Multiple Linear Regression - Estimated Regression Equation
BEL_20[t] = -694.276827768513 + 0.186289311341488Nikkei[t] + 0.238668063115473DJ_Indust[t] -0.0401626357343952Goudprijs[t] -3.31443430461099Conjunct_Seizoenzuiver[t] + 3.1995090939585Cons_vertrouw[t] + 39.6618902538806Alg_consumptie_index_BE[t] -302.748978637587Gem_rente_kasbon_5j[t] + 14.2294511552077t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-694.276827768513463.181345-1.49890.1388860.069443
Nikkei0.1862893113414880.01416613.150700
DJ_Indust0.2386680631154730.0351196.796100
Goudprijs-0.04016263573439520.019447-2.06520.0430210.021511
Conjunct_Seizoenzuiver-3.314434304610996.070118-0.5460.5869770.293489
Cons_vertrouw3.19950909395857.4241820.4310.667970.333985
Alg_consumptie_index_BE39.661890253880616.3088482.43190.0178730.008937
Gem_rente_kasbon_5j-302.74897863758754.975934-5.50691e-060
t14.22945115520774.6249913.07660.0030960.001548


Multiple Linear Regression - Regression Statistics
Multiple R0.985849235217833
R-squared0.971898714579585
Adjusted R-squared0.968330297383342
F-TEST (value)272.361291051620
F-TEST (DF numerator)8
F-TEST (DF denominator)63
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation150.489825361688
Sum Squared Residuals1426772.81485565


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
12350.442487.02131874436-136.581318744363
22440.252478.91580104686-38.6658010468649
32408.642586.03003922044-177.390039220441
42472.812779.32284035828-306.512840358283
52407.62552.60846810745-145.008468107445
62454.622722.13412598806-267.514125988063
72448.052588.3076812174-140.257681217401
82497.842535.20927140303-37.3692714030259
92645.642596.4911663553849.1488336446237
102756.762547.42932656193209.330673438068
112849.272655.80271375331193.467286246689
122921.442772.83767645926148.602323540742
132981.852850.38426248588131.465737514116
143080.583013.3798409070767.2001590929269
153106.223091.0824426572615.1375573427443
163119.312922.93124442423196.378755575766
173061.262880.61973501399180.640264986011
183097.313002.0193497685895.2906502314214
193161.693126.5663900213035.1236099786953
203257.163206.6211294845850.538870515424
213277.013327.9963970342-50.9863970341988
223295.323328.49878197328-33.1787819732749
233363.993549.65334232637-185.663342326373
243494.173785.4780615772-291.308061577200
253667.033840.49091679821-173.460916798215
263813.063895.43834951639-82.378349516389
273917.963910.966748760316.99325123969077
283895.514002.90986145241-107.399861452414
293801.063789.0809545993911.9790454006065
303570.123541.3847439552628.7352560447420
313701.613508.93067997176192.679320028236
323862.273698.22777675659164.042223243408
333970.13848.72042868652121.379571313481
344138.524086.9895222878551.5304777121477
354199.754070.15856361785129.591436382153
364290.894237.8268959029253.0631040970839
374443.914355.2044044122888.7055955877244
384502.644375.44658313298127.193416867024
394356.984202.99735998728153.982640012719
404591.274397.1229519667194.147048033301
414696.964590.58289480372106.377105196278
424621.44595.0571318193726.3428681806313
434562.844602.57140316969-39.73140316969
444202.524238.09720034287-35.5772003428662
454296.494290.900140273075.58985972693068
464435.234520.57511193465-85.345111934655
474105.184125.96061717701-20.7806171770052
484116.684225.78714297501-109.107142975014
493844.493607.19117713873237.298822861266
503720.983591.33284186625129.647158133755
513674.43507.91951496874166.480485031262
523857.623850.821850363446.79814963655667
533801.063973.36812494501-172.308124945013
543504.373688.75518496188-184.385184961879
553032.63187.4458297138-154.845829713798
563047.033253.06100858942-206.031008589422
572962.343126.91581941074-164.575819410737
582197.822038.50447139775159.315528602246
592014.451891.44290525407123.007094745931
601862.831890.41832365926-27.5883236592584
611905.411825.0388726830080.3711273169951
621810.991497.77012922094313.219870779062
631670.071492.50093920378177.569060796216
641864.441908.70209595658-44.2620959565847
652052.022061.05625069554-9.03625069554037
662029.62166.05577177178-136.455771771780
672070.832159.25080121525-88.4208012152534
682293.412519.36423985320-225.954239853204
692443.272528.26721163569-84.9972116356874
702513.172513.011430889410.158569110587452
712466.922550.56186804724-83.641868047237
722502.662684.46354536869-181.803545368686


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
120.1587955150635390.3175910301270770.841204484936461
130.1117187276056420.2234374552112850.888281272394358
140.06006408172151430.1201281634430290.939935918278486
150.02892751515116810.05785503030233620.971072484848832
160.01445751136305860.02891502272611720.985542488636941
170.05598594913494090.1119718982698820.94401405086506
180.07868830054890530.1573766010978110.921311699451095
190.0547231753019440.1094463506038880.945276824698056
200.03260358351400380.06520716702800750.967396416485996
210.01759402156378360.03518804312756710.982405978436216
220.009240104773611670.01848020954722330.990759895226388
230.0073626070159660.0147252140319320.992637392984034
240.007886239506354040.01577247901270810.992113760493646
250.01321372548072960.02642745096145920.98678627451927
260.02875167746731010.05750335493462030.97124832253269
270.03019460737664270.06038921475328550.969805392623357
280.04321350643073330.08642701286146650.956786493569267
290.1816410687398090.3632821374796170.818358931260191
300.7390789038211890.5218421923576220.260921096178811
310.7477504252504160.5044991494991670.252249574749584
320.7614801341992220.4770397316015570.238519865800778
330.7808238161876470.4383523676247060.219176183812353
340.8742411879163580.2515176241672850.125758812083643
350.9552113037509260.08957739249814850.0447886962490742
360.958198902070120.08360219585976020.0418010979298801
370.9676363980393930.06472720392121360.0323636019606068
380.9622368345964620.0755263308070760.037763165403538
390.9549091648410780.09018167031784360.0450908351589218
400.9405301697644070.1189396604711870.0594698302355935
410.9273019263266350.1453961473467300.0726980736733652
420.935033813035160.1299323739296800.0649661869648401
430.961604541478080.07679091704384080.0383954585219204
440.9927912517636550.014417496472690.007208748236345
450.995875616195950.008248767608101010.00412438380405051
460.9950055482778620.009988903444276020.00499445172213801
470.9925903699882530.01481926002349360.00740963001174679
480.9921520648956890.01569587020862260.00784793510431132
490.9896095770596170.02078084588076610.0103904229403831
500.987010804291810.02597839141638000.0129891957081900
510.988967129483390.02206574103321950.0110328705166097
520.981947039144620.03610592171076150.0180529608553807
530.9779827565378930.04403448692421310.0220172434621065
540.9781528582850820.04369428342983640.0218471417149182
550.9583494202440930.08330115951181330.0416505797559067
560.9341221443178460.1317557113643080.065877855682154
570.9079427357032830.1841145285934330.0920572642967166
580.8305161475949440.3389677048101120.169483852405056
590.9866187061759160.02676258764816880.0133812938240844
600.9545552679384760.09088946412304860.0454447320615243


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level20.0408163265306122NOK
5% type I error level180.36734693877551NOK
10% type I error level310.63265306122449NOK