Multiple Linear Regression - Estimated Regression Equation
Voeding-Mannen[t] = -680.485941116593 + 2.72524569486599`Landbouw-Mannen`[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-680.485941116593366.662006-1.85590.0685510.034276
`Landbouw-Mannen`2.725245694865990.14015419.444600


Multiple Linear Regression - Regression Statistics
Multiple R0.931128936563007
R-squared0.867001096504955
Adjusted R-squared0.864708011961937
F-TEST (value)378.093820895005
F-TEST (DF numerator)1
F-TEST (DF denominator)58
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation188.217027668222
Sum Squared Residuals2054687.67124708


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
165396418.77909400931120.220905990687
266996628.6230125139870.3769874860152
369626827.5659482392134.434051760797
469816841.19217671353139.807823286467
570246773.06103434188250.938965658117
669406565.94236153207374.057638467932
767746552.31613305774221.683866942262
866716595.920064175675.0799358244062
969656909.3233190851855.6766809148177
1069697072.83806077714-103.838060777141
1168226740.3580860034981.641913996509
1268786803.0387369854174.9612630145912
1366916860.2688965776-169.268896577594
1468377331.73640178941-494.73640178941
1570187432.57049249945-414.570492499452
1671677476.17442361731-309.174423617308
1770767200.92460843584-124.924608435843
1871717015.60790118496155.392098815044
1970936871.16987935706221.830120642942
2069716639.52399529345331.476004706550
2171426781.23677142648360.763228573519
2270476740.35808600349306.641913996509
2369996762.16005156242236.839948437581
2466506492.36072777069157.639272229314
2564756421.5043397041753.4956602958294
2664376418.779094009318.2209059906953
2766396530.51416749881108.485832501190
2864226478.73449929636-56.7344992963563
2962726228.0118953686943.9881046313144
3062326012.71748547427219.282514525727
3160035871.00470934124131.995290658759
3256735639.3588252776333.6411747223675
3360506184.40796425083-134.407964250830
3459776143.52927882784-166.52927882784
3557965811.04930405419-15.0493040541896
3657525843.75225239258-91.7522523925815
3756095808.32405835932-199.324058359324
3858396135.35354174324-296.353541743242
3960696219.83615828409-150.836158284088
4060066173.50698147137-167.506981471366
4158095939.13585171289-130.135851712891
4257975830.12602391825-33.1260239182515
4355025481.294574975420.7054250245948
4455685511.2722776189356.727722381069
4558645966.38830866155-102.388308661551
4657645786.5220928004-22.5220928003957
4756155661.16079083656-46.1607908365604
4856155761.9948815466-146.994881546602
4956815827.40077822339-146.400778223386
5059156277.06631787627-362.066317876273
5163346576.84334431153-242.843344311532
5264946661.32596085238-167.325960852377
5366206620.44727542939-0.447275429387657
5465786435.1305681785142.869431821499
5564956350.64795163765144.352048362345
5665386478.7344992963659.2655007036436
5767376764.88529725728-27.8852972572850
5866516696.75415488564-45.7541548856353
5965306495.0859734655534.9140265344477
6065636631.34825820885-68.3482582088516


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
50.06289995904400950.1257999180880190.93710004095599
60.2303051086290440.4606102172580890.769694891370956
70.1355061432197110.2710122864394220.864493856780289
80.1023061173701970.2046122347403940.897693882629803
90.06832936937467470.1366587387493490.931670630625325
100.07051519348008040.1410303869601610.92948480651992
110.04072510263914450.0814502052782890.959274897360855
120.02182953425280450.0436590685056090.978170465747195
130.0515084246078040.1030168492156080.948491575392196
140.1353449116887400.2706898233774810.86465508831126
150.1445510330440480.2891020660880950.855448966955952
160.1851823657323480.3703647314646960.814817634267652
170.1758391777886490.3516783555772970.824160822211351
180.2446070343990610.4892140687981220.755392965600939
190.2821244772240120.5642489544480230.717875522775989
200.3388228075706880.6776456151413750.661177192429312
210.5464762516544590.9070474966910810.453523748345541
220.6523085332811140.6953829334377710.347691466718885
230.6966134224446160.6067731551107680.303386577555384
240.7341980515290460.5316038969419090.265801948470954
250.8080047664620040.3839904670759920.191995233537996
260.8528620306455930.2942759387088130.147137969354407
270.8522940750749660.2954118498500690.147705924925034
280.8787441597219620.2425116805560750.121255840278038
290.9011609917911560.1976780164176880.0988390082088439
300.944544398863440.1109112022731210.0554556011365605
310.965982793025370.06803441394926110.0340172069746305
320.978046857219960.04390628556008030.0219531427800402
330.9808196454552910.03836070908941760.0191803545447088
340.9842745677257450.03145086454850970.0157254322742548
350.980505593061380.03898881387723970.0194944069386199
360.9761228626576540.04775427468469180.0238771373423459
370.9799047706639120.04019045867217690.0200952293360884
380.9915959088387780.01680818232244360.00840409116122178
390.9889570694026860.02208586119462730.0110429305973136
400.9867199375219430.02656012495611360.0132800624780568
410.9813016155843330.03739676883133400.0186983844156670
420.968737767516150.06252446496770120.0312622324838506
430.9524328261466450.095134347706710.047567173853355
440.9416076400565030.1167847198869930.0583923599434966
450.9117695492515770.1764609014968450.0882304507484225
460.8735067091753680.2529865816492650.126493290824632
470.8267237554374370.3465524891251260.173276244562563
480.7614081042214010.4771837915571990.238591895778599
490.686129218484110.627741563031780.31387078151589
500.9766584033479150.04668319330416910.0233415966520846
510.9983582147979640.003283570404072670.00164178520203633
520.9997193705707470.0005612588585056970.000280629429252849
530.9985130305754210.002973938849157220.00148696942457861
540.9968283055638620.006343388872275040.00317169443613752
550.989671110351730.02065777929654020.0103288896482701


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level40.0784313725490196NOK
5% type I error level170.333333333333333NOK
10% type I error level210.411764705882353NOK