Multiple Linear Regression - Estimated Regression Equation
Yt[t] = + 103.814355265646 -10.6915674040462Xt_dummy[t] + 3.38103374929093M1[t] -5.04782803932688M2[t] -13.0891898279448M3[t] -10.3441056910569M4[t] -9.9354674796748M5[t] + 1.84817073170732M6[t] -5.68069105691055M7[t] -7.55955284552844M8[t] + 1.99908536585367M9[t] -18.5172764227642M10[t] -20.8961382113821M11[t] + 0.366361788617887t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)103.8143552656463.42985830.267800
Xt_dummy-10.69156740404622.89231-3.69650.0003940.000197
M13.381033749290934.0706780.83060.4086210.204311
M2-5.047828039326884.068623-1.24070.2182650.109132
M3-13.08918982794484.067024-3.21840.0018470.000924
M4-10.34410569105694.071745-2.54050.0129570.006478
M5-9.93546747967484.06832-2.44220.016750.008375
M61.848170731707324.065350.45460.6505870.325294
M7-5.680691056910554.062834-1.39820.1658210.08291
M8-7.559552845528444.060775-1.86160.0662420.033121
M91.999085365853674.0591730.49250.6236920.311846
M10-18.51727642276424.058028-4.56311.7e-059e-06
M11-20.89613821138214.057341-5.15022e-061e-06
t0.3663617886178870.0431128.497900


Multiple Linear Regression - Regression Statistics
Multiple R0.817912848421904
R-squared0.668981427613633
Adjusted R-squared0.616502873454818
F-TEST (value)12.7477107236818
F-TEST (DF numerator)13
F-TEST (DF denominator)82
p-value9.43689570931383e-15
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation8.1142235003832
Sum Squared Residuals5398.93108716203


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1111.6107.5617508035554.03824919644507
2104.699.49925080355455.10074919644548
391.691.8242508035545-0.224250803554514
498.394.93569672906033.36430327093967
597.795.71069672906031.98930327093968
6106.3107.860696729060-1.56069672906033
7102.3100.6981967290601.60180327093973
8106.699.18569672906037.41430327093971
9108.1109.110696729060-1.01069672906031
1093.888.96069672906034.83930327093968
1188.286.94819672906031.25180327093970
12108.9108.2106967290600.689303270939719
13114.2111.9580922669692.24190773303092
14102.5103.895592266969-1.39559226696918
1594.296.2205922669692-2.02059226696917
1697.499.332038192475-1.93203819247493
1798.5100.107038192475-1.60703819247493
18106.5112.257038192475-5.75703819247493
19102.9105.094538192475-2.19453819247494
2097.1103.582038192475-6.48203819247494
21103.7113.507038192475-9.80703819247493
2293.493.3570381924750.0429618075250712
2385.891.344538192475-5.54453819247494
24108.6112.607038192475-4.00703819247494
25110.2116.354433730384-6.15443373038376
26101.2108.291933730384-7.0919337303838
27101.2100.6169337303840.583066269616191
2896.9103.728379655890-6.82837965588957
2999.4104.503379655890-5.10337965588957
30118.7116.6533796558902.04662034411043
31108109.490879655890-1.49087965588958
32101.2107.978379655890-6.77837965588957
33119.9117.9033796558901.99662034411043
3494.897.7533796558896-2.95337965588958
3595.395.7408796558896-0.440879655889577
36118117.0033796558900.99662034411042
37115.9120.750775193798-4.85077519379839
38111.4112.688275193798-1.28827519379844
39108.2105.0132751937983.18672480620155
40108.8108.1247211193040.675278880695782
41109.5108.8997211193040.600278880695786
42124.8121.0497211193043.75027888069579
43115.3113.8872211193041.41277888069578
44109.5112.374721119304-2.87472111930422
45124.2122.2997211193041.90027888069578
4692.9102.149721119304-9.24972111930421
4798.4100.137221119304-1.73722111930421
48120.9121.399721119304-0.499721119304216
49111.7125.147116657213-13.4471166572130
50116.1117.084616657213-0.984616657213097
51109.4109.409616657213-0.00961665721308802
52111.7112.521062582719-0.821062582718852
53114.3113.2960625827191.00393741728114
54133.7125.4460625827198.25393741728114
55114.3118.283562582719-3.98356258271886
56126.5116.7710625827199.72893741728114
57131126.6960625827194.30393741728113
58104106.546062582719-2.54606258271886
59108.9104.5335625827194.36643741728115
60128.5125.7960625827192.70393741728114
61132.4129.5434581206282.85654187937232
62128121.4809581206286.51904187937227
63116.4113.8059581206282.59404187937227
64120.9116.9174040461333.98259595386651
65118.6117.6924040461330.9075959538665
66133.1129.8424040461333.25759595386650
67121.1122.679904046134-1.57990404613351
68127.6121.1674040461336.4325959538665
69135.4131.0924040461344.3075959538665
70114.9110.9424040461333.95759595386651
71114.3108.9299040461345.3700959538665
72128.9130.192404046134-1.2924040461335
73138.9133.9397995840424.96020041595768
74129.4125.8772995840423.52270041595763
75115118.202299584042-3.20229958404237
76128110.62217810550217.3778218944980
77127111.39717810550215.6028218944980
78128.8123.5471781055025.25282189449803
79137.9116.38467810550221.515321894498
80128.4114.87217810550213.5278218944980
81135.9124.79717810550211.1028218944980
82122.2104.64717810550217.5528218944980
83113.1102.63467810550210.465321894498
84136.2123.89717810550212.302821894498
85138127.64457364341110.3554263565892
86115.2119.582073643411-4.38207364341086
87111111.907073643411-0.907073643410865
8899.2115.018519568917-15.8185195689166
89102.4115.793519568917-13.3935195689166
90112.7127.943519568917-15.2435195689166
91105.5120.781019568917-15.2810195689166
9298.3119.268519568917-20.9685195689166
93116.4129.193519568917-12.7935195689166
9497.4109.043519568917-11.6435195689166
9593.3107.031019568917-13.7310195689166
96117.4128.293519568917-10.8935195689166


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
170.009588258177795220.01917651635559040.990411741822205
180.001512951300371550.00302590260074310.998487048699628
190.0002110355203797560.0004220710407595120.99978896447962
200.00468620179157290.00937240358314580.995313798208427
210.002018180167076440.004036360334152880.997981819832924
220.0005829844064370640.001165968812874130.999417015593563
230.0001693182278389880.0003386364556779760.99983068177216
244.50921391838976e-059.01842783677952e-050.999954907860816
251.19242550379534e-052.38485100759068e-050.999988075744962
263.01272000662773e-066.02544001325546e-060.999996987279993
274.02382399537543e-058.04764799075087e-050.999959761760046
281.32931689006513e-052.65863378013026e-050.9999867068311
294.61625019143791e-069.23250038287582e-060.999995383749809
307.26256187722001e-050.0001452512375444000.999927374381228
313.92193297369082e-057.84386594738164e-050.999960780670263
321.7539687621392e-053.5079375242784e-050.999982460312379
330.0001019435784440700.0002038871568881390.999898056421556
344.37601635753008e-058.75203271506017e-050.999956239836425
353.17577386308187e-056.35154772616374e-050.99996824226137
362.46862913784352e-054.93725827568704e-050.999975313708622
371.15587860567240e-052.31175721134479e-050.999988441213943
387.06308652081117e-061.41261730416223e-050.99999293691348
397.76459352460209e-061.55291870492042e-050.999992235406475
405.61517115662545e-061.12303423132509e-050.999994384828843
413.53962307994491e-067.07924615988981e-060.99999646037692
423.70598624524423e-067.41197249048846e-060.999996294013755
431.95460446103235e-063.90920892206470e-060.99999804539554
449.83385089960234e-071.96677017992047e-060.99999901661491
457.83529387547875e-071.56705877509575e-060.999999216470612
461.81683930665354e-063.63367861330709e-060.999998183160693
471.12914920837435e-062.25829841674869e-060.999998870850792
486.95580323733278e-071.39116064746656e-060.999999304419676
491.46366329276573e-052.92732658553146e-050.999985363367072
501.77152318480656e-053.54304636961313e-050.999982284768152
511.90743644987284e-053.81487289974567e-050.999980925635501
521.83889201701135e-053.67778403402271e-050.99998161107983
531.79221244334448e-053.58442488668895e-050.999982077875567
543.08605686653066e-056.17211373306133e-050.999969139431335
556.1493113790906e-050.0001229862275818120.99993850688621
560.0001797416680815280.0003594833361630560.999820258331918
570.0002354223553569910.0004708447107139830.999764577644643
580.001162713244688390.002325426489376770.998837286755312
590.002783979211950350.005567958423900690.99721602078805
600.01109757255090690.02219514510181390.988902427449093
610.1029322416630000.2058644833260010.897067758337
620.1909115427190380.3818230854380770.809088457280962
630.4645295027794940.9290590055589880.535470497220506
640.4077844171310280.8155688342620570.592215582868972
650.3838581299754450.767716259950890.616141870024555
660.3183776423786130.6367552847572270.681622357621386
670.4464692082143030.8929384164286060.553530791785697
680.4004639488490240.8009278976980480.599536051150976
690.3320570657579360.6641141315158710.667942934242064
700.342873626496830.685747252993660.65712637350317
710.2767330092589080.5534660185178170.723266990741092
720.5959214946947620.8081570106104760.404078505305238
730.6100914607116720.7798170785766560.389908539288328
740.6307601833790630.7384796332418740.369239816620937
750.53245111497990.93509777004020.4675488850201
760.4820054788787090.9640109577574180.517994521121291
770.3593000103406250.7186000206812490.640699989659375
780.417454696282680.834909392565360.58254530371732
790.5611872347278160.8776255305443690.438812765272184


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level420.666666666666667NOK
5% type I error level440.698412698412698NOK
10% type I error level440.698412698412698NOK