| Multiple Linear Regression - Estimated Regression Equation |
| broodprijs[t] = + 1.43142857142857 -0.0511757825937385dummy1[t] + 0.0625714285714296`dummy2+`[t] + 0.00359133126934983trend[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) | 1.43142857142857 | 0.010325 | 138.6396 | 0 | 0 |
| dummy1 | -0.0511757825937385 | 0.064403 | -0.7946 | 0.430188 | 0.215094 |
| `dummy2+` | 0.0625714285714296 | 0.01131 | 5.5323 | 1e-06 | 0 |
| trend | 0.00359133126934983 | 0.001241 | 2.8938 | 0.005414 | 0.002707 |
| Multiple Linear Regression - Regression Statistics | |
| Multiple R | 0.935132321971229 |
| R-squared | 0.874472459595302 |
| Adjusted R-squared | 0.867747769930764 |
| F-TEST (value) | 130.039080346982 |
| F-TEST (DF numerator) | 3 |
| F-TEST (DF denominator) | 56 |
| p-value | 0 |
| Multiple Linear Regression - Residual Statistics | |
| Residual Standard Deviation | 0.0273168933171911 |
| Sum Squared Residuals | 0.0417879089881567 |
| Multiple Linear Regression - Actuals, Interpolation, and Residuals | |||
| Time or Index | Actuals | Interpolation Forecast | Residuals Prediction Error |
| 1 | 1.43 | 1.43142857142858 | -0.00142857142857812 |
| 2 | 1.43 | 1.43142857142857 | -0.00142857142857023 |
| 3 | 1.43 | 1.43142857142857 | -0.00142857142857008 |
| 4 | 1.43 | 1.43142857142857 | -0.00142857142857041 |
| 5 | 1.43 | 1.43142857142857 | -0.00142857142857038 |
| 6 | 1.43 | 1.43142857142857 | -0.00142857142857038 |
| 7 | 1.44 | 1.43142857142857 | 0.00857142857142964 |
| 8 | 1.48 | 1.494 | -0.014 |
| 9 | 1.48 | 1.494 | -0.014 |
| 10 | 1.48 | 1.494 | -0.014 |
| 11 | 1.48 | 1.494 | -0.014 |
| 12 | 1.48 | 1.494 | -0.014 |
| 13 | 1.48 | 1.494 | -0.014 |
| 14 | 1.48 | 1.494 | -0.014 |
| 15 | 1.48 | 1.494 | -0.014 |
| 16 | 1.48 | 1.494 | -0.014 |
| 17 | 1.48 | 1.494 | -0.014 |
| 18 | 1.48 | 1.494 | -0.014 |
| 19 | 1.48 | 1.494 | -0.014 |
| 20 | 1.48 | 1.494 | -0.014 |
| 21 | 1.48 | 1.494 | -0.014 |
| 22 | 1.48 | 1.494 | -0.014 |
| 23 | 1.48 | 1.494 | -0.014 |
| 24 | 1.48 | 1.494 | -0.014 |
| 25 | 1.48 | 1.494 | -0.014 |
| 26 | 1.48 | 1.494 | -0.014 |
| 27 | 1.48 | 1.494 | -0.014 |
| 28 | 1.48 | 1.494 | -0.014 |
| 29 | 1.48 | 1.494 | -0.014 |
| 30 | 1.48 | 1.494 | -0.014 |
| 31 | 1.48 | 1.494 | -0.014 |
| 32 | 1.48 | 1.494 | -0.014 |
| 33 | 1.48 | 1.494 | -0.014 |
| 34 | 1.48 | 1.494 | -0.014 |
| 35 | 1.48 | 1.494 | -0.014 |
| 36 | 1.48 | 1.494 | -0.014 |
| 37 | 1.48 | 1.494 | -0.014 |
| 38 | 1.57 | 1.494 | 0.076 |
| 39 | 1.58 | 1.494 | 0.086 |
| 40 | 1.58 | 1.494 | 0.086 |
| 41 | 1.58 | 1.494 | 0.086 |
| 42 | 1.58 | 1.494 | 0.086 |
| 43 | 1.59 | 1.59725146198830 | -0.0072514619883041 |
| 44 | 1.6 | 1.60084279325765 | -0.000842793257653928 |
| 45 | 1.6 | 1.60443412452700 | -0.00443412452700376 |
| 46 | 1.61 | 1.60802545579635 | 0.00197454420364642 |
| 47 | 1.61 | 1.61161678706570 | -0.00161678706570341 |
| 48 | 1.61 | 1.61520811833505 | -0.00520811833505324 |
| 49 | 1.62 | 1.61879944960440 | 0.00120055039559694 |
| 50 | 1.63 | 1.62239078087375 | 0.00760921912624689 |
| 51 | 1.63 | 1.62598211214310 | 0.00401788785689706 |
| 52 | 1.64 | 1.62957344341245 | 0.0104265565875472 |
| 53 | 1.64 | 1.63316477468180 | 0.00683522531819741 |
| 54 | 1.64 | 1.63675610595115 | 0.00324389404884758 |
| 55 | 1.64 | 1.64034743722050 | -0.000347437220502254 |
| 56 | 1.64 | 1.64393876848985 | -0.00393876848985208 |
| 57 | 1.65 | 1.6475300997592 | 0.00246990024079810 |
| 58 | 1.65 | 1.65112143102855 | -0.00112143102855174 |
| 59 | 1.65 | 1.65471276229790 | -0.00471276229790157 |
| 60 | 1.65 | 1.65830409356725 | -0.0083040935672514 |
