Multiple Linear Regression - Estimated Regression Equation
Broodprijzen[t] = + 1.37674903761831 + 0.0476820908725279Dummy1[t] + 0.0968243660889128Dummy2[t] + 0.0149811800172971Dummy3[t] + 0.00364815973913286Dummy4[t] + 0.106652028005743Bakmeel[t] -4.25201481723485e-05t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)1.376749037618310.04039934.078500
Dummy10.04768209087252790.00196324.286100
Dummy20.09682436608891280.00213245.425400
Dummy30.01498118001729710.00236.512400
Dummy40.003648159739132860.00017920.397900
Bakmeel0.1066520280057430.0788841.3520.1821110.091056
t-4.25201481723485e-058.5e-05-0.49870.6200830.310042


Multiple Linear Regression - Regression Statistics
Multiple R0.999089522014467
R-squared0.998179872999095
Adjusted R-squared0.997973820885786
F-TEST (value)4844.30786447532
F-TEST (DF numerator)6
F-TEST (DF denominator)53
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.0033811833505616
Sum Squared Residuals0.000605917245056093


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
11.431.43109905175307-0.00109905175307049
21.431.43105653160489-0.00105653160489032
31.431.43101401145672-0.00101401145671809
41.431.43097149130855-0.000971491308545764
51.431.43199549144043-0.00199549144043077
61.431.43195297129226-0.00195297129225846
71.441.431910451144090.00808954885591388
81.481.4806165421485-0.000616542148499051
91.481.48057402200033-0.000574022000326703
101.481.479464981572100.000535018427903076
111.481.479422461423920.000577538576075424
121.481.479379941275750.000620058724247772
131.481.479337421127580.000662578872420121
141.481.479294900979410.000705099020592469
151.481.479252380831240.000747619168764818
161.481.479209860683060.000790139316937166
171.481.479167340534890.000832659465109514
181.481.479124820386720.000875179613281863
191.481.479082300238550.000917699761454211
201.481.48010630037043-0.000106300370430871
211.481.48006378022226-6.37802222585223e-05
221.481.48002126007409-2.12600740861740e-05
231.481.48104526020597-0.00104526020597126
241.481.4810027400578-0.00100274005779891
251.481.48096021990963-0.00096021990962656
261.481.48091769976145-0.00091769976145421
271.481.48087517961328-0.000875179613281862
281.481.48083265946511-0.000832659465109514
291.481.48079013931694-0.000790139316937166
301.481.48074761916876-0.000747619168764817
311.481.48070509902059-0.000705099020592469
321.481.48066257887242-0.00066257887242012
331.481.479553538444190.000446461555809658
341.481.479511018296020.000488981703982006
351.481.479468498147850.000531501852154354
361.481.479425977999670.000574022000326703
371.481.47938345785150.000616542148499051
381.571.5772318240723-0.00723182407229876
391.581.578255824204180.00174417579581617
401.581.578213304056010.00178669594398852
411.581.578170783907840.00182921609216086
421.581.578128263759670.00187173624033321
431.591.59671508336792-0.00671508336792435
441.61.60032072295888-0.000320722958884853
451.61.60392636254985-0.00392636254984536
461.611.607532002140810.00246799785919413
471.611.61220416201182-0.00220416201182380
481.611.61580980160278-0.00580980160278431
491.621.619415441193740.000584558806255193
501.631.623021080784710.00697891921529447
511.631.626626720375670.00337327962433396
521.641.629165839686570.0108341603134309
531.641.633837999557590.00616200044241296
541.641.636377118868490.00362288113150988
551.641.639982758459451.72415405493680e-05
561.641.64465491833047-0.00465491833046857
571.651.647194037641370.00280596235862836
581.651.65079967723233-0.000799677232332149
591.651.65440531682329-0.00440531682329266
601.651.65801095641425-0.00801095641425316


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
100.7739180696886990.4521638606226030.226081930311301
110.6432323218519690.7135353562960610.356767678148031
120.5105203789750680.9789592420498650.489479621024932
130.389162207489990.778324414979980.61083779251001
140.2857981949037080.5715963898074160.714201805096292
150.2023856939342800.4047713878685610.79761430606572
160.1382340571729120.2764681143458230.861765942827088
170.09122407570236390.1824481514047280.908775924297636
180.0585448736016780.1170897472033560.941455126398322
190.037372241739650.07474448347930.96262775826035
200.02954007348549210.05908014697098420.970459926514508
210.02007019617481580.04014039234963160.979929803825184
220.01326481905767650.02652963811535310.986735180942323
230.00841173269725450.0168234653945090.991588267302746
240.004733299465470610.009466598930941220.99526670053453
250.002495822349729560.004991644699459120.99750417765027
260.001250505470524840.002501010941049670.998749494529475
270.000597824803303810.001195649606607620.999402175196696
280.0002727144522704780.0005454289045409550.99972728554773
290.0001184383650154380.0002368767300308760.999881561634985
304.88151434487691e-059.76302868975382e-050.999951184856551
311.90910209652536e-053.81820419305071e-050.999980908979035
327.21299868379037e-061.44259973675807e-050.999992787001316
332.75396185755998e-065.50792371511996e-060.999997246038142
341.01473542438012e-062.02947084876023e-060.999998985264576
353.52732125553602e-077.05464251107204e-070.999999647267874
361.13701449030775e-072.2740289806155e-070.99999988629855
373.41751354709079e-086.83502709418157e-080.999999965824865
381.79021519541505e-083.58043039083009e-080.999999982097848
398.58522447591033e-071.71704489518207e-060.999999141477552
409.57314447626582e-071.91462889525316e-060.999999042685552
415.56025034460861e-071.11205006892172e-060.999999443974966
422.47800894435532e-074.95601788871065e-070.999999752199106
433.35096191529875e-076.7019238305975e-070.999999664903809
441.17036784044181e-072.34073568088362e-070.999999882963216
458.8004149935026e-071.76008299870052e-060.9999991199585
466.79646240553768e-071.35929248110754e-060.99999932035376
472.54632883548039e-065.09265767096078e-060.999997453671164
480.002784042807335890.005568085614671780.997215957192664
490.03794769834171060.07589539668342120.96205230165829
500.02893882386138170.05787764772276340.971061176138618


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level250.609756097560976NOK
5% type I error level280.682926829268293NOK
10% type I error level320.780487804878049NOK