Multiple Linear Regression - Estimated Regression Equation
Y(Export_farma_prod)[t] = + 611.496551724142 + 1678.78366805608`X(sprong)`[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)611.49655172414274.3199428.227900
`X(sprong)`1678.7836680560885.34445119.670700


Multiple Linear Regression - Regression Statistics
Multiple R0.875389579068774
R-squared0.766306915142206
Adjusted R-squared0.76432646527053
F-TEST (value)386.935779643651
F-TEST (DF numerator)1
F-TEST (DF denominator)118
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation400.225137425860
Sum Squared Residuals18901258.9540508


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1423.4611.49655172413-188.096551724130
2404.1611.496551724125-207.396551724125
3500611.496551724139-111.496551724139
4472.6611.496551724139-138.896551724139
5496.1611.496551724139-115.396551724139
6562611.496551724139-49.4965517241387
7434.8611.496551724139-176.696551724139
8538.2611.496551724139-73.2965517241387
9577.6611.496551724139-33.8965517241386
10518.1611.496551724139-93.3965517241386
11625.2611.49655172413913.7034482758613
12561.2611.496551724139-50.2965517241387
13523.3611.496551724139-88.1965517241387
14536.1611.496551724139-75.3965517241386
15607.3611.496551724139-4.19655172413875
16637.3611.49655172413925.8034482758613
17606.9611.496551724139-4.59655172413884
18652.9611.49655172413941.4034482758612
19617.2611.4965517241395.70344827586134
20670.4611.49655172413958.9034482758612
21729.9611.496551724139118.403448275861
22677.2611.49655172413965.7034482758613
23710611.49655172413998.5034482758613
24844.3611.496551724139232.803448275861
25748.2611.496551724139136.703448275861
26653.9611.49655172413942.4034482758612
27742.6611.496551724139131.103448275861
28854.2611.496551724139242.703448275861
29808.4611.496551724139196.903448275861
3018192290.28021978022-471.28021978022
311936.52290.28021978022-353.78021978022
321966.12290.28021978022-324.18021978022
332083.12290.28021978022-207.18021978022
341620.12290.28021978022-670.18021978022
351527.62290.28021978022-762.68021978022
3617952290.28021978022-495.28021978022
371685.12290.28021978022-605.18021978022
381851.82290.28021978022-438.48021978022
392164.42290.28021978022-125.880219780220
401981.82290.28021978022-308.48021978022
411726.52290.28021978022-563.78021978022
422144.62290.28021978022-145.68021978022
431758.22290.28021978022-532.08021978022
441672.92290.28021978022-617.38021978022
451837.32290.28021978022-452.98021978022
461596.12290.28021978022-694.18021978022
4714462290.28021978022-844.28021978022
481898.42290.28021978022-391.88021978022
491964.12290.28021978022-326.18021978022
501755.92290.28021978022-534.38021978022
512255.32290.28021978022-34.9802197802196
521881.22290.28021978022-409.08021978022
532117.92290.28021978022-172.380219780220
541656.52290.28021978022-633.78021978022
551544.12290.28021978022-746.18021978022
562098.92290.28021978022-191.380219780220
572133.32290.28021978022-156.980219780220
581963.52290.28021978022-326.78021978022
591801.22290.28021978022-489.08021978022
602365.42290.2802197802275.1197802197803
611936.52290.28021978022-353.78021978022
621667.62290.28021978022-622.68021978022
631983.52290.28021978022-306.78021978022
642058.62290.28021978022-231.680219780220
652448.32290.28021978022158.019780219780
661858.12290.28021978022-432.18021978022
671625.42290.28021978022-664.88021978022
682130.62290.28021978022-159.68021978022
692515.72290.28021978022225.41978021978
702230.22290.28021978022-60.08021978022
712086.92290.28021978022-203.380219780220
7222352290.28021978022-55.2802197802198
732100.22290.28021978022-190.08021978022
742288.62290.28021978022-1.68021978021987
7524902290.28021978022199.719780219780
762573.72290.28021978022283.41978021978
772543.82290.28021978022253.519780219780
782004.72290.28021978022-285.58021978022
7923902290.2802197802299.7197802197802
802338.42290.2802197802248.1197802197803
812724.52290.28021978022434.21978021978
822292.52290.280219780222.21978021978022
8323862290.2802197802295.7197802197802
842477.92290.28021978022187.619780219780
8523372290.2802197802246.7197802197802
862605.12290.28021978022314.81978021978
872560.82290.28021978022270.519780219780
882839.32290.28021978022549.01978021978
892407.22290.28021978022116.91978021978
902085.22290.28021978022-205.08021978022
912735.62290.28021978022445.31978021978
922798.72290.28021978022508.41978021978
933053.22290.28021978022762.91978021978
9424052290.28021978022114.719780219780
952471.92290.28021978022181.619780219780
962727.32290.28021978022437.019780219780
972790.72290.28021978022500.41978021978
982385.42290.2802197802295.1197802197803
993206.62290.28021978022916.31978021978
1002705.62290.28021978022415.31978021978
1013518.42290.280219780221228.11978021978
1021954.92290.28021978022-335.38021978022
1032584.32290.28021978022294.019780219780
1042535.82290.28021978022245.519780219780
1052685.92290.28021978022395.61978021978
10628662290.28021978022575.71978021978
1072236.62290.28021978022-53.6802197802199
1082934.92290.28021978022644.61978021978
1092668.62290.28021978022378.31978021978
1102371.22290.2802197802280.91978021978
1113165.92290.28021978022875.61978021978
1122887.22290.28021978022596.91978021978
1133112.22290.28021978022821.91978021978
1142671.22290.28021978022380.91978021978
1152432.62290.28021978022142.31978021978
1162812.32290.28021978022522.01978021978
1173095.72290.28021978022805.41978021978
1182862.92290.28021978022572.61978021978
1192607.32290.28021978022317.019780219780
1202862.52290.28021978022572.21978021978


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
50.002548261413559590.005096522827119170.99745173858644
60.001170037554557600.002340075109115190.998829962445442
70.0001919847073559030.0003839694147118060.999808015292644
84.43102757986334e-058.86205515972669e-050.999955689724201
91.81393787903007e-053.62787575806015e-050.99998186062121
102.86045794958925e-065.7209158991785e-060.99999713954205
112.41033635681395e-064.82067271362791e-060.999997589663643
125.15477922922994e-071.03095584584599e-060.999999484522077
138.25362591969503e-081.65072518393901e-070.999999917463741
141.33269862214333e-082.66539724428666e-080.999999986673014
155.08933655645804e-091.01786731129161e-080.999999994910663
162.99680916336652e-095.99361832673305e-090.99999999700319
178.66036988838159e-101.73207397767632e-090.999999999133963
184.97350627497977e-109.94701254995955e-100.99999999950265
191.40443467144352e-102.80886934288703e-100.999999999859557
208.51649437203201e-111.7032988744064e-100.999999999914835
211.36539899088159e-102.73079798176317e-100.99999999986346
226.22650892332271e-111.24530178466454e-100.999999999937735
234.14555257905999e-118.29110515811997e-110.999999999958544
242.81945665671629e-105.63891331343259e-100.999999999718054
251.94360954801925e-103.88721909603849e-100.999999999805639
265.52135355003007e-111.10427071000601e-100.999999999944786
273.14115776991543e-116.28231553983085e-110.999999999968588
287.40320360954235e-111.48064072190847e-100.999999999925968
296.6856088014826e-111.33712176029652e-100.999999999933144
302.03877853935221e-114.07755707870441e-110.999999999979612
317.1711477352395e-121.4342295470479e-110.999999999992829
322.34951305099513e-124.69902610199026e-120.99999999999765
331.30505372079942e-122.61010744159884e-120.999999999998695
346.55932475923159e-121.31186495184632e-110.99999999999344
354.41142577377296e-118.82285154754591e-110.999999999955886
361.72749089357268e-113.45498178714535e-110.999999999982725
371.11109498785635e-112.2221899757127e-110.99999999998889
384.37975277542928e-128.75950555085856e-120.99999999999562
391.71669627295394e-113.43339254590788e-110.999999999982833
408.79305063279658e-121.75861012655932e-110.999999999991207
415.811583410086e-121.1623166820172e-110.999999999994188
421.00183665636844e-112.00367331273687e-110.999999999989982
436.14506777519582e-121.22901355503916e-110.999999999993855
446.78591656727517e-121.35718331345503e-110.999999999993214
453.22913109145724e-126.45826218291447e-120.99999999999677
467.57870615735575e-121.51574123147115e-110.999999999992421
471.05757148566129e-102.11514297132258e-100.999999999894243
486.37349331129436e-111.27469866225887e-100.999999999936265
494.44673263750856e-118.89346527501712e-110.999999999955533
503.55805164529656e-117.11610329059312e-110.99999999996442
512.13370848512149e-104.26741697024299e-100.99999999978663
521.40681583093066e-102.81363166186132e-100.999999999859318
531.80296170204467e-103.60592340408933e-100.999999999819704
543.60250612081756e-107.20501224163511e-100.99999999963975
552.22015316533750e-094.44030633067500e-090.999999997779847
562.80608857413867e-095.61217714827734e-090.999999997193911
573.9030884825351e-097.8061769650702e-090.999999996096911
583.39140470543664e-096.78280941087329e-090.999999996608595
594.36296816466258e-098.72593632932515e-090.999999995637032
602.81015803495758e-085.62031606991517e-080.99999997189842
612.79264896429318e-085.58529792858637e-080.99999997207351
621.07217018907921e-072.14434037815843e-070.99999989278298
631.23073173294119e-072.46146346588238e-070.999999876926827
641.48775709142014e-072.97551418284028e-070.99999985122429
651.02769631019277e-062.05539262038553e-060.99999897230369
661.85853281889022e-063.71706563778044e-060.999998141467181
671.81257733269860e-053.62515466539721e-050.999981874226673
682.65303370922856e-055.30606741845711e-050.999973469662908
690.0001324586276438490.0002649172552876970.999867541372356
700.0001853626194733750.0003707252389467490.999814637380527
710.000262878904953510.000525757809907020.999737121095047
720.0003692246791050160.0007384493582100320.999630775320895
730.0005545441233036520.001109088246607300.999445455876696
740.000811252021847390.001622504043694780.999188747978153
750.001650053751287460.003300107502574930.998349946248713
760.003617985922082010.007235971844164020.996382014077918
770.006040315114405890.01208063022881180.993959684885594
780.01115743551329960.02231487102659910.9888425644867
790.01355497481906010.02710994963812020.98644502518094
800.01601682861541350.03203365723082690.983983171384587
810.03055845925901510.06111691851803010.969441540740985
820.03483023840063250.0696604768012650.965169761599368
830.03832702209980130.07665404419960270.961672977900199
840.04215503101646650.0843100620329330.957844968983533
850.04699969480696990.09399938961393970.95300030519303
860.05412752136002170.1082550427200430.945872478639978
870.0579306424061670.1158612848123340.942069357593833
880.085449052532270.170898105064540.91455094746773
890.08626066949123080.1725213389824620.91373933050877
900.1424508642283810.2849017284567620.857549135771619
910.1550190180770300.3100380361540600.84498098192297
920.1728662919125610.3457325838251230.827133708087439
930.2653121277169950.530624255433990.734687872283005
940.2624611351652790.5249222703305570.737538864834721
950.2517361178292640.5034722356585280.748263882170736
960.2392154646135130.4784309292270260.760784535386487
970.2313130422990060.4626260845980110.768686957700994
980.2327483226742520.4654966453485030.767251677325748
990.3656072729109260.7312145458218530.634392727089074
1000.3280170077812140.6560340155624280.671982992218786
1010.7244817725594280.5510364548811440.275518227440572
1020.9187833840884520.1624332318230950.0812166159115476
1030.8972724822472840.2054550355054320.102727517752716
1040.8788601847622080.2422796304755850.121139815237793
1050.8408636230167670.3182727539664670.159136376983233
1060.8030386089937080.3939227820125840.196961391006292
1070.8983810365693880.2032379268612240.101618963430612
1080.8698448371102120.2603103257795760.130155162889788
1090.8225338603651750.3549322792696490.177466139634825
1100.887350758472690.2252984830546190.112649241527309
1110.9108944395938090.1782111208123820.0891055604061909
1120.8561521993881670.2876956012236650.143847800611833
1130.8745473904349970.2509052191300050.125452609565003
1140.7840466967766520.4319066064466950.215953303223348
1150.849776979329240.3004460413415180.150223020670759


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level720.648648648648649NOK
5% type I error level760.684684684684685NOK
10% type I error level810.72972972972973NOK