Multiple Linear Regression - Estimated Regression Equation
Voeding-Mannen[t] = -405.961252705834 + 2.67275759582622`Landbouw-Mannen`[t] -101.428995792543M1[t] -236.177988374742M2[t] -128.965513318953M3[t] -123.616818973557M4[t] -2.59336570780475M5[t] + 162.044705787931M6[t] + 139.940583095422M7[t] + 106.359047587325M8[t] + 36.4821454927739M9[t] + 3.39130681389371M10[t] + 68.7931662887606M11[t] -4.30151865203991t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-405.961252705834396.851738-1.0230.3116790.15584
`Landbouw-Mannen`2.672757595826220.14194618.829400
M1-101.42899579254396.857076-1.04720.3004780.150239
M2-236.17798837474296.428293-2.44930.0181830.009092
M3-128.96551331895397.289058-1.32560.1915210.095761
M4-123.61681897355797.359274-1.26970.2105780.105289
M5-2.5933657078047596.208323-0.0270.9786120.489306
M6162.04470578793195.7923791.69160.0974830.048741
M7139.94058309542296.0223571.45740.1518060.075903
M8106.35904758732596.1447661.10620.2743750.137188
M936.482145492773996.0358920.37990.7057830.352891
M103.3913068138937195.9085360.03540.9719460.485973
M1168.793166288760695.5573460.71990.475220.23761
t-4.301518652039911.341897-3.20560.0024520.001226


Multiple Linear Regression - Regression Statistics
Multiple R0.965428192773583
R-squared0.932051595402067
Adjusted R-squared0.912848785406999
F-TEST (value)48.5372503108371
F-TEST (DF numerator)13
F-TEST (DF denominator)46
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation151.063517683038
Sum Squared Residuals1049728.57323958


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
165396450.841769976988.1582300230973
266996517.59359362127181.406406378726
369626815.61585452034146.384145479663
469816830.02681819282150.973181807175
570246879.92981291088144.070187089118
669406837.13678847178102.863211528215
767746797.3673591481-23.3673591481044
866716802.24842652119-131.248426521188
969657035.43712929461-70.4371292946119
1069697158.41022771327-189.410227713265
1168226893.43414184529-71.434141845293
1268786881.8128816085-3.81288160849564
1366916832.21027667626-141.210276676263
1468377155.54682951996-318.546829519960
1570187357.34981696928-339.349816969279
1671677401.16111419586-234.161114195855
1770767247.93453163112-171.934531631120
1871717226.52356795863-55.5235679586325
1970937058.4617740352934.5382259647064
2069716793.39432422993177.605675770072
2171426858.1992984663283.800701533700
2270476780.71557719799266.284422802013
2369996863.19797878742135.802021212576
2466506525.50029185983124.499708140173
2564756350.27807992376124.721920076238
2664376208.5548110937228.445188906302
2766396421.04882892632217.951171073679
2864226371.3136102989850.6863897010209
2962726242.1418460966829.8581539033204
3062326191.3305488701040.669451129896
3160036025.94151254259-22.9415125425911
3256735760.87406273723-87.8740627372258
3360506221.24716115588-171.247161155879
3459776143.76343988757-166.763439887566
3557965878.78735401959-82.7873540195935
3657525837.76576022871-85.7657602287076
3756095697.28939703838-88.2893970383836
3858395878.96979730329-39.9697973032916
3960696064.736239177654.26376082234696
4060066020.34653574196-14.3465357419633
4158095907.21131711462-98.2113171146212
4257975960.63756612527-163.637566125268
4355025592.11895251496-90.1189525149625
4455685583.63623190891-15.6362319089144
4558645955.8083296653-91.8083296653023
4657645742.0139710098521.9860289901484
4756155680.16746242467-65.1674624246724
4856155705.96480852944-90.964808529442
4956815664.3804763846916.6195236153118
5059155966.33496846178-51.3349684617762
5163346363.24926040641-29.2492604064092
5264946447.1519215703846.848078429622
5366206523.782492246796.2175077533024
5465786502.3715285742175.6284714257895
5564956393.11040175905101.889598240952
5665386480.8469546027457.1530453972558
5767376687.308081417949.6919185820936
5866516583.0967841913367.9032158086694
5965306446.4130629230283.5869370769827
6065636506.9562577735356.0437422264723


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
170.1208392144816550.2416784289633090.879160785518345
180.1872829694802630.3745659389605260.812717030519737
190.3146834937156250.629366987431250.685316506284375
200.2011976428555470.4023952857110950.798802357144452
210.285413011000980.570826022001960.71458698899902
220.4102611203643820.8205222407287630.589738879635618
230.3065336582557530.6130673165115070.693466341744247
240.8147368069304720.3705263861390560.185263193069528
250.8758624238017360.2482751523965270.124137576198264
260.9671141552596040.06577168948079160.0328858447403958
270.9934823909062120.01303521818757630.00651760909378813
280.9985097038351440.002980592329712790.00149029616485639
290.9995194973185280.0009610053629447840.000480502681472392
300.9999455758791260.0001088482417478175.44241208739086e-05
310.999959030084538.19398309385394e-054.09699154692697e-05
320.999957939194688.41216106393557e-054.20608053196779e-05
330.9999512201239379.75597521257433e-054.87798760628717e-05
340.9999768008442164.63983115672947e-052.31991557836474e-05
350.99993162536810.0001367492638020486.83746319010241e-05
360.9997984583730120.0004030832539757250.000201541626987862
370.9995832545454540.0008334909090915660.000416745454545783
380.9986887094386220.002622581122756450.00131129056137822
390.9991531414407240.001693717118551270.000846858559275634
400.9999170005362920.0001659989274154368.29994637077178e-05
410.9994905934289290.001018813142142560.000509406571071279
420.9972732480631420.005453503873715270.00272675193685764
430.9956318686762390.008736262647522680.00436813132376134


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level160.592592592592593NOK
5% type I error level170.62962962962963NOK
10% type I error level180.666666666666667NOK