Multiple Linear Regression - Estimated Regression Equation
Prod[t] = + 799.47445598441 -2.26997272111808Werkl[t] -15.4298983271748M1[t] -10.0415966195063M2[t] + 18.0761867894057M3[t] -57.1149074568893M4[t] -58.290902316463M5[t] -25.2285475961726M6[t] -51.937549094269M7[t] -42.6129379524887M8[t] -17.4585723206456M9[t] -24.3548984374369M10[t] -16.9687985934948M11[t] + 1.60916321607065t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)799.4744559844184.5957989.450500
Werkl-2.269972721118080.653062-3.47590.0011220.000561
M1-15.429898327174819.689126-0.78370.4372470.218623
M2-10.041596619506320.6679-0.48590.6293770.314688
M318.076186789405715.6093221.1580.2528260.126413
M4-57.114907456889317.959417-3.18020.0026340.001317
M5-58.29090231646317.552113-3.3210.0017630.000881
M6-25.228547596172615.385714-1.63970.1078820.053941
M7-51.93754909426918.52223-2.80410.0073670.003683
M8-42.612937952488718.163789-2.3460.0233390.01167
M9-17.458572320645615.609036-1.11850.2691640.134582
M10-24.354898437436915.813885-1.54010.1303890.065194
M11-16.968798593494815.263641-1.11170.2720380.136019
t1.609163216070650.1840388.743700


Multiple Linear Regression - Regression Statistics
Multiple R0.860766387238483
R-squared0.74091877339959
Adjusted R-squared0.667700165882082
F-TEST (value)10.1192688378078
F-TEST (DF numerator)13
F-TEST (DF denominator)46
p-value1.47951073614649e-09
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation24.0872167020129
Sum Squared Residuals26688.9243886876


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1581550.71154423758530.2884557624147
2597555.21203916809341.7879608319066
3587553.15936769742333.8406323025773
4536507.49810113695128.5018988630492
5524497.94338952052826.0566104794718
6537507.87220479670229.1277952032979
7536515.91396824320.0860317569997
8533525.485758968187.51424103181953
9528511.38977883596916.6102211640312
10516533.569285860777-17.5692858607769
11502506.925977199236-4.92597719923579
12506521.6449853829-15.6449853829003
13518567.29753556509-49.2975355650901
14534550.460286917089-16.4602869170893
15528559.076487235674-31.0764872356738
16478513.18822340309-35.1882234030901
17469479.117806398592-10.1178063985922
18490529.452136110668-39.452136110668
19493511.389213264108-18.3892132641082
20508521.868993077736-13.8689930777356
21517542.50359557863-25.5035955786305
22514526.774558160767-12.7745581607668
23510520.7880012614-10.7880012614002
24527563.200676642706-36.2006766427055
25542565.042753307316-23.0427533073161
26565576.807160945403-11.8071609454033
27555572.711514025726-17.7115140257264
28499522.283304750906-23.2833047509065
29511533.61234216877-22.6123421687703
30526528.105342941341-2.10534294134123
31532539.552065469317-7.55206546931661
32549545.718897112823.2811028871804
33561563.856529620485-2.85652962048465
34557544.2685385767212.7314614232799
35566544.63790529648421.3620947035158
36588566.84782345983821.1521765401615
37620587.53067370972932.4693262902708
38626619.9518331099916.04816689000898
39620599.0583880540420.9416119459597
40573537.05331790151835.9466820984818
41573559.5052216528613.4947783471394
42574545.37232608518328.6276739148172
43580561.58599132750618.4140086724939
44590575.69772749492214.3022725050776
45593590.6573981930222.34260180697787
46597577.19833349627619.8016665037235
47595592.0955256311962.90447436880373
48612587.74676295746924.2532370425310
49628618.4174931802799.58250681972072
50629648.568679859423-19.568679859423
51621626.994242987137-5.99424298713684
52569574.977052807534-5.97705280753435
53567573.821240259249-6.82124025924866
54573589.197990066106-16.1979900661059
55584596.558761696069-12.5587616960688
56589600.228623346342-11.2286233463419
57591581.5926977718949.40730222810607
58595597.18928390546-2.18928390545971
59594602.552590611684-8.55259061168358
60611604.5597515570876.4402484429131


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
170.002766151105308280.005532302210616560.997233848894692
180.00883516175592980.01767032351185960.99116483824407
190.01132623395838460.02265246791676920.988673766041615
200.06260694889627690.1252138977925540.937393051103723
210.1549976697560100.3099953395120200.84500233024399
220.3825068209729400.7650136419458790.61749317902706
230.5507486739720110.8985026520559790.449251326027989
240.6259832484594610.7480335030810780.374016751540539
250.8319961728034340.3360076543931330.168003827196566
260.843378218706090.3132435625878210.156621781293910
270.8837525202577940.2324949594844130.116247479742206
280.9503613507946650.09927729841067070.0496386492053354
290.9720677816980.05586443660399870.0279322183019994
300.987218848751140.02556230249771910.0127811512488595
310.9952132190821170.009573561835766840.00478678091788342
320.9980073921911130.003985215617774780.00199260780888739
330.998741053833560.002517892332881830.00125894616644092
340.9999215312277650.0001569375444708677.84687722354333e-05
350.9999900694200691.98611598630301e-059.93057993151506e-06
360.9999999953389429.32211631474562e-094.66105815737281e-09
370.999999998601922.79616176650075e-091.39808088325037e-09
380.9999999913415131.73169750771443e-088.65848753857217e-09
390.9999999155518441.68896312635276e-078.44481563176382e-08
400.9999995933267048.13346592182642e-074.06673296091321e-07
410.9999990051134441.98977311308084e-069.94886556540421e-07
420.9999906992650171.86014699657421e-059.30073498287107e-06
430.9999962446433487.51071330340949e-063.75535665170474e-06


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level140.518518518518518NOK
5% type I error level170.62962962962963NOK
10% type I error level190.703703703703704NOK