Multiple Linear Regression - Estimated Regression Equation
Y[t] = -96.5555117821981 -360.738224795812X[t] + 1.00748531201206Y1[t] + 0.166310440331208Y2[t] -0.188431146174605Y3[t] + 100.779769951900M1[t] + 36.3284441219571M2[t] -83.1206506007616M3[t] + 92.1137994899325M4[t] + 216.725669303820M5[t] + 77.7633337740983M6[t] + 90.034499607901M7[t] + 29.6711390219347M8[t] + 179.016831664903M9[t] + 107.290835612820M10[t] -19.5422145209566M11[t] + 3.32000008834032t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-96.5555117821981127.205611-0.75910.4498740.224937
X-360.738224795812107.986594-3.34060.0012330.000617
Y11.007485312012060.1046139.630600
Y20.1663104403312080.1493161.11380.2684250.134213
Y3-0.1884311461746050.106365-1.77160.0799710.039985
M1100.779769951900126.6373130.79580.4283060.214153
M236.3284441219571126.7031620.28670.7750080.387504
M3-83.1206506007616126.351095-0.65790.5123680.256184
M492.1137994899325127.5150340.72240.4720010.236
M5216.725669303820128.4144821.68770.095050.047525
M677.7633337740983127.4481630.61020.5433490.271674
M790.034499607901126.6731350.71080.4791330.239566
M829.6711390219347126.7956520.2340.8155290.407764
M9179.016831664903130.3069571.37380.1730310.086515
M10107.290835612820131.7904320.81410.4178090.208905
M11-19.5422145209566130.385552-0.14990.8812060.440603
t3.320000088340321.5152482.19110.031120.01556


Multiple Linear Regression - Regression Statistics
Multiple R0.991885608386146
R-squared0.983837060123556
Adjusted R-squared0.980864565433635
F-TEST (value)330.980258252291
F-TEST (DF numerator)16
F-TEST (DF denominator)87
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation259.673901397968
Sum Squared Residuals5866456.55085003


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
15246.245106.26368621096139.976313789040
25283.615164.66253796491118.947462035086
34979.055051.74180723946-72.6918072394601
44825.24915.32252016608-90.122520166081
54695.124830.55959517543-135.439595175435
64711.544595.66529898151115.874701018495
74727.224635.1558434875792.0641565124338
84384.964621.15179360692-236.191793606921
94378.754428.50927173319-49.7592717331867
104472.934293.97078030207178.959219697929
114564.074328.80235319720235.267646802804
124310.544460.32005383141-149.780053831408
134171.384306.40316090229-135.023160902292
144049.384045.731878541573.64812145843335
153591.373831.31876345487-239.948763454874
163720.463554.36707046051166.092929539488
174107.233759.17197434758348.058025652417
184101.714120.96709703489-19.2570970348935
194162.344170.99625638195-8.6562563819518
204136.224101.2391823150434.9808176849629
214125.884238.71290062076-112.832900620756
224031.484144.12089743679-112.640897436791
233761.363928.70340552247-167.343405522471
243408.563665.67236013525-257.112360135249
253228.473387.19543615425-158.725436154250
263090.453136.85077842823-46.4007784282287
272741.142918.1962222011-177.056222201099
282980.442755.80637618127224.633623818730
293104.333092.7428481309111.5871518690903
303181.573187.53684003621-5.96684003621169
312863.863256.45879863122-392.598798631217
322898.012868.8283633658529.1816366341508
333112.332988.50676777422123.823232225784
343254.333201.5709848693452.7590151306578
353513.473250.32957905954263.140420940459
363587.613517.5030567025370.1069432974656
373727.453712.6382525259914.8117474740144
383793.343755.8938816426237.4461183573824
393817.583715.43456101525102.145438984755
403845.133903.01843858982-57.8884385898188
413931.864050.32216569016-118.462165690162
424197.524002.07331300744195.44668699256
434307.134294.5458533315212.5841466684760
444229.434375.77235615421-146.342356154205
454362.284418.32710921413-56.0471092141354
464217.344450.18927780526-232.849277805261
474361.284217.38674869256143.893251307436
484327.744336.12828612198-8.38828612197622
494417.654457.68693390515-40.0369339051536
504557.684454.43778121747103.242218782527
514650.354500.65980715702149.690192842980
524967.184778.92452780723188.255472192767
535123.425215.08394422091-91.6639442209063
545290.855272.0813364224318.7686635775745
555535.665422.6394712896113.020528710403
565514.065610.64346477198-96.5834647719775
575493.885750.7129068573-256.832906857296
585694.835612.2537228909982.5762771090105
595850.415691.90881436587158.501185634134
606116.645908.73821733236207.901782667641
6161756269.07014147252-94.070141472515
626513.586281.69636934747231.883630652532
636383.786466.2215049058-82.4415049057986
646673.666559.31690878226114.343091217743
656936.616893.9125083037542.6974916962457
667300.687095.85686887262204.823131127381
677392.937467.35212197099-74.4221219709918
687497.317514.24995363125-16.9399536312489
697584.717718.81697396314-134.106973963144
707160.797738.44190479642-577.651904796418
717196.197182.7027707300713.4872292699298
727245.637154.2587613437391.3712386562724
737347.517393.93572628391-46.4257262839081
747425.757436.99892972549-11.2489297254887
757778.517407.323157697371.186842302995
767822.337935.09289022066-112.762890220661
778181.228151.0975845497930.1224154502077
788371.478317.8484051071853.6215948928178
798347.718576.54375274472-228.833752744716
808672.118459.57704845609212.532951543911
818802.798899.27041478213-96.480414782126
829138.469020.95083026867117.509169731327
839123.299196.22675942976-72.9367594297645
849023.218874.26844038391148.941559616092
858850.418811.7654681817338.6445318182745
868864.588562.75483214356301.825167856441
879163.748451.02154940031712.718450599686
888516.668965.89282651934-449.232826519343
898553.448488.98446271364.4555372870072
907555.28226.4102156283-671.210215628304
917851.227364.33616774957486.883832250433
9274427432.580377801239.41962219877333
937992.537410.29365505514582.23634494486
948264.047772.70160163046491.338398369546
957517.398091.39956900253-574.009569002527
967200.47303.44082414884-103.040824148837
977193.696912.84119436321280.848805636791
986193.586932.92301098868-739.343010988684
995104.215867.81262692919-763.602626929185
1004800.464783.7784412728316.6815587271750
1014461.614612.96491686846-151.354916868464
1024398.594290.69062490942107.899375090581
1034243.634243.67173441287-0.0417344128685802
1044293.824083.87745989745209.942540102554


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
200.4564877642622630.9129755285245260.543512235737737
210.2914223529964070.5828447059928130.708577647003593
220.1733209695493340.3466419390986680.826679030450666
230.1080757960792910.2161515921585810.89192420392071
240.0625615029996620.1251230059993240.937438497000338
250.03223092471063320.06446184942126640.967769075289367
260.01807591019602110.03615182039204230.981924089803979
270.009258549585768180.01851709917153640.990741450414232
280.004791425641655890.009582851283311780.995208574358344
290.003362215133602330.006724430267204650.996637784866398
300.001451672908383170.002903345816766350.998548327091617
310.004850688893057740.009701377786115470.995149311106942
320.003772563910587990.007545127821175970.996227436089412
330.002360927203215940.004721854406431880.997639072796784
340.001153583648382790.002307167296765580.998846416351617
350.001837166956983270.003674333913966550.998162833043017
360.002661772005965480.005323544011930960.997338227994035
370.0020276181427550.004055236285510.997972381857245
380.001127329879020230.002254659758040450.99887267012098
390.001388259501634860.002776519003269720.998611740498365
400.001037222740214540.002074445480429070.998962777259785
410.000539898461966850.00107979692393370.999460101538033
420.0005168591122040570.001033718224408110.999483140887796
430.0002689024825672040.0005378049651344070.999731097517433
440.0001533232769094600.0003066465538189210.99984667672309
457.55477790420018e-050.0001510955580840040.999924452220958
466.92759054298304e-050.0001385518108596610.99993072409457
474.54979766963736e-059.09959533927471e-050.999954502023304
482.36515345451589e-054.73030690903178e-050.999976348465455
491.14716920525279e-052.29433841050558e-050.999988528307947
505.48205944314602e-061.09641188862920e-050.999994517940557
514.31587220125221e-068.63174440250441e-060.9999956841278
522.14771625802605e-064.29543251605209e-060.999997852283742
531.10077700015232e-062.20155400030465e-060.999998899223
544.50160445991516e-079.00320891983031e-070.999999549839554
552.5823181397344e-075.1646362794688e-070.999999741768186
561.37922311723677e-072.75844623447354e-070.999999862077688
571.54505632811504e-073.09011265623009e-070.999999845494367
589.16343385747625e-081.83268677149525e-070.999999908365661
593.97702632624459e-087.95405265248919e-080.999999960229737
604.6070535911162e-089.2141071822324e-080.999999953929464
612.71130369707650e-085.42260739415299e-080.999999972886963
622.19039894187291e-084.38079788374581e-080.99999997809601
631.19248270250692e-082.38496540501385e-080.999999988075173
645.02990076142499e-091.00598015228500e-080.9999999949701
651.76251584175015e-093.52503168350029e-090.999999998237484
661.06802449132289e-092.13604898264578e-090.999999998931975
674.49446103846945e-108.9889220769389e-100.999999999550554
681.76704459993446e-103.53408919986893e-100.999999999823296
691.47227990370749e-102.94455980741498e-100.999999999852772
702.54015830053602e-075.08031660107205e-070.99999974598417
711.83538436984950e-073.67076873969901e-070.999999816461563
721.18684498997847e-072.37368997995694e-070.9999998813155
733.38572684866247e-076.77145369732495e-070.999999661427315
743.86943844592037e-077.73887689184075e-070.999999613056155
759.30987004694379e-071.86197400938876e-060.999999069012995
769.02001882648798e-071.80400376529760e-060.999999097998117
774.26422991027671e-078.52845982055343e-070.99999957357701
782.00195270349507e-074.00390540699014e-070.99999979980473
791.16391849366838e-072.32783698733677e-070.99999988360815
807.98080095064588e-081.59616019012918e-070.99999992019199
815.72677547212754e-081.14535509442551e-070.999999942732245
821.14939752107190e-072.29879504214381e-070.999999885060248
833.78977711450038e-087.57955422900076e-080.999999962102229
842.55721635218840e-085.11443270437679e-080.999999974427837


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level570.876923076923077NOK
5% type I error level590.907692307692308NOK
10% type I error level600.923076923076923NOK