Multiple Linear Regression - Estimated Regression Equation
Werkloosheid_BRUSSELS_HOOFDSTEDELIJK_GEWEST[t] = + 62563.6644381663 + 1.57460189433131Werkloosheid_ANTWERPEN[t] + 0.390143895024618`Werkloosheid_VLAAMS-BRABANT`[t] + 0.190514181494486`Werkloosheid_WAALS-BRABANT`[t] -0.532879882911811`Werkloosheid_WEST-VLAANDEREN`[t] -1.06054429055137`WerkloosheidOOST-VLAANDEREN`[t] -0.178659030213334Werkloosheid_HENEGOUWEN[t] -0.856280147459766Werkloosheid_LUIK[t] -0.326671455987136Werkloosheid_LIMBURG[t] + 0.455374238448602Werkloosheid_LUXEMBURG[t] + 2.48013083591232`Werkloosheid_NAMEN\r`[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)62563.66443816638977.5010446.968900
Werkloosheid_ANTWERPEN1.574601894331310.1964738.014300
`Werkloosheid_VLAAMS-BRABANT`0.3901438950246180.5234710.74530.458550.229275
`Werkloosheid_WAALS-BRABANT`0.1905141814944860.7932140.24020.8108830.405441
`Werkloosheid_WEST-VLAANDEREN`-0.5328798829118110.296361-1.79810.0764160.038208
`WerkloosheidOOST-VLAANDEREN`-1.060544290551370.383501-2.76540.0072390.00362
Werkloosheid_HENEGOUWEN-0.1786590302133340.189271-0.94390.3484060.174203
Werkloosheid_LUIK-0.8562801474597660.191969-4.46053e-051.5e-05
Werkloosheid_LIMBURG-0.3266714559871360.497867-0.65610.5138530.256927
Werkloosheid_LUXEMBURG0.4553742384486020.8895220.51190.6102880.305144
`Werkloosheid_NAMEN\r`2.480130835912320.6067574.08750.0001135.7e-05


Multiple Linear Regression - Regression Statistics
Multiple R0.982628358041529
R-squared0.965558490027392
Adjusted R-squared0.960707573129841
F-TEST (value)199.046594781898
F-TEST (DF numerator)10
F-TEST (DF denominator)71
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation1252.93930041798
Sum Squared Residuals111459839.227765


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
19768797711.1931456625-24.1931456624716
29851297458.41475778741053.58524221262
39867398213.710029071459.289970929
49602897048.5929473528-1020.59294735274
59801496435.70254389971578.29745610033
69558094428.68625456251151.31374543752
79783896785.35205657371052.64794342626
89776098213.8617539905-453.861753990453
99991398776.51175709981136.48824290025
109758896027.05062441511560.94937558487
119394295670.4478970048-1728.44789700481
129365694662.2712811815-1006.27128118146
139336594490.4037950793-1125.40379507927
149288193974.3905991304-1093.39059913042
159312093634.2979897758-514.297989775837
169106391719.569224229-656.569224229004
179093090905.202676277824.797323722187
189194692520.2936145572-574.293614557225
199462495797.7796807931-1173.77968079309
209548496934.2822180759-1450.28221807591
219586295391.473572796470.526427204036
229553094660.1323584436869.86764155639
239457494234.2983398955339.701660104546
249467793363.85677127231313.14322872766
259384593454.6896117537390.310388246351
269153393006.3987209122-1473.39872091217
279121491827.791116087-613.791116086981
289092291668.3350147213-746.335014721258
298956390058.1295444415-495.129544441531
308994589945.7219207439-0.721920743880667
319185092209.0518741837-359.051874183713
329250594423.7130030309-1918.71300303091
339243792124.1296546039312.87034539612
349387692713.0281557541162.97184424601
359356193099.2934464043461.706553595722
369411993105.88535369651013.11464630346
379526495368.7590030497-104.759003049663
389608996182.6523457532-93.6523457532225
399716096897.4173889187262.582611081273
409864496295.01030316422348.98969683576
419626697183.9505858925-917.950585892512
429793897956.6030082684-18.6030082684264
4399757101342.063480864-1585.06348086382
44101550102845.795431364-1295.79543136444
45102449102130.820880366318.179119634334
46102416101753.83948073662.160519270286
47102491103001.735372156-510.735372156271
48102495105128.957465588-2633.95746558787
49104552104519.3601683932.6398316101341
50104798104487.918946935310.081053065016
51104947104130.814137261816.18586273932
52103950103735.890399249214.109600750809
53102858103113.07222441-255.072224409963
54106952105048.6241039951903.37589600496
55110901108148.9042746492752.09572535112
56107706110396.230109748-2690.23010974763
57111267108630.1296157952636.87038420497
58107643107652.494220787-9.49422078734734
59105387105095.509152783291.490847216667
60105718104906.233929847811.766070152672
61106039107004.665621749-965.665621749387
62106203106970.223411685-767.223411684553
63105558106390.143127813-832.143127812863
64105230105164.9622072165.0377927902213
65104864104759.282428857104.717571143062
66104374104042.951736921331.048263078653
67107450105771.5453140681678.4546859321
68108173107519.565845039653.434154960768
69108629106874.6467647591754.35323524147
70107847105566.1422656792280.85773432086
71107394105234.0373503982159.96264960201
72106278105784.466182765493.533817234868
73107733108026.078391107-293.07839110692
74107573107703.272520059-130.272520059061
75107500107216.853514535283.146485464665
76106382106746.189384165-364.189384164825
77104412106519.527099757-2107.52709975687
78105871106611.158928104-740.158928104065
79108767110189.890747939-1422.89074793866
80109728111532.449540681-1804.44954068127
81109769110035.556031718-266.556031718201
82109609110887.662249768-1278.66224976837


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
140.5615388812458840.8769222375082320.438461118754116
150.4812971541629410.9625943083258820.518702845837059
160.3330280306012970.6660560612025930.666971969398703
170.2626311164457170.5252622328914340.737368883554283
180.175104440916580.3502088818331610.82489555908342
190.1868949120258090.3737898240516170.813105087974191
200.1357819666758180.2715639333516370.864218033324182
210.08644464485832970.1728892897166590.91355535514167
220.06055572201591740.1211114440318350.939444277984083
230.04941590669926160.09883181339852310.950584093300738
240.03395891945612010.06791783891224020.96604108054388
250.02533163062336230.05066326124672460.974668369376638
260.02870515395248960.05741030790497910.97129484604751
270.1008297669973540.2016595339947090.899170233002646
280.1360428557543090.2720857115086170.863957144245691
290.1291182617244960.2582365234489930.870881738275504
300.1412093282321640.2824186564643280.858790671767836
310.1201625251938820.2403250503877640.879837474806118
320.2035555870310210.4071111740620410.796444412968979
330.1783528165966330.3567056331932660.821647183403367
340.1427934314682490.2855868629364990.85720656853175
350.1429536019815530.2859072039631060.857046398018447
360.1150989013995350.230197802799070.884901098600465
370.142990811706680.285981623413360.85700918829332
380.1770162811456820.3540325622913630.822983718854318
390.1423610904045830.2847221808091670.857638909595417
400.1479601569126850.2959203138253710.852039843087315
410.1872065188048590.3744130376097170.812793481195141
420.1452893213676810.2905786427353610.854710678632319
430.1927351226160230.3854702452320470.807264877383977
440.179458382608450.35891676521690.82054161739155
450.176558829877460.3531176597549210.82344117012254
460.1815491252557850.3630982505115710.818450874744215
470.2160997434085980.4321994868171970.783900256591402
480.3134328682089230.6268657364178460.686567131791077
490.3503285402337730.7006570804675460.649671459766227
500.3618445842339190.7236891684678370.638155415766081
510.3709943850164960.7419887700329920.629005614983504
520.3495741834878210.6991483669756420.650425816512179
530.5821921709648810.8356156580702380.417807829035119
540.7386877724352240.5226244551295520.261312227564776
550.9330185658227320.1339628683545360.0669814341772682
560.9792058103782090.04158837924358280.0207941896217914
570.997738788101460.004522423797079090.00226121189853954
580.9959373835356040.008125232928792630.00406261646439631
590.9946832759748250.01063344805035010.00531672402517505
600.9889931586933630.02201368261327460.0110068413066373
610.9783954464209740.04320910715805170.0216045535790259
620.9628933832430430.07421323351391320.0371066167569566
630.9472659292412390.1054681415175230.0527340707587614
640.9040065972563650.1919868054872710.0959934027436353
650.8509143313940330.2981713372119340.149085668605967
660.7834930587538480.4330138824923030.216506941246152
670.8539118937020820.2921762125958370.146088106297918
680.7306070026545270.5387859946909450.269392997345473


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level20.0363636363636364NOK
5% type I error level60.109090909090909NOK
10% type I error level110.2NOK