Multiple Linear Regression - Estimated Regression Equation
Y[t] = + 129.735271512114 + 132.441278195489X[t] + 1.56547284878861M1[t] + 5.70547284878865M2[t] + 12.7354728487886M3[t] + 17.2404728487886M4[t] + 25.3464728487887M5[t] + 32.7264728487886M6[t] + 35.6664728487887M7[t] + 33.9414728487887M8[t] + 28.1594728487886M9[t] + 24.2412531328321M10[t] + 18.6901420217210M11[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)129.73527151211422.6523125.727200
X132.44127819548915.9390858.309200
M11.5654728487886130.8420170.05080.9596160.479808
M25.7054728487886530.8420170.1850.8535970.426798
M312.735472848788630.8420170.41290.6805110.340255
M417.240472848788630.8420170.5590.5773680.288684
M525.346472848788730.8420170.82180.4130620.206531
M632.726472848788630.8420171.06110.2911020.145551
M735.666472848788730.8420171.15640.2501570.125078
M833.941472848788730.8420171.10050.2736570.136829
M928.159472848788630.8420170.9130.3633420.181671
M1024.241253132832131.6906790.76490.4460440.223022
M1118.690142021721031.6906790.58980.5566250.278313


Multiple Linear Regression - Regression Statistics
Multiple R0.641911939068384
R-squared0.412050937518533
Adjusted R-squared0.344210661078363
F-TEST (value)6.07383930520882
F-TEST (DF numerator)12
F-TEST (DF denominator)104
p-value5.79472236861278e-08
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation67.1210247974531
Sum Squared Residuals468544.124865472


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1100.01131.300744360903-31.2907443609025
2103.84135.440744360902-31.600744360902
3104.48142.470744360902-37.9907443609022
495.43146.975744360902-51.5457443609022
5104.8155.081744360902-50.2817443609023
6108.64162.461744360902-53.8217443609023
7105.65165.401744360902-59.7517443609023
8108.42163.676744360902-55.2567443609021
9115.35157.894744360902-42.5447443609022
10113.64153.976524644946-40.3365246449457
11115.24148.425413533835-33.1854135338346
12100.33129.735271512114-29.4052715121136
13101.29131.300744360902-30.0107443609022
14104.48135.440744360902-30.9607443609023
1599.26142.470744360902-43.2107443609022
16100.11146.975744360902-46.8657443609023
17103.52155.081744360902-51.5617443609023
18101.18162.461744360902-61.2817443609023
1996.39165.401744360902-69.0117443609023
2097.56163.676744360902-66.1167443609023
2196.39157.894744360902-61.5047443609023
2285.1153.976524644946-68.8765246449457
2379.77148.425413533835-68.6554135338346
2479.13129.735271512114-50.6052715121136
2580.84131.300744360902-50.4607443609022
2682.75135.440744360902-52.6907443609023
2792.55142.470744360902-49.9207443609023
2896.6146.975744360902-50.3757443609023
2996.92155.081744360902-58.1617443609023
3095.32162.461744360902-67.1417443609023
3198.52165.401744360902-66.8817443609023
32100.22163.676744360902-63.4567443609023
33104.91157.894744360902-52.9847443609023
34103.1153.976524644946-50.8765246449457
3597.13148.425413533835-51.2954135338346
36103.42129.735271512114-26.3152715121136
37111.72131.300744360902-19.5807443609023
38118.11135.440744360902-17.3307443609023
39111.62142.470744360902-30.8507443609023
40100.22146.975744360902-46.7557443609023
41102.03155.081744360902-53.0517443609023
42105.76162.461744360902-56.7017443609023
43107.68165.401744360902-57.7217443609023
44110.77163.676744360902-52.9067443609023
45105.44157.894744360902-52.4547443609023
46112.26153.976524644946-41.7165246449457
47114.07148.425413533835-34.3554135338346
48117.9129.735271512114-11.8352715121136
49124.72131.300744360902-6.58074436090226
50126.42135.440744360902-9.02074436090227
51134.73142.470744360902-7.74074436090228
52135.79146.975744360902-11.1857443609023
53143.36155.081744360902-11.7217443609023
54140.37162.461744360902-22.0917443609023
55144.74165.401744360902-20.6617443609023
56151.98163.676744360902-11.6967443609023
57150.92157.894744360902-6.97474436090226
58163.38153.9765246449469.40347535505432
59154.43148.4254135338356.00458646616543
60146.66129.73527151211416.9247284878864
61157.95131.30074436090226.6492556390977
62162.1135.44074436090226.6592556390977
63180.42142.47074436090237.9492556390977
64179.57146.97574436090232.5942556390977
65171.58155.08174436090216.4982556390977
66185.43162.46174436090222.9682556390977
67190.64165.40174436090225.2382556390977
68203163.67674436090239.3232556390977
69202.36157.89474436090244.4652556390978
70193.41153.97652464494639.4334753550543
71186.17148.42541353383537.7445864661654
72192.24129.73527151211462.5047284878864
73209.6131.30074436090278.2992556390977
74206.41135.44074436090270.9692556390977
75209.82142.47074436090267.3492556390977
76230.37146.97574436090283.3942556390977
77235.8155.08174436090280.7182556390977
78232.07162.46174436090269.6082556390977
79244.64165.40174436090279.2382556390977
80242.19163.67674436090278.5132556390977
81217.48157.89474436090259.5852556390978
82209.39153.97652464494655.4134753550543
83211.73148.42541353383563.3045864661654
84221129.73527151211491.2647284878864
85203.11131.30074436090271.8092556390978
86214.71135.44074436090279.2692556390977
87224.19142.47074436090281.7192556390977
88238.04146.97574436090291.0642556390977
89238.36155.08174436090283.2782556390978
90246.24162.46174436090283.7782556390977
91259.87165.40174436090294.4682556390977
92249.97163.67674436090286.2932556390977
93266.48157.894744360902108.585255639098
94282.98153.976524644946129.003475355054
95306.31148.425413533835157.884586466165
96301.73262.17654970760239.5534502923977
97314.62263.74202255639150.8779774436091
98332.62267.88202255639164.737977443609
99355.51274.91202255639180.597977443609
100370.32279.41702255639190.902977443609
101408.13287.523022556391120.606977443609
102433.58294.903022556391138.676977443609
103440.51297.843022556391142.666977443609
104386.29296.11802255639190.171977443609
105342.84290.33602255639152.5039774436090
106254.97286.417802840434-31.4478028404344
107203.42280.866691729323-77.4466917293233
108170.09262.176549707602-92.0865497076023
109174.03263.742022556391-89.712022556391
110167.85267.882022556391-100.032022556391
111177.01274.912022556391-97.902022556391
112188.19279.417022556391-91.227022556391
113211.2287.523022556391-76.323022556391
114240.91294.903022556391-53.993022556391
115230.26297.843022556391-67.583022556391
116251.25296.118022556391-44.868022556391
117241.66290.336022556391-48.6760225563909


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
160.0001005686134090310.0002011372268180610.999899431386591
173.66648240437122e-067.33296480874243e-060.999996333517596
187.0463081447607e-071.40926162895214e-060.999999295369186
191.72434686863373e-073.44869373726745e-070.999999827565313
204.84653420864804e-089.69306841729608e-080.999999951534658
216.5388538386515e-081.3077707677303e-070.999999934611462
222.03430697890715e-074.0686139578143e-070.999999796569302
235.31374261310877e-071.06274852262175e-060.999999468625739
241.95922753030058e-073.91845506060116e-070.999999804077247
258.13379082974152e-081.62675816594830e-070.999999918662092
263.8205229898219e-087.6410459796438e-080.99999996179477
278.62674149687276e-091.72534829937455e-080.999999991373258
281.62736212930182e-093.25472425860364e-090.999999998372638
293.48234297539373e-106.96468595078746e-100.999999999651766
308.57328725031319e-111.71465745006264e-100.999999999914267
311.74971305352516e-113.49942610705032e-110.999999999982503
323.51033075336154e-127.02066150672307e-120.99999999999649
336.47507085385451e-131.29501417077090e-120.999999999999353
341.21930121353381e-132.43860242706762e-130.999999999999878
352.18429622580665e-144.36859245161331e-140.999999999999978
366.19592078100283e-151.23918415620057e-140.999999999999994
372.82749818775683e-155.65499637551365e-150.999999999999997
381.87349335107131e-153.74698670214263e-150.999999999999998
395.62562178111483e-161.12512435622297e-151
401.20216437593701e-162.40432875187402e-161
412.71558684721833e-175.43117369443665e-171
427.1077210350425e-181.4215442070085e-171
432.29551865196965e-184.59103730393931e-181
447.74584013088524e-191.54916802617705e-181
451.99562235729663e-193.99124471459325e-191
467.57149618309897e-201.51429923661979e-191
474.41448819736285e-208.8289763947257e-201
485.14806215383661e-201.02961243076732e-191
499.01734905629325e-201.80346981125865e-191
501.02804419678468e-192.05608839356935e-191
513.90091143625552e-197.80182287251104e-191
522.62587654223401e-185.25175308446802e-181
532.23785230506030e-174.47570461012061e-171
541.02415848378172e-162.04831696756345e-161
557.31188228357852e-161.46237645671570e-151
565.99212988801057e-151.19842597760211e-140.999999999999994
572.54164444812026e-145.08328889624051e-140.999999999999975
582.84008850603266e-135.68017701206532e-130.999999999999716
591.10050723185393e-122.20101446370787e-120.9999999999989
601.99053489249126e-123.98106978498252e-120.99999999999801
615.69877812457117e-121.13975562491423e-110.999999999994301
621.45940474976291e-112.91880949952581e-110.999999999985406
639.7387260189417e-111.94774520378834e-100.999999999902613
645.69296437894212e-101.13859287578842e-090.999999999430704
651.62136047855522e-093.24272095711043e-090.99999999837864
668.31149672393442e-091.66229934478688e-080.999999991688503
674.38166503089528e-088.76333006179057e-080.99999995618335
682.15220067810186e-074.30440135620372e-070.999999784779932
696.83275341266936e-071.36655068253387e-060.999999316724659
701.28098406921397e-062.56196813842793e-060.99999871901593
711.94765197416549e-063.89530394833097e-060.999998052348026
723.16064121013635e-066.32128242027271e-060.99999683935879
737.1932863886061e-061.43865727772122e-050.999992806713611
741.17015702942845e-052.34031405885690e-050.999988298429706
751.71338090827164e-053.42676181654329e-050.999982866190917
763.89588663396852e-057.79177326793705e-050.99996104113366
778.14895087762972e-050.0001629790175525940.999918510491224
780.0001439589304876260.0002879178609752520.999856041069512
790.0002689986962826180.0005379973925652350.999731001303717
800.0003827331550753960.0007654663101507920.999617266844925
810.0003870452001399660.0007740904002799320.99961295479986
820.000350914991686110.000701829983372220.999649085008314
830.0003143373685260720.0006286747370521450.999685662631474
840.0003031827547249410.0006063655094498810.999696817245275
850.0002269966451319870.0004539932902639730.999773003354868
860.0001797028581020730.0003594057162041450.999820297141898
870.0001455891736025920.0002911783472051830.999854410826397
880.0001302029751468800.0002604059502937610.999869797024853
890.0001173798653012250.000234759730602450.999882620134699
900.0001275397610288560.0002550795220577110.99987246023897
910.0001467660661979430.0002935321323958860.999853233933802
920.0001593048066885770.0003186096133771550.999840695193311
930.0001781617912168860.0003563235824337720.999821838208783
940.0001897366839478110.0003794733678956230.999810263316052
950.0002142268624575260.0004284537249150510.999785773137542
960.0001847583076215910.0003695166152431820.999815241692378
970.0001757075602963160.0003514151205926320.999824292439704
980.0002334927693483950.0004669855386967910.999766507230652
990.000407090039451350.00081418007890270.999592909960549
1000.0008131324444810210.001626264888962040.99918686755552
1010.002504271754941050.00500854350988210.997495728245059


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level861NOK
5% type I error level861NOK
10% type I error level861NOK