Multiple Linear Regression - Estimated Regression Equation
Broodprijzen[t] = + 1.42739788145102 + 0.0493205345320607Dummy2[t] + 0.0961175746131058Dummy3[t] + 0.0170539138171548Dummy1[t] + 0.0035911662386438Dummy4[t] + 0.00294529473975772M1[t] + 0.00298200793887241M2[t] + 0.00424223606060671M3[t] + 0.00550246418234103M4[t] + 0.00476269230407537M5[t] + 0.00402292042580968M6[t] + 0.00315413253638430M7[t] + 0.00183202050397774M8[t] + 0.00237401537798331M9[t] + 0.00291601025198887M10[t] + 0.00145800512599444M11[t] + 2.15386305369157e-05t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)1.427397881451020.002198649.375600
Dummy20.04932053453206070.00207523.773500
Dummy30.09611757461310580.00223443.030600
Dummy10.01705391381715480.0024586.937700
Dummy40.00359116623864380.00017720.344100
M10.002945294739757720.0022361.3170.1948140.097407
M20.002982007938872410.0022771.30980.1972050.098602
M30.004242236060606710.0022691.86930.0683980.034199
M40.005502464182341030.0022642.43020.0193360.009668
M50.004762692304075370.0022612.10650.0410330.020516
M60.004022920425809680.002261.78030.0820970.041048
M70.003154132536384300.0022441.40540.1670980.083549
M80.001832020503977740.002220.82510.4138740.206937
M90.002374015377983310.0022111.07390.2888630.144431
M100.002916010251988870.0022041.32320.1927540.096377
M110.001458005125994440.00220.66290.510950.255475
t2.15386305369157e-057.4e-050.29160.771960.38598


Multiple Linear Regression - Regression Statistics
Multiple R0.999219553376748
R-squared0.998439715850428
Adjusted R-squared0.997859145004076
F-TEST (value)1719.75517221279
F-TEST (DF numerator)16
F-TEST (DF denominator)43
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.00347554912147548
Sum Squared Residuals0.000519415992918925


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
11.431.43036471482132-0.000364714821318268
21.431.43042296665096-0.000422966650962066
31.431.43170473340323-0.0017047334032334
41.431.43298650015550-0.00298650015550467
51.431.43226826690778-0.00226826690777584
61.431.43155003366005-0.00155003366004712
71.441.430702784401160.00929721559884135
81.481.478722745531350.00127725446865037
91.481.479286279035890.000713720964107889
101.481.479849812540430.000150187459565413
111.481.478413346044980.00158665395502293
121.481.476976879549520.00302312045048046
131.481.479943712919815.62870801858207e-05
141.481.48000196474947-1.96474946578098e-06
151.481.48128373150174-0.00128373150173700
161.481.48256549825401-0.00256549825400823
171.481.48184726500628-0.00184726500627949
181.481.48112903175855-0.00112903175855072
191.481.48028178249966-0.000281782499662258
201.481.478981209097790.00101879090220739
211.481.479544742602340.000455257397664907
221.481.48010827610688-0.000108276106877574
231.481.478671809611420.00132819038857995
241.481.477235343115960.00276465688403747
251.481.48020217648626-0.000202176486257168
261.481.48026042831591-0.000260428315908769
271.481.48154219506818-0.00154219506817999
281.481.48282396182045-0.00282396182045122
291.481.48210572857272-0.00210572857272248
301.481.48138749532499-0.00138749532499371
311.481.48054024606611-0.000540246066105246
321.481.479239672664240.0007603273357644
331.481.479803206168780.000196793831221919
341.481.48036673967332-0.000366739673320562
351.481.478930273177860.00106972682213696
361.481.477493806682410.00250619331759448
371.481.4804606400527-0.000460640052700156
381.571.57663646649546-0.00663646649545754
391.581.577918233247730.00208176675227125
401.581.57920.00080000000000001
411.581.578481766752270.00151823324772876
421.581.577763533504540.00223646649545753
431.591.59756136430145-0.00756136430145254
441.61.599851957138230.000148042861773317
451.61.60400665688141-0.00400665688141297
461.611.60816135662460.00183864337540076
471.611.61031605636779-0.000316056367785525
481.611.61247075611097-0.0024707561109718
491.621.619028755719910.000971244280089771
501.631.622678173788210.00732182621179416
511.631.627551106779120.00244889322087914
521.641.632424039770040.00757596022996411
531.641.635296972760950.00470302723904905
541.641.638169905751870.00183009424813402
551.641.64091382273162-0.00091382273162132
561.641.64320441556840-0.00320441556839548
571.651.647359115311580.00264088468841825
581.651.65151381505477-0.00151381505476803
591.651.65366851479795-0.00366851479795431
601.651.65582321454114-0.00582321454114059


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
200.6010409665360620.7979180669278770.398959033463938
210.4277339398600890.8554678797201770.572266060139911
220.2785653780028360.5571307560056710.721434621997164
230.1822665170290580.3645330340581150.817733482970942
240.1707288893358900.3414577786717810.82927111066411
250.1607410963537160.3214821927074310.839258903646284
260.1115760471553360.2231520943106710.888423952844664
270.06386209591137860.1277241918227570.936137904088621
280.03859339077257090.07718678154514180.96140660922743
290.02279331876339000.04558663752678010.97720668123661
300.01427010397115220.02854020794230450.985729896028848
310.02736752641630180.05473505283260350.972632473583698
320.01730530284719160.03461060569438330.982694697152808
330.009155725191977980.01831145038395600.990844274808022
340.00402920864552580.00805841729105160.995970791354474
350.001807653916458560.003615307832917130.998192346083541
360.002893078084365930.005786156168731870.997106921915634
370.001105782733096720.002211565466193450.998894217266903
380.001360217231812310.002720434463624620.998639782768188
390.01582953295426940.03165906590853870.98417046704573
400.01000979355845740.02001958711691470.989990206441543


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level50.238095238095238NOK
5% type I error level110.523809523809524NOK
10% type I error level130.619047619047619NOK