Multiple Linear Regression - Estimated Regression Equation |
jaar[t] = + 1281.08536670713 -0.000982971010203896gezondheid[t] + 10.9984469058043beroepsactiviteit[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) | 1281.08536670713 | 99.090948 | 12.9284 | 0 | 0 |
gezondheid | -0.000982971010203896 | 0.049572 | -0.0198 | 0.984505 | 0.492253 |
beroepsactiviteit | 10.9984469058043 | 1.502019 | 7.3224 | 9e-06 | 5e-06 |
Multiple Linear Regression - Regression Statistics | |
Multiple R | 0.904197735616488 |
R-squared | 0.817573545093984 |
Adjusted R-squared | 0.787169135942982 |
F-TEST (value) | 26.8899665516778 |
F-TEST (DF numerator) | 2 |
F-TEST (DF denominator) | 12 |
p-value | 3.68575880247413e-05 |
Multiple Linear Regression - Residual Statistics | |
Residual Standard Deviation | 1.36928396043767 |
Sum Squared Residuals | 22.4992627717424 |
Multiple Linear Regression - Actuals, Interpolation, and Residuals | |||
Time or Index | Actuals | Interpolation Forecast | Residuals Prediction Error |
1 | 2008 | 2007.98981642033 | 0.0101835796665996 |
2 | 2008 | 2007.99365000727 | 0.00634999272569568 |
3 | 2008 | 2007.99935123913 | 0.000648760866510678 |
4 | 2008 | 2008.00859116663 | -0.00859116662940328 |
5 | 2008 | 2008.00859116663 | -0.00859116662940328 |
6 | 2004 | 2002.49137934424 | 1.50862065575949 |
7 | 2004 | 2002.49560611958 | 1.50439388041561 |
8 | 2004 | 2002.49993119203 | 1.50006880797071 |
9 | 2004 | 2002.50494434418 | 1.49505565581867 |
10 | 2004 | 2002.50838474272 | 1.49161525728296 |
11 | 2001 | 2002.49265720655 | -1.49265720655378 |
12 | 2001 | 2002.49285380076 | -1.49285380075582 |
13 | 2001 | 2002.49826014131 | -1.49826014131194 |
14 | 2001 | 2002.50474774998 | -1.50474774997928 |
15 | 2001 | 2002.51123535865 | -1.51123535864663 |