| Multiple Linear Regression - Estimated Regression Equation |
| Producten[t] = + 0.612086579111762 + 0.196270967804096Machines[t] + 0.101082982803162Electronics[t] + 0.151155540401199Medisch[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) | 0.612086579111762 | 0.571641 | 1.0708 | 0.288302 | 0.144151 |
| Machines | 0.196270967804096 | 0.087031 | 2.2552 | 0.02755 | 0.013775 |
| Electronics | 0.101082982803162 | 0.094776 | 1.0665 | 0.290185 | 0.145092 |
| Medisch | 0.151155540401199 | 0.048211 | 3.1353 | 0.002592 | 0.001296 |
| Multiple Linear Regression - Regression Statistics | |
| Multiple R | 0.553315703864187 |
| R-squared | 0.30615826814272 |
| Adjusted R-squared | 0.27363443696191 |
| F-TEST (value) | 9.41335190312273 |
| F-TEST (DF numerator) | 3 |
| F-TEST (DF denominator) | 64 |
| p-value | 3.07323357684464e-05 |
| Multiple Linear Regression - Residual Statistics | |
| Residual Standard Deviation | 4.56267090271832 |
| Sum Squared Residuals | 1332.34980905679 |
| Multiple Linear Regression - Actuals, Interpolation, and Residuals | |||
| Time or Index | Actuals | Interpolation Forecast | Residuals Prediction Error |
| 1 | 0.65 | -1.09138367229942 | 1.74138367229942 |
| 2 | -1.53 | 1.35580372001652 | -2.88580372001652 |
| 3 | -3.36 | -0.351984789167067 | -3.00801521083293 |
| 4 | 10.51 | 5.15126647349144 | 5.35873352650856 |
| 5 | -1.02 | -0.66980258190295 | -0.350197418097050 |
| 6 | -2.68 | 1.76477983570422 | -4.44477983570422 |
| 7 | -9.75 | 4.42042462792562 | -14.1704246279256 |
| 8 | 3.64 | -1.42291770302617 | 5.06291770302617 |
| 9 | 9.5 | 1.33682901272828 | 8.16317098727172 |
| 10 | -0.33 | 6.30032011800066 | -6.63032011800066 |
| 11 | -0.99 | -0.0349152479333883 | -0.955084752066612 |
| 12 | 3.16 | -1.60580237731785 | 4.76580237731785 |
| 13 | 4.27 | -0.376346620565236 | 4.64634662056524 |
| 14 | -2.97 | 0.406321979457223 | -3.37632197945722 |
| 15 | -7.49 | -4.00403339933165 | -3.48596660066835 |
| 16 | 0.33 | 0.326811141582604 | 0.00318885841739619 |
| 17 | -2.57 | -0.261264209905115 | -2.30873579009489 |
| 18 | 4.07 | -0.440676743397 | 4.510676743397 |
| 19 | 5.31 | 1.44619764285765 | 3.86380235714235 |
| 20 | -8.09 | -3.24256609613464 | -4.84743390386536 |
| 21 | 5.29 | 4.09673316897627 | 1.19326683102373 |
| 22 | 7.38 | -2.11359417425812 | 9.49359417425812 |
| 23 | -6.12 | -0.394390847782105 | -5.7256091522179 |
| 24 | -3.38 | 3.36092214366931 | -6.7409221436693 |
| 25 | -8.61 | -0.235340296172335 | -8.37465970382766 |
| 26 | 2.58 | 0.160524200465118 | 2.41947579953488 |
| 27 | 10.02 | 7.50892853959169 | 2.51107146040831 |
| 28 | 7.08 | 4.76681718443908 | 2.31318281556092 |
| 29 | -2.75 | 0.271186936811239 | -3.02118693681124 |
| 30 | 3.42 | -0.0711138241046605 | 3.49111382410466 |
| 31 | -1.6 | 3.67208657466297 | -5.27208657466297 |
| 32 | 0.65 | 2.30652539783093 | -1.65652539783093 |
| 33 | 2.86 | 1.701099634409 | 1.158900365591 |
| 34 | -3.52 | -6.81699796504326 | 3.29699796504326 |
| 35 | 5.65 | 0.190562447760764 | 5.45943755223924 |
| 36 | 4.31 | 7.70089745529757 | -3.39089745529757 |
| 37 | -4.39 | -1.14111931498595 | -3.24888068501405 |
| 38 | -5.85 | -2.08274645600372 | -3.76725354399628 |
| 39 | -5.47 | -4.45389570268176 | -1.01610429731824 |
| 40 | -2.3 | -2.15831306977405 | -0.141686930225946 |
| 41 | -0.14 | 2.26143497370904 | -2.40143497370904 |
| 42 | 8.08 | 5.06516871665233 | 3.01483128334767 |
| 43 | -7.43 | -5.05846268825667 | -2.37153731174333 |
| 44 | 0.02 | -1.88350531137286 | 1.90350531137286 |
| 45 | -2.47 | 1.28249259201867 | -3.75249259201867 |
| 46 | -2.11 | -0.950505788501764 | -1.15949421149824 |
| 47 | 7.87 | 6.4537423230029 | 1.41625767699710 |
| 48 | 4.66 | 3.90372393342766 | 0.756276066572336 |
| 49 | 3.6 | 1.85767874201970 | 1.74232125798030 |
| 50 | -3.64 | -0.81286200839597 | -2.82713799160403 |
| 51 | 7.26 | 4.34830093158539 | 2.91169906841461 |
| 52 | -7.62 | -0.0833346115319431 | -7.53666538846806 |
| 53 | 13.83 | 4.93601748695164 | 8.89398251304836 |
| 54 | 1.28 | 2.76741996092416 | -1.48741996092416 |
| 55 | -0.32 | -3.58139630257603 | 3.26139630257603 |
| 56 | -2.9 | 0.250218888427715 | -3.15021888842772 |
| 57 | 4.92 | 1.02942061837110 | 3.8905793816289 |
| 58 | 11.99 | 4.57093626156922 | 7.41906373843078 |
| 59 | 10.06 | 2.27713863784001 | 7.78286136215999 |
| 60 | -2.22 | 1.55518512848798 | -3.77518512848798 |
| 61 | 3.97 | 3.88174428554371 | 0.0882557144562938 |
| 62 | 0.56 | -1.19385231671455 | 1.75385231671455 |
| 63 | 3.34 | 1.77938968731478 | 1.56061031268522 |
| 64 | -2.86 | -1.3616801834354 | -1.4983198165646 |
| 65 | 4.38 | 0.0178817976129109 | 4.36211820238709 |
| 66 | 1.43 | -0.880136543166265 | 2.31013654316626 |
| 67 | -0.49 | 1.84448411305145 | -2.33448411305145 |
| 68 | -1.23 | 0.177523531549388 | -1.40752353154939 |
