Multiple Linear Regression - Estimated Regression Equation
HFCE[t] = + 13234.0835008933 + 940.277242456398RPI[t] -10550.7208770042Q1[t] -8526.67838512695Q2[t] -3873.4172652533Q3[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)13234.08350089335055.5241222.61770.0104770.005238
RPI940.27724245639829.26440332.130400
Q1-10550.72087700422595.899657-4.06440.0001075.4e-05
Q2-8526.678385126952595.133711-3.28560.001480.00074
Q3-3873.41726525332623.978033-1.47620.1435950.071798


Multiple Linear Regression - Regression Statistics
Multiple R0.962082470218056
R-squared0.925602679500876
Adjusted R-squared0.922101629124447
F-TEST (value)264.378566424652
F-TEST (DF numerator)4
F-TEST (DF denominator)85
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation8702.07384687471
Sum Squared Residuals6436717585.09917


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
110637096993.1700422669376.8299577340
2109375100521.6561220738853.34387792677
3116476105362.97269043811113.0273095619
4123297110270.69492239413026.3050776065
5114813100190.11266661714622.8873333825
6117925104564.84826463613360.1517353642
7126466110628.52524819415837.474751806
8131235116570.55244685114664.4475531486
9120546107712.33060626912833.6693937313
10123791112745.26027400611045.7397259936
11129813118432.82636058211380.1736394179
12133463124468.8812834858994.1187165149
13122987115892.7426156397094.25738436068
14125418123182.3376652722235.66233472758
15130199129810.180994304388.8190056955
16133016135564.152744471-2548.15274447060
17121454125671.625937186-4217.62593718586
18122044130328.444707941-8284.44470794104
19128313135545.872173289-7232.87217328852
20131556140641.649853735-9085.64985373514
21120027130749.123046450-10722.1230464504
22123001135499.969541451-12498.9695414512
23130111140059.202937079-9948.20293707924
24132524144496.786547806-11972.7865478064
25123742133099.816152591-9357.81615259137
26124931137192.468577873-12261.4685778727
27133646142221.840594729-8575.84059472896
28136557146565.396481210-10008.3964812105
29127509136202.731052697-8693.7310526975
30128945140577.466650716-11632.4666507158
31137191145324.755494835-8133.75549483506
32139716150044.422278299-10328.4222782991
33129083140716.061816488-11633.0618164882
34131604145278.852862998-13674.8528629978
35139413150308.224879854-10895.2248798540
36143125154369.697593599-11244.6975935985
37133948144571.198510559-10623.1985105594
38137116148381.767763104-11265.7677631039
39144864153317.112055714-8453.11205571443
40149277158036.778839178-8759.7788391785
41138796148332.307480385-9536.30748038503
42143258152236.904457175-8978.9044571751
43150034158300.581440733-8266.58144073336
44154708163396.35912118-8688.35912117996
45144888153315.776865404-8427.77686540392
46148762158160.651084650-9398.6510846504
47156500163284.050825752-6784.05082575224
48161088167815.662160725-6727.66216072504
49152772156606.747214001-3834.74721400132
50158011160323.2887423-2312.28874230012
51163318165070.577586419-1752.57758641940
52169969170072.327542620-103.327542620400
53162269160179.8007353362089.19926466436
54165765165118.702678828646.297321172258
55170600170054.046971438545.953028561677
56174681174961.769203394-280.769203393654
57166364164222.9928778982141.00712210184
58170240168221.6175789342018.38242106614
59176150172968.9064230533181.09357694685
60182056176654.2682398155401.73176018482
61172218166197.5750870576020.42491294341
62177856170196.1997880927659.8002119077
63182253175413.6272534406839.37274656022
64188090180791.4881066237298.51189337669
65176863171181.0444720755681.95552792452
66183273175179.6691731118093.33082688879
67187969180303.0689142137665.93108578694
68194650185210.7911461689439.2088538316
69183036175506.3197873757529.68021262507
70189516179881.0553853939634.9446146068
71193805185568.6214719698236.37852803112
72200499191134.5377736449364.46222635632
73188142181053.9555178687088.04448213235
74193732185146.6079431498585.39205685098
75197126190458.0631327426667.93686725786
76205140195365.7853646979774.21463530253
77191751185285.2031089216465.79689107856
78196700190506.1882251506193.81177484953
79199784196757.92065723026.07934279998
80207360202605.9201316124754.07986838825
81196101193559.6428425382541.35715746225
82200824198686.6002345212137.39976547885
83205743204092.083148361650.91685164010
84212489210504.2489682451984.75103175451
85200810201175.888506435-365.888506434555
86203683207149.095416629-3466.09541662872
87207286213776.938745661-6490.9387456608
88210910215863.829250247-4953.82925024695
89194915200987.833057943-6072.8330579433
90217920204610.34686199613309.6531380036


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
80.01928481764236780.03856963528473570.980715182357632
90.01817639318842810.03635278637685610.981823606811572
100.01127022336058390.02254044672116780.988729776639416
110.01020771107647970.02041542215295940.98979228892352
120.01588096187516030.03176192375032050.98411903812484
130.01720903796489270.03441807592978530.982790962035107
140.02512501657649360.05025003315298730.974874983423506
150.04557872328907750.0911574465781550.954421276710922
160.07359027401444060.1471805480288810.92640972598556
170.07516070882629330.1503214176525870.924839291173707
180.08347011446932650.1669402289386530.916529885530673
190.07982328339132330.1596465667826470.920176716608677
200.07787661714743170.1557532342948630.922123382852568
210.06505590441709060.1301118088341810.93494409558291
220.04963041902559590.09926083805119190.950369580974404
230.03355361416976770.06710722833953540.966446385830232
240.02530917090374040.05061834180748090.97469082909626
250.01556507668304870.03113015336609730.984434923316951
260.009755551903375960.01951110380675190.990244448096624
270.005931563472422140.01186312694484430.994068436527578
280.003445717912984870.006891435825969750.996554282087015
290.002353049020938430.004706098041876860.997646950979062
300.001538468761120740.003076937522241490.99846153123888
310.001094856002236590.002189712004473180.998905143997763
320.0006920750826277650.001384150165255530.999307924917372
330.0004597437717191570.0009194875434383140.99954025622828
340.0003983693729055230.0007967387458110470.999601630627095
350.0003091724250422260.0006183448500844530.999690827574958
360.0002755500620238940.0005511001240477880.999724449937976
370.000320903845929090.000641807691858180.999679096154071
380.0005706025247404640.001141205049480930.99942939747526
390.0008237696757819350.001647539351563870.999176230324218
400.001450886565978570.002901773131957140.998549113434021
410.002446832329634470.004893664659268930.997553167670366
420.006951444822733850.01390288964546770.993048555177266
430.01204050413190550.02408100826381110.987959495868094
440.02568402447608310.05136804895216620.974315975523917
450.05167929109267840.1033585821853570.948320708907322
460.1470940420040550.2941880840081090.852905957995945
470.2509792134794090.5019584269588180.749020786520591
480.4418843466493510.8837686932987020.558115653350649
490.6192918861948360.7614162276103290.380708113805165
500.8259142593535110.3481714812929770.174085740646489
510.8981427172399350.2037145655201290.101857282760065
520.9535171654930450.09296566901390990.0464828345069549
530.9756600946434430.04867981071311340.0243399053565567
540.992043279489070.015913441021860.00795672051093
550.9955139859531630.008972028093674880.00448601404683744
560.9986206732296670.002758653540667040.00137932677033352
570.9991787890202330.001642421959534030.000821210979767017
580.9998358595651380.0003282808697245290.000164140434862265
590.9998998621120560.0002002757758874040.000100137887943702
600.9999470922839450.000105815432110115.2907716055055e-05
610.9999485515676080.0001028968647838225.14484323919108e-05
620.9999710412447665.79175104686515e-052.89587552343257e-05
630.999965140786396.97184272220875e-053.48592136110437e-05
640.9999670818150126.5836369976e-053.2918184988e-05
650.9999583741726668.3251654668963e-054.16258273344815e-05
660.9999681609695386.3678060923354e-053.1839030461677e-05
670.9999451493997780.0001097012004439915.48506002219957e-05
680.999910823801130.0001783523977401398.91761988700696e-05
690.999826049998590.0003479000028179080.000173950001408954
700.9997512268917050.0004975462165903910.000248773108295196
710.999462098397740.001075803204520060.000537901602260028
720.998886584828330.002226830343338590.00111341517166930
730.9975671707103940.004865658579211530.00243282928960576
740.995920842306880.008158315386240540.00407915769312027
750.99121082371140.01757835257720150.00878917628860073
760.9831555801642550.03368883967148940.0168444198357447
770.9665722156791240.06685556864175190.0334277843208759
780.9480754559173840.1038490881652310.0519245440826157
790.9029747794126050.1940504411747910.0970252205873953
800.8244187573977850.351162485204430.175581242602215
810.7019244536022850.5961510927954310.298075546397715
820.6873027412961460.6253945174077070.312697258703854


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level340.453333333333333NOK
5% type I error level490.653333333333333NOK
10% type I error level570.76NOK