Multiple Linear Regression - Estimated Regression Equation |
Brutoloonindex[t] = + 19.7756091235265 -0.00154280892764273FallBelg[t] + 0.732769695289517wgbijdrage[t] + 0.0244785764196066`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) | 19.7756091235265 | 11.013638 | 1.7956 | 0.087691 | 0.043846 |
FallBelg | -0.00154280892764273 | 0.002583 | -0.5972 | 0.557058 | 0.278529 |
wgbijdrage | 0.732769695289517 | 0.055427 | 13.2204 | 0 | 0 |
`brutoomzetindex ` | 0.0244785764196066 | 0.02683 | 0.9124 | 0.372445 | 0.186223 |
Multiple Linear Regression - Regression Statistics | |
Multiple R | 0.949722302829804 |
R-squared | 0.901972452492345 |
Adjusted R-squared | 0.887268320366197 |
F-TEST (value) | 61.3414273453363 |
F-TEST (DF numerator) | 3 |
F-TEST (DF denominator) | 20 |
p-value | 2.89352097837536e-10 |
Multiple Linear Regression - Residual Statistics | |
Residual Standard Deviation | 3.57849071687472 |
Sum Squared Residuals | 256.111916215171 |
Multiple Linear Regression - Actuals, Interpolation, and Residuals | |||
Time or Index | Actuals | Interpolation Forecast | Residuals Prediction Error |
1 | 77.405 | 84.3755651692512 | -6.97056516925118 |
2 | 85.056 | 81.8808512074346 | 3.17514879256539 |
3 | 90.088 | 89.4030610503491 | 0.684938949650912 |
4 | 99.285 | 102.664851965232 | -3.37985196523167 |
5 | 80.428 | 83.935145600301 | -3.5071456003011 |
6 | 88.017 | 83.7817065199413 | 4.23529348005869 |
7 | 93.489 | 90.9372394386848 | 2.55176056131524 |
8 | 103.961 | 104.79932636958 | -0.838326369580266 |
9 | 82.591 | 85.9657882529537 | -3.37478825295371 |
10 | 90.913 | 85.958352830721 | 4.95464716927902 |
11 | 96.787 | 94.3934438677785 | 2.39355613222147 |
12 | 106.045 | 106.102270480676 | -0.0572704806764468 |
13 | 84.752 | 86.7655163108118 | -2.01351631081186 |
14 | 94.173 | 98.4135844779564 | -4.24058447795645 |
15 | 97.733 | 99.2137836429785 | -1.48078364297851 |
16 | 108.499 | 110.318159222393 | -1.81915922239328 |
17 | 87.972 | 91.3499182879486 | -3.37791828794862 |
18 | 96.091 | 92.0472934473969 | 4.04370655260309 |
19 | 101.846 | 99.3447777269212 | 2.5012222730788 |
20 | 115.652 | 114.937655783108 | 0.714344216892131 |
21 | 91.269 | 93.7631588809647 | -2.49415888096471 |
22 | 100.911 | 95.0193515632329 | 5.89164843676713 |
23 | 105.248 | 104.558196195227 | 0.689803804773342 |
24 | 118.681 | 116.963001708157 | 1.71799829184259 |