Multiple Linear Regression - Estimated Regression Equation |
Sociale_uitkeringen_in_$[t] = -38599575982.5991 -470382.573571658`#_werklozen_Vl.`[t] + 2401209.16313856`#_werklozen_Br.`[t] + 19099.8681407211`#_werklozen_Wa.`[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) | -38599575982.5991 | 54829386160.9031 | -0.704 | 0.507824 | 0.253912 |
`#_werklozen_Vl.` | -470382.573571658 | 181418.290428 | -2.5928 | 0.041057 | 0.020528 |
`#_werklozen_Br.` | 2401209.16313856 | 351853.182803 | 6.8245 | 0.000486 | 0.000243 |
`#_werklozen_Wa.` | 19099.8681407211 | 301618.084362 | 0.0633 | 0.951565 | 0.475782 |
Multiple Linear Regression - Regression Statistics | |
Multiple R | 0.955316369344932 |
R-squared | 0.912629365538382 |
Adjusted R-squared | 0.868944048307573 |
F-TEST (value) | 20.8909863402514 |
F-TEST (DF numerator) | 3 |
F-TEST (DF denominator) | 6 |
p-value | 0.00141029517107305 |
Multiple Linear Regression - Residual Statistics | |
Residual Standard Deviation | 8554816353.43077 |
Sum Squared Residuals | 4.39109297045559e+20 |
Multiple Linear Regression - Actuals, Interpolation, and Residuals | |||
Time or Index | Actuals | Interpolation Forecast | Residuals Prediction Error |
1 | 56373285000 | 63918576818.6991 | -7545291818.69912 |
2 | 71376666500 | 70675604963.2572 | 701061536.742793 |
3 | 82463769600 | 77127140257.5324 | 5336629342.46764 |
4 | 85658540800 | 81691704241.4864 | 3966836558.51363 |
5 | 89192328800 | 97835368954.2664 | -8643040154.26638 |
6 | 102035085000 | 106404186824.47 | -4369101824.46951 |
7 | 117207944700 | 107800204964.894 | 9407739735.10641 |
8 | 119301814800 | 109447775167.803 | 9854039632.19679 |
9 | 116206980300 | 123735521695.624 | -7528541395.62395 |
10 | 128906391600 | 130086723211.968 | -1180331611.96832 |