Multiple Linear Regression - Estimated Regression Equation
Y[t] = + 15281.0179858574 + 639.031849385553X[t] + 1.21329152111263Y1[t] -0.258949144967362Y2[t] -30.8517960553214M1[t] + 18948.0579225308M2[t] + 13586.0496020729M3[t] + 7223.28254784197M4[t] + 4475.86728372419M5[t] + 7396.19831256279M6[t] + 2278.67422706786M7[t] + 16154.5210622411M8[t] + 61280.2391484256M9[t] + 9312.77487688442M10[t] + 1391.16702241957M11[t] -61.7258250201235t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)15281.017985857422689.405330.67350.5034580.251729
X639.0318493855533843.7319930.16630.8685680.434284
Y11.213291521112630.1310469.258500
Y2-0.2589491449673620.132899-1.94850.0564680.028234
M1-30.85179605532144396.580505-0.0070.9944270.497213
M218948.05792253084502.9651954.20799.6e-054.8e-05
M313586.04960207294723.013712.87660.0057110.002855
M47223.282547841974657.3650511.55090.1266520.063326
M54475.867283724194445.3508811.00690.3184090.159205
M67396.198312562794442.4068811.66490.1016180.050809
M72278.674227067864514.8401060.50470.615780.30789
M816154.52106224114589.9361713.51960.0008760.000438
M961280.23914842564964.27618712.344200
M109312.774876884428984.8578631.03650.3045060.152253
M111391.167022419574880.9731290.2850.7767010.38835
t-61.725825020123575.912614-0.81310.4196570.209829


Multiple Linear Regression - Regression Statistics
Multiple R0.98761175325378
R-squared0.975376975165005
Adjusted R-squared0.968661604755461
F-TEST (value)145.245446740925
F-TEST (DF numerator)15
F-TEST (DF denominator)55
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation7057.9828257733
Sum Squared Residuals2739831686.2901


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1547344551590.582861239-4246.5828612385
2554788551767.0392803953020.96071960472
3562325560067.2057248882257.79427511161
4560854560859.673605126-5.67360512606075
5555332554314.0809828121017.91901718752
6543599550853.804599294-7254.80459929401
7536662532868.9224500743793.07754992579
8542722541304.6904961711417.30950382899
9593530596156.591443302-2626.59144330212
10610763604203.0851329296559.91486707082
11612613603971.7160792768641.2839207236
12611324600300.94193067311023.0580693274
13594167598165.375620693-3998.37562069333
14595454596599.902334393-1145.90233439286
15590865597180.464856792-6315.4648567918
16589379584854.9096375824524.09036241811
17584428581431.1349743262996.86502567415
18573100578667.532286537-5567.53228653717
19567456561026.1732415926429.82675840836
20569028570925.852820775-1897.85282077531
21620735619358.6483273251376.35167267541
22628884629658.054857045-774.054857045401
23628232618172.3503442810059.6496557201
24612117613818.214842736-1701.21484273570
25595404594342.2792014491061.72079855107
26597141597154.687373809-13.6873738085848
27593408598166.257660343-4758.2576603427
28590072586762.752867973309.24713203011
29579799580872.728422563-1073.72842256341
30574205572131.0441776032073.95582239707
31572775562824.8260642349950.17393576647
32572942576352.501716143-3410.50171614299
33619567621989.410938637-2422.41093863658
34625809626486.693506742-677.693506742114
35619916614003.2216179395912.77838206108
36587625603784.041273696-16159.0412736962
37565742566039.054455665-297.054455665445
38557274566767.506832865-9493.50683286486
39560576556736.2042259263839.79577407417
40548854556510.781308972-7656.78130897231
41531673538624.38693267-6951.38693266992
42525919523672.832389562246.16761044032
43511038515961.308326247-4923.3083262468
44498662513210.431590865-14548.4315908650
45555362547112.1502129998249.84978700113
46564591567081.34398164-2490.34398163978
47541657555613.061230854-13956.0612308538
48527070523944.6989793133125.30102068672
49509846512092.57763045-2246.57763044937
50514258513889.31954201368.68045798966
51516922518278.767660599-1356.76766059908
52507561513943.999765996-6382.99976599607
53492622499087.39622553-6465.39622552979
54490243486244.6623414863998.33765851388
55469357482047.433178912-12690.4331789115
56477580471136.7874949846443.21250501644
57528379531586.087776046-3207.08777604549
58533590539061.554841418-5471.55484141809
59517945524246.325663254-6301.325663254
60506174502462.1029735823711.89702641773
61501866492139.1302305049726.86976949558
62516141508877.5446365287263.45536347194
63528222521889.0998714526332.90012854778
64532638526425.8828143546212.11718564623
65536322525846.27246209910475.7275379014
66536535532031.124205524503.8757944799
67523597526156.336738942-2559.33673894227
68536214524217.73588106211996.2641189379
69586570587940.111301692-1370.11130169234
70596594593740.2676802252853.73231977456
71580523584879.325064397-4356.32506439698


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
190.07044264463345850.1408852892669170.929557355366541
200.04691368680214060.0938273736042810.95308631319786
210.01590813424758440.03181626849516880.984091865752416
220.02603586982292000.05207173964584010.97396413017708
230.01553100050331570.03106200100663140.984468999496684
240.05594247346266640.1118849469253330.944057526537334
250.03832439413791190.07664878827582380.961675605862088
260.01957736180032290.03915472360064590.980422638199677
270.01118343291863360.02236686583726730.988816567081366
280.005735498423030960.01147099684606190.99426450157697
290.003210322348959910.006420644697919830.99678967765104
300.002853904403728600.005707808807457190.997146095596271
310.006281001115701910.01256200223140380.993718998884298
320.003854970654594600.007709941309189210.996145029345405
330.001843160804897190.003686321609794380.998156839195103
340.001227582061638090.002455164123276190.998772417938362
350.01591884542089220.03183769084178440.984081154579108
360.2285400091953880.4570800183907760.771459990804612
370.1673308972106270.3346617944212530.832669102789373
380.1952465449318060.3904930898636130.804753455068194
390.1854845850987080.3709691701974160.814515414901292
400.1518858563409170.3037717126818340.848114143659083
410.1235552677465330.2471105354930670.876444732253467
420.1077545193563110.2155090387126210.89224548064369
430.1362352135149600.2724704270299210.86376478648504
440.3014524640514640.6029049281029280.698547535948536
450.8159670300433050.3680659399133910.184032969956695
460.832800000570820.3343999988583590.167199999429180
470.8436945920470820.3126108159058360.156305407952918
480.91303340930790.1739331813842020.086966590692101
490.865268135229310.2694637295413810.134731864770690
500.8478456548846160.3043086902307680.152154345115384
510.8996440308358220.2007119383283560.100355969164178
520.9740548437195950.05189031256080970.0259451562804048


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level50.147058823529412NOK
5% type I error level120.352941176470588NOK
10% type I error level160.470588235294118NOK