Multiple Linear Regression - Estimated Regression Equation
Import[t] = + 222.724184604475 -1.08884531590375Wisselkoers[t] -3.43675003487935M1[t] -10.6811622089806M2[t] -2.69348059950483M3[t] + 2.95796464459367M4[t] + 1.09917038098968M5[t] -4.38448659729871M6[t] -9.19465016228743M7[t] -13.1031916205358M8[t] + 3.13537411617422M9[t] -8.82688454470125M10[t] -1.81513701099472M11[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)222.72418460447525.9253998.59100
Wisselkoers-1.088845315903750.277986-3.91690.0002890.000145
M1-3.436750034879359.158767-0.37520.7091690.354584
M2-10.68116220898069.194129-1.16170.2512080.125604
M3-2.693480599504839.178091-0.29350.7704560.385228
M42.957964644593679.1259660.32410.7472810.37364
M51.099170380989689.1332860.12030.9047210.45236
M6-4.384486597298719.155683-0.47890.6342430.317122
M7-9.194650162287439.118665-1.00830.3184580.159229
M8-13.10319162053589.111566-1.43810.1570360.078518
M93.135374116174229.1104010.34420.7322660.366133
M10-8.826884544701259.110883-0.96880.337590.168795
M11-1.815137010994729.110179-0.19920.8429320.421466


Multiple Linear Regression - Regression Statistics
Multiple R0.589301759016927
R-squared0.347276563180444
Adjusted R-squared0.180623770800983
F-TEST (value)2.0838328492553
F-TEST (DF numerator)12
F-TEST (DF denominator)47
p-value0.0368566998434336
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation14.4043696553305
Sum Squared Residuals9751.83566286806


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1100110.402902979220-10.4029029792204
296.21064363105.529707522475-9.31906389247546
396.31280765117.625112343360-21.3123046933602
4107.1793443126.461549702581-19.2822054025813
5114.9066592122.416989581877-7.51033038187651
692.56060184116.115167057727-23.5545652177274
7114.9995356112.7530899975582.24644560244179
8107.1236185106.7959418154290.327676684571365
9117.7765394121.05800583101-3.28146643100999
10107.3650971104.5384984818822.82659861811785
11106.2970187110.387253600208-4.0902349002078
12114.5072908114.4952497404640.0120410595355431
1398.0031578110.740545930446-12.7373881304458
14103.0649206101.3188821796341.74603842036619
15100.2879168107.155253919385-6.86733711938481
16104.6066685113.473071734625-8.86640323462469
17111.1544534113.904342819194-2.74988941919418
18104.9874617106.901425633621-1.91396393362092
19109.9284852102.8514242909817.07706090901949
20111.5352466101.20674029479410.3285063052064
21132.4974459121.68180717441710.8156387255833
22100.3436426108.731231135417-8.38758853541656
23123.0983561116.0248799374427.07347616255807
24114.2379493118.879818885606-4.6418695856058
25104.569518114.757672279102-10.1881542791023
26109.0833101106.5516827752482.53162732475197
27106.9843039116.75067297411-9.76636907410992
28133.6769759124.9972329239258.67974297607486
29124.8537197121.4808219384003.37289776160027
30122.5132349116.5842486319835.9289862680174
31116.8013374113.0650571922663.73628020773383
32116.0118882111.1931492970364.81873890296378
33129.7575926127.3952634324522.36232916754785
34125.1973623114.75798492847810.4393773715215
35143.7912139123.91638602646619.8748278735339
36127.9465032125.0622237045532.88427949544739
37130.2962757123.5511560073616.74511969263898
38108.4424631118.534149661362-10.0916865613618
39129.3675118129.432106003271-0.0645942032705193
40143.6797622134.374607470279.30515472973008
41131.8844618133.434021119737-1.54955931973706
42117.6186496128.134218580256-10.5155689802560
43118.9560695127.849774358138-8.89370485813757
44104.8202842125.159700906158-20.3394167061585
45134.624315140.345028158509-5.72071315850896
46140.401226128.36068568937512.0405403106253
47143.8005015136.5495273285917.2509741714094
48153.4317823133.88603940766519.5457428923351
49153.2924677126.70914200387126.5833256961295
50127.3149438112.18185909128115.1330847087191
51153.5525216115.54191650987538.0106050901254
52136.9276493126.76393836859910.163710931401
53131.7730101123.3361287407938.43688135920747
54144.3391845114.28407263641330.0551118635870
55107.4208229111.586904761058-4.16608186105755
56113.6249652108.7604703865834.86449481341694
57124.2221603128.397948603612-4.17578830361216
58102.0618557118.980783464848-16.9189277648482
5996.36853348126.477576787294-30.1090433072935
60111.6838488129.484042661712-17.8001938617122


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
160.01646020112319790.03292040224639580.983539798876802
170.004904235340485090.009808470680970180.995095764659515
180.007730788164369190.01546157632873840.992269211835631
190.003607678504847750.00721535700969550.996392321495152
200.001147203002228620.002294406004457250.998852796997771
210.002554637598549570.005109275197099140.99744536240145
220.001211869828930580.002423739657861160.99878813017107
230.002588970990713040.005177941981426080.997411029009287
240.000997195808184890.001994391616369780.999002804191815
250.0008201781053166530.001640356210633310.999179821894683
260.000568572758312950.00113714551662590.999431427241687
270.0007524917064424050.001504983412884810.999247508293558
280.008323268193902650.01664653638780530.991676731806097
290.00583852602512150.0116770520502430.994161473974879
300.0102390448396180.0204780896792360.989760955160382
310.005143454293420530.01028690858684110.99485654570658
320.002556885632309790.005113771264619590.99744311436769
330.001136932559275810.002273865118551610.998863067440724
340.0009980550772391020.001996110154478200.99900194492276
350.002160475314135580.004320950628271160.997839524685864
360.000997215373567090.001994430747134180.999002784626433
370.001217488480520880.002434976961041760.998782511519479
380.001077136964504530.002154273929009060.998922863035495
390.001532466008271860.003064932016543710.998467533991728
400.0008504710208638270.001700942041727650.999149528979136
410.0003502076984589270.0007004153969178540.999649792301541
420.001438051369951810.002876102739903630.998561948630048
430.001101316708924020.002202633417848030.998898683291076
440.03869424399823450.0773884879964690.961305756001765


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level220.758620689655172NOK
5% type I error level280.96551724137931NOK
10% type I error level291NOK