Multiple Linear Regression - Estimated Regression Equation
Y[t] = + 14777846.6460840 -5435351.76592437X[t] -972195.513708682M1[t] + 1000225.61833893M2[t] + 2238343.42157142M3[t] + 1686531.61561905M4[t] + 888521.409666667M5[t] + 928532.133714285M6[t] + 264428.631761904M7[t] + 2236060.05980952M8[t] + 727773.619857142M9[t] + 619602.179904761M10[t] + 1655201.76395238M11[t] + 119862.627952381t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)14777846.6460840686873.99893121.514600
X-5435351.76592437603979.003702-8.999200
M1-972195.513708682768267.289565-1.26540.2120860.106043
M21000225.61833893766583.7818121.30480.1984570.099228
M32238343.42157142775923.0290462.88470.0059430.002971
M41686531.61561905772771.4949392.18240.034220.01711
M5888521.409666667769980.0174421.1540.2544790.12724
M6928532.133714285767552.5249871.20970.2325630.116281
M7264428.631761904765492.4803360.34540.7313410.365671
M82236060.05980952763802.8566152.92750.0052960.002648
M9727773.619857142762486.1163190.95450.3448330.172416
M10619602.179904761761544.1936420.81360.4200580.210029
M111655201.76395238760978.4804072.17510.03480.0174
t119862.62795238116944.1359187.07400


Multiple Linear Regression - Regression Statistics
Multiple R0.8369133092218
R-squared0.700423887152586
Adjusted R-squared0.61576107265223
F-TEST (value)8.27309948631155
F-TEST (DF numerator)13
F-TEST (DF denominator)46
p-value3.12367016697124e-08
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation1202914.31937307
Sum Squared Residuals66562131548627.2


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
114731798.3713925513.7603277806284.60967227
216471559.6216017797.5203277453762.099672268
315213975.9517375777.9515126-2161802.00151261
417637387.416943828.7735126693558.626487397
517972385.8316265681.19551261706704.63448739
616896235.5516425554.5475126470681.002487396
716697955.9415881313.6735126816642.266487394
819691579.5217972807.72951261718771.79048740
915930700.7516584383.9175126-653683.167512603
1017444615.9816596075.1055126848540.874487393
1117699369.8817751537.3175126-52167.4375126055
1215189796.8116216198.1815126-1026401.37151260
1315672722.7515363865.2957563308857.454243697
1417180794.317456149.0557563-275354.755756299
1517664893.4518814129.4869412-1149236.03694118
1617862884.9818382180.3089412-519295.328941176
1716162288.8817704032.7309412-1541743.85094118
1817463628.8217863906.0829412-400277.262941176
1916772112.1717319665.2089412-547553.038941176
2019106861.4819411159.2649412-304297.784941177
2116721314.2518022735.4529412-1301421.20294118
2218161267.8518034426.6409412126841.209058825
2318509941.219189888.8529412-679947.652941176
2417802737.9717654549.7169412148188.253058822
2516409869.7516802216.8311849-392347.081184874
2617967742.0418894500.5911849-926758.551184874
2720286602.2720252481.022369734121.2476302537
2819537280.8119820531.8443697-283251.034369749
2918021889.6219142384.2663697-1120494.64636975
3020194317.2319302257.6183697892059.611630253
3119049596.6218758016.7443697291579.875630253
3220244720.9420849510.8003697-604789.860369747
3321473302.2419461086.98836972012215.25163025
3419673603.1919472778.1763697200825.013630254
3521053177.2920628240.3883697424936.901630252
3620159479.8419092901.25236981066578.58763025
3718203628.3118240568.3666134-36940.0566134465
3821289464.9420332852.1266134956612.813386555
3920432335.7116255480.79187394176854.91812605
4017180395.0715823531.61387391356863.45612605
4115816786.3215145384.0358739671402.28412605
4215071819.7515305257.3878739-233437.63787395
4314521120.6114761016.5138739-239895.903873950
4415668789.3916852510.5698740-1183721.17987395
4514346884.1115464086.7578739-1117202.64787395
4613881008.1315475777.9458739-1594769.81587395
4715465943.6916631240.1578739-1165296.46787395
4814238232.9215095901.0218740-857668.10187395
4913557713.2114243568.1361176-685854.926117647
5016127590.2916335851.8961176-208261.606117648
5116793894.217693832.3273025-899938.12730252
5216014007.4317261883.1493025-1247875.71930252
5316867867.1516583735.5713025284131.578697477
5416014583.2116743608.9233025-729025.71330252
5515878594.8516199368.0493025-320773.199302521
5618664899.1418290862.1053025374037.034697479
5717962530.0616902438.29330251060091.76669748
5817332692.216914129.4813025418562.718697479
5919542066.3518069591.69330251472474.65669748
6017203555.1916534252.5573025669302.63269748


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
170.652202364203140.6955952715937210.347797635796861
180.4819448101516920.9638896203033850.518055189848308
190.336824977058290.673649954116580.66317502294171
200.2540091420058400.5080182840116810.74599085799416
210.1830322177321000.3660644354641990.8169677822679
220.1134929664883920.2269859329767840.886507033511608
230.06826741669288980.1365348333857800.93173258330711
240.1005213182145080.2010426364290160.899478681785492
250.05919444501641920.1183888900328380.94080555498358
260.03633374315077340.07266748630154680.963666256849227
270.1320920212751280.2641840425502560.867907978724872
280.08974223048958360.1794844609791670.910257769510416
290.08618608716798710.1723721743359740.913813912832013
300.08208146145419120.1641629229083820.917918538545809
310.05452579957424660.1090515991484930.945474200425753
320.03970745731256410.07941491462512810.960292542687436
330.1320379623690930.2640759247381860.867962037630907
340.08437075701074790.1687415140214960.915629242989252
350.05973255453200370.1194651090640070.940267445467996
360.04771481693939970.09542963387879940.9522851830606
370.0267111126974360.0534222253948720.973288887302564
380.01743093290328170.03486186580656350.982569067096718
390.1938951411821710.3877902823643420.806104858817829
400.6278315605477120.7443368789045770.372168439452288
410.6702138910446440.6595722179107120.329786108955356
420.819905378818380.3601892423632390.180094621181619
430.9618857249630970.07622855007380560.0381142750369028


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level10.0370370370370370OK
10% type I error level60.222222222222222NOK