| 102 | 16 | 15.7007 | 0.299317 |
| 103 | 11 | 14.4428 | -3.44285 |
| 104 | 15 | 13.4236 | 1.57645 |
| 105 | 9 | 11.2168 | -2.21676 |
| 106 | 16 | 14.7702 | 1.22975 |
| 107 | 15 | 13.0781 | 1.92192 |
| 108 | 10 | 12.6929 | -2.6929 |
| 109 | 10 | 9.04451 | 0.955488 |
| 110 | 15 | 13.6894 | 1.31055 |
| 111 | 11 | 12.8208 | -1.82078 |
| 112 | 13 | 15.1389 | -2.13894 |
| 113 | 14 | 11.959 | 2.04098 |
| 114 | 18 | 14.7774 | 3.22262 |
| 115 | 16 | 15.5752 | 0.424834 |
| 116 | 14 | 13.3543 | 0.645747 |
| 117 | 14 | 13.7139 | 0.286146 |
| 118 | 14 | 14.9514 | -0.951433 |
| 119 | 14 | 13.8693 | 0.130733 |
| 120 | 12 | 12.4115 | -0.41149 |
| 121 | 14 | 13.5227 | 0.477311 |
| 122 | 15 | 14.653 | 0.347007 |
| 123 | 15 | 15.5381 | -0.538115 |
| 124 | 15 | 14.4349 | 0.565089 |
| 125 | 13 | 14.7619 | -1.7619 |
| 126 | 17 | 16.8616 | 0.138431 |
| 127 | 17 | 15.2938 | 1.70621 |
| 128 | 19 | 15.2929 | 3.70709 |
| 129 | 15 | 13.4618 | 1.5382 |
| 130 | 13 | 14.541 | -1.54102 |
| 131 | 9 | 10.8175 | -1.81753 |
| 132 | 15 | 15.1644 | -0.16442 |
| 133 | 15 | 12.5716 | 2.42843 |
| 134 | 15 | 14.0292 | 0.970819 |
| 135 | 16 | 13.3849 | 2.61506 |
| 136 | 11 | 9.32621 | 1.67379 |
| 137 | 14 | 13.3442 | 0.655761 |
| 138 | 11 | 12.6952 | -1.69516 |
| 139 | 15 | 14.2174 | 0.782584 |
| 140 | 13 | 14.1691 | -1.16908 |
| 141 | 15 | 14.6092 | 0.390796 |
| 142 | 16 | 13.7145 | 2.28553 |
| 143 | 14 | 14.9022 | -0.90218 |
| 144 | 15 | 14.2054 | 0.794553 |
| 145 | 16 | 14.5195 | 1.48049 |
| 146 | 16 | 14.3298 | 1.67024 |
| 147 | 11 | 13.0429 | -2.04286 |
| 148 | 12 | 14.5942 | -2.59422 |
| 149 | 9 | 11.522 | -2.52204 |
| 150 | 16 | 14.9156 | 1.08436 |
| 151 | 13 | 12.5602 | 0.439762 |
| 152 | 16 | 15.8407 | 0.159339 |
| 153 | 12 | 14.3956 | -2.39563 |
| 154 | 9 | 11.7479 | -2.74787 |
| 155 | 13 | 11.9496 | 1.0504 |
| 156 | 13 | 12.6763 | 0.323708 |
| 157 | 14 | 13.3276 | 0.672419 |
| 158 | 19 | 14.7366 | 4.2634 |
| 159 | 13 | 15.3457 | -2.34566 |
| 160 | 12 | 11.9615 | 0.0384992 |
| 161 | 13 | 12.6276 | 0.372421 |
| 162 | 10 | 9.81383 | 0.186169 |
| 163 | 14 | 13.062 | 0.937961 |
| 164 | 16 | 11.6925 | 4.30752 |
| 165 | 10 | 11.6592 | -1.65925 |
| 166 | 11 | 8.80441 | 2.19559 |
| 167 | 14 | 14.158 | -0.157985 |
| 168 | 12 | 12.5688 | -0.568808 |
| 169 | 9 | 12.4506 | -3.45056 |
| 170 | 9 | 11.5852 | -2.58525 |
| 171 | 11 | 10.0049 | 0.995086 |
| 172 | 16 | 13.8981 | 2.10189 |
| 173 | 9 | 13.8011 | -4.80111 |
| 174 | 13 | 11.8477 | 1.15229 |
| 175 | 16 | 13.1921 | 2.80794 |
| 176 | 13 | 15.4955 | -2.49553 |
| 177 | 9 | 12.0229 | -3.02294 |
| 178 | 12 | 11.18 | 0.819979 |
| 179 | 16 | 14.6347 | 1.36531 |
| 180 | 11 | 12.8462 | -1.84621 |
| 181 | 14 | 13.9147 | 0.0853056 |
| 182 | 13 | 14.3884 | -1.38844 |
| 183 | 15 | 14.222 | 0.777972 |
| 184 | 14 | 14.669 | -0.669047 |
| 185 | 16 | 13.9102 | 2.08978 |
| 186 | 13 | 12.1988 | 0.801223 |
| 187 | 14 | 13.4198 | 0.580151 |
| 188 | 15 | 14.3895 | 0.610527 |
| 189 | 13 | 12.2311 | 0.768919 |
| 190 | 11 | 9.96779 | 1.03221 |
| 191 | 11 | 12.6903 | -1.69031 |
| 192 | 14 | 14.7295 | -0.729451 |
| 193 | 15 | 12.5492 | 2.45082 |
| 194 | 11 | 12.1815 | -1.18151 |
| 195 | 15 | 12.6174 | 2.38258 |
| 196 | 12 | 13.7786 | -1.77862 |
| 197 | 14 | 11.6092 | 2.3908 |
| 198 | 14 | 13.9794 | 0.0206226 |
| 199 | 8 | 11.034 | -3.03399 |
| 200 | 13 | 14.0395 | -1.03948 |
| 201 | 9 | 11.9526 | -2.95261 |
| 202 | 15 | 13.5534 | 1.44659 |
| 203 | 17 | 14.134 | 2.86601 |
| 204 | 13 | 12.3166 | 0.683408 |
| 205 | 15 | 14.2911 | 0.708948 |
| 206 | 15 | 13.4225 | 1.57753 |
| 207 | 14 | 14.036 | -0.0359593 |
| 208 | 16 | 12.2923 | 3.70767 |
| 209 | 13 | 12.7689 | 0.231115 |
| 210 | 16 | 14.9063 | 1.09368 |
| 211 | 9 | 11.5827 | -2.5827 |
| 212 | 16 | 14.7528 | 1.24724 |
| 213 | 11 | 12.0148 | -1.01483 |
| 214 | 10 | 13.629 | -3.629 |
| 215 | 11 | 12.2368 | -1.23676 |
| 216 | 15 | 13.0993 | 1.90074 |
| 217 | 17 | 14.758 | 2.24199 |
| 218 | 14 | 13.9341 | 0.065859 |
| 219 | 8 | 9.4616 | -1.4616 |
| 220 | 15 | 13.3417 | 1.65826 |
| 221 | 11 | 13.7838 | -2.78382 |
| 222 | 16 | 14.1861 | 1.81387 |
| 223 | 10 | 12.0473 | -2.0473 |
| 224 | 15 | 15.1127 | -0.112677 |
| 225 | 9 | 9.39207 | -0.392074 |
| 226 | 16 | 14.0761 | 1.92391 |
| 227 | 19 | 13.9656 | 5.03443 |
| 228 | 12 | 13.4682 | -1.46824 |
| 229 | 8 | 9.32004 | -1.32004 |
| 230 | 11 | 13.068 | -2.06804 |
| 231 | 14 | 13.3957 | 0.604291 |
| 232 | 9 | 11.7931 | -2.79311 |
| 233 | 15 | 14.9087 | 0.091326 |
| 234 | 13 | 13.0377 | -0.0377353 |
| 235 | 16 | 14.8502 | 1.14979 |
| 236 | 11 | 13.0964 | -2.09642 |
| 237 | 12 | 11.0891 | 0.910852 |
| 238 | 13 | 12.636 | 0.363983 |
| 239 | 10 | 14.5232 | -4.52323 |
| 240 | 11 | 13.3504 | -2.35043 |
| 241 | 12 | 14.7172 | -2.71722 |
| 242 | 8 | 10.4227 | -2.42268 |
| 243 | 12 | 11.3448 | 0.655198 |
| 244 | 12 | 12.0608 | -0.0608291 |
| 245 | 15 | 13.4529 | 1.5471 |
| 246 | 11 | 11.3658 | -0.365774 |
| 247 | 13 | 12.7037 | 0.296259 |
| 248 | 14 | 9.10807 | 4.89193 |
| 249 | 10 | 10.1149 | -0.114865 |
| 250 | 12 | 11.4085 | 0.591521 |
| 251 | 15 | 13.0139 | 1.98615 |
| 252 | 13 | 11.6509 | 1.34912 |
| 253 | 13 | 14.0373 | -1.03731 |
| 254 | 13 | 13.49 | -0.489984 |
| 255 | 12 | 11.3628 | 0.637161 |
| 256 | 12 | 12.4758 | -0.475812 |
| 257 | 9 | 10.7411 | -1.74108 |
| 258 | 9 | 12.1383 | -3.13828 |
| 259 | 15 | 12.5177 | 2.48231 |
| 260 | 10 | 15.0801 | -5.08008 |
| 261 | 14 | 13.5623 | 0.437656 |
| 262 | 15 | 13.3062 | 1.69378 |
| 263 | 7 | 9.9241 | -2.9241 |
| 264 | 14 | 13.7004 | 0.299594 |
| Goldfeld-Quandt test for Heteroskedasticity | |||
| p-values | Alternative Hypothesis | ||
| breakpoint index | greater | 2-sided | less |
| 23 | 0.982985 | 0.0340293 | 0.0170147 |
| 24 | 0.976637 | 0.0467256 | 0.0233628 |
| 25 | 0.956644 | 0.0867118 | 0.0433559 |
| 26 | 0.999971 | 5.85258e-05 | 2.92629e-05 |
| 27 | 0.999933 | 0.000133936 | 6.69682e-05 |
| 28 | 0.999879 | 0.000241935 | 0.000120967 |
| 29 | 0.999747 | 0.00050574 | 0.00025287 |
| 30 | 0.999888 | 0.000223112 | 0.000111556 |
| 31 | 0.999808 | 0.000383126 | 0.000191563 |
| 32 | 0.999685 | 0.000630601 | 0.000315301 |
| 33 | 0.999446 | 0.00110758 | 0.000553792 |
| 34 | 0.999181 | 0.0016378 | 0.000818899 |
| 35 | 0.999068 | 0.00186402 | 0.000932011 |
| 36 | 0.998421 | 0.00315728 | 0.00157864 |
| 37 | 0.998001 | 0.00399768 | 0.00199884 |
| 38 | 0.997111 | 0.00577872 | 0.00288936 |
| 39 | 0.996723 | 0.00655324 | 0.00327662 |
| 40 | 0.99586 | 0.00828058 | 0.00414029 |
| 41 | 0.994078 | 0.0118449 | 0.00592247 |
| 42 | 0.991688 | 0.0166245 | 0.00831224 |
| 43 | 0.987876 | 0.0242471 | 0.0121236 |
| 44 | 0.986233 | 0.0275338 | 0.0137669 |
| 45 | 0.982438 | 0.0351238 | 0.0175619 |
| 46 | 0.981884 | 0.0362329 | 0.0181165 |
| 47 | 0.97495 | 0.0501002 | 0.0250501 |
| 48 | 0.968222 | 0.0635563 | 0.0317782 |
| 49 | 0.975573 | 0.0488537 | 0.0244268 |
| 50 | 0.969985 | 0.060031 | 0.0300155 |
| 51 | 0.961169 | 0.0776612 | 0.0388306 |
| 52 | 0.951356 | 0.0972877 | 0.0486438 |
| 53 | 0.945507 | 0.108986 | 0.0544931 |
| 54 | 0.9369 | 0.1262 | 0.0630998 |
| 55 | 0.935235 | 0.12953 | 0.0647649 |
| 56 | 0.918681 | 0.162638 | 0.0813189 |
| 57 | 0.904776 | 0.190448 | 0.0952239 |
| 58 | 0.890775 | 0.21845 | 0.109225 |
| 59 | 0.920587 | 0.158827 | 0.0794134 |
| 60 | 0.931951 | 0.136099 | 0.0680494 |
| 61 | 0.934726 | 0.130548 | 0.0652742 |
| 62 | 0.927901 | 0.144197 | 0.0720985 |
| 63 | 0.957901 | 0.0841988 | 0.0420994 |
| 64 | 0.94996 | 0.100081 | 0.0500405 |
| 65 | 0.940076 | 0.119847 | 0.0599237 |
| 66 | 0.953628 | 0.0927433 | 0.0463716 |
| 67 | 0.953786 | 0.0924289 | 0.0462145 |
| 68 | 0.949157 | 0.101686 | 0.050843 |
| 69 | 0.957377 | 0.0852465 | 0.0426232 |
| 70 | 0.970495 | 0.0590103 | 0.0295052 |
| 71 | 0.971415 | 0.0571701 | 0.028585 |
| 72 | 0.980518 | 0.0389648 | 0.0194824 |
| 73 | 0.976257 | 0.0474852 | 0.0237426 |
| 74 | 0.969708 | 0.060584 | 0.030292 |
| 75 | 0.963572 | 0.0728551 | 0.0364276 |
| 76 | 0.95425 | 0.0914998 | 0.0457499 |
| 77 | 0.960446 | 0.0791089 | 0.0395545 |
| 78 | 0.95298 | 0.0940403 | 0.0470202 |
| 79 | 0.947854 | 0.104292 | 0.0521459 |
| 80 | 0.946117 | 0.107767 | 0.0538834 |
| 81 | 0.938725 | 0.122549 | 0.0612746 |
| 82 | 0.926511 | 0.146977 | 0.0734887 |
| 83 | 0.922382 | 0.155236 | 0.0776179 |
| 84 | 0.908098 | 0.183803 | 0.0919017 |
| 85 | 0.891625 | 0.21675 | 0.108375 |
| 86 | 0.876602 | 0.246797 | 0.123398 |
| 87 | 0.85463 | 0.290739 | 0.14537 |
| 88 | 0.831534 | 0.336932 | 0.168466 |
| 89 | 0.90278 | 0.19444 | 0.0972201 |
| 90 | 0.916586 | 0.166829 | 0.0834145 |
| 91 | 0.900615 | 0.198769 | 0.0993846 |
| 92 | 0.882098 | 0.235804 | 0.117902 |
| 93 | 0.863888 | 0.272225 | 0.136112 |
| 94 | 0.843732 | 0.312535 | 0.156268 |
| 95 | 0.82105 | 0.3579 | 0.17895 |
| 96 | 0.801708 | 0.396585 | 0.198292 |
| 97 | 0.778017 | 0.443966 | 0.221983 |
| 98 | 0.784338 | 0.431325 | 0.215662 |
| 99 | 0.754787 | 0.490425 | 0.245213 |
| 100 | 0.748857 | 0.502287 | 0.251143 |
| 101 | 0.731232 | 0.537537 | 0.268768 |
| 102 | 0.698767 | 0.602465 | 0.301233 |
| 103 | 0.749537 | 0.500926 | 0.250463 |
| 104 | 0.727504 | 0.544992 | 0.272496 |
| 105 | 0.74708 | 0.50584 | 0.25292 |
| 106 | 0.731109 | 0.537782 | 0.268891 |
| 107 | 0.718341 | 0.563319 | 0.281659 |
| 108 | 0.749113 | 0.501774 | 0.250887 |
| 109 | 0.720843 | 0.558314 | 0.279157 |
| 110 | 0.698155 | 0.60369 | 0.301845 |
| 111 | 0.688065 | 0.62387 | 0.311935 |
| 112 | 0.716598 | 0.566803 | 0.283402 |
| 113 | 0.709082 | 0.581836 | 0.290918 |
| 114 | 0.756775 | 0.486449 | 0.243225 |
| 115 | 0.728425 | 0.54315 | 0.271575 |
| 116 | 0.69722 | 0.605559 | 0.30278 |
| 117 | 0.670435 | 0.65913 | 0.329565 |
| 118 | 0.642806 | 0.714387 | 0.357194 |
| 119 | 0.607125 | 0.785749 | 0.392875 |
| 120 | 0.573945 | 0.852109 | 0.426055 |
| 121 | 0.548762 | 0.902477 | 0.451238 |
| 122 | 0.515581 | 0.968837 | 0.484419 |
| 123 | 0.480226 | 0.960452 | 0.519774 |
| 124 | 0.448117 | 0.896235 | 0.551883 |
| 125 | 0.43881 | 0.877621 | 0.56119 |
| 126 | 0.402341 | 0.804682 | 0.597659 |
| 127 | 0.379526 | 0.759053 | 0.620474 |
| 128 | 0.455282 | 0.910563 | 0.544718 |
| 129 | 0.442194 | 0.884387 | 0.557806 |
| 130 | 0.428602 | 0.857203 | 0.571398 |
| 131 | 0.414032 | 0.828065 | 0.585968 |
| 132 | 0.38285 | 0.7657 | 0.61715 |
| 133 | 0.402033 | 0.804067 | 0.597967 |
| 134 | 0.376533 | 0.753066 | 0.623467 |
| 135 | 0.405389 | 0.810779 | 0.594611 |
| 136 | 0.398527 | 0.797054 | 0.601473 |
| 137 | 0.366828 | 0.733656 | 0.633172 |
| 138 | 0.355746 | 0.711492 | 0.644254 |
| 139 | 0.323576 | 0.647152 | 0.676424 |
| 140 | 0.303279 | 0.606557 | 0.696721 |
| 141 | 0.274647 | 0.549293 | 0.725353 |
| 142 | 0.279366 | 0.558732 | 0.720634 |
| 143 | 0.252584 | 0.505168 | 0.747416 |
| 144 | 0.229559 | 0.459119 | 0.770441 |
| 145 | 0.218154 | 0.436308 | 0.781846 |
| 146 | 0.216173 | 0.432345 | 0.783827 |
| 147 | 0.213208 | 0.426416 | 0.786792 |
| 148 | 0.231301 | 0.462602 | 0.768699 |
| 149 | 0.247281 | 0.494562 | 0.752719 |
| 150 | 0.227088 | 0.454175 | 0.772912 |
| 151 | 0.203338 | 0.406677 | 0.796662 |
| 152 | 0.177863 | 0.355726 | 0.822137 |
| 153 | 0.189852 | 0.379705 | 0.810148 |
| 154 | 0.223666 | 0.447333 | 0.776334 |
| 155 | 0.199795 | 0.399589 | 0.800205 |
| 156 | 0.176631 | 0.353262 | 0.823369 |
| 157 | 0.152925 | 0.30585 | 0.847075 |
| 158 | 0.244137 | 0.488274 | 0.755863 |
| 159 | 0.258946 | 0.517892 | 0.741054 |
| 160 | 0.230067 | 0.460134 | 0.769933 |
| 161 | 0.201544 | 0.403088 | 0.798456 |
| 162 | 0.17661 | 0.35322 | 0.82339 |
| 163 | 0.155868 | 0.311735 | 0.844132 |
| 164 | 0.244517 | 0.489033 | 0.755483 |
| 165 | 0.236812 | 0.473624 | 0.763188 |
| 166 | 0.232577 | 0.465153 | 0.767423 |
| 167 | 0.204072 | 0.408144 | 0.795928 |
| 168 | 0.181029 | 0.362058 | 0.818971 |
| 169 | 0.226768 | 0.453537 | 0.773232 |
| 170 | 0.23064 | 0.46128 | 0.76936 |
| 171 | 0.204675 | 0.409351 | 0.795325 |
| 172 | 0.201036 | 0.402072 | 0.798964 |
| 173 | 0.343233 | 0.686466 | 0.656767 |
| 174 | 0.31263 | 0.62526 | 0.68737 |
| 175 | 0.336668 | 0.673336 | 0.663332 |
| 176 | 0.347032 | 0.694064 | 0.652968 |
| 177 | 0.377553 | 0.755105 | 0.622447 |
| 178 | 0.344069 | 0.688139 | 0.655931 |
| 179 | 0.319706 | 0.639412 | 0.680294 |
| 180 | 0.305793 | 0.611586 | 0.694207 |
| 181 | 0.273515 | 0.547031 | 0.726485 |
| 182 | 0.248749 | 0.497498 | 0.751251 |
| 183 | 0.219008 | 0.438015 | 0.780992 |
| 184 | 0.191982 | 0.383965 | 0.808018 |
| 185 | 0.202278 | 0.404557 | 0.797722 |
| 186 | 0.182489 | 0.364978 | 0.817511 |
| 187 | 0.159257 | 0.318514 | 0.840743 |
| 188 | 0.138663 | 0.277326 | 0.861337 |
| 189 | 0.118628 | 0.237257 | 0.881372 |
| 190 | 0.101562 | 0.203123 | 0.898438 |
| 191 | 0.10503 | 0.21006 | 0.89497 |
| 192 | 0.0906967 | 0.181393 | 0.909303 |
| 193 | 0.101365 | 0.20273 | 0.898635 |
| 194 | 0.0867982 | 0.173596 | 0.913202 |
| 195 | 0.0849144 | 0.169829 | 0.915086 |
| 196 | 0.0867549 | 0.17351 | 0.913245 |
| 197 | 0.116987 | 0.233974 | 0.883013 |
| 198 | 0.0978777 | 0.195755 | 0.902122 |
| 199 | 0.105596 | 0.211193 | 0.894404 |
| 200 | 0.0876949 | 0.17539 | 0.912305 |
| 201 | 0.104337 | 0.208674 | 0.895663 |
| 202 | 0.0934978 | 0.186996 | 0.906502 |
| 203 | 0.125404 | 0.250807 | 0.874596 |
| 204 | 0.106316 | 0.212632 | 0.893684 |
| 205 | 0.0869032 | 0.173806 | 0.913097 |
| 206 | 0.0898689 | 0.179738 | 0.910131 |
| 207 | 0.0726042 | 0.145208 | 0.927396 |
| 208 | 0.0842029 | 0.168406 | 0.915797 |
| 209 | 0.0682312 | 0.136462 | 0.931769 |
| 210 | 0.0665968 | 0.133194 | 0.933403 |
| 211 | 0.0775406 | 0.155081 | 0.922459 |
| 212 | 0.0636363 | 0.127273 | 0.936364 |
| 213 | 0.0503801 | 0.10076 | 0.94962 |
| 214 | 0.0935838 | 0.187168 | 0.906416 |
| 215 | 0.0790794 | 0.158159 | 0.920921 |
| 216 | 0.0745778 | 0.149156 | 0.925422 |
| 217 | 0.0832873 | 0.166575 | 0.916713 |
| 218 | 0.0780813 | 0.156163 | 0.921919 |
| 219 | 0.0749788 | 0.149958 | 0.925021 |
| 220 | 0.0791467 | 0.158293 | 0.920853 |
| 221 | 0.0722189 | 0.144438 | 0.927781 |
| 222 | 0.0799178 | 0.159836 | 0.920082 |
| 223 | 0.0861409 | 0.172282 | 0.913859 |
| 224 | 0.0656289 | 0.131258 | 0.934371 |
| 225 | 0.0494893 | 0.0989785 | 0.950511 |
| 226 | 0.0457476 | 0.0914952 | 0.954252 |
| 227 | 0.229471 | 0.458942 | 0.770529 |
| 228 | 0.195345 | 0.39069 | 0.804655 |
| 229 | 0.160296 | 0.320592 | 0.839704 |
| 230 | 0.12429 | 0.24858 | 0.87571 |
| 231 | 0.0899304 | 0.179861 | 0.91007 |
| 232 | 0.0835088 | 0.167018 | 0.916491 |
| 233 | 0.0566984 | 0.113397 | 0.943302 |
| 234 | 0.0509956 | 0.101991 | 0.949004 |
| 235 | 0.0375442 | 0.0750884 | 0.962456 |
| 236 | 0.0242003 | 0.0484006 | 0.9758 |
| 237 | 0.0196144 | 0.0392288 | 0.980386 |
| 238 | 0.0110648 | 0.0221296 | 0.988935 |
| 239 | 0.0186482 | 0.0372965 | 0.981352 |
| 240 | 0.0112449 | 0.0224897 | 0.988755 |
| 241 | 0.00513678 | 0.0102736 | 0.994863 |
| Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity | |||
| Description | # significant tests | % significant tests | OK/NOK |
| 1% type I error level | 15 | 0.0684932 | NOK |
| 5% type I error level | 32 | 0.146119 | NOK |
| 10% type I error level | 52 | 0.237443 | NOK |
