Multiple Linear Regression - Estimated Regression Equation
Y[t] = -756.55708054948 + 1.71314936407085X[t] + 0.328377699504215Y1[t] + 0.349916989632899Y2[t] + 0.275562658816889Y3[t] + 0.0704857662751447Y4[t] -152.180602693103M1[t] -237.954081757073M2[t] -1680.21865522304M3[t] -250.234553382229M4[t] + 250.420449060493M5[t] + 67.6731551900197M6[t] -455.587954730776M7[t] -1296.75786254305M8[t] -644.917005983765M9[t] -13.7638107680781M10[t] + 242.583873025313M11[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-756.55708054948641.622659-1.17910.2444090.122205
X1.713149364070851.117061.53360.1319720.065986
Y10.3283776995042150.1498092.1920.033480.01674
Y20.3499169896328990.1590752.19970.0328920.016446
Y30.2755626588168890.1650841.66920.1018640.050932
Y40.07048576627514470.1615810.43620.6647140.332357
M1-152.180602693103193.935323-0.78470.4366530.218327
M2-237.954081757073216.517759-1.0990.2774850.138742
M3-1680.21865522304239.643717-7.011300
M4-250.234553382229382.435382-0.65430.5161650.258082
M5250.420449060493368.203750.68010.4998410.249921
M667.6731551900197306.6984310.22070.8263410.413171
M7-455.587954730776228.600306-1.99290.0522190.02611
M8-1296.75786254305253.985082-5.10566e-063e-06
M9-644.917005983765345.080017-1.86890.0680130.034006
M10-13.7638107680781326.709643-0.04210.9665790.483289
M11242.583873025313258.9188470.93690.3536980.176849


Multiple Linear Regression - Regression Statistics
Multiple R0.929890278855997
R-squared0.864695930710883
Adjusted R-squared0.817633645740756
F-TEST (value)18.3734370581399
F-TEST (DF numerator)16
F-TEST (DF denominator)46
p-value7.99360577730113e-15
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation306.863173387526
Sum Squared Residuals4331590.33034728


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
141324436.39142849006-304.391428490064
246854416.68948713523268.310512864772
331723127.3122663010644.6877336989395
442804175.74184051477104.258159485235
542074641.67541648606-434.675416486061
641584441.29060229709-283.290602297092
739334045.949967263-112.949967263002
831513173.44444887357-22.4444488735674
936163464.26199307676151.738006923243
1042213905.59403315955315.405966840447
1144364283.40658190522152.593418094777
1248074377.29581711913429.704182880869
1348494611.3878874309237.6121125691
1450244774.54163387015249.458366129852
1535213610.91162448391-89.9116244839095
1646504660.00856302659-10.0085630265941
1753935054.94747090377338.052529096232
1851475081.995032131765.0049678682973
1948454913.98792733363-68.9879273336342
2039954175.31615917512-180.316159175124
2144934420.0909531038872.9090468961155
2246804811.64793192611-131.647931926107
2354635031.01445131381431.985548686187
2447615178.02320063416-417.023200634164
2553075154.22543521137152.774564788628
2650695231.05085350148-162.050853501484
2735013843.95045250839-342.950452508393
2849524787.01317796726164.986822032744
2951525178.09680204959-26.0968020495929
3053175065.07595898867251.924041011334
3151894917.61101782696271.388982173035
3240304234.11410211956-204.114102119556
3344204526.99341969654-106.993419696543
3445714836.46046547233-265.460465472330
3545514921.33796900649-370.337969006492
3648194740.5215450669378.4784549330691
3751334712.74999591589420.250004084106
3845324808.43917288022-276.439172880223
3933393447.07097838235-108.070978382348
4043804397.5487278162-17.5487278162044
4146324639.71088409858-7.71088409858154
4247194507.17291875005211.827081249955
4342124274.30741954654-62.3074195465354
4436153446.76286635425168.237133645747
4534203772.03013507626-352.030135076260
4645713981.25288544692589.747114553079
4744074321.38505711585.6149428849957
4843864326.747527410759.2524725893004
4943864377.736365957318.26363404268934
5047444335.96981532441408.030184675591
5131853079.57544498022105.424555019781
5238904131.68769067518-241.68769067518
5345204389.569426462130.430573538004
5439904235.46548783249-245.465487832494
5538093836.14366802986-27.1436680298636
5632362997.3624234775238.63757652250
5735513316.62349904656234.376500953444
5832643772.04468399509-508.044683995089
5935793878.85594065947-299.855940659468
6035373687.41190976907-150.411909769073
6130383552.50888699446-514.508886994459
6228883375.30903728851-487.309037288508
6321981807.17923334407390.82076665593


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
200.3025712864211910.6051425728423820.697428713578809
210.3325973265462210.6651946530924430.667402673453779
220.3535140830377990.7070281660755980.646485916962201
230.37961564277150.7592312855430.6203843572285
240.5765423833569920.8469152332860150.423457616643008
250.4823224109906540.9646448219813090.517677589009346
260.3942714524888390.7885429049776790.605728547511161
270.4620249267651650.924049853530330.537975073234835
280.4062463833632350.8124927667264710.593753616636765
290.3073852561958190.6147705123916380.692614743804181
300.3714631524217600.7429263048435190.62853684757824
310.5069605444105390.9860789111789210.493039455589461
320.4087453434872970.8174906869745950.591254656512703
330.3475214210049710.6950428420099420.652478578995029
340.2974173786864920.5948347573729850.702582621313508
350.3300621779904360.6601243559808720.669937822009564
360.2646575010604880.5293150021209750.735342498939512
370.3630800269658380.7261600539316760.636919973034162
380.2848427803355990.5696855606711970.715157219664401
390.2381156644099240.4762313288198480.761884335590076
400.1536959064200900.3073918128401790.84630409357991
410.09002804168882880.1800560833776580.909971958311171
420.3331007294571370.6662014589142750.666899270542863
430.5713161138261000.8573677723477990.428683886173899


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