Multiple Linear Regression - Estimated Regression Equation
Y[t] = + 107756.349835734 + 0.465346280212279X[t] + 4646.78857839405M1[t] + 5889.18188955366M2[t] + 6136.0129828292M3[t] + 6531.672854175M4[t] + 7278.30279838781M5[t] + 7017.24534200469M6[t] -1198.54933758642M7[t] -6602.51200200083M8[t] -6533.95173292422M9[t] -3172.51702113678M10[t] -2894.00700454304M11[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)107756.3498357345296.97288820.34300
X0.4653462802122790.00946949.142400
M14646.788578394052326.4700371.99740.0504050.025202
M25889.181889553662329.0620272.52860.0141480.007074
M36136.01298282922336.6416062.6260.0109880.005494
M46531.6728541752345.0919112.78530.007180.00359
M57278.302798387812356.9134293.08810.0030690.001535
M67017.245342004692355.0506832.97970.0041850.002093
M7-1198.549337586422326.401335-0.51520.6083420.304171
M8-6602.512002000832340.887441-2.82050.0065210.00326
M9-6533.951732924222337.435952-2.79540.0069850.003492
M10-3172.517021136782328.665265-1.36240.1782580.089129
M11-2894.007004543042322.86763-1.24590.2177340.108867


Multiple Linear Regression - Regression Statistics
Multiple R0.988920632601208
R-squared0.977964017584373
Adjusted R-squared0.973482122855771
F-TEST (value)218.203254829554
F-TEST (DF numerator)12
F-TEST (DF denominator)59
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation4023.24052128466
Sum Squared Residuals955001393.234303


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1344744341756.0328109542987.96718904641
2338653337458.9440024661194.05599753383
3327532328852.096768423-1320.09676842291
4326225326768.857005078-543.857005077890
5318672320707.005523505-2035.00552350486
6317756319129.483440401-1373.48344040119
7337302333730.5475721793571.45242782144
8349420343396.3588461596023.64115384141
9336923334589.8348590272333.16514097337
10330758330288.412374558469.587625441537
11321002320874.224720611127.775279389375
12320820321894.747601019-1074.74760101903
13327032329737.069085631-2705.06908563080
14324047327737.394862551-3690.39486255146
15316735322361.912198302-5626.91219830224
16315710320374.533768681-4664.53376868096
17313427317966.115933055-4539.11593305452
18310527315490.475529141-4963.47552914117
19330962331792.380315094-830.380315094416
20339015338328.272508367686.727491633325
21341332339911.0695732541420.93042674596
22339092338574.368240018517.631759981688
23323308324032.995270692-724.995270691583
24325849326965.626016492-1116.62601649224
25330675333930.769762904-3255.76976290386
26332225334501.203045437-2276.20304543695
27331735332809.401535348-1074.40153534812
28328047328929.459784103-882.459784103503
29326165326638.774557371-473.77455737077
30327081326797.459445739283.54055426087
31346764347070.629387024-306.629387023978
32344190345549.981430981-1359.98143098104
33343333344586.868996827-1253.86899682703
34345777345905.433538483-128.433538482564
35344094341834.8172202122259.18277978766
36348609346124.3977191122484.602280888
37354846353994.174634256851.825365743703
38356427354233.7467115582193.25328844155
39353467351187.7875260522279.21247394811
40355996351208.3782955474787.6217044534
41352487348106.5945024044380.40549759614
42355178350690.6642032394487.33579676138
43374556371490.1407874443065.85921255644
44375021370921.5913207154099.40867928505
45375787370188.8252952665598.17470473399
46372720367720.4018085544999.59819144598
47364431359566.8372277014864.16277229875
48370490365924.8819421444565.11805785551
49376974374078.9854344992895.01456550151
50377632374636.8543674662995.14563253415
51378205372314.0433014095890.95669859082
52370861367249.7952670243611.20473297570
53369167364768.3180654054398.68193459547
54371551367327.2590671084223.74093289217
55382842382754.77819254287.2218074577937
56381903385370.127975026-3467.12797502602
57384502386299.578862495-1797.57886249534
58392058389061.1822190892996.81778091084
59384359381355.7461060813003.25389391919
60388884384848.6537732574035.34622674295
61386586387359.968271757-773.96827175695
62387495387910.857010521-415.857010521121
63385705385853.758670466-148.75867046566
64378670380977.975879567-2307.97587956675
65377367379098.191418261-1731.19141826147
66376911379568.658314372-2657.65831437206
67389827395414.523745717-5587.52374571728
68387820393802.667918753-5982.66791875273
69387267393567.822413131-6300.82241313094
70380575389430.201819298-8855.20181929749
71372402381931.379454703-9529.3794547034
72376740385633.692947975-8893.69294797517


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
160.003048193917454260.006096387834908530.996951806082546
170.000882813797003440.001765627594006880.999117186202997
180.000589868716095640.001179737432191280.999410131283904
190.002172192529780770.004344385059561540.99782780747022
200.001377704328567840.002755408657135680.998622295671432
210.002642682138149010.005285364276298020.99735731786185
220.003736312108486640.007472624216973280.996263687891513
230.002067868474227590.004135736948455180.997932131525772
240.001167035872958050.002334071745916100.998832964127042
250.0009765610325532290.001953122065106460.999023438967447
260.000627342418564270.001254684837128540.999372657581436
270.0003223250481774390.0006446500963548780.999677674951823
280.0001599204232823800.0003198408465647590.999840079576718
298.21240665046418e-050.0001642481330092840.999917875933495
304.21951197615399e-058.43902395230798e-050.999957804880238
310.0006853166193259730.001370633238651950.999314683380674
320.002558437821147210.005116875642294430.997441562178853
330.004910403745454320.009820807490908630.995089596254546
340.005150983418913280.01030196683782660.994849016581087
350.003149216202587250.00629843240517450.996850783797413
360.002044953875393220.004089907750786440.997955046124607
370.001834876423360950.003669752846721910.998165123576639
380.001582430472033050.00316486094406610.998417569527967
390.002986613347254440.005973226694508890.997013386652746
400.002413491334819900.004826982669639810.99758650866518
410.002439827494977250.004879654989954490.997560172505023
420.002129385811939530.004258771623879060.99787061418806
430.002294875621863150.00458975124372630.997705124378137
440.001535626327013700.003071252654027390.998464373672986
450.0007972863103775150.001594572620755030.999202713689622
460.0003688930600133020.0007377861200266030.999631106939987
470.0001660642790374510.0003321285580749020.999833935720963
487.37272943460321e-050.0001474545886920640.999926272705654
493.80917532514781e-057.61835065029563e-050.999961908246749
501.95832797848147e-053.91665595696293e-050.999980416720215
517.89805379748756e-061.57961075949751e-050.999992101946203
522.87932402917856e-065.75864805835713e-060.99999712067597
538.8582979110376e-071.77165958220752e-060.999999114170209
542.54582050721663e-075.09164101443326e-070.99999974541795
556.2274978379137e-071.24549956758274e-060.999999377250216
561.05832552454630e-052.11665104909261e-050.999989416744755


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level400.97560975609756NOK
5% type I error level411NOK
10% type I error level411NOK