Multiple Linear Regression - Estimated Regression Equation
yt[t] = + 28119.1565018716 + 0.224247526251785`yt-1`[t] + 0.36519346283177`yt-2`[t] + 0.602694136336523`yt-3`[t] -0.327862168171322`yt-4`[t] + 28942.8988936196M1[t] + 32090.1133255437M2[t] + 29065.2556587176M3[t] + 68882.0166486343M4[t] + 70753.4096217564M5[t] + 60369.6909960785M6[t] + 56577.5193671499M7[t] + 36920.8165999598M8[t] + 113460.268012881M9[t] + 86862.5721223365M10[t] + 73028.5702156483M11[t] + 126.260004778667t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)28119.156501871660431.8153410.46530.6433180.321659
`yt-1`0.2242475262517850.1199161.870.0661260.033063
`yt-2`0.365193462831770.0935453.90390.0002330.000117
`yt-3`0.6026941363365230.0957016.297700
`yt-4`-0.3278621681713220.119846-2.73570.0080760.004038
M128942.898893619615665.7243661.84750.0693660.034683
M232090.113325543716529.4707621.94140.0566870.028344
M329065.255658717616712.4875251.73910.0868960.043448
M468882.016648634315934.7910924.32275.6e-052.8e-05
M570753.409621756415101.5878344.68521.5e-058e-06
M660369.690996078514042.5095194.29916.1e-053e-05
M756577.519367149912446.9503334.54552.5e-051.3e-05
M836920.816599959813809.9086012.67350.0095480.004774
M9113460.26801288114552.8471217.796400
M1086862.572122336513958.8400786.222800
M1173028.570215648314126.1143065.16983e-061e-06
t126.260004778667111.4205861.13320.2614310.130716


Multiple Linear Regression - Regression Statistics
Multiple R0.900321315396772
R-squared0.810578470957773
Adjusted R-squared0.762471415962922
F-TEST (value)16.8494718923145
F-TEST (DF numerator)16
F-TEST (DF denominator)63
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation20435.3029081579
Sum Squared Residuals26308901111.7345


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1600969621290.265763368-20321.2657633677
2625568599929.29340506625638.7065949337
3558110550731.621780437378.37821957008
4630577620912.2018531159664.79814688512
5628654624718.4881858483935.51181415225
6603184591772.65371916111411.3462808394
7656255647485.2526907528769.74730924792
8600730605636.204330678-4906.20433067765
9670326674511.613416094-4185.61341609392
10678423683705.771276453-5282.77127645277
11641502646365.200786738-4863.20078673821
12625311628290.067127864-2979.06712786447
13628177622307.2454533745869.75454662613
14589767595403.795760241-5636.79576024121
15582471587285.273428967-4814.27342896724
16636248618600.84132436317647.1586756365
17599885605904.267266021-6019.26726602116
18621694615327.4341594826366.56584051846
19637406638075.771895152-669.771895152296
20595994590485.9997987535508.00020124721
21696308688669.3007879037638.69921209665
22674201671888.8238122412312.17618775881
23648861659747.518917714-10886.5189177137
24649605647125.5322095752479.4677904254
25672392620894.60410941851497.3958905824
26598396621525.490400163-23129.4904001626
27613177619111.568002031-5934.5680020313
28638104648835.998038136-10731.9980381355
29615632609753.4431385545878.55686144636
30634465636728.782580927-2263.78258092714
31638686639256.723150642-570.723150641723
32604243605834.154784289-1591.15478428887
33706669695035.84757468311633.1524253171
34677185675324.1741087741860.82589122598
35644328670267.523417174-25939.5234171737
36644825652253.854444847-7428.85444484675
37605707618083.858402667-12376.8584026668
38600136602630.686187234-2494.68618723375
39612166595269.27392274916896.7260772511
40599659612136.363154024-12477.3631540241
41634210625190.3329399559019.66706004503
42618234627190.306557955-8956.3065579551
43613576621077.538342445-7501.53834244518
44627200619592.4770824347607.52291756552
45668973676655.658353318-7682.6583533185
46651479666957.686830938-15478.6868309383
47619661674320.472120442-54659.4721204424
48644260608603.90765853435656.0923414662
49579936607330.288282727-27394.2882827267
50601752591721.75757304210030.242426958
51595376595482.23116713-106.231167130079
52588902595129.731419025-6227.73141902504
53634341627584.9137767266756.08622327394
54594305614157.357148702-19852.3571487016
55606200616296.104666766-10096.1046667657
56610926614320.599288923-3394.59928892287
57633685657362.889254167-23677.8892541667
58639696658016.343640338-18320.3436403384
59659451652916.4036372456534.59636275483
60593248598806.520454667-5558.52045466652
61606677616405.196598967-9728.1965989671
62599434608448.631416304-9014.63141630372
63569578562452.9148938717125.08510612881
64629873622854.7441698127018.25583018813
65613438618702.0110309-5264.0110309006
66604172611159.053707096-6987.0537070965
67658328645541.40578639112786.594213609
68612633605097.7018684917535.29813150853
69707372691097.69061383516274.3093861654
70739770704861.20033125534908.7996687446
71777535687720.88112068789814.1188793132
72685030707199.118104514-22169.1181045139
73730234717780.5413894812453.4586105198
74714154709547.345257954606.65474204973
75630872651417.116804821-20545.1168048214
76719492724385.120041525-4893.12004152498
77677023691329.543661996-14306.5436619958
78679272658990.41212667720281.5878733225
79718317721035.203467852-2718.20346785207
80645672656430.862846432-10758.8628464319


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
200.17340707700170.34681415400340.8265929229983
210.09055982611719260.1811196522343850.909440173882808
220.04224102082963920.08448204165927830.95775897917036
230.01765463915133030.03530927830266070.98234536084867
240.006931775274217050.01386355054843410.993068224725783
250.1531938519491930.3063877038983860.846806148050807
260.1291532779073620.2583065558147250.870846722092637
270.07941785999954270.1588357199990850.920582140000457
280.1347318639016230.2694637278032450.865268136098377
290.08916235793773280.1783247158754660.910837642062267
300.05866866629225470.1173373325845090.941331333707745
310.04239342968751020.08478685937502040.95760657031249
320.02482236115273630.04964472230547270.975177638847264
330.01610146351210730.03220292702421460.983898536487893
340.00933342010664130.01866684021328260.990666579893359
350.0070668792403640.0141337584807280.992933120759636
360.004121042958645320.008242085917290630.995878957041355
370.00755549845359450.0151109969071890.992444501546406
380.004001881905033420.008003763810066830.995998118094967
390.003247754812724370.006495509625448740.996752245187276
400.002419604688926030.004839209377852070.997580395311074
410.001666735864526160.003333471729052320.998333264135474
420.001237893649386600.002475787298773200.998762106350613
430.0006782197384951630.001356439476990330.999321780261505
440.0005060978866127600.001012195773225520.999493902113387
450.000389085993372220.000778171986744440.999610914006628
460.0001989037670355280.0003978075340710550.999801096232964
470.01047546952831590.02095093905663180.989524530471684
480.08473442967771470.1694688593554290.915265570322285
490.06849759885274470.1369951977054890.931502401147255
500.05358837551773410.1071767510354680.946411624482266
510.05211034933241160.1042206986648230.947889650667588
520.03182139276248540.06364278552497090.968178607237514
530.03472539057642770.06945078115285540.965274609423572
540.02169422539939510.04338845079879020.978305774600605
550.01231408473049300.02462816946098590.987685915269507
560.07645348040654070.1529069608130810.92354651959346
570.05306120273421330.1061224054684270.946938797265787
580.04466398046806060.08932796093612130.95533601953194
590.1732372492585840.3464744985171670.826762750741416
600.1007720001296290.2015440002592570.899227999870371


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level100.24390243902439NOK
5% type I error level200.48780487804878NOK
10% type I error level250.609756097560976NOK