Multiple Linear Regression - Estimated Regression Equation
Inschrijvingen[t] = + 19.2342063492064 + 2.4170746409675M1[t] -1.29556500377929M2[t] -7.54350850340136M3[t] + 9.08754799697657M4[t] + 7.3261044973545M5[t] + 11.7308276643991M6[t] + 8.42988416477702M7[t] + 5.52210733182162M8[t] + 5.51366383219955M9[t] -0.669113000755858M10[t] -1.4887231670446M11[t] + 0.0246101662887377t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)19.23420634920641.06040718.138500
M12.41707464096751.2530771.92890.0584760.029238
M2-1.295565003779291.304849-0.99290.3247540.162377
M3-7.543508503401361.303689-5.786300
M49.087547996976571.3026496.976200
M57.32610449735451.3017315.6281e-060
M611.73082766439911.3009359.017200
M78.429884164777021.3002616.483200
M85.522107331821621.299714.24877.6e-053.8e-05
M95.513663832199551.299284.24367.7e-053.9e-05
M10-0.6691130007558581.298974-0.51510.608370.304185
M11-1.48872316704461.29879-1.14620.2562470.128124
t0.02461016628873770.0126241.94950.0559150.027958


Multiple Linear Regression - Regression Statistics
Multiple R0.934533246479811
R-squared0.873352388776096
Adjusted R-squared0.848022866531315
F-TEST (value)34.4796234345103
F-TEST (DF numerator)12
F-TEST (DF denominator)60
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.24946353602907
Sum Squared Residuals303.605171995465


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
119.78521.6758911564626-1.89089115646257
218.47917.98786167800450.491138321995464
310.69811.7645283446712-1.0665283446712
431.95628.42019501133793.53580498866213
529.50626.68336167800452.82263832199547
634.50631.11269501133793.39330498866213
727.16527.8363616780045-0.671361678004535
826.73624.95319501133791.78280498866213
923.69124.9693616780045-1.27836167800454
1018.15718.8111950113379-0.654195011337869
1117.32818.0161950113379-0.68819501133787
1218.20519.5295283446712-1.3245283446712
1320.99521.9712131519274-0.97621315192744
1417.38218.2831836734694-0.901183673469387
159.36712.0598503401361-2.69285034013605
1631.12428.71551700680272.40848299319728
1726.55126.9786836734694-0.42768367346939
1830.65131.4080170068027-0.757017006802722
1925.85928.1316836734694-2.27268367346939
2025.125.2485170068027-0.14851700680272
2125.77825.26468367346940.51331632653061
2220.41819.10651700680271.31148299319728
2318.68818.31151700680270.376482993197277
2420.42419.82485034013610.599149659863944
2524.77622.26653514739232.50946485260771
2619.81418.57850566893421.23549433106576
2712.73812.35517233560090.382827664399091
2831.56629.01083900226762.55516099773243
2930.11127.27400566893422.83699433106576
3030.01931.7033390022676-1.68433900226758
3131.93428.42700566893423.50699433106576
3225.82625.54383900226760.282160997732427
3326.83525.56000566893421.27499433106576
3420.20519.40183900226760.803160997732424
3517.78918.6068390022676-0.817839002267572
3620.5220.12017233560090.399827664399092
3722.51822.5618571428571-0.0438571428571448
3815.57218.8738276643991-3.30182766439909
3911.50912.6504943310658-1.14149433106576
4025.44729.3061609977324-3.85916099773243
4124.0927.5693276643991-3.47932766439909
4227.78631.9986609977324-4.21266099773242
4326.19528.7223276643991-2.52732766439909
4420.51625.8391609977324-5.32316099773243
4522.75925.8553276643991-3.09632766439909
4619.02819.6971609977324-0.669160997732427
4716.97118.9021609977324-1.93116099773243
4820.03620.4154943310658-0.379494331065759
4922.48522.857179138322-0.372179138321998
5018.7319.1691496598639-0.439149659863945
5114.53812.94581632653061.59218367346939
5227.56129.6014829931973-2.04048299319728
5325.98527.8646496598639-1.87964965986395
5434.6732.29398299319732.37601700680272
5532.06629.01764965986393.04835034013606
5627.18626.13448299319731.05151700680272
5729.58626.15064965986393.43535034013605
5821.35919.99248299319731.36651700680272
5921.55319.19748299319732.35551700680272
6019.57320.7108163265306-1.13781632653061
6124.25623.15250113378681.10349886621315
6222.3819.46447165532882.9155283446712
6316.16713.24113832199552.92586167800454
6427.29729.8968049886621-2.59980498866213
6528.28728.15997165532880.127028344671201
6633.47432.58930498866210.884695011337866
6728.22929.3129716553288-1.0839716553288
6828.78526.42980498866212.35519501133787
6925.59726.4459716553288-0.848971655328796
7018.1320.2878049886621-2.15780498866213
7120.19819.49280498866210.705195011337869
7222.84921.00613832199551.84286167800454
7323.11823.4478231292517-0.329823129251704


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
160.06050012949669760.1210002589933950.939499870503302
170.06997417323223380.1399483464644680.930025826767766
180.08614052966477530.1722810593295510.913859470335225
190.04203066836802060.08406133673604120.957969331631979
200.01796118006303350.0359223601260670.982038819936967
210.03963538301838140.07927076603676270.960364616981619
220.05474203306478480.109484066129570.945257966935215
230.04136373790149810.08272747580299620.958636262098502
240.03933302059913360.07866604119826720.960666979400866
250.108941806385530.217883612771060.89105819361447
260.07980013225141460.1596002645028290.920199867748585
270.06136091709995450.1227218341999090.938639082900045
280.06984476617940510.139689532358810.930155233820595
290.08320653671874590.1664130734374920.916793463281254
300.1050787127311480.2101574254622950.894921287268852
310.2597849931582140.5195699863164270.740215006841786
320.2261792583950830.4523585167901670.773820741604917
330.2125166355072110.4250332710144210.787483364492789
340.198875839132270.3977516782645410.80112416086773
350.1578186931375050.3156373862750090.842181306862495
360.1371076318819360.2742152637638710.862892368118064
370.1186183592761670.2372367185523340.881381640723833
380.1848651372626110.3697302745252220.815134862737389
390.1415177428864690.2830354857729390.858482257113531
400.3294670751744590.6589341503489170.670532924825541
410.374931279972460.7498625599449190.62506872002754
420.4731975731406680.9463951462813360.526802426859332
430.4311485560932770.8622971121865540.568851443906723
440.7300706216401190.5398587567197610.269929378359881
450.791861138464250.41627772307150.20813886153575
460.7191632654039120.5616734691921750.280836734596088
470.7571835732102060.4856328535795880.242816426789794
480.6926241550807850.6147516898384310.307375844919215
490.6304592763098970.7390814473802070.369540723690103
500.7033219336248030.5933561327503940.296678066375197
510.7116688827625830.5766622344748340.288331117237417
520.6206117294354890.7587765411290220.379388270564511
530.640867055280450.7182658894391010.35913294471955
540.5681529680802410.8636940638395180.431847031919759
550.5820115209598860.8359769580802280.417988479040114
560.5449819613780230.9100360772439550.455018038621977
570.5564002818900790.8871994362198420.443599718109921


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level10.0238095238095238OK
10% type I error level50.119047619047619NOK