Multiple Linear Regression - Estimated Regression Equation
test[t] = + 3.0081632803644 -0.0458583460107966I1[t] -0.0056787017022851I2[t] + 0.0487015324041718I3[t] -0.0421523402417902E1[t] + 0.0633028504811332E2[t] -0.114410684681444E3[t] + 0.00882487607121334A[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)3.00816328036443.3931370.88650.3791160.189558
I1-0.04585834601079660.130539-0.35130.7266810.36334
I2-0.00567870170228510.150675-0.03770.970070.485035
I30.04870153240417180.0913810.53290.5961770.298089
E1-0.04215234024179020.115508-0.36490.7165380.358269
E20.06330285048113320.1220550.51860.6060530.303027
E3-0.1144106846814440.125135-0.91430.3644790.18224
A0.008824876071213340.1143580.07720.9387640.469382


Multiple Linear Regression - Regression Statistics
Multiple R0.173164937220105
R-squared0.0299860954824428
Adjusted R-squared-0.0912656425822518
F-TEST (value)0.247304458979743
F-TEST (DF numerator)7
F-TEST (DF denominator)56
p-value0.971014839632296
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.34674468971515
Sum Squared Residuals308.403795767551


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
120.5471804795339031.4528195204661
200.58821959290833-0.58821959290833
300.64126609956884-0.64126609956884
440.7095813550949043.2904186449051
500.903359278894133-0.903359278894133
6-10.347758439342339-1.34775843934234
700.459542544083906-0.459542544083906
810.352783471620940.64721652837906
901.37294906410442-1.37294906410442
1030.998521396729122.00147860327088
11-11.00485159964457-2.00485159964457
1240.1942112493773583.80578875062264
1310.1615077770385780.838492222961422
1400.718565732337525-0.718565732337525
15-20.475192694332691-2.47519269433269
16-40.176006435527312-4.17600643552731
172-0.1031703050938692.10317030509387
1820.6335268324728621.36647316752714
19-40.106460659593727-4.10646065959373
2021.077316395288950.922683604711054
2120.3506908341256851.64930916587432
2200.57088632338773-0.57088632338773
23-30.699665750304022-3.69966575030402
2420.1776251719325621.82237482806744
2500.650704616817502-0.650704616817502
2640.6597440903273033.3402559096727
2720.4155945172036081.58440548279639
2820.8490395151572051.15096048484279
29-40.383562721220381-4.38356272122038
3031.206200531959741.79379946804026
3130.4139459799597432.58605402004026
3220.5719201191588061.42807988084119
33-1-0.156349525622386-0.843650474377614
34-30.718514811581437-3.71851481158144
353-0.3236508033152163.32365080331522
3600.0519869994459563-0.0519869994459563
3700.44310025262671-0.44310025262671
3800.186253706567822-0.186253706567822
3930.7499205786627632.25007942133724
4000.694591006660085-0.694591006660085
412-0.01518375753936582.01518375753937
42-10.339599431860698-1.3395994318607
4330.5070725378572472.49292746214275
4420.2675244719854891.73247552801451
4520.9750193965550871.02498060344491
46-2-0.148201331573775-1.85179866842622
470-0.1055671914062930.105567191406293
48-20.232293161552624-2.23229316155262
4901.02266067607571-1.02266067607571
5060.2976431815759395.70235681842406
51-30.650701122773605-3.6507011227736
5230.9369003176402672.06309968235973
5300.032617158620566-0.032617158620566
54-2-0.313366372047756-1.68663362795224
5510.5118241035763020.488175896423698
5600.785118300346036-0.785118300346036
572-0.002900266775515362.00290026677552
5820.5251445347158781.47485546528412
59-30.69808833210283-3.69808833210283
60-20.809811087886615-2.80981108788662
6110.8515692442219640.148430755778036
62-4-0.470715511360091-3.52928448863991
6310.4026119671509390.597388032849061
6400.53015741364301-0.53015741364301


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
110.03817600237860670.07635200475721340.961823997621393
120.1653939028605950.3307878057211910.834606097139405
130.1434618602197630.2869237204395270.856538139780237
140.1141906231497380.2283812462994770.885809376850262
150.3470297133127850.6940594266255710.652970286687215
160.5752778983815220.8494442032369550.424722101618478
170.5384968798348090.9230062403303830.461503120165191
180.4976201067210060.9952402134420120.502379893278994
190.5823437135057480.8353125729885040.417656286494252
200.4951272082785430.9902544165570870.504872791721457
210.44693799421250.8938759884250.5530620057875
220.401113416228790.8022268324575790.59888658377121
230.4629605654270920.9259211308541840.537039434572908
240.3968257219588380.7936514439176770.603174278041162
250.394209024678720.788418049357440.60579097532128
260.4649516325947470.9299032651894940.535048367405253
270.4446545389777880.8893090779555770.555345461022212
280.368759066894190.737518133788380.63124093310581
290.5694148243571140.8611703512857730.430585175642886
300.5307115057997510.9385769884004980.469288494200249
310.5375604056347810.9248791887304380.462439594365219
320.4811841400352790.9623682800705570.518815859964721
330.4041649312852280.8083298625704550.595835068714772
340.6026617116061060.7946765767877880.397338288393894
350.6778966742014170.6442066515971660.322103325798583
360.5997429266561770.8005141466876470.400257073343823
370.5171440682496010.9657118635007990.482855931750399
380.4325140635740280.8650281271480570.567485936425972
390.4818787145926430.9637574291852860.518121285407357
400.4044815676885540.8089631353771090.595518432311446
410.4186055005770670.8372110011541330.581394499422934
420.4012009303584940.8024018607169880.598799069641506
430.5064834235540710.9870331528918580.493516576445929
440.590178717579980.8196425648400410.40982128242002
450.7011622011454540.5976755977090920.298837798854546
460.6768343842483850.6463312315032310.323165615751615
470.6055242849886190.7889514300227620.394475715011381
480.8380162557433320.3239674885133360.161983744256668
490.8007090012867580.3985819974264850.199290998713242
500.8587002538338410.2825994923323180.141299746166159
510.7867173927506130.4265652144987750.213282607249387
520.7250411994369930.5499176011260150.274958800563007
530.6656448334693760.6687103330612470.334355166530624


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level00OK
10% type I error level10.0232558139534884OK