Multiple Linear Regression - Estimated Regression Equation
elektrictietsindex[t] = + 101.353243204545 + 14.6742235386364dumivariable[t] -0.0137343840908889M1[t] -2.22380407227273M2[t] -3.83379648M3[t] -1.70781196000000M4[t] + 1.06505220772727M5[t] + 1.29236566772727M6[t] + 1.07082164772728M7[t] + 1.10784808772727M8[t] + 2.39602778772727M9[t] + 2.57769504772728M10[t] -0.165457779999996M11[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)101.3532432045453.43357329.518300
dumivariable14.67422353863642.1686926.766400
M1-0.01373438409088894.500581-0.00310.9975780.498789
M2-2.223804072272734.718256-0.47130.6395480.319774
M3-3.833796484.698277-0.8160.4185310.209265
M4-1.707811960000004.698277-0.36350.7178290.358915
M51.065052207727274.7182560.22570.822370.411185
M61.292365667727274.7182560.27390.7853310.392665
M71.070821647727284.7182560.2270.8214240.410712
M81.107848087727274.7182560.23480.8153620.407681
M92.396027787727274.7182560.50780.6139050.306952
M102.577695047727284.7182560.54630.5873740.293687
M11-0.1654577799999964.698277-0.03520.9720530.486027


Multiple Linear Regression - Regression Statistics
Multiple R0.707474490780227
R-squared0.500520155104742
Adjusted R-squared0.375650193880927
F-TEST (value)4.00833114865487
F-TEST (DF numerator)12
F-TEST (DF denominator)48
p-value0.000267584983496993
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation7.42862879287303
Sum Squared Residuals2648.85723563050


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
197.57101.339508820454-3.76950882045444
297.7499.1294391322728-1.38943913227276
397.9297.51944672454540.400553275454549
498.1999.6454312445454-1.45543124454546
598.23102.418295412273-4.18829541227272
698.41102.645608872273-4.23560887227273
798.59102.424064852273-3.83406485227272
898.71102.461091292273-3.75109129227273
999.14103.749270992273-4.60927099227272
1099.62103.930938252273-4.31093825227272
11100.18115.862008963182-15.6820089631818
12100.66116.027466743182-15.3674667431818
13101.19116.013732359091-14.8237323590909
14101.75113.803662670909-12.0536626709091
15102.2112.193670263182-9.99367026318181
16102.87114.319654783182-11.4496547831818
1798.81102.418295412273-3.60829541227273
1897.6102.645608872273-5.04560887227273
1996.68102.424064852273-5.74406485227272
2095.96102.461091292273-6.50109129227273
2198.89103.749270992273-4.85927099227272
2299.05103.930938252273-4.88093825227273
2399.2101.187785424545-1.98778542454545
2499.11101.353243204545-2.24324320454545
2599.19101.339508820455-2.14950882045457
2699.7799.12943913227270.640560867727276
27100.695686797.51944672454553.17623997545454
28100.775193899.64543124454541.12976255545454
29100.5267342102.418295412273-1.89156121227272
30101.013715102.645608872273-1.63189387227272
31100.9242695102.424064852273-1.49979535227274
32101.1031604102.461091292273-1.35793089227273
33103.1107136103.749270992273-0.638557392272729
34102.991453103.930938252273-0.939485252272721
35102.3057046101.1877854245451.11791917545454
36102.6137945101.3532432045451.26055129545454
37103.6772014101.3395088204552.33769257954544
38104.720731599.12943913227275.59129236772728
39107.662492597.519446724545510.1430457754545
40108.874975299.64543124454559.22954395545454
41108.1196581102.4182954122735.70136268772727
42107.6128006102.6456088722734.96719172772727
43106.4201948102.4240648522733.99612994772727
44105.6052475102.4610912922733.14415620772728
45105.7145697103.7492709922731.96529870772727
46105.4859869103.9309382522731.55504864772727
47105.5654939101.1877854245454.37770847545455
48105.177897101.3532432045453.82465379545455
49106.0922282101.3395088204554.75271937954543
50106.340687799.12943913227277.21124856772728
51108.4675015112.193670263182-3.72616876318182
52116.8654343114.3196547831822.54577951681819
53121.0793083117.0925189509093.98678934909090
54123.2657523117.3198324109095.94591988909092
55124.1800835117.0982883909097.0817951090909
56125.6012721117.1353148309098.46595726909092
57126.5652952118.4234945309098.14180066909091
58127.1814749118.6051617909098.57631310909091
59128.0361757115.86200896318212.1741667368182
60128.5529716116.02746674318212.5255048568182
61129.6660704116.01373235909113.6523380409091


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
160.0004167718052786830.0008335436105573670.999583228194721
175.55740633752767e-050.0001111481267505530.999944425936625
181.36792321537974e-052.73584643075948e-050.999986320767846
193.95291394501148e-057.90582789002296e-050.99996047086055
200.0001311598950071000.0002623197900142000.999868840104993
212.9286647549791e-055.8573295099582e-050.99997071335245
227.05248664720533e-061.41049732944107e-050.999992947513353
231.47636935649005e-052.95273871298011e-050.999985236306435
248.6436008291465e-061.7287201658293e-050.99999135639917
255.24230628149549e-061.04846125629910e-050.999994757693718
262.97874849890889e-065.95749699781778e-060.9999970212515
272.08104443612206e-064.16208887224413e-060.999997918955564
289.24915554449449e-071.84983110889890e-060.999999075084446
296.8629426476618e-071.37258852953236e-060.999999313705735
301.36986573602832e-062.73973147205664e-060.999998630134264
312.91535187153434e-065.83070374306869e-060.999997084648129
327.89633299694378e-061.57926659938876e-050.999992103667003
331.77083396945187e-053.54166793890374e-050.999982291660306
342.51089268843423e-055.02178537686845e-050.999974891073116
354.35089817103412e-058.70179634206825e-050.99995649101829
366.78666978961213e-050.0001357333957922430.999932133302104
370.0002098141362598310.0004196282725196620.99979018586374
380.0003672627388985910.0007345254777971820.999632737261101
390.082589841380040.165179682760080.91741015861996
400.5986953958653560.8026092082692870.401304604134644
410.9040784607015880.1918430785968250.0959215392984123
420.9796963006832280.04060739863354480.0203036993167724
430.9950581187889930.009883762422014030.00494188121100701
440.99537041525680.00925916948640050.00462958474320025
450.9937851269238160.01242974615236850.00621487307618425


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level250.833333333333333NOK
5% type I error level270.9NOK
10% type I error level270.9NOK