Multiple Linear Regression - Estimated Regression Equation
Y[t] = -0.882021848595453 -0.00452130769895071X[t] + 1.28776785397041Y1[t] -0.416249054274984Y2[t] -0.111638282342769Y3[t] + 0.271637226912727Y4[t] -0.0188616710391742Y5[t] + 0.0035299223429012t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-0.8820218485954534.04946-0.21780.8285180.414259
X-0.004521307698950710.001859-2.43210.0188760.009438
Y11.287767853970410.1384869.298900
Y2-0.4162490542749840.229841-1.8110.076530.038265
Y3-0.1116382823427690.243676-0.45810.6489610.32448
Y40.2716372269127270.2361051.15050.2557610.12788
Y5-0.01886167103917420.149062-0.12650.8998470.449924
t0.00352992234290120.0039910.88450.380950.190475


Multiple Linear Regression - Regression Statistics
Multiple R0.996238049982534
R-squared0.992490252233001
Adjusted R-squared0.99137177916132
F-TEST (value)887.361776838902
F-TEST (DF numerator)7
F-TEST (DF denominator)47
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.07894860758537
Sum Squared Residuals0.292945484064431


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1103.91103.923694876667-0.0136948766666860
2103.91103.924789755446-0.0147897554456499
3103.92103.941645341270-0.0216453412702114
4104.05103.9906474586870.0593525413132544
5104.23104.1720895291240.0579104708758845
6104.3104.347101747472-0.0471017474724066
7104.31104.354053985388-0.0440539853882922
8104.31104.351380045969-0.0413800459693747
9104.34104.385306304686-0.0453063046856742
10104.55104.4311212464440.118878753556377
11104.65104.694443132558-0.0444431325583265
12104.73104.73534764295-0.0053476429499675
13104.75104.773223765681-0.0232237656811312
14104.75104.810906213889-0.0609062138884949
15104.76104.828521218190-0.0685212181896317
16104.94104.8602802106250.0797197893749793
17105.29105.0940132746850.195986725314739
18105.38105.460992361427-0.0809923614266413
19105.43105.4150950492290.0149049507714379
20105.43105.437550534673-0.00755053467327394
21105.42105.486978172117-0.0669781721174468
22105.52105.4844686981230.0355313018768063
23105.69105.6386999073670.051300092633371
24105.72105.812012535640-0.0920125356402588
25105.74105.769985084642-0.02998508464202
26105.74105.794252462300-0.0542524622996764
27105.74105.825879108859-0.0858791088590926
28105.95105.8248848059680.125115194032468
29106.17106.0761328950880.0938671049122893
30106.34106.2647832027780.0752167972220204
31106.37106.3600072982760.00999270172379286
32106.37106.3290772432660.0409227567341805
33106.36106.3307168403310.0292831596691363
34106.44106.3496496889030.090350311097268
35106.29106.473896647465-0.183896647464736
36106.23106.271857884708-0.0418578847076219
37106.23106.246651005248-0.0166510052475141
38106.23106.298448761885-0.0684487618853065
39106.23106.265518201909-0.0355182019089434
40106.34106.2519620951340.0880379048662037
41106.44106.3847142585790.0552857414210537
42106.44106.454504731863-0.0145047318625162
43106.48106.4091029761890.0708970238109437
44106.5106.4353861485780.064613851422073
45106.57106.4604507431490.109549256850864
46106.4106.523171028071-0.123171028070596
47106.37106.2972225818070.0727774181933546
48106.25106.362750951892-0.112750951892213
49106.21106.273155353096-0.0631553530956664
50106.21106.226905773786-0.0169057737860680
51106.24106.2293160347960.0106839652035338
52106.19106.233514899246-0.0435148992462501
53106.08106.148854084091-0.0688540840912035
54106.13106.0171919135650.112808086434877
55106.09106.115692286228-0.0256922862280168


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
110.0712659508708450.142531901741690.928734049129155
120.02188948580322150.04377897160644310.978110514196779
130.008146702633663010.01629340526732600.991853297366337
140.004933087346571630.009866174693143270.995066912653428
150.002166677968401620.004333355936803230.997833322031598
160.0006359126312422970.001271825262484590.999364087368758
170.1066322338161740.2132644676323490.893367766183826
180.09383319155733140.1876663831146630.906166808442669
190.2384143541982040.4768287083964090.761585645801796
200.1979306141627670.3958612283255340.802069385837233
210.160205197927140.320410395854280.83979480207286
220.1501414248717280.3002828497434560.849858575128272
230.1081637035510910.2163274071021820.891836296448909
240.167181947389080.334363894778160.83281805261092
250.1517987722854620.3035975445709240.848201227714538
260.1737674082817900.3475348165635800.82623259171821
270.3392357502991630.6784715005983270.660764249700837
280.2942318666309030.5884637332618060.705768133369097
290.2386372800982020.4772745601964030.761362719901798
300.2002142962650970.4004285925301950.799785703734903
310.1474724255028570.2949448510057150.852527574497143
320.1330162569708950.2660325139417910.866983743029105
330.1244495980435780.2488991960871570.875550401956422
340.09205296964975020.1841059392995000.90794703035025
350.5563518781808090.8872962436383820.443648121819191
360.6270494475853810.7459011048292380.372950552414619
370.5922743211040150.815451357791970.407725678895985
380.6481576408118140.7036847183763710.351842359188186
390.6864296927557430.6271406144885140.313570307244257
400.6961571432462080.6076857135075830.303842856753792
410.648754313294390.7024913734112190.351245686705610
420.8513944709047420.2972110581905160.148605529095258
430.7558498711469040.4883002577061910.244150128853096
440.9557873353160.08842532936800120.0442126646840006


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level30.088235294117647NOK
5% type I error level50.147058823529412NOK
10% type I error level60.176470588235294NOK