Multiple Linear Regression - Estimated Regression Equation
S.[t] = + 17.8743967092323 + 0.28362403777993E.S[t] -1.28301434053189M1[t] -5.00054413482562M2[t] -0.949437394542677M3[t] -1.00592757515550M4[t] -0.554820834872551M5[t] -1.56043890214559M6[t] -4.24968100719855M7[t] -1.74770215357581M8[t] -0.153320220848849M9[t] -0.675314250341956M10[t] -1.44818039317485M11[t] -0.25110674028295t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)17.87439670923231.8368139.731200
E.S0.283624037779930.0368437.698300
M1-1.283014340531891.536526-0.8350.4079370.203968
M2-5.000544134825621.614555-3.09720.0032920.001646
M3-0.9494373945426771.612181-0.58890.5587380.279369
M4-1.005927575155501.606739-0.62610.5342990.26715
M5-0.5548208348725511.60516-0.34560.7311490.365575
M6-1.560438902145591.603934-0.97290.3355920.167796
M7-4.249681007198551.604423-2.64870.0109670.005484
M8-1.747702153575811.601678-1.09120.2807610.14038
M9-0.1533202208488491.600764-0.09580.9241030.462052
M10-0.6753142503419561.60063-0.42190.6750180.337509
M11-1.448180393174851.600518-0.90480.3701760.185088
t-0.251106740282950.019249-13.045400


Multiple Linear Regression - Regression Statistics
Multiple R0.932411502373107
R-squared0.869391209757674
Adjusted R-squared0.833265374158733
F-TEST (value)24.0656360010440
F-TEST (DF numerator)13
F-TEST (DF denominator)47
p-value2.22044604925031e-16
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.52938346360975
Sum Squared Residuals300.695693181175


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
12425.6998688751552-1.69986887515521
22222.0148563783584-0.0148563783583963
32526.3821044539183-1.38210445391827
42426.0745075330225-2.07450753302250
52926.84175560858232.15824439141765
62626.7195269521461-0.719526952146089
72621.79380984235074.20619015764934
82121.2084415778911-0.208441577891149
92322.26809273255520.731907267444769
102220.92774388721931.07225611278068
112121.3218911930031-0.321891193003126
121619.6827244680957-3.68272446809572
131921.8357158784200-2.83571587841997
141617.8670793438433-1.86707934384330
152522.8015754949632.19842450503699
162723.3448506874073.65514931259298
172323.2612266496271-0.261226649627091
182221.15362972873130.846370271268685
192318.21328088339544.7867191166046
202020.4641529967352-0.464152996735191
212422.94192434029891.05807565970108
222323.0196956838627-0.0196956838626574
232020.5776026118472-0.577602611847163
242122.3419243402989-1.34192434029892
252222.5095474861637-0.509547486163658
261718.2572869138071-1.25728691380705
272119.50467057378771.49532942621232
281920.8988178795715-1.89881787957148
292321.38244191735141.61755808264859
302219.27484499645562.72515500354436
311518.3198644155792-3.31986441557923
322320.00348845335922.99651154664084
332121.6303876835831-0.630387683583105
341820.0064148004673-2.00641480046726
351816.14620153955211.85379846044789
361817.3432751924440.656724807555986
371816.09277814940911.90722185059090
38108.437029123693331.56297087630667
391313.9387733503729-0.938773350372907
401013.0639283539173-3.06392835391727
41914.398424505037-5.39842450503699
42913.7089477730409-4.70894777304087
4369.3504787388053-3.3504787388053
44119.899606625465511.10039337453449
4599.82476162900988-0.824761629009875
46108.200788745894031.79921125410597
47910.0130562405775-1.01305624057748
481611.77737796902924.22262203097076
49109.39238477487460.607615225125391
5075.423748240297931.57625175970207
5178.37287612695814-1.37287612695814
521410.61789554608173.38210445391827
53119.116151319402151.88384868059785
54108.14305054962611.85694945037390
5568.32256611986941-2.32256611986941
56811.4243103465490-3.42431034654899
571313.3348336145529-0.334833614552865
581212.8453568825567-0.845356882556735
591514.94124841502010.0587515849798848
601615.85469803013210.145301969867906
611613.46970483597752.53029516402254


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
170.2869035760269910.5738071520539820.713096423973009
180.5039461144576480.9921077710847040.496053885542352
190.4810220281687620.9620440563375240.518977971831238
200.4071199817817040.8142399635634090.592880018218296
210.297382674509780.594765349019560.70261732549022
220.2114464688658830.4228929377317670.788553531134117
230.1351912319417800.2703824638835610.86480876805822
240.1135355557289010.2270711114578010.8864644442711
250.07483312855267460.1496662571053490.925166871447325
260.05356760666502760.1071352133300550.946432393334972
270.03386292696355120.06772585392710230.96613707303645
280.04474315442890800.08948630885781610.955256845571092
290.03295326664900650.0659065332980130.967046733350994
300.04266189632987990.08532379265975980.95733810367012
310.2658210465954390.5316420931908770.734178953404561
320.4189512920563610.8379025841127220.581048707943639
330.3893418571381540.7786837142763090.610658142861846
340.3306755895413580.6613511790827160.669324410458642
350.3746317267576190.7492634535152380.625368273242381
360.3196710871808590.6393421743617180.680328912819141
370.3579303554640670.7158607109281330.642069644535933
380.3105937906230560.6211875812461110.689406209376944
390.5361432950094350.927713409981130.463856704990565
400.547290078754880.905419842490240.45270992124512
410.5946155169546350.810768966090730.405384483045365
420.6511913484149260.6976173031701480.348808651585074
430.7012003388957130.5975993222085740.298799661104287
440.575591470415260.8488170591694790.424408529584739


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 level40.142857142857143NOK