Multiple Linear Regression - Estimated Regression Equation
Y[t] = + 9169.31167219994 + 0.132189485048809X[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)9169.31167219994156.73388758.502400
X0.1321894850488090.0404543.26760.0018250.000913


Multiple Linear Regression - Regression Statistics
Multiple R0.394297381050267
R-squared0.155470424703100
Adjusted R-squared0.140909569956602
F-TEST (value)10.6772869731764
F-TEST (DF numerator)1
F-TEST (DF denominator)58
p-value0.00182506844110497
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation480.708461588437
Sum Squared Residuals13402676.2524779


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
194879323.84118022197163.158819778034
287009454.04782299507-754.047822995071
396279466.6058240747160.394175925292
489479524.5048185261-577.504818526087
592839745.5256375277-462.525637527695
688299880.75548073263-1051.75548073263
799479758.74458603258188.255413967424
8962810015.0599975422-387.059997542216
993189776.85454548426-458.854545484263
1096059569.0526749875435.9473250124646
1186409418.75323048704-778.753230487040
1292149442.94390625097-228.943906250972
1395679347.89966650088219.100333499122
1485479462.5079500382-915.507950038195
1591859494.62999490506-309.629994905056
1694709569.58143292773-99.5814329277306
1791239801.70616867344-678.706168673439
1892789826.95436031776-548.954360317761
19101709778.3086298198391.6913701802
2094349995.36376426994-561.363764269944
2196559805.01090579966-150.010905799659
2294299586.63387649903-157.633876499027
2387399421.79358864316-682.793588643162
2495529463.8298448886888.1701551113165
2596879380.02171136774306.978288632261
2690199495.42313181535-476.423131815349
2796729463.0367079784208.963292021609
2892069646.119144771-440.119144770991
2990699788.6194096536-719.619409653607
3097889825.23589701213-37.2358970121269
31103129932.04500093156379.954999068436
32101059893.7100502674211.28994973259
3398639830.2590974439832.7409025560184
3496569596.019329937559.9806700625076
3592959432.76531590221-137.765315902213
3699469471.76121399161474.238786008388
3797019378.17105857706322.828941422945
3890499448.36367513797-399.363675137973
39101909459.07102342693730.928976573074
4097069645.326007860760.6739921393019
4197659785.97561995263-20.9756199526307
4298939813.8676012979379.1323987020707
4399949937.7291487886656.2708512113368
44104339908.11870413773524.88129586227
45100739874.01381699514198.986183004863
46101129575.79433872503536.205661274975
4792669433.95502126765-167.955021267653
4898209474.1406247225345.859375277509
49100979368.5212261685728.478773831508
5091159432.63312641716-317.633126417165
51104119498.06692151633912.933078483675
5296789630.6529750202847.3470249797197
53104089783.59620922175624.403790778248
54101539908.77965156297244.220348437026
55103689911.0268728088456.973127191196
56105819934.42441166244646.575588337557
57105979989.41523744275607.584762557252
58106809567.5985906521112.40140934800
5997389424.56956782919313.430432170813
6095569506.2626695893549.7373304106488


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
50.5200245650423720.9599508699152560.479975434957628
60.4137240249846960.8274480499693920.586275975015304
70.6612438355371530.6775123289256940.338756164462847
80.5870162029270840.8259675941458320.412983797072916
90.4824646451446950.964929290289390.517535354855305
100.4118596722505690.8237193445011370.588140327749431
110.5024270248629690.9951459502740620.497572975137031
120.4057846914816560.8115693829633120.594215308518344
130.3726446286625850.7452892573251710.627355371337415
140.5365540365020450.926891926995910.463445963497955
150.4618617746819940.9237235493639880.538138225318006
160.3966698076042780.7933396152085560.603330192395722
170.3954486304485520.7908972608971050.604551369551448
180.3698809017121980.7397618034243950.630119098287802
190.5170261770013870.9659476459972250.482973822998613
200.5164777284119520.9670445431760950.483522271588048
210.4734136666892080.9468273333784160.526586333310792
220.4152479759371380.8304959518742760.584752024062862
230.5085587119405130.9828825761189740.491441288059487
240.4680845660008830.9361691320017650.531915433999117
250.4633860478439970.9267720956879930.536613952156003
260.4879226867080080.9758453734160160.512077313291992
270.4580607847391260.9161215694782520.541939215260874
280.4810372486739570.9620744973479130.518962751326044
290.6668449425745840.6663101148508310.333155057425416
300.6591097938265360.6817804123469270.340890206173464
310.7164433023381430.5671133953237140.283556697661857
320.705176210319880.589647579360240.29482378968012
330.677180539677670.6456389206446610.322819460322331
340.6357475563594510.7285048872810980.364252443640549
350.6119404543346250.776119091330750.388059545665375
360.6219327256403070.7561345487193870.378067274359693
370.5801654252379310.8396691495241370.419834574762069
380.6712786259208340.6574427481583330.328721374079166
390.7467065281748810.5065869436502380.253293471825119
400.708153471367690.5836930572646190.291846528632310
410.6906702710178360.6186594579643280.309329728982164
420.6612629149267330.6774741701465340.338737085073267
430.6546715366161080.6906569267677840.345328463383892
440.6318093860740030.7363812278519930.368190613925997
450.5921330244536620.8157339510926760.407866975546338
460.554423957411870.8911520851762580.445576042588129
470.5740434724380380.8519130551239250.425956527561962
480.4941359211775120.9882718423550250.505864078822488
490.5154435106374430.9691129787251140.484556489362557
500.6712537199350940.6574925601298120.328746280064906
510.7471681565172860.5056636869654280.252831843482714
520.7381370966360220.5237258067279560.261862903363978
530.6483739473994880.7032521052010230.351626052600512
540.5785320037470750.842935992505850.421467996252925
550.4400889933418770.8801779866837530.559911006658123


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 level00OK