Multiple Linear Regression - Estimated Regression Equation
Broodje[t] = -7.42691561583133 + 1.04811765014689Speciaal400[t] -2.61442964511642Speciaal800[t] + 3.2573469180311Bruin800[t] -2.70183108968819Meergranen800[t] + 3.94236892588218Kramiek[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-7.426915615831331.460147-5.08647e-064e-06
Speciaal4001.048117650146891.8114270.57860.56580.2829
Speciaal800-2.614429645116422.218679-1.17840.2449820.122491
Bruin8003.25734691803111.9836771.64210.1077040.053852
Meergranen800-2.701831089688191.201291-2.24910.0295610.014781
Kramiek3.942368925882180.33444911.787600


Multiple Linear Regression - Regression Statistics
Multiple R0.987734791703141
R-squared0.975620018740847
Adjusted R-squared0.972849566325034
F-TEST (value)352.151877134699
F-TEST (DF numerator)5
F-TEST (DF denominator)44
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.0657388851358332
Sum Squared Residuals0.1901504448317


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
18.028.04813038727822-0.0281303872782162
27.988.06742446365087-0.0874244636508691
37.987.98945109957894-0.00945109957894154
47.978.02887478883777-0.0588747888377666
57.967.977045721217-0.0170457212170024
67.957.98030346280476-0.0303034628047589
77.947.98030346280476-0.0403034628047588
87.917.94772999362445-0.0377299936244479
97.97.97474830452133-0.074748304521329
107.97.882621533196030.0173784668039731
117.887.88262153319603-0.00262153319602736
127.887.870216154834090.00978384516591103
137.867.79462651790420.0653734820958012
147.867.735034737827010.124965262172994
157.867.722629359465070.137370640534933
167.847.722629359465070.117370640534933
177.797.721755345019350.06824465498065
187.627.75203139750399-0.132031397503988
197.67.64474230583951-0.044742305839506
207.557.47794774454420.0720522554558047
217.537.498115835362570.0318841646374337
227.57.453136987820310.0468630121796865
237.47.326139330619030.073860669380973
247.357.261904884636330.0880951153636712
257.317.39028391407906-0.0802839140790565
267.357.285292239110250.0647077608897491
277.387.323841913923350.056158086076646
287.377.324715928369070.0452840716309286
297.377.311436535561410.0585634644385858
307.327.205570846146890.114429153853109
317.247.27201284630259-0.0320128463025931
327.217.27201284630259-0.0620128463025933
337.217.27201284630259-0.0620128463025933
347.197.19316546778495-0.00316546778494753
357.147.14326060202466-0.00326060202465832
367.137.14133640016419-0.0113364001641886
377.127.15374177852613-0.0337417785261268
387.087.1556659803866-0.0756659803865976
397.047.07681860186896-0.0368186018689557
407.047.07681860186896-0.0368186018689557
417.037.07681860186896-0.0468186018689555
427.036.997971223351310.0320287766486899
436.997.03547071074966-0.0454707107496604
4476.953365590644260.0466344093557363
456.976.98593905982457-0.015939059824575
466.917.00652819799231-0.0965281979923085
476.836.83642806259508-0.00642806259508285
486.86.83642806259508-0.0364280625950831
496.796.79144921505283-0.00144921505283227
506.776.79144921505283-0.0214492150528327


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
90.02861123987187290.05722247974374590.971388760128127
100.0180270393002020.0360540786004040.981972960699798
110.006593912876721560.01318782575344310.993406087123278
120.003333952926968670.006667905853937350.996666047073031
130.001025821518911010.002051643037822030.998974178481089
140.0003144625648415990.0006289251296831970.999685537435158
150.0001204181229679720.0002408362459359430.999879581877032
163.38774219488408e-056.77548438976817e-050.999966122578051
170.0002975603137908320.0005951206275816640.999702439686209
180.05453691560990510.109073831219810.945463084390095
190.1413483033454570.2826966066909150.858651696654543
200.2509660880399830.5019321760799670.749033911960017
210.2066540371220550.413308074244110.793345962877945
220.1868661364469010.3737322728938030.813133863553099
230.1302487926742760.2604975853485520.869751207325724
240.1194013399522210.2388026799044430.880598660047779
250.1462463494660710.2924926989321420.853753650533929
260.1037215350942810.2074430701885620.896278464905719
270.1205869211669970.2411738423339940.879413078833003
280.08034190225942760.1606838045188550.919658097740572
290.1267317760650520.2534635521301040.873268223934948
300.847887934740620.304224130518760.15211206525938
310.8844368807053110.2311262385893780.115563119294689
320.9120463921522530.1759072156954940.0879536078477469
330.9131323311468720.1737353377062570.0868676688531285
340.9644779931128680.07104401377426420.0355220068871321
350.9678677003186190.0642645993627610.0321322996813805
360.9704956484812370.05900870303752550.0295043515187628
370.998496430914030.003007138171940010.00150356908597001
380.9965854883162320.006829023367535310.00341451168376765
390.9903136910209880.0193726179580240.00968630897901198
400.9722084711497240.05558305770055260.0277915288502763
410.9632302398677330.07353952026453470.0367697601322673


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level80.242424242424242NOK
5% type I error level110.333333333333333NOK
10% type I error level170.515151515151515NOK