Multiple Linear Regression - Estimated Regression Equation
Y[t] = + 5025.8413037037 + 1917.67413333333X[t] + 379.988237037039M1[t] + 445.622681481482M2[t] + 406.368237037036M3[t] + 146.944444444444M4[t] + 143.320000000000M5[t] + 78.2255555555556M6[t] -95.3544444444446M7[t] -101.822222222222M8[t] + 2.99111111111107M9[t] + 4.57888888888867M10[t] + 40.4199999999999M11[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)5025.8413037037602.1852578.34600
X1917.67413333333436.7292384.3912.9e-051.5e-05
M1379.988237037039841.8854550.45140.6527630.326382
M2445.622681481482841.8854550.52930.5978220.298911
M3406.368237037036841.8854550.48270.6304280.315214
M4146.944444444444840.485810.17480.8615830.430792
M5143.320000000000840.485810.17050.8649640.432482
M678.2255555555556840.485810.09310.9260420.463021
M7-95.3544444444446840.48581-0.11350.9099120.454956
M8-101.822222222222840.48581-0.12110.9038310.451915
M92.99111111111107840.485810.00360.9971680.498584
M104.57888888888867840.485810.00540.9956650.497832
M1140.4199999999999840.485810.04810.9617440.480872


Multiple Linear Regression - Regression Statistics
Multiple R0.414076228513992
R-squared0.171459123020372
Adjusted R-squared0.0668013280334715
F-TEST (value)1.63828335043589
F-TEST (DF numerator)12
F-TEST (DF denominator)95
p-value0.0938966040374087
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation1782.93964770604
Sum Squared Residuals301993009.799404


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
14716.995405.82954074073-688.839540740731
24926.655471.46398518519-544.813985185187
34920.15432.20954074074-512.109540740741
45170.095172.78574814815-2.69574814814985
55246.245169.161303703777.0786962962968
65283.615104.06685925926179.54314074074
74979.054930.4868592592648.5631407407415
84825.24924.01908148148-98.819081481482
94695.125028.83241481481-333.712414814815
104711.545030.42019259259-318.880192592593
114727.225066.2613037037-339.041303703704
124384.965025.8413037037-640.881303703704
134378.755405.82954074074-1027.07954074074
144472.935471.46398518519-998.533985185185
154564.075432.20954074074-868.139540740741
164310.545172.78574814815-862.245748148148
174171.385169.1613037037-997.781303703704
184049.385104.06685925926-1054.68685925926
193591.374930.48685925926-1339.11685925926
203720.464924.01908148148-1203.55908148148
214107.235028.83241481481-921.602414814815
224101.715030.42019259259-928.710192592593
234162.345066.2613037037-903.921303703704
244136.225025.8413037037-889.621303703704
254125.885405.82954074074-1279.94954074074
264031.485471.46398518519-1439.98398518519
273761.365432.20954074074-1670.84954074074
283408.565172.78574814815-1764.22574814815
293228.475169.1613037037-1940.69130370370
303090.455104.06685925926-2013.61685925926
312741.144930.48685925926-2189.34685925926
322980.444924.01908148148-1943.57908148148
333104.335028.83241481481-1924.50241481482
343181.575030.42019259259-1848.85019259259
352863.865066.2613037037-2202.40130370370
362898.015025.8413037037-2127.83130370370
373112.335405.82954074074-2293.49954074074
383254.335471.46398518518-2217.13398518518
393513.475432.20954074074-1918.73954074074
403587.615172.78574814815-1585.17574814815
413727.455169.1613037037-1441.71130370370
423793.345104.06685925926-1310.72685925926
433817.584930.48685925926-1112.90685925926
443845.134924.01908148148-1078.88908148148
453931.865028.83241481481-1096.97241481482
464197.525030.42019259259-832.900192592592
474307.135066.2613037037-759.131303703704
484229.435025.8413037037-796.411303703704
494362.285405.82954074074-1043.54954074074
504217.345471.46398518519-1254.12398518519
514361.285432.20954074074-1070.92954074074
524327.745172.78574814815-845.045748148149
534417.655169.1613037037-751.511303703704
544557.685104.06685925926-546.386859259259
554650.354930.48685925926-280.136859259259
564967.184924.0190814814843.1609185185189
575123.425028.8324148148194.5875851851853
585290.855030.42019259259260.429807407408
595535.665066.2613037037469.398696296296
605514.065025.8413037037488.218696296296
615493.885405.8295407407488.0504592592574
625694.835471.46398518519223.366014814815
635850.415432.20954074074418.200459259259
646116.645172.78574814815943.854251851852
6561755169.16130370371005.83869629630
666513.585104.066859259261409.51314074074
676383.784930.486859259261453.29314074074
686673.664924.019081481481749.64091851852
696936.615028.832414814811907.77758518518
707300.685030.420192592592270.25980740741
717392.935066.26130370372326.66869629630
727497.315025.84130370372471.46869629630
737584.715405.829540740742178.88045925926
747160.795471.463985185191689.32601481481
757196.195432.209540740741763.98045925926
767245.635172.785748148152072.84425185185
777347.515169.16130370372178.34869629630
787425.755104.066859259262321.68314074074
797778.514930.486859259262848.02314074074
807822.334924.019081481482898.31091851852
818181.225028.832414814813152.38758518519
828371.475030.420192592593341.04980740741
838347.715066.26130370373281.44869629630
848672.115025.84130370373646.26869629630
858802.795405.829540740743396.96045925926
869138.465471.463985185183666.99601481481
879123.295432.209540740743691.08045925926
889023.217090.459881481481932.75011851852
898850.417086.835437037041763.57456296296
908864.587021.740992592591842.83900740741
919163.746848.16099259262315.57900740741
928516.666841.693214814811674.96678518519
938553.446946.506548148151606.93345185185
947555.26948.09432592593607.105674074074
957851.226983.93543703704867.284562962964
9674426943.51543703704498.484562962963
977992.537323.50367407408669.026325925924
988264.047389.13811851852874.901881481483
997517.397349.88367407407167.506325925927
1007200.47090.45988148148109.940118518518
1017193.697086.83543703704106.854562962963
1026193.587021.74099259259-828.160992592592
1035104.216848.16099259259-1743.95099259259
1044800.466841.69321481482-2041.23321481482
1054461.616946.50654814815-2484.89654814815
1064398.596948.09432592593-2549.50432592593
1074243.636983.93543703704-2740.30543703704
1084293.826943.51543703704-2649.69543703704


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
160.01614937226336330.03229874452672660.983850627736637
170.01109203846498390.02218407692996790.988907961535016
180.0084817771757210.0169635543514420.99151822282428
190.007215770277853820.01443154055570760.992784229722146
200.004180420699474070.008360841398948150.995819579300526
210.001613715572870590.003227431145741170.99838628442713
220.0006198449098054750.001239689819610950.999380155090195
230.0002276936411265460.0004553872822530910.999772306358873
247.0470865500154e-050.0001409417310003080.9999295291345
252.4408409357394e-054.8816818714788e-050.999975591590643
261.07820536502237e-052.15641073004474e-050.99998921794635
277.6227350740456e-061.52454701480912e-050.999992377264926
289.81585728745823e-061.96317145749165e-050.999990184142713
291.50606777528912e-053.01213555057824e-050.999984939322247
302.41058766683406e-054.82117533366811e-050.999975894123332
313.44473682396855e-056.8894736479371e-050.99996555263176
323.31299281407547e-056.62598562815094e-050.99996687007186
333.19148282496544e-056.38296564993089e-050.99996808517175
342.83634919176705e-055.6726983835341e-050.999971636508082
353.9720857615039e-057.9441715230078e-050.999960279142385
364.36955986462112e-058.73911972924225e-050.999956304401354
375.50488743329777e-050.0001100977486659550.999944951125667
386.54611111535887e-050.0001309222223071770.999934538888846
395.82137465209906e-050.0001164274930419810.99994178625348
404.45116965284349e-058.90233930568698e-050.999955488303472
413.09104836153634e-056.18209672307267e-050.999969089516385
422.02704486598603e-054.05408973197206e-050.99997972955134
431.25639997969115e-052.51279995938229e-050.999987436000203
447.72809474217294e-061.54561894843459e-050.999992271905258
454.8535222441559e-069.7070444883118e-060.999995146477756
462.86431080529572e-065.72862161059143e-060.999997135689195
471.78696062065140e-063.57392124130280e-060.99999821303938
481.17937369108643e-062.35874738217286e-060.999998820626309
499.94140967919774e-071.98828193583955e-060.999999005859032
509.63824738967007e-071.92764947793401e-060.999999036175261
518.80005508906628e-071.76001101781326e-060.999999119994491
528.32872924557219e-071.66574584911444e-060.999999167127075
538.41734762364736e-071.68346952472947e-060.999999158265238
548.52544967059152e-071.70508993411830e-060.999999147455033
551.05251835850552e-062.10503671701103e-060.999998947481642
561.38280879262959e-062.76561758525919e-060.999998617191207
571.86254652030471e-063.72509304060941e-060.99999813745348
582.42476349161769e-064.84952698323537e-060.999997575236508
594.00738762400137e-068.01477524800275e-060.999995992612376
607.10801503442135e-061.42160300688427e-050.999992891984966
611.69756636969691e-053.39513273939382e-050.999983024336303
624.40023181114045e-058.8004636222809e-050.999955997681889
639.82397281226553e-050.0001964794562453110.999901760271877
640.0002556371224794710.0005112742449589410.99974436287752
650.0006252391102542360.001250478220508470.999374760889746
660.001439048486110540.002878096972221090.99856095151389
670.00303696964565040.00607393929130080.99696303035435
680.005490076095249770.01098015219049950.99450992390475
690.009174658256150450.01834931651230090.99082534174385
700.01500953755595440.03001907511190880.984990462444046
710.02236627945770950.04473255891541890.97763372054229
720.03256660229788640.06513320459577280.967433397702114
730.04755542461632890.09511084923265780.95244457538367
740.06487974443764850.1297594888752970.935120255562351
750.07702407698783680.1540481539756740.922975923012163
760.09771958856949240.1954391771389850.902280411430508
770.1220944038609440.2441888077218880.877905596139056
780.1366603547691680.2733207095383360.863339645230832
790.1486574615032450.2973149230064900.851342538496755
800.1475171967324330.2950343934648650.852482803267567
810.1435554135431290.2871108270862580.856444586456871
820.1379602211702860.2759204423405710.862039778829714
830.1275341642716950.2550683285433890.872465835728305
840.1316189827397710.2632379654795430.868381017260229
850.1190890109483670.2381780218967340.880910989051633
860.1083177678817340.2166355357634680.891682232118266
870.0916415751211890.1832831502423780.908358424878811
880.06553962302024870.1310792460404970.934460376979751
890.04315376491204580.08630752982409160.956846235087954
900.03365026191790930.06730052383581860.96634973808209
910.04390633415119950.0878126683023990.9560936658488
920.05003815718634450.1000763143726890.949961842813655


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level480.623376623376623NOK
5% type I error level560.727272727272727NOK
10% type I error level610.792207792207792NOK