Multiple Linear Regression - Estimated Regression Equation
Y[t] = + 97.741544080691 -0.815049795615903X[t] + 1.87018159774291M1[t] + 4.29996328167822M2[t] + 13.7930268025441M3[t] + 7.1032140785195M4[t] + 6.04071323204974M5[t] + 13.6699054875868M6[t] -9.8692386652739M7[t] -0.254348328168483M8[t] + 14.0461607844849M9[t] + 15.7957292849124M10[t] + 7.6397334180042M11[t] + 0.114302764901383t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)97.7415440806914.79056720.402900
X-0.8150497956159030.576386-1.41410.1610810.080541
M11.870181597742912.0492730.91260.3640920.182046
M24.299963281678222.1127142.03530.0450140.022507
M313.79302680254412.1144856.523100
M47.10321407851952.1227933.34620.0012330.000616
M56.040713232049742.1387282.82440.0059290.002965
M613.66990548758682.1484766.362600
M7-9.86923866527392.108615-4.68041.1e-056e-06
M8-0.2543483281684832.108411-0.12060.9042720.452136
M914.04616078448492.1078666.663700
M1015.79572928491242.1073587.495500
M117.63973341800422.1085953.62315e-040.00025
t0.1143027649013830.0154367.404700


Multiple Linear Regression - Regression Statistics
Multiple R0.897678632759792
R-squared0.80582692771349
Adjusted R-squared0.77541427783729
F-TEST (value)26.4964391788857
F-TEST (DF numerator)13
F-TEST (DF denominator)83
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation4.21420383050917
Sum Squared Residuals1474.03965578149


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
198.894.5912147309544.20878526904587
2100.597.2983091389153.20169086108504
3110.4106.9056754246823.49432457531785
496.4100.167155506436-3.76715550643581
5101.999.21895742486742.68104257513259
6106.2107.206967383991-1.00696738399063
78183.6191160369082-2.61911603690818
894.793.18529917979181.51470082020822
9101107.274091139100-6.27409113910019
10109.4108.5674275474980.83257245250211
11102.3100.5257344454911.77426555450891
1290.792.9187988128267-2.21879881282667
1396.294.9032831754711.29671682452899
1496.197.6103775834309-1.51037758343087
15106107.299248848760-1.29924884875968
16103.1100.8867488487602.21325115124032
17102100.1015607263141.89843927368552
18104.7107.926560726314-3.22656072631448
198683.93118448142412.06881551857592
2092.193.5788726038693-1.47887260386929
21106.9107.830674522301-0.930674522300902
22112.6109.5315358285073.06846417149346
23101.7101.4083377469380.291662253061851
249293.8014021142738-1.80140211427375
2597.495.70438149735651.69561850264354
269798.3299709257547-1.32997092575474
27105.4108.100347170645-2.70034717064514
28102.7101.6063421910841.09365780891645
2998.1100.9026590482-2.80265904819995
30104.5108.646154068638-4.14615406863835
3187.484.6507778237482.74922217625205
3289.994.2984659461931-4.39846594619314
33109.8108.7132778237481.08672217625204
34111.7110.5771490890771.12285091092324
3598.6102.53545598707-3.93545598706998
3696.994.8470153748442.05298462515603
3795.196.5869847988035-1.48698479880352
389799.2125742272018-2.21257422720179
39112.7109.2274654107773.47253458922304
40102.9103.303995288147-0.403995288146497
4197.4102.600312145263-5.20031214526289
42111.4110.1807972065781.21920279342188
4387.485.61488610475661.78511389524341
4496.894.93655430895541.86344569104457
45114.1109.3513661865104.74863381348976
46110.3111.704267329209-1.40426732920859
47103.9104.070099125010-0.170099125009744
48101.696.46316349234535.13683650765465
4994.698.2846378958665-3.68463789586648
5095.9100.747217365142-4.84721736514156
51104.7110.436088630470-5.73608863047037
52102.8104.105093610032-1.30509361003197
5398.1103.238400508025-5.13840050802518
54113.9111.1449054875872.75509451241324
5580.987.1495292426964-6.24952924269637
5695.796.7972173651416-1.09721736514157
57113.2111.2120292426961.98797075730363
58105.9113.238910467148-7.33891046714835
59108.8105.2787223447033.52127765529684
60102.397.67178671203884.62821328796124
619999.49326111556-0.493261115559886
62100.7102.037345564397-1.33734556439657
63115.5111.7262168297253.77378317027462
64100.7105.232211850164-4.53221185016378
65109.9104.4470237277195.45297627228142
66114.6112.4350336868422.16496631315823
6785.488.8471823397593-3.44718233975931
68100.598.65788042132771.84211957867230
69114.8113.0726922988831.72730770111749
70116.5115.0180685437731.48193145622709
71112.9107.0578804213285.8421195786723
7210299.53244976822492.46755023177511
73106101.4354291513084.56457084869239
74105.3103.9795136001441.32048639985570
75118.8113.6683848654735.13161513452689
76106.1107.011369926788-0.911369926788338
77109.3106.3076867839052.99231321609527
78117.2114.4587067021512.74129329784892
7992.590.7893503755071.71064962449295
80104.2100.6815534366373.51844656336298
81112.5115.340880252877-2.84088025287660
82122.4117.2047515182055.19524848179461
83113.3109.1630584161994.13694158380138
84100101.474617803973-1.47461780397262
85110.7103.3775971870557.32240281294466
86112.8106.0846915950156.7153084049848
87109.8115.936572819467-6.1365728194672
88117.3109.6870827785907.61291722140962
89109.1108.9833996357070.116600364293227
90115.9116.400874737899-0.500874737898805
919691.99797359520054.00202640479954
9299.8101.564156738084-1.76415673808407
93116.8116.3049885338850.495011466114762
94115.7118.657889676584-2.95788967658358
9599.4110.860711513262-11.4607115132616
9694.3103.090765921474-8.79076592147399
9791104.423210447626-13.4232104476256


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
170.2231052379312040.4462104758624080.776894762068796
180.133113955705910.266227911411820.86688604429409
190.2408011316246930.4816022632493860.759198868375307
200.1490622275097210.2981244550194430.850937772490279
210.1544531976724340.3089063953448690.845546802327566
220.09440372591901610.1888074518380320.905596274080984
230.06420783444500430.1284156688900090.935792165554996
240.03593396055523400.07186792111046790.964066039444766
250.02021945043805430.04043890087610850.979780549561946
260.01115055546886260.02230111093772510.988849444531137
270.008301570507776170.01660314101555230.991698429492224
280.004986671488964230.009973342977928460.995013328511036
290.00617682308484280.01235364616968560.993823176915157
300.003581864687757650.00716372937551530.996418135312242
310.003591439286416040.007182878572832070.996408560713584
320.002913386075236760.005826772150473520.997086613924763
330.003601067195796750.00720213439159350.996398932804203
340.00201032213411310.00402064426822620.997989677865887
350.002128766969282050.004257533938564090.997871233030718
360.002102878130966750.004205756261933510.997897121869033
370.001424509980585530.002849019961171060.998575490019414
380.000793599667904190.001587199335808380.999206400332096
390.0007974860676211480.001594972135242300.999202513932379
400.0004183134730880730.0008366269461761460.999581686526912
410.0006646288469085690.001329257693817140.999335371153091
420.0007170333061842430.001434066612368490.999282966693816
430.0004227948513644160.0008455897027288310.999577205148636
440.0003476237774417910.0006952475548835830.999652376222558
450.0007316769010233860.001463353802046770.999268323098977
460.0004620910144927310.0009241820289854610.999537908985507
470.0002523053231570750.000504610646314150.999747694676843
480.0003589960468491220.0007179920936982450.999641003953151
490.0004001372099744440.0008002744199488890.999599862790026
500.0004672040678565670.0009344081357131340.999532795932143
510.000782945706796550.00156589141359310.999217054293204
520.0004834319410269120.0009668638820538250.999516568058973
530.0007541609580050820.001508321916010160.999245839041995
540.0008116563643158240.001623312728631650.999188343635684
550.002102000500892990.004204001001785990.997897999499107
560.001632732860297160.003265465720594320.998367267139703
570.001164405926906780.002328811853813570.998835594073093
580.004840548353227730.009681096706455460.995159451646772
590.004578955943727980.009157911887455960.995421044056272
600.004302919466874280.008605838933748560.995697080533126
610.003003080861434750.00600616172286950.996996919138565
620.003000356697648040.006000713395296070.996999643302352
630.002605607805779540.005211215611559090.99739439219422
640.004884457902056070.009768915804112150.995115542097944
650.005965358460279480.01193071692055900.99403464153972
660.004125440073891140.008250880147782270.99587455992611
670.01163868870598270.02327737741196530.988361311294017
680.01084887572091460.02169775144182930.989151124279085
690.007288904415810260.01457780883162050.99271109558419
700.006364395359784180.01272879071956840.993635604640216
710.005167241992709970.01033448398541990.99483275800729
720.002833757038170470.005667514076340950.99716624296183
730.001586674382718470.003173348765436940.998413325617282
740.001960059913432600.003920119826865210.998039940086567
750.002566970183178460.005133940366356930.997433029816821
760.006071746642306030.01214349328461210.993928253357694
770.003981118399752990.007962236799505980.996018881600247
780.003834896277034240.007669792554068480.996165103722966
790.0080902139129160.0161804278258320.991909786087084
800.003157637613473640.006315275226947290.996842362386526


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level440.6875NOK
5% type I error level560.875NOK
10% type I error level570.890625NOK