| Multiple Linear Regression - Estimated Regression Equation |
| Dood [t] = + 2324.06337308848 + 1.00000000000895 Afwijking -451.374973246763 M1 -635.461053318543 M2 -583.133697990635 M3 -694.55634264598 M4 -555.478987323556 M5 -609.464131985079 M6 -532.074276650652 M7 -515.434421316216 M8 -460.857065991703 M9 -319.717210650035 M10 -118.389855330753 M11 -1.76485533229450 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) | 2324.06337308848 | 6.40752243481104e-09 | 362708581473.272 | 0 | 0 |
| Afwijking | 1.00000000000895 | 1.0728367093466e-11 | 93210829877.176 | 0 | 0 |
| M1 | -451.374973246763 | 7.8658203192639e-09 | -57384348348.4255 | 0 | 0 |
| M2 | -635.461053318543 | 8.00346551310483e-09 | -79398237210.8736 | 0 | 0 |
| M3 | -583.133697990635 | 8.00567298372017e-09 | -72840059689.7299 | 0 | 0 |
| M4 | -694.55634264598 | 8.00459632708457e-09 | -86769690096.1589 | 0 | 0 |
| M5 | -555.478987323556 | 8.00303130001648e-09 | -69408573639.1425 | 0 | 0 |
| M6 | -609.464131985079 | 7.99899938447632e-09 | -76192546428.728 | 0 | 0 |
| M7 | -532.074276650652 | 7.99801773792654e-09 | -66525768519.812 | 0 | 0 |
| M8 | -515.434421316216 | 7.9973524028242e-09 | -64450632578.6262 | 0 | 0 |
| M9 | -460.857065991703 | 8.00529758051474e-09 | -57569011189.9713 | 0 | 0 |
| M10 | -319.717210650035 | 8.00195880036262e-09 | -39954868379.9206 | 0 | 0 |
| M11 | -118.389855330753 | 7.9964643085084e-09 | -14805275277.0725 | 0 | 0 |
| t | -1.76485533229450 | 3.34187552292189e-11 | -52810325225.7416 | 0 | 0 |
| Multiple Linear Regression - Regression Statistics | |
| Multiple R | 1 |
| R-squared | 1 |
| Adjusted R-squared | 1 |
| F-TEST (value) | 2.05719836745317e+21 |
| F-TEST (DF numerator) | 13 |
| F-TEST (DF denominator) | 155 |
| p-value | 0 |
| Multiple Linear Regression - Residual Statistics | |
| Residual Standard Deviation | 2.11534092573098e-08 |
| Sum Squared Residuals | 6.93573420971222e-14 |
