Multiple Linear Regression - Estimated Regression Equation
Yt[t] = + 201.730817279814 -11.4118617949622X[t] + 1.21358991033072`Yt-1`[t] -0.250695764968951`Yt-2 `[t] -2.51442156104134t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)201.730817279814182.9190491.10280.2750780.137539
X-11.411861794962286.199045-0.13240.8951770.447589
`Yt-1`1.213589910330720.1368418.868600
`Yt-2 `-0.2506957649689510.134741-1.86060.0683560.034178
t-2.514421561041341.824066-1.37850.1738490.086925


Multiple Linear Regression - Regression Statistics
Multiple R0.980150857748208
R-squared0.960695703944548
Adjusted R-squared0.957729341978098
F-TEST (value)323.863275894988
F-TEST (DF numerator)4
F-TEST (DF denominator)53
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation176.239030887663
Sum Squared Residuals1646190.38843581


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
12921.442965.95366249096-44.5136624909641
22981.853027.83215954121-45.9821595412143
33080.583080.537991105440.0420088945597845
43106.223182.69677022958-76.4767702295774
53119.313186.54760109403-67.2376010940309
63061.263193.49123204541-132.231232045415
73097.313117.24630862623-19.9363086262322
83161.693173.03469248906-11.3446924890602
93257.163239.6136070279817.54639297202
103277.013336.82082085751-59.8108208575104
113295.323334.46223433495-39.1422343349486
123363.993349.1923330974314.7976669025708
133494.173425.4248912222268.7451087777843
143667.033552.26846421265114.761535787353
153813.063726.8996198677286.1603801322848
163917.963858.2704629797359.689537020265
173895.513946.45252045397-50.9425204539698
183801.063890.39501966076-89.3350196607614
193570.123790.2970127875-220.177012787499
203701.613519.78249054104181.827509458963
213862.273734.73868625131127.531313748689
223970.13894.2356335482475.8643664517647
234138.523982.30583041824156.214169581757
244199.754157.151697218542.5983027815003
254290.894186.72320513094104.166794869064
264443.914279.46526630839164.444733691612
274502.644439.8059608068862.8340391931181
284356.984470.20420872402-113.224208724016
294591.274276.19491854758315.075081452426
304696.964594.52882220330102.431177796705
314621.44661.54320749053-40.1432074905315
324562.844540.8338969053322.0061030946679
334202.524486.19422219638-283.674222196379
344296.494061.07982814156235.410171858444
354435.234262.93714848790172.292851512096
364105.184405.23831005201-300.058310052013
374116.683967.39700815453149.282991845472
383844.494061.58100779029-217.091007790292
393720.983725.85654723919-4.87654723918963
403674.43641.688516120132.7114838798993
413857.623613.60851046717244.01148953283
423801.063845.12544100918-44.0654410091757
433504.373728.03789606222-223.667896062218
443032.63379.6428364718-347.042836471801
453047.032890.38389121764156.646108782362
462962.343012.24045130711-49.9004513071086
472197.822903.32956035166-705.509560351657
482014.451994.2328048798020.2171951202023
491862.831972.25618949044-109.426189490438
501905.411831.7073481474173.7026518525904
511810.991918.87807685284-107.888076852843
521670.071791.10187028600-121.031870285997
531864.441641.23905268952223.200947310480
542052.021909.93814919888142.081850801116
552029.62086.34118718066-56.7411871806635
562070.832009.5925682371361.2374317628683
572293.412062.73505772963230.674942270370
582443.272320.00529202033123.264707979671


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
80.02523430815451590.05046861630903180.974765691845484
90.006563682508458840.01312736501691770.993436317491541
100.001663801282798020.003327602565596050.998336198717202
110.000335514300996870.000671028601993740.999664485699003
129.94039969136015e-050.0001988079938272030.999900596003086
138.87730405038833e-050.0001775460810077670.999911226959496
141.83271373831402e-053.66542747662804e-050.999981672862617
153.87007249306162e-067.74014498612324e-060.999996129927507
168.85036074456956e-071.77007214891391e-060.999999114963926
172.81652575828228e-075.63305151656455e-070.999999718347424
188.36061282742958e-081.67212256548592e-070.999999916393872
191.32731845468959e-072.65463690937917e-070.999999867268154
206.09986080470123e-081.21997216094025e-070.999999939001392
219.65616590253932e-081.93123318050786e-070.99999990343834
223.27885151841174e-086.55770303682348e-080.999999967211485
233.86834103249615e-087.7366820649923e-080.99999996131659
249.83309044968994e-091.96661808993799e-080.99999999016691
251.96536410661777e-083.93072821323555e-080.99999998034636
261.44420318442585e-072.8884063688517e-070.999999855579682
275.75952884216035e-081.15190576843207e-070.999999942404712
284.78530189974977e-089.57060379949955e-080.999999952146981
298.50853888702006e-061.70170777740401e-050.999991491461113
304.94201208278786e-069.88402416557571e-060.999995057987917
312.04659715280308e-064.09319430560616e-060.999997953402847
327.36716771532692e-071.47343354306538e-060.999999263283228
330.0001139826651602480.0002279653303204950.99988601733484
348.6135049290247e-050.0001722700985804940.99991386495071
358.46750682219367e-050.0001693501364438730.999915324931778
360.002320372799344710.004640745598689420.997679627200655
370.001692333339647210.003384666679294420.998307666660353
380.003376927321935430.006753854643870870.996623072678064
390.002000725964666250.004001451929332500.997999274035334
400.001278405724565590.002556811449131190.998721594275434
410.01135895252104540.02271790504209090.988641047478955
420.02301785725581690.04603571451163390.976982142744183
430.03045333576762920.06090667153525840.96954666423237
440.04586464190241570.09172928380483140.954135358097584
450.06719607924968030.1343921584993610.93280392075032
460.7588239940726970.4823520118546070.241176005927303
470.8286691625387520.3426616749224960.171330837461248
480.7205146670273030.5589706659453950.279485332972697
490.596994266097620.806011467804760.40300573390238
500.7688204567034450.462359086593110.231179543296555


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level310.72093023255814NOK
5% type I error level340.790697674418605NOK
10% type I error level370.86046511627907NOK