| Multiple Linear Regression - Estimated Regression Equation |
| Software[t] = + 4.61109 -0.0173093Connected[t] + 0.0389883Separate[t] + 0.556295Learning[t] -0.0126553Happiness[t] -0.00944437Depression[t] -0.240347Month[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) | 4.61109 | 2.54728 | 1.81 | 0.0714322 | 0.0357161 |
| Connected | -0.0173093 | 0.0338269 | -0.5117 | 0.609299 | 0.30465 |
| Separate | 0.0389883 | 0.0344669 | 1.131 | 0.259034 | 0.129517 |
| Learning | 0.556295 | 0.0502703 | 11.07 | 1.55781e-23 | 7.78907e-24 |
| Happiness | -0.0126553 | 0.0562507 | -0.225 | 0.822174 | 0.411087 |
| Depression | -0.00944437 | 0.0402785 | -0.2345 | 0.814801 | 0.407401 |
| Month | -0.240347 | 0.154841 | -1.552 | 0.12184 | 0.0609199 |
| Multiple Linear Regression - Regression Statistics | |
| Multiple R | 0.630575 |
| R-squared | 0.397624 |
| Adjusted R-squared | 0.383561 |
| F-TEST (value) | 28.274 |
| F-TEST (DF numerator) | 6 |
| F-TEST (DF denominator) | 257 |
| p-value | 0 |
| Multiple Linear Regression - Residual Statistics | |
| Residual Standard Deviation | 1.82155 |
| Sum Squared Residuals | 852.736 |
| Multiple Linear Regression - Actuals, Interpolation, and Residuals | |||
| Time or Index | Actuals | Interpolation Forecast | Residuals Prediction Error |
| 1 | 12 | 10.1612 | 1.83884 |
| 2 | 11 | 11.5896 | -0.589561 |
| 3 | 15 | 13.5914 | 1.40855 |
| 4 | 6 | 11.2772 | -5.27722 |
| 5 | 13 | 10.6893 | 2.31067 |
| 6 | 10 | 9.8635 | 0.136496 |
| 7 | 12 | 13.1662 | -1.16619 |
| 8 | 14 | 11.3264 | 2.67361 |
| 9 | 12 | 10.6933 | 1.30673 |
| 10 | 9 | 11.3209 | -2.32089 |
| 11 | 10 | 11.59 | -1.58998 |
| 12 | 12 | 11.7351 | 0.264856 |
| 13 | 12 | 11.7873 | 0.2127 |
| 14 | 11 | 11.8205 | -0.820469 |
| 15 | 15 | 12.4541 | 2.5459 |
| 16 | 12 | 11.2157 | 0.784293 |
| 17 | 10 | 11.1075 | -1.10748 |
| 18 | 12 | 14.0786 | -2.07864 |
| 19 | 11 | 12.9961 | -1.99615 |
| 20 | 12 | 11.7171 | 0.282852 |
| 21 | 11 | 11.7639 | -0.763881 |
| 22 | 12 | 11.7493 | 0.250699 |
| 23 | 13 | 13.5336 | -0.533553 |
| 24 | 11 | 11.9447 | -0.944696 |
| 25 | 12 | 12.1585 | -0.158512 |
| 26 | 13 | 12.244 | 0.755976 |
| 27 | 10 | 11.7838 | -1.78376 |
| 28 | 14 | 11.3449 | 2.65509 |
| 29 | 12 | 11.742 | 0.257962 |
| 30 | 10 | 10.6722 | -0.672204 |
| 31 | 12 | 11.177 | 0.823048 |
| 32 | 8 | 9.59759 | -1.59759 |
| 33 | 10 | 10.4947 | -0.494701 |
| 34 | 12 | 11.909 | 0.0909849 |
| 35 | 12 | 10.5173 | 1.48273 |
| 36 | 7 | 8.46559 | -1.46559 |
| 37 | 9 | 8.41479 | 0.585207 |
| 38 | 12 | 10.5964 | 1.40359 |
| 39 | 10 | 11.7458 | -1.74577 |
| 40 | 10 | 11.7705 | -1.77051 |
| 41 | 10 | 11.681 | -1.68103 |
| 42 | 12 | 10.5995 | 1.40052 |
| 43 | 15 | 13.8857 | 1.11431 |
| 44 | 10 | 10.6328 | -0.632795 |
| 45 | 10 | 10.3763 | -0.376293 |
| 46 | 12 | 9.02937 | 2.97063 |
| 47 | 13 | 10.8241 | 2.17595 |
| 48 | 11 | 11.2531 | -0.253064 |
| 49 | 11 | 11.8503 | -0.850297 |
| 50 | 12 | 10.5576 | 1.44244 |
| 51 | 14 | 11.9794 | 2.02059 |
| 52 | 10 | 10.5424 | -0.542448 |
| 53 | 12 | 9.54701 | 2.45299 |
| 54 | 13 | 11.9576 | 1.04236 |
| 55 | 5 | 7.89259 | -2.89259 |
| 56 | 6 | 10.6335 | -4.63347 |
| 57 | 12 | 11.674 | 0.32604 |
| 58 | 12 | 11.8975 | 0.102515 |
| 59 | 11 | 11.3092 | -0.309214 |
| 60 | 10 | 11.7749 | -1.77493 |
| 61 | 7 | 9.40576 | -2.40576 |
| 62 | 12 | 11.7387 | 0.261321 |
| 63 | 14 | 11.8722 | 2.12778 |
| 64 | 11 | 10.7547 | 0.245302 |
| 65 | 12 | 11.6562 | 0.343803 |
| 66 | 13 | 12.2709 | 0.72907 |
| 67 | 14 | 12.6626 | 1.33738 |
| 68 | 11 | 12.4891 | -1.48913 |
| 69 | 12 | 9.45502 | 2.54498 |
| 70 | 12 | 11.623 | 0.376975 |
| 71 | 8 | 8.21644 | -0.216438 |
| 72 | 11 | 10.5966 | 0.403439 |
| 73 | 14 | 12.8403 | 1.15965 |
| 74 | 14 | 12.8774 | 1.12258 |
| 75 | 12 | 11.3041 | 0.695905 |
| 76 | 9 | 11.8279 | -2.82791 |
| 77 | 13 | 11.5725 | 1.42746 |
| 78 | 11 | 11.4034 | -0.403382 |
| 79 | 12 | 9.85082 | 2.14918 |
| 80 | 12 | 11.2711 | 0.728944 |
| 81 | 12 | 11.647 | 0.353011 |
| 82 | 12 | 11.6702 | 0.329753 |
| 83 | 12 | 10.8824 | 1.11761 |
| 84 | 11 | 11.0206 | -0.020582 |
| 85 | 10 | 11.4458 | -1.44581 |
| 86 | 9 | 10.5459 | -1.54593 |
| 87 | 12 | 11.5722 | 0.427777 |
| 88 | 12 | 11.5478 | 0.452194 |
| 89 | 12 | 10.9711 | 1.02892 |
| 90 | 9 | 9.41223 | -0.412228 |
| 91 | 15 | 11.9829 | 3.01706 |
| 92 | 12 | 11.7884 | 0.211577 |
| 93 | 12 | 10.771 | 1.22903 |
| 94 | 12 | 9.82455 | 2.17545 |
| 95 | 10 | 11.5305 | -1.53048 |
| 96 | 13 | 11.5295 | 1.47049 |
| 97 | 9 | 11.4301 | -2.43008 |
| 98 | 12 | 11.4745 | 0.525536 |
| 99 | 10 | 10.5612 | -0.561152 |
| 100 | 14 | 11.5446 | 2.45542 |
| 101 | 11 | 11.5295 | -0.529507 |
| 102 | 15 | 13.8371 | 1.16287 |
| 103 | 11 | 10.8467 | 0.153282 |
| 104 | 11 | 11.7167 | -0.716732 |
| 105 | 12 | 9.70136 | 2.29864 |
| 106 | 12 | 12.0651 | -0.0650938 |
| 107 | 12 | 11.5783 | 0.421743 |
| 108 | 11 | 11.5816 | -0.581571 |
| 109 | 7 | 9.42314 | -2.42314 |
| 110 | 12 | 11.5926 | 0.407393 |
| 111 | 14 | 11.5775 | 2.42251 |
| 112 | 11 | 12.4408 | -1.44085 |
| 113 | 11 | 9.85333 | 1.14667 |
| 114 | 10 | 9.22718 | 0.772815 |
| 115 | 13 | 12.5312 | 0.468822 |
| 116 | 13 | 10.6747 | 2.32533 |
| 117 | 8 | 10.6668 | -2.66681 |
| 118 | 11 | 9.97066 | 1.02934 |
| 119 | 12 | 11.5353 | 0.46468 |
| 120 | 11 | 10.0173 | 0.98272 |
| 121 | 13 | 11.315 | 1.68497 |
| 122 | 12 | 10.0085 | 1.99148 |
| 123 | 14 | 11.6841 | 2.31594 |
| 124 | 13 | 10.8438 | 2.15618 |
| 125 | 15 | 11.59 | 3.41005 |
| 126 | 10 | 10.8339 | -0.833907 |
| 127 | 11 | 12.114 | -1.11398 |
| 128 | 9 | 11.0401 | -2.04007 |
| 129 | 11 | 9.25134 | 1.74866 |
| 130 | 10 | 11.5726 | -1.57264 |
| 131 | 11 | 8.23074 | 2.76926 |
| 132 | 8 | 11.5743 | -3.57426 |
| 133 | 11 | 9.25396 | 1.74604 |
| 134 | 12 | 10.5337 | 1.46631 |
| 135 | 12 | 10.7941 | 1.2059 |
| 136 | 9 | 9.4561 | -0.456102 |
| 137 | 11 | 11.0187 | -0.0187182 |
| 138 | 10 | 8.88185 | 1.11815 |
| 139 | 8 | 9.30921 | -1.30921 |
| 140 | 9 | 8.87701 | 0.12299 |
| 141 | 8 | 11.5958 | -3.59577 |
| 142 | 9 | 11.1406 | -2.14062 |
| 143 | 15 | 12.2194 | 2.78057 |
| 144 | 11 | 11.1653 | -0.165315 |
| 145 | 8 | 7.98046 | 0.0195435 |
| 146 | 13 | 12.4039 | 0.596106 |
| 147 | 12 | 9.95791 | 2.04209 |
| 148 | 12 | 11.5073 | 0.492678 |
| 149 | 9 | 9.78791 | -0.787908 |
| 150 | 7 | 8.31754 | -1.31754 |
| 151 | 13 | 10.9425 | 2.05746 |
| 152 | 9 | 11.7139 | -2.71389 |
| 153 | 6 | 11.7579 | -5.75786 |
| 154 | 8 | 10.6106 | -2.6106 |
| 155 | 8 | 8.07348 | -0.0734766 |
| 156 | 15 | 11.9829 | 3.01706 |
| 157 | 6 | 10.0187 | -4.01872 |
| 158 | 9 | 11.0401 | -2.04007 |
| 159 | 11 | 11.5179 | -0.517926 |
| 160 | 8 | 9.48895 | -1.48895 |
| 161 | 8 | 9.93888 | -1.93888 |
| 162 | 10 | 9.39223 | 0.607772 |
| 163 | 8 | 8.81052 | -0.810519 |
| 164 | 14 | 11.6618 | 2.33823 |
| 165 | 10 | 10.9472 | -0.947168 |
| 166 | 8 | 7.92801 | 0.0719867 |
| 167 | 11 | 10.2322 | 0.767775 |
| 168 | 12 | 8.32709 | 3.67291 |
| 169 | 12 | 9.82713 | 2.17287 |
| 170 | 12 | 11.5593 | 0.440694 |
| 171 | 5 | 8.8829 | -3.8829 |
| 172 | 12 | 11.3716 | 0.628398 |
| 173 | 10 | 9.07049 | 0.929514 |
| 174 | 7 | 7.12159 | -0.121586 |
| 175 | 12 | 8.78608 | 3.21392 |
| 176 | 11 | 10.8729 | 0.127133 |
| 177 | 8 | 9.02397 | -1.02397 |
| 178 | 9 | 8.97131 | 0.0286857 |
| 179 | 10 | 10.1305 | -0.130517 |
| 180 | 9 | 9.15619 | -0.156191 |
| 181 | 12 | 11.3674 | 0.632631 |
| 182 | 6 | 8.40082 | -2.40082 |
| 183 | 15 | 13.1101 | 1.88985 |
| 184 | 12 | 10.6299 | 1.37005 |
| 185 | 12 | 6.82212 | 5.17788 |
| 186 | 12 | 11.3737 | 0.626294 |
| 187 | 11 | 11.8174 | -0.817354 |
| 188 | 7 | 8.87322 | -1.87322 |
| 189 | 7 | 8.39678 | -1.39678 |
| 190 | 5 | 8.59865 | -3.59865 |
| 191 | 12 | 10.3431 | 1.65691 |
| 192 | 12 | 11.4981 | 0.501852 |
| 193 | 3 | 9.04403 | -6.04403 |
| 194 | 11 | 11.4144 | -0.41441 |
| 195 | 10 | 9.57078 | 0.429221 |
| 196 | 12 | 10.8876 | 1.11239 |
| 197 | 9 | 11.1315 | -2.13149 |
| 198 | 12 | 11.4205 | 0.579492 |
| 199 | 9 | 10.1901 | -1.19012 |
| 200 | 12 | 11.3783 | 0.621725 |
| 201 | 12 | 11.2439 | 0.756095 |
| 202 | 10 | 10.2065 | -0.206461 |
| 203 | 9 | 8.3876 | 0.612395 |
| 204 | 12 | 9.00518 | 2.99482 |
| 205 | 8 | 10.7724 | -2.77237 |
| 206 | 11 | 10.8141 | 0.185852 |
| 207 | 11 | 11.4142 | -0.414222 |
| 208 | 12 | 11.3216 | 0.67841 |
| 209 | 10 | 8.45325 | 1.54675 |
| 210 | 10 | 10.694 | -0.693973 |
| 211 | 12 | 9.06645 | 2.93355 |
| 212 | 12 | 9.34224 | 2.65776 |
| 213 | 11 | 10.9691 | 0.0308691 |
| 214 | 8 | 10.7907 | -2.79071 |
| 215 | 12 | 11.327 | 0.673011 |
| 216 | 10 | 9.93284 | 0.0671623 |
| 217 | 11 | 11.8986 | -0.898638 |
| 218 | 10 | 10.1154 | -0.11543 |
| 219 | 8 | 9.63154 | -1.63154 |
| 220 | 12 | 10.8871 | 1.11295 |
| 221 | 12 | 9.62735 | 2.37265 |
| 222 | 10 | 10.1854 | -0.185405 |
| 223 | 12 | 10.701 | 1.299 |
| 224 | 9 | 9.07902 | -0.0790152 |
| 225 | 9 | 9.70193 | -0.701935 |
| 226 | 6 | 6.97038 | -0.970379 |
| 227 | 10 | 10.1221 | -0.122096 |
| 228 | 9 | 10.2446 | -1.2446 |
| 229 | 9 | 8.46615 | 0.533854 |
| 230 | 9 | 9.1569 | -0.156896 |
| 231 | 6 | 9.48973 | -3.48973 |
| 232 | 10 | 8.17556 | 1.82444 |
| 233 | 6 | 11.3649 | -5.36486 |
| 234 | 14 | 12.2324 | 1.76756 |
| 235 | 10 | 9.57073 | 0.429273 |
| 236 | 10 | 8.40058 | 1.59942 |
| 237 | 6 | 4.40923 | 1.59077 |
| 238 | 12 | 9.34136 | 2.65864 |
| 239 | 12 | 11.3442 | 0.655787 |
| 240 | 7 | 7.80688 | -0.806881 |
| 241 | 8 | 9.17677 | -1.17677 |
| 242 | 11 | 9.12089 | 1.87911 |
| 243 | 3 | 7.83425 | -4.83425 |
| 244 | 6 | 9.57692 | -3.57692 |
| 245 | 10 | 10.5578 | -0.557835 |
| 246 | 8 | 9.17733 | -1.17733 |
| 247 | 9 | 10.2599 | -1.25991 |
| 248 | 9 | 7.76031 | 1.23969 |
| 249 | 8 | 8.81724 | -0.817244 |
| 250 | 9 | 8.7561 | 0.243896 |
| 251 | 7 | 8.55347 | -1.55347 |
| 252 | 7 | 7.88156 | -0.881562 |
| 253 | 6 | 9.07687 | -3.07687 |
| 254 | 9 | 11.2571 | -2.25711 |
| 255 | 10 | 8.97656 | 1.02344 |
| 256 | 11 | 10.16 | 0.840035 |
| 257 | 12 | 11.3925 | 0.607501 |
| 258 | 8 | 10.1825 | -2.18254 |
| 259 | 11 | 9.55276 | 1.44724 |
| 260 | 3 | 4.55416 | -1.55416 |
| 261 | 11 | 10.7235 | 0.276517 |
| 262 | 12 | 8.67639 | 3.32361 |
| 263 | 7 | 8.50135 | -1.50135 |
| 264 | 9 | 10.2105 | -1.21055 |
| Goldfeld-Quandt test for Heteroskedasticity | |||
| p-values | Alternative Hypothesis | ||
| breakpoint index | greater | 2-sided | less |
| 10 | 0.995451 | 0.00909893 | 0.00454947 |
| 11 | 0.990146 | 0.0197083 | 0.00985417 |
| 12 | 0.980264 | 0.0394711 | 0.0197356 |
| 13 | 0.96791 | 0.0641809 | 0.0320905 |
| 14 | 0.962806 | 0.0743874 | 0.0371937 |
| 15 | 0.951753 | 0.0964949 | 0.0482474 |
| 16 | 0.930375 | 0.13925 | 0.0696251 |
| 17 | 0.897118 | 0.205765 | 0.102882 |
| 18 | 0.903346 | 0.193308 | 0.096654 |
| 19 | 0.87831 | 0.24338 | 0.12169 |
| 20 | 0.834195 | 0.33161 | 0.165805 |
| 21 | 0.793946 | 0.412108 | 0.206054 |
| 22 | 0.751163 | 0.497674 | 0.248837 |
| 23 | 0.694088 | 0.611823 | 0.305912 |
| 24 | 0.65068 | 0.698639 | 0.34932 |
| 25 | 0.603153 | 0.793695 | 0.396847 |
| 26 | 0.651219 | 0.697561 | 0.348781 |
| 27 | 0.635559 | 0.728881 | 0.364441 |
| 28 | 0.650679 | 0.698643 | 0.349321 |
| 29 | 0.590819 | 0.818362 | 0.409181 |
| 30 | 0.543929 | 0.912142 | 0.456071 |
| 31 | 0.495488 | 0.990975 | 0.504512 |
| 32 | 0.53924 | 0.921519 | 0.46076 |
| 33 | 0.480884 | 0.961769 | 0.519116 |
| 34 | 0.422361 | 0.844722 | 0.577639 |
| 35 | 0.413456 | 0.826911 | 0.586544 |
| 36 | 0.413089 | 0.826178 | 0.586911 |
| 37 | 0.35951 | 0.719021 | 0.64049 |
| 38 | 0.342743 | 0.685486 | 0.657257 |
| 39 | 0.323062 | 0.646124 | 0.676938 |
| 40 | 0.301146 | 0.602292 | 0.698854 |
| 41 | 0.27317 | 0.54634 | 0.72683 |
| 42 | 0.251019 | 0.502037 | 0.748981 |
| 43 | 0.268152 | 0.536304 | 0.731848 |
| 44 | 0.231057 | 0.462114 | 0.768943 |
| 45 | 0.194316 | 0.388632 | 0.805684 |
| 46 | 0.238608 | 0.477217 | 0.761392 |
| 47 | 0.236745 | 0.473489 | 0.763255 |
| 48 | 0.200318 | 0.400636 | 0.799682 |
| 49 | 0.183116 | 0.366233 | 0.816884 |
| 50 | 0.170636 | 0.341272 | 0.829364 |
| 51 | 0.177023 | 0.354046 | 0.822977 |
| 52 | 0.14861 | 0.297219 | 0.85139 |
| 53 | 0.154399 | 0.308799 | 0.845601 |
| 54 | 0.131998 | 0.263995 | 0.868002 |
| 55 | 0.210145 | 0.42029 | 0.789855 |
| 56 | 0.467406 | 0.934811 | 0.532594 |
| 57 | 0.425123 | 0.850246 | 0.574877 |
| 58 | 0.382456 | 0.764912 | 0.617544 |
| 59 | 0.342456 | 0.684911 | 0.657544 |
| 60 | 0.34126 | 0.68252 | 0.65874 |
| 61 | 0.357744 | 0.715488 | 0.642256 |
| 62 | 0.319952 | 0.639903 | 0.680048 |
| 63 | 0.333851 | 0.667702 | 0.666149 |
| 64 | 0.295366 | 0.590732 | 0.704634 |
| 65 | 0.265126 | 0.530252 | 0.734874 |
| 66 | 0.23208 | 0.464161 | 0.76792 |
| 67 | 0.206604 | 0.413208 | 0.793396 |
| 68 | 0.191424 | 0.382849 | 0.808576 |
| 69 | 0.180701 | 0.361401 | 0.819299 |
| 70 | 0.157616 | 0.315231 | 0.842384 |
| 71 | 0.143652 | 0.287303 | 0.856348 |
| 72 | 0.123285 | 0.24657 | 0.876715 |
| 73 | 0.105809 | 0.211619 | 0.894191 |
| 74 | 0.0899023 | 0.179805 | 0.910098 |
| 75 | 0.0804846 | 0.160969 | 0.919515 |
| 76 | 0.10145 | 0.2029 | 0.89855 |
| 77 | 0.08984 | 0.17968 | 0.91016 |
| 78 | 0.0749456 | 0.149891 | 0.925054 |
| 79 | 0.0781857 | 0.156371 | 0.921814 |
| 80 | 0.0693071 | 0.138614 | 0.930693 |
| 81 | 0.0576894 | 0.115379 | 0.942311 |
| 82 | 0.0479837 | 0.0959674 | 0.952016 |
| 83 | 0.0407055 | 0.0814111 | 0.959294 |
| 84 | 0.0334234 | 0.0668468 | 0.966577 |
| 85 | 0.0316874 | 0.0633749 | 0.968313 |
| 86 | 0.0370659 | 0.0741317 | 0.962934 |
| 87 | 0.0298399 | 0.0596798 | 0.97016 |
| 88 | 0.0239592 | 0.0479184 | 0.976041 |
| 89 | 0.0201483 | 0.0402966 | 0.979852 |
| 90 | 0.0171832 | 0.0343664 | 0.982817 |
| 91 | 0.0264371 | 0.0528742 | 0.973563 |
| 92 | 0.0219861 | 0.0439722 | 0.978014 |
| 93 | 0.0197095 | 0.0394191 | 0.98029 |
| 94 | 0.0206378 | 0.0412757 | 0.979362 |
| 95 | 0.0212122 | 0.0424245 | 0.978788 |
| 96 | 0.0186214 | 0.0372427 | 0.981379 |
| 97 | 0.0239623 | 0.0479246 | 0.976038 |
| 98 | 0.0192728 | 0.0385456 | 0.980727 |
| 99 | 0.0165628 | 0.0331256 | 0.983437 |
| 100 | 0.0189352 | 0.0378705 | 0.981065 |
| 101 | 0.0158266 | 0.0316533 | 0.984173 |
| 102 | 0.0133137 | 0.0266274 | 0.986686 |
| 103 | 0.0104308 | 0.0208615 | 0.989569 |
| 104 | 0.00929549 | 0.018591 | 0.990705 |
| 105 | 0.0100862 | 0.0201724 | 0.989914 |
| 106 | 0.0078993 | 0.0157986 | 0.992101 |
| 107 | 0.00617826 | 0.0123565 | 0.993822 |
| 108 | 0.00513388 | 0.0102678 | 0.994866 |
| 109 | 0.00790211 | 0.0158042 | 0.992098 |
| 110 | 0.00615143 | 0.0123029 | 0.993849 |
| 111 | 0.0070468 | 0.0140936 | 0.992953 |
| 112 | 0.00749976 | 0.0149995 | 0.9925 |
| 113 | 0.00624308 | 0.0124862 | 0.993757 |
| 114 | 0.00494639 | 0.00989278 | 0.995054 |
| 115 | 0.00382372 | 0.00764743 | 0.996176 |
| 116 | 0.00419405 | 0.00838809 | 0.995806 |
| 117 | 0.00686912 | 0.0137382 | 0.993131 |
| 118 | 0.00561749 | 0.011235 | 0.994383 |
| 119 | 0.00437196 | 0.00874393 | 0.995628 |
| 120 | 0.00354702 | 0.00709404 | 0.996453 |
| 121 | 0.00334122 | 0.00668245 | 0.996659 |
| 122 | 0.00339687 | 0.00679373 | 0.996603 |
| 123 | 0.0038905 | 0.007781 | 0.996109 |
| 124 | 0.00424652 | 0.00849305 | 0.995753 |
| 125 | 0.00795888 | 0.0159178 | 0.992041 |
| 126 | 0.00676244 | 0.0135249 | 0.993238 |
| 127 | 0.00583348 | 0.011667 | 0.994167 |
| 128 | 0.00665435 | 0.0133087 | 0.993346 |
| 129 | 0.00647816 | 0.0129563 | 0.993522 |
| 130 | 0.00649466 | 0.0129893 | 0.993505 |
| 131 | 0.00858019 | 0.0171604 | 0.99142 |
| 132 | 0.0170629 | 0.0341258 | 0.982937 |
| 133 | 0.0167839 | 0.0335679 | 0.983216 |
| 134 | 0.0159604 | 0.0319207 | 0.98404 |
| 135 | 0.0143118 | 0.0286235 | 0.985688 |
| 136 | 0.0118334 | 0.0236669 | 0.988167 |
| 137 | 0.00960382 | 0.0192076 | 0.990396 |
| 138 | 0.00885512 | 0.0177102 | 0.991145 |
| 139 | 0.00815124 | 0.0163025 | 0.991849 |
| 140 | 0.00688472 | 0.0137694 | 0.993115 |
| 141 | 0.0137593 | 0.0275186 | 0.986241 |
| 142 | 0.0149744 | 0.0299488 | 0.985026 |
| 143 | 0.0227087 | 0.0454175 | 0.977291 |
| 144 | 0.0184158 | 0.0368315 | 0.981584 |
| 145 | 0.014853 | 0.029706 | 0.985147 |
| 146 | 0.0126155 | 0.025231 | 0.987384 |
| 147 | 0.0152402 | 0.0304804 | 0.98476 |
| 148 | 0.0136043 | 0.0272086 | 0.986396 |
| 149 | 0.0115836 | 0.0231672 | 0.988416 |
| 150 | 0.0102198 | 0.0204396 | 0.98978 |
| 151 | 0.013192 | 0.0263841 | 0.986808 |
| 152 | 0.0153608 | 0.0307216 | 0.984639 |
| 153 | 0.0687806 | 0.137561 | 0.931219 |
| 154 | 0.0688071 | 0.137614 | 0.931193 |
| 155 | 0.0599022 | 0.119804 | 0.940098 |
| 156 | 0.105511 | 0.211023 | 0.894489 |
| 157 | 0.15085 | 0.3017 | 0.84915 |
| 158 | 0.144669 | 0.289338 | 0.855331 |
| 159 | 0.130346 | 0.260692 | 0.869654 |
| 160 | 0.119337 | 0.238674 | 0.880663 |
| 161 | 0.111698 | 0.223396 | 0.888302 |
| 162 | 0.0981622 | 0.196324 | 0.901838 |
| 163 | 0.0874813 | 0.174963 | 0.912519 |
| 164 | 0.095219 | 0.190438 | 0.904781 |
| 165 | 0.085822 | 0.171644 | 0.914178 |
| 166 | 0.073111 | 0.146222 | 0.926889 |
| 167 | 0.0625901 | 0.12518 | 0.93741 |
| 168 | 0.103877 | 0.207754 | 0.896123 |
| 169 | 0.105867 | 0.211734 | 0.894133 |
| 170 | 0.0917611 | 0.183522 | 0.908239 |
| 171 | 0.160697 | 0.321393 | 0.839303 |
| 172 | 0.140134 | 0.280269 | 0.859866 |
| 173 | 0.12352 | 0.24704 | 0.87648 |
| 174 | 0.106606 | 0.213212 | 0.893394 |
| 175 | 0.14279 | 0.285579 | 0.85721 |
| 176 | 0.1233 | 0.246599 | 0.8767 |
| 177 | 0.111567 | 0.223133 | 0.888433 |
| 178 | 0.0955618 | 0.191124 | 0.904438 |
| 179 | 0.081259 | 0.162518 | 0.918741 |
| 180 | 0.0682605 | 0.136521 | 0.931739 |
| 181 | 0.0575368 | 0.115074 | 0.942463 |
| 182 | 0.065995 | 0.13199 | 0.934005 |
| 183 | 0.0676577 | 0.135315 | 0.932342 |
| 184 | 0.0622572 | 0.124514 | 0.937743 |
| 185 | 0.224882 | 0.449764 | 0.775118 |
| 186 | 0.202198 | 0.404397 | 0.797802 |
| 187 | 0.182061 | 0.364122 | 0.817939 |
| 188 | 0.190621 | 0.381241 | 0.809379 |
| 189 | 0.176793 | 0.353585 | 0.823207 |
| 190 | 0.25354 | 0.507081 | 0.74646 |
| 191 | 0.251808 | 0.503616 | 0.748192 |
| 192 | 0.22182 | 0.443639 | 0.77818 |
| 193 | 0.58788 | 0.824241 | 0.41212 |
| 194 | 0.549497 | 0.901006 | 0.450503 |
| 195 | 0.512215 | 0.975569 | 0.487785 |
| 196 | 0.485454 | 0.970909 | 0.514546 |
| 197 | 0.509603 | 0.980794 | 0.490397 |
| 198 | 0.472773 | 0.945546 | 0.527227 |
| 199 | 0.447167 | 0.894333 | 0.552833 |
| 200 | 0.435157 | 0.870314 | 0.564843 |
| 201 | 0.414758 | 0.829515 | 0.585242 |
| 202 | 0.389761 | 0.779523 | 0.610239 |
| 203 | 0.353197 | 0.706393 | 0.646803 |
| 204 | 0.42818 | 0.85636 | 0.57182 |
| 205 | 0.463524 | 0.927049 | 0.536476 |
| 206 | 0.421148 | 0.842296 | 0.578852 |
| 207 | 0.379216 | 0.758432 | 0.620784 |
| 208 | 0.341739 | 0.683479 | 0.658261 |
| 209 | 0.325534 | 0.651068 | 0.674466 |
| 210 | 0.289267 | 0.578534 | 0.710733 |
| 211 | 0.362333 | 0.724666 | 0.637667 |
| 212 | 0.389618 | 0.779235 | 0.610382 |
| 213 | 0.348912 | 0.697823 | 0.651088 |
| 214 | 0.364537 | 0.729074 | 0.635463 |
| 215 | 0.328523 | 0.657045 | 0.671477 |
| 216 | 0.293112 | 0.586224 | 0.706888 |
| 217 | 0.256462 | 0.512925 | 0.743538 |
| 218 | 0.219462 | 0.438924 | 0.780538 |
| 219 | 0.220651 | 0.441301 | 0.779349 |
| 220 | 0.201339 | 0.402679 | 0.798661 |
| 221 | 0.2429 | 0.4858 | 0.7571 |
| 222 | 0.205272 | 0.410543 | 0.794728 |
| 223 | 0.196008 | 0.392016 | 0.803992 |
| 224 | 0.170773 | 0.341545 | 0.829227 |
| 225 | 0.144414 | 0.288829 | 0.855586 |
| 226 | 0.118825 | 0.23765 | 0.881175 |
| 227 | 0.0974006 | 0.194801 | 0.902599 |
| 228 | 0.0787966 | 0.157593 | 0.921203 |
| 229 | 0.060938 | 0.121876 | 0.939062 |
| 230 | 0.0469338 | 0.0938677 | 0.953066 |
| 231 | 0.0711776 | 0.142355 | 0.928822 |
| 232 | 0.0891059 | 0.178212 | 0.910894 |
| 233 | 0.269737 | 0.539474 | 0.730263 |
| 234 | 0.231976 | 0.463952 | 0.768024 |
| 235 | 0.189866 | 0.379733 | 0.810134 |
| 236 | 0.184948 | 0.369896 | 0.815052 |
| 237 | 0.183954 | 0.367907 | 0.816046 |
| 238 | 0.257729 | 0.515459 | 0.742271 |
| 239 | 0.262992 | 0.525985 | 0.737008 |
| 240 | 0.218157 | 0.436315 | 0.781843 |
| 241 | 0.172943 | 0.345886 | 0.827057 |
| 242 | 0.247312 | 0.494624 | 0.752688 |
| 243 | 0.526218 | 0.947563 | 0.473782 |
| 244 | 0.665736 | 0.668528 | 0.334264 |
| 245 | 0.596498 | 0.807004 | 0.403502 |
| 246 | 0.544695 | 0.910611 | 0.455305 |
| 247 | 0.492307 | 0.984614 | 0.507693 |
| 248 | 0.406368 | 0.812736 | 0.593632 |
| 249 | 0.315802 | 0.631603 | 0.684198 |
| 250 | 0.32494 | 0.649881 | 0.67506 |
| 251 | 0.451559 | 0.903117 | 0.548441 |
| 252 | 0.617336 | 0.765328 | 0.382664 |
| 253 | 0.668601 | 0.662799 | 0.331399 |
| 254 | 0.701607 | 0.596787 | 0.298393 |
| Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity | |||
| Description | # significant tests | % significant tests | OK/NOK |
| 1% type I error level | 10 | 0.0408163 | NOK |
| 5% type I error level | 67 | 0.273469 | NOK |
| 10% type I error level | 78 | 0.318367 | NOK |
