Multiple Linear Regression - Estimated Regression Equation
Y[t] = + 12.0629978135911 + 4.10249057534315D[t] + 1.26715012400874Y1[t] -0.0818377397940402Y2[t] -0.306104094987486Y3[t] + 8.12828354888152M1[t] + 1.82765873193793M2[t] + 8.39071715010505M3[t] + 3.13299489510839M4[t] + 6.63553113116698M5[t] + 8.96123770976727M6[t] -0.419420596737340M7[t] -5.56120073377028M8[t] -10.1703238068274M9[t] -3.70759284651021M10[t] + 1.00728573412857M11[t] + 0.248197689412285t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)12.06299781359119.9980031.20650.232050.116025
D4.102490575343157.9059340.51890.6056110.302806
Y11.267150124008740.12014610.546800
Y2-0.08183773979404020.201534-0.40610.6860430.343021
Y3-0.3061040949874860.124114-2.46630.016340.00817
M18.1282835488815210.6370380.76410.4475870.223793
M21.8276587319379310.7192730.17050.8651530.432577
M38.3907171501050510.8237290.77520.4410680.220534
M43.1329948951083910.865590.28830.7740180.387009
M56.6355311311669810.9720580.60480.5474730.273736
M68.9612377097672710.9335320.81960.415480.20774
M7-0.41942059673734011.029918-0.0380.9697860.484893
M8-5.5612007337702811.000799-0.50550.6149250.307463
M9-10.170323806827410.810949-0.94070.3503740.175187
M10-3.7075928465102111.080287-0.33460.7390120.369506
M111.0072857341285711.0275440.09130.9275060.463753
t0.2481976894122850.1823911.36080.1783510.089175


Multiple Linear Regression - Regression Statistics
Multiple R0.980859105002279
R-squared0.962084583865872
Adjusted R-squared0.95260572983234
F-TEST (value)101.497984931769
F-TEST (DF numerator)16
F-TEST (DF denominator)64
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation19.0574718264531
Sum Squared Residuals23243.9828746274


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1107.1105.7152762370561.38472376294368
2115.2115.586799599612-0.38679959961207
3106.1128.931356038502-22.8313560385025
489.5108.421955426242-18.9219554262423
591.389.40327755589531.89672244410471
697.698.4021057920908-0.802105792090774
7100.7102.186711001416-1.48671100141647
8104.6100.1547288065434.44527119345701
994.798.5535361147495-3.85353611474951
10101.891.451588657134510.3484113428655
11102.5105.027818461157-2.52781846115744
12105.3107.605118091086-2.30511809108570
13110.3117.298994184337-6.99899418433698
14109.8117.138899138935-7.3388991389348
15117.3122.050300019575-4.75030001957469
16118.8125.054799779015-6.25479977901542
17131.3130.2455278895381.05447211046218
18125.9146.240271385562-20.3402713855624
19133.1128.7830722089164.31692779108381
20147129.62859326170317.3714067382973
21145.8143.9447849881951.85521501180541
22164.4145.79363942206718.6063605779335
23149.8170.169066366107-20.3690663661069
24137.7149.754729464679-12.0547294646789
25151.7138.29998903669313.4000109633073
26156.8155.4470200836091.35297991639111
27180171.2788730158658.72112698413508
28180.4190.964401524509-10.5644015245088
29170.4191.762229051925-21.3622290519252
30191.6174.53028198022317.0697180197768
31199.5192.9573397520616.54266024793854
32218.2199.40032415035118.7996758496490
33217.5211.5991811275625.90081887243807
34205213.474516605936-8.47451660593562
35194196.931356167467-2.93135616746732
36199.3183.47086137257215.8291386274283
37219.3203.2897545931916.0102454068102
38211.1225.513734969787-14.4137349697872
39215.2218.675253561180-3.47525356118045
40240.2213.41003207059326.7899679294067
41242.2251.014037942024-8.81403794202438
42240.7252.821272173755-12.1212721737547
43255.4233.97180851637421.4281914836260
44253247.2158813113985.78411868860205
45218.2239.069936997641-20.869936997641
46203.7197.3807217110566.31927828894391
47205.6187.55272435578318.0472756442170
48215.6201.04029127926114.5597087207386
49188.5226.371291429352-37.8712914293525
50202.9184.57912076276818.3208792372322
51214208.7941004546175.20589954538335
52230.3224.9668997866565.33310021334409
53230244.055882853936-14.0558828539356
54241241.517931471742-0.51793147174156
55259.6245.46166736773114.1383326322694
56247.8263.328693317434-15.5286933174343
57270.3239.12606946545531.1739305345452
58289.7269.62002506818320.0799749318167
59322.7300.9364929194921.7635070805097
60315333.518364677839-18.5183646778394
61320.2323.498725105305-3.29872510530546
62329.5314.56419408444714.9358059155534
63360.6335.09139162978225.5086083702181
64382.2367.1374036468515.0625963531502
65435.4392.86665845993142.5333415400689
66464451.56541679154612.4345832084537
67468.8467.7078335123311.09216648766877
68403450.271274448509-47.2712744485087
69351.6353.384472637436-1.78447263743551
70252298.879508535624-46.8795085356239
71188201.982541729995-13.9825417299951
72146.5144.0106351145632.48936488543716
73152.9135.52596941406617.3740305859338
74148.1160.570231360843-12.4702313608426
75165.1173.478725280479-8.37872528047889
76177188.444507766135-11.4445077661345
77206.1207.352386246751-1.25238624675061
78244.9240.6227204050814.27727959491894
79228.6274.63156764117-46.03156764117
80253.4237.00050470406216.3994952959376
81241.1253.522018668963-12.4220186689626


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
200.1255494227882420.2510988455764840.874450577211758
210.049629789601540.099259579203080.95037021039846
220.02166905655898110.04333811311796210.97833094344102
230.02053025163428580.04106050326857150.979469748365714
240.008521633708660070.01704326741732010.99147836629134
250.003234566053661820.006469132107323640.996765433946338
260.001835594449859150.003671188899718310.99816440555014
270.003201580244713570.006403160489427140.996798419755286
280.001535532208820110.003071064417640230.99846446779118
290.001544243897195050.003088487794390090.998455756102805
300.003348589714861370.006697179429722740.996651410285139
310.001512818555075270.003025637110150540.998487181444925
320.001018165351389390.002036330702778790.99898183464861
330.0004442311219418180.0008884622438836360.999555768878058
340.000672152665228710.001344305330457420.999327847334771
350.0003348096237142040.0006696192474284080.999665190376286
360.0001450170227992820.0002900340455985640.9998549829772
376.73814050148104e-050.0001347628100296210.999932618594985
386.8115814751985e-050.000136231629503970.999931884185248
393.69029308455588e-057.38058616911175e-050.999963097069154
406.17858702644598e-050.0001235717405289200.999938214129735
413.79029761361041e-057.58059522722082e-050.999962097023864
423.50038478885096e-057.00076957770192e-050.999964996152112
432.19425160535088e-054.38850321070175e-050.999978057483947
442.46594667591877e-054.93189335183755e-050.99997534053324
450.0001268840001353880.0002537680002707760.999873115999865
460.0001750714199064360.0003501428398128710.999824928580094
470.0001141319149201650.000228263829840330.99988586808508
489.97179702781939e-050.0001994359405563880.999900282029722
490.001603178495145610.003206356990291220.998396821504854
500.001249825457504920.002499650915009830.998750174542495
510.0008355854113762880.001671170822752580.999164414588624
520.0006045634754481130.001209126950896230.999395436524552
530.0003221877223377810.0006443754446755610.999677812277662
540.0001396249015013380.0002792498030026750.999860375098499
555.5328327126079e-050.0001106566542521580.999944671672874
560.0002593171990877980.0005186343981755960.999740682800912
570.001943269827312450.003886539654624910.998056730172687
580.000959126371355290.001918252742710580.999040873628645
590.0009734354880219130.001946870976043830.999026564511978
600.0004983527728853650.000996705545770730.999501647227115
610.01086304372447470.02172608744894930.989136956275525


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level360.857142857142857NOK
5% type I error level400.952380952380952NOK
10% type I error level410.976190476190476NOK