Multiple Linear Regression - Estimated Regression Equation
Voeding-Mannen[t] = + 6.54533119810063 + 2.51210820360028`Landbouw-Mannen`[t] -4.28395794774435t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)6.54533119810063424.8576230.01540.9877620.493881
`Landbouw-Mannen`2.512108203600280.15287116.432900
t-4.283957947744351.53039-2.79930.0069780.003489


Multiple Linear Regression - Regression Statistics
Multiple R0.939720653731274
R-squared0.883074907049133
Adjusted R-squared0.878972272208752
F-TEST (value)215.245797251373
F-TEST (DF numerator)2
F-TEST (DF denominator)57
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation178.018571346665
Sum Squared Residuals1806364.86942554


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
165396546.30324362909-7.30324362908535
266996735.45161735855-36.4516173585529
369626914.5515582736347.4484417263707
469816922.8281413438958.1718586561135
570246855.74147830613168.258521693865
669406660.53729688477279.46270311523
767746643.69279791902130.307202080976
866716679.60257122888-8.60257122888425
969656964.211056695170.78894330482837
1069697110.65359096344-141.653590963444
1168226799.8924321764722.1075678235342
1268786853.3869629115324.6130370884722
1366916901.85727723939-210.857277239389
1468377332.16803851449-495.168038514493
1570187420.83208409996-402.832084099958
1671677456.74185740982-289.741857409818
1770767198.73497089845-122.734970898446
1871717023.62765510588147.372344894117
1970936886.20196236732206.798037632676
2069716668.38880711356302.611192886444
2171426794.73447575303347.265524246974
2270476752.76889475128294.231105248722
2369996768.58180243234230.418197567664
2466506515.59913232816134.400867671836
2564756446.0003610868128.9996389131874
2664376439.20429493547-2.20429493546798
2766396537.91677333534101.083226664665
2864226485.90275951919-63.9027595191853
2962726250.5048468402221.4951531597844
3062326047.76434080805184.235659191950
3160035912.8507562730990.1492437269093
3256735695.03760101932-22.0376010193231
3360506193.17528379163-143.175283791634
3459776151.20970278989-174.209702789885
3557965840.44854400291-44.4485440029074
3657525866.30988449837-114.309884498366
3756095829.36851990382-220.368519903818
3858396126.53754638811-287.537546388107
3960696200.12894275197-131.128942751971
4060066153.13914534302-147.139145343022
4158095932.81388188565-123.813881885654
4257975828.0455957939-31.0455957938987
4355025502.21178778532-0.211787785319172
4455685525.5610200771842.4389799228221
4558645940.79913213068-76.7991321306796
4657645770.71603274532-6.716032745317
4756155650.87509743196-35.87509743196
4856155739.53914301743-124.539143017426
4956815795.54578195609-114.545781956088
5059156205.75967760239-290.759677602389
5163346477.80762205068-143.807622050675
5264946551.39901841454-57.3990184145393
5366206509.43343741279110.566562587209
5465786334.32612162023243.673878379772
5564956252.16680936088242.833190639125
5665386365.95193698234172.048063017657
5767376625.43934041263111.560659587372
5866516558.3526773748892.6473226251232
5965306368.17271236071161.827287639288
6065636489.4941645929873.5058354070185


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
60.006333351287054530.01266670257410910.993666648712946
70.0498445993875810.0996891987751620.95015540061242
80.1440776057619140.2881552115238270.855922394238086
90.1185762128788580.2371524257577170.881423787121142
100.1228268470466830.2456536940933670.877173152953317
110.0715717172404580.1431434344809160.928428282759542
120.03863432738870980.07726865477741960.96136567261129
130.0596405667114670.1192811334229340.940359433288533
140.1636375697182060.3272751394364120.836362430281794
150.1949433213430640.3898866426861280.805056678656936
160.2989816577997710.5979633155995420.701018342200229
170.3803385188237020.7606770376474040.619661481176298
180.5120331531727690.9759336936544610.487966846827231
190.4906654086111710.9813308172223430.509334591388829
200.4486172881777680.8972345763555360.551382711822232
210.4864970056080320.9729940112160640.513502994391968
220.4736309102355580.9472618204711160.526369089764442
230.45499687264620.90999374529240.5450031273538
240.6411325686492980.7177348627014040.358867431350702
250.8026953285637280.3946093428725430.197304671436272
260.8577359463440820.2845281073118350.142264053655918
270.8527931040370240.2944137919259520.147206895962976
280.8690955785552430.2618088428895150.130904421444757
290.8847673034234170.2304653931531660.115232696576583
300.9510798688889390.09784026222212220.0489201311110611
310.9823597216817820.03528055663643670.0176402783182183
320.9919664979089870.01606700418202540.00803350209101268
330.992098143708690.01580371258262170.00790185629131086
340.991302890617340.01739421876532080.0086971093826604
350.9928932029774240.01421359404515230.00710679702257615
360.9920593974703240.01588120505935210.00794060252967606
370.9903475514447440.01930489711051160.00965244855525581
380.9890309400849290.02193811983014210.0109690599150711
390.9824497374478550.03510052510429030.0175502625521452
400.9717222182716420.05655556345671550.0282777817283577
410.9552834013754380.08943319724912340.0447165986245617
420.9435236104704540.1129527790590920.0564763895295459
430.9227861787387780.1544276425224430.0772138212612217
440.9162892481343920.1674215037312160.0837107518656078
450.8843776345415090.2312447309169830.115622365458491
460.8667359319780850.2665281360438300.133264068021915
470.823170542845190.3536589143096190.176829457154809
480.744302197445170.511395605109660.25569780255483
490.6549987391264250.690002521747150.345001260873575
500.9432030392230990.1135939215538010.0567969607769006
510.9854454897517020.02910902049659610.0145545102482981
520.9991532304375040.001693539124991980.000846769562495989
530.9997017027591730.0005965944816528930.000298297240826446
540.9977133452373530.004573309525294970.00228665476264749


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level30.0612244897959184NOK
5% type I error level140.285714285714286NOK
10% type I error level190.387755102040816NOK