Multiple Linear Regression - Estimated Regression Equation
Y[t] = + 0.29971047287334 -0.663822504572186X[t] + 1.08044916584715Y1[t] -0.0879835056614519Y2[t] -0.188245761093748Y3[t] + 0.0560742837520075Y4[t] + 0.00722853285851178t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)0.299710472873340.0725994.12830.0001427.1e-05
X-0.6638225045721860.155341-4.27338.8e-054.4e-05
Y11.080449165847150.1765896.118400
Y2-0.08798350566145190.238677-0.36860.7139910.356996
Y3-0.1882457610937480.242498-0.77630.4413160.220658
Y40.05607428375200750.1359410.41250.6817790.34089
t0.007228532858511780.0023563.06880.0034980.001749


Multiple Linear Regression - Regression Statistics
Multiple R0.995432595103778
R-squared0.990886051395043
Adjusted R-squared0.989770057688313
F-TEST (value)887.895734017145
F-TEST (DF numerator)6
F-TEST (DF denominator)49
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.117666128724429
Sum Squared Residuals0.678420574600706


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
12.062.09879018211876-0.0387901821187631
22.062.08817857125920-0.028178571259196
32.082.08927643004804-0.00927643004804446
42.072.12356108995793-0.0535610899579341
52.062.11710397536970-0.0571039753697043
62.072.11064293640448-0.0406429364044849
72.062.13255973926406-0.0725597392640597
82.092.12942566018090-0.0394256601809034
92.072.16750430262299-0.0975043026229865
102.092.15292754744317-0.0629275474431691
112.282.177316618061520.102683381938479
122.332.39351796605220-0.0635179660521976
132.352.43316569023048-0.0831656902304765
142.522.422958822190090.0970411778099131
152.632.613345868987580.0166541310124201
162.582.72350541309256-0.143505413092557
172.72.636153008325050.0638469916749454
182.812.766260210885830.0437397891141733
192.972.897360590575560.0726394094244408
203.043.04238959882801-0.00238959882800619
213.283.097194092719910.182805907280085
223.333.33362042942316-0.00362042942316313
233.53.369550061339040.130449938660957
243.563.514801994308640.0451980056913601
253.573.57594582120133-0.00594582120132879
263.693.559501770180290.130498229819712
273.823.693742250456060.126257749543940
283.793.83235315360951-0.0423531536095107
293.963.773701607262890.186298392737110
304.063.949502968593320.110497031406685
314.054.06275625179467-0.0127562517946685
324.034.016697934530070.0133020654699339
333.943.99390537125672-0.0539053712567166
344.023.913143035288350.106856964711648
353.884.01793018930852-0.137930189308521
364.023.882677791318910.137322208681087
374.034.03338055176345-0.00338055176344775
384.094.069936234741110.0200637652588859
393.994.10690707621543-0.116907076215434
404.014.006779624263890.00322037573611233
414.014.03368148817738-0.0236814881773826
424.194.061339384057160.12866061594284
434.34.253676423171090.0463235768289148
444.274.36503881892876-0.0950388189287623
453.824.29629145419222-0.476291454192224
463.153.145521200372220.00447879962777656
472.492.480256913706330.00974308629367192
481.811.91636630987852-0.106366309878517
491.261.34784975594193-0.0878497559419297
501.060.9073324636423220.152667536357678
510.840.8378601817126250.00213981828737486
520.780.6903912548672490.089608745132751
530.70.6589575051755970.0410424948244032
540.360.615228325796246-0.255228325796246
550.350.2611012259598240.0888987740401757
560.360.2991348629471380.0608651370528618


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
100.002594816488991200.005189632977982390.99740518351101
110.08676100247306110.1735220049461220.913238997526939
120.03991062179788150.0798212435957630.960089378202118
130.02985788336090490.05971576672180980.970142116639095
140.01373999872310310.02747999744620610.986260001276897
150.005505036489498690.01101007297899740.994494963510501
160.005310618061588740.01062123612317750.994689381938411
170.002214134246923450.00442826849384690.997785865753076
180.0008949171853955840.001789834370791170.999105082814604
190.005321020223379690.01064204044675940.99467897977662
200.003236527290144840.006473054580289690.996763472709855
210.004850792291636220.009701584583272440.995149207708364
220.004494691335163930.008989382670327870.995505308664836
230.002159938355439890.004319876710879770.99784006164456
240.002103455501518140.004206911003036270.997896544498482
250.00392398617057770.00784797234115540.996076013829422
260.001961696969790570.003923393939581140.99803830303021
270.0009436964420178710.001887392884035740.999056303557982
280.001371769501018150.002743539002036290.998628230498982
290.0007650508829746640.001530101765949330.999234949117025
300.0003619725031395350.000723945006279070.99963802749686
310.0002352116288963790.0004704232577927590.999764788371104
320.0004729158442830510.0009458316885661020.999527084155717
330.001191841726260760.002383683452521510.998808158273739
340.0006377314882032030.001275462976406410.999362268511797
350.002227629916294380.004455259832588770.997772370083706
360.001696447468462050.00339289493692410.998303552531538
370.0009941623156175260.001988324631235050.999005837684382
380.0004646251124795990.0009292502249591990.99953537488752
390.003338316347343980.006676632694687950.996661683652656
400.002730479195581760.005460958391163530.997269520804418
410.01485740880471330.02971481760942660.985142591195287
420.01242312409851200.02484624819702410.987576875901488
430.006105745882432380.01221149176486480.993894254117568
440.04665593931826930.09331187863653850.95334406068173
450.1893034194171530.3786068388343070.810696580582847
460.2306910548313660.4613821096627320.769308945168634


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level240.648648648648649NOK
5% type I error level310.837837837837838NOK
10% type I error level340.918918918918919NOK