Multiple Linear Regression - Estimated Regression Equation
Y[t] = + 0.633709699169343 + 0.208586394090889X[t] + 0.75975279754674`Y(t-1)`[t] -0.035428460457972`Y(t-4)`[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)0.6337096991693431.4053330.45090.6538780.326939
X0.2085863940908890.1540121.35430.1813710.090686
`Y(t-1)`0.759752797546740.1231716.168300
`Y(t-4)`-0.0354284604579720.109207-0.32440.74690.37345


Multiple Linear Regression - Regression Statistics
Multiple R0.898579324435252
R-squared0.807444802302514
Adjusted R-squared0.796545451489449
F-TEST (value)74.0819170013884
F-TEST (DF numerator)3
F-TEST (DF denominator)53
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation3.34001626392747
Sum Squared Residuals591.252558094901


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
11919.3436662778418-0.343666277841756
22219.08906597090102.91093402909904
32320.75713500231742.24286499768262
42021.210297027088-1.21029702708800
51418.9310386344478-4.93103863444777
61414.8085610924297-0.80856109242973
71414.4393944014263-0.439394401426334
81514.37881066752750.621189332472461
91115.0591132760949-4.05911327609487
101712.22868847999884.77131152000121
111617.2669539716883-1.26695397168828
122016.68035910777453.31964089222554
132420.40340876442963.59659123557038
142323.2715664706869-0.271566470686929
152023.0895667582345-3.08956675823447
162120.39743221144420.602567788555793
171921.4952198735681-2.49521987356811
182319.4062421960693.59375780393098
192322.94785291640260.0521470835974146
202322.45353438894470.546465611055345
212322.56610858867880.433891411321222
222722.71641569857414.28358430142586
232625.50512321585200.49487678414797
241724.5785013030326-7.57850130303258
252417.46956381279386.53043618720624
262622.70869547201633.29130452798368
272424.4930745610678-0.493074561067751
282723.27156647068693.72843352931307
292725.03166332780321.96833667219681
302624.93994776747821.06005223252184
312424.3553450878928-0.355345087892805
322323.0007164237436-0.000716423743563926
332321.94894267446961.05105732553042
342421.77578474083672.22421525916334
351722.4603839834357-5.46038398343572
362117.21926013988473.78073986011531
371920.2165540512535-1.21655405125347
382219.05793414447472.94206585552529
392221.29317080859350.706829191406509
401821.4643365578979-3.46433655789794
411618.0164335822179-2.01643358221787
421416.6826635574777-2.68266355747772
431214.7459851742025-2.74598517420246
441413.26390022389540.736099776104575
451615.14628369163210.853716308367904
46816.2360388618234-8.23603886182338
4739.54053830186547-6.54053830186547
4805.02429957153407-5.02429957153407
4951.693828205750723.30617179424928
5015.29627117073916-4.29627117073916
5112.12152269170572-1.12152269170572
5232.081797597216010.918202402783987
5363.507595447655992.49240455234401
5475.803415845673571.19658415432643
5586.9594827919931.04051720800701
56147.919540980941956.08045901905805
571415.2294059838937-1.22940598389366


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
70.4187229333531650.837445866706330.581277066646835
80.2583081430702120.5166162861404240.741691856929788
90.3271208613179720.6542417226359430.672879138682028
100.4291775397778280.8583550795556570.570822460222172
110.3918157988349220.7836315976698440.608184201165078
120.3146313655195660.6292627310391330.685368634480434
130.2417482536773650.4834965073547290.758251746322635
140.1770136460926920.3540272921853840.822986353907308
150.2545547318219630.5091094636439270.745445268178037
160.1817584396719710.3635168793439410.81824156032803
170.1455974330628190.2911948661256370.854402566937181
180.1758079697223880.3516159394447760.824192030277612
190.1223153682677910.2446307365355810.87768463173221
200.08732418187791860.1746483637558370.912675818122081
210.05807942770834860.1161588554166970.941920572291651
220.0923763393940810.1847526787881620.907623660605919
230.06572121027498240.1314424205499650.934278789725018
240.2060418273055190.4120836546110380.79395817269448
250.4121725498127470.8243450996254940.587827450187253
260.447562180613290.895124361226580.55243781938671
270.3702996669643940.7405993339287880.629700333035606
280.4270985514202830.8541971028405670.572901448579717
290.3945338102843220.7890676205686440.605466189715678
300.3305277798094530.6610555596189060.669472220190547
310.2598610304954490.5197220609908980.740138969504551
320.1990512801228520.3981025602457040.800948719877148
330.1520738841659780.3041477683319560.847926115834022
340.1316629671485920.2633259342971830.868337032851408
350.2107165171556430.4214330343112870.789283482844357
360.2437165316242120.4874330632484230.756283468375789
370.1881215780958510.3762431561917030.811878421904149
380.2150257724359940.4300515448719880.784974227564006
390.1808893916481850.3617787832963690.819110608351815
400.1552629191229950.3105258382459900.844737080877005
410.1169210037775380.2338420075550760.883078996222462
420.09679292438520320.1935858487704060.903207075614797
430.07370674062268810.1474134812453760.926293259377312
440.07310114001427060.1462022800285410.92689885998573
450.1351355958440010.2702711916880020.864864404156
460.2109265341237020.4218530682474040.789073465876298
470.2559829788918980.5119659577837950.744017021108102
480.2719717851675150.5439435703350310.728028214832485
490.4563112981851380.9126225963702770.543688701814862
500.6258615626191320.7482768747617370.374138437380868


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