Multiple Linear Regression - Estimated Regression Equation
Y[t] = + 8100.42455233596 + 3072.40963029376X[t] -6.22802678073278t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)8100.42455233596436.35931918.563700
X3072.40963029376665.0872044.61961.2e-056e-06
t-6.2280267807327811.057641-0.56320.5746460.287323


Multiple Linear Regression - Regression Statistics
Multiple R0.57996515606376
R-squared0.336359582248061
Adjusted R-squared0.321932616644758
F-TEST (value)23.3146450540544
F-TEST (DF numerator)2
F-TEST (DF denominator)92
p-value6.44035913488494e-09
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation1813.08224263671
Sum Squared Residuals302428584.10794


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
190518094.1965255552956.80347444479
288238087.9684987745735.031501225507
387768081.74047199376694.259528006238
482558075.51244521303179.487554786972
579698069.2844184323-100.284418432296
687588063.05639165156694.943608348437
786938056.82836487083636.17163512917
882718050.6003380901220.399661909903
977908044.37231130936-254.372311309365
1077698038.14428452863-269.144284528632
1181708031.9162577479138.083742252101
1282098025.68823096717183.311769032834
1393958019.460204186431375.53979581357
1492608013.23217740571246.7678225943
1590188007.004150624971010.99584937503
1685018000.77612384424500.223876155765
1785007994.5480970635505.451902936498
1896497988.320070282771660.67992971723
1993197982.092043502041336.90795649796
2088307975.8640167213854.135983278696
2184367969.63598994057466.364010059429
2281697963.40796315984205.592036840162
2382697957.1799363791311.820063620894
2479457950.95190959837-5.95190959837275
2591447944.723882817641199.27611718236
2687707938.4958560369831.504143963093
2788347932.26782925617901.732170743825
2878377926.03980247544-89.0398024754416
2977927919.8117756947-127.811775694709
3086167913.58374891398702.416251086024
3185187907.35572213324610.644277866757
3279407901.1276953525138.8723046474895
3375457894.89966857178-349.899668571778
3475317888.67164179104-357.671641791045
3576657882.44361501031-217.443615010312
3675997876.21558822958-277.215588229579
3784447869.98756144885574.012438551153
3885497863.75953466811685.240465331886
3979867857.53150788738128.468492112619
4073357851.30348110665-516.303481106648
4172877845.07545432592-558.075454325916
4278707838.8474275451831.1525724548173
4378397832.619400764456.3805992355501
4473277826.39137398372-499.391373983717
4572597820.16334720298-561.163347202984
4669647813.93532042225-849.935320422252
4772717807.70729364152-536.707293641519
4869567801.47926686079-845.479266860786
4976087795.25124008005-187.251240080053
5076927789.02321329932-97.0232132993204
5172557782.79518651859-527.795186518588
5268047776.56715973786-972.567159737855
5366557770.33913295712-1115.33913295712
5473417764.11110617639-423.111106176389
5576027757.88307939566-155.883079395657
5670867751.65505261492-665.655052614924
5766257745.42702583419-1120.42702583419
5862727739.19899905346-1467.19899905346
5965767732.97097227273-1156.97097227273
6064917726.74294549199-1235.74294549199
6176497720.51491871126-71.5149187112598
6274007714.28689193053-314.286891930527
6369137708.0588651498-795.058865149794
6465327701.83083836906-1169.83083836906
6564867695.60281158833-1209.60281158833
6672957689.3747848076-394.374784807596
6775567683.14675802686-127.146758026863
68708810749.3283615399-3661.32836153989
69695210743.1003347592-3791.10033475916
70677310736.8723079784-3963.87230797843
71691710730.6442811977-3813.64428119769
72737110724.4162544170-3353.41625441696
73822110718.1882276362-2497.18822763623
74795310711.9602008555-2758.96020085550
75802710705.7321740748-2678.73217407476
76728710699.5041472940-3412.50414729403
77807610693.2761205133-2617.2761205133
78893310687.0480937326-1754.04809373256
79943310680.8200669518-1247.82006695183
80947910674.5920401711-1195.5920401711
81919910668.3640133904-1469.36401339037
82946910662.1359866096-1193.13598660963
831001510655.9079598289-640.9079598289
841099910649.6799330482349.320066951832
851300910643.45190626742365.54809373256
861369910637.22387948673061.7761205133
871389510630.99585270603264.00414729403
881324810624.76782592522623.23217407476
891397310618.53979914453354.46020085550
901509510612.31177236384482.68822763623
911520110606.08374558304594.91625441696
921482310599.85571880234223.14428119769
931453810593.62769202163944.37230797843
941454710587.39966524083959.60033475916
951440710581.17163846013825.82836153989


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
60.01524008329626510.03048016659253010.984759916703735
70.004591339320602040.009182678641204090.995408660679398
80.0008610160754471550.001722032150894310.999138983924553
90.0002342348505175270.0004684697010350550.999765765149482
104.41000920688087e-058.82001841376173e-050.999955899907931
111.14187154927883e-052.28374309855766e-050.999988581284507
123.09248942198712e-066.18497884397423e-060.999996907510578
135.66760875860673e-050.0001133521751721350.999943323912414
145.2378818436127e-050.0001047576368722540.999947621181564
152.03736113583785e-054.0747222716757e-050.999979626388642
165.75733584987185e-061.15146716997437e-050.99999424266415
171.56855421723328e-063.13710843446656e-060.999998431445783
181.93542067172423e-063.87084134344845e-060.999998064579328
198.02807486677303e-071.60561497335461e-060.999999197192513
202.44863904515184e-074.89727809030368e-070.999999755136096
211.01608723441908e-072.03217446883816e-070.999999898391277
225.76438604762046e-081.15287720952409e-070.99999994235614
232.3849316806935e-084.769863361387e-080.999999976150683
241.46598065737051e-082.93196131474101e-080.999999985340193
257.71855427291519e-091.54371085458304e-080.999999992281446
262.68329386673462e-095.36658773346923e-090.999999997316706
279.96454786358733e-101.99290957271747e-090.999999999003545
289.31352448223389e-101.86270489644678e-090.999999999068648
297.2432908162088e-101.44865816324176e-090.999999999275671
303.01092403092351e-106.02184806184701e-100.999999999698908
311.27504891397803e-102.55009782795607e-100.999999999872495
327.60692079812584e-111.52138415962517e-100.999999999923931
338.0822823247571e-111.61645646495142e-100.999999999919177
346.92797311046796e-111.38559462209359e-100.99999999993072
354.25429197232622e-118.50858394465245e-110.999999999957457
362.65041834052225e-115.3008366810445e-110.999999999973496
372.17731838560015e-114.35463677120031e-110.999999999978227
382.52989059418776e-115.05978118837553e-110.9999999999747
391.93765499263936e-113.87530998527871e-110.999999999980623
402.42046559033218e-114.84093118066436e-110.999999999975795
412.91829157100462e-115.83658314200924e-110.999999999970817
423.08161338130817e-116.16322676261633e-110.999999999969184
433.936135483189e-117.872270966378e-110.999999999960639
445.7417751275504e-111.14835502551008e-100.999999999942582
459.0589802801297e-111.81179605602594e-100.99999999990941
461.79356867989256e-103.58713735978513e-100.999999999820643
472.97140150866394e-105.94280301732788e-100.99999999970286
485.51310641766996e-101.10262128353399e-090.99999999944869
491.59131876718285e-093.1826375343657e-090.999999998408681
507.41528441648192e-091.48305688329638e-080.999999992584716
512.33051164277520e-084.66102328555040e-080.999999976694883
526.31995357892066e-081.26399071578413e-070.999999936800464
531.51426139160157e-073.02852278320314e-070.99999984857386
546.03562723134238e-071.20712544626848e-060.999999396437277
555.52118504879695e-061.10423700975939e-050.999994478814951
561.87545504059333e-053.75091008118667e-050.999981245449594
573.65766268202646e-057.31532536405291e-050.99996342337318
585.51557518443365e-050.0001103115036886730.999944844248156
595.83800449889991e-050.0001167600899779980.999941619955011
604.83345956117284e-059.66691912234569e-050.999951665404388
610.0001861655047000860.0003723310094001710.9998138344953
620.0003432844082190950.0006865688164381910.99965671559178
630.0002649399824230.0005298799648460.999735060017577
640.0001609980184547010.0003219960369094030.999839001981545
650.0001008114524013300.0002016229048026600.999899188547599
666.73755909427882e-050.0001347511818855760.999932624409057
675.77299034565234e-050.0001154598069130470.999942270096543
680.0001023342959992450.000204668591998490.999897665704
690.0001153059135707400.0002306118271414810.99988469408643
708.16865735954318e-050.0001633731471908640.999918313426405
714.97001889223254e-059.94003778446507e-050.999950299811078
724.02249273909967e-058.04498547819934e-050.99995977507261
730.0001843415312827950.0003686830625655900.999815658468717
740.0002196741292205740.0004393482584411490.99978032587078
750.0002048662615669800.0004097325231339600.999795133738433
760.0001466149782040570.0002932299564081140.999853385021796
770.0001218345606740170.0002436691213480350.999878165439326
780.0002302597870394460.0004605195740788910.99976974021296
790.0006142675262919380.001228535052583880.999385732473708
800.001127796347536020.002255592695072050.998872203652464
810.002704675119577410.005409350239154820.997295324880423
820.01628858824793450.0325771764958690.983711411752066
830.1818624389636860.3637248779273720.818137561036314
840.8092651635408110.3814696729183780.190734836459189
850.9063846527594370.1872306944811260.0936153472405632
860.9189055296079470.1621889407841060.081094470392053
870.9021107319233690.1957785361532620.097889268076631
880.9581464911774330.08370701764513330.0418535088225666
890.9982398958172430.00352020836551350.00176010418275675


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level760.904761904761905NOK
5% type I error level780.928571428571429NOK
10% type I error level790.94047619047619NOK