Multiple Linear Regression - Estimated Regression Equation
Y[t] = + 1.82388126251341 + 0.892280450799985X[t] -2.05379470810230M1[t] -1.87816490349226M2[t] -4.25269657265825M3[t] -4.24507385084022M4[t] -0.926679174102201M5[t] + 0.0132594124758251M6[t] -0.357573955866153M7[t] -0.199789760272128M8[t] -1.4204616548381M9[t] -1.07312646661207M10[t] -1.77932810543403M11[t] -0.0187176242900313t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)1.823881262513413.7884730.48140.6324940.316247
X0.8922804507999850.1116127.994500
M1-2.053794708102302.848418-0.7210.474540.23727
M2-1.878164903492262.843325-0.66060.5121940.256097
M3-4.252696572658252.837918-1.49850.1408280.070414
M4-4.245073850840222.833833-1.4980.1409650.070483
M5-0.9266791741022012.830867-0.32730.744890.372445
M60.01325941247582512.8283980.00470.996280.49814
M7-0.3575739558661532.826658-0.12650.8998870.449943
M8-0.1997897602721282.825291-0.07070.9439310.471966
M9-1.42046165483812.823724-0.5030.6173330.308666
M10-1.073126466612072.821957-0.38030.705490.352745
M11-1.779328105434032.820984-0.63070.5313270.265664
t-0.01871762429003130.042106-0.44450.6587360.329368


Multiple Linear Regression - Regression Statistics
Multiple R0.839367041031213
R-squared0.704537029569493
Adjusted R-squared0.621036624882611
F-TEST (value)8.43752832350253
F-TEST (DF numerator)13
F-TEST (DF denominator)46
p-value2.34250538966307e-08
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation4.46003782858767
Sum Squared Residuals915.029121891917


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
12322.68297651568070.31702348431929
21921.9476082452007-2.94760824520069
31819.1082187263447-1.10821872634470
41918.56175555339270.438244446607296
51922.5752569664807-3.57525696648068
62221.80114507224870.198854927751297
72318.64552468213674.35447531786325
82017.62462666740082.37537333259924
91416.3852371485448-2.38523714854476
101419.0337838845607-5.03378388456072
111416.8812159001687-2.88121590016875
121517.9280020206728-2.92800202067276
131114.6062970571605-3.60629705716045
141715.65548968828041.34451031171956
151615.31448543166440.68551456833561
162016.19567097999243.80432902000764
172421.81527720452032.18472279547968
182322.91495425696830.0850457430316920
192024.8453324364163-4.84533243641626
202123.8244344216803-2.82443442168027
211924.6372899396642-5.63728993966424
222322.37829419628030.621705803719719
232323.3487077896883-0.348707789688255
242323.1463012790723-0.146301279072288
252321.25224503684001.74775496316004
262722.65834984827994.34165015172006
272619.19436401386396.80563598613606
281718.4694447507519-1.46944475075195
292420.60915721716003.39084278284004
302621.79806231468804.20193768531205
312422.39001981793591.60998018206408
322722.43985834415994.56014165584008
332720.04050423926396.95949576073606
342620.27989375811995.72010624188006
352420.00111472040793.99888527959207
362322.92168978759190.0783102124080875
372319.59998482407963.40001517592039
382418.86461655359965.13538344640037
391715.84677094458361.15322905541638
402116.01413213227164.98586786772839
411919.1353530945596-0.135353094559606
422221.75190691336760.24809308663243
432220.11316328961561.88683671038442
441821.5906505371196-3.59065053711955
451618.2990159814236-2.29901598142359
461419.8768261764796-5.87682617647957
471217.3673460117676-5.3673460117676
481418.6818162675116-4.68181626751161
491617.8584965662393-1.85849656623926
50815.8739356646393-7.8739356646393
51310.5361608835433-7.53616088354334
5207.75899658359138-7.75899658359138
5356.86495551727944-1.86495551727944
5415.73393144272747-4.73393144272747
5514.00595977389549-3.00595977389549
5633.52043002963949-0.520430029639488
5762.637952691103483.36204730889652
5872.431201984559494.56879801544051
5983.401615577967464.59838442203254
60146.322190645151447.67780935484856


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
170.07984212074451190.1596842414890240.920157879255488
180.0999589303958330.1999178607916660.900041069604167
190.2612492542517960.5224985085035930.738750745748204
200.1726040740434670.3452081480869350.827395925956533
210.1504445913733050.300889182746610.849555408626695
220.2152582351472740.4305164702945480.784741764852726
230.2046170218965140.4092340437930270.795382978103486
240.2145099506661250.4290199013322510.785490049333875
250.2055255110357270.4110510220714540.794474488964273
260.1770513104246450.3541026208492910.822948689575354
270.1668534114111750.3337068228223500.833146588588825
280.2241431077944570.4482862155889140.775856892205543
290.1636659090165530.3273318180331050.836334090983447
300.1106033298357500.2212066596715000.88939667016425
310.07446947022737130.1489389404547430.925530529772629
320.04958318241185340.09916636482370670.950416817588147
330.0662961779209310.1325923558418620.933703822079069
340.04854316248955580.09708632497911160.951456837510444
350.02898640486155840.05797280972311680.971013595138442
360.0316216883804180.0632433767608360.968378311619582
370.02538433368061000.05076866736121990.97461566631939
380.01343528807923630.02687057615847250.986564711920764
390.01126525477027240.02253050954054480.988734745229728
400.03118874729866020.06237749459732040.96881125270134
410.05927247647570490.118544952951410.940727523524295
420.1419904298277410.2839808596554810.85800957017226
430.6905359842043430.6189280315913140.309464015795657


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level20.0740740740740741NOK
10% type I error level80.296296296296296NOK