Multiple Linear Regression - Estimated Regression Equation
totaal[t] = -1.92075481494960e-10 + 1.00000000000000`-25`[t] + 1`25-50`[t] + 0.999999999999998`50+`[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-1.92075481494960e-100-0.50150.6176370.308818
`-25`1.00000000000000089750538545350600
`25-50`1067697103130847900
`50+`0.999999999999998064921562344393100


Multiple Linear Regression - Regression Statistics
Multiple R1
R-squared1
Adjusted R-squared1
F-TEST (value)5.33104264565564e+30
F-TEST (DF numerator)3
F-TEST (DF denominator)68
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation1.18581389824984e-10
Sum Squared Residuals9.56185128872081e-19


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1492865492864.9999999999.26673511975864e-10
2480961480961-2.67969660651108e-10
34619354619356.78705994223098e-11
4456608456608-5.52190891363362e-11
5441977441977-1.24814347712625e-11
6439148439148-1.57527062246293e-11
7488180488180-1.44076740092134e-11
8520564520564-1.25227797260940e-11
9501492501492-6.8526252873035e-12
10485025485025-8.91792840309037e-12
11464196464196-4.21976078089364e-12
12460170460170-5.94196110780889e-12
13467037467037-1.72987645481664e-11
14460070460070-7.93154427602631e-12
15447988447988-7.9813038090314e-12
16442867442867-1.53208092951003e-11
17436087436087-6.38005931818457e-12
18431328431328-3.11532157788973e-12
19484015484015-6.55231796622095e-12
20509673509673-9.5169330210882e-12
21512927512927-6.27506190940955e-12
22502831502831-5.2106696310613e-12
234709844709844.76837549624696e-12
24471067471067-9.5786834145563e-12
25476049476049-1.47048468851664e-11
26474605474605-1.73870981885134e-11
27470439470439-1.42484835685310e-11
28461251461251-1.81098900816405e-11
29454724454724-1.77039689672761e-11
30455626455626-2.02574485347666e-11
31516847516847-2.27674114187529e-11
32525192525192-2.92458799436271e-12
33522975522975-8.55917427145767e-12
34518585518585-5.15083668725128e-12
35509239509239-1.41044223765113e-11
36512238512238-1.83213356946622e-11
37519164519164-2.31364873242568e-11
38517009517009-2.29843832264133e-11
39509933509933-2.33656886785722e-11
40509127509127-2.72741187608584e-11
41500857500857-2.82873235955171e-11
42506971506971-2.69341622287699e-11
43569323569323-2.43897126520839e-11
44579714579714-1.71977860099735e-11
45577992577992-2.43629233848317e-11
46565464565464-1.84933055870166e-11
47547344547344-1.65162806140562e-11
48554788554788-1.90042890853411e-11
49562325562325-2.39628546342624e-11
50560854560854-2.3410760808031e-11
51555332555332-2.61230500579071e-11
52543599543599-2.08962197915497e-11
53536662536662-2.33077719012836e-11
54542722542722-2.47518923570204e-11
55593530593530-1.69979695174504e-11
56610763610763-5.44547335686746e-14
576126136126139.85309778362473e-12
58611324611324-9.21661278515814e-13
595941675941671.46734883478915e-12
60595454595454-2.13412815196489e-12
61590865590865-7.76527338439906e-12
62589379589379-1.25238191865931e-11
63584428584428-8.17291626910824e-12
645731005731005.43684996875974e-12
65567456567456-1.45242816613363e-12
66569028569028-3.18981807553289e-13
676207356207351.47580543229725e-11
686288846288841.60210555322746e-11
696282326282322.65098873283114e-11
706121176121172.03896997592206e-11
715954045954042.74946940527494e-11
725971415971411.71840622492783e-11


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
70.008973983553862160.01794796710772430.991026016446138
82.55068043167411e-055.10136086334823e-050.999974493195683
90.0004257988266228170.0008515976532456340.999574201173377
103.31593071127936e-076.63186142255871e-070.999999668406929
110.04461801570088250.0892360314017650.955381984299118
120.1469151569651600.2938303139303190.85308484303484
130.0684783265199860.1369566530399720.931521673480014
140.006440636451746710.01288127290349340.993559363548253
150.9097136621928930.1805726756142130.0902863378071067
160.9671877141922950.06562457161540920.0328122858077046
170.9978815961021730.004236807795654950.00211840389782747
180.999998320649143.35870171748920e-061.67935085874460e-06
190.9785247552906140.04295048941877190.0214752447093860
208.97176945126172e-071.79435389025234e-060.999999102823055
2111.26377831258784e-166.31889156293921e-17
220.9999340660979940.0001318678040118726.59339020059359e-05
230.9999998901945532.19610893055526e-071.09805446527763e-07
240.7766444678866550.4467110642266900.223355532113345
253.96806833111036e-087.93613666222072e-080.999999960319317
260.7097629047933660.5804741904132680.290237095206634
270.0002282984637577390.0004565969275154780.999771701536242
280.9999996953682376.09263526198909e-073.04631763099455e-07
290.9999999999999975.70979961696751e-152.85489980848375e-15
304.27193752751168e-098.54387505502336e-090.999999995728063
310.1120816666324170.2241633332648350.887918333367583
320.05163442183849520.1032688436769900.948365578161505
330.5450652281432960.9098695437134080.454934771856704
349.49987947908819e-111.89997589581764e-100.999999999905
350.9999283494454980.0001433011090029457.16505545014724e-05
360.0004627348079611740.0009254696159223480.99953726519204
370.0004649493189519390.0009298986379038780.999535050681048
381.53258856527825e-093.0651771305565e-090.999999998467411
397.75084531353408e-191.55016906270682e-181
400.9991611936266530.001677612746693500.000838806373346748
410.9999999264762281.47047544165287e-077.35237720826436e-08
420.6947868225274510.6104263549450980.305213177472549
432.08551357439141e-094.17102714878282e-090.999999997914486
440.999999999029021.94195966671546e-099.70979833357729e-10
450.04018910614084340.08037821228168690.959810893859157
460.02263257744059160.04526515488118320.977367422559408
470.6300508397126860.7398983205746270.369949160287314
480.9999999771622024.56755961602263e-082.28377980801131e-08
490.9999890804521822.18390956362281e-051.09195478181141e-05
504.68750710949181e-519.37501421898363e-511
510.9003589070987580.1992821858024840.0996410929012422
520.08868936864729080.1773787372945820.91131063135271
530.9999999999981573.68620486185772e-121.84310243092886e-12
540.9992614264578870.001477147084225890.000738573542112947
550.9999999963542187.29156444798151e-093.64578222399076e-09
560.9999992543400581.49131988472629e-067.45659942363143e-07
572.32231319700891e-054.64462639401781e-050.99997677686803
580.9966693006212630.006661398757473140.00333069937873657
590.999999999992921.41607764550320e-117.08038822751601e-12
600.000283758813343160.000567517626686320.999716241186657
610.8842259922896650.231548015420670.115774007710335
620.9712454986515270.05750900269694650.0287545013484732
630.03062316389162810.06124632778325620.969376836108372
640.002214408786542590.004428817573085180.997785591213457
650.9994716155277610.001056768944477670.000528384472238835


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level370.627118644067797NOK
5% type I error level410.694915254237288NOK
10% type I error level460.779661016949153NOK