Multiple Linear Regression - Estimated Regression Equation
inv[t] = -100.311791928551 + 1.86997920836677cons[t] -11.6927284767817M1[t] -12.6573646232001M2[t] -12.3593937314866M3[t] -9.25209810548548M4[t] -10.1752698288643M5[t] -2.26767649769861M6[t] + 7.53010395816615M7[t] + 0.0541796552228235M8[t] + 4.20976466973519M9[t] + 5.91894055144064M10[t] + 8.84094555694431M11[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-100.31179192855130.421899-3.29740.0018640.000932
cons1.869979208366770.2831126.605100
M1-11.69272847678176.628718-1.7640.084240.04212
M2-12.65736462320018.839514-1.43190.1587870.079394
M3-12.35939373148668.57873-1.44070.1562980.078149
M4-9.252098105485487.738864-1.19550.2378750.118937
M5-10.17526982886437.950085-1.27990.2068640.103432
M6-2.267676497698616.769009-0.3350.7391090.369555
M77.530103958166156.7078481.12260.2673170.133659
M80.05417965522282358.3496410.00650.994850.497425
M94.209764669735196.9295810.60750.5464390.27322
M105.918940551440646.8303880.86660.3905860.195293
M118.840945556944318.070411.09550.278890.139445


Multiple Linear Regression - Regression Statistics
Multiple R0.854903900048446
R-squared0.730860678318043
Adjusted R-squared0.662144255760947
F-TEST (value)10.6358953379853
F-TEST (DF numerator)12
F-TEST (DF denominator)47
p-value9.79218484076227e-10
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation10.3671854805278
Sum Squared Residuals5051.49113502033


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
183.491.4492174649721-8.04921746497212
2113.6127.136173802542-13.5361738025421
3112.9113.783296473178-0.883296473178192
4104113.898625365793-9.89862536579254
5109.9130.179262359388-20.279262359388
699100.687271523218-1.68727152321832
7106.3104.5011185123091.79888148769056
8128.9123.7658968890115.13410311098914
9111.1112.026658632406-0.92665863240571
10102.9112.426849068254-9.52684906825442
11130133.113656553242-3.11365655324238
128782.01118088720914.98881911279087
1387.589.3922403357684-1.89224033576843
14117.6125.079196673339-7.4791966733387
15103.4106.490377560548-3.09037756054782
16110.8114.459619128303-3.65961912830257
17112.6106.8045222548035.79547774519658
18102.5104.988223702462-2.48822370246188
19112.4117.40397505004-5.00397505004013
20135.6143.961672339372-8.36167233937196
21105.1107.912704373999-2.81270437399882
22127.7127.760678576862-0.060678576861918
23137140.219577545036-3.21957754503612
249189.67809564151291.32190435848713
2590.598.929134298439-8.42913429843894
26122.4126.388182119195-3.98818211919543
27123.3129.678119744296-6.37811974429573
28124.3125.679494378503-1.37949437850318
29120112.9754536424147.02454635758626
30118.1113.7771259817864.32287401821429
31119119.647950100080-0.647950100080233
32142.7142.2786910518420.421308948158136
33123.6113.33564407826210.2643559217375
34129.6124.0207201601285.5792798398716
35151.6146.0165130909735.58348690902691
36110.4109.3128773293641.08712267063608
3799.2101.547105190152-2.34710519015241
38130.5113.48532558146517.0146744185353
39136.2133.4180781610292.78192183897073
40129.7124.1835110118105.51648898819022
41128114.65843492994413.3415650700562
42121.6117.5170843985194.08291560148076
43135.8126.9408690127118.85913098728938
44143.8125.26188025570418.5381197442957
45147.5142.3203218079475.17967819205265
46136.2115.60581372247820.5941862775221
47156.6141.34156507005615.2584349299438
48123.3115.1098128753018.19018712469907
49104.583.782302710668120.7176972893319
50139.8131.8111218234597.98887817654094
51136.5128.9301280609497.56987193905099
52112.1102.6787501155929.42124988440806
53118.5124.382326813451-5.88232681345101
5494.498.6302943940149-4.23029439401486
55102.3107.306087324860-5.00608732485958
56111.4127.131859464071-15.7318594640710
5799.2110.904671107386-11.7046711073857
5887.8104.385938472277-16.5859384722773
59115.8130.308687740692-14.5086877406922
6079.795.2880332666132-15.5880332666132


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
160.0824658523128890.1649317046257780.917534147687111
170.0540968771353420.1081937542706840.945903122864658
180.02187090799096720.04374181598193440.978129092009033
190.01047698144415940.02095396288831880.98952301855584
200.004360566708918730.008721133417837460.995639433291081
210.002009550684472860.004019101368945720.997990449315527
220.019894535033650.03978907006730.98010546496635
230.009886639431520240.01977327886304050.99011336056848
240.004330402167981570.008660804335963150.995669597832018
250.002438768311074110.004877536622148220.997561231688926
260.002014497470330230.004028994940660460.99798550252967
270.001220288783889700.002440577567779390.99877971121611
280.001471714404934460.002943428809868920.998528285595066
290.001855492848167270.003710985696334540.998144507151833
300.001718475092782190.003436950185564380.998281524907218
310.000821941383385420.001643882766770840.999178058616615
320.0004071203889300160.0008142407778600320.99959287961107
330.0008099178223108550.001619835644621710.99919008217769
340.0006971274139575230.001394254827915050.999302872586042
350.0005414466762773880.001082893352554780.999458553323723
360.00022975356622540.00045950713245080.999770246433775
370.0004505984510938520.0009011969021877040.999549401548906
380.002989527495142590.005979054990285180.997010472504857
390.002108781844234650.004217563688469300.997891218155765
400.00259392752367510.00518785504735020.997406072476325
410.008429481617532110.01685896323506420.991570518382468
420.004687455489307550.00937491097861510.995312544510693
430.002748048682240800.005496097364481610.99725195131776
440.04179315658130140.08358631316260290.958206843418699


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level210.724137931034483NOK
5% type I error level260.896551724137931NOK
10% type I error level270.93103448275862NOK