Multiple Linear Regression - Estimated Regression Equation
Y[t] = + 0.161444463225237 + 0.0791592781596746X[t] + 2.06064556081534Y1[t] -1.51248435858741Y2[t] + 0.399499156624229Y3[t] + 0.00955021927819122Y4[t] + 0.0378650408289318M1[t] -0.0484576135319395M2[t] + 0.0596382358271586M3[t] -0.0446390881700724M4[t] + 0.0169784404865373M5[t] + 0.0241710147035326M6[t] -0.0756529773410106M7[t] -0.0303723197500138M8[t] -0.00954782897581095M9[t] -0.0461532281989728M10[t] -0.000389226894001394M11[t] -0.000475364960323572t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)0.1614444632252370.0832041.94040.0579860.028993
X0.07915927815967460.0568821.39160.1701940.085097
Y12.060645560815340.1635512.599500
Y2-1.512484358587410.33353-4.53483.6e-051.8e-05
Y30.3994991566242290.3711071.07650.2868670.143434
Y40.009550219278191220.199150.0480.9619430.480972
M10.03786504082893180.0583310.64910.5192170.259609
M2-0.04845761353193950.059371-0.81620.4182660.209133
M30.05963823582715860.0605240.98540.329190.164595
M4-0.04463908817007240.059125-0.7550.4537950.226897
M50.01697844048653730.060620.28010.7805730.390287
M60.02417101470353260.0587950.41110.682750.341375
M7-0.07565297734101060.058939-1.28360.2052090.102605
M8-0.03037231975001380.059955-0.50660.6146730.307337
M9-0.009547828975810950.060623-0.15750.8754890.437744
M10-0.04615322819897280.060888-0.7580.452010.226005
M11-0.0003892268940013940.060942-0.00640.9949290.497465
t-0.0004753649603235720.001429-0.33260.7408430.370421


Multiple Linear Regression - Regression Statistics
Multiple R0.99576834325729
R-squared0.99155459343337
Adjusted R-squared0.988683155200714
F-TEST (value)345.316358247658
F-TEST (DF numerator)17
F-TEST (DF denominator)50
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.0952174421747424
Sum Squared Residuals0.45331806471502


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
13.73.577573614592180.122426385407819
23.653.74989766355371-0.0998976635537103
33.553.66050001564694-0.110500015646943
43.433.423110438103240.00688956189675844
53.473.368248612529220.101751387470783
63.583.59846234062266-0.0184623406226591
73.673.615439700241260.0545602997587431
83.723.694163753852280.0258362461477184
93.83.725748481433850.0742515185661449
103.763.81490059240301-0.0549005924030069
113.633.6775991351943-0.0475991351942975
123.483.50256589205933-0.0225658920593253
133.413.41226575169928-0.00226575169928146
143.433.355778297776850.074221702223153
153.53.54931919649325-0.0493191964932478
163.623.529164535765590.0908354642344062
173.583.73903172944161-0.159031729441614
183.523.509980938584440.0100190614155575
193.453.395150636418530.0548493635814677
203.363.37162586135579-0.0116258613557907
213.273.28803883362883-0.0180388336288255
223.213.173085607124440.0369143928755603
233.193.19423566264738-0.00423566264737936
243.163.20687123104878-0.0468712310487771
253.123.18786175813218-0.0678617581321828
263.063.055449450846820.00455054915317979
273.013.08775459685588-0.0777545968558802
282.982.954452218529490.0255477814705124
292.973.00504727516210-0.0350472751621032
303.023.015984588580340.00401541141965914
313.073.021379867539480.0486201324605214
323.183.089311722136960.09068827786304
333.293.35974637550926-0.0697463755092619
343.433.403415812365970.0265841876340307
353.613.61524396597273-0.00524396597272548
363.743.81932165000019-0.0793216500001923
373.873.90932847027706-0.0393284702770553
383.883.9670382861368-0.0870382861367992
394.093.952296189358590.137703810641412
404.194.3183306434537-0.128330643453695
414.24.27315216800057-0.073152168000568
424.294.233217722090520.0567822779094791
434.374.3452070836840.024792916315996
444.474.42369044240110.0463095575989001
454.614.565155801898480.0448441981015185
464.654.69813643263538-0.0481364326353802
474.694.654817014415080.0351829855849185
484.824.733542228293090.0864577717069119
494.864.99563344968811-0.135633449688110
504.874.811000261219260.0589997387807372
515.014.931044726014970.0789552739850286
525.035.11687906675682-0.0868790667568239
535.135.011863331804550.118136668195449
545.185.25042079409118-0.0704207940911813
555.215.111232293099770.0987677069002278
565.265.182373654673520.0776263453264774
575.255.28131050752958-0.0313105075295761
585.25.16046155547120.0395384445287960
595.165.138104221770520.021895778229484
605.195.127698998598620.0623010014013826
615.395.267336955611190.122663044388810
625.585.530836040466560.0491639595334396
635.765.739085275630370.0209147243696306
645.895.798063097391160.091936902608842
655.985.932656883061950.0473431169380536
666.026.001933616030850.0180663839691445
675.625.90159041901696-0.281590419016956
684.875.09883456558035-0.228834565580345


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
210.741664293847760.5166714123044790.258335706152240
220.5960348914119910.8079302171760180.403965108588009
230.4440571050830520.8881142101661040.555942894916948
240.3205676376936010.6411352753872020.679432362306399
250.3104978708899490.6209957417798990.68950212911005
260.2101151020652150.4202302041304310.789884897934785
270.1640278793710930.3280557587421850.835972120628907
280.1049880315770550.209976063154110.895011968422945
290.06739064167092730.1347812833418550.932609358329073
300.04166309413629660.08332618827259320.958336905863703
310.02225688902661070.04451377805322140.97774311097339
320.01761159513224450.0352231902644890.982388404867755
330.00923420528251040.01846841056502080.99076579471749
340.007090213441321310.01418042688264260.992909786558679
350.00479421241700520.00958842483401040.995205787582995
360.003982689612111760.007965379224223520.996017310387888
370.001929650107608820.003859300215217650.998070349892391
380.001293849575052660.002587699150105320.998706150424947
390.004513711668768990.009027423337537980.99548628833123
400.005434366663099910.01086873332619980.9945656333369
410.01085429050097070.02170858100194130.98914570949903
420.005680198915412940.01136039783082590.994319801084587
430.002524713515072570.005049427030145140.997475286484927
440.001153937961778710.002307875923557420.998846062038221
450.0006462638821952670.001292527764390530.999353736117805
460.001014507761079830.002029015522159660.99898549223892
470.0006017256104417410.001203451220883480.999398274389558


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level100.370370370370370NOK
5% type I error level170.62962962962963NOK
10% type I error level180.666666666666667NOK