Multiple Linear Regression - Estimated Regression Equation
x[t] = + 7.53923727288653 + 0.826888794540061y0[t] + 0.069050797530038y1[t] -0.0217694593981442y2[t] + 2.53073445567753M1[t] + 1.28398056947326M2[t] + 6.14157249017446M3[t] -0.388146101513589M4[t] + 4.19313623427351M5[t] + 1.84968635378636M6[t] -2.19663690001674M7[t] -0.985667763809098M8[t] + 3.69010557347512M9[t] + 9.24640884194022M10[t] + 4.94710351660652M11[t] -0.0551774169632081t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)7.539237272886536.6627941.13150.2608660.130433
y00.8268887945400610.1064347.76900
y10.0690507975300380.1376210.50170.6170850.308543
y2-0.02176945939814420.107522-0.20250.8400150.420007
M12.530734455677535.310120.47660.6348240.317412
M21.283980569473265.357860.23960.8111570.405579
M36.141572490174465.3354421.15110.2527780.126389
M4-0.3881461015135895.338231-0.07270.94220.4711
M54.193136234273515.3074460.790.43160.2158
M61.849686353786365.3742240.34420.7315250.365762
M7-2.196636900016745.299369-0.41450.6794990.339749
M8-0.9856677638090985.381707-0.18320.8550960.427548
M93.690105573475125.4390810.67840.4992510.249626
M109.246408841940225.4881481.68480.0955320.047766
M114.947103516606525.4508760.90760.3665510.183276
t-0.05517741696320810.041184-1.33980.1837250.091863


Multiple Linear Regression - Regression Statistics
Multiple R0.903067366036784
R-squared0.815530667600615
Adjusted R-squared0.78444033067937
F-TEST (value)26.2310012807659
F-TEST (DF numerator)15
F-TEST (DF denominator)89
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation10.8315560323775
Sum Squared Residuals10441.7119413455


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1108.8235294107.5660922176641.25743718233622
2111.7647059104.1102605472637.65444535273689
3117.6470588111.0135547138156.63350408618513
4111.7647059109.5598288091052.20487709089501
5120.5882353109.56403536608711.0241999339127
6102.9411765113.927248856071-10.9860723560715
7114.705882495.970920391717418.7349620082826
8114.7058824105.444188641519.26169375848992
9117.6470588111.2613138169766.38574498302432
10111.7647059118.938354188982-7.17364828898211
1197.05882353109.922910324241-12.8640867942415
1294.1176470692.29029106577381.82735599422621
1382.3529411891.4464249752709-9.09348379527088
1482.3529411880.53343873710931.81950244289065
1585.2941176584.58751873887350.706598911126541
1685.2941176580.69075988301594.60335776698413
1773.5294117685.4199553827698-11.8905436227698
1861.7647058873.2291967920726-11.4644909120726
1932.3529411858.5872303336638-26.2342891536638
2020.5882352934.8665123583125-14.2782770683125
215027.984210284817922.0157897151821
2270.5882352957.633510695721312.9547245942787
2376.4705882472.59022611127443.88036212872557
2479.4117647173.23335276641786.17841194358217
2573.5294117678.0989220812656-4.56951032126561
2676.4705882472.0079739754334.46261426456703
2773.5294117678.7722053689506-5.24279360895062
2870.5882352970.08642971155380.501805578446237
2964.7058823571.913390360985-7.20750801098503
3064.7058823564.5116485729530.194233777047068
3164.7058823560.06799456207294.63788778792709
3261.7647058861.35184192481020.412863955189781
335063.5404119793233-13.5404119793233
3447.0588235359.1103437866636-12.0515202566636
3535.2941176551.5755006765849-16.2813830265849
3620.5882352936.8981369858392-16.3099016958392
3741.1764705926.465230185271314.7112404047287
3847.0588235341.42813833267295.63068519732714
3944.1176470652.8363777441776-8.71873068417762
4035.2941176543.7774422791358-8.48332462913585
4141.1764705940.67632337611310.500147213886919
4258.8235294142.596503889234716.2270255207653
4329.4117647153.6854230404153-24.2736583304153
4455.8823529431.611443943668324.2709089963316
4555.8823529455.70519991648090.177153023519054
4664.7058823563.6744192138181.031463136182
4770.5882352966.03976367322684.5484716167732
4864.7058823566.5108062140631-1.80492386406311
4961.7647058864.3364092177825-2.57170333778247
5055.8823529460.068215243454-4.18586230345405
5173.5294117659.93154307813913.5978686818609
5261.7647058867.5966489242215-5.83194304422145
5367.6470588263.74124950888713.90580931111286
5467.6470588265.01014468885362.63691413114641
5555.8823529461.5709364669332-5.68858352693322
5652.9411764752.87056907945320.0706073905468203
5755.8823529454.2467768102461.63557612975403
5855.8823529462.2329492336114-6.35059629361144
5964.7058823558.1455848939916.56029745600893
6067.6470588260.37535373609867.27170508390143
6158.8235294165.892208383411-7.06867897341103
6241.1764705957.3052065985106-16.1287360085106
6341.1764705946.8421663428646-5.66569575286456
6441.1764705939.23081031387211.94566027612786
6544.1176470644.1410821631747-0.0234351031746805
6632.3529411844.1744807315322-11.8215395515322
675030.547967178464419.4520328215356
6847.0588235345.41952394708951.63929958291055
6958.8235294149.08274877416889.74078063583118
7070.5882352963.72472057749366.86351471250644
7167.6470588269.974731443895-2.32767262389501
7258.8235294163.096675681252-4.27314627125194
7361.7647058857.81695325462673.94775262537328
7455.8823529458.4018038962233-2.51945095622334
7567.6470588258.7353407145158.91171810548505
7667.6470588261.40833918548876.23871963451133
7767.6470588266.87486207152580.772196748474231
7867.6470588264.22012348708963.42693533291036
7979.4117647160.118622816323319.2931418936767
8076.4705882471.00251800706825.46807023293176
815074.0034503859922-24.0034503859922
8270.5882352957.157141568820613.4310937211794
8376.4705882468.06305247986428.40753576013584
8470.5882352969.92270774862530.665527541374659
8579.4117647167.492199457780611.9195652522194
8679.4117647172.95210895404446.4596557559556
8776.4705882478.4918508449737-2.02126260497373
8870.5882352969.28284550505761.30538978494244
8967.6470588268.7418081030667-1.09474928306669
9067.6470588263.56900159900424.07805722099579
9170.5882352959.392465991018411.1957692989816
925063.0443113978172-13.0443113978172
9361.7647058850.84381683841310.920889041587
9455.8823529464.5873842648895-8.70503132488945
9564.7058823556.62940686692228.07647548307782
9664.7058823558.26091108193026.4449712680698
9752.9411764761.4737955069276-8.53261903692764
9847.0588235350.2516772752893-3.19285374528927
9941.1764705949.3776777236911-8.20120713369113
10035.2941176537.7786601085497-2.48454245854970
10141.1764705937.16258777739054.01388281260949
10247.0588235339.34988669318877.70893683681133
10323.5294117640.6466745593912-17.1172627993912
1048.82352941222.6243848622709-13.8008554502709
105013.3320711635821-13.3320711635821


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
190.2819121215958110.5638242431916220.71808787840419
200.184506245011640.369012490023280.81549375498836
210.91322191865730.1735561626853990.0867780813426997
220.9362205655017960.1275588689964090.0637794344982045
230.9066538147724520.1866923704550960.0933461852275478
240.8605466987208980.2789066025582040.139453301279102
250.8412620369712090.3174759260575820.158737963028791
260.80939091141260.38121817717480.1906090885874
270.741095454065890.517809091868220.25890454593411
280.6834099325012120.6331801349975760.316590067498788
290.6104871655344140.7790256689311730.389512834465586
300.6475126953277530.7049746093444930.352487304672246
310.5965626301949580.8068747396100850.403437369805042
320.5186776746447130.9626446507105740.481322325355287
330.616626446311830.7667471073763410.383373553688171
340.5737431661033690.8525136677932620.426256833896631
350.5911864595334120.8176270809331750.408813540466588
360.6727025235556520.6545949528886960.327297476444348
370.8087907145698780.3824185708602450.191209285430122
380.7850940862631030.4298118274737940.214905913736897
390.7488161008353490.5023677983293020.251183899164651
400.710220311646880.579559376706240.28977968835312
410.675791304119680.648417391760640.32420869588032
420.789067031454890.4218659370902220.210932968545111
430.9065499199566680.1869001600866640.0934500800433318
440.9777633063525320.04447338729493710.0222366936474685
450.9685379575176030.06292408496479390.0314620424823969
460.9570717012942150.08585659741157030.0429282987057852
470.9599749559529850.08005008809402930.0400250440470147
480.9470488589068280.1059022821863440.052951141093172
490.928943379179810.1421132416403800.0710566208201902
500.9047724174372760.1904551651254480.095227582562724
510.926324736000990.1473505279980200.0736752639990101
520.9066549967777040.1866900064445920.0933450032222958
530.8801916529257280.2396166941485440.119808347074272
540.850514063951760.2989718720964790.149485936048240
550.8603822250494780.2792355499010430.139617774950522
560.8205273522073340.3589452955853310.179472647792666
570.7727245990087060.4545508019825890.227275400991294
580.745291649205710.5094167015885790.254708350794290
590.715642895482340.568714209035320.28435710451766
600.6759332666277410.6481334667445180.324066733372259
610.6490976897723670.7018046204552650.350902310227632
620.7377642409892780.5244715180214440.262235759010722
630.730923203372950.5381535932540990.269076796627049
640.6922255511251050.6155488977497910.307774448874896
650.6380982445144660.7238035109710680.361901755485534
660.7545587851990030.4908824296019930.245441214800997
670.7771254244709760.4457491510580490.222874575529024
680.7186500189573750.562699962085250.281349981042625
690.7669577588499590.4660844823000820.233042241150041
700.7543121185048780.4913757629902440.245687881495122
710.7047673008632450.5904653982735110.295232699136755
720.7335312375449960.5329375249100070.266468762455004
730.7181682030069910.5636635939860180.281831796993009
740.7248586874577710.5502826250844580.275141312542229
750.6589601431749350.682079713650130.341039856825065
760.5836447241110870.8327105517778260.416355275888913
770.4972357464483330.9944714928966660.502764253551667
780.5116433814207810.9767132371584390.488356618579219
790.4661901669546490.9323803339092970.533809833045351
800.525718234045740.948563531908520.47428176595426
810.7452407093023630.5095185813952740.254759290697637
820.6551944233678660.6896111532642680.344805576632134
830.5563576030765890.8872847938468230.443642396923411
840.6096911080358810.7806177839282390.390308891964119
850.4665561751272390.9331123502544790.533443824872761
860.3112220162112260.6224440324224520.688777983788774


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level10.0147058823529412OK
10% type I error level40.0588235294117647OK