Multiple Linear Regression - Estimated Regression Equation
Lening[t] = + 5.81626032635842 -0.720281686285502Huis[t] + 0.344800910424701M1[t] + 0.0683670175317298M2[t] + 0.523080867088162M3[t] + 0.06870129434296M4[t] + 0.090616555068113M5[t] + 0.542015569238084M6[t] -0.145692405505592M7[t] -0.0503724973217004M8[t] + 0.0603553919736134M9[t] + 0.254510041466049M10[t] -0.287003756254083M11[t] + 0.0393050678176038t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)5.816260326358420.41409414.045700
Huis-0.7202816862855020.086582-8.319100
M10.3448009104247010.2337151.47530.1455390.07277
M20.06836701753172980.2344530.29160.7716310.385816
M30.5230808670881620.2366292.21050.0310250.015513
M40.068701294342960.2331250.29470.7692780.384639
M50.0906165550681130.232910.38910.6986540.349327
M60.5420155692380840.237812.27920.0263520.013176
M7-0.1456924055055920.235709-0.61810.5389280.269464
M8-0.05037249732170040.234059-0.21520.8303560.415178
M90.06035539197361340.2327790.25930.7963360.398168
M100.2545100414660490.2324231.0950.2780310.139015
M11-0.2870037562540830.237392-1.2090.2315740.115787
t0.03930506781760380.00243616.137100


Multiple Linear Regression - Regression Statistics
Multiple R0.908800495395926
R-squared0.82591834043188
Adjusted R-squared0.786900037425232
F-TEST (value)21.167459289328
F-TEST (DF numerator)13
F-TEST (DF denominator)58
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.402271431608897
Sum Squared Residuals9.38569367194293


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
14.243.785261810485410.454738189514593
24.153.668420027019750.481579972980247
33.933.646717257013370.283282742986631
43.73.042928950278970.657071049721031
53.73.583136600201580.116863399798416
63.653.608538712848730.0414612871512739
73.553.211514114436290.338485885563707
83.433.407363033772060.0226369662279445
93.473.385968949549020.0840310504509767
103.583.76996753929273-0.189967539292733
113.673.62573880747410.0442611925259010
123.723.113639748709460.606360251290538
133.83.204591080633570.595408919366432
143.763.620037463332860.139962536667135
153.633.147438357711760.482561642288243
163.483.67809370687702-0.198093706877023
173.413.69105516243865-0.281055162438651
183.433.061000940565990.368999059434015
193.53.59241943577556-0.0924194357755647
203.623.8444503266416-0.224450326641597
213.583.72149652465231-0.141496524652309
223.523.59769652556474-0.0776965255647397
233.453.55502751151236-0.105027511512361
243.363.65660844946297-0.296608449462972
253.274.15956090594238-0.889560905942384
263.213.71643151858936-0.506431518589363
273.193.64142790379785-0.451427903797852
283.163.43523508789305-0.27523508789305
293.122.897181053446270.222818946553732
303.063.50961274041609-0.449612740416095
313.013.89049236319200-0.880492363192005
322.983.44961227185138-0.469612271851384
332.973.42245593413807-0.452455934138067
343.023.98220325533544-0.96220325533544
353.073.67014889061228-0.600148890612283
363.183.102588142003660.0774118579963379
373.293.48741440193225-0.197414401932252
383.433.74800022208017-0.318000222080167
393.613.4770799886190.132920011381001
403.743.92490294386143-0.184902943861433
413.873.651192288281430.218807711718569
423.883.99135749783534-0.111357497835337
434.094.033704728057060.0562952719429393
444.194.087658155194580.102341844805421
454.24.036012240147560.163987759852444
464.294.062030831807370.227969168192629
474.374.39030688619203-0.020306886192026
484.474.371600782532960.0983992174670415
494.614.67575549359757-0.0657554935975716
504.654.81101230033181-0.161012300331809
514.694.658938545107750.0310614548922505
524.824.90004065638624-0.0800406563862439
534.865.02176464657698-0.161764646576982
544.874.80515211263220.0648478873678043
555.014.735135399793380.274864600206619
565.034.669522067007510.360477932992494
575.135.37345164087398-0.243451640873975
585.184.275830801928410.904169198071592
595.214.788498968002150.421501031997849
605.265.41588553694118-0.155885536941177
615.255.147416307408820.102583692591183
625.24.836098468646040.363901531353957
635.165.63839794775027-0.478397947750274
645.195.108798654703280.0812013452967193
655.395.50567024905508-0.115670249055083
665.585.494337995701660.0856620042983383
675.765.456733958745700.303266041254305
685.895.681394145532880.208605854467122
695.985.390614710639070.589385289360931
706.025.922271046071310.0977289539286929
715.625.360278936207080.259721063792920
724.875.19967734034977-0.329677340349768


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
170.004731354485707170.009462708971414330.995268645514293
180.004237557000168010.008475114000336010.995762442999832
190.004659392699160590.009318785398321180.99534060730084
200.01778402305572360.03556804611144720.982215976944276
210.01545488616306170.03090977232612340.984545113836938
220.01113069063673090.02226138127346170.98886930936327
230.006536111184634680.01307222236926940.993463888815365
240.01513531941174870.03027063882349730.984864680588251
250.07883716990956170.1576743398191230.921162830090438
260.1028080952449820.2056161904899640.897191904755018
270.08098457953387050.1619691590677410.91901542046613
280.05462384307421440.1092476861484290.945376156925786
290.0362156556340780.0724313112681560.963784344365922
300.02088985709959960.04177971419919920.9791101429004
310.01530446710671440.03060893421342880.984695532893286
320.01164545817859800.02329091635719600.988354541821402
330.01043316453502440.02086632907004880.989566835464976
340.02901556628606520.05803113257213040.970984433713935
350.04933026241569530.09866052483139060.950669737584305
360.03479248691898320.06958497383796630.965207513081017
370.03833766457163530.07667532914327070.961662335428365
380.08459258696235560.1691851739247110.915407413037644
390.2419906048327920.4839812096655830.758009395167208
400.5551247640124020.8897504719751970.444875235987599
410.777176250628820.4456474987423610.222823749371180
420.8602301551804860.2795396896390290.139769844819514
430.9297818505298120.1404362989403770.0702181494701884
440.957434368542260.08513126291548170.0425656314577408
450.9676748488639160.06465030227216760.0323251511360838
460.984034467887690.03193106422461870.0159655321123093
470.9848968624063330.03020627518733470.0151031375936674
480.9799944074288880.04001118514222490.0200055925711125
490.964881583002790.07023683399441950.0351184169972097
500.9459389591283180.1081220817433640.0540610408716822
510.9188599891075240.1622800217849530.0811400108924765
520.8553490705368410.2893018589263170.144650929463159
530.7546660774269880.4906678451460250.245333922573012
540.6306134342326260.7387731315347490.369386565767374
550.4973178821103410.9946357642206810.502682117889659


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level30.0769230769230769NOK
5% type I error level150.384615384615385NOK
10% type I error level230.58974358974359NOK