Multiple Linear Regression - Estimated Regression Equation
X[t] = + 25.7267919840376 -0.00823946509526631Y[t] + 1.23002986579692Y1[t] -0.467759327195805Y2[t] + 0.0460425932424228t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)25.72679198403764.2553046.045800
Y-0.008239465095266310.002317-3.55680.0008320.000416
Y11.230029865796920.1574147.81400
Y2-0.4677593271958050.163279-2.86480.0060870.003043
t0.04604259324242280.00437610.520600


Multiple Linear Regression - Regression Statistics
Multiple R0.996714490043566
R-squared0.993439774662806
Adjusted R-squared0.99291495663583
F-TEST (value)1892.9223532734
F-TEST (DF numerator)4
F-TEST (DF denominator)50
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.0992785185599964
Sum Squared Residuals0.492811212373378


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1104.17104.275639259676-0.105639259676094
2104.18104.328551832149-0.148551832148692
3104.2104.376216629256-0.176216629256249
4104.5104.4493905583280.0506094416718705
5104.78104.6663144245330.11368557546681
6104.88104.8647142159880.0152857840116471
7104.89104.912662220941-0.0226622209412982
8104.9104.929198548333-0.0291985483331952
9104.95104.963148029718-0.0131480297179208
10105.24105.0263168027060.213683197294379
11105.35105.3174568344590.0325431655409587
12105.44105.3874490090610.0525509909394802
13105.46105.463695449599-0.00369544959942088
14105.47105.490326321906-0.0203263219058953
15105.48105.541844765776-0.0618447657758781
16105.75105.5960679251290.153932074871353
17106.1105.8563664614140.243633538586029
18106.19106.228948112561-0.0389481125614406
19106.23106.2178578966590.0121421033406027
20106.24106.251169729873-0.0111697298725329
21106.25106.2466341219410.00336587805922372
22106.35106.2704890584110.0795109415890903
23106.48106.4549235361290.025076463871186
24106.52106.649288183175-0.129288183175192
25106.55106.653536533278-0.103536533277762
26106.55106.708499051001-0.15849905100119
27106.56106.736946992604-0.176946992604427
28106.89106.7698064416940.120193558305575
29107.09107.0238945696730.0661054303269172
30107.24107.2233635049610.0166364950394013
31107.28107.353357567648-0.0733575676481975
32107.3107.2933380900080.00666190999230533
33107.31107.2775590058820.0324409941183069
34107.47107.2923505307470.177649469252969
35107.35107.457128090206-0.107128090206176
36107.31107.318323050332-0.00832305033209918
37107.32107.356608018158-0.0366080181584469
38107.32107.402701989709-0.0827019897087135
39107.34107.447096689932-0.107096689932073
40107.53107.4865477110980.0434522889017152
41107.72107.6431751942930.076824805707429
42107.75107.7302812272710.0197187727293465
43107.79107.7386112993980.051388700601715
44107.81107.7473407037720.0626592962277002
45107.9107.7762030189760.123796981023928
46107.8107.869330441937-0.0693304419374058
47107.86107.69165162830.168348371699751
48107.8107.840460506387-0.0404605063874901
49107.74107.773530958288-0.0335309582883204
50107.75107.819087957577-0.0690879575766127
51107.83107.836052026354-0.00605202635432783
52107.8107.900044745852-0.100044745851548
53107.81107.865609386931-0.055609386931089
54107.86107.7783140520480.0816859479520487
55107.83107.884579087962-0.0545790879620511


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
80.2984298582985080.5968597165970150.701570141701492
90.2199854277848690.4399708555697380.780014572215131
100.1991852901550820.3983705803101650.800814709844918
110.3966517146776780.7933034293553550.603348285322322
120.3026605597618170.6053211195236350.697339440238183
130.2142646231066710.4285292462133420.785735376893329
140.1657172164323830.3314344328647650.834282783567618
150.3105588002166520.6211176004333050.689441199783348
160.234887939154420.469775878308840.76511206084558
170.2997816126722980.5995632253445960.700218387327702
180.2597343003481090.5194686006962190.740265699651891
190.4651470297298990.9302940594597980.534852970270101
200.4268899653578670.8537799307157350.573110034642133
210.3563780670024970.7127561340049950.643621932997503
220.3053059486724380.6106118973448760.694694051327562
230.2752778232884120.5505556465768240.724722176711588
240.3741362478821520.7482724957643040.625863752117848
250.3690494595947230.7380989191894450.630950540405277
260.5353384259126860.9293231481746290.464661574087314
270.8240450028214660.3519099943570670.175954997178534
280.8156847833863590.3686304332272830.184315216613641
290.8099917598387030.3800164803225940.190008240161297
300.8295663467813120.3408673064373760.170433653218688
310.7777203636633190.4445592726733620.222279636336681
320.778675961644270.4426480767114610.22132403835573
330.7348457723681490.5303084552637030.265154227631851
340.8205496782070080.3589006435859850.179450321792992
350.8819558216161070.2360883567677860.118044178383893
360.8560906105745060.2878187788509880.143909389425494
370.8527491435265370.2945017129469260.147250856473463
380.897646077146410.2047078457071810.10235392285359
390.9925876348484580.01482473030308450.00741236515154226
400.9996514336171080.0006971327657845260.000348566382892263
410.999199145577710.001601708844579770.000800854422289883
420.998351620100410.003296759799180610.00164837989959031
430.9951248870626920.009750225874616780.00487511293730839
440.99257434936090.01485130127820070.00742565063910034
450.9926238853383470.01475222932330670.00737611466165335
460.9821128483443950.03577430331121070.0178871516556053
470.9450219150796310.1099561698407380.0549780849203692


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level40.1NOK
5% type I error level80.2NOK
10% type I error level80.2NOK