Multiple Linear Regression - Estimated Regression Equation
X5[t] = + 0.822382366636281 -4.4504311416862e-06Y[t] + 0.0105913466602133X1[t] -0.221866252035594X2[t] + 0.0667948630590553X3[t] -2.92105665097489e-05X4[t] + 1.04519097864273X6[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)0.8223823666362811.4791060.5560.5812330.290616
Y-4.4504311416862e-069e-06-0.49540.6229630.311481
X10.01059134666021330.027590.38390.7030440.351522
X2-0.2218662520355940.104961-2.11380.0406610.020331
X30.06679486305905530.0301182.21780.0321690.016085
X4-2.92105665097489e-052.5e-05-1.15520.2547090.127354
X61.045190978642730.02635939.652100


Multiple Linear Regression - Regression Statistics
Multiple R0.998071940196716
R-squared0.996147597808037
Adjusted R-squared0.995583831633603
F-TEST (value)1766.95169554782
F-TEST (DF numerator)6
F-TEST (DF denominator)41
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.72631923434946
Sum Squared Residuals304.745479270938


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1144148.615984681125-4.61598468112516
2103104.653516001451-1.65351600145106
39898.4539771404292-0.45397714042923
4135136.401379701215-1.40137970121476
56160.909524640710.090475359290019
63937.21097432708511.7890256729149
7150147.9459462170152.05405378298484
852.720996865811082.27900313418892
92829.4441995423157-1.44419954231565
108485.4603581204667-1.46035812046672
118080.1644510501631-0.16445105016307
12130131.183231068445-1.18323106844525
138280.51585689934191.48414310065807
146061.0747538338747-1.07475383387467
15131134.749902286143-3.74990228614276
168484.0432852064716-0.0432852064716211
17140138.0016052524181.9983947475817
18151154.769803982302-3.7698039823015
199190.59676374219030.403236257809663
20138135.4480189807712.55198101922894
21150140.8935314460899.1064685539106
22124127.47274169288-3.47274169287999
23119122.051601471166-3.05160147116553
247371.97951301649961.02048698350044
25110111.86442976006-1.86442976006048
26123124.178377658782-1.17837765878167
279092.160824389705-2.16082438970496
28116114.646415359091.35358464090963
29113112.3913733930080.608626606991689
305654.08079161502481.91920838497518
31115115.760345864202-0.760345864202308
32119119.808917487989-0.808917487989119
33129125.7579391959933.24206080400651
34127129.898102433784-2.89810243378403
352727.8943533576387-0.894353357638746
36175167.9625607257497.03743927425124
373533.05209464712371.94790535287628
386464.921973178507-0.921973178507033
399694.53781185013471.46218814986532
4000.748879436620154-0.748879436620154
418484.2958270405348-0.295827040534832
424142.0085542408478-1.00855424084778
434748.056213615713-1.05621361571298
44126124.5669052415731.43309475842658
45105107.99815339001-2.99815339001022
468080.1326478753214-0.132647875321407
477068.11870057196731.88129942803268
487371.39589050424051.6041094957595


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
100.2252393986313720.4504787972627430.774760601368628
110.1169341732291760.2338683464583530.883065826770824
120.05302719067538770.1060543813507750.946972809324612
130.0430924319589870.08618486391797410.956907568041013
140.03228572470618320.06457144941236630.967714275293817
150.05642186757078250.1128437351415650.943578132429218
160.02824428692520960.05648857385041910.97175571307479
170.0160364799720450.03207295994409010.983963520027955
180.02084084587861520.04168169175723030.979159154121385
190.01391957762820650.02783915525641310.986080422371793
200.09442442393317960.1888488478663590.90557557606682
210.8783930328237720.2432139343524560.121606967176228
220.9186073700895180.1627852598209650.0813926299104823
230.9871582072954580.02568358540908340.0128417927045417
240.9769784212036810.04604315759263740.0230215787963187
250.9717392170807430.05652156583851430.0282607829192571
260.9652259443816530.06954811123669450.0347740556183473
270.9711320777331050.05773584453378910.0288679222668946
280.9541193799942730.0917612400114540.045880620005727
290.9386726318541010.1226547362917980.061327368145899
300.9495842931351220.1008314137297570.0504157068648784
310.927765666893460.1444686662130810.0722343331065405
320.9496598184478750.100680363104250.0503401815521249
330.9671671834543040.06566563309139120.0328328165456956
340.9655221638847480.06895567223050420.0344778361152521
350.9338196860892020.1323606278215950.0661803139107976
360.9781461128406110.04370777431877760.0218538871593888
370.9848338605347610.03033227893047740.0151661394652387
380.9459459786331630.1081080427336740.054054021366837


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level70.241379310344828NOK
10% type I error level160.551724137931034NOK