Multiple Linear Regression - Estimated Regression Equation
SKIA[t] = + 84.3431696197983 -49.4381863504682x[t] + 2.03101643765592M1[t] -9.72842470770787M2[t] -24.4076067602814M3[t] -8.39016414129262M4[t] -12.4353195723707M5[t] -7.76618928916308M6[t] + 1.90294099404455M7[t] -12.8565001513193M8[t] -13.4597718020038M9[t] -12.8826746400687M10[t] -7.5452752032116M11[t] -0.0977017117790545t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)84.34316961979839.0786699.290300
x-49.43818635046825.503078-8.983700
M12.0310164376559211.0270330.18420.8544330.427216
M2-9.7284247077078711.013738-0.88330.3802810.19014
M3-24.407606760281410.913126-2.23650.0287010.014351
M4-8.3901641412926210.990601-0.76340.4479480.223974
M5-12.435319572370710.980767-1.13250.2615370.130769
M6-7.7661892891630810.972092-0.70780.4815540.240777
M71.9029409940445510.9645810.17360.8627480.431374
M8-12.856500151319310.958234-1.17320.2449210.122461
M9-13.459771802003811.292727-1.19190.237570.118785
M10-12.882674640068711.457683-1.12440.2649290.132464
M11-7.545275203211611.633276-0.64860.5188510.259426
t-0.09770171177905450.113246-0.86270.3914060.195703


Multiple Linear Regression - Regression Statistics
Multiple R0.8285933081517
R-squared0.686566870313778
Adjusted R-squared0.624830041739219
F-TEST (value)11.1208639343146
F-TEST (DF numerator)13
F-TEST (DF denominator)66
p-value4.18853840500333e-12
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation19.5507225404839
Sum Squared Residuals25227.2296224290


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
13736.8382979952070.161702004792961
23024.98115513806415.01884486193589
34759.6424577241797-12.6424577241797
43526.12401228092138.87598771907875
53021.98115513806418.01884486193588
64375.9907700599609-32.9907700599609
78285.5621986313895-3.5621986313895
84070.7050557742466-30.7050557742466
94770.004082411783-23.004082411783
101921.0452915114709-2.04529151147085
115275.7231755870171-23.7231755870171
1213683.170749078449752.8292509215503
138085.1040638043265-5.10406380432654
144273.2469209471837-31.2469209471837
155458.4700371828311-4.47003718283109
166674.3897780900408-8.38977809004084
178170.246920947183710.7530790528163
186374.8183495186123-11.8183495186123
1913784.389778090040852.6102219099592
207269.5326352328982.46736476710202
2110768.831661870434338.1683381295657
225869.3110573205904-11.3110573205904
233625.112568695200210.8874313047998
245281.998328537101-29.998328537101
257983.9316432629779-4.93164326297789
267772.0745004058354.92549959416496
275457.2976166414824-3.29761664148243
288473.217357548692210.7826424513078
294869.074500405835-21.0745004058350
309673.645928977263622.3540710227364
318383.2173575486922-0.217357548692188
326668.3602146915493-2.36021469154933
336167.6592413290857-6.6592413290857
345368.1386367792418-15.1386367792418
353023.94014815385166.05985184614842
367480.8259079957524-6.82590799575236
376982.7592227216292-13.7592227216292
385970.9020798644864-11.9020798644864
394256.1251961001338-14.1251961001338
406572.0449370073435-7.04493700734353
417067.90207986448642.09792013551361
4210072.47350843591527.5264915640850
436382.0449370073435-19.0449370073435
4410567.187794150200737.8122058497993
458266.48682078773715.5131792122630
468166.966216237893114.0337837621069
477572.20591396297122.79408603702883
4810279.653487454403722.3465125455963
4912181.586802180280639.4131978197194
509869.729659323137828.2703406768623
517654.952775558785121.0472244412149
527770.87251646599496.12748353400512
536366.7296593231377-3.72965932313773
543721.862901544098115.1370984559019
553531.43433011552663.56566988447336
562316.57718725838386.42281274161622
574065.3144002463884-25.3144002463884
582916.355609346076212.6443906539238
593721.595307071154315.4046929288457
605178.481066913055-27.4810669130551
612030.9761952884637-10.9761952884637
622819.11905243132088.88094756867917
63134.342168666968248.65783133303176
642220.2619095741781.73809042582202
652516.11905243132088.88094756867917
661320.6904810027494-7.69048100274941
671630.261909574178-14.2619095741780
681315.4047667170351-2.40476671703513
691614.70379335457151.29620664542850
701715.18318880472761.81681119527242
71920.4228865298056-11.4228865298056
721727.8704600212382-10.8704600212382
732529.8037747471150-4.80377474711503
741417.9466318899722-3.94663188997218
7583.169748125619584.83025187438042
76719.0894890328293-12.0894890328293
771014.9466318899722-4.94663188997219
78719.5180604614008-12.5180604614008
791029.0894890328293-19.0894890328293
80314.2323461756865-11.2323461756865


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
170.2800873472415970.5601746944831950.719912652758403
180.1758596446371700.3517192892743400.82414035536283
190.4386295460251620.8772590920503250.561370453974838
200.3125351421425850.6250702842851690.687464857857415
210.4381611964139220.8763223928278440.561838803586078
220.3413551882430080.6827103764860160.658644811756992
230.4847381803288610.9694763606577220.515261819671139
240.9940525841869990.01189483162600270.00594741581300134
250.9901421248289360.01971575034212880.0098578751710644
260.983736225300730.03252754939853880.0162637746992694
270.9771851089783730.04562978204325330.0228148910216266
280.963880724219790.07223855156041910.0361192757802095
290.977016647997260.04596670400548180.0229833520027409
300.974451177814850.05109764437030080.0255488221851504
310.9794373585466250.04112528290674910.0205626414533746
320.9716042424054770.05679151518904610.0283957575945230
330.9669953739705740.06600925205885280.0330046260294264
340.9700642473103460.05987150537930870.0299357526896543
350.9558237438692910.08835251226141720.0441762561307086
360.9504154293869320.0991691412261360.049584570613068
370.9597891813747960.08042163725040780.0402108186252039
380.9735766389096420.05284672218071510.0264233610903576
390.9912823750963890.01743524980722280.0087176249036114
400.9927076290693570.01458474186128570.00729237093064286
410.9918757496922630.01624850061547320.0081242503077366
420.9910861081448280.01782778371034430.00891389185517214
430.9973054578098020.005389084380395820.00269454219019791
440.998607956122550.002784087754899200.00139204387744960
450.9977467132807860.004506573438428640.00225328671921432
460.9963286210930350.00734275781393060.0036713789069653
470.994290559885210.01141888022957980.0057094401147899
480.9960568980541730.007886203891654120.00394310194582706
490.9998656542676270.0002686914647466290.000134345732373315
500.9999711558293715.76883412570502e-052.88441706285251e-05
510.9999822674062553.54651874895263e-051.77325937447631e-05
520.9999960493616457.90127671075527e-063.95063835537764e-06
530.9999920652564481.58694871039703e-057.93474355198514e-06
540.999987675061372.46498772618967e-051.23249386309483e-05
550.9999716635947035.66728105947067e-052.83364052973534e-05
560.9998986637676410.0002026724647175320.000101336232358766
570.9997963086430230.0004073827139541260.000203691356977063
580.9992635645849620.001472870830075230.000736435415037614
590.9997654090370250.0004691819259508270.000234590962975413
600.9991440900128860.001711819974227460.000855909987113732
610.999661964529160.0006760709416794130.000338035470839707
620.9983556861583840.003288627683232700.00164431384161635
630.992900386556360.01419922688727990.00709961344363993


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level190.404255319148936NOK
5% type I error level310.659574468085106NOK
10% type I error level400.851063829787234NOK