Multiple Linear Regression - Estimated Regression Equation
werkeloosheid[t] = + 345.737281811736 + 0.779541993504779onderwijshoog[t] + 1.74114776568342onderwijsmiddelbaar[t] + 0.0839055946028946onderwijslaag[t] -0.0106306368341571autochtoon[t] + 0.0537912529222352allochtonen[t] -0.0329443072826697banen[t] -0.0756563545592138vacatures[t] + 0.00355270890608731faillietevenootschappen[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)345.73728181173667.3413675.13415e-063e-06
onderwijshoog0.7795419935047790.2382473.2720.0020050.001003
onderwijsmiddelbaar1.741147765683420.12946613.448700
onderwijslaag0.08390559460289460.1651260.50810.6137380.306869
autochtoon-0.01063063683415710.105454-0.10080.9201320.460066
allochtonen0.05379125292223520.1284840.41870.677370.338685
banen-0.03294430728266970.007442-4.42665.7e-052.8e-05
vacatures-0.07565635455921380.03889-1.94540.0577230.028862
faillietevenootschappen0.003552708906087310.0080690.44030.6617610.33088


Multiple Linear Regression - Regression Statistics
Multiple R0.994330144262836
R-squared0.988692435789752
Adjusted R-squared0.986767744009284
F-TEST (value)513.688708926405
F-TEST (DF numerator)8
F-TEST (DF denominator)47
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation8.53265724495959
Sum Squared Residuals3421.89326401819


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1277261.77933294970615.2206670502938
2232233.541908625068-1.54190862506847
3256264.247044324266-8.24704432426553
4242251.259918487366-9.25991848736553
5302288.89514511748413.104854882516
6282282.022460971758-0.0224609717582293
7288280.059083278897.94091672110976
8321321.596146769462-0.596146769461985
9316310.8827566086215.11724339137896
10396390.9135528500365.08644714996365
11362373.554640665341-11.5546406653409
12392380.30569654370111.6943034562988
13414406.8215948350117.17840516498924
14417426.117353643691-9.11735364369138
15476477.004161810398-1.0041618103976
16488478.5682722191099.43172778089139
17489471.83126707444417.1687329255561
18467478.284120381431-11.2841203814305
19460468.127409718941-8.12740971894077
20482486.739820965378-4.73982096537754
21510507.9384842785462.06151572145395
22493482.04618498033810.9538150196621
23476486.591683279082-10.5916832790819
24448456.44562150658-8.44562150657954
25410413.014718703914-3.01471870391404
26466461.8787269716764.12127302832443
27417418.319238299639-1.31923829963871
28387380.7234208294546.2765791705464
29370373.161774431548-3.16177443154756
30344343.8465375221130.153462477887228
31396398.303440896684-2.30344089668394
32349348.4391836551210.56081634487856
33326332.236893709247-6.23689370924688
34303299.5119989547413.48800104525929
35300302.749977158541-2.74997715854072
36329329.981652442875-0.981652442875325
37304300.195072619333.80492738067022
38286296.767687168185-10.7676871681855
39281289.811072100899-8.81107210089851
40377378.660391090672-1.66039109067166
41344353.151757609367-9.15175760936678
42369358.59094206961310.4090579303865
43390385.7630738467114.23692615328861
44406416.25346560836-10.2534656083596
45426419.6964501700566.30354982994416
46467452.23827341795314.7617265820474
47437429.4290650173247.57093498267586
48410401.2628966443448.73710335565579
49390390.609129706732-0.609129706732383
50418427.44235633683-9.44235633683043
51398401.305528804024-3.30552880402391
52422435.477666249389-13.4776662493886
53439440.705770149015-1.70577014901535
54419424.959395290134-5.95939529013381
55484486.718564366494-2.71856436649423
56491484.220216274376.77978372562973


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
120.6374134999660620.7251730000678770.362586500033938
130.5728995988617450.854200802276510.427100401138255
140.4339297031612690.8678594063225370.566070296838731
150.3436605854023310.6873211708046610.65633941459767
160.42698286419280.85396572838560.5730171358072
170.6002627477639160.7994745044721690.399737252236085
180.58608507158530.8278298568294010.4139149284147
190.5248665818234590.9502668363530830.475133418176541
200.6195631022140010.7608737955719980.380436897785999
210.584412491775120.831175016449760.41558750822488
220.6419109843262130.7161780313475740.358089015673787
230.7677187878517720.4645624242964570.232281212148228
240.7871515034267030.4256969931465930.212848496573297
250.7509843182792980.4980313634414040.249015681720702
260.6889309422779760.6221381154440470.311069057722024
270.611562589430550.77687482113890.38843741056945
280.5456081235908060.9087837528183870.454391876409194
290.5191124995119870.9617750009760260.480887500488013
300.4387534187649170.8775068375298350.561246581235083
310.371777581431650.7435551628632990.62822241856835
320.2952779708353510.5905559416707030.704722029164649
330.3312568903281990.6625137806563980.668743109671801
340.3135070154309820.6270140308619650.686492984569018
350.2826810798337440.5653621596674890.717318920166256
360.366945269397640.7338905387952810.63305473060236
370.3485885437841040.6971770875682080.651411456215896
380.3126086713136230.6252173426272460.687391328686377
390.2536726283364390.5073452566728790.746327371663561
400.2268099151881660.4536198303763320.773190084811834
410.2200685206569920.4401370413139850.779931479343008
420.2490644063264760.4981288126529510.750935593673524
430.8415439258919670.3169121482160670.158456074108033
440.9126805879831040.1746388240337920.0873194120168961


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