Multiple Linear Regression - Estimated Regression Equation |
wgbijdrage[t] = -17.7466198261515 + 0.0028928026420282FallBelg[t] + 1.2245589325379Brutoloonindex[t] -0.0260378835520546`brutoomzetindex `[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) | -17.7466198261515 | 14.820229 | -1.1975 | 0.245128 | 0.122564 |
FallBelg | 0.0028928026420282 | 0.003306 | 0.8749 | 0.392016 | 0.196008 |
Brutoloonindex | 1.2245589325379 | 0.092626 | 13.2204 | 0 | 0 |
`brutoomzetindex ` | -0.0260378835520546 | 0.034916 | -0.7457 | 0.464506 | 0.232253 |
Multiple Linear Regression - Regression Statistics | |
Multiple R | 0.950043958228583 |
R-squared | 0.902583522566634 |
Adjusted R-squared | 0.887971050951629 |
F-TEST (value) | 61.7680257212482 |
F-TEST (DF numerator) | 3 |
F-TEST (DF denominator) | 20 |
p-value | 2.7189539508754e-10 |
Multiple Linear Regression - Residual Statistics | |
Residual Standard Deviation | 4.62600385285663 |
Sum Squared Residuals | 427.998232932889 |
Multiple Linear Regression - Actuals, Interpolation, and Residuals | |||
Time or Index | Actuals | Interpolation Forecast | Residuals Prediction Error |
1 | 82.145 | 75.041755949703 | 7.10324405029707 |
2 | 78.213 | 83.962145681916 | -5.74914568191597 |
3 | 88.099 | 89.1837322127505 | -1.08473221275047 |
4 | 106.25 | 101.066722752524 | 5.18327724747614 |
5 | 80.487 | 77.8534069582144 | 2.63359304178565 |
6 | 80.336 | 87.3360486415414 | -7.00004864154138 |
7 | 90.065 | 93.2564548472454 | -3.19145484724542 |
8 | 108.888 | 106.45082626119 | 2.43717373880951 |
9 | 82.747 | 80.1274661008834 | 2.61953389911655 |
10 | 82.213 | 89.8348265646727 | -7.62182656467268 |
11 | 93.41 | 95.9943679415498 | -2.58436794154978 |
12 | 109.465 | 108.142960272391 | 1.32203972760859 |
13 | 84.373 | 83.05150818253 | 1.32149181747004 |
14 | 98.715 | 93.3943814425905 | 5.32061855740951 |
15 | 99.646 | 97.016215722827 | 2.62978427717296 |
16 | 115.239 | 111.29554486894 | 3.94345513105997 |
17 | 89.082 | 85.8060990786334 | 3.27590092136659 |
18 | 89.934 | 95.9747508249188 | -6.04075082491884 |
19 | 99.957 | 102.502621516244 | -2.54562151624449 |
20 | 122.717 | 121.300215656592 | 1.41678434340793 |
21 | 95.895 | 93.2991074893927 | 2.59589251060729 |
22 | 97.085 | 104.501114977523 | -7.41611497752275 |
23 | 109.414 | 108.625720887707 | 0.788279112293167 |
24 | 126.945 | 126.302005167519 | 0.642994832480845 |