Multiple Linear Regression - Estimated Regression Equation
Y[t] = + 9128.86904445696 + 0.213587516625750X[t] + 271.322214098642M1[t] -710.28396584075M2[t] + 192.138024434725M3[t] -428.591426532646M4[t] -587.75207140093M5[t] -642.310737709253M6[t] -92.4306817753984M7[t] -353.006262562185M8[t] -335.761080711350M9[t] + 105.537806513191M10[t] -408.611329287392M11[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)9128.86904445696442.16847220.645700
X0.2135875166257500.1752431.21880.2290.1145
M1271.322214098642302.5254110.89690.3743660.187183
M2-710.28396584075264.090333-2.68950.0098720.004936
M3192.138024434725263.577940.7290.4696430.234821
M4-428.591426532646315.919282-1.35660.1813740.090687
M5-587.75207140093487.407022-1.20590.2339010.116951
M6-642.310737709253567.73567-1.13140.2636450.131823
M7-92.4306817753984582.408115-0.15870.8745820.437291
M8-353.006262562185685.734879-0.51480.6091160.304558
M9-335.761080711350572.428687-0.58660.5603090.280155
M10105.537806513191299.4102640.35250.726050.363025
M11-408.611329287392270.302608-1.51170.137310.068655


Multiple Linear Regression - Regression Statistics
Multiple R0.697057008729458
R-squared0.48588847341886
Adjusted R-squared0.354625955993888
F-TEST (value)3.70165438657374
F-TEST (DF numerator)12
F-TEST (DF denominator)47
p-value0.000596500404973055
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation416.646822002174
Sum Squared Residuals8158944.99137204


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
194879649.87506549107-162.875065491074
287008878.65258942807-178.652589428074
396279801.365393783-174.365393782995
489479274.1872750977-327.187275097703
592839472.14495802767-189.144958027674
688299636.0863212275-807.086321227493
799479988.82509931578-41.8250993157801
8962810142.3957132663-514.395713266323
993189774.75619015756-456.756190157556
1096059880.29550124642-275.295501246418
1186409123.29735904236-483.297359042357
1292149570.99520387226-356.995203872261
1395679688.7479935170-121.747993516989
1485478892.32219049212-345.322190492122
1591859846.64594730765-661.645947307654
1694709347.02061826708122.979381732916
1791239562.91965259362-439.919652593617
1892789549.15620196081-271.156201960813
191017010020.4360517764149.563948223609
20943410110.5711732891-676.571173289086
2196559820.25033119884-165.250331198841
2294299908.70264095764-479.702640957643
2387399128.20987192475-389.209871924749
2495529604.74203149913-52.7420314991297
2596879740.64976005705-53.6497600570461
2690198945.5054821319373.4945178680658
2796729795.5985308341-123.598530834100
2892069470.6877903934-264.687790393394
2990699541.77448844767-472.774488447668
3097889546.37956424468241.620435755322
311031210268.838333612143.1616663878614
32101059946.32237300388158.677626996116
3398639861.045546874361.95445312564103
3496569923.86735463807-267.867354638071
3592959145.93763580469149.062364195314
3699469617.55728249667328.442717503325
3797019737.65953482429-36.6595348242857
3890498869.46832621317179.531673786833
39101909789.19090533533400.809094664673
4097069469.40626529364236.593734706361
4197659537.50273811515227.497261884847
4298939528.01103781486364.988962185137
43999410278.0225968270-284.022596827046
44104339969.6034123161463.396587683909
45100739931.74301487748141.256985122518
46101129891.18846459433220.811535405668
4792669147.85992345432118.140076545682
4898209621.40185779594198.598142204062
49100979722.0676461106374.932353889394
5091158844.0514117347270.948588265297
51104119852.19922273992558.800777260076
5296789445.69805094818232.301949051819
53104089533.6581628159874.34183718411
54101539681.36687475215471.633125247848
551036810234.8779184686133.122081531356
561058110012.1073281246568.892671875385
571059710118.2049168918478.795083108238
58106809877.94603856354802.053961436465
5997389132.69520977389605.30479022611
6095569673.303624336-117.303624335996


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
160.2978669542630220.5957339085260430.702133045736978
170.2064059918388460.4128119836776920.793594008161154
180.1902426528870060.3804853057740120.809757347112994
190.1268451612548600.2536903225097210.87315483874514
200.137262001461110.274524002922220.86273799853889
210.1173618638936140.2347237277872280.882638136106386
220.1035624978995910.2071249957991810.89643750210041
230.08803031048027770.1760606209605550.911969689519722
240.07528183916246060.1505636783249210.92471816083754
250.04919124307526240.09838248615052480.950808756924738
260.04748247053890190.09496494107780380.952517529461098
270.05382549561103050.1076509912220610.94617450438897
280.04387507463394460.08775014926788920.956124925366055
290.1227533384944200.2455066769888390.87724666150558
300.2847879740604120.5695759481208230.715212025939588
310.2247544291594550.4495088583189110.775245570840545
320.3030173585853950.606034717170790.696982641414605
330.2974823240224350.594964648044870.702517675977565
340.4944972405543370.9889944811086730.505502759445663
350.5401360759620060.9197278480759880.459863924037994
360.5773738476815870.8452523046368260.422626152318413
370.5589450100590050.882109979881990.441054989940996
380.4771531811188470.9543063622376930.522846818881153
390.485540129895180.971080259790360.51445987010482
400.4145120441113280.8290240882226560.585487955888672
410.5732085474108650.853582905178270.426791452589135
420.4866708224211240.9733416448422480.513329177578876
430.4587965644826130.9175931289652260.541203435517387
440.3468912883755220.6937825767510440.653108711624478


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level00OK
10% type I error level30.103448275862069NOK