Multiple Linear Regression - Estimated Regression Equation
Invoer/inflatie[t] = + 14821.9835564809 + 3533.54666618665`Uitvoer/inflatie`[t] -4143.3985152365Inflatie[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)14821.98355648093900.877483.79970.0003540.000177
`Uitvoer/inflatie`3533.546666186654263.0232160.82890.4106280.205314
Inflatie-4143.3985152365350.717647-11.814100


Multiple Linear Regression - Regression Statistics
Multiple R0.882273496726411
R-squared0.778406523025849
Adjusted R-squared0.770631313307458
F-TEST (value)100.113894186626
F-TEST (DF numerator)2
F-TEST (DF denominator)57
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation1184.69780364966
Sum Squared Residuals80000006.5004223


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
110284.512690.2888406881-2405.78884068811
21279212732.474440728259.5255592717623
312823.6153812731.598184758992.0171952411318
413845.6666713220.0444356176625.622234382379
515335.6363613832.65264004441502.98371995564
611188.512482.4494102115-1293.94941021150
713633.2513335.7871806879297.462819312128
812298.4666712015.5614371031282.905232896909
915353.6363613609.67224832041743.96411167959
1012696.1538512824.4801337744-128.326283774408
1112213.9333312089.9382728987123.995057101252
1213683.7272713535.6789825489148.048287451079
1311214.1428612685.0376475881-1470.89478758814
1413950.2307712772.80093604971177.42983395031
1511179.1333311945.7404312925-766.607101292522
1611801.87511687.758722936114.116277063995
1711188.8235311503.8420820192-315.018552019241
1816456.2727313916.09117852742540.18155147257
1911110.062511730.9295819819-620.867081981874
2016530.6923113039.12106208183491.57124791821
2110038.4117611290.2057268949-1251.79396689487
2211681.2511589.854876197291.3951238028015
2311148.8823511161.3993149243-12.5169649243203
24863110246.6306801802-1615.63068018024
259386.44444411057.0251380707-1670.58069407067
269764.73684210317.5838414097-552.846999409744
2712043.7511608.7160437134435.033956286644
2812948.0666712045.0005627818903.066107218241
2910987.12511774.1752709455-787.050270945493
3011648.312511672.5223276603-24.2098276603152
3110633.3529411217.1271055437-583.774165543736
3210219.39917.796237524301.503762475989
339037.69970.03119500193-932.431195001927
3410296.3157910436.7091800326-140.393390032600
3511705.4117611151.5222640114553.889495988579
3610681.9444410823.1623943402-141.217954340199
379362.94736810493.8716860042-1130.92431800425
3811306.3529411206.0331152932100.319824706810
3910984.4510038.2611366209946.188863379075
4010062.619059734.28344212218328.335607877823
418118.5833338729.04392818293-610.460595182927
428867.488210.36675450854657.113245491456
438346.727947.39688654352399.32311345648
448529.3076927715.24506509635814.062626903653
4510697.181829329.576431034231367.60538896577
468591.848019.56612139174572.273878608257
478695.6071436820.310980435011875.29616256499
488125.5714296810.616391271311314.95503772869
497009.7586216736.8821381928272.876482807193
507883.4666676059.269130860231824.19753613977
517527.6451615671.545104762511856.10005623749
526763.7586216690.7477253599373.0108956400724
536682.3333337528.49608864802-846.162755648021
547855.6818189524.76891636953-1669.08709836953
556738.888083.21275970032-1344.33275970032
567895.4347838911.51609762512-1016.08131462512
576361.8846157561.01679545063-1199.13218045063
586935.9565228772.48147440752-1836.52495240752
598344.4545459260.5166607155-916.062115715505
609107.94444410711.648481313-1603.704037313


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
60.01475781602403610.02951563204807210.985242183975964
70.003704921739942610.007409843479885230.996295078260057
80.2924123230968340.5848246461936670.707587676903166
90.2026050225639280.4052100451278560.797394977436072
100.1248479720661840.2496959441323680.875152027933816
110.1808243106826440.3616486213652870.819175689317356
120.1987839313550040.3975678627100080.801216068644996
130.1528227191224030.3056454382448050.847177280877597
140.1410395074778840.2820790149557680.858960492522116
150.09645880245760540.1929176049152110.903541197542395
160.1125412746751120.2250825493502240.887458725324888
170.1298603463200530.2597206926401060.870139653679947
180.3144998650848080.6289997301696160.685500134915192
190.2438794392173590.4877588784347180.756120560782641
200.8786384929918190.2427230140163620.121361507008181
210.840190796810060.3196184063798810.159809203189941
220.8146192986730890.3707614026538220.185380701326911
230.787547797682070.4249044046358610.212452202317930
240.7908109723383740.4183780553232520.209189027661626
250.756889815022370.486220369955260.24311018497763
260.7293570818321160.5412858363357680.270642918167884
270.7092911269259030.5814177461481940.290708873074097
280.7556998705665990.4886002588668020.244300129433401
290.6961842704524850.607631459095030.303815729547515
300.6571903859677480.6856192280645040.342809614032252
310.5838300199583690.8323399600832630.416169980041631
320.6007142059899830.7985715880200330.399285794010017
330.5463390490953680.9073219018092640.453660950904632
340.4920294708581860.9840589417163730.507970529141814
350.4992030395302280.9984060790604550.500796960469772
360.4464621392580820.8929242785161640.553537860741918
370.3732979062366270.7465958124732530.626702093763373
380.3659240802033140.7318481604066280.634075919796686
390.5449698074103840.9100603851792310.455030192589616
400.6150193757190770.7699612485618460.384980624280923
410.5450051250344920.9099897499310160.454994874965508
420.5839094677038740.8321810645922520.416090532296126
430.5287509536037850.942498092792430.471249046396215
440.5112590128640170.9774819742719670.488740987135983
450.8891697190512450.221660561897510.110830280948755
460.8735725233135010.2528549533729980.126427476686499
470.9206405393721970.1587189212556060.079359460627803
480.9138617658933730.1722764682132550.0861382341066273
490.8577711464517460.2844577070965080.142228853548254
500.8858935885728090.2282128228543830.114106411427191
510.9843966812814420.0312066374371170.0156033187185585
520.9885369575296280.02292608494074390.0114630424703719
530.9707338003969870.0585323992060250.0292661996030125
540.9646641837915460.07067163241690740.0353358162084537


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level10.0204081632653061NOK
5% type I error level40.0816326530612245NOK
10% type I error level60.122448979591837NOK