Multiple Linear Regression - Estimated Regression Equation |
inflatie[t] = + 40.7377099127032 + 0.962899381855201gezondheidsindex[t] -1.28355435732012afgevlakte_index[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) | 40.7377099127032 | 7.764026 | 5.247 | 0.000375 | 0.000188 |
gezondheidsindex | 0.962899381855201 | 0.240593 | 4.0022 | 0.002509 | 0.001255 |
afgevlakte_index | -1.28355435732012 | 0.219177 | -5.8563 | 0.00016 | 8e-05 |
Multiple Linear Regression - Regression Statistics | |
Multiple R | 0.937381835487468 |
R-squared | 0.878684705501854 |
Adjusted R-squared | 0.854421646602225 |
F-TEST (value) | 36.2149187015857 |
F-TEST (DF numerator) | 2 |
F-TEST (DF denominator) | 10 |
p-value | 2.62771211948509e-05 |
Multiple Linear Regression - Residual Statistics | |
Residual Standard Deviation | 0.199863437626663 |
Sum Squared Residuals | 0.399453936999472 |
Multiple Linear Regression - Actuals, Interpolation, and Residuals | |||
Time or Index | Actuals | Interpolation Forecast | Residuals Prediction Error |
1 | 3.57 | 3.56762811522933 | 0.00237188477066889 |
2 | 3.85 | 3.73459297178157 | 0.115407028218427 |
3 | 3.49 | 3.52925230827416 | -0.0392523082741574 |
4 | 3.65 | 3.74441820124682 | -0.094418201246818 |
5 | 3.66 | 3.78309303394929 | -0.123093033949293 |
6 | 3.37 | 3.30818726629547 | 0.0618127337045307 |
7 | 3.18 | 2.8140141664499 | 0.365985833550095 |
8 | 2.81 | 2.68569610893632 | 0.124303891063678 |
9 | 2.26 | 2.52842565808483 | -0.268425658084829 |
10 | 2.32 | 2.66645681040841 | -0.346456810408413 |
11 | 2.86 | 2.76278412681237 | 0.0972158731876324 |
12 | 2.76 | 2.69540920374631 | 0.0645907962536902 |
13 | 2.79 | 2.75004202878521 | 0.0399579712147872 |