Multiple Linear Regression - Estimated Regression Equation
werkl[t] = + 26.928348083077 -0.184940580085961afzetp[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)26.9283480830772.3518711.449800
afzetp-0.1849405800859610.022887-8.080500


Multiple Linear Regression - Regression Statistics
Multiple R0.6921468536664
R-squared0.479067267040296
Adjusted R-squared0.471730186294385
F-TEST (value)65.2939886626248
F-TEST (DF numerator)1
F-TEST (DF denominator)71
p-value1.18598464382558e-11
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.505111309201547
Sum Squared Residuals18.1147578625144


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
18.48.61923065456692-0.219230654566918
28.48.69320688660125-0.293206886601253
38.48.69320688660125-0.293206886601253
48.68.71170094460985-0.111700944609849
58.98.637724712575460.262275287424537
68.88.545254422532480.254745577467518
78.38.4712781904981-0.171278190498099
87.58.4527841324895-0.952784132489502
97.28.4342900744809-1.23429007448091
107.48.41579601647231-1.01579601647231
118.88.415796016472310.384203983527689
129.38.397301958463710.902698041536286
139.38.378807900455120.921192099544881
148.78.43429007448090.265709925519092
158.28.4527841324895-0.252784132489503
168.38.54525442253248-0.245254422532482
178.58.47127819049810.0287218095019002
188.68.508266306515290.0917336934847071
198.58.43429007448090.0657099255190929
208.28.4527841324895-0.252784132489503
218.18.37880790045512-0.278807900455120
227.98.32332572642933-0.423325726429331
238.68.304831668420730.295168331579266
248.78.286337610412140.413662389587861
258.78.286337610412140.413662389587861
268.58.323325726429330.176674273570669
278.48.230855436386350.169144563613649
288.58.230855436386350.269144563613649
298.78.267843552403540.432156447596458
308.78.230855436386350.469144563613648
318.68.212361378377750.387638621622246
328.58.175373262360560.324626737639440
338.38.082902972317580.217097027682421
3488.04591485630039-0.0459148563003898
358.28.045914856300390.154085143699610
368.17.879468334223020.220531665776976
378.17.805492102188640.294507897811361
3887.842480218205830.157519781794169
397.97.860974276214430.0390257237855717
407.97.879468334223020.0205316657769767
4187.750009928162850.249990071837150
4287.805492102188640.194507897811362
437.97.786998044180040.113001955819957
4487.731515870154260.268484129845745
457.77.694527754137060.00547224586293761
467.27.65753963811987-0.45753963811987
477.57.62055152210268-0.120551522102677
487.37.62055152210268-0.320551522102677
4977.5280812320597-0.528081232059696
5077.45410500002531-0.454105000025314
5177.47259905803391-0.472599058033909
527.27.43561094201672-0.235610942016716
537.37.43561094201672-0.135610942016716
547.17.41711688400812-0.317116884008121
556.87.38012876799093-0.580128767990928
566.47.39862282599953-0.998622825999525
576.17.36163470998233-1.26163470998233
586.57.43561094201672-0.935610942016716
597.77.417116884008120.282883115991879
607.97.361634709982330.538365290017667
617.57.306152535956540.193847464043455
626.97.32464659396514-0.42464659396514
636.67.41711688400812-0.817116884008121
646.97.43561094201672-0.535610942016716
657.77.324646593965140.37535340603486
6687.306152535956550.693847464043455
6787.250670361930760.749329638069245
687.77.324646593965140.37535340603486
697.37.32464659396514-0.0246465939651404
707.47.324646593965140.0753534060348602
718.17.324646593965140.77535340603486
728.37.306152535956550.993847464043455
738.27.306152535956550.893847464043454


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
50.1203080411598090.2406160823196170.879691958840191
60.04597748279735310.09195496559470630.954022517202647
70.05121548942821820.1024309788564360.948784510571782
80.2433886944746960.4867773889493920.756611305525304
90.4134576696862820.8269153393725640.586542330313718
100.3910695352966660.7821390705933320.608930464703334
110.7164655015396960.5670689969206080.283534498460304
120.944071827070370.1118563458592610.0559281729296306
130.9814815841122810.03703683177543700.0185184158877185
140.972841856213880.05431628757223970.0271581437861198
150.9606052532732560.07878949345348740.0393947467267437
160.9441071944902410.1117856110195180.0558928055097588
170.9186949415068650.1626101169862700.0813050584931351
180.8876598422429330.2246803155141340.112340157757067
190.8472136813002380.3055726373995250.152786318699763
200.8137157020807250.3725685958385510.186284297919275
210.7832384114958590.4335231770082830.216761588504141
220.7772621162936960.4454757674126080.222737883706304
230.7362789026911740.5274421946176520.263721097308826
240.7004337035217740.5991325929564510.299566296478226
250.656676670530270.686646658939460.34332332946973
260.5900740924603850.8198518150792310.409925907539615
270.5191745296713520.9616509406572970.480825470328648
280.4502245162518850.900449032503770.549775483748115
290.3998497437969760.7996994875939520.600150256203024
300.3536328811602140.7072657623204280.646367118839786
310.3009915187948890.6019830375897790.69900848120511
320.2498349678655820.4996699357311640.750165032134418
330.2060284105475350.412056821095070.793971589452465
340.1808292000887150.3616584001774290.819170799911285
350.1443394631874280.2886789263748550.855660536812572
360.1167766808545670.2335533617091350.883223319145433
370.09483045517064520.1896609103412900.905169544829355
380.07539013894759230.1507802778951850.924609861052408
390.05956563200342970.1191312640068590.94043436799657
400.04635429430976680.09270858861953350.953645705690233
410.03756426622842610.07512853245685220.962435733771574
420.03239288880960170.06478577761920340.967607111190398
430.02994984118574840.05989968237149690.970050158814252
440.03817930951778770.07635861903557540.961820690482212
450.04768746432787100.09537492865574190.95231253567213
460.05797019528664740.1159403905732950.942029804713353
470.07789095635105460.1557819127021090.922109043648945
480.1442463440481310.2884926880962620.855753655951869
490.1725959537997150.345191907599430.827404046200285
500.1542857361317110.3085714722634220.845714263868289
510.1452132209394760.2904264418789520.854786779060524
520.1254682952580990.2509365905161970.874531704741901
530.1240403941020290.2480807882040580.875959605897971
540.1002206722600850.2004413445201710.899779327739915
550.08846991844528680.1769398368905740.911530081554713
560.1290072644898560.2580145289797120.870992735510144
570.5357715240639570.9284569518720860.464228475936043
580.5572174264906940.8855651470186120.442782573509306
590.6540747954864850.691850409027030.345925204513515
600.7280493589347220.5439012821305570.271950641065278
610.6846209530185270.6307580939629450.315379046981473
620.8600418860389050.279916227922190.139958113961095
630.862934255586660.2741314888266780.137065744413339
640.7914626652276040.4170746695447930.208537334772396
650.7048182441547890.5903635116904230.295181755845211
660.616725096239420.7665498075211610.383274903760581
670.7926082266749280.4147835466501440.207391773325072
680.6496996414512380.7006007170975250.350300358548762


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level10.015625OK
10% type I error level100.15625NOK