Multiple Linear Regression - Estimated Regression Equation
Y[t] = + 467.571130434783 + 49.8834782608694` `[t] + 26.9059130434780M1[t] + 46.7478260869565M2[t] + 36.2130434782609M3[t] -17.5217391304347M4[t] -22.2565217391304M5[t] -13.5913043478261M6[t] -11.1260869565217M7[t] -4.86086956521739M8[t] -3.19565217391303M9[t] -7.93043478260867M10[t] -12.8652173913043M11[t] + 2.53478260869565t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)467.57113043478314.05057533.277700
` `49.88347826086949.9393995.01888e-064e-06
M126.905913043478013.8806861.93840.0587290.029364
M246.747826086956513.9666673.34710.0016350.000817
M336.213043478260913.9277252.60010.0124890.006245
M4-17.521739130434713.89279-1.26120.2135920.106796
M5-22.256521739130413.861892-1.60560.1152080.057604
M6-13.591304347826113.835058-0.98240.3310510.165525
M7-11.126086956521713.812311-0.80550.4246640.212332
M8-4.8608695652173913.793673-0.35240.7261490.363074
M9-3.1956521739130313.779158-0.23190.8176290.408815
M10-7.9304347826086713.768782-0.5760.5674410.283721
M11-12.865217391304313.762552-0.93480.3547740.177387
t2.534782608695650.23910510.601100


Multiple Linear Regression - Regression Statistics
Multiple R0.888041241395152
R-squared0.788617246418643
Adjusted R-squared0.728878642145651
F-TEST (value)13.2011327686003
F-TEST (DF numerator)13
F-TEST (DF denominator)46
p-value1.89785964721523e-11
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation21.7572209945670
Sum Squared Residuals21775.3266086956


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1581546.89530434782734.104695652173
2597569.27227.7279999999999
3587561.27225.7280000000001
4536510.07225.9280000000001
5524507.87216.1280000000000
6537519.07217.9280000000001
7536524.07211.9280000000001
8533532.8720.12800000000008
9528537.072-9.07199999999994
10516534.872-18.8719999999999
11502532.472-30.4720000000000
12506547.872-41.8719999999999
13518577.312695652174-59.3126956521736
14534549.805913043478-15.8059130434781
15528541.805913043478-13.8059130434783
16478490.605913043478-12.6059130434783
17469488.405913043478-19.4059130434783
18490499.605913043478-9.60591304347826
19493504.605913043478-11.6059130434783
20508513.405913043478-5.40591304347827
21517517.605913043478-0.605913043478274
22514515.405913043478-1.40591304347828
23510513.005913043478-3.00591304347828
24527528.405913043478-1.40591304347825
25542557.846608695652-15.8466086956520
26565580.223304347826-15.2233043478261
27555572.223304347826-17.2233043478261
28499521.023304347826-22.0233043478261
29511518.823304347826-7.8233043478261
30526530.023304347826-4.02330434782611
31532535.023304347826-3.02330434782609
32549543.8233043478265.17669565217392
33561548.02330434782612.9766956521739
34557545.82330434782611.1766956521739
35566543.42330434782622.5766956521739
36588558.82330434782629.1766956521739
37620588.26431.7360000000002
38626610.64069565217415.3593043478261
39620602.64069565217417.3593043478261
40573551.44069565217421.5593043478260
41573549.24069565217423.7593043478261
42574560.44069565217413.5593043478261
43580565.44069565217414.5593043478261
44590574.24069565217415.7593043478261
45593578.44069565217414.5593043478261
46597576.24069565217420.7593043478261
47595573.84069565217421.1593043478261
48612589.24069565217422.7593043478261
49628618.6813913043489.31860869565238
50629641.058086956522-12.0580869565217
51621633.058086956522-12.0580869565218
52569581.858086956522-12.8580869565218
53567579.658086956522-12.6580869565218
54573590.858086956522-17.8580869565218
55584595.858086956522-11.8580869565218
56589604.658086956522-15.6580869565218
57591608.858086956522-17.8580869565218
58595606.658086956522-11.6580869565218
59594604.258086956522-10.2580869565218
60611619.658086956522-8.65808695652178


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
170.003310081804032060.006620163608064120.996689918195968
180.006330171312852270.01266034262570450.993669828687148
190.007011127793507040.01402225558701410.992988872206493
200.04824077332382090.09648154664764170.95175922667618
210.1677925839279580.3355851678559160.832207416072042
220.3218699270997050.643739854199410.678130072900295
230.5063003844145590.9873992311708830.493699615585441
240.7096965016957390.5806069966085220.290303498304261
250.8807412383672270.2385175232655470.119258761632773
260.9139268987342060.1721462025315880.0860731012657942
270.9286429716749560.1427140566500890.0713570283250444
280.9648582118609160.07028357627816830.0351417881390841
290.9835274609061050.03294507818779010.0164725390938950
300.9872202105904740.02555957881905160.0127797894095258
310.9947566318483370.01048673630332540.00524336815166272
320.9974342710031260.005131457993748940.00256572899687447
330.9980814564168220.003837087166355320.00191854358317766
340.9997959281031540.0004081437936913730.000204071896845687
350.9999842856152033.14287695941118e-051.57143847970559e-05
360.9999999852932082.94135839225577e-081.47067919612788e-08
370.9999999949548031.00903943443971e-085.04519717219855e-09
380.9999999749048665.01902671981372e-082.50951335990686e-08
390.9999997657941934.68411613329511e-072.34205806664756e-07
400.999997968875734.06224853845481e-062.03112426922741e-06
410.9999956025057148.79498857197069e-064.39749428598535e-06
420.9999311018333040.0001377963333923226.88981666961608e-05
430.999989912723772.01745524593534e-051.00872762296767e-05


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level130.481481481481481NOK
5% type I error level180.666666666666667NOK
10% type I error level200.740740740740741NOK