Multiple Linear Regression - Estimated Regression Equation
Werkl[t] = -147852.690708943 + 0.580375867857886x[t] + 0.277926825333554`y-1`[t] -0.140289064798996`y-2`[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-147852.69070894318219.49076-8.115100
x0.5803758678578860.05692710.19500
`y-1`0.2779268253335540.1155692.40490.0191290.009564
`y-2`-0.1402890647989960.076182-1.84150.0702580.035129


Multiple Linear Regression - Regression Statistics
Multiple R0.96869559474749
R-squared0.938371155283192
Adjusted R-squared0.935436448391915
F-TEST (value)319.749532081892
F-TEST (DF numerator)3
F-TEST (DF denominator)63
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation7360.18421802616
Sum Squared Residuals3412855638.56672


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1209465203474.8919450865990.10805491365
2204045195891.0726680068153.92733199406
3200237190936.9134044699300.08659553062
4203666194156.0125440299509.98745597146
5241476225130.98148097516345.0185190247
6260307245159.96087443615147.0391255638
7243324246162.966737779-2838.96673777943
8244460238053.0475902416406.95240975902
9233575230793.7928864632781.2071135365
10237217228356.1347570298860.8652429708
11235243228232.0458676317010.95413236877
12230354226310.0470007884043.95299921197
13227184222354.7524438814829.24755611889
14221678215585.0998142826092.9001857181
15217142211223.9096512185918.09034878173
16219452211648.0160265617803.98397343887
17256446242935.87319033813510.1268096624
18265845257622.9133742158222.08662578468
19248624254666.888876508-6042.88887650801
20241114239209.3769868631904.62301313672
21229245229838.242634003-593.242634002951
22231805228601.2129032293203.7870967714
23219277228811.253371468-9534.2533714683
24219313223034.112202630-3721.11220263019
25212610218839.45768164-6229.45768163995
26214771213724.8411602991046.15883970064
27211142214435.861140156-3293.86114015606
28211457213221.022791922-1764.02279192223
29240048240877.703596932-829.703596931786
30240636252402.424571801-11766.4245718007
31230580245134.685904142-14554.6859041422
32208795223516.446629487-14721.4466294872
33197922206172.192458880-8250.19245888028
34194596201291.868514654-6695.86851465409
35194581203809.248010821-9228.2480108209
36185686197468.514614932-11782.5146149322
37178106185027.022053896-6921.0220538959
38172608180828.725205600-8220.72520560036
39167302171727.501341500-4425.50134149966
40168053163841.3991439364211.6008560645
41202300197701.8076751274598.19232487339
42202388212470.899459121-10082.8994591212
43182516194380.537264127-11864.5372641266
44173476180379.287168953-6903.28716895294
45166444170658.259015639-4214.25901563902
46171297172532.709054665-1235.70905466538
47169701176414.121953649-6713.12195364906
48164182169856.829409930-5674.82940992951
49161914159876.6175184042037.38248159614
50159612158639.820637539972.179362460882
51151001146196.4783085064804.52169149441
52158114148898.6266041219215.37339587896
53186530181566.0629610164963.9370389845
54187069191490.094159186-4421.09415918596
55174330178573.462200076-4243.46220007587
56169362168125.732225671236.26777433011
57166827166031.874915155795.125084844574
58178037174309.1520005283727.84799947241
59186412184791.8653513731620.13464862669
60189226188109.8019296061116.19807039449
61191563189855.0717955911707.92820440901
62188906190233.433417905-1327.43341790487
63186005181658.2233202134346.77667978696
64195309188547.3079698546761.69203014573
65223532220765.5249315912766.47506840876
66226899233121.891963498-6222.89196349773
67214126220771.072736230-6645.07273622968


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
70.01245353932656390.02490707865312780.987546460673436
80.1334829422976970.2669658845953930.866517057702303
90.06210352772439010.1242070554487800.93789647227561
100.04123080385708130.08246160771416260.958769196142919
110.02145954763498380.04291909526996760.978540452365016
120.01073295989098590.02146591978197190.989267040109014
130.005256151796830450.01051230359366090.99474384820317
140.002537004181368860.005074008362737720.997462995818631
150.001226953100186040.002453906200372090.998773046899814
160.000680006120506780.001360012241013560.999319993879493
170.001024176605168930.002048353210337860.998975823394831
180.001301851977974440.002603703955948880.998698148022026
190.006892320244693840.01378464048938770.993107679755306
200.006274803245666580.01254960649133320.993725196754333
210.0077783858654990.0155567717309980.992221614134501
220.01437332474726430.02874664949452850.985626675252736
230.481973283056560.963946566113120.51802671694344
240.6872997279611710.6254005440776570.312700272038829
250.8675719989410580.2648560021178840.132428001058942
260.9016512202941920.1966975594116150.0983487797058076
270.9407006712210180.1185986575579650.0592993287789824
280.9564541171774220.08709176564515540.0435458828225777
290.966344434942530.06731113011494180.0336555650574709
300.9885755169725770.02284896605484620.0114244830274231
310.9940785130992850.01184297380142920.00592148690071462
320.9969981517911620.00600369641767570.00300184820883785
330.9966827210510030.006634557897994180.00331727894899709
340.9964026166035550.007194766792890490.00359738339644524
350.997540282861980.004919434276038130.00245971713801907
360.999082838010150.001834323979701430.000917161989850717
370.9989862545018630.002027490996273150.00101374549813657
380.9994066248442670.001186750311465000.000593375155732502
390.999240151736850.001519696526300590.000759848263150295
400.9987828685361520.002434262927696160.00121713146384808
410.9978187733996550.004362453200689340.00218122660034467
420.9983430228270770.00331395434584650.00165697717292325
430.9991431110609750.001713777878050200.000856888939025102
440.9994879066767880.001024186646423510.000512093323211753
450.9995289556491220.0009420887017550750.000471044350877538
460.9994496847256290.001100630548742650.000550315274371323
470.9998513002116150.000297399576770860.00014869978838543
480.9999860267371892.79465256229865e-051.39732628114933e-05
490.9999654555379336.90889241332596e-053.45444620666298e-05
500.9999372137980890.0001255724038222296.27862019111144e-05
510.9998663267603580.0002673464792831250.000133673239641562
520.9998336654087430.0003326691825151030.000166334591257551
530.999584868154490.0008302636910191280.000415131845509564
540.998805304141380.002389391717241050.00119469585862052
550.9982752279794470.003449544041106770.00172477202055338
560.9965847735944720.006830452811055690.00341522640552784
570.995713794788540.008572410422921640.00428620521146082
580.9937591555456530.01248168890869350.00624084445434673
590.9818930558708010.03621388825839780.0181069441291989
600.9433901483489290.1132197033021430.0566098516510713


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level310.574074074074074NOK
5% type I error level430.796296296296296NOK
10% type I error level460.851851851851852NOK