Multiple Linear Regression - Estimated Regression Equation
USDOLLAR[t] = + 0.078110740623702 + 0.0139385911634161Amerikaanse_inflatie[t] + 1.12979723066344`Y[t-1]`[t] -0.264538499966401`Y[t-2]`[t] + 0.0327237110510389M1[t] + 0.0104818715294112M2[t] + 0.0407995808594032M3[t] + 0.0265051646608203M4[t] + 0.0222423674857073M5[t] + 0.0220179199741573M6[t] -0.00472949651591212M7[t] + 0.0249234761846346M8[t] + 0.00314997812565103M9[t] + 0.0173613481476963M10[t] + 0.0278331600231446M11[t] + 0.000283993595009668t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)0.0781107406237020.0492631.58560.1209070.060453
Amerikaanse_inflatie0.01393859116341610.0139590.99850.3241790.162089
`Y[t-1]`1.129797230663440.1907695.92231e-060
`Y[t-2]`-0.2645384999664010.177375-1.49140.14390.07195
M10.03272371105103890.0219191.4930.1434920.071746
M20.01048187152941120.0219160.47830.6351270.317563
M30.04079958085940320.02181.87150.0687880.034394
M40.02650516466082030.0222631.19050.241030.120515
M50.02224236748570730.0218761.01670.3155390.15777
M60.02201791997415730.021931.0040.3215620.160781
M7-0.004729496515912120.022003-0.2150.8309250.415462
M80.02492347618463460.0240811.0350.3070480.153524
M90.003149978125651030.024020.13110.8963390.448169
M100.01736134814769630.0238990.72640.4719110.235956
M110.02783316002314460.0232481.19720.2384450.119222
t0.0002839935950096680.0002980.95240.3467410.17337


Multiple Linear Regression - Regression Statistics
Multiple R0.939006435347887
R-squared0.881733085624745
Adjusted R-squared0.836245810865032
F-TEST (value)19.3841704143083
F-TEST (DF numerator)15
F-TEST (DF denominator)39
p-value1.52988732793347e-13
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.0323693408415906
Sum Squared Residuals0.0408631948342435


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
10.79050.7843207082558450.00617929174415532
20.77190.782480342992086-0.0105803429920862
30.78110.787794808986126-0.00669480898612576
40.75570.781878746781381-0.0261787467813814
50.76370.7496546277135630.0140453722864371
60.75950.7726641425818-0.0131641425817995
70.74710.7407331224345640.00636687756543637
80.76150.767668064495778-0.00616806449577773
90.74870.750033063902934-0.00133306390293407
100.73890.7371418299471070.00175817005289325
110.73370.745118099446155-0.0114180994461553
120.7510.7227193123721080.0282806876278919
130.73820.769609120770934-0.0314091207709344
140.71590.730007213358747-0.0141072133587470
150.75420.7429821081885490.0112178918114513
160.76360.77603740080296-0.0124374008029603
170.74330.771153007526039-0.0278530075260385
180.76580.749930769502880.0158692304971194
190.76270.7535331091065690.00916689089343125
200.7480.762348986934045-0.0143489869340451
210.76920.724360664379880.0448393356201198
220.7850.775645020763420.00935497923658063
230.79130.802769229263443-0.0114692292634433
240.7720.773126245679026-0.00112624567902559
250.7880.7862166119701530.00178338802984743
260.8070.7887792195351890.0182207804648110
270.82680.83374310406367-0.00694310406367003
280.82440.838344846923742-0.0139448469237421
290.84870.8235731950933750.025126804906625
300.85720.8515823203702410.00561767962975856
310.82140.827346064187525-0.00594606418752503
320.88270.8191456316860530.0635543683139471
330.92160.875630491837720.0459695081622792
340.88650.926430991245144-0.0399309912451441
350.88160.8774136595004140.00418634049958623
360.88840.8548543226043930.0335456773956071
370.94660.8941925547477390.052407445252261
380.9180.939145027172606-0.0211450271726060
390.93370.9188743284084930.0148256715915067
400.95590.934795135691630.0211048643083707
410.96260.9578636177035220.00473638229647842
420.94340.956874148073979-0.0134741480739792
430.86390.896603775757152-0.0327037757571517
440.79960.842637316884124-0.0430373168841243
450.6680.757475779879465-0.089475779879465
460.65720.628382158044330.0288178419556702
470.69280.6740990117899880.0187009882100123
480.64380.704500119344473-0.0607001193444734
490.64540.674361004255329-0.0289610042553293
500.68730.6596881969413720.0276118030586283
510.72650.738905650353162-0.0124056503531622
520.79120.7597438698002870.0314561301997131
530.81140.827455551963502-0.0160555519635019
540.82810.8229486194710990.0051513805289008
550.83930.816183928514190.0231160714858091


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
190.1265019715396760.2530039430793510.873498028460324
200.08494171892567960.1698834378513590.91505828107432
210.05409091311460540.1081818262292110.945909086885395
220.02204178547458030.04408357094916060.97795821452542
230.00927021409581180.01854042819162360.990729785904188
240.006692119794088750.01338423958817750.993307880205911
250.002758134053315840.005516268106631690.997241865946684
260.001984983623026710.003969967246053420.998015016376973
270.0006881131003430250.001376226200686050.999311886899657
280.0003755557196335070.0007511114392670150.999624444280367
290.0001965070533478390.0003930141066956770.999803492946652
308.023256810656e-050.000160465136213120.999919767431893
310.0002985805715214050.000597161143042810.999701419428479
320.0004323075118430420.0008646150236860850.999567692488157
330.004724230484330670.009448460968661350.99527576951567
340.01039894544425460.02079789088850920.989601054555745
350.004239618571401060.008479237142802120.9957603814286
360.01118359781621740.02236719563243480.988816402183783


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level100.555555555555556NOK
5% type I error level150.833333333333333NOK
10% type I error level150.833333333333333NOK