Multiple Linear Regression - Estimated Regression Equation
OPENVAC[t] = + 2250.36966939532 + 0.921167547866439Y1[t] + 0.147604467143337Y2[t] -0.0352136681864466Y3[t] -0.0684979108690105Y4[t] -1782.24140296891M1[t] -2244.99351674281M2[t] -1446.45969762698M3[t] -2768.68887159723M4[t] -3252.36709616257M5[t] -2662.16780990246M6[t] + 1003.87028803039M7[t] + 778.856112992519M8[t] + 901.696972060029M9[t] + 881.942687673479M10[t] -1391.42130378499M11[t] -2.68490575599361t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)2250.369669395321252.692881.79640.0752220.037611
Y10.9211675478664390.0958869.606900
Y20.1476044671433370.1300411.13510.2588630.129431
Y3-0.03521366818644660.12807-0.2750.7838750.391938
Y4-0.06849791086901050.095391-0.71810.4742620.237131
M1-1782.24140296891733.338533-2.43030.0167330.008367
M2-2244.99351674281729.357054-3.0780.0026410.001321
M3-1446.45969762698758.801315-1.90620.0592770.029638
M4-2768.68887159723813.506152-3.40340.0009350.000467
M5-3252.36709616257812.052227-4.00510.0001145.7e-05
M6-2662.16780990246862.123173-3.08790.0025620.001281
M71003.87028803039918.5878771.09280.2768950.138448
M8778.856112992519927.1540850.84010.4027360.201368
M9901.696972060029812.2947471.11010.2694380.134719
M10881.942687673479743.5163881.18620.2381550.119078
M11-1391.42130378499743.95932-1.87030.0641510.032075
t-2.684905755993615.368187-0.50020.6179860.308993


Multiple Linear Regression - Regression Statistics
Multiple R0.982023446627715
R-squared0.964370049726577
Adjusted R-squared0.959091538574959
F-TEST (value)182.697359544449
F-TEST (DF numerator)16
F-TEST (DF denominator)108
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation1581.2481549845
Sum Squared Residuals270037338.585324


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
14039943191.945750204-2792.94575020402
23676339213.245477128-2450.24547712803
33790336020.75120102421882.24879897577
43553235364.5990504630167.400949536961
53553333248.34828864152284.65171135847
63211033695.7284672838-1585.72846728383
73337434211.4767364604-837.4767364604
83546234805.2566781403656.743321859688
93350837155.8504061575-3647.85040615747
103608035831.6062271961248.393772803855
113456035476.2736357844-916.273635784363
123873735770.25792029092966.74207970915
133814437651.9650322087492.034967791303
143759437134.16766494459.832335059972
153642437292.8743104634-868.874310463432
163684334543.77767433932299.22232566067
173724634330.67329866422915.32670133581
183866135430.13831544763230.86168455236
194045440521.8162168609-67.8162168608912
204492842111.73913746612816.26086253387
214844146540.42151095611900.57848904394
224814050254.3636515297-2114.36365152966
234599847939.2151098277-1941.21510982765
244736946880.2164061496488.783593850354
254955445812.00819016993741.99180983011
264751047657.7335356086-147.733535608623
274487346991.6763278354-2118.67632783545
284534442765.08739275562578.91260724437
294241342245.6700001467167.329999853287
303691240435.6321747027-3523.63217470272
314345238763.05734611494688.94265388506
324214243818.7706000473-1676.77060004726
334438244092.0080462219289.991953778116
344363646086.1319290935-2450.13192909346
354416743051.67961581261115.32038418737
364442344830.2966957705-407.296695770532
374286843232.4013274731-364.401327473056
384390841404.73649830082503.26350169918
394201342883.6876253067-870.687625306688
403884640003.8914770501-1157.89147705007
413508736390.3722938865-1303.37229388651
423302633043.2465884273-17.2465884272728
433464634494.5535007028151.446499297158
443713535804.23410310521330.76589689479
453798538786.3543369174-801.354336917373
464312139998.42313302013122.57686697995
474372242380.34112299561341.65887700440
484363044880.3728424291-1250.37284242906
494223442860.3287800093-626.328780009342
503935140722.3935678774-1371.39356787742
513932738618.5330176471708.466982352912
523570436901.427326586-1197.42732658604
533046633271.2757520878-2805.27575208782
542815528697.2681374790-542.268137479045
552925729587.8739973401-330.873997340107
562999830466.8047557658-468.804755765845
573252931872.3768291491656.623170850894
583478734410.2808224866376.719177513448
593385534486.2371287905-631.237128790494
603455635209.8535128838-653.853512883788
613134833680.2176166612-2332.21761666121
623080530241.2966910508563.703308949204
632835330102.5917668545-1749.59176685455
642451426503.7740461239-1989.77404612391
652110622357.9848660009-1251.98486600087
662134619363.04497400791982.95502599207
672333523047.5845032668287.415496733181
682437925070.4844082993-691.484408299252
692629026670.9141666083-380.91416660827
703008428476.44573950471607.55426049527
712942929804.3732413013-375.37324130135
723063231010.9511049681-378.951104968099
732734929973.0082655776-2624.00826557758
742726426424.1302392007839.869760799304
752747426659.5985341512814.401465848787
762448225548.7867456504-1066.78674565042
772145322565.1590533916-1112.15905339161
781878819919.2518178201-1131.25181782013
791928220771.5742978871-1489.57429788711
801971320917.1740310591-1204.17403105911
812191721808.594402009108.405597991021
822381224045.1773930847-233.177393084652
832378523791.0461857034-6.04618570336439
842469625327.4880009091-631.488000909115
852456224160.0607109091401.939289090947
862358023576.80213747693.19786252310590
872493923418.05531211031520.94468788971
882389923142.3773779351756.622622064904
892145421942.353010896-488.353010895997
901976120143.5136644456-382.513664445586
911981521829.9708299620-2014.97082996202
922078021559.4556798989-779.455679898907
932346222803.6030904417658.396909558336
942500525508.2389994894-503.238999489397
952472525011.7467325244-286.746732524439
962619826209.7663678884-11.7663678883515
972754325502.34451940822040.65548059179
982647126397.466782482173.5332175178714
992655826371.6617746416186.338225358382
1002531724820.3974763813496.602523618725
1012289623149.3263699762-253.326369976211
1022224821393.8831446902854.116855309849
1032340624140.7101948693-734.71019486931
1042507325054.333637863718.6663621362638
1052769127069.6537656193621.346234380717
1063059929708.4970810022890.502918997767
1073194830359.61014231151588.38985768848
1083294633213.8599521344-267.859952134403
1093401232265.64840461531746.35159538469
1103293632682.7900861295253.209913870508
1113297432517.2621573475456.737842652531
1123095130962.6313524599-11.6313524598961
1132981228583.22637653851228.77362346155
1142901027895.29271569571114.70728430431
1153106830720.3823765356347.61762346444
1163244732448.7469683542-1.74696835424703
1173484434249.2234459199594.776554080096
1183567636620.8350235931-944.835023593117
1193538735275.4770849486111.522915051416
1203648836341.9371965762146.062803423847
1213565235335.0714027636316.928597236367
1223348834215.2373198051-727.237319805074
1233291432875.30797261838.6920273820277
1242978130656.2500802553-875.250080255301
1252795127332.6106897701618.3893102299


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
200.3852047998512530.7704095997025060.614795200148747
210.8512253117156450.297549376568710.148774688284355
220.9265000720019270.1469998559961460.073499927998073
230.9404981806430780.1190036387138440.0595018193569219
240.9698872979325740.06022540413485150.0301127020674258
250.969006259879870.06198748024025860.0309937401201293
260.9675039895984520.06499202080309620.0324960104015481
270.9924369515011280.01512609699774330.00756304849887164
280.9912257568093330.01754848638133350.00877424319066673
290.9975918013005520.004816397398895070.00240819869944754
300.9999078407038670.0001843185922653769.2159296132688e-05
310.9999979616220334.07675593405603e-062.03837796702801e-06
320.9999992015693681.59686126486285e-067.98430632431423e-07
330.9999981752455443.64950891174452e-061.82475445587226e-06
340.9999993519831031.29603379487977e-066.48016897439887e-07
350.9999989900809762.01983804891930e-061.00991902445965e-06
360.99999906215951.87568099831732e-069.37840499158658e-07
370.999999140717091.71856582108583e-068.59282910542915e-07
380.9999996831587126.33682575389931e-073.16841287694966e-07
390.999999501210339.97579338842651e-074.98789669421326e-07
400.999999821139773.57720458603036e-071.78860229301518e-07
410.9999999447863761.10427248114406e-075.52136240572031e-08
420.9999998731282082.53743583224956e-071.26871791612478e-07
430.9999998279494263.4410114869186e-071.7205057434593e-07
440.9999998539445782.92110844676388e-071.46055422338194e-07
450.9999997526313944.94737211531031e-072.47368605765516e-07
460.9999999932140971.35718066136823e-086.78590330684113e-09
470.9999999946207021.07585962471232e-085.37929812356159e-09
480.9999999941101971.17796053158051e-085.88980265790255e-09
490.9999999913989611.72020777302895e-088.60103886514477e-09
500.9999999857317742.8536451970047e-081.42682259850235e-08
510.9999999830224653.39550697183265e-081.69775348591633e-08
520.9999999766336914.67326173996472e-082.33663086998236e-08
530.9999999954670719.06585728423044e-094.53292864211522e-09
540.9999999891735842.16528327544464e-081.08264163772232e-08
550.9999999855813142.88373713889153e-081.44186856944576e-08
560.99999997150145.69972012206241e-082.84986006103121e-08
570.999999953360879.32782584453115e-084.66391292226557e-08
580.9999999290727311.41854537231043e-077.09272686155216e-08
590.999999843896633.12206738130407e-071.56103369065204e-07
600.9999997355097845.28980430968667e-072.64490215484334e-07
610.9999998002947233.99410554321873e-071.99705277160936e-07
620.9999998093348273.81330345136359e-071.90665172568179e-07
630.9999998232410283.53517943953992e-071.76758971976996e-07
640.999999825763463.48473077983412e-071.74236538991706e-07
650.9999996406502877.18699425100235e-073.59349712550117e-07
660.9999998795251012.40949798295866e-071.20474899147933e-07
670.9999998682286912.63542617196725e-071.31771308598363e-07
680.9999997021950955.95609809569991e-072.97804904784996e-07
690.9999993338302481.33233950305508e-066.66169751527541e-07
700.9999999313829031.37234194177596e-076.86170970887978e-08
710.9999998319747633.36050473354638e-071.68025236677319e-07
720.9999996869414856.2611702926028e-073.1305851463014e-07
730.9999999824840843.50318320843567e-081.75159160421783e-08
740.9999999997110275.77945377908789e-102.88972688954394e-10
750.9999999993525971.29480517919056e-096.4740258959528e-10
760.9999999981188033.76239460874773e-091.88119730437386e-09
770.999999994465841.10683197889301e-085.53415989446507e-09
780.9999999877360552.45278889018674e-081.22639444509337e-08
790.9999999737972555.24054897947432e-082.62027448973716e-08
800.9999999329617541.34076492492214e-076.7038246246107e-08
810.9999998235928983.52814204479853e-071.76407102239926e-07
820.9999995764788678.4704226698811e-074.23521133494055e-07
830.9999988899016082.22019678473166e-061.11009839236583e-06
840.9999971061244355.78775112923357e-062.89387556461679e-06
850.9999943521828561.12956342888460e-055.64781714442301e-06
860.9999888842929222.22314141569687e-051.11157070784843e-05
870.9999934486800091.31026399821181e-056.55131999105904e-06
880.9999912813396981.74373206043069e-058.71866030215347e-06
890.9999841834434823.16331130351706e-051.58165565175853e-05
900.999975267813814.94643723777128e-052.47321861888564e-05
910.9999804900809073.90198381866265e-051.95099190933132e-05
920.9999478403710390.0001043192579228855.21596289614426e-05
930.9998862207439530.0002275585120933890.000113779256046694
940.9997006895928570.0005986208142857220.000299310407142861
950.9996081711953810.0007836576092379390.000391828804618969
960.9989971936650680.002005612669863150.00100280633493157
970.9986870372877530.002625925424493770.00131296271224689
980.996785619692620.006428760614758020.00321438030737901
990.9932734279604910.01345314407901750.00672657203950876
1000.9859937890807850.02801242183842970.0140062109192149
1010.9898203718881460.02035925622370790.0101796281118539
1020.9769582059198290.0460835881603430.0230417940801715
1030.9814580633334660.03708387333306840.0185419366665342
1040.9566640085174390.08667198296512260.0433359914825613
1050.9918844072863820.01623118542723570.00811559271361785


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level700.813953488372093NOK
5% type I error level780.906976744186046NOK
10% type I error level820.953488372093023NOK