Multiple Linear Regression - Estimated Regression Equation |
Prod[t] = + 27.4744598687837 + 0.594073355286528Tot[t] -0.900469014278283Conjun[t] -0.174035113286912Mach[t] + 0.27617796977481`Elek `[t] + 1.48514691753448M1[t] + 0.941688379550246M2[t] + 2.16562533561343M3[t] + 5.1889958036742M4[t] + 3.27580560303855M5[t] + 6.75941325447884M6[t] -7.59023340780786M7[t] + 6.0747418129244M8[t] + 8.68269632502206M9[t] + 10.4660625083265M10[t] + 6.48427475697439M11[t] + 0.0154713738943704t + 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) | 27.4744598687837 | 9.410858 | 2.9194 | 0.004859 | 0.002429 |
Tot | 0.594073355286528 | 0.170605 | 3.4822 | 0.00091 | 0.000455 |
Conjun | -0.900469014278283 | 2.050672 | -0.4391 | 0.662085 | 0.331042 |
Mach | -0.174035113286912 | 0.113368 | -1.5351 | 0.129759 | 0.064879 |
`Elek ` | 0.27617796977481 | 0.117704 | 2.3464 | 0.022116 | 0.011058 |
M1 | 1.48514691753448 | 2.910455 | 0.5103 | 0.611639 | 0.305819 |
M2 | 0.941688379550246 | 2.861187 | 0.3291 | 0.743153 | 0.371576 |
M3 | 2.16562533561343 | 2.805252 | 0.772 | 0.443007 | 0.221503 |
M4 | 5.1889958036742 | 2.667423 | 1.9453 | 0.056202 | 0.028101 |
M5 | 3.27580560303855 | 2.61039 | 1.2549 | 0.214147 | 0.107073 |
M6 | 6.75941325447884 | 2.886125 | 2.342 | 0.022353 | 0.011177 |
M7 | -7.59023340780786 | 2.807738 | -2.7033 | 0.008814 | 0.004407 |
M8 | 6.0747418129244 | 3.127472 | 1.9424 | 0.056564 | 0.028282 |
M9 | 8.68269632502206 | 3.066564 | 2.8314 | 0.006214 | 0.003107 |
M10 | 10.4660625083265 | 2.976712 | 3.516 | 0.000818 | 0.000409 |
M11 | 6.48427475697439 | 2.981425 | 2.1749 | 0.0334 | 0.0167 |
t | 0.0154713738943704 | 0.049602 | 0.3119 | 0.756137 | 0.378068 |
Multiple Linear Regression - Regression Statistics | |
Multiple R | 0.958455806196206 |
R-squared | 0.918637532431219 |
Adjusted R-squared | 0.897974048604227 |
F-TEST (value) | 44.4570499400122 |
F-TEST (DF numerator) | 16 |
F-TEST (DF denominator) | 63 |
p-value | 0 |
Multiple Linear Regression - Residual Statistics | |
Residual Standard Deviation | 4.21761989889206 |
Sum Squared Residuals | 1120.66400952641 |
Multiple Linear Regression - Actuals, Interpolation, and Residuals | |||
Time or Index | Actuals | Interpolation Forecast | Residuals Prediction Error |
1 | 97.3 | 99.9464654707617 | -2.64646547076166 |
2 | 101 | 101.689920523275 | -0.689920523274765 |
3 | 113.2 | 115.072473642389 | -1.87247364238852 |
4 | 101 | 103.943181949385 | -2.94318194938462 |
5 | 105.7 | 107.503453733521 | -1.80345373352119 |
6 | 113.9 | 115.112676016376 | -1.21267601637615 |
7 | 86.4 | 80.015814344312 | 6.38418565568793 |
8 | 96.5 | 91.63973644116 | 4.86026355883995 |
9 | 103.3 | 108.287923598004 | -4.98792359800426 |
10 | 114.9 | 114.649009551556 | 0.250990448444123 |
11 | 105.8 | 107.617207358914 | -1.81720735891421 |
12 | 94.2 | 97.116677852328 | -2.91667785232806 |
13 | 98.4 | 95.1387580249967 | 3.26124197500335 |
14 | 99.4 | 97.7595705070447 | 1.64042949295529 |
15 | 108.8 | 108.629363493477 | 0.170636506523263 |
16 | 112.6 | 109.419718217477 | 3.18028178252276 |
17 | 104.4 | 106.344512254108 | -1.94451225410791 |
18 | 112.2 | 117.186910100135 | -4.98691010013454 |
19 | 81.1 | 84.0839784976118 | -2.98397849761182 |
20 | 97.1 | 93.3489570137545 | 3.75104298624553 |
21 | 112.6 | 113.501075953644 | -0.901075953643509 |
22 | 113.8 | 120.863117493353 | -7.06311749335305 |
23 | 107.8 | 106.460680456513 | 1.33931954348662 |
24 | 103.2 | 97.1489245562177 | 6.05107544378226 |
25 | 103.3 | 95.6819220852994 | 7.61807791470059 |
26 | 101.2 | 98.2618471213016 | 2.9381528786984 |
27 | 107.7 | 104.829123454865 | 2.87087654513516 |
28 | 110.4 | 103.975386238242 | 6.42461376175782 |
29 | 101.9 | 103.307198626419 | -1.40719862641916 |
30 | 115.9 | 114.360942621436 | 1.53905737856404 |
31 | 89.9 | 85.9067647618848 | 3.99323523811523 |
32 | 88.6 | 88.1282065278777 | 0.4717934721223 |
33 | 117.2 | 111.227668962787 | 5.97233103721315 |
34 | 123.9 | 114.69398538343 | 9.20601461657009 |
35 | 100 | 104.191255810663 | -4.19125581066347 |
36 | 103.6 | 104.611906209527 | -1.01190620952737 |
37 | 94.1 | 95.0353548277077 | -0.935354827707715 |
38 | 98.7 | 98.706496292179 | -0.00649629217911918 |
39 | 119.5 | 115.787505272541 | 3.71249472745938 |
40 | 112.7 | 113.501970925708 | -0.801970925707587 |
41 | 104.4 | 104.998225071626 | -0.598225071625923 |
42 | 124.7 | 120.978758738953 | 3.72124126104663 |
43 | 89.1 | 87.5146604578774 | 1.58533954212256 |
44 | 97 | 105.247281739541 | -8.24728173954143 |
45 | 121.6 | 120.277335861110 | 1.32266413888951 |
46 | 118.8 | 120.332819739776 | -1.53281973977630 |
47 | 114 | 110.694517386978 | 3.3054826130219 |
48 | 111.5 | 109.467823722653 | 2.03217627734731 |
49 | 97.2 | 101.208794810194 | -4.00879481019360 |
50 | 102.5 | 105.172340770713 | -2.67234077071301 |
51 | 113.4 | 118.555301298810 | -5.15530129880965 |
52 | 109.8 | 113.914936406828 | -4.11493640682837 |
53 | 104.9 | 105.913727807735 | -1.01372780773466 |
54 | 126.1 | 130.561198340229 | -4.46119834022851 |
55 | 80 | 84.7691997625799 | -4.76919976257989 |
56 | 96.8 | 100.705435912215 | -3.90543591221513 |
57 | 117.2 | 120.509699143424 | -3.3096991434235 |
58 | 112.3 | 115.583414908589 | -3.28341490858865 |
59 | 117.3 | 120.916498499411 | -3.6164984994108 |
60 | 111.1 | 115.064980101844 | -3.9649801018442 |
61 | 102.2 | 105.992195777824 | -3.7921957778237 |
62 | 104.3 | 109.213682872187 | -4.91368287218674 |
63 | 122.9 | 125.859648263471 | -2.95964826347137 |
64 | 107.6 | 111.868086806317 | -4.26808680631702 |
65 | 121.3 | 121.704888311742 | -0.404888311741646 |
66 | 131.5 | 133.052245352348 | -1.55224535234832 |
67 | 89 | 90.322195106607 | -1.32219510660698 |
68 | 104.4 | 105.324367476654 | -0.924367476654207 |
69 | 128.9 | 126.996296481031 | 1.9037035189686 |
70 | 135.9 | 133.477652923296 | 2.42234707670379 |
71 | 133.3 | 128.31984048752 | 4.98015951247997 |
72 | 121.3 | 121.48968755743 | -0.189687557429956 |
73 | 120.5 | 119.996509003217 | 0.503490996782732 |
74 | 120.4 | 116.6961419133 | 3.70385808669995 |
75 | 137.9 | 134.666584574448 | 3.23341542555173 |
76 | 126.1 | 123.576719456043 | 2.52328054395701 |
77 | 133.2 | 126.027994194849 | 7.17200580515049 |
78 | 146.6 | 139.647268830523 | 6.95273116947685 |
79 | 103.4 | 106.287387069127 | -2.88738706912703 |
80 | 117.2 | 113.206014888797 | 3.99398511120298 |