Multiple Linear Regression - Estimated Regression Equation
Y[t] = -20975.9090114693 + 729.663124933304X[t] -739.925932000227M1[t] -810.905937388851M2[t] -751.494489025193M3[t] -381.362579415402M4[t] -761.283258554145M5[t] -425.773370194755M6[t] -590.816319326028M7[t] -773.893453448231M8[t] -228.600657584305M9[t] -585.677294222248M10[t] -448.101342111657M11[t] -86.799782107389t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-20975.909011469315020.830195-1.39650.169280.08464
X729.663124933304411.0296691.77520.082480.04124
M1-739.925932000227361.33308-2.04780.0463170.023158
M2-810.905937388851360.924335-2.24670.0294980.014749
M3-751.494489025193360.445791-2.08490.0426560.021328
M4-381.362579415402361.544004-1.05480.2970180.148509
M5-761.283258554145362.940294-2.09750.0414690.020735
M6-425.773370194755367.244965-1.15940.2522880.126144
M7-590.816319326028361.764758-1.63320.1092650.054632
M8-773.893453448231360.92585-2.14420.0373350.018668
M9-228.600657584305360.894558-0.63340.5295910.264796
M10-585.677294222248359.715325-1.62820.110320.05516
M11-448.101342111657358.441167-1.25010.2175710.108786
t-86.79978210738939.225203-2.21290.0319090.015955


Multiple Linear Regression - Regression Statistics
Multiple R0.618001316467757
R-squared0.381925627155881
Adjusted R-squared0.207252434830369
F-TEST (value)2.18651541241740
F-TEST (DF numerator)13
F-TEST (DF denominator)46
p-value0.0259702954238020
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation566.34944137796
Sum Squared Residuals14754577.7284599


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
155604961.40869697655598.591303023452
239224818.22217197927-896.222171979267
337594798.13046948487-1039.13046948487
441385088.75922823661-950.759228236606
546344629.33539823984.66460176019562
639964878.04550449181-882.045504491806
743084728.35561074381-420.355610743807
844294779.53046948487-350.530469484872
952195296.39653323607-77.3965332360716
1049294874.4100082387454.5899917612590
1157554990.85585948594764.144140514063
1255925468.90351947954123.096480520464
1341634642.17780537192-479.17780537192
1449624513.58454287324448.415457126761
1552084537.27262787484670.72737212516
1647554827.90138662657-72.9013866265736
1744914397.6640816271193.3359183728906
1857324675.560712876441056.43928712356
1957314759.3630191071971.636980892899
2050404664.6052528615375.394747138503
2161025225.2511041087876.748895891302
2249044861.6376291060342.362370893971
2353694963.49021785456405.509782145438
2455785339.3850403575238.614959642502
2546194527.2525887485591.7474112514548
2647314486.21890124186244.781098758136
2750114488.01709249547522.982907504535
2852994785.94248249653513.05751750347
2941464435.96812123973-289.968121239729
3046254699.2714899904-74.2714899903987
3147364520.39507124506215.604928754937
3242194600.75645498346-381.75645498346
3351165256.25851247199-140.258512471986
3442054819.67872497599-614.678724975991
3541214921.53131372452-800.531313724524
3651035290.12950497812-187.129504978124
3743004477.99705336917-177.997053369170
3845784349.40379087049228.596209129506
3938094365.79524462276-556.795244622759
4055264671.01726587316854.982734126839
4142474240.779960873696.22003912630821
4238304489.49006712569-659.490067125693
4343944347.0968046270346.9031953729692
4448264157.4828321401668.517167859899
4544094637.86573964464-228.865739644638
4645694296.14215838996272.857841610036
4741064354.2149596425-248.214959642503
4847944795.77946338943-1.77946338943394
4939143947.16385553382-33.1638555338176
5037933818.57059303514-25.5705930351362
5144054002.78456552206402.215434477936
5240224366.37963676713-344.379636767129
5341003914.25243801966185.747561980335
5447884228.63222551566559.36777448434
5531633976.789494277-813.789494276999
5635853896.62499053007-311.624990530069
5739034333.22811053861-430.228110538606
5841783933.13147928927244.868520710726
5938633983.90764929248-120.907649292476
6041874359.80247179541-172.802471795408


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
170.984479115264640.03104176947071740.0155208847353587
180.9684367981770310.06312640364593730.0315632018229686
190.979437422371510.04112515525697890.0205625776284895
200.9636423950111130.0727152099777750.0363576049888875
210.95560077644010.0887984471197980.044399223559899
220.9628788544359640.07424229112807140.0371211455640357
230.9738351909094510.05232961818109760.0261648090905488
240.9596665411097010.0806669177805980.040333458890299
250.9530616041226920.09387679175461580.0469383958773079
260.9241483153129250.1517033693741510.0758516846870754
270.8904506849655560.2190986300688870.109549315034444
280.8402385732477760.3195228535044480.159761426752224
290.8541301573002360.2917396853995290.145869842699764
300.8187237756488120.3625524487023760.181276224351188
310.7844613354441510.4310773291116980.215538664555849
320.7671943926498250.465611214700350.232805607350175
330.7359220787056220.5281558425887570.264077921294378
340.730002467626260.539995064747480.26999753237374
350.7600931237760920.4798137524478170.239906876223909
360.6758537411465330.6482925177069350.324146258853467
370.5885785150581610.8228429698836780.411421484941839
380.4734946841261840.9469893682523670.526505315873816
390.5531914511869670.8936170976260660.446808548813033
400.6468219669757910.7063560660484180.353178033024209
410.5208724639864110.9582550720271780.479127536013589
420.894929391189210.2101412176215800.105070608810790
430.9139963626461630.1720072747076730.0860036373538365


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level20.0740740740740741NOK
10% type I error level90.333333333333333NOK