| Multiple Linear Regression - Estimated Regression Equation |
| bloeddruk[t] = + 97.077084265777 + 0.949322537331651leeftijd[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) | 97.077084265777 | 5.527552 | 17.5624 | 0 | 0 |
| leeftijd | 0.949322537331651 | 0.116145 | 8.1736 | 0 | 0 |
| Multiple Linear Regression - Regression Statistics | |
| Multiple R | 0.843906905197813 |
| R-squared | 0.71217886464055 |
| Adjusted R-squared | 0.7015188225902 |
| F-TEST (value) | 66.8082603498893 |
| F-TEST (DF numerator) | 1 |
| F-TEST (DF denominator) | 27 |
| p-value | 8.87628082146819e-09 |
| Multiple Linear Regression - Residual Statistics | |
| Residual Standard Deviation | 9.56332993206302 |
| Sum Squared Residuals | 2469.3465435163 |
| Multiple Linear Regression - Actuals, Interpolation, and Residuals | |||
| Time or Index | Actuals | Interpolation Forecast | Residuals Prediction Error |
| 1 | 144 | 134.100663221711 | 9.89933677828865 |
| 2 | 138 | 139.796598445701 | -1.79659844570125 |
| 3 | 145 | 141.695243520365 | 3.30475647963543 |
| 4 | 162 | 158.783049192334 | 3.2169508076657 |
| 5 | 142 | 140.745920983033 | 1.25407901696708 |
| 6 | 170 | 160.681694266998 | 9.3183057330024 |
| 7 | 124 | 136.948630833706 | -12.9486308337063 |
| 8 | 158 | 160.681694266998 | -2.6816942669976 |
| 9 | 154 | 150.239146356349 | 3.76085364365057 |
| 10 | 162 | 157.833726655003 | 4.16627334499735 |
| 11 | 150 | 150.239146356349 | -0.239146356349432 |
| 12 | 140 | 153.087113968344 | -13.0871139683444 |
| 13 | 110 | 129.354050535053 | -19.3540505350531 |
| 14 | 128 | 136.948630833706 | -8.94863083370631 |
| 15 | 130 | 142.644566057696 | -12.6445660576962 |
| 16 | 135 | 139.796598445701 | -4.79659844570127 |
| 17 | 114 | 113.215567400415 | 0.784432599584976 |
| 18 | 116 | 116.06353501241 | -0.0635350124099806 |
| 19 | 124 | 115.114212475078 | 8.88578752492167 |
| 20 | 136 | 131.252695609716 | 4.7473043902836 |
| 21 | 142 | 144.54321113236 | -2.54321113235952 |
| 22 | 120 | 134.100663221711 | -14.1006632217114 |
| 23 | 120 | 117.012857549742 | 2.98714245025837 |
| 24 | 160 | 138.84727590837 | 21.1527240916304 |
| 25 | 158 | 147.391178744354 | 10.6088212556455 |
| 26 | 144 | 156.884404117671 | -12.884404117671 |
| 27 | 130 | 124.607437848395 | 5.39256215160516 |
| 28 | 125 | 120.810147699068 | 4.18985230093176 |
| 29 | 175 | 162.580339341661 | 12.4196606583391 |
| Goldfeld-Quandt test for Heteroskedasticity | |||
| p-values | Alternative Hypothesis | ||
| breakpoint index | greater | 2-sided | less |
| 5 | 0.116744393922113 | 0.233488787844226 | 0.883255606077887 |
| 6 | 0.0865014180084095 | 0.173002836016819 | 0.913498581991591 |
| 7 | 0.294546006577777 | 0.589092013155553 | 0.705453993422223 |
| 8 | 0.234143842145459 | 0.468287684290918 | 0.765856157854541 |
| 9 | 0.145907544873949 | 0.291815089747898 | 0.854092455126051 |
| 10 | 0.0861356786533444 | 0.172271357306689 | 0.913864321346656 |
| 11 | 0.0468684303317333 | 0.0937368606634666 | 0.953131569668267 |
| 12 | 0.111558663146537 | 0.223117326293074 | 0.888441336853463 |
| 13 | 0.275026117423069 | 0.550052234846138 | 0.724973882576931 |
| 14 | 0.230270945863664 | 0.460541891727329 | 0.769729054136336 |
| 15 | 0.279877339327589 | 0.559754678655178 | 0.720122660672411 |
| 16 | 0.215335480038453 | 0.430670960076905 | 0.784664519961547 |
| 17 | 0.203643905452967 | 0.407287810905935 | 0.796356094547033 |
| 18 | 0.151227757492437 | 0.302455514984875 | 0.848772242507563 |
| 19 | 0.145392715379951 | 0.290785430759902 | 0.854607284620049 |
| 20 | 0.095670527036974 | 0.191341054073948 | 0.904329472963026 |
| 21 | 0.0585458553519686 | 0.117091710703937 | 0.941454144648031 |
| 22 | 0.152403633220764 | 0.304807266441529 | 0.847596366779236 |
| 23 | 0.0948498908822638 | 0.189699781764528 | 0.905150109117736 |
| 24 | 0.247635660826668 | 0.495271321653335 | 0.752364339173332 |
| 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 | 1 | 0.05 | OK |
