Multiple Linear Regression - Estimated Regression Equation
Totaal[t] = + 32.2475215807633 + 2.471430053128Crisis[t] + 1.24026784409011`t-1`[t] -0.575426130628861`t-2`[t] + 0.110311812189182`t-3`[t] + 0.164208502243871`t-4 `[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)32.247521580763363.6344310.50680.6145490.307275
Crisis2.4714300531288.1933680.30160.7641790.38209
`t-1`1.240267844090110.141498.765700
`t-2`-0.5754261306288610.225687-2.54970.0138950.006948
`t-3`0.1103118121891820.2260940.48790.6277520.313876
`t-4 `0.1642085022438710.1576581.04160.3026310.151315


Multiple Linear Regression - Regression Statistics
Multiple R0.913098051345784
R-squared0.833748051371467
Adjusted R-squared0.817122856508614
F-TEST (value)50.1496709211128
F-TEST (DF numerator)5
F-TEST (DF denominator)50
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation17.6529714939156
Sum Squared Residuals15581.3701282499


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1567568.893018162697-1.89301816269679
2569566.901122469642.0988775303598
3621570.79974249629350.2002575037068
4629631.674653729904-2.67465372990351
5628610.91001030083917.0899896991613
6612611.1309646500430.869035349957042
7595601.283441889425-6.28344188942481
8597590.6090628357166.3909371642835
9593600.942645247317-7.94264524731659
10590590.32808476658-0.328084766580404
11580586.338064843058-6.33806484305808
12574575.548834549775-1.54883454977458
13573572.873719345980.126280654020495
14573573.490264657039-0.490264657039133
15620571.76173489209448.2382651079058
16626628.958760738677-2.95876073867692
17620609.19113116141710.8088688385828
18588603.481622485995-15.481622485995
19566575.625278737482-9.62527873748165
20557567.076402487951-10.0764024879509
21561564.058137761458-3.05813776145785
22549566.516512373512-17.5165123735122
23532544.726200362848-12.7262003628476
24526529.510131309424-3.51013130942398
25511531.183860728279-20.1838607282793
26499512.186597016558-13.1865970165583
27555504.95278948875750.047210511243
28565578.672974129048-13.6729741290485
29542555.064919974805-13.0649199748051
30527524.9914577101122.00854228988831
31510529.921035300772-19.9210353007724
32514516.572787252761-2.57278725276102
33517525.884630115365-8.88463011536535
34508522.965300784246-14.9653007842461
35493507.726314506159-14.7263145061594
36490495.28890146601-5.28890146601057
37469499.699309090202-30.6993090902021
38478472.2474090531645.75259094683614
39528492.69970542295535.3002945770447
40534546.725088889097-12.7250888890966
41518522.939817184776-4.93981718477555
42506506.636442025215-0.636442025214569
43502509.832341971524-7.83234197152367
44516510.9966461811465.00335381885412
45528526.7110227387511.28897726124926
46533531.1265217633451.87347823665518
47536531.3102787779224.68972122207791
48537535.7766124347321.22338756526751
49524537.812662974808-13.8126629748084
50536522.26573281879513.734267181205
51587545.23242396497241.7675760350277
52597600.311125389806-3.31112538980605
53581582.556102385735-1.55610238573508
54564564.553960022579-0.553960022579444
55558562.153976499439-4.15397649943859
56575564.37170968310.6282903169996


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
90.8433803300894530.3132393398210940.156619669910547
100.7425105841327160.5149788317345690.257489415867284
110.6700269588972080.6599460822055850.329973041102792
120.582050505135690.835898989728620.41794949486431
130.4805191606634380.9610383213268760.519480839336562
140.3952603648167930.7905207296335850.604739635183207
150.7640303879032130.4719392241935740.235969612096787
160.6837689821131440.6324620357737120.316231017886856
170.6611342831202690.6777314337594620.338865716879731
180.5987281119972520.8025437760054960.401271888002748
190.5147369749961030.9705260500077950.485263025003897
200.4306620589504610.8613241179009210.569337941049539
210.3796566419432580.7593132838865150.620343358056742
220.5083849626507470.9832300746985070.491615037349253
230.5691864615567410.8616270768865190.430813538443259
240.5042182299777490.9915635400445030.495781770022251
250.4908813014084040.9817626028168080.509118698591596
260.4269045529143990.8538091058287980.573095447085601
270.6526301340270860.6947397319458280.347369865972914
280.8152355804652460.3695288390695070.184764419534754
290.853362957173790.293274085652420.14663704282621
300.798897725641210.402204548717580.20110227435879
310.8293915052458780.3412169895082440.170608494754122
320.7677751982275830.4644496035448340.232224801772417
330.7178961265585120.5642077468829750.282103873441488
340.6806228158450070.6387543683099860.319377184154993
350.6445931003415920.7108137993168150.355406899658408
360.5679229315940120.8641541368119770.432077068405988
370.8086658795542680.3826682408914640.191334120445732
380.741498698192050.5170026036159020.258501301807951
390.8663100675686060.2673798648627880.133689932431394
400.8534713860352120.2930572279295770.146528613964788
410.7808162023661630.4383675952676750.219183797633837
420.6858972368301840.6282055263396310.314102763169816
430.6526139857256670.6947720285486660.347386014274333
440.538385885340460.923228229319080.46161411465954
450.4354913604280840.8709827208561670.564508639571916
460.307209648947440.6144192978948810.69279035105256
470.1850406968643220.3700813937286450.814959303135678


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level00OK
10% type I error level00OK