Multiple Linear Regression - Estimated Regression Equation
Investgoed[t] = + 2.26371392062023 + 0.970890252831042Uitvoer[t] -27.0259952474602M1[t] -18.0960455070252M2[t] -10.3481032400426M3[t] -13.9322023492286M4[t] -13.4373301649736M5[t] -0.228784107182265M6[t] -14.9263279733971M7[t] -8.48247154905135M8[t] -4.74716796666329M9[t] -9.9347654845262M10[t] -11.4879879092140M11[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)2.263713920620237.5520770.29970.7656920.382846
Uitvoer0.9708902528310420.05159218.818600
M1-27.02599524746023.190163-8.471700
M2-18.09604550702523.432269-5.27233e-062e-06
M3-10.34810324004263.120221-3.31650.0017640.000882
M4-13.93220234922863.117429-4.46914.9e-052.5e-05
M5-13.43733016497363.149149-4.2679.5e-054.8e-05
M6-0.2287841071822653.295157-0.06940.9449420.472471
M7-14.92632797339713.232022-4.61833e-051.5e-05
M8-8.482471549051353.210537-2.64210.0111560.005578
M9-4.747167966663293.116377-1.52330.1343850.067193
M10-9.93476548452623.169961-3.1340.0029680.001484
M11-11.48798790921403.159798-3.63570.0006860.000343


Multiple Linear Regression - Regression Statistics
Multiple R0.969120209849607
R-squared0.939193981138947
Adjusted R-squared0.923669040153146
F-TEST (value)60.4958165057075
F-TEST (DF numerator)12
F-TEST (DF denominator)47
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation4.92674642846338
Sum Squared Residuals1140.82302740770


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
179.881.9094307517059-2.10943075170587
283.477.12070121963886.27929878036116
3113.6111.3933651939662.20663480603439
4112.9108.1296598682144.77034013178617
5104105.605063366164-1.60506336616429
6109.9114.007702672442-4.10770267244194
79994.523669859774.47633014022993
8106.3104.9384674181951.36153258180521
9128.9125.7031860352393.19681396476068
10111.1111.903791974765-0.80379197476507
11102.9106.136905852791-3.23690585279057
12130126.8483511638993.15164883610054
138784.2104406509162.78955934908395
1487.585.65482654202371.84517345797628
15117.6120.626531498389-3.0265314983888
16103.4107.284985348251-3.8849853482508
17110.8116.789719078778-5.9897190787779
18112.6122.959310803544-10.3593108035442
19102.5104.776270929666-2.27627092966585
20112.4112.812387368655-0.412387368654536
21135.6138.80049554593-3.20049554593010
22105.1107.447405714271-2.34740571427059
23127.7121.1177424539746.58225754602643
24137134.9844114826242.01558851737642
259193.0746686592635-2.07466865926346
2690.592.5481473371241-2.04814733712411
27122.4122.422678466126-0.0226784661262075
28123.3121.9745548735841.32544512641552
29124.3122.6733140109341.62668598906599
30120118.3184553950121.68154460498822
31118.1114.2230330897123.87696691028810
32119118.3270440047350.672955995265134
33142.7140.6743137338942.02568626610601
34123.6117.0106747046566.58932529534365
35129.6123.6906016239765.90939837602416
36151.6142.0233658156499.57663418435136
37110.4106.9292725671623.47072743283759
3899.2103.082306580341-3.88230658034092
39130.5124.7625239754495.73747602455095
40136.2136.916555864654-0.716555864654212
41129.7127.3821317371652.31786826283543
42128121.9010404279586.09895957204168
43121.6127.504811748441-5.90481174844057
44135.8135.6768528228260.123147177174423
45143.8140.8296561743472.97034382565304
46147.5146.2247624123421.27523758765761
47136.2133.8849492787022.31505072129821
48156.6162.509150150384-5.90915015038364
49123.3125.376187370952-2.07618737095221
50104.5106.694018320872-2.1940183208724
51139.8144.694900866070-4.89490086607033
52136.5137.994244045297-1.49424404529667
53112.1108.4497718069593.65022819304077
54118.5111.8134907010446.68650929895621
5594.494.5722143724116-0.172214372411607
56102.3104.045248385590-1.74524838559023
57111.4116.392348510590-4.99234851058963
5899.2103.913365193966-4.7133651939656
5987.899.3698007905582-11.5698007905582
60115.8124.634721387445-8.83472138744469


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
160.425679275372330.851358550744660.57432072462767
170.2782051418201660.5564102836403330.721794858179833
180.2507011336688460.5014022673376910.749298866331154
190.1543075490998680.3086150981997370.845692450900132
200.09200354258702730.1840070851740550.907996457412973
210.04977211422702820.09954422845405650.950227885772972
220.03388400997234980.06776801994469960.96611599002765
230.2820279845853770.5640559691707550.717972015414623
240.2072924833079930.4145849666159850.792707516692007
250.1393214621063800.2786429242127600.86067853789362
260.1044065984542360.2088131969084720.895593401545764
270.06723098832767810.1344619766553560.932769011672322
280.05050265782884770.1010053156576950.949497342171152
290.05574844223013610.1114968844602720.944251557769864
300.08156843135463970.1631368627092790.91843156864536
310.07232234218642740.1446446843728550.927677657813573
320.04469218709039540.08938437418079080.955307812909605
330.02828042142364560.05656084284729120.971719578576354
340.04895140566106330.09790281132212650.951048594338937
350.06250160579232790.1250032115846560.937498394207672
360.3478753994331270.6957507988662530.652124600566873
370.3405464947805740.6810929895611470.659453505219426
380.2987969018214190.5975938036428390.70120309817858
390.57415960426030.85168079147940.4258403957397
400.4587893121923270.9175786243846550.541210687807673
410.385085294235090.770170588470180.61491470576491
420.3532110782014320.7064221564028650.646788921798568
430.6341708562921490.7316582874157020.365829143707851
440.5400251370826650.919949725834670.459974862917335


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 level50.172413793103448NOK