Multiple Linear Regression - Estimated Regression Equation
Soldiers[t] = + 82.19825815463 -48.8422479664777Dummy[t] -4.8590042294134M1[t] -9.68968586530826M2[t] -24.3324383487682M3[t] -15.4262982655884M4[t] -12.5426941871975M5[t] -14.8997323849432M6[t] -5.27930658747765M7[t] -13.1099882233725M8[t] -13.3136583447774M9[t] -12.9839117965813M10[t] -24.075289231624M11[t] -0.0489972260369107t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)82.1982581546310.2343288.031600
Dummy-48.84224796647776.778625-7.205300
M1-4.859004229413412.205622-0.39810.6918450.345922
M2-9.6896858653082612.32179-0.78640.4344560.217228
M3-24.332438348768212.182607-1.99730.0499170.024959
M4-15.426298265588412.173329-1.26720.2095290.104765
M5-12.542694187197512.274483-1.02190.3105820.155291
M6-14.899732384943212.159246-1.22540.2247860.112393
M7-5.2793065874776512.154448-0.43440.665450.332725
M8-13.109988223372512.240395-1.0710.2880510.144026
M9-13.313658344777412.596936-1.05690.2944120.147206
M10-12.983911796581312.823909-1.01250.3150080.157504
M11-24.07528923162412.649201-1.90330.0613630.030682
t-0.04899722603691070.134976-0.3630.717760.35888


Multiple Linear Regression - Regression Statistics
Multiple R0.781049808513339
R-squared0.610038803378723
Adjusted R-squared0.53322826465029
F-TEST (value)7.94212374340375
F-TEST (DF numerator)13
F-TEST (DF denominator)66
p-value3.04937552986217e-09
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation21.8072579105914
Sum Squared Residuals31386.7288402174


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
13777.2902566991794-40.2902566991794
23023.56832987077026.43167012922982
34757.7188281277509-10.7188281277509
43566.5759709848939-31.5759709848939
53020.56832987077019.4316701292299
64367.0045424134652-24.0045424134652
78276.57597098489385.42402901510618
84068.6962921229621-28.6962921229621
94768.4436247755203-21.4436247755203
101919.8821261312018-0.88212613120179
115257.5839994365999-5.58399943659992
1213681.610291442186954.3897085578131
138076.70228998673673.29771001326335
144271.8226111248048-29.8226111248048
155457.130861415308-3.13086141530805
166665.98800427245090.0119957275490812
178168.822611124804912.1773888751951
186366.4165757010223-3.41657570102233
1913775.988004272450961.0119957275491
207268.10832541051923.89167458948085
2110767.855658063077339.1443419369227
225868.1364073852366-10.1364073852366
233656.996032724157-20.9960327241570
245281.022324729744-29.022324729744
257976.11432327429372.88567672570628
267771.23464441236195.76535558763807
275456.5428947028651-2.54289470286513
288465.40003756000818.599962439992
294868.234644412362-20.2346444123619
309665.828608988579430.1713910114206
318375.4000375600087.59996243999201
326667.5203586980762-1.52035869807623
336167.2676913506344-6.2676913506344
345367.5484406727937-14.5484406727937
35307.5658180452363122.4341819547637
367480.434358017301-6.43435801730108
376975.5263565618508-6.52635656185079
385970.646677699919-11.646677699919
394255.9549279904222-13.9549279904222
406564.81207084756510.187929152434931
417067.6466776999192.35332230008098
4210065.240642276136534.7593577238635
436374.812070847565-11.8120708475651
4410566.932391985633338.0676080143667
458266.679724638191515.3202753618085
468166.960473960350714.0395260396493
477555.820099299271119.1799007007289
4810279.846391304858122.1536086951418
4912174.938389849407946.0616101505921
509870.05871098747627.9412890125239
517655.366961277979320.6330387220207
527764.224104135122112.7758958648779
536367.0587109874761-4.0587109874761
543764.6526755636936-27.6526755636936
553574.2241041351221-39.2241041351221
562317.50217730671275.49782269328732
574066.0917579257486-26.0917579257485
582917.530259281430111.4697407185699
593755.2321325868282-18.2321325868282
605179.2584245924152-28.2584245924152
612025.5081751704872-5.50817517048724
622820.62849630855547.37150369144455
63135.936746599058647.06325340094136
642214.79388945620157.20611054379849
652517.62849630855557.37150369144453
661315.2224608847729-2.22246088477292
671624.7938894562015-8.7938894562015
681316.9142105942697-3.91421059426974
691616.6615432468279-0.661543246827923
701716.94229256898720.0577074310128269
7195.801917907907553.19808209209245
721729.8282099134946-12.8282099134946
732524.92020845804430.0797915419556903
741420.0405295961125-6.04052959611253
7585.348779886615722.65122011338428
76714.2059227437586-7.20592274375858
771017.0405295961125-7.04052959611254
78714.63449417233-7.63449417232999
791024.2059227437586-14.2059227437586
80316.3262438818268-13.3262438818268


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
170.3809356541385680.7618713082771360.619064345861432
180.2347706299081430.4695412598162860.765229370091857
190.337333607827450.67466721565490.66266639217255
200.2190770115439550.4381540230879090.780922988456045
210.2777198477703300.5554396955406610.72228015222967
220.1968564940227040.3937129880454080.803143505977296
230.4920700442860150.984140088572030.507929955713985
240.9894918252245660.02101634955086830.0105081747754342
250.9826008285937760.03479834281244800.0173991714062240
260.9716401772646510.05671964547069760.0283598227353488
270.9639240591894470.07215188162110690.0360759408105534
280.946202899965440.1075942000691180.0537971000345592
290.9653236435440840.06935271291183240.0346763564559162
300.9597078114933140.08058437701337220.0402921885066861
310.972247338084460.05550532383107960.0277526619155398
320.9616945014032960.07661099719340710.0383054985967036
330.9581810608923840.0836378782152320.041818939107616
340.958067436705240.08386512658952050.0419325632947603
350.937066311463360.1258673770732810.0629336885366406
360.932464502067340.1350709958653190.0675354979326596
370.9349536165848080.1300927668303830.0650463834151915
380.9468360156528950.106327968694210.053163984347105
390.9720286580074820.05594268398503690.0279713419925185
400.9702621283374270.05947574332514660.0297378716625733
410.9631452594474970.07370948110500690.0368547405525034
420.9685837006939190.06283259861216230.0314162993060811
430.9756203661203150.04875926775937060.0243796338796853
440.9849371001446450.03012579971070970.0150628998553548
450.978816209604640.04236758079071830.0211837903953591
460.9685318303012990.06293633939740250.0314681696987013
470.958835672608550.08232865478289990.0411643273914499
480.9704715693367440.05905686132651240.0295284306632562
490.99843997400020.003120051999599970.00156002599979999
500.9997900592112560.0004198815774889410.000209940788744471
510.9999581909544598.36180910824826e-054.18090455412413e-05
520.999999286663681.42667264019151e-067.13336320095755e-07
530.9999998304797823.39040435264190e-071.69520217632095e-07
540.9999996043030057.91393990156685e-073.95696995078342e-07
550.9999997788577544.42284492457833e-072.21142246228917e-07
560.999998845686952.30862610173089e-061.15431305086545e-06
570.9999964074085637.18518287461198e-063.59259143730599e-06
580.9999817597124323.6480575135959e-051.82402875679795e-05
590.9999211202529940.0001577594940127437.88797470063716e-05
600.999640060229290.0007198795414212950.000359939770710647
610.9998324735431080.0003350529137843840.000167526456892192
620.999062642849390.001874714301220920.000937357150610462
630.9953465272423090.009306945515382370.00465347275769118


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level150.319148936170213NOK
5% type I error level200.425531914893617NOK
10% type I error level350.74468085106383NOK