Multiple Linear Regression - Estimated Regression Equation
Overlijdens[t] = + 9719.03333333333 + 626.820634920639M1[t] -537.753968253968M2[t] -53.9952380952378M3[t] -876.236507936508M4[t] -1164.81111111111M5[t] -1408.71904761905M6[t] -1177.79365079365M7[t] -1488.70158730159M8[t] -1642.10952380952M9[t] -1019.51746031746M10[t] -1055.92539682540M11[t] -7.92539682539685t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)9719.03333333333176.68116655.008900
M1626.820634920639216.336342.89740.0052720.002636
M2-537.753968253968216.113548-2.48830.0156790.007839
M3-53.9952380952378215.911776-0.25010.8033940.401697
M4-876.236507936508215.731083-4.06170.0001467.3e-05
M5-1164.81111111111215.571523-5.40341e-061e-06
M6-1408.71904761905215.433142-6.53900
M7-1177.79365079365215.31598-5.47011e-060
M8-1488.70158730159215.220073-6.917100
M9-1642.10952380952215.14545-7.632600
M10-1019.51746031746215.092131-4.73991.4e-057e-06
M11-1055.92539682540215.060134-4.90998e-064e-06
t-7.925396825396852.141944-3.70010.0004750.000238


Multiple Linear Regression - Regression Statistics
Multiple R0.899080149210731
R-squared0.80834511470479
Adjusted R-squared0.769364460068477
F-TEST (value)20.7370841317721
F-TEST (DF numerator)12
F-TEST (DF denominator)59
p-value1.11022302462516e-16
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation372.476602880371
Sum Squared Residuals8185590.3619048


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
11110010337.9285714286762.071428571448
289629165.42857142857-203.428571428571
391739641.2619047619-468.261904761906
487388811.09523809524-73.0952380952388
584598514.59523809524-55.595238095239
680788262.7619047619-184.761904761905
784118485.7619047619-74.7619047619057
882918166.92857142857124.071428571428
978108005.59523809524-195.595238095238
1086168620.2619047619-4.26190476190573
1183128575.92857142857-263.928571428572
1296929623.9285714285768.0714285714281
13991110242.8238095238-331.823809523814
1489159070.32380952381-155.32380952381
1594529546.15714285714-94.1571428571432
1691128715.99047619048396.009523809523
1784728419.4904761904852.5095238095234
1882308167.6571428571462.3428571428566
1983848390.65714285714-6.65714285714329
2086258071.82380952381553.17619047619
2182217910.49047619048310.509523809523
2286498525.15714285714123.842857142857
2386258480.82380952381144.17619047619
24104439528.82380952381914.17619047619
251035710147.7190476191209.280952380948
2685868975.21904761905-389.219047619048
2788929451.05238095238-559.052380952381
2883298620.88571428571-291.885714285714
2981018324.38571428571-223.385714285714
3079228072.55238095238-150.552380952381
3181208295.55238095238-175.552380952381
3278387976.71904761905-138.719047619048
3377357815.38571428571-80.3857142857145
3484068430.05238095238-24.0523809523811
3582098385.71904761905-176.719047619048
3694519433.7190476190517.2809523809524
371004110052.6142857143-11.6142857142896
3894118880.11428571429530.885714285715
39104059355.947619047621049.05238095238
4084678525.78095238095-58.7809523809522
4184648229.28095238095234.719047619048
4281027977.44761904762124.552380952381
4376278200.44761904762-573.447619047619
4475137881.61428571429-368.614285714286
4575107720.28095238095-210.280952380952
4682918334.94761904762-43.9476190476189
4780648290.61428571429-226.614285714286
4893839338.6142857142944.3857142857145
4997069957.50952380953-251.509523809527
5085798785.00952380952-206.009523809524
5194749260.84285714286213.157142857143
5283188430.67619047619-112.67619047619
5382138134.1761904761978.82380952381
5480597882.34285714286176.657142857143
5591118105.342857142861005.65714285714
5677087786.50952380952-78.5095238095234
5776807625.1761904761954.8238095238099
5880148239.84285714286-225.842857142857
5980078195.50952380952-188.509523809523
6087189243.50952380952-525.509523809523
6194869862.40476190477-376.404761904765
6291138689.90476190476423.095238095239
6390259165.7380952381-140.738095238095
6484768335.57142857143140.428571428572
6579528039.07142857143-87.0714285714278
6677597787.2380952381-28.2380952380946
6778358010.2380952381-175.238095238095
6876007691.40476190476-91.4047619047612
6976517530.07142857143120.928571428572
7083198144.7380952381174.261904761906
7188128100.40476190476711.595238095239
7286309148.40476190476-518.404761904761


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
160.814710909953660.3705781800926800.185289090046340
170.6941803329511040.6116393340977920.305819667048896
180.5762436816701030.8475126366597930.423756318329897
190.4412672656249740.8825345312499470.558732734375026
200.4008539446535440.8017078893070890.599146055346456
210.3491725014134080.6983450028268150.650827498586592
220.2511193305923870.5022386611847740.748880669407613
230.1885534620650490.3771069241300980.81144653793495
240.354946966933850.70989393386770.64505303306615
250.3266972900876260.6533945801752520.673302709912374
260.3368741466755250.6737482933510510.663125853324475
270.4171997889352190.8343995778704380.582800211064781
280.4347947547748680.8695895095497350.565205245225132
290.3797558921408570.7595117842817140.620244107859143
300.3091798738117990.6183597476235980.690820126188201
310.2507451611416390.5014903222832780.749254838858361
320.2338636500578350.4677273001156690.766136349942165
330.1751366976550650.3502733953101290.824863302344935
340.1251484314753480.2502968629506960.874851568524652
350.09450197873409840.1890039574681970.905498021265902
360.08731812716015480.1746362543203100.912681872839845
370.06362524666462820.1272504933292560.936374753335372
380.1412358227748770.2824716455497530.858764177225123
390.6516294568516880.6967410862966240.348370543148312
400.573507154322920.8529856913541610.426492845677081
410.5276511541205030.9446976917589930.472348845879497
420.4525664966952240.9051329933904470.547433503304776
430.620476180497260.7590476390054790.379523819502740
440.5984449113829480.8031101772341040.401555088617052
450.5379908919781420.9240182160437160.462009108021858
460.445689941606960.891379883213920.55431005839304
470.440476208252980.880952416505960.55952379174702
480.4482267965196140.8964535930392280.551773203480386
490.3738662514887050.747732502977410.626133748511295
500.3793269041920270.7586538083840530.620673095807973
510.318818555894870.637637111789740.68118144410513
520.2407887305615990.4815774611231990.7592112694384
530.1632613939276830.3265227878553670.836738606072317
540.1065957375035590.2131914750071180.893404262496441
550.7222390934746220.5555218130507560.277760906525378
560.6265720481534220.7468559036931560.373427951846578


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