Multiple Linear Regression - Estimated Regression Equation
Werkloosheidsgraad[t] = + 1092.38211650939 -0.00473234036368295Maand[t] + 0.312003440647315`Dollar/euro`[t] -310.150910519746`Pond/euro`[t] -2.11969672123574`Yen/euro\r`[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)1092.38211650939158.7063926.88300
Maand-0.004732340363682950.656424-0.00720.9942730.497137
`Dollar/euro`0.3120034406473150.8838480.3530.7254090.362705
`Pond/euro`-310.150910519746150.370661-2.06260.0438030.021901
`Yen/euro\r`-2.119696721235740.484441-4.37555.3e-052.7e-05


Multiple Linear Regression - Regression Statistics
Multiple R0.707216183548097
R-squared0.500154730272335
Adjusted R-squared0.464451496720359
F-TEST (value)14.008667577524
F-TEST (DF numerator)4
F-TEST (DF denominator)56
p-value5.54131834862304e-08
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation29.5898986543267
Sum Squared Residuals49031.4777329061


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1591592.28295435284-1.28295435283961
2589593.083597353243-4.08359735324344
3584587.482401218986-3.48240121898599
4573590.289833565405-17.2898335654053
5567597.235560043061-30.2355600430608
6569608.407492248704-39.4074922487042
7621597.22808231843923.7719176815612
8629595.4059294734133.5940705265895
9628597.59924675517130.4007532448289
10612592.13185617769319.8681438223072
11595589.4240499561785.57595004382186
12597587.3767747027949.62322529720648
13593586.9846535325086.01534646749221
14590585.8270860127154.17291398728456
15580580.091179547411-0.0911795474114046
16574576.327614107179-2.32761410717862
17573578.293255838427-5.29325583842691
18573572.1342032992510.86579670074908
19620571.96214540467148.0378545953287
20626571.56997213549354.4300278645069
21620571.05400945296848.9459905470322
22588570.41117271750917.5888272824908
23566566.952408291073-0.952408291072893
24557559.531453767896-2.53145376789648
25561558.7026065006962.29739349930435
26549555.09319714901-6.09319714900974
27532556.356423031345-24.356423031345
28526545.175860762349-19.1758607623485
29511539.159033893593-28.1590338935929
30499538.086666823829-39.0866668238295
31555533.86845386224121.1315461377588
32565549.1661629508915.8338370491102
33542544.137961370986-2.13796137098564
34527531.107660870058-4.10766087005834
35510531.635954674953-21.6359546749529
36514522.482790354261-8.48279035426098
37517528.685342943809-11.6853429438089
38508529.050498518924-21.0504985189242
39493524.770376481656-31.7703764816562
40490503.696371786181-13.696371786181
41469507.326518543266-38.3265185432662
42478499.124522159255-21.124522159255
43528489.63325849248738.3667415075126
44534504.11563021032329.8843697896766
45518524.029787214564-6.02978721456386
46506569.30951418189-63.3095141818897
47502577.195261719655-75.1952617196553
48516556.141757579704-40.141757579704
49528557.712092418614-29.712092418614
50533570.298397308621-37.2983973086212
51536536.735258806551-0.735258806550476
52537538.078018161629-1.07801816162933
53524538.765303171577-14.7653031715773
54536543.807586223486-7.80758622348609
55587547.39178374729839.6082162527022
56597542.20092422990854.7990757700918
57581537.9863316542643.0136683457403
58564528.91682665968135.0831733403194
59558536.09919823461621.9008017653843
60575539.48341036301735.516589636983
61580546.38632467179133.6136753282088


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
80.1274900650363920.2549801300727830.872509934963608
90.1033956908624220.2067913817248450.896604309137578
100.07828638335445470.1565727667089090.921713616645545
110.05380349674788780.1076069934957760.946196503252112
120.03183820003454180.06367640006908370.968161799965458
130.07293020788351330.1458604157670270.927069792116487
140.05181207720490510.103624154409810.948187922795095
150.03651113319474990.07302226638949980.96348886680525
160.05290912777982130.1058182555596430.947090872220179
170.02976309476820050.05952618953640110.9702369052318
180.01629850518098820.03259701036197630.983701494819012
190.02141206549551750.04282413099103510.978587934504482
200.0392819932623810.0785639865247620.960718006737619
210.06146424484691220.1229284896938240.938535755153088
220.08966695365797290.1793339073159460.910333046342027
230.1596378390904910.3192756781809820.840362160909509
240.1994034499558710.3988068999117430.800596550044129
250.208887398709890.417774797419780.79111260129011
260.2251104418491740.4502208836983490.774889558150826
270.4182258516084150.8364517032168290.581774148391585
280.4224241542611240.8448483085222480.577575845738876
290.389251141424290.778502282848580.61074885857571
300.3598271045955230.7196542091910460.640172895404477
310.5109799606428030.9780400787143950.489020039357197
320.6457260371837720.7085479256324560.354273962816228
330.7381082809182880.5237834381634240.261891719081712
340.7608933888163130.4782132223673740.239106611183687
350.7618629593222770.4762740813554460.238137040677723
360.7431649800304420.5136700399391150.256835019969558
370.791413300617320.4171733987653610.208586699382681
380.8036332303931450.3927335392137090.196366769606854
390.7603330846386840.4793338307226330.239666915361316
400.7085928871076440.5828142257847110.291407112892356
410.7385083767980810.5229832464038380.261491623201919
420.8711969459289050.2576061081421910.128803054071095
430.9048507473330640.1902985053338720.0951492526669361
440.8974422139520.2051155720959990.102557786048
450.8449773326084260.3100453347831480.155022667391574
460.8363688045007130.3272623909985730.163631195499287
470.8461663498876740.3076673002246510.153833650112326
480.7953783434274470.4092433131451050.204621656572553
490.709805354385010.580389291229980.29019464561499
500.6907619910879030.6184760178241950.309238008912097
510.5740372241090110.8519255517819770.425962775890988
520.4487296113499460.8974592226998930.551270388650054
530.2963717508038870.5927435016077740.703628249196113


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level20.0434782608695652OK
10% type I error level60.130434782608696NOK