Multiple Linear Regression - Estimated Regression Equation
Y[t] = + 9690.06414062205 + 8887.14053601723X[t] + 0.928450603723507Y1[t] + 0.00697821046662423Y2[t] -293.055756716993M1[t] -3225.60445747154M2[t] -6294.3963344095M3[t] -4703.55564690838M4[t] -9394.0620252704M5[t] -6208.55988822182M6[t] + 16596.0512996447M7[t] -1103.97720103963M8[t] -5033.72634393642M9[t] -7293.7916697285M10[t] -7370.59193338102M11[t] + 248.332473555430t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)9690.0641406220510137.937280.95580.3447640.172382
X8887.140536017232265.8322363.92220.0003270.000164
Y10.9284506037235070.1481146.268500
Y20.006978210466624230.1486560.04690.9627870.481394
M1-293.0557567169932607.516637-0.11240.9110640.455532
M2-3225.604457471542570.643895-1.25480.2166630.108331
M3-6294.39633440952420.166044-2.60080.0128770.006438
M4-4703.555646908382348.260993-2.0030.0518190.02591
M5-9394.06202527042394.298419-3.92350.0003260.000163
M6-6208.559888221822375.438718-2.61360.012470.006235
M716596.05129964472418.6890146.861600
M8-1103.977201039634390.783027-0.25140.8027370.401369
M9-5033.726343936422547.754411-1.97580.0549390.02747
M10-7293.79166972852573.647354-2.8340.0071010.003551
M11-7370.591933381022469.135564-2.98510.0047630.002382
t248.33247355543062.8609023.95053e-040.00015


Multiple Linear Regression - Regression Statistics
Multiple R0.98676705339317
R-squared0.97370921766224
Adjusted R-squared0.964090638758182
F-TEST (value)101.232128714086
F-TEST (DF numerator)15
F-TEST (DF denominator)41
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation3476.52994540491
Sum Squared Residuals495536678.91318


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1277051278421.583027982-1370.58302798227
2277026275015.2454181062010.75458189406
3274960272166.0828979932793.91710200691
4270073272086.902656495-2013.90265649525
5267063263092.9736684683970.02633153218
6264916263698.0694473141217.93055268632
7287182284736.6252490372445.37475096334
8291109287942.8281465443166.17185345640
9292223288062.8138322744160.18616772568
10288109287112.778385088996.221614911926
11281400283472.438537732-2072.43853773232
12282579284833.679486428-2254.67948642805
13280113285836.782651036-5723.78265103592
14280331280871.234545195-540.234545194788
15276759278235.969106413-1476.96910641328
16275139276760.237960851-1621.23796085119
17274275270789.0479102263485.95208977426
18271234273409.396498257-2175.3964982567
19289725293632.892699912-3907.89269991223
20290649293327.956048206-2678.95604820578
21292223290633.4618264431589.53817355670
22278429281202.417554921-2773.41755492139
23269749268577.8858403371171.11415966330
24265784268041.601571776-2257.6015717765
25268957264255.0007780014701.99922199908
26264099264489.089711916-390.089711916333
27255121257180.359137456-2059.35913745561
28253276250650.0026318362625.99736816436
29245980244432.186989591547.81301041018
30235295241079.171197116-5784.1711971162
31258479254160.7071341884318.29286581208
32260916258159.6477249492756.352275051
33254586256902.64800834-2316.64800834005
34250566249030.8287334411535.17126655924
35243345245425.817444121-2080.81744412143
36247028246312.347635495715.652364505387
37248464249636.718268067-1172.71826806723
38244962248311.457856964-3349.45785696365
39237003242249.585149571-5246.58514957147
40237008236674.782262539333.217737461498
41225477232181.711033647-6704.71103364666
42226762224909.6166237671852.38337623276
43247857249075.153566083-1218.15356608320
44248256251218.090024951-2962.09002495136
45246892248054.330496289-1162.33049628913
46245021244778.97532655242.024673450216
47246186243203.8581778102982.14182219046
48255688251891.3713063013796.62869369917
49264242260676.9152749143565.08472508635
50268270266000.9724678192269.02753218071
51272969266980.0037085675988.99629143345
52273886273210.074488279675.925511720576
53267353269652.08039807-2299.08039806996
54271916267026.7462335464889.25376645381
55292633294270.62135078-1637.62135077999
56295804296085.47805535-281.478055350261
57293222295492.745836653-2270.74583665321


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
190.08332540088306280.1666508017661260.916674599116937
200.0348487332411470.0696974664822940.965151266758853
210.01371490348469430.02742980696938860.986285096515306
220.004118160343506690.008236320687013380.995881839656493
230.007242740215815040.01448548043163010.992757259784185
240.01396802170119360.02793604340238720.986031978298806
250.01924456536184580.03848913072369160.980755434638154
260.01754811319902190.03509622639804390.982451886800978
270.04641648044425200.09283296088850390.953583519555748
280.02523525318689230.05047050637378460.974764746813108
290.04774268052302140.09548536104604270.952257319476979
300.1913333852153730.3826667704307460.808666614784627
310.4064934447862950.812986889572590.593506555213705
320.4416111102553080.8832222205106150.558388889744692
330.4953784923651080.9907569847302160.504621507634892
340.6165271677098340.7669456645803330.383472832290166
350.5153263436865950.969347312626810.484673656313405
360.5388523019726270.9222953960547450.461147698027373
370.605569615753710.788860768492580.39443038424629
380.9161089673228270.1677820653543470.0838910326771735


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level10.05NOK
5% type I error level60.3NOK
10% type I error level100.5NOK