Multiple Linear Regression - Estimated Regression Equation
OPENVAC[t] = + 31205.7 + 2878.75454545454M1[t] + 4617.02727272725M2[t] + 4437.20909090909M3[t] + 5506.93636363636M4[t] + 4582.02727272727M5[t] + 3309.75454545454M6[t] + 2771.75454545454M7[t] + 722.75454545454M8[t] -1622.33636363637M9[t] -3204.00000000001M10[t] -1396.80000000001M11[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)31205.72460.79733112.681100
M12878.754545454543400.0801280.84670.3989060.199453
M24617.027272727253400.0801281.35790.1771030.088551
M34437.209090909093400.0801281.3050.1944430.097222
M45506.936363636363400.0801281.61960.1080.054
M54582.027272727273400.0801281.34760.1803830.090192
M63309.754545454543400.0801280.97340.3323460.166173
M72771.754545454543400.0801280.81520.4166130.208306
M8722.754545454543400.0801280.21260.8320320.416016
M9-1622.336363636373400.080128-0.47710.6341480.317074
M10-3204.000000000013480.09296-0.92070.359120.17956
M11-1396.800000000013480.09296-0.40140.6888810.34444


Multiple Linear Regression - Regression Statistics
Multiple R0.347257952103242
R-squared0.120588085298937
Adjusted R-squared0.0379083326347348
F-TEST (value)1.45849596077890
F-TEST (DF numerator)11
F-TEST (DF denominator)117
p-value0.156576377353524
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation7781.72442733709
Sum Squared Residuals7084962502.37273


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
14388034084.45454545459795.5454545455
24311035822.72727272737287.27272727272
34449635642.90909090918853.09090909094
44416436712.63636363647451.36363636363
54039935787.72727272734611.27272727273
63676334515.45454545462247.54545454545
73790333977.45454545453925.54545454546
83553231928.45454545463603.54545454545
93553329583.36363636365949.63636363636
103211028001.74108.3
113337429808.93565.1
123546231205.74256.3
133350834084.4545454545-576.454545454547
143608035822.7272727273257.272727272731
153456035642.9090909091-1082.90909090909
163873736712.63636363642024.36363636364
173814435787.72727272732356.27272727273
183759434515.45454545453078.54545454546
193642433977.45454545452446.54545454545
203684331928.45454545454914.54545454545
213724629583.36363636367662.63636363636
223866128001.710659.3
234045429808.910645.1
244492831205.713722.3
254844134084.454545454514356.5454545455
264814035822.727272727312317.2727272727
274599835642.909090909110355.0909090909
284736936712.636363636410656.3636363636
294955435787.727272727313766.2727272727
304751034515.454545454512994.5454545455
314487333977.454545454510895.5454545455
324534431928.454545454513415.5454545455
334241329583.363636363612829.6363636364
343691228001.78910.3
354345229808.913643.1
364214231205.710936.3
374438234084.454545454510297.5454545455
384363635822.72727272737813.27272727273
394416735642.90909090918524.0909090909
404442336712.63636363647710.36363636364
414286835787.72727272737080.27272727273
424390834515.45454545459392.54545454545
434201333977.45454545458035.54545454545
443884631928.45454545456917.54545454545
453508729583.36363636365503.63636363636
463302628001.75024.3
473464629808.94837.1
483713531205.75929.3
493798534084.45454545463900.54545454545
504312135822.72727272737298.27272727273
514372235642.90909090918079.0909090909
524363036712.63636363646917.36363636364
534223435787.72727272736446.27272727273
543935134515.45454545454835.54545454545
553932733977.45454545455349.54545454545
563570431928.45454545453775.54545454546
573046629583.3636363636882.636363636364
582815528001.7153.300000000001
592925729808.9-551.899999999999
602999831205.7-1207.70000000001
613252934084.4545454545-1555.45454545455
623478735822.7272727273-1035.72727272727
633385535642.9090909091-1787.90909090909
643455636712.6363636364-2156.63636363636
653134835787.7272727273-4439.72727272727
663080534515.4545454545-3710.45454545454
672835333977.4545454545-5624.45454545455
682451431928.4545454545-7414.45454545455
692110629583.3636363636-8477.36363636363
702134628001.7-6655.7
712333529808.9-6473.9
722437931205.7-6826.7
732629034084.4545454546-7794.45454545455
743008435822.7272727273-5738.72727272727
752942935642.9090909091-6213.9090909091
763063236712.6363636364-6080.63636363636
772734935787.7272727273-8438.72727272727
782726434515.4545454545-7251.45454545454
792747433977.4545454545-6503.45454545455
802448231928.4545454545-7446.45454545455
812145329583.3636363636-8130.36363636363
821878828001.7-9213.7
831928229808.9-10526.9
841971331205.7-11492.7
852191734084.4545454545-12167.4545454545
862381235822.7272727273-12010.7272727273
872378535642.9090909091-11857.9090909091
882469636712.6363636364-12016.6363636364
892456235787.7272727273-11225.7272727273
902358034515.4545454545-10935.4545454545
912493933977.4545454545-9038.45454545455
922389931928.4545454545-8029.45454545455
932145429583.3636363636-8129.36363636363
941976128001.7-8240.7
951981529808.9-9993.9
962078031205.7-10425.7
972346234084.4545454545-10622.4545454545
982500535822.7272727273-10817.7272727273
992472535642.9090909091-10917.9090909091
1002619836712.6363636364-10514.6363636364
1012754335787.7272727273-8244.72727272727
1022647134515.4545454545-8044.45454545454
1032655833977.4545454545-7419.45454545454
1042531731928.4545454545-6611.45454545455
1052289629583.3636363636-6687.36363636364
1062224828001.7-5753.7
1072340629808.9-6402.9
1082507331205.7-6132.70000000001
1092769134084.4545454546-6393.45454545455
1103059935822.7272727273-5223.72727272727
1113194835642.9090909091-3694.90909090910
1123294636712.6363636364-3766.63636363636
1133401235787.7272727273-1775.72727272727
1143293634515.4545454545-1579.45454545455
1153297433977.4545454545-1003.45454545455
1163095131928.4545454545-977.454545454545
1172981229583.3636363636228.636363636365
1182901028001.71008.30000000000
1193106829808.91259.1
1203244731205.71241.30000000000
1213484434084.4545454545759.545454545453
1223567635822.7272727273-146.727272727269
1233538735642.9090909091-255.909090909094
1243648836712.6363636364-224.636363636361
1253565235787.7272727273-135.727272727271
1263348834515.4545454545-1027.45454545455
1273291433977.4545454545-1063.45454545455
1282978131928.4545454545-2147.45454545455
1292795129583.3636363636-1632.36363636364


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
150.4194004698014910.8388009396029820.580599530198509
160.2966084581574250.5932169163148510.703391541842575
170.1801070806665690.3602141613331380.819892919333431
180.1000580279230940.2001160558461890.899941972076906
190.05287904654932010.1057580930986400.94712095345068
200.02666976370606650.05333952741213290.973330236293934
210.01336798200715210.02673596401430430.986632017992848
220.01107779389693080.02215558779386160.98892220610307
230.01002476017638440.02004952035276880.989975239823616
240.01419307586817920.02838615173635830.98580692413182
250.02589279160840470.05178558321680950.974107208391595
260.03356150164272350.06712300328544710.966438498357276
270.03198466732590470.06396933465180940.968015332674095
280.02957556786027660.05915113572055320.970424432139723
290.04993977053028620.09987954106057250.950060229469714
300.07680307371139990.1536061474228000.9231969262886
310.08437922298465740.1687584459693150.915620777015343
320.1132187098185990.2264374196371990.8867812901814
330.1232555199397470.2465110398794940.876744480060253
340.1058502000473410.2117004000946820.894149799952659
350.1303490707830930.2606981415661850.869650929216907
360.1274576954109990.2549153908219990.872542304589
370.1296236468205440.2592472936410880.870376353179456
380.1175659473134570.2351318946269140.882434052686543
390.1126369407998080.2252738815996150.887363059200192
400.1041877408683030.2083754817366070.895812259131697
410.09485104652759770.1897020930551950.905148953472402
420.1022663814834210.2045327629668410.89773361851658
430.1014360022403000.2028720044805990.8985639977597
440.09688079151298720.1937615830259740.903119208487013
450.09589808757954210.1917961751590840.904101912420458
460.09319397889334050.1863879577866810.90680602110666
470.1000242955512570.2000485911025130.899975704448743
480.1129882770106280.2259765540212560.887011722989372
490.1257579459395270.2515158918790550.874242054060473
500.1488315781459360.2976631562918720.851168421854064
510.1920251398238580.3840502796477160.807974860176142
520.233572037510770.467144075021540.76642796248923
530.2809211358392770.5618422716785530.719078864160723
540.3145764036271390.6291528072542790.68542359637286
550.3556767918398310.7113535836796620.644323208160169
560.3977428045785130.7954856091570250.602257195421487
570.4528152082146640.9056304164293270.547184791785336
580.499210524708710.998421049417420.50078947529129
590.5765258833137030.8469482333725940.423474116686297
600.6660937422810510.6678125154378970.333906257718949
610.7324261209144280.5351477581711440.267573879085572
620.7741350572819690.4517298854360630.225864942718031
630.8101734634942150.3796530730115690.189826536505785
640.8410631604479520.3178736791040960.158936839552048
650.8760016361346350.2479967277307310.123998363865365
660.8939900793965110.2120198412069790.106009920603489
670.9160751838914150.1678496322171710.0839248161085854
680.9453575460710850.1092849078578300.0546424539289149
690.9685828381011370.06283432379772580.0314171618988629
700.974196399495450.05160720100909760.0258036005045488
710.9787540967480820.04249180650383540.0212459032519177
720.9828086388571540.03438272228569220.0171913611428461
730.9861291983887980.02774160322240360.0138708016112018
740.9863075380063470.02738492398730690.0136924619936535
750.9863181796840060.02736364063198850.0136818203159942
760.985894843146020.02821031370795840.0141051568539792
770.9876020034257610.02479599314847710.0123979965742386
780.9873329697234040.02533406055319140.0126670302765957
790.9858897874582840.02822042508343130.0141102125417157
800.9853663645023070.02926727099538630.0146336354976931
810.9857285971869690.0285428056260620.014271402813031
820.9868506996829720.0262986006340550.0131493003170275
830.9892193897545670.02156122049086550.0107806102454327
840.99210475144340.01579049711319860.0078952485565993
850.9944199947681230.01116001046375340.00558000523187671
860.9958680117104950.008263976579010090.00413198828950504
870.9969150791922410.006169841615517010.00308492080775850
880.9977506110559210.004498777888157180.00224938894407859
890.9983828925413840.003234214917230940.00161710745861547
900.9987448142144040.002510371571192640.00125518578559632
910.9986917091969130.002616581606174110.00130829080308706
920.9983939464645320.003212107070935510.00160605353546776
930.998138668539230.003722662921539680.00186133146076984
940.9978335716761960.004332856647608630.00216642832380432
950.998020764992190.003958470015621940.00197923500781097
960.9983685664456490.003262867108701790.00163143355435090
970.9986380263110780.002723947377844400.00136197368892220
980.9989552667891010.002089466421797840.00104473321089892
990.9993625497386070.001274900522785520.000637450261392762
1000.9996022762049250.0007954475901496180.000397723795074809
1010.9996643364173530.0006713271652937820.000335663582646891
1020.999687686243470.0006246275130592480.000312313756529624
1030.9996895474229940.0006209051540112850.000310452577005643
1040.9995710196776140.0008579606447719980.000428980322385999
1050.9995424633939050.0009150732121895930.000457536606094797
1060.9995107352389780.0009785295220443490.000489264761022174
1070.9996568683288480.000686263342304660.00034313167115233
1080.9998016172120880.0003967655758243290.000198382787912165
1090.9999355516944280.0001288966111438296.44483055719144e-05
1100.9999594838633868.10322732289427e-054.05161366144714e-05
1110.9999386567532070.0001226864935867396.13432467933694e-05
1120.9999608426354127.83147291762603e-053.91573645881302e-05
1130.9998299748970450.0003400502059097890.000170025102954895
1140.9982717834662990.003456433067402160.00172821653370108


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level290.29NOK
5% type I error level480.48NOK
10% type I error level560.56NOK