Multiple Linear Regression - Estimated Regression Equation
Y[t] = + 862212.191666666 -197694.30813492M1[t] + 25198.6289682542M2[t] + 255262.232738095M3[t] + 681812.003174603M4[t] + 720838.606944444M5[t] + 663835.877380952M6[t] + 2108698.81448413M7[t] + 1807278.2515873M8[t] + 519487.855357143M9[t] + 495689.292460317M10[t] + 93400.3962301587M11[t] -42.10376984127t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)862212.19166666637852.28860222.778300
M1-197694.3081349246348.039027-4.26547.3e-053.7e-05
M225198.628968254246300.307910.54420.5883250.294163
M3255262.23273809546257.0801745.51831e-060
M4681812.00317460346218.36845514.75200
M5720838.60694444446184.1841115.607900
M6663835.87738095246154.53719714.382900
M72108698.8144841346129.43646545.712700
M81807278.251587346108.8893439.195900
M9519487.85535714346092.90190911.270500
M10495689.29246031746081.4789210.756800
M1193400.396230158746074.6237682.02720.0471720.023586
t-42.10376984127458.891476-0.09180.9272070.463603


Multiple Linear Regression - Regression Statistics
Multiple R0.994333318229864
R-squared0.988698747742012
Adjusted R-squared0.986400187960726
F-TEST (value)430.138365680866
F-TEST (DF numerator)12
F-TEST (DF denominator)59
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation79799.6310883679
Sum Squared Residuals375710886188.537


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1655362664475.779761905-9113.77976190497
2873127887326.613095238-14199.6130952381
311078971117348.11309524-9451.11309523815
415559641543855.779761912108.2202380951
516711591582840.279761988318.720238095
614933081525795.44642857-32487.4464285713
729577962970616.2797619-12820.2797619045
826386912669153.61309524-30462.6130952377
913056691381321.11309524-75652.1130952381
1012804961357480.44642857-76984.4464285713
11921900955149.446428571-33249.4464285715
12867888861706.9464285716181.05357142854
13652586663970.534523809-11384.5345238095
14913831886821.36785714327009.6321428571
1511085441116842.86785714-8298.86785714284
1615558271543350.5345238112476.4654761905
1716992831582335.03452381116947.96547619
1815094581525290.20119048-15832.2011904762
1932689752970111.03452381298863.96547619
2024250162668648.36785714-243632.367857143
2113127031380815.86785714-68112.8678571429
2213654981356975.201190488522.79880952377
23934453954644.201190476-20191.2011904762
24775019861201.701190476-86182.7011904761
25651142663465.289285714-12323.2892857142
26843192886316.122619048-43124.1226190475
2711467661116337.6226190530428.3773809524
2816526011542845.28928571109755.710714286
2914659061581829.78928571-115923.789285714
3016527341524784.95595238127949.044047619
3129223342969605.78928571-47271.7892857143
3227028052668143.1226190534661.8773809522
3314589561380310.6226190578645.3773809524
3414103631356469.9559523853893.0440476191
351019279954138.95595238165140.044047619
36936574860696.45595238175877.544047619
37708917662960.04404761945956.955952381
38885295885810.877380952-515.877380952416
3910996631115832.37738095-16169.3773809524
4015762201542340.0440476233879.955952381
4114878701581324.54404762-93454.544047619
4214886351524279.71071429-35644.7107142857
4328825302969100.54404762-86570.5440476191
4426770262667637.877380959388.12261904743
4514043981379805.3773809524592.6226190476
4613443701355964.71071429-11594.7107142857
47936865953633.710714286-16768.7107142857
48872705860191.21071428612513.7892857143
49628151662454.798809524-34303.7988095238
50953712885305.63214285768406.3678571428
5111603841115327.1321428645056.8678571429
5214006181541834.79880952-141216.798809524
5316615111580819.2988095280691.7011904762
5414953471523774.46547619-28427.4654761905
5529187862968595.29880952-49809.2988095238
5627756772667132.63214286108544.367857143
5714070261379300.1321428627725.8678571429
5813701991355459.4654761914739.5345238095
59964526953128.4654761911397.5345238095
60850851859685.96547619-8834.96547619048
61683118661949.55357142921168.4464285715
62847224884800.386904762-37576.3869047618
6310732561114821.88690476-41565.8869047619
6415143261541329.55357143-27003.5535714285
6515037341580314.05357143-76580.0535714285
6615077121523269.2202381-15557.2202380953
6728656982968090.05357143-102392.053571429
6827881282666627.38690476121500.613095238
6913915961378794.8869047612801.1130952381
7013663781354954.220238111423.7797619047
71946295952623.220238095-6328.22023809521
72859626859180.720238095445.279761904761


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
160.006083052827022960.01216610565404590.993916947172977
170.001311021101911570.002622042203823130.998688978898088
180.0001775137198562990.0003550274397125980.999822486280144
190.686164190035740.627671619928520.31383580996426
200.9848276689190350.03034466216192960.0151723310809648
210.9806457139395130.03870857212097340.0193542860604867
220.9695836422304860.06083271553902790.030416357769514
230.9518245257317310.09635094853653880.0481754742682694
240.968616990504320.06276601899135940.0313830094956797
250.9525732745148690.09485345097026180.0474267254851309
260.9469393431284580.1061213137430830.0530606568715417
270.9202702902509480.1594594194981050.0797297097490523
280.9462596734840520.1074806530318970.0537403265159484
290.9922792825220620.01544143495587650.00772071747793824
300.9980272662928210.003945467414358170.00197273370717908
310.9988947602278460.002210479544307260.00110523977215363
320.9993332083558460.001333583288307590.000666791644153795
330.9992632605344170.00147347893116580.000736739465582898
340.9987591013777060.002481797244587290.00124089862229365
350.9982933039590380.003413392081924070.00170669604096203
360.9981090579659440.003781884068112350.00189094203405618
370.9970278556679090.005944288664181550.00297214433209077
380.9945212056242010.01095758875159880.00547879437579939
390.9907750519985230.01844989600295390.00922494800147694
400.9949156578211160.01016868435776720.00508434217888361
410.9969153315296310.006169336940738220.00308466847036911
420.9945827195617970.01083456087640610.00541728043820307
430.9936489081736020.01270218365279620.0063510918263981
440.9965318829107340.006936234178531590.0034681170892658
450.9929557958258650.01408840834827030.00704420417413517
460.9880149965233330.02397000695333350.0119850034766668
470.9804010523449490.03919789531010230.0195989476550512
480.9635693567675720.07286128646485690.0364306432324285
490.9553755833128960.08924883337420710.0446244166871035
500.9498357083237440.1003285833525110.0501642916762556
510.9347898227098960.1304203545802070.0652101772901037
520.9796129438965290.0407741122069420.020387056103471
530.9997634552025510.000473089594896970.000236544797448485
540.9991284522120880.001743095575823340.000871547787911668
550.9996527052705820.0006945894588365230.000347294729418262
560.9986267815401650.002746436919669250.00137321845983462


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level160.390243902439024NOK
5% type I error level290.707317073170732NOK
10% type I error level350.853658536585366NOK