| Multiple Linear Regression - Estimated Regression Equation |
| pageviews[t] = -151.230024840088 + 0.000629582930447758time_in_rfc[t] + 4.03890402543848logins[t] + 1.5542833626442compendium_views_info[t] + 1.28439105110225compendium_views_pr[t] -8.59123068113098shared_compendiums[t] + 0.0566688720157127blogged_computations[t] + 13.9366577561993`compendiums_reviewed\r`[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) | -151.230024840088 | 147.13035 | -1.0279 | 0.315708 | 0.157854 |
| time_in_rfc | 0.000629582930447758 | 0.000855 | 0.7366 | 0.469535 | 0.234767 |
| logins | 4.03890402543848 | 1.779315 | 2.2699 | 0.033865 | 0.016932 |
| compendium_views_info | 1.5542833626442 | 0.245502 | 6.3311 | 3e-06 | 1e-06 |
| compendium_views_pr | 1.28439105110225 | 1.714819 | 0.749 | 0.462168 | 0.231084 |
| shared_compendiums | -8.59123068113098 | 11.987687 | -0.7167 | 0.481472 | 0.240736 |
| blogged_computations | 0.0566688720157127 | 0.079964 | 0.7087 | 0.486318 | 0.243159 |
| `compendiums_reviewed\r` | 13.9366577561993 | 5.534904 | 2.518 | 0.019987 | 0.009993 |
| Multiple Linear Regression - Regression Statistics | |
| Multiple R | 0.983099887942352 |
| R-squared | 0.966485389672266 |
| Adjusted R-squared | 0.955313852896354 |
| F-TEST (value) | 86.5131994871333 |
| F-TEST (DF numerator) | 7 |
| F-TEST (DF denominator) | 21 |
| p-value | 4.77395900588817e-14 |
| Multiple Linear Regression - Residual Statistics | |
| Residual Standard Deviation | 160.680199656612 |
| Sum Squared Residuals | 542180.657795462 |
| Multiple Linear Regression - Actuals, Interpolation, and Residuals | |||
| Time or Index | Actuals | Interpolation Forecast | Residuals Prediction Error |
| 1 | 1418 | 1324.06681597463 | 93.9331840253747 |
| 2 | 869 | 1042.52875821782 | -173.528758217816 |
| 3 | 1530 | 1540.95952757723 | -10.9595275772282 |
| 4 | 2172 | 2391.7082766609 | -219.708276660896 |
| 5 | 901 | 859.705474106706 | 41.2945258932942 |
| 6 | 463 | 589.314956411966 | -126.314956411966 |
| 7 | 3201 | 3327.05539709607 | -126.055397096067 |
| 8 | 371 | 419.200114681076 | -48.200114681076 |
| 9 | 1192 | 1011.3170385244 | 180.682961475599 |
| 10 | 1583 | 1546.54141849423 | 36.4585815057747 |
| 11 | 1439 | 1305.99146980832 | 133.008530191677 |
| 12 | 1764 | 1984.49687604337 | -220.496876043366 |
| 13 | 1495 | 1656.94139503305 | -161.941395033054 |
| 14 | 1373 | 1397.96835000474 | -24.9683500047448 |
| 15 | 2187 | 2280.23960797135 | -93.2396079713526 |
| 16 | 1491 | 1447.52715929411 | 43.472840705888 |
| 17 | 4041 | 3709.89083989991 | 331.109160100094 |
| 18 | 1706 | 1604.20814849879 | 101.791851501207 |
| 19 | 2152 | 2329.88598743706 | -177.885987437063 |
| 20 | 1036 | 1064.3461126906 | -28.3461126906007 |
| 21 | 1882 | 1608.7910944776 | 273.208905522403 |
| 22 | 1929 | 1828.28283074248 | 100.717169257515 |
| 23 | 2242 | 2389.72581165943 | -147.725811659435 |
| 24 | 1220 | 1077.79306769209 | 142.206932307911 |
| 25 | 1289 | 1283.59506504036 | 5.40493495963781 |
| 26 | 2515 | 2485.99954862162 | 29.0004513783831 |
| 27 | 2147 | 2124.53991231458 | 22.4600876854217 |
| 28 | 2352 | 2327.25524709336 | 24.7447529066408 |
| 29 | 1638 | 1638.12369793216 | -0.123697932156713 |
| Goldfeld-Quandt test for Heteroskedasticity | |||
| p-values | Alternative Hypothesis | ||
| breakpoint index | greater | 2-sided | less |
| 11 | 0.107312038416655 | 0.214624076833311 | 0.892687961583345 |
| 12 | 0.13743650040845 | 0.2748730008169 | 0.86256349959155 |
| 13 | 0.226403092384591 | 0.452806184769181 | 0.773596907615409 |
| 14 | 0.129766001864766 | 0.259532003729533 | 0.870233998135234 |
| 15 | 0.14344688528541 | 0.28689377057082 | 0.85655311471459 |
| 16 | 0.0800151622894212 | 0.160030324578842 | 0.919984837710579 |
| 17 | 0.618857963515834 | 0.762284072968332 | 0.381142036484166 |
| 18 | 0.445578148817981 | 0.891156297635962 | 0.554421851182019 |
| Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity | |||
| Description | # significant tests | % significant tests | OK/NOK |
| 1% type I error level | 0 | 0 | OK |
| 5% type I error level | 0 | 0 | OK |
| 10% type I error level | 0 | 0 | OK |
