Multiple Linear Regression - Estimated Regression Equation
Verkoop[t] = + 12478.0714285714 + 57139.9627976191M1[t] + 29412.8363095238M2[t] + 35615.28125M3[t] + 28156.4404761905M4[t] + 29801.3139880952M5[t] + 36841.7589285714M6[t] + 27735.0610119048M7[t] + 24625.6488095238M8[t] + 29635.8080357143M9[t] + 28542.5386904762M10[t] + 22887.412202381M11[t] -55.4449404761905t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)12478.07142857141741.6702187.164400
M157139.96279761912142.41673326.670800
M229412.83630952382140.80297613.739200
M335615.281252139.3418616.647800
M428156.44047619052138.033713.169300
M529801.31398809522136.87877613.946200
M636841.75892857142135.87733717.24900
M727735.06101190482135.02959812.990500
M824625.64880952382134.33574311.537900
M929635.80803571432133.79592313.888800
M1028542.53869047622133.41025313.378800
M1122887.4122023812133.17881710.729300
t-55.444940476190518.142398-3.05610.0031590.001579


Multiple Linear Regression - Regression Statistics
Multiple R0.959244190023146
R-squared0.920149416093161
Adjusted R-squared0.906653542756793
F-TEST (value)68.1800572041263
F-TEST (DF numerator)12
F-TEST (DF denominator)71
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation3990.66780371628
Sum Squared Residuals1130705495.89286


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
16889769562.5892857143-665.589285714273
23868341780.0178571429-3097.01785714286
34472047927.0178571428-3207.01785714285
43952540412.7321428572-887.732142857155
54531542002.16071428573312.83928571427
65038048987.16071428571392.8392857143
74060039825.0178571429774.982142857135
83627936660.1607142857-381.160714285716
94243841614.875823.125
103806440466.1607142857-2402.16071428572
113187934755.5892857143-2876.58928571429
121137911812.7321428571-433.73214285714
137024968897.251351.75
143925341114.6785714286-1861.67857142857
154706047261.6785714286-201.678571428572
164169739747.39285714291949.60714285715
173870841336.8214285714-2628.82142857142
184926748321.8214285714945.178571428568
193901839159.6785714286-141.678571428569
203222835994.8214285714-3766.82142857143
214087040949.5357142857-79.5357142857137
223938339800.8214285714-417.821428571427
233457134090.25480.750000000002
241206611147.3928571429918.607142857143
257093868231.91071428572706.08928571428
263407740449.3392857143-6372.33928571428
274540946596.3392857143-1187.33928571429
284080939082.05357142861726.94642857143
293701340671.4821428571-3658.48214285714
304495347656.4821428571-2703.48214285714
313784838494.3392857143-646.339285714284
323274535329.4821428571-2584.48214285714
333940140284.1964285714-883.196428571427
343493139135.4821428571-4204.48214285714
353300833424.9107142857-416.910714285713
36862010482.0535714286-1862.05357142857
376890667566.57142857141339.42857142857
383955639784-227.999999999999
3950669459314738
403643238416.7142857143-1984.71428571428
414089140006.1428571429884.857142857146
424842846991.14285714291436.85714285714
433622237829-1607
443342534664.1428571429-1239.14285714286
453940139618.8571428571-217.857142857142
463796738470.1428571429-503.142857142856
473480132759.57142857142041.42857142857
48126579816.714285714292840.28571428571
496911666901.23214285712214.76785714285
504151939118.66071428572400.33928571429
515132145265.66071428576055.33928571428
523852937751.375777.625000000004
534154739340.80357142862206.19642857143
545207346325.80357142865747.19642857142
553840137163.66071428571237.33928571429
564089833998.80357142866899.19642857143
574043938953.51785714291485.48214285714
584188837804.80357142864083.19642857143
593789832094.23214285715803.76785714286
6087719151.375-380.375
616818466235.89285714291948.10714285714
625053038453.321428571412076.6785714286
634722144600.32142857142620.67857142857
644175637086.03571428574669.96428571429
654563338675.46428571436957.53571428571
664813845660.46428571432477.53571428571
673948636498.32142857142987.67857142857
683934133333.46428571436007.53571428571
694111738288.17857142862828.82142857143
704162937139.46428571434489.53571428571
712972231428.8928571429-1706.89285714286
7270548486.03571428572-1432.03571428572
735667665570.5535714286-8894.55357142857
743487037787.9821428571-2917.98214285714
753511743934.9821428571-8817.98214285714
763016936420.6964285714-6251.69642857143
773093638010.125-7074.125
783569944995.125-9296.125
793322835832.9821428571-2604.98214285714
802773332668.125-4935.125
813366637622.8392857143-3956.83928571429
823542936474.125-1045.125
832743830763.5535714286-3325.55357142857
8481707820.69642857143349.303571428571


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
160.00314678032168490.00629356064336980.996853219678315
170.1644853569517930.3289707139035870.835514643048207
180.0825483590844440.1650967181688880.917451640915556
190.03974873517355840.07949747034711670.960251264826442
200.02997916215861440.05995832431722890.970020837841386
210.01335338698334970.02670677396669940.98664661301665
220.007014565818463780.01402913163692760.992985434181536
230.004840564077165480.009681128154330970.995159435922835
240.002077850440182360.004155700880364720.997922149559818
250.001016844873303640.002033689746607290.998983155126696
260.002216655624163310.004433311248326620.997783344375837
270.001012164830874230.002024329661748450.998987835169126
280.0004452583459652950.0008905166919305890.999554741654035
290.0006254207468970830.001250841493794170.999374579253103
300.0006087405109505940.001217481021901190.999391259489049
310.0002744310091705360.0005488620183410720.999725568990829
320.0001514815985854610.0003029631971709220.999848518401415
336.91038568810129e-050.0001382077137620260.999930896143119
346.96353220422635e-050.0001392706440845270.999930364677958
353.94892344527214e-057.89784689054428e-050.999960510765547
362.53073627633501e-055.06147255267003e-050.999974692637237
371.11827926846848e-052.23655853693695e-050.999988817207315
383.01734527774741e-056.03469055549482e-050.999969826547223
390.0001550072465478710.0003100144930957420.999844992753452
400.0001487577887472760.0002975155774945520.999851242211253
419.56311511331242e-050.0001912623022662480.999904368848867
425.12898003509668e-050.0001025796007019340.999948710199649
434.53062056899762e-059.06124113799524e-050.99995469379431
446.20522679736367e-050.0001241045359472730.999937947732026
454.83152214827383e-059.66304429654767e-050.999951684778517
460.0001079920620254760.0002159841240509520.999892007937975
470.0001239747323074760.0002479494646149520.999876025267692
480.0001273097475640960.0002546194951281920.999872690252436
496.01245443029656e-050.0001202490886059310.999939875455697
500.0002784979869877040.0005569959739754070.999721502013012
510.0004232210692009440.0008464421384018870.999576778930799
520.0003497203842271330.0006994407684542650.999650279615773
530.000296690235752370.000593380471504740.999703309764248
540.00029137773867220.0005827554773444010.999708622261328
550.0003416710344439560.0006833420688879110.999658328965556
560.0009410651388442690.001882130277688540.999058934861156
570.001140516574927550.002281033149855110.998859483425072
580.00271160891033810.005423217820676210.997288391089662
590.002145867942111330.004291735884222670.997854132057889
600.03311773860790240.06623547721580480.966882261392098
610.02330985234734710.04661970469469410.976690147652653
620.1371694644507420.2743389289014840.862830535549258
630.1176277281248110.2352554562496220.882372271875189
640.09716054637908530.1943210927581710.902839453620915
650.1983264722980450.3966529445960890.801673527701956
660.2938833511012080.5877667022024160.706116648898792
670.1890495766423980.3780991532847960.810950423357602
680.3938026903838030.7876053807676060.606197309616197


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level380.716981132075472NOK
5% type I error level410.773584905660377NOK
10% type I error level440.830188679245283NOK