Multiple Linear Regression - Estimated Regression Equation
metaalind[t] = + 97.545 + 5.53874999999998law[t] -5.30886408730163M1[t] -2.22558531746031M2[t] + 12.8950148809524M3[t] -0.964563492063498M4[t] + 0.304429563492081M5[t] + 14.3591369047619M6[t] -18.4290128968254M7[t] -17.2028769841270M8[t] + 6.26683035714287M9[t] + 6.88344246031746M10[t] + 2.70005456349207M11[t] + 0.116721230158731t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)97.5453.11727131.291800
law5.538749999999982.9694481.86520.0665930.033297
M1-5.308864087301633.660279-1.45040.1516830.075842
M2-2.225585317460313.658449-0.60830.5450490.272525
M312.89501488095243.6770183.50690.0008210.00041
M4-0.9645634920634983.671017-0.26280.7935610.39678
M50.3044295634920813.6661270.0830.9340720.467036
M614.35913690476193.6623513.92070.0002130.000106
M7-18.42901289682543.659693-5.03574e-062e-06
M8-17.20287698412703.658156-4.70261.4e-057e-06
M96.266830357142873.7990891.64960.1037850.051892
M106.883442460317463.7963861.81320.0743550.037177
M112.700054563492073.7947630.71150.4792690.239634
t0.1167212301587310.0640781.82150.0730570.036529


Multiple Linear Regression - Regression Statistics
Multiple R0.881461940737189
R-squared0.776975152968172
Adjusted R-squared0.733046016431599
F-TEST (value)17.6870117244694
F-TEST (DF numerator)13
F-TEST (DF denominator)66
p-value1.11022302462516e-16
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation6.57178533306778
Sum Squared Residuals2850.43192261904


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1106.792.352857142857414.3471428571426
2110.295.552857142857114.6471428571429
3125.9110.79017857142915.1098214285714
4100.197.04732142857143.05267857142857
5106.498.43303571428577.9669642857143
6114.8112.6044642857142.19553571428574
781.379.93303571428571.36696428571428
88781.27589285714285.72410714285718
9104.2104.862321428571-0.662321428571399
10108105.5956547619052.40434523809523
11105101.5289880952383.47101190476192
1294.598.9456547619047-4.44565476190473
139293.7535119047619-1.75351190476185
1495.996.9535119047619-1.0535119047619
15108.8112.190833333333-3.39083333333333
16103.498.44797619047624.95202380952382
17102.199.83369047619052.26630952380952
18110.1114.005119047619-3.90511904761906
1983.281.33369047619051.86630952380953
2082.782.67654761904760.0234523809523808
21106.8106.2629761904760.537023809523803
22113.7106.9963095238106.70369047619048
23102.5102.929642857143-0.429642857142853
2496.6100.346309523810-3.74630952380952
2592.195.1541666666666-3.05416666666662
2695.698.3541666666667-2.75416666666667
27102.3113.591488095238-11.2914880952381
2898.699.848630952381-1.24863095238096
2998.2101.234345238095-3.03434523809524
30104.5115.405773809524-10.9057738095238
318482.73434523809521.26565476190476
3273.884.0772023809524-10.2772023809524
33103.9107.663630952381-3.76363095238096
34106108.396964285714-2.39696428571429
3597.2104.330297619048-7.13029761904762
36102.6101.7469642857140.85303571428571
378996.5548214285714-7.55482142857139
3893.899.7548214285714-5.95482142857143
39116.7120.530892857143-3.83089285714285
40106.8106.7880357142860.0119642857142910
4198.5108.17375-9.67375
42118.7122.345178571429-3.64517857142857
439089.673750.326250000000014
4491.991.01660714285710.883392857142863
45113.3114.603035714286-1.30303571428572
46113.1115.336369047619-2.23636904761905
47104.1111.269702380952-7.16970238095238
48108.7108.6863690476190.0136309523809659
4996.7103.494226190476-6.79422619047614
50101106.694226190476-5.69422619047618
51116.9121.931547619048-5.03154761904762
52105.8108.188690476190-2.38869047619048
5399109.574404761905-10.5744047619048
54129.4123.7458333333335.65416666666667
558391.0744047619048-8.07440476190475
5688.992.4172619047619-3.51726190476191
57115.9116.003690476190-0.103690476190482
58104.2116.737023809524-12.5370238095238
59113.4112.6703571428570.72964285714286
60112.2110.0870238095242.11297619047620
61100.8104.894880952381-4.09488095238091
62107.3108.094880952381-0.794880952380956
63126.6123.3322023809523.2677976190476
64102.9109.589345238095-6.68934523809524
65117.9110.9750595238106.92494047619047
66128.8125.1464880952383.6535119047619
6787.592.4750595238095-4.97505952380952
6893.893.8179166666667-0.0179166666666888
69122.7117.4043452380955.29565476190475
70126.2118.1376785714298.06232142857142
71124.6114.07101190476210.5289880952381
72116.7111.4876785714295.21232142857142
73115.2106.2955357142868.90446428571433
74111.1109.4955357142861.60446428571427
75129.9124.7328571428575.16714285714284
76113.3110.992.30999999999998
77118.5112.3757142857146.1242857142857
78133.5126.5471428571436.95285714285712
79102.193.87571428571438.2242857142857
80102.495.21857142857157.18142857142855


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
170.8506857238420550.2986285523158910.149314276157945
180.7677333137551480.4645333724897030.232266686244852
190.8041273600468640.3917452799062720.195872639953136
200.7332587026081410.5334825947837190.266741297391859
210.7463894129642750.507221174071450.253610587035725
220.8613924087024780.2772151825950440.138607591297522
230.8165121328341240.3669757343317520.183487867165876
240.7814631023095760.4370737953808470.218536897690424
250.723915644212780.552168711574440.27608435578722
260.670711354617380.6585772907652410.329288645382620
270.7059622602065250.588075479586950.294037739793475
280.6788862943605930.6422274112788130.321113705639407
290.6196978566178830.7606042867642330.380302143382117
300.5895926455340060.8208147089319870.410407354465994
310.681537656482340.6369246870353210.318462343517660
320.6554724662152060.6890550675695870.344527533784794
330.6090617205530050.781876558893990.390938279446995
340.5525393491610650.894921301677870.447460650838935
350.4854547373859150.970909474771830.514545262614085
360.6236476787530030.7527046424939950.376352321246997
370.5497838986207830.9004322027584330.450216101379217
380.4702724683835930.9405449367671860.529727531616407
390.3981626741813170.7963253483626340.601837325818683
400.4398007408973820.8796014817947630.560199259102618
410.4348199461334760.8696398922669520.565180053866524
420.397270170051040.794540340102080.60272982994896
430.4731765924586140.9463531849172290.526823407541386
440.561165722929810.877668554140380.43883427707019
450.5096573249503160.9806853500993680.490342675049684
460.5356388739481620.9287222521036770.464361126051838
470.4957110669722320.9914221339444640.504288933027768
480.4770366368454860.9540732736909720.522963363154514
490.4002212154469110.8004424308938210.599778784553089
500.3327511346241690.6655022692483390.66724886537583
510.2658814767582070.5317629535164140.734118523241793
520.3214927486948650.6429854973897310.678507251305135
530.3642121603506840.7284243207013690.635787839649316
540.6915631338431890.6168737323136220.308436866156811
550.6067957976191150.7864084047617710.393204202380885
560.5449117355374580.9101765289250830.455088264462542
570.4783281329656620.9566562659313230.521671867034338
580.79695995332240.4060800933552010.203040046677601
590.766188912244350.4676221755113010.233811087755651
600.707391566791330.5852168664173410.292608433208671
610.7362459180331330.5275081639337350.263754081966867
620.6341514928883190.7316970142233630.365848507111681
630.5615043544903560.8769912910192870.438495645509644


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level00OK
10% type I error level00OK