Multiple Linear Regression - Estimated Regression Equation
nwwmb[t] = + 18592.6614036799 + 5070.20661526654dummy_variable[t] + 1.09315352748084`y[t-1]`[t] -0.141678933809927`y[t-4] `[t] -1113.51362844413M1[t] -4788.11504224625M2[t] -8151.06975649466M3[t] -5304.29940467738M4[t] -9150.79794834342M5[t] -5800.60338064344M6[t] + 17130.3065854846M7[t] -3934.41364080719M8[t] -8074.2150653462M9[t] -13077.5188296226M10[t] -8827.75850794206M11[t] -95.0676676861505t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)18592.661403679912851.1432471.44680.1557530.077876
dummy_variable5070.206615266542020.7576692.50910.0162580.008129
`y[t-1]`1.093153527480840.07658914.27300
`y[t-4] `-0.1416789338099270.091655-1.54580.1300320.065016
M1-1113.513628444132361.601036-0.47150.639840.31992
M2-4788.115042246252525.289385-1.89610.0651910.032596
M3-8151.069756494662721.215839-2.99540.0046880.002344
M4-5304.299404677382510.866985-2.11250.0409310.020466
M5-9150.797948343422418.510059-3.78370.0005070.000254
M6-5800.603380643442358.64987-2.45930.0183420.009171
M717130.30658548462373.8946367.216100
M8-3934.413640807193023.927286-1.30110.2006710.100336
M9-8074.21506534623649.0272-2.21270.0326890.016344
M10-13077.51882962263826.149902-3.41790.0014630.000731
M11-8827.758507942062525.452699-3.49550.0011730.000586
t-95.067667686150554.948861-1.73010.091320.04566


Multiple Linear Regression - Regression Statistics
Multiple R0.986524164699137
R-squared0.97322992753533
Adjusted R-squared0.963191150361078
F-TEST (value)96.9470594517807
F-TEST (DF numerator)15
F-TEST (DF denominator)40
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation3478.32596296376
Sum Squared Residuals483950060.185111


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1277128280582.376909595-3454.37690959532
2277103276456.773006343646.226993656633
3275037273871.7914105841165.20858941606
4270150274191.057176221-4041.057176221
5267140265018.7509969782121.24900302167
6264993264987.027752625.97224737992656
7287259285768.5781048121490.42189518815
8291186289641.3316032521544.66839674845
9292300290125.7300042122174.26999578847
10288186286549.3162727531636.68372724742
11281477283052.152174479-1575.15217447895
12282656283894.502825794-1238.50282579428
13280190283816.919206300-3626.91920629965
14280408277934.4006597382473.59934026233
15276836275665.2097137251170.79028627528
16275216274345.128534732870.871465267632
17274352268982.0338596375369.96614036351
18271311271261.79010433649.2098956636920
19289802291279.429677278-1477.42967727796
20290726290562.663532720163.336467279566
21292300287460.2788986994839.72110130066
22278506284513.376756708-6007.37675670765
23269826270969.324487552-1143.32448755191
24265861270082.531374434-4221.53137443373
25269034264316.5937000254717.40629997492
26264176265969.819974208-1793.81997420765
27255198258431.030901241-3233.03090124131
28253353251930.1581882061422.84181179422
29246057245522.176461673534.823538327469
30235372241489.931485635-6117.93148563475
31258556253917.4218106894638.57818931071
32260993258362.7029307072630.29706929339
33254663257825.538486029-3162.53848602947
34250643247321.3446328723321.65536712773
35243422243796.875704944-374.875704944312
36247105244290.6333615662814.36663843374
37248541248004.964158165536.03584183524
38245039246374.612856055-1335.61285605488
39237080240111.430401924-3031.43040192388
40237085233640.9206476133444.07935238698
41225554229501.369254947-3947.36925494718
42226839225717.7090710481121.29092895169
43247934251085.876286496-3151.87628649625
44248333252985.453660058-4652.45366005771
45246969250820.452611060-3851.45261105966
46245098244048.9623376681049.03766233249
47246263243169.6476330253093.35236697518
48255765253119.3324382062645.66756179425
49264319262491.1460259151827.85397408481
50268347268337.3935036569.6064963435664
51273046269117.5375725263928.46242747385
52273963275659.735453228-1696.73545322784
53267430271508.669426765-4078.66942676547
54271993267051.5415863614941.45841363944
55292710294209.694120725-1499.69412072466
56295881295566.848273264314.151726736299


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
190.1353434327942270.2706868655884530.864656567205773
200.1109759224115380.2219518448230750.889024077588462
210.08251550236924010.1650310047384800.91748449763076
220.3866270571806750.773254114361350.613372942819325
230.2632818629751120.5265637259502230.736718137024888
240.2353628276710220.4707256553420440.764637172328978
250.375795051566720.751590103133440.62420494843328
260.2949754285423610.5899508570847220.705024571457639
270.2453513825697730.4907027651395470.754648617430226
280.2451863723325410.4903727446650820.754813627667459
290.2263058563520480.4526117127040970.773694143647952
300.4619594177573680.9239188355147360.538040582242632
310.6704964323934790.6590071352130420.329503567606521
320.7734094892226590.4531810215546820.226590510777341
330.7161659927854550.5676680144290910.283834007214545
340.8087947499832910.3824105000334180.191205250016709
350.6945224034019370.6109551931961260.305477596598063
360.6604566134466260.6790867731067470.339543386553374
370.6109240573515350.7781518852969290.389075942648465


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 level00OK