| Multiple Linear Regression - Estimated Regression Equation |
| Learning[t] = + 4.09668 + 0.0464479Connected[t] + 0.0421777Separate[t] + 0.608685Software[t] + 0.10009Happiness[t] -0.043456Depression[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) | 4.09668 | 1.73594 | 2.36 | 0.0190238 | 0.0095119 |
| Connected | 0.0464479 | 0.0344893 | 1.347 | 0.179247 | 0.0896236 |
| Separate | 0.0421777 | 0.0355095 | 1.188 | 0.23601 | 0.118005 |
| Software | 0.608685 | 0.0515853 | 11.8 | 5.53114e-26 | 2.76557e-26 |
| Happiness | 0.10009 | 0.0573642 | 1.745 | 0.0822085 | 0.0411042 |
| Depression | -0.043456 | 0.0413089 | -1.052 | 0.293794 | 0.146897 |
| Multiple Linear Regression - Regression Statistics | |
| Multiple R | 0.653044 |
| R-squared | 0.426466 |
| Adjusted R-squared | 0.415351 |
| F-TEST (value) | 38.3685 |
| F-TEST (DF numerator) | 5 |
| F-TEST (DF denominator) | 258 |
| p-value | 0 |
| Multiple Linear Regression - Residual Statistics | |
| Residual Standard Deviation | 1.87789 |
| Sum Squared Residuals | 909.833 |
| Multiple Linear Regression - Actuals, Interpolation, and Residuals | |||
| Time or Index | Actuals | Interpolation Forecast | Residuals Prediction Error |
| 1 | 13 | 15.7878 | -2.78781 |
| 2 | 16 | 15.277 | 0.723024 |
| 3 | 19 | 16.5892 | 2.41078 |
| 4 | 15 | 11.2601 | 3.73985 |
| 5 | 14 | 15.8383 | -1.83826 |
| 6 | 13 | 14.3125 | -1.31251 |
| 7 | 19 | 14.9651 | 4.03489 |
| 8 | 15 | 16.6391 | -1.63914 |
| 9 | 14 | 15.616 | -1.61604 |
| 10 | 15 | 13.8326 | 1.16741 |
| 11 | 16 | 14.523 | 1.47697 |
| 12 | 16 | 16.0611 | -0.0611305 |
| 13 | 16 | 14.9912 | 1.00879 |
| 14 | 16 | 15.1995 | 0.800505 |
| 15 | 17 | 17.6874 | -0.687375 |
| 16 | 15 | 15.072 | -0.071977 |
| 17 | 15 | 13.9982 | 1.00178 |
| 18 | 20 | 15.9922 | 4.00781 |
| 19 | 18 | 15.1731 | 2.82686 |
| 20 | 16 | 15.2734 | 0.726565 |
| 21 | 16 | 15.0592 | 0.940798 |
| 22 | 16 | 14.6409 | 1.3591 |
| 23 | 19 | 16.3036 | 2.6964 |
| 24 | 16 | 14.7484 | 1.25158 |
| 25 | 17 | 15.7856 | 1.21443 |
| 26 | 17 | 15.7733 | 1.22665 |
| 27 | 16 | 14.4553 | 1.5447 |
| 28 | 15 | 16.4611 | -1.46105 |
| 29 | 16 | 15.2185 | 0.781485 |
| 30 | 14 | 13.6907 | 0.309311 |
| 31 | 15 | 15.3586 | -0.358633 |
| 32 | 12 | 12.2193 | -0.219272 |
| 33 | 14 | 14.4766 | -0.476583 |
| 34 | 16 | 15.564 | 0.435959 |
| 35 | 14 | 15.0818 | -1.0818 |
| 36 | 10 | 12.4895 | -2.48947 |
| 37 | 10 | 12.261 | -2.26104 |
| 38 | 14 | 15.4448 | -1.44477 |
| 39 | 16 | 14.105 | 1.895 |
| 40 | 16 | 14.0677 | 1.93232 |
| 41 | 16 | 14.362 | 1.63796 |
| 42 | 14 | 15.3651 | -1.36505 |
| 43 | 20 | 17.5955 | 2.40454 |
| 44 | 14 | 13.7938 | 0.206229 |
| 45 | 14 | 14.1529 | -0.152863 |
| 46 | 11 | 15.1318 | -4.13176 |
| 47 | 14 | 16.5298 | -2.52979 |
| 48 | 15 | 14.7824 | 0.217625 |
| 49 | 16 | 15.1168 | 0.883216 |
| 50 | 14 | 15.3388 | -1.33877 |
| 51 | 16 | 16.8742 | -0.87424 |
| 52 | 14 | 13.7281 | 0.271927 |
| 53 | 12 | 14.5979 | -2.59788 |
| 54 | 16 | 15.7843 | 0.215732 |
| 55 | 9 | 10.6992 | -1.69919 |
| 56 | 14 | 11.8148 | 2.18518 |
| 57 | 16 | 15.6829 | 0.317075 |
| 58 | 16 | 15.2922 | 0.707819 |
| 59 | 15 | 14.7957 | 0.204291 |
| 60 | 16 | 13.7925 | 2.20751 |
| 61 | 12 | 10.8635 | 1.13651 |
| 62 | 16 | 15.3797 | 0.620335 |
| 63 | 16 | 16.2532 | -0.253242 |
| 64 | 14 | 14.5012 | -0.501199 |
| 65 | 16 | 15.2241 | 0.775937 |
| 66 | 17 | 15.7187 | 1.28127 |
| 67 | 18 | 16.1289 | 1.87114 |
| 68 | 18 | 14.0041 | 3.99594 |
| 69 | 12 | 15.8359 | -3.8359 |
| 70 | 16 | 15.4801 | 0.519879 |
| 71 | 10 | 13.0859 | -3.08591 |
| 72 | 14 | 14.7845 | -0.784455 |
| 73 | 18 | 16.7789 | 1.22114 |
| 74 | 18 | 17.1794 | 0.820629 |
| 75 | 16 | 14.9421 | 1.05791 |
| 76 | 17 | 13.0271 | 3.97294 |
| 77 | 16 | 16.4253 | -0.425338 |
| 78 | 16 | 14.2414 | 1.75863 |
| 79 | 13 | 14.9454 | -1.94538 |
| 80 | 16 | 15.1683 | 0.831659 |
| 81 | 16 | 15.4754 | 0.524584 |
| 82 | 16 | 15.6974 | 0.302599 |
| 83 | 15 | 15.5913 | -0.591308 |
| 84 | 15 | 14.6925 | 0.307529 |
| 85 | 16 | 13.8602 | 2.13985 |
| 86 | 14 | 13.9212 | 0.0787801 |
| 87 | 16 | 15.2475 | 0.752485 |
| 88 | 16 | 14.7469 | 1.25309 |
| 89 | 15 | 14.0701 | 0.929851 |
| 90 | 12 | 13.6697 | -1.66973 |
| 91 | 17 | 16.8981 | 0.101898 |
| 92 | 16 | 15.6923 | 0.307712 |
| 93 | 15 | 14.8176 | 0.182368 |
| 94 | 13 | 14.7712 | -1.77119 |
| 95 | 16 | 14.6368 | 1.36318 |
| 96 | 16 | 15.7102 | 0.289834 |
| 97 | 16 | 13.4313 | 2.56872 |
| 98 | 16 | 15.777 | 0.222969 |
| 99 | 14 | 14.2551 | -0.255053 |
| 100 | 16 | 17.1687 | -1.16866 |
| 101 | 16 | 14.4928 | 1.5072 |
| 102 | 20 | 17.5396 | 2.46037 |
| 103 | 15 | 14.0825 | 0.917498 |
| 104 | 16 | 14.776 | 1.22402 |
| 105 | 13 | 14.6837 | -1.68365 |
| 106 | 17 | 15.7656 | 1.23443 |
| 107 | 16 | 15.7563 | 0.243748 |
| 108 | 16 | 14.2896 | 1.71038 |
| 109 | 12 | 12.0842 | -0.0841574 |
| 110 | 16 | 15.1213 | 0.878652 |
| 111 | 16 | 15.8992 | 0.100825 |
| 112 | 17 | 14.831 | 2.16901 |
| 113 | 13 | 14.4198 | -1.41984 |
| 114 | 12 | 14.6163 | -2.61629 |
| 115 | 18 | 16.2447 | 1.75527 |
| 116 | 14 | 16.0224 | -2.02235 |
| 117 | 14 | 13.0688 | 0.931169 |
| 118 | 13 | 14.8114 | -1.81137 |
| 119 | 16 | 15.4337 | 0.566258 |
| 120 | 13 | 14.4348 | -1.43481 |
| 121 | 16 | 15.3811 | 0.618852 |
| 122 | 13 | 15.8342 | -2.83419 |
| 123 | 16 | 17.0933 | -1.0933 |
| 124 | 15 | 16.0126 | -1.01256 |
| 125 | 16 | 16.8819 | -0.881864 |
| 126 | 15 | 14.6986 | 0.301431 |
| 127 | 17 | 15.7478 | 1.25217 |
| 128 | 15 | 14.0497 | 0.950282 |
| 129 | 12 | 14.7462 | -2.74618 |
| 130 | 16 | 13.8849 | 2.11512 |
| 131 | 10 | 13.4741 | -3.47414 |
| 132 | 16 | 13.4514 | 2.54856 |
| 133 | 12 | 14.1612 | -2.16115 |
| 134 | 14 | 15.7021 | -1.70211 |
| 135 | 15 | 15.1034 | -0.103445 |
| 136 | 13 | 11.9048 | 1.0952 |
| 137 | 15 | 14.6405 | 0.359457 |
| 138 | 11 | 13.4589 | -2.45888 |
| 139 | 12 | 13.0492 | -1.04921 |
| 140 | 11 | 13.2707 | -2.27065 |
| 141 | 16 | 12.9533 | 3.04667 |
| 142 | 15 | 13.5219 | 1.47809 |
| 143 | 17 | 16.9764 | 0.023595 |
| 144 | 16 | 14.1821 | 1.81793 |
| 145 | 10 | 13.255 | -3.25501 |
| 146 | 18 | 15.7147 | 2.28531 |
| 147 | 13 | 15.1275 | -2.12749 |
| 148 | 16 | 14.9178 | 1.08219 |
| 149 | 13 | 12.6254 | 0.374642 |
| 150 | 10 | 12.8474 | -2.84739 |
| 151 | 15 | 16.0834 | -1.08339 |
| 152 | 16 | 13.9672 | 2.03284 |
| 153 | 16 | 11.699 | 4.30099 |
| 154 | 14 | 12.2404 | 1.75963 |
| 155 | 10 | 12.3254 | -2.32541 |
| 156 | 17 | 16.8981 | 0.101898 |
| 157 | 13 | 11.5886 | 1.41143 |
| 158 | 15 | 14.0497 | 0.950282 |
| 159 | 16 | 14.6312 | 1.3688 |
| 160 | 12 | 12.4741 | -0.47412 |
| 161 | 13 | 12.6697 | 0.330338 |
| 162 | 13 | 12.4922 | 0.507796 |
| 163 | 12 | 12.2955 | -0.295543 |
| 164 | 17 | 16.5075 | 0.492521 |
| 165 | 15 | 13.6264 | 1.37361 |
| 166 | 10 | 11.4477 | -1.44775 |
| 167 | 14 | 14.4573 | -0.457308 |
| 168 | 11 | 14.2557 | -3.25569 |
| 169 | 13 | 14.7884 | -1.7884 |
| 170 | 16 | 14.3342 | 1.66582 |
| 171 | 12 | 10.3981 | 1.60194 |
| 172 | 16 | 15.7136 | 0.286429 |
| 173 | 12 | 13.9435 | -1.94346 |
| 174 | 9 | 11.3213 | -2.32133 |
| 175 | 12 | 15.2905 | -3.29052 |
| 176 | 15 | 14.6648 | 0.335163 |
| 177 | 12 | 12.2821 | -0.282115 |
| 178 | 12 | 12.6525 | -0.652488 |
| 179 | 14 | 14.0978 | -0.0978061 |
| 180 | 12 | 13.3931 | -1.39305 |
| 181 | 16 | 15.5147 | 0.48533 |
| 182 | 11 | 11.5499 | -0.549865 |
| 183 | 19 | 17.2086 | 1.79142 |
| 184 | 15 | 15.4823 | -0.482311 |
| 185 | 8 | 14.7272 | -6.72716 |
| 186 | 16 | 14.8811 | 1.11886 |
| 187 | 17 | 14.6913 | 2.30874 |
| 188 | 12 | 12.4563 | -0.456331 |
| 189 | 11 | 11.5318 | -0.53178 |
| 190 | 11 | 10.3333 | 0.666749 |
| 191 | 14 | 14.9417 | -0.941697 |
| 192 | 16 | 15.8197 | 0.180268 |
| 193 | 12 | 9.65044 | 2.34956 |
| 194 | 16 | 14.3842 | 1.61583 |
| 195 | 13 | 13.9125 | -0.912518 |
| 196 | 15 | 15.4018 | -0.401838 |
| 197 | 16 | 13.0372 | 2.96282 |
| 198 | 16 | 15.2437 | 0.75632 |
| 199 | 14 | 12.4746 | 1.52545 |
| 200 | 16 | 14.6945 | 1.30552 |
| 201 | 16 | 14.2217 | 1.77827 |
| 202 | 14 | 13.5435 | 0.456509 |
| 203 | 11 | 13.6851 | -2.6851 |
| 204 | 12 | 15.0226 | -3.02261 |
| 205 | 15 | 12.9563 | 2.04368 |
| 206 | 15 | 14.8263 | 0.173734 |
| 207 | 16 | 14.8583 | 1.14174 |
| 208 | 16 | 15.4946 | 0.505423 |
| 209 | 11 | 13.9403 | -2.94031 |
| 210 | 15 | 14.2346 | 0.765407 |
| 211 | 12 | 14.5341 | -2.53406 |
| 212 | 12 | 16.2845 | -4.28451 |
| 213 | 15 | 14.2423 | 0.757735 |
| 214 | 15 | 12.1453 | 2.85474 |
| 215 | 16 | 14.865 | 1.13496 |
| 216 | 14 | 13.4749 | 0.525062 |
| 217 | 17 | 15.0247 | 1.97527 |
| 218 | 14 | 14.3088 | -0.308831 |
| 219 | 13 | 11.9592 | 1.0408 |
| 220 | 15 | 15.6109 | -0.610924 |
| 221 | 13 | 14.998 | -1.99796 |
| 222 | 14 | 14.5469 | -0.546918 |
| 223 | 15 | 14.5455 | 0.454479 |
| 224 | 12 | 13.4747 | -1.47466 |
| 225 | 13 | 12.6607 | 0.339291 |
| 226 | 8 | 11.9204 | -3.9204 |
| 227 | 14 | 14.3968 | -0.396797 |
| 228 | 14 | 13.2213 | 0.778721 |
| 229 | 11 | 12.3472 | -1.34717 |
| 230 | 12 | 13.1664 | -1.16636 |
| 231 | 13 | 11.4731 | 1.52686 |
| 232 | 10 | 13.5246 | -3.52458 |
| 233 | 16 | 11.7794 | 4.22059 |
| 234 | 18 | 16.4769 | 1.52308 |
| 235 | 13 | 14.3228 | -1.32278 |
| 236 | 11 | 13.6558 | -2.65577 |
| 237 | 4 | 11.195 | -7.19502 |
| 238 | 13 | 14.9481 | -1.94807 |
| 239 | 16 | 14.5783 | 1.42171 |
| 240 | 10 | 11.9209 | -1.9209 |
| 241 | 12 | 12.3365 | -0.336463 |
| 242 | 12 | 13.8692 | -1.86917 |
| 243 | 10 | 8.91004 | 1.08996 |
| 244 | 13 | 11.2721 | 1.72788 |
| 245 | 15 | 14.1026 | 0.89742 |
| 246 | 12 | 12.0212 | -0.0212418 |
| 247 | 14 | 13.1867 | 0.81327 |
| 248 | 10 | 12.9984 | -2.99843 |
| 249 | 12 | 10.8662 | 1.13381 |
| 250 | 12 | 11.8996 | 0.100408 |
| 251 | 11 | 12.1244 | -1.12437 |
| 252 | 10 | 11.8024 | -1.80236 |
| 253 | 12 | 11.6781 | 0.321888 |
| 254 | 16 | 13.1936 | 2.80644 |
| 255 | 12 | 13.7563 | -1.7563 |
| 256 | 14 | 14.3126 | -0.312552 |
| 257 | 16 | 14.5754 | 1.42461 |
| 258 | 14 | 11.8743 | 2.12566 |
| 259 | 13 | 14.7943 | -1.79434 |
| 260 | 4 | 9.467 | -5.467 |
| 261 | 15 | 14.1914 | 0.808569 |
| 262 | 11 | 15.5628 | -4.56276 |
| 263 | 11 | 11.4784 | -0.478391 |
| 264 | 14 | 13.1513 | 0.848689 |
| Goldfeld-Quandt test for Heteroskedasticity | |||
| p-values | Alternative Hypothesis | ||
| breakpoint index | greater | 2-sided | less |
| 9 | 0.577984 | 0.844032 | 0.422016 |
| 10 | 0.671037 | 0.657927 | 0.328963 |
| 11 | 0.602072 | 0.795856 | 0.397928 |
| 12 | 0.69474 | 0.61052 | 0.30526 |
| 13 | 0.617789 | 0.764422 | 0.382211 |
| 14 | 0.609251 | 0.781497 | 0.390749 |
| 15 | 0.578552 | 0.842897 | 0.421448 |
| 16 | 0.528067 | 0.943867 | 0.471933 |
| 17 | 0.447275 | 0.894549 | 0.552725 |
| 18 | 0.823053 | 0.353895 | 0.176947 |
| 19 | 0.833238 | 0.333525 | 0.166762 |
| 20 | 0.782546 | 0.434908 | 0.217454 |
| 21 | 0.731514 | 0.536972 | 0.268486 |
| 22 | 0.669888 | 0.660224 | 0.330112 |
| 23 | 0.691045 | 0.617911 | 0.308955 |
| 24 | 0.631634 | 0.736731 | 0.368366 |
| 25 | 0.57708 | 0.845839 | 0.42292 |
| 26 | 0.516957 | 0.966085 | 0.483043 |
| 27 | 0.458781 | 0.917563 | 0.541219 |
| 28 | 0.441681 | 0.883362 | 0.558319 |
| 29 | 0.381001 | 0.762003 | 0.618999 |
| 30 | 0.359405 | 0.718811 | 0.640595 |
| 31 | 0.307357 | 0.614715 | 0.692643 |
| 32 | 0.289588 | 0.579177 | 0.710412 |
| 33 | 0.265887 | 0.531773 | 0.734113 |
| 34 | 0.219929 | 0.439858 | 0.780071 |
| 35 | 0.20846 | 0.41692 | 0.79154 |
| 36 | 0.297168 | 0.594337 | 0.702832 |
| 37 | 0.384967 | 0.769935 | 0.615033 |
| 38 | 0.383692 | 0.767385 | 0.616308 |
| 39 | 0.412704 | 0.825408 | 0.587296 |
| 40 | 0.387847 | 0.775693 | 0.612153 |
| 41 | 0.351941 | 0.703881 | 0.648059 |
| 42 | 0.334293 | 0.668587 | 0.665707 |
| 43 | 0.344264 | 0.688527 | 0.655736 |
| 44 | 0.302723 | 0.605446 | 0.697277 |
| 45 | 0.272756 | 0.545511 | 0.727244 |
| 46 | 0.537949 | 0.924103 | 0.462051 |
| 47 | 0.601432 | 0.797135 | 0.398568 |
| 48 | 0.554565 | 0.89087 | 0.445435 |
| 49 | 0.512712 | 0.974575 | 0.487288 |
| 50 | 0.506159 | 0.987682 | 0.493841 |
| 51 | 0.464054 | 0.928109 | 0.535946 |
| 52 | 0.418162 | 0.836325 | 0.581838 |
| 53 | 0.451885 | 0.903771 | 0.548115 |
| 54 | 0.408556 | 0.817111 | 0.591444 |
| 55 | 0.418674 | 0.837347 | 0.581326 |
| 56 | 0.404911 | 0.809822 | 0.595089 |
| 57 | 0.363867 | 0.727733 | 0.636133 |
| 58 | 0.335785 | 0.671571 | 0.664215 |
| 59 | 0.296436 | 0.592871 | 0.703564 |
| 60 | 0.302662 | 0.605325 | 0.697338 |
| 61 | 0.275567 | 0.551133 | 0.724433 |
| 62 | 0.241763 | 0.483526 | 0.758237 |
| 63 | 0.20916 | 0.418319 | 0.79084 |
| 64 | 0.181062 | 0.362124 | 0.818938 |
| 65 | 0.15751 | 0.31502 | 0.84249 |
| 66 | 0.145226 | 0.290452 | 0.854774 |
| 67 | 0.142874 | 0.285749 | 0.857126 |
| 68 | 0.241224 | 0.482448 | 0.758776 |
| 69 | 0.362905 | 0.72581 | 0.637095 |
| 70 | 0.328192 | 0.656385 | 0.671808 |
| 71 | 0.409028 | 0.818056 | 0.590972 |
| 72 | 0.372825 | 0.745651 | 0.627175 |
| 73 | 0.358087 | 0.716174 | 0.641913 |
| 74 | 0.331727 | 0.663454 | 0.668273 |
| 75 | 0.301308 | 0.602615 | 0.698692 |
| 76 | 0.383672 | 0.767344 | 0.616328 |
| 77 | 0.348202 | 0.696404 | 0.651798 |
| 78 | 0.330901 | 0.661803 | 0.669099 |
| 79 | 0.337381 | 0.674763 | 0.662619 |
| 80 | 0.309947 | 0.619893 | 0.690053 |
| 81 | 0.280017 | 0.560034 | 0.719983 |
| 82 | 0.249438 | 0.498876 | 0.750562 |
| 83 | 0.227158 | 0.454316 | 0.772842 |
| 84 | 0.199485 | 0.39897 | 0.800515 |
| 85 | 0.200512 | 0.401023 | 0.799488 |
| 86 | 0.174394 | 0.348787 | 0.825606 |
| 87 | 0.153797 | 0.307594 | 0.846203 |
| 88 | 0.139904 | 0.279807 | 0.860096 |
| 89 | 0.121686 | 0.243372 | 0.878314 |
| 90 | 0.115862 | 0.231723 | 0.884138 |
| 91 | 0.100395 | 0.20079 | 0.899605 |
| 92 | 0.0865291 | 0.173058 | 0.913471 |
| 93 | 0.0739286 | 0.147857 | 0.926071 |
| 94 | 0.0755451 | 0.15109 | 0.924455 |
| 95 | 0.0682853 | 0.136571 | 0.931715 |
| 96 | 0.0572398 | 0.11448 | 0.94276 |
| 97 | 0.0637951 | 0.12759 | 0.936205 |
| 98 | 0.0532164 | 0.106433 | 0.946784 |
| 99 | 0.0438368 | 0.0876736 | 0.956163 |
| 100 | 0.0390454 | 0.0780908 | 0.960955 |
| 101 | 0.0351265 | 0.0702529 | 0.964874 |
| 102 | 0.0435364 | 0.0870727 | 0.956464 |
| 103 | 0.037293 | 0.0745861 | 0.962707 |
| 104 | 0.0339619 | 0.0679237 | 0.966038 |
| 105 | 0.0403222 | 0.0806444 | 0.959678 |
| 106 | 0.0360115 | 0.072023 | 0.963989 |
| 107 | 0.0295624 | 0.0591248 | 0.970438 |
| 108 | 0.0279894 | 0.0559787 | 0.972011 |
| 109 | 0.0230414 | 0.0460828 | 0.976959 |
| 110 | 0.0194913 | 0.0389825 | 0.980509 |
| 111 | 0.0156215 | 0.031243 | 0.984379 |
| 112 | 0.0180288 | 0.0360576 | 0.981971 |
| 113 | 0.0169864 | 0.0339727 | 0.983014 |
| 114 | 0.0223566 | 0.0447133 | 0.977643 |
| 115 | 0.0222017 | 0.0444035 | 0.977798 |
| 116 | 0.0226782 | 0.0453563 | 0.977322 |
| 117 | 0.0192055 | 0.0384111 | 0.980794 |
| 118 | 0.0194781 | 0.0389562 | 0.980522 |
| 119 | 0.0159951 | 0.0319903 | 0.984005 |
| 120 | 0.0148089 | 0.0296179 | 0.985191 |
| 121 | 0.0122308 | 0.0244616 | 0.987769 |
| 122 | 0.0166172 | 0.0332344 | 0.983383 |
| 123 | 0.0140821 | 0.0281641 | 0.985918 |
| 124 | 0.012384 | 0.0247679 | 0.987616 |
| 125 | 0.0102192 | 0.0204384 | 0.989781 |
| 126 | 0.00828177 | 0.0165635 | 0.991718 |
| 127 | 0.00745888 | 0.0149178 | 0.992541 |
| 128 | 0.00624879 | 0.0124976 | 0.993751 |
| 129 | 0.00879952 | 0.017599 | 0.9912 |
| 130 | 0.0093683 | 0.0187366 | 0.990632 |
| 131 | 0.0181231 | 0.0362462 | 0.981877 |
| 132 | 0.0218125 | 0.043625 | 0.978188 |
| 133 | 0.0234348 | 0.0468696 | 0.976565 |
| 134 | 0.0223933 | 0.0447865 | 0.977607 |
| 135 | 0.018118 | 0.0362361 | 0.981882 |
| 136 | 0.0154726 | 0.0309453 | 0.984527 |
| 137 | 0.0124464 | 0.0248927 | 0.987554 |
| 138 | 0.0152538 | 0.0305077 | 0.984746 |
| 139 | 0.0134092 | 0.0268184 | 0.986591 |
| 140 | 0.0152687 | 0.0305375 | 0.984731 |
| 141 | 0.0220112 | 0.0440225 | 0.977989 |
| 142 | 0.0206079 | 0.0412157 | 0.979392 |
| 143 | 0.0167243 | 0.0334485 | 0.983276 |
| 144 | 0.0179558 | 0.0359116 | 0.982044 |
| 145 | 0.029823 | 0.059646 | 0.970177 |
| 146 | 0.036611 | 0.073222 | 0.963389 |
| 147 | 0.0384333 | 0.0768666 | 0.961567 |
| 148 | 0.0347713 | 0.0695427 | 0.965229 |
| 149 | 0.0288518 | 0.0577036 | 0.971148 |
| 150 | 0.0386665 | 0.0773331 | 0.961333 |
| 151 | 0.0335459 | 0.0670918 | 0.966454 |
| 152 | 0.0346862 | 0.0693723 | 0.965314 |
| 153 | 0.0701366 | 0.140273 | 0.929863 |
| 154 | 0.0691965 | 0.138393 | 0.930803 |
| 155 | 0.0772524 | 0.154505 | 0.922748 |
| 156 | 0.0665361 | 0.133072 | 0.933464 |
| 157 | 0.0595493 | 0.119099 | 0.940451 |
| 158 | 0.0520842 | 0.104168 | 0.947916 |
| 159 | 0.0510254 | 0.102051 | 0.948975 |
| 160 | 0.0439024 | 0.0878047 | 0.956098 |
| 161 | 0.036172 | 0.0723441 | 0.963828 |
| 162 | 0.0298109 | 0.0596218 | 0.970189 |
| 163 | 0.0251001 | 0.0502002 | 0.9749 |
| 164 | 0.0213201 | 0.0426403 | 0.97868 |
| 165 | 0.0187267 | 0.0374535 | 0.981273 |
| 166 | 0.0192557 | 0.0385114 | 0.980744 |
| 167 | 0.0155216 | 0.0310433 | 0.984478 |
| 168 | 0.0227271 | 0.0454541 | 0.977273 |
| 169 | 0.0225602 | 0.0451205 | 0.97744 |
| 170 | 0.0208083 | 0.0416166 | 0.979192 |
| 171 | 0.0201044 | 0.0402089 | 0.979896 |
| 172 | 0.0163517 | 0.0327034 | 0.983648 |
| 173 | 0.0162707 | 0.0325415 | 0.983729 |
| 174 | 0.0181784 | 0.0363568 | 0.981822 |
| 175 | 0.0239033 | 0.0478067 | 0.976097 |
| 176 | 0.0194746 | 0.0389491 | 0.980525 |
| 177 | 0.0158289 | 0.0316578 | 0.984171 |
| 178 | 0.0129302 | 0.0258604 | 0.98707 |
| 179 | 0.0101707 | 0.0203415 | 0.989829 |
| 180 | 0.00885721 | 0.0177144 | 0.991143 |
| 181 | 0.00722926 | 0.0144585 | 0.992771 |
| 182 | 0.00587518 | 0.0117504 | 0.994125 |
| 183 | 0.00591888 | 0.0118378 | 0.994081 |
| 184 | 0.00477184 | 0.00954369 | 0.995228 |
| 185 | 0.088101 | 0.176202 | 0.911899 |
| 186 | 0.0764693 | 0.152939 | 0.923531 |
| 187 | 0.0919994 | 0.183999 | 0.908001 |
| 188 | 0.0828006 | 0.165601 | 0.917199 |
| 189 | 0.0707775 | 0.141555 | 0.929223 |
| 190 | 0.058718 | 0.117436 | 0.941282 |
| 191 | 0.0507544 | 0.101509 | 0.949246 |
| 192 | 0.0434981 | 0.0869963 | 0.956502 |
| 193 | 0.049602 | 0.099204 | 0.950398 |
| 194 | 0.0481927 | 0.0963854 | 0.951807 |
| 195 | 0.0406859 | 0.0813717 | 0.959314 |
| 196 | 0.0332503 | 0.0665007 | 0.96675 |
| 197 | 0.0492321 | 0.0984642 | 0.950768 |
| 198 | 0.0409054 | 0.0818107 | 0.959095 |
| 199 | 0.0384194 | 0.0768389 | 0.961581 |
| 200 | 0.0324401 | 0.0648802 | 0.96756 |
| 201 | 0.0303134 | 0.0606268 | 0.969687 |
| 202 | 0.0249732 | 0.0499463 | 0.975027 |
| 203 | 0.0272807 | 0.0545615 | 0.972719 |
| 204 | 0.0348575 | 0.0697149 | 0.965143 |
| 205 | 0.0390136 | 0.0780272 | 0.960986 |
| 206 | 0.0311409 | 0.0622819 | 0.968859 |
| 207 | 0.0285587 | 0.0571174 | 0.971441 |
| 208 | 0.0232146 | 0.0464291 | 0.976785 |
| 209 | 0.0264183 | 0.0528365 | 0.973582 |
| 210 | 0.0226209 | 0.0452418 | 0.977379 |
| 211 | 0.0259131 | 0.0518261 | 0.974087 |
| 212 | 0.0441796 | 0.0883593 | 0.95582 |
| 213 | 0.0350994 | 0.0701989 | 0.964901 |
| 214 | 0.0470312 | 0.0940623 | 0.952969 |
| 215 | 0.0413057 | 0.0826114 | 0.958694 |
| 216 | 0.0325039 | 0.0650077 | 0.967496 |
| 217 | 0.0341965 | 0.068393 | 0.965804 |
| 218 | 0.0284906 | 0.0569811 | 0.971509 |
| 219 | 0.0265312 | 0.0530624 | 0.973469 |
| 220 | 0.0201786 | 0.0403572 | 0.979821 |
| 221 | 0.0180186 | 0.0360372 | 0.981981 |
| 222 | 0.0138498 | 0.0276996 | 0.98615 |
| 223 | 0.010393 | 0.0207861 | 0.989607 |
| 224 | 0.00848402 | 0.016968 | 0.991516 |
| 225 | 0.0064077 | 0.0128154 | 0.993592 |
| 226 | 0.0139388 | 0.0278776 | 0.986061 |
| 227 | 0.0105777 | 0.0211553 | 0.989422 |
| 228 | 0.00829141 | 0.0165828 | 0.991709 |
| 229 | 0.00613746 | 0.0122749 | 0.993863 |
| 230 | 0.00443591 | 0.00887182 | 0.995564 |
| 231 | 0.00501557 | 0.0100311 | 0.994984 |
| 232 | 0.011758 | 0.0235159 | 0.988242 |
| 233 | 0.054155 | 0.10831 | 0.945845 |
| 234 | 0.0792922 | 0.158584 | 0.920708 |
| 235 | 0.0612263 | 0.122453 | 0.938774 |
| 236 | 0.0541246 | 0.108249 | 0.945875 |
| 237 | 0.297409 | 0.594818 | 0.702591 |
| 238 | 0.253273 | 0.506547 | 0.746727 |
| 239 | 0.226279 | 0.452558 | 0.773721 |
| 240 | 0.185246 | 0.370491 | 0.814754 |
| 241 | 0.144344 | 0.288687 | 0.855656 |
| 242 | 0.142805 | 0.28561 | 0.857195 |
| 243 | 0.126024 | 0.252047 | 0.873976 |
| 244 | 0.173908 | 0.347816 | 0.826092 |
| 245 | 0.225821 | 0.451642 | 0.774179 |
| 246 | 0.189037 | 0.378073 | 0.810963 |
| 247 | 0.147706 | 0.295411 | 0.852294 |
| 248 | 0.133101 | 0.266202 | 0.866899 |
| 249 | 0.106964 | 0.213928 | 0.893036 |
| 250 | 0.144334 | 0.288667 | 0.855666 |
| 251 | 0.0972619 | 0.194524 | 0.902738 |
| 252 | 0.227324 | 0.454648 | 0.772676 |
| 253 | 0.385158 | 0.770315 | 0.614842 |
| 254 | 0.933491 | 0.133019 | 0.0665093 |
| 255 | 0.905251 | 0.189498 | 0.0947491 |
| Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity | |||
| Description | # significant tests | % significant tests | OK/NOK |
| 1% type I error level | 2 | 0.00809717 | OK |
| 5% type I error level | 73 | 0.295547 | NOK |
| 10% type I error level | 120 | 0.48583 | NOK |
