Multiple Linear Regression - Estimated Regression Equation
Q1[t] = + 1.05597652413708 + 0.090544186525728Q2[t] -0.0322036004780115Q3[t] + 0.618568493421045Q4[t] + 0.0497931818993269Q5[t] -0.0111985287362562`Q1-V`[t] -0.105481250514253`Q2-v`[t] + 0.1675656578861`Q3-v`[t] + 0.109146622954792`Q4-v`[t] -0.119775534076574`Q5-v`[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)1.055976524137080.7672341.37630.1720930.086046
Q20.0905441865257280.0876491.0330.3043270.152163
Q3-0.03220360047801150.109168-0.2950.7686730.384337
Q40.6185684934210450.0979476.315300
Q50.04979318189932690.1044080.47690.6345690.317285
`Q1-V`-0.01119852873625620.105033-0.10660.9153260.457663
`Q2-v`-0.1054812505142530.126669-0.83270.4071770.203589
`Q3-v`0.16756565788610.1528791.09610.2759430.137971
`Q4-v`0.1091466229547920.1534970.71110.4788630.239431
`Q5-v`-0.1197755340765740.147415-0.81250.4186230.209311


Multiple Linear Regression - Regression Statistics
Multiple R0.605252848920341
R-squared0.366331011126189
Adjusted R-squared0.303660451787021
F-TEST (value)5.84534452841938
F-TEST (DF numerator)9
F-TEST (DF denominator)91
p-value2.12168194557716e-06
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.940362845778564
Sum Squared Residuals80.4696876365891


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
176.403165843828520.596834156171476
255.09106213765076-0.0910621376507561
364.015471698283261.98452830171674
455.00760787002747-0.00760787002747163
565.946952645582040.0530473544179621
664.929522743940031.07047725605997
765.998161872197680.00183812780231977
865.03193240508790.968067594912097
944.05500075757049-0.0550007575704898
1065.182669993118490.81733000688151
1166.2789529082823-0.278952908282297
1234.16087355154312-1.16087355154312
1355.46606541297454-0.466065412974542
1455.15792608307624-0.157926083076243
1523.32944749942923-1.32944749942923
1635.18755413946827-2.18755413946827
1765.821923808571980.178076191428024
1865.519718715432510.480281284567493
1954.940967344261310.0590326557386868
2074.902126619513222.09787338048678
2155.47368230422571-0.473682304225714
2254.963829767305190.0361702326948108
2355.26537422300759-0.265374223007589
2455.08321499256467-0.0832149925646745
2555.08167618011284-0.081676180112836
2666.02946891690245-0.0294689169024512
2755.12970759053314-0.129707590533145
2853.966496320225361.03350367977464
2964.996409341291221.00359065870878
3044.29145607089757-0.291456070897573
3145.32144754084702-1.32144754084702
3265.078407516513480.921592483486523
3333.71964372513787-0.719643725137873
3465.235237787289640.764762212710357
3554.655709340950240.344290659049761
3665.599392704225670.400607295774331
3775.37995786423811.6200421357619
3845.15893893808399-1.15893893808399
3954.694055504838130.305944495161865
4044.34833011555788-0.348330115557879
4155.25404402797827-0.254044027978272
4234.82047058087494-1.82047058087494
4354.937150360125450.0628496398745477
4465.808480002922360.191519997077639
4565.503447668096930.496552331903065
4644.29442832382474-0.294428323824739
4744.05448054683041-0.0544805468304104
4864.989370222108091.01062977789191
4965.847694612787080.152305387212925
5055.87578718574112-0.875787185741123
5165.846681757779330.153318242220673
5244.07764409889236-0.0776440988923633
5345.16130013286705-1.16130013286705
5455.25652224379284-0.256522243792844
5534.37030556271758-1.37030556271758
5665.801196728746740.198803271253257
5765.843251925245560.15674807475444
5844.14388262974548-0.14388262974548
5954.83399329604030.166006703959701
6055.07302931883617-0.0730293188361665
6145.70752507932779-1.70752507932779
6265.30167395879810.698326041201901
6355.50832830695986-0.508328306959862
6444.78003201750325-0.780032017503251
6564.765417998446561.23458200155345
6655.87125979413651-0.871259794136515
6765.416190092345610.583809907654389
6856.1428923537137-1.1428923537137
6965.524323860292650.475676139707346
7054.721691431455530.278308568544466
7144.1207125194558-0.120712519455804
7265.524323860292650.475676139707346
7353.668618380029521.33138161997048
7454.756870594298160.243129405701835
7534.72466699382015-1.72466699382015
7654.769003824114780.230996175885222
7744.79762159892457-0.797621598924566
7854.657284230499510.342715769500489
7953.426213858565731.57378614143427
8076.14289235371370.8571076462863
8175.474530678393331.52546932160667
8253.816876359400611.18312364059939
8344.17905310550352-0.179053105503521
8465.235101719294160.764898280705845
8554.905755366871610.0942446331283904
8655.3839864918676-0.3839864918676
8744.48523803472098-0.485238034720981
8854.806169003072960.193830996927044
8922.95046352280982-0.95046352280982
9075.34323548724121.6567645127588
9144.74782841702524-0.747828417025239
9254.724666993820150.275333006179847
9355.43377967376693-0.433779673766926
9476.107713190871070.892286809128931
9525.41619009234561-3.41619009234561
9644.28718687345056-0.287186873450565
9765.38398649186760.6160135081324
9855.27585272392056-0.275852723920556
9954.657284230499510.342715769500489
10044.69853000825045-0.698530008250449
10144.66632640777244-0.666326407772437


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
130.2128979482024140.4257958964048280.787102051797586
140.1153008370842080.2306016741684160.884699162915792
150.1423839201898070.2847678403796140.857616079810193
160.1543249966107230.3086499932214470.845675003389277
170.1333583477605840.2667166955211680.866641652239416
180.08349591299961880.1669918259992380.916504087000381
190.04671151283810560.09342302567621110.953288487161894
200.2845040731151220.5690081462302440.715495926884878
210.7759346070337080.4481307859325840.224065392966292
220.7847753398025670.4304493203948660.215224660197433
230.723346254808160.553307490383680.27665374519184
240.6498025242842960.7003949514314090.350197475715704
250.59504713320070.80990573359860.4049528667993
260.5849158437317540.8301683125364920.415084156268246
270.5104888915920170.9790222168159670.489511108407983
280.6097516344679670.7804967310640660.390248365532033
290.596247113795940.8075057724081190.40375288620406
300.5267970047867770.9464059904264460.473202995213223
310.6564948033383190.6870103933233630.343505196661681
320.6246432392504750.750713521499050.375356760749525
330.5614689582636590.8770620834726820.438531041736341
340.6150412465053530.7699175069892940.384958753494647
350.5606098369039210.8787803261921590.439390163096079
360.5011894434995410.9976211130009190.498810556500459
370.6160939328500030.7678121342999930.383906067149996
380.633741300808990.732517398382020.36625869919101
390.5776807431289950.844638513742010.422319256871005
400.5152379376174850.9695241247650290.484762062382515
410.4583748723906110.9167497447812210.541625127609389
420.5816327779988680.8367344440022640.418367222001132
430.5212658567667270.9574682864665460.478734143233273
440.4823920303276010.9647840606552010.517607969672399
450.4362883344478740.8725766688957470.563711665552126
460.379067240713610.7581344814272190.62093275928639
470.3211354155531850.642270831106370.678864584446815
480.3290666891828340.6581333783656670.670933310817166
490.277133102024130.5542662040482590.72286689797587
500.2490893234165850.4981786468331710.750910676583415
510.2129051763718230.4258103527436470.787094823628177
520.171059103860490.3421182077209810.82894089613951
530.189397012531790.3787940250635810.81060298746821
540.1516414799547920.3032829599095840.848358520045208
550.1856285563639930.3712571127279870.814371443636007
560.1545390492820530.3090780985641070.845460950717947
570.1571800782798210.3143601565596420.842819921720179
580.1242724983075750.248544996615150.875727501692425
590.09584988970956650.1916997794191330.904150110290433
600.07223372481850.1444674496370.9277662751815
610.0839219951829260.1678439903658520.916078004817074
620.0679775121302080.1359550242604160.932022487869792
630.04982012217727750.09964024435455490.950179877822723
640.0431339497688820.0862678995377640.956866050231118
650.06277541104559670.1255508220911930.937224588954403
660.05190759017497250.1038151803499450.948092409825028
670.04377444453809550.0875488890761910.956225555461904
680.04376302319598250.0875260463919650.956236976804018
690.0340833765755770.0681667531511540.965916623424423
700.02474166266429270.04948332532858540.975258337335707
710.01644690462994690.03289380925989380.983553095370053
720.01174114118725970.02348228237451950.98825885881274
730.01849899524667560.03699799049335120.981501004753324
740.0123383886976420.0246767773952840.987661611302358
750.02270228180223990.04540456360447980.97729771819776
760.01508145320587960.03016290641175910.98491854679412
770.0117581312686540.0235162625373080.988241868731346
780.00722182609399380.01444365218798760.992778173906006
790.02848702821433450.0569740564286690.971512971785666
800.02054141492846230.04108282985692470.979458585071538
810.02816480918408440.05632961836816870.971835190815916
820.02860349781382020.05720699562764040.97139650218618
830.01876938989689150.03753877979378310.981230610103108
840.01328676862590440.02657353725180890.986713231374096
850.007001665188007270.01400333037601450.992998334811993
860.003947195376076740.007894390752153480.996052804623923
870.001731265889167940.003462531778335890.998268734110832
880.0006064180716300250.001212836143260050.99939358192837


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level30.0394736842105263NOK
5% type I error level160.210526315789474NOK
10% type I error level250.328947368421053NOK