Multiple Linear Regression - Estimated Regression Equation
Chocolade[t] = + 116.668997738777 + 0.00156233966989654Cacao[t] -0.749158502206502Suiker[t] + 0.0048421384532872Grondnoten[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)116.6689977387776.0513919.279700
Cacao0.001562339669896540.0010321.51380.1360090.068004
Suiker-0.7491585022065020.182389-4.10750.0001397e-05
Grondnoten0.00484213845328720.001952.48270.0162410.008121


Multiple Linear Regression - Regression Statistics
Multiple R0.758359579084536
R-squared0.575109251189275
Adjusted R-squared0.551058831445272
F-TEST (value)23.9126492306927
F-TEST (DF numerator)3
F-TEST (DF denominator)53
p-value6.38400776686865e-10
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.9574051191386
Sum Squared Residuals463.55098705148


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1100.44100.628849131168-0.188849131167517
2100.88100.8531876415150.0268123584847969
3101.42100.9110580333270.508941966672553
499.97100.637767258683-0.667767258682527
5100.5699.62063790795190.939362092048148
699.51100.162925922058-0.65292592205792
798.96100.459130621604-1.49913062160416
8100.85100.0013084864560.848691513544215
9100.66100.1925879278490.467412072151346
10100.22100.31242375893-0.0924237589303361
11100.399.98217811636280.31782188363717
12100.7399.5767103295781.15328967042198
13101.4699.8152491088641.64475089113603
14101.35100.0230827035741.32691729642574
15101.14100.3195705636090.8204294363909
16101.6899.98956984780291.69043015219715
17101.47100.069031135221.40096886477983
18100.59100.4475642297840.14243577021632
19101.18100.3814867017210.798513298279315
20100.87100.4818216668920.388178333107574
2199.79100.464907510612-0.674907510611772
22100.74100.485080875670.254919124330061
2399.34101.345755677424-2.00575567742351
24100.07102.920982209606-2.85098220960607
25103.68103.888363239844-0.208363239844097
26103.52104.442058081905-0.922058081904553
27104.68104.1426090846480.53739091535196
28103.75104.236582821631-0.486582821630952
29103.7104.436488720043-0.736488720042878
30102.98104.979449290742-1.99944929074166
31106.3104.418568323581.88143167641978
32107.21105.3102349471431.89976505285717
33106.83106.1341004976090.69589950239134
34105.6106.282739628256-0.682739628255924
35104.3106.924434198127-2.62443419812747
36104.43107.87793608577-3.44793608577044
37104.36108.398379104904-4.03837910490394
38106.21107.692823180668-1.48282318066791
39107.34107.2881750947230.0518249052770176
40106.92106.8083526521380.111647347862366
41104.8105.987760324182-1.1877603241816
42103.85105.274412481251-1.42441248125139
43103.39105.43534814944-2.04534814944043
44103.38105.581573521157-2.20157352115725
45103.93106.078038572441-2.14803857244138
46104.41107.014240201553-2.60424020155318
47104.47106.364182185619-1.89418218561891
48103.84107.582360055091-3.74236005509077
49103.65107.967230223254-4.31723022325357
50103.17108.289647365043-5.11964736504314
51103.4108.620288410106-5.22028841010626
52112.72108.4859837212324.23401627876775
53114.77109.2994119279095.4705880720908
54116.18108.9832233960457.19677660395545
55116.93108.3772588600628.5527411399378
56115.19107.8234054733987.36659452660232
57114.55108.1114728142256.43852718577467


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
70.01109192633143230.02218385266286460.988908073668568
80.003073415896208160.006146831792416320.996926584103792
90.0008108609247501580.001621721849500320.99918913907525
100.0003330320415518530.0006660640831037070.999666967958448
115.94661321646689e-050.0001189322643293380.999940533867835
124.89564065201209e-059.79128130402419e-050.99995104359348
134.24256990492723e-058.48513980985447e-050.99995757430095
141.40157723615351e-052.80315447230702e-050.999985984227639
153.03142571801483e-066.06285143602967e-060.999996968574282
167.28735107506242e-071.45747021501248e-060.999999271264893
171.57785564996345e-073.1557112999269e-070.999999842214435
185.74893316062774e-081.14978663212555e-070.999999942510668
191.28931498096247e-082.57862996192494e-080.99999998710685
202.72384101857145e-095.44768203714291e-090.99999999727616
211.6794062612227e-093.3588125224454e-090.999999998320594
224.8523449229751e-109.7046898459502e-100.999999999514765
231.24095322983146e-102.48190645966291e-100.999999999875905
243.43281005865454e-116.86562011730907e-110.999999999965672
252.43002797781207e-094.86005595562414e-090.999999997569972
266.05611122770546e-101.21122224554109e-090.999999999394389
272.32774084593878e-104.65548169187756e-100.999999999767226
285.09279563882809e-111.01855912776562e-100.999999999949072
291.2393172920087e-112.4786345840174e-110.999999999987607
303.06175388300055e-116.12350776600111e-110.999999999969382
314.66852046271487e-119.33704092542974e-110.999999999953315
321.30462374706155e-102.6092474941231e-100.999999999869538
336.34258773306336e-111.26851754661267e-100.999999999936574
341.71678736716874e-113.43357473433749e-110.999999999982832
356.97109256835058e-121.39421851367012e-110.999999999993029
363.4478032232141e-116.8956064464282e-110.999999999965522
379.50461915210832e-101.90092383042166e-090.999999999049538
384.12772994249908e-108.25545988499817e-100.999999999587227
392.6050983495391e-105.21019669907819e-100.99999999973949
401.00898982527744e-102.01797965055488e-100.9999999998991
415.89293304080852e-111.1785866081617e-100.99999999994107
423.6146951492443e-117.2293902984886e-110.999999999963853
434.02151343994447e-118.04302687988895e-110.999999999959785
443.75891694918603e-117.51783389837206e-110.99999999996241
452.0980305991169e-114.19606119823379e-110.99999999997902
461.38080906927148e-112.76161813854297e-110.999999999986192
474.0625829147808e-128.1251658295616e-120.999999999995937
483.2416436180385e-126.48328723607701e-120.999999999996758
491.65136635712565e-123.3027327142513e-120.999999999998349
504.26550611620233e-068.53101223240466e-060.999995734493884


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level430.977272727272727NOK
5% type I error level441NOK
10% type I error level441NOK