Multiple Linear Regression - Estimated Regression Equation
Werkl[t] = + 595.887010189059 + 4.88997446557133HICP[t] + 0.545185974417899Consvertr[t] -29.9079834813728Rente[t] -0.275973378579395M1[t] -6.15285583451863M2[t] -15.916572621096M3[t] -22.7610629200787M4[t] -33.4316347249648M5[t] -32.0713375490233M6[t] + 23.8141590604126M7[t] + 35.1335939091082M8[t] + 25.8334153518013M9[t] + 11.4828238869186M10[t] -6.8250747522263M11[t] + 0.261359976004442t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)595.88701018905914.90656439.974800
HICP4.889974465571332.5087271.94920.0537080.026854
Consvertr0.5451859744178990.4018271.35680.1775130.088756
Rente-29.90798348137283.313528-9.02600
M1-0.27597337857939512.979051-0.02130.9830730.491536
M2-6.1528558345186312.978039-0.47410.6363290.318165
M3-15.91657262109612.959416-1.22820.2218850.110942
M4-22.761062920078712.971826-1.75470.0819820.040991
M5-33.431634724964812.948771-2.58180.0110840.005542
M6-32.071337549023312.991442-2.46870.0150330.007516
M723.814159060412612.9537421.83840.0685840.034292
M835.133593909108212.995642.70350.0079030.003951
M925.833415351801312.9793531.99030.0489250.024462
M1011.482823886918612.9401970.88740.3767280.188364
M11-6.825074752226312.935689-0.52760.5987820.299391
t0.2613599760044420.0935942.79250.0061270.003064


Multiple Linear Regression - Regression Statistics
Multiple R0.829564855855492
R-squared0.688177850070544
Adjusted R-squared0.647505395731919
F-TEST (value)16.9199980984922
F-TEST (DF numerator)15
F-TEST (DF denominator)115
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation29.5591799724786
Sum Squared Residuals100480.688874219


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1493512.522112451796-19.5221124517957
2481510.51823942764-29.5182394276395
3462499.276966995112-37.2769669951116
4457486.983538117209-29.9835381172086
5442470.430593673773-28.4305936737727
6439465.309733400603-26.3097334006030
7488509.822133544573-21.8221335445727
8521531.840440330555-10.8404403305548
9501514.498497265187-13.4984972651874
10485495.141420638035-10.1414206380349
11464475.599482800826-11.5994828008257
12460479.808121377574-19.8081213775744
13467477.236143686492-10.2361436864923
14460467.916696441354-7.91669644135374
15448456.402161316692-8.40216131669155
16443451.061269221942-8.06126922194154
17436446.714409478007-10.7144094780075
18431450.784893836324-19.7848938363241
19484505.95375552865-21.9537555286502
20510514.185893950821-4.18589395082097
21513513.790019193936-0.790019193935528
22503502.6231633356630.376836664337294
23471492.673757381588-21.6737573815876
24471510.377164434504-39.3771644345039
25476517.112837532197-41.112837532197
26475512.098689554541-37.0986895545408
27470503.141518718386-33.1415187183858
28461491.067039427558-30.0670394275575
29455480.22501867998-25.2250186799795
30456478.367505178165-22.3675051781648
31517535.436168128859-18.4361681288587
32525546.904585897837-21.9045858978372
33523537.376769869978-14.3767698699775
34519523.776535827657-4.77653582765648
35509504.2068162969844.79318370301618
36512522.053695413206-10.0536954132063
37519523.995696937794-4.99569693779358
38517518.155420346416-1.15542034641575
39510512.397727806585-2.39772780658504
40509510.148303585486-1.14830358548638
41501497.8954790260983.10452097390229
42507513.869128275518-6.86912827551767
43569570.882227839284-1.88222783928450
44580584.531389505935-4.53138950593459
45578579.252684217697-1.25268421769661
46565558.2446006449686.75539935503198
47547547.060725537817-0.0607255378171452
48555553.6581628194911.34183718050922
49562553.8121150004988.1878849995019
50561548.30896957628512.6910304237151
51555536.73824592376218.2617540762381
52544533.03291175226610.9670882477344
53537524.95631010044812.0436898995520
54543527.89309331267315.1069066873271
55594582.34820344699911.6517965530012
56611594.53037277397816.4696272260225
57613584.51355929956128.4864407004393
58611572.64456093202538.3554390679749
59594552.09684650823841.9031534917618
60595557.77247742465837.2275225753417
61591558.2468614686432.7531385313595
62589555.73388925163133.2661107483692
63584549.22170564826134.7782943517385
64573539.04702761580133.9529723841991
65567524.87770249385542.1222975061453
66569528.45534943202940.5446505679708
67621584.6022060174736.3977939825304
68629597.70618170970231.2938182902982
69628586.97561667728541.0243833227152
70612572.24552146245739.754478537543
71595554.14279427145640.8572057285443
72597559.57428359905537.4257164009445
73593560.54409475489732.4559052451028
74590554.38338630054435.6166136994555
75580534.329890191145.6701098088995
76574528.752536454745.2474635453
77573518.23094757009754.7690524299032
78573516.37923859265156.6207614073492
79620568.74721954858351.252780451417
80626574.45557990007951.5444200999211
81620561.36721268885258.6327873111482
82588543.39637301269744.6036269873025
83566523.87900203630142.1209979636993
84557522.36064275393534.6393572460647
85561520.91646320310640.0835367968939
86549516.88031011856432.1196898814357
87532501.8013838369530.1986161630504
88526493.86301308908832.1369869109123
89511481.0088140274229.9911859725796
90499477.59908768274321.4009123172574
91555529.6647739712125.3352260287901
92565540.21138537493524.7886146250651
93542532.1505616867479.84943831325336
94527522.5184957447434.4815042552566
95510504.0786373865785.92136261342247
96514514.323810905594-0.323810905594131
97517515.1748153404121.82518465958813
98508511.683848230288-3.68384823028793
99493506.093470992172-13.0934709921721
100490495.862604431851-5.86260443185077
101469489.252995119705-20.2529951197046
102478493.207262448715-15.2072624487147
103528543.36930750523-15.3693075052293
104534551.501928202283-17.5019282022834
105518544.042479016374-26.0424790163739
106506530.543012981037-24.5430129810369
107502518.395976215648-16.3959762156478
108516541.440214720359-25.4402147203590
109528554.377059242335-26.3770592423347
110533554.87427285084-21.8742728508396
111536549.183663618691-13.1836636186907
112537554.647696909586-17.6476969095858
113524548.052822350846-24.0528223508456
114536548.999404418076-12.999404418076
115587602.268464852034-15.2684648520343
116597622.010349988813-25.0103499888131
117581611.504539067839-30.5045390678392
118564597.3591190511-33.3591190511002
119558584.80392935581-26.8039293558097
120575590.631426551622-15.6314265516224
121580593.061800381833-13.0618003818330
122575587.446277901898-12.4462779018983
123563584.41326495229-21.4132649522896
124552581.534059394515-29.5340593945151
125537570.354907479772-33.3549074797724
126545575.135303422504-30.1353034225042
127601630.905539617109-29.905539617109
128604644.121892365063-40.1218923650628
129586637.528061016546-51.5280610165459
130564625.507196369618-61.5071963696178
131549608.062032208756-59.062032208756


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
190.0005302870463323870.001060574092664770.999469712953668
200.0003057666294760070.0006115332589520140.999694233370524
210.0001133857980530960.0002267715961061910.999886614201947
221.801453055158e-053.602906110316e-050.999981985469448
231.0486137755578e-052.0972275511156e-050.999989513862244
242.09223779202055e-064.18447558404111e-060.999997907762208
254.25883013823545e-078.5176602764709e-070.999999574116986
268.25146851985284e-081.65029370397057e-070.999999917485315
276.86884632922941e-081.37376926584588e-070.999999931311537
281.54960593929586e-083.09921187859171e-080.99999998450394
293.47298940621513e-096.94597881243025e-090.99999999652701
308.1835033535871e-101.63670067071742e-090.99999999918165
315.74469530078701e-091.14893906015740e-080.999999994255305
326.45654608025006e-091.29130921605001e-080.999999993543454
332.14491891376320e-094.28983782752640e-090.999999997855081
349.06396386003585e-101.81279277200717e-090.999999999093604
352.00928819846672e-084.01857639693344e-080.999999979907118
369.05372379080407e-071.81074475816081e-060.99999909462762
376.14612329942468e-061.22922465988494e-050.9999938538767
383.14471343012234e-056.28942686024468e-050.9999685528657
390.0001021975793510270.0002043951587020540.999897802420649
400.0002144937868498270.0004289875736996540.99978550621315
410.0003655503278578720.0007311006557157430.999634449672142
420.0006096963121144540.001219392624228910.999390303687886
430.00098437992461380.00196875984922760.999015620075386
440.0008986569875652310.001797313975130460.999101343012435
450.0008999808004043180.001799961600808640.999100019199596
460.0007101687322603390.001420337464520680.99928983126774
470.0008287143632770080.001657428726554020.999171285636723
480.001807987819758370.003615975639516730.998192012180242
490.003035911152942140.006071822305884280.996964088847058
500.005409476161513030.01081895232302610.994590523838487
510.01091876514472750.02183753028945510.989081234855272
520.01869156093075710.03738312186151430.981308439069243
530.03030048411962930.06060096823925850.96969951588037
540.06702490523797780.1340498104759560.932975094762022
550.1457950074417610.2915900148835220.85420499255824
560.2517098115868570.5034196231737150.748290188413143
570.3231141713977590.6462283427955180.676885828602241
580.3180350000987110.6360700001974220.681964999901289
590.3691334987844040.7382669975688080.630866501215596
600.4894953947683310.9789907895366630.510504605231669
610.5472385737462180.9055228525075640.452761426253782
620.6059463324485170.7881073351029660.394053667551483
630.6580058296249130.6839883407501740.341994170375087
640.7239824090042420.5520351819915150.276017590995758
650.7406718896872440.5186562206255120.259328110312756
660.7669063354210460.4661873291579080.233093664578954
670.7946738700034060.4106522599931890.205326129996594
680.8343380941045960.3313238117908080.165661905895404
690.800939550921090.3981208981578190.199060449078910
700.7789657029415710.4420685941168580.221034297058429
710.7606080624335430.4787838751329140.239391937566457
720.7757593245589360.4484813508821280.224240675441064
730.9029490398040060.1941019203919880.0970509601959942
740.9648533343747270.0702933312505470.0351466656252735
750.9714926005401450.05701479891971020.0285073994598551
760.9792658097439560.0414683805120870.0207341902560435
770.9711500412999210.05769991740015720.0288499587000786
780.9621282712018960.07574345759620790.0378717287981039
790.9596349865524840.08073002689503120.0403650134475156
800.9475609886257480.1048780227485040.0524390113742522
810.9578057671361820.0843884657276360.042194232863818
820.967585025063210.06482994987357950.0324149749367897
830.969322369830560.06135526033887910.0306776301694396
840.9653638340443560.06927233191128730.0346361659556437
850.9655050366780560.0689899266438880.034494963321944
860.9631907853086960.07361842938260810.0368092146913040
870.9641938921846710.07161221563065830.0358061078153292
880.9694893271500920.06102134569981510.0305106728499076
890.9790176768245460.04196464635090870.0209823231754544
900.975147532581660.04970493483668270.0248524674183413
910.9698541672568080.06029166548638480.0301458327431924
920.976416285616550.04716742876689950.0235837143834497
930.985840833289490.02831833342101990.0141591667105099
940.997256164700940.005487670598119850.00274383529905993
950.9998679650237850.0002640699524303540.000132034976215177
960.9999086304325950.0001827391348091019.13695674045507e-05
970.9999384757385380.0001230485229247666.15242614623828e-05
980.9999161839905930.0001676320188147718.38160094073855e-05
990.9999085616987490.0001828766025026959.14383012513473e-05
1000.999841183912760.0003176321744806340.000158816087240317
1010.999777657604510.000444684790980870.000222342395490435
1020.9995392782569930.000921443486013360.00046072174300668
1030.9992418417761630.001516316447672890.000758158223836446
1040.9983128262278710.003374347544257830.00168717377212892
1050.9971817301157450.005636539768509460.00281826988425473
1060.9988715822659930.002256835468013020.00112841773400651
1070.9997889290113250.0004221419773496310.000211070988674816
1080.9994788866986050.001042226602790420.000521113301395212
1090.9985495864009190.002900827198162480.00145041359908124
1100.9948280324270470.01034393514590530.00517196757295264
1110.99343163517150.01313672965700070.00656836482850034
1120.973717083103230.05256583379354010.0262829168967701


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level470.5NOK
5% type I error level570.606382978723404NOK
10% type I error level730.776595744680851NOK