Multiple Linear Regression - Estimated Regression Equation
werkeloosheid[t] = -975.383322583056 -9.02296103619653bbp[t] + 5.00099684972349cpi[t] + 8.54402472806781kostenbouwsector[t] -2.76326468981967Q1[t] -6.72129040195627Q2[t] + 0.326178192550799Q3[t] -1.71225555914957t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-975.383322583056143.612393-6.791800
bbp-9.022961036196532.519683-3.5810.0007960.000398
cpi5.000996849723491.0530894.74891.9e-059e-06
kostenbouwsector8.544024728067811.301786.563300
Q1-2.7632646898196713.037535-0.21190.8330460.416523
Q2-6.7212904019562713.007237-0.51670.6077140.303857
Q30.32617819255079913.0117590.02510.9801050.490052
t-1.712255559149570.46866-3.65350.0006390.00032


Multiple Linear Regression - Regression Statistics
Multiple R0.90154782575271
R-squared0.812788482119439
Adjusted R-squared0.785486802428523
F-TEST (value)29.7706401701687
F-TEST (DF numerator)7
F-TEST (DF denominator)48
p-value2.1094237467878e-15
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation34.3553487627989
Sum Squared Residuals56653.9194534502


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1277222.42251701496554.5774829850347
2232252.865239935458-20.8652399354577
3256297.856485040939-41.8564850409387
4242271.165009768285-29.1650097682853
5302286.6934769182115.3065230817899
6282304.570210924162-22.5702109241622
7288302.340431894702-14.3404318947023
8321296.28003395652924.7199660434711
9316310.8294684432035.1705315567968
10396327.24823347777668.7517665222238
11362360.1524259768451.84757402315502
12392402.771021144992-10.7710211449916
13414429.407508238078-15.407508238078
14417408.1071464820358.89285351796466
15476461.16348000745514.8365199925446
16488473.14900414167514.8509958583249
17489482.6974417786266.30255822137417
18467502.659234691543-35.6592346915431
19460476.882440384845-16.882440384845
20482483.866967669341-1.86696766934112
21510470.36848638417539.6315136158247
22493478.72216299880914.2778370011908
23476449.88127712189526.1187228781046
24448464.451956518202-16.451956518202
25410399.68932686462910.3106731353707
26466387.5600797722478.4399202277595
27417380.32930389305736.6706961069428
28387400.379916447216-13.3799164472159
29370405.406293542572-35.4062935425719
30344387.170023356745-43.1700233567449
31396378.48127850618217.5187214938176
32349390.466802640402-41.466802640402
33326359.401335590972-33.4013355909719
34303362.275079047754-59.2750790477536
35300325.369104750901-25.3691047509007
36329340.418720455336-11.418720455336
37304361.57527439057-57.5752743905702
38286325.271922085357-39.2719220853571
39281317.562209898045-36.562209898045
40377324.06780087441252.9321991255875
41344330.07321063301913.9267893669811
42369333.42589039792935.5741096020707
43390347.78406446948342.2159355305167
44406384.90156643278521.0984335672154
45426421.0399508701964.96004912980374
46467450.0247048193116.9752951806899
47437468.42600312433-31.4260031243302
48410422.709573116033-12.7095731160333
49390424.862332362617-34.8623323626171
50418414.1910542416073.8089457583926
51398419.526267276965-21.5262672769649
52422438.118910859745-16.1189108597445
53439412.53337696816726.4666230318334
54419424.909017769273-5.90901776927346
55484435.24522765435448.7547723456455
56491451.25271597504739.7472840249529


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
110.4356457372785360.8712914745570710.564354262721464
120.2908767113326310.5817534226652620.709123288667369
130.2500063425831740.5000126851663490.749993657416826
140.2021246819906990.4042493639813980.797875318009301
150.138665540498930.277331080997860.86133445950107
160.1115574305631120.2231148611262240.888442569436888
170.07046365710051770.1409273142010350.929536342899482
180.1964077617503810.3928155235007620.803592238249619
190.1637424634297130.3274849268594270.836257536570287
200.1078313628787760.2156627257575530.892168637121224
210.0806659799977290.1613319599954580.919334020002271
220.05159059453461170.1031811890692230.948409405465388
230.03908475066050350.07816950132100710.960915249339496
240.0540373164506610.1080746329013220.945962683549339
250.07325578251111350.1465115650222270.926744217488886
260.2099253279075730.4198506558151470.790074672092427
270.2974353360785640.5948706721571280.702564663921436
280.3795279242199320.7590558484398650.620472075780068
290.5110999085844370.9778001828311250.488900091415563
300.5816059725048070.8367880549903860.418394027495193
310.842132501944280.315734996111440.15786749805572
320.8211417135141260.3577165729717470.178858286485874
330.8772747962925560.2454504074148870.122725203707444
340.8819671381673850.236065723665230.118032861832615
350.8283650969663490.3432698060673020.171634903033651
360.7673969119626560.4652061760746890.232603088037344
370.7097902236331010.5804195527337970.290209776366899
380.7017374957285110.5965250085429780.298262504271489
390.8381820544144590.3236358911710810.16181794558554
400.9129388080509070.1741223838981860.0870611919490932
410.8552945023327640.2894109953344720.144705497667236
420.8004564221174030.3990871557651940.199543577882597
430.7600761918131850.479847616373630.239923808186815
440.7024392596216060.5951214807567880.297560740378394
450.5399053207688060.9201893584623890.460094679231194


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 level10.0285714285714286OK