Multiple Linear Regression - Estimated Regression Equation
Y[t] = + 23.6616041005634 -6.28343467972651X[t] + 0.259129910030104Y1[t] + 0.0678592356499644Y2[t] + 0.300566138661765Y3[t] + 0.11954465131137Y4[t] + 0.447120338298871M1[t] + 3.13191196265063M2[t] -10.6673105547517M3[t] -9.76717630491025M4[t] -8.14521510308711M5[t] + 3.22707368037767M6[t] -16.2457824226025M7[t] -2.16575180482806M8[t] -2.42715733581733M9[t] -1.16358422500642M10[t] + 11.8259988011420M11[t] + 0.177520173264150t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)23.661604100563411.8448791.99760.0489180.024459
X-6.283434679726514.411284-1.42440.1579490.078975
Y10.2591299100301040.1066452.42980.0171850.008592
Y20.06785923564996440.1057360.64180.5227240.261362
Y30.3005661386617650.1060422.83440.0057210.00286
Y40.119544651311370.107771.10930.2704110.135206
M10.4471203382988716.069510.07370.9414470.470723
M23.131911962650635.9801290.52370.601820.30091
M3-10.66731055475176.020446-1.77180.0799620.039981
M4-9.767176304910256.293168-1.5520.1243280.062164
M5-8.145215103087116.263951-1.30030.1969610.098481
M63.227073680377676.3159670.51090.6107030.305351
M7-16.24578242260255.835107-2.78410.0065990.003299
M8-2.165751804828066.512214-0.33260.740270.370135
M9-2.427157335817336.296107-0.38550.7008180.350409
M10-1.163584225006426.445088-0.18050.8571550.428577
M1111.82599880114206.1033491.93760.0559510.027975
t0.1775201732641500.0783892.26460.0260510.013026


Multiple Linear Regression - Regression Statistics
Multiple R0.811769033341268
R-squared0.658968963491817
Adjusted R-squared0.591555851623921
F-TEST (value)9.77508596225523
F-TEST (DF numerator)17
F-TEST (DF denominator)86
p-value9.9698027611339e-14
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation11.8679156254582
Sum Squared Residuals12112.8782311977


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1110.3672031102.9656972108077.40150588919329
296.8602511109.88093269058-13.0206815905799
394.194458390.45982484559113.73463345440887
499.5162196190.97464919063458.54157041936552
594.0633348790.89030331430953.17303155569052
697.554147698.972306478278-1.41815887827806
778.1506242281.492375923757-3.34175170375705
881.243464389.956012920021-8.71254862002103
992.3626246589.75422356664382.60840108335619
1096.0632437188.87176752748237.19147618251767
11114.0523777102.36236509705911.6900126029414
12110.661666699.338305902858211.3233606971418
13104.9171949102.7465575631452.17063733685543
1490.00187193109.739527618820-19.7376556888205
1595.700806792.99437532420482.70643137579516
1686.0274115792.4047167316436-6.37730516164357
1784.8528766886.914495556189-2.06161887618898
18100.0432897.43337792754212.60990207245786
1980.9171382379.76840895153141.14872927846861
2074.0653970988.591185440573-14.5257883505730
2177.3028136989.8592351629742-12.5564214729742
2297.2304324987.74154689156759.48888559843252
2390.75515676101.946351447309-11.1911946873085
24100.561445590.12617698343210.4352685165680
2592.0129326799.229096226296-7.21616355629606
2699.24012138100.977671539818-1.73755015981768
27105.867275590.82200817118115.0452673288190
2890.992046392.7102838223847-1.71823752238474
2993.3062442392.2551812247681.05106300523195
3091.17419413106.251116277723-15.0769221477229
3177.3329503982.8815927261962-5.54864233619617
3291.127772192.3250994300588-1.19732733005881
3385.0124994394.512436678903-9.49993724890296
3483.9039024290.8899015923685-6.98599917236852
35104.8626302105.846366057431-0.98373585743099
36110.903910899.364745385726311.5391654142737
3795.43714373101.912850781344-6.47570705134366
38111.6238727107.3441743406094.27969835939079
39108.8925403101.1886828137077.70385748629318
4096.1751168298.7304027003058-2.55528588030577
41101.9740205100.0652864920161.90873400798395
4299.11953031113.368861038547-14.2493307285474
4386.7815814789.578407445564-2.79682597556398
44118.4195003100.66777727334717.7517230266529
45118.7441447107.78024402196610.9639006780336
46106.5296192107.402778693284-0.873159493284235
47134.7772694125.4611144257169.31615497428449
48104.6778714124.183299576964-19.5054281769645
49105.2954304115.292686480784-9.9972560807843
50139.4139849123.30261009975516.1113748002447
51103.6060491112.893948455889-9.28789935588896
5299.78182974103.595350012062-3.81352027206218
53103.4610301112.302670672971-8.84164057297146
54120.0594945117.8623995893392.19709491066137
5596.7137716897.6878119246435-0.974040244643523
56107.1308929107.670824844534-0.539931944533667
57105.3608372114.130869341622-8.77003214162232
58111.6942359110.7875100117970.906725888202717
59132.0519998125.8158492266046.23615057339612
60126.8037879120.5857480383446.21803986165644
61154.4824253122.92388667064331.5585386293567
62141.5570984139.4784000658322.07869833416769
63109.9506882125.241837104027-15.2911489040269
64127.904198124.9440879968152.96011000318453
65133.0888617128.6749913727734.41387032722707
66120.0796299131.741642851762-11.6620129517616
67117.5557142111.0448930013846.51082119861605
68143.0362309127.47020563524215.5660252647582
69159.982927124.24404285263635.7388841473638
70128.5991124129.491832684023-0.89272028402333
71149.7373327143.0333005672046.70403213279556
72126.8169313142.872347887312-16.0554165873124
73140.9639674131.5850252241549.37894217584638
74137.6691981139.159562374336-1.49036427433584
75117.9402337121.281958444108-3.34172474410787
76122.3095247118.5357761917193.77374850828066
77127.7804207120.8295855175646.95083518243584
78136.1677176127.7698333135268.39788428647392
79116.2405856109.9739164504106.26666914958952
80123.1576893121.8035983307471.35409096925263
81116.3400234125.334855283980-8.99483188397974
82108.6119282120.491912150278-11.8799839502782
83125.8982264130.890658242176-4.99243184217618
84112.8003105121.974897113968-9.17458661396786
85107.5182447117.240691613604-9.72244691360394
86135.0955413122.11727106985612.9782702301440
87115.5096488113.4129286489122.09672015108772
88115.8640759108.1332708683677.73080503163253
89104.5883906116.352870050945-11.7644794509451
90163.7213386122.41472506764541.3066135323553
91113.4482275115.442485342446-1.99425784244561
9298.0428844117.338766702915-19.2958823029154
93116.7868521126.276815261274-9.48996316127435
94126.5330444123.4882691691993.04477523080139
95113.0336597129.812647596502-16.7789878965019
96124.3392163119.1196194113955.21959688860474
97109.8298759126.927926329224-17.0980504292238
98124.4434777123.9052677103930.538209989606686
99111.5039454114.870082192380-3.36613679238022
100102.0350019110.576887026067-8.541885126067
101116.8726598111.7024549784645.17020482153624
102112.2073122124.312382295638-12.1050700956385
103101.1513902100.4220917240680.729298475932147
104124.4255108114.8258715125629.59963928743815


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
210.1012988081998090.2025976163996170.898701191800191
220.04553312562750070.09106625125500140.9544668743725
230.1536791772698150.3073583545396310.846320822730184
240.08719588753570220.1743917750714040.912804112464298
250.0532110848627810.1064221697255620.94678891513722
260.06677921456757580.1335584291351520.933220785432424
270.1299661549770160.2599323099540310.870033845022984
280.08335252330005790.1667050466001160.916647476699942
290.05805993269814580.1161198653962920.941940067301854
300.03727953119478630.07455906238957260.962720468805214
310.02400836001876890.04801672003753780.975991639981231
320.03884057490413450.0776811498082690.961159425095865
330.02608479812039160.05216959624078310.973915201879608
340.02230620625202920.04461241250405840.97769379374797
350.01413358732141940.02826717464283890.98586641267858
360.01039560269125480.02079120538250950.989604397308745
370.006241903599490970.01248380719898190.99375809640051
380.01190568396030300.02381136792060590.988094316039697
390.008939773002906780.01787954600581360.991060226997093
400.005583472985495480.01116694597099100.994416527014504
410.003310498499062980.006620996998125970.996689501500937
420.002837716620994670.005675433241989340.997162283379005
430.001939103769946420.003878207539892850.998060896230054
440.01382400429266940.02764800858533890.98617599570733
450.01701910946167520.03403821892335030.982980890538325
460.01213268003924620.02426536007849250.987867319960754
470.008539813858821330.01707962771764270.991460186141179
480.02681502789428920.05363005578857840.973184972105711
490.02183989527385790.04367979054771580.978160104726142
500.03908318692568920.07816637385137850.96091681307431
510.02981948463696660.05963896927393330.970180515363033
520.02180006794749950.04360013589499910.9781999320525
530.02397567905688340.04795135811376670.976024320943117
540.03135033035948640.06270066071897280.968649669640514
550.02679776499016780.05359552998033560.973202235009832
560.02466749161821600.04933498323643190.975332508381784
570.0375048296710870.0750096593421740.962495170328913
580.03588296009261900.07176592018523790.964117039907381
590.03100440681119170.06200881362238340.968995593188808
600.02347202444724880.04694404889449750.976527975552751
610.1214382767364310.2428765534728630.878561723263569
620.09572867250986130.1914573450197230.904271327490139
630.09130741205184810.1826148241036960.908692587948152
640.06723302633374530.1344660526674910.932766973666255
650.05163184251363410.1032636850272680.948368157486366
660.06764472568117830.1352894513623570.932355274318822
670.05615796901800690.1123159380360140.943842030981993
680.04764120044246040.09528240088492080.95235879955754
690.1601875022463490.3203750044926980.839812497753651
700.2846511383701000.5693022767401990.7153488616299
710.3697211576462600.7394423152925210.63027884235374
720.4219978123498550.843995624699710.578002187650145
730.4426365427953730.8852730855907460.557363457204627
740.3631601913912250.7263203827824510.636839808608775
750.2880645071154830.5761290142309650.711935492884517
760.2143941614340610.4287883228681220.785605838565939
770.1546862393918880.3093724787837750.845313760608112
780.1075594463756430.2151188927512860.892440553624357
790.06659255658342130.1331851131668430.933407443416579
800.03916504603530180.07833009207060360.960834953964698
810.02500370284014060.05000740568028110.97499629715986
820.02069724825347630.04139449650695270.979302751746524
830.01625247640136770.03250495280273550.983747523598632


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level30.0476190476190476NOK
5% type I error level220.349206349206349NOK
10% type I error level370.587301587301587NOK