Multiple Linear Regression - Estimated Regression Equation
Y[t] = + 2187.30135021097 + 471.720675105485X[t] -862.255625879044M1[t] -157.475302390999M2[t] + 100.405021097046M3[t] + 915.085344585091M4[t] + 2391.46566807314M5[t] + 2975.54599156118M6[t] + 2988.82631504923M7[t] + 3740.30663853727M8[t] + 3106.38696202532M9[t] + 859.23935302391M10[t] -388.480323488046M11[t] + 1.61967651195499t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)2187.30135021097138.56633715.785200
X471.720675105485134.8770223.49740.0006880.000344
M1-862.255625879044172.390428-5.00182e-061e-06
M2-157.475302390999172.323461-0.91380.3628770.181439
M3100.405021097046172.2624690.58290.5612250.280613
M4915.085344585091172.2074585.31391e-060
M52391.46566807314172.15843313.891100
M62975.54599156118172.11539917.288100
M72988.82631504923172.07836217.36900
M83740.30663853727172.04732421.7400
M93106.38696202532172.0222918.05800
M10859.23935302391171.4655875.01112e-061e-06
M11-388.480323488046171.456544-2.26580.0254980.012749
t1.619676511954991.0166741.59310.1141120.057056


Multiple Linear Regression - Regression Statistics
Multiple R0.974833105636288
R-squared0.95029958384449
Adjusted R-squared0.944204249787683
F-TEST (value)155.906070936853
F-TEST (DF numerator)13
F-TEST (DF denominator)106
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation383.381748113083
Sum Squared Residuals15580045.8673418


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
115791326.66540084389252.334599156115
221462033.06540084388112.934599156119
324622292.56540084388169.434599156118
436953108.86540084388586.134599156118
548314586.86540084388244.134599156118
651345172.56540084388-38.5654008438817
762505187.465400843881062.53459915612
857605940.56540084388-180.565400843881
962495308.26540084388940.734599156118
1029173062.73746835443-145.737468354431
1117411816.63746835443-75.6374683544286
1223592206.73746835443152.26253164557
1315111817.82219409283-306.822194092826
1420592052.501518987346.49848101265803
1526352312.00151898734322.998481012658
1628673128.30151898734-261.301518987342
1744034606.30151898734-203.301518987342
1857205192.00151898734527.998481012658
1945025206.90151898734-704.901518987342
2057495960.00151898734-211.001518987342
2156275327.70151898734299.298481012658
2228463082.17358649789-236.17358649789
2317621836.07358649789-74.0735864978905
2424292226.17358649789202.82641350211
2511691365.53763713080-196.537637130801
2621542543.65831223629-389.658312236287
2722492331.4376371308-82.4376371308018
2826873147.7376371308-460.737637130801
2943594625.7376371308-266.737637130802
3053825211.4376371308170.562362869198
3144595226.3376371308-767.337637130802
3263985979.4376371308418.562362869198
3345965347.1376371308-751.137637130802
3430243101.60970464135-77.60970464135
3518871855.5097046413531.4902953586496
3620702245.60970464135-175.609704641351
3713511384.97375527426-33.9737552742612
3822182091.37375527426126.626244725738
3924612822.59443037975-361.594430379747
4030283167.17375527426-139.173755274262
4147844645.17375527426138.826244725738
4249755230.87375527426-255.873755274262
4346075245.77375527426-638.773755274262
4462495998.87375527426250.126244725738
4548095366.57375527426-557.573755274262
4631573121.0458227848135.9541772151900
4719101874.9458227848135.0541772151897
4822282265.04582278481-37.0458227848103
4915941404.40987341772189.590126582279
5024672110.80987341772356.190126582279
5122222370.30987341772-148.309873417722
5236073658.33054852321-51.3305485232071
5346854664.6098734177220.3901265822786
5449625250.30987341772-288.309873417722
5557705265.20987341772504.790126582279
5654806018.30987341772-538.309873417722
5750005386.00987341772-386.009873417722
5832283140.4819409282787.51805907173
5919931894.3819409282798.6180590717298
6022882284.481940928273.51805907172975
6115801423.84599156118156.154008438819
6221112130.24599156118-19.2459915611815
6321922389.74599156118-197.745991561182
6436013206.04599156118394.954008438818
6546655155.76666666667-490.766666666667
6648765269.74599156118-393.745991561182
6758135284.64599156118528.354008438819
6855896037.74599156118-448.745991561182
6953315405.44599156118-74.4459915611815
7030753159.91805907173-84.9180590717297
7120021913.8180590717388.1819409282699
7223062303.918059071732.0819409282701
7315071443.2821097046463.7178902953591
7419922149.68210970464-157.682109704641
7524872409.1821097046477.8178902953588
7634903225.48210970464264.517890295359
7746474703.48210970464-56.4821097046412
7855945760.90278481013-166.902784810127
7956115304.08210970464306.917890295359
8057886057.18210970464-269.182109704641
8162045424.88210970464779.117890295359
8230133179.35417721519-166.354177215190
8319311933.25417721519-2.25417721519004
8425492323.35417721519225.645822784810
8515041462.718227848141.2817721518992
8620902169.1182278481-79.1182278481013
8727022428.6182278481273.381772151899
8829393244.9182278481-305.918227848101
8945004722.9182278481-222.918227848101
9062085308.6182278481899.3817721519
9164155795.23890295359619.761097046414
9256576076.6182278481-419.618227848101
9359645444.3182278481519.681772151899
9431633198.79029535865-35.7902953586497
9519971952.6902953586544.30970464135
9624222342.7902953586579.2097046413504
9713761482.15434599156-106.154345991561
9822022188.5543459915613.4456540084387
9926832448.05434599156234.945654008439
10033033264.3543459915638.6456540084388
10152024742.35434599156459.645654008439
10252315328.05434599156-97.0543459915613
10348805342.95434599156-462.954345991562
10479986567.775021097051430.22497890295
10549775463.75434599156-486.754345991561
10635313218.22641350211312.77358649789
10720251972.1264135021152.8735864978902
10822052362.22641350211-157.22641350211
10914421501.59046413502-59.5904641350206
11022382207.9904641350230.0095358649788
11121792467.49046413502-288.490464135021
11232183283.79046413502-65.790464135021
11351394761.79046413502377.209535864979
11449905347.49046413502-357.490464135021
11549145362.39046413502-448.390464135022
11660846115.49046413502-31.4904641350208
11756725954.9111392405-282.911139240506
11835483237.66253164557310.337468354430
11917931991.56253164557-198.562531645570
12020862381.66253164557-295.66253164557


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
170.4430245764324980.8860491528649960.556975423567502
180.6489998512265220.7020002975469550.351000148773478
190.9700142063000810.05997158739983780.0299857936999189
200.952585168824440.094829662351120.04741483117556
210.9331170107598670.1337659784802670.0668829892401333
220.9025211285199880.1949577429600240.097478871480012
230.868598004496970.2628039910060590.131401995503029
240.8372525123349330.3254949753301350.162747487665067
250.7778062704714620.4443874590570760.222193729528538
260.7299191596999010.5401616806001970.270080840300099
270.6555705961458940.6888588077082130.344429403854107
280.6031227417486470.7937545165027060.396877258251353
290.5293024227972480.9413951544055030.470697577202752
300.489620762763460.979241525526920.51037923723654
310.5556420562980790.8887158874038410.444357943701921
320.7529633662247550.494073267550490.247036633775245
330.8810162460374580.2379675079250840.118983753962542
340.8725818825527990.2548362348944020.127418117447201
350.8587880999007330.2824238001985350.141211900099267
360.8173269146749310.3653461706501380.182673085325069
370.7937867109697230.4124265780605530.206213289030277
380.7830900019314050.433819996137190.216909998068595
390.7584545338252660.4830909323494690.241545466174734
400.715390974252750.56921805149450.28460902574725
410.71055485642480.5788902871504010.289445143575201
420.6619423614876710.6761152770246580.338057638512329
430.6756363560725740.6487272878548530.324363643927427
440.683540299775410.6329194004491790.316459700224589
450.6944498105335770.6111003789328470.305550189466423
460.6775314251977890.6449371496044210.322468574802211
470.6401266222282590.7197467555434830.359873377771741
480.5851094656626820.8297810686746370.414890534337318
490.5684747966339890.8630504067320230.431525203366011
500.584271825639810.8314563487203790.415728174360190
510.5277215485271810.9445569029456380.472278451472819
520.5439740272749590.9120519454500820.456025972725041
530.4938233207303660.9876466414607310.506176679269634
540.448124780276210.896249560552420.55187521972379
550.5657744688782520.8684510622434950.434225531121748
560.5817727728422670.8364544543154660.418227227157733
570.5598882385800530.8802235228398930.440111761419947
580.5208872369859970.9582255260280050.479112763014002
590.4735649372488440.9471298744976880.526435062751156
600.4166516828482090.8333033656964180.583348317151791
610.3741026207256680.7482052414513350.625897379274332
620.3193448996119050.638689799223810.680655100388095
630.280055202571290.560110405142580.71994479742871
640.2870116665466470.5740233330932940.712988333453353
650.3749945898097490.7499891796194970.625005410190251
660.3608570443230790.7217140886461580.639142955676921
670.4375488336631880.8750976673263760.562451166336812
680.4536674478530340.9073348957060680.546332552146966
690.4046509484561990.8093018969123980.595349051543801
700.3653599431441780.7307198862883570.634640056855822
710.3143176307122320.6286352614244640.685682369287768
720.2643446579714220.5286893159428450.735655342028578
730.2179283225306930.4358566450613860.782071677469307
740.1853378962318350.3706757924636690.814662103768165
750.1512382200343190.3024764400686380.84876177996568
760.1294742177436230.2589484354872470.870525782256377
770.1124701904173670.2249403808347330.887529809582633
780.2116069162967050.4232138325934110.788393083703295
790.2087915277660890.4175830555321780.791208472233911
800.2152459983626810.4304919967253620.784754001637319
810.4226029508327480.8452059016654970.577397049167252
820.4368592999231770.8737185998463550.563140700076823
830.3811552978828310.7623105957656610.61884470211717
840.3263957370310030.6527914740620060.673604262968997
850.2667710323587450.533542064717490.733228967641255
860.2272814411721240.4545628823442490.772718558827876
870.1853598570642690.3707197141285370.814640142935732
880.1869523023055340.3739046046110680.813047697694466
890.3016789367138960.6033578734277910.698321063286104
900.5336511544555840.9326976910888310.466348845544416
910.5140028406549450.971994318690110.485997159345055
920.8174062956034070.3651874087931860.182593704396593
930.9847695243866750.03046095122665000.0152304756133250
940.996625380918560.006749238162881660.00337461908144083
950.994292185505150.01141562898969990.00570781449484997
960.9876673530636010.02466529387279710.0123326469363985
970.9827501452243220.03449970955135660.0172498547756783
980.9752652003149840.04946959937003290.0247347996850164
990.9661597724439980.06768045511200450.0338402275560022
1000.9354732441450920.1290535117098160.064526755854908
1010.8922768822292580.2154462355414840.107723117770742
1020.7950499414595920.4099001170808170.204950058540408
1030.7386031237067940.5227937525864110.261396876293206


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level10.0114942528735632NOK
5% type I error level60.0689655172413793NOK
10% type I error level90.103448275862069NOK