Multiple Linear Regression - Estimated Regression Equation
Y[t] = + 161.73125 + 3.70312500000001X[t] -3.91874999999995M1[t] -14.040625M2[t] -22.1625000000000M3[t] -24.4843750000000M4[t] -26.3468750000000M5[t] -28.66875M6[t] -32.790625M7[t] -34.9125000000001M8[t] -40.634375M9[t] -38.55625M10[t] -6.67812500000001M11[t] -0.678125t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)161.731254.4966735.966900
X3.703125000000013.8942310.95090.3466120.173306
M1-3.918749999999955.134656-0.76320.4492430.224621
M2-14.0406255.124802-2.73970.0087220.004361
M3-22.16250000000005.117124-4.3318e-054e-05
M4-24.48437500000005.111633-4.78991.8e-059e-06
M5-26.34687500000005.141215-5.12466e-063e-06
M6-28.668755.126993-5.59171e-061e-06
M7-32.7906255.114928-6.410800
M8-34.91250000000015.105036-6.838800
M9-40.6343755.097328-7.971700
M10-38.556255.091816-7.572200
M11-6.678125000000015.088506-1.31240.1958980.097949
t-0.6781250.105988-6.398200


Multiple Linear Regression - Regression Statistics
Multiple R0.922606451501705
R-squared0.851202664352567
Adjusted R-squared0.809151243408728
F-TEST (value)20.2419477213234
F-TEST (DF numerator)13
F-TEST (DF denominator)46
p-value8.77076189453874e-15
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation8.0438886132106
Sum Squared Residuals2976.390625


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1161157.1343750000003.86562500000017
2149146.3343752.665625
3139137.5343751.46562499999998
4135134.5343750.465624999999968
5130131.99375-1.99374999999998
6127128.99375-1.99374999999997
7122124.19375-2.19375000000008
8117121.39375-4.39375000000006
9112114.99375-2.99375000000002
10113116.39375-3.39374999999994
11149147.593751.40624999999998
12157153.593753.40625000000001
13157148.9968758.00312499999996
14147138.1968758.803125
15137129.3968757.603125
16132126.3968755.603125
17125123.856251.14374999999999
18123120.856252.14374999999999
19117116.056250.94375000000002
20114113.256250.743750000000013
21111106.856254.14375000000001
22112108.256253.74374999999999
23144139.456254.54375
24150145.456254.54374999999999
25149140.8593758.14062499999996
26134130.0593753.940625
27123121.2593751.74062500000001
28116118.259375-2.25937499999999
29117115.718751.28124999999999
30111112.71875-1.71875000000000
31105107.91875-2.91874999999997
32102105.11875-3.11874999999999
339598.71875-3.71874999999999
3493100.11875-7.11875
35124131.31875-7.31874999999998
36130137.31875-7.31875
37124132.721875-8.72187500000004
38115121.921875-6.921875
39106113.121875-7.12187499999998
40105110.121875-5.12187499999999
41105111.284375-6.28437500000001
42101108.284375-7.28437500000001
4395103.484375-8.48437499999998
4493100.684375-7.68437499999999
458494.284375-10.284375
468795.684375-8.68437500000002
47116126.884375-10.884375
48120132.884375-12.884375
49117128.2875-11.2875000000000
50109117.4875-8.4875
51105108.6875-3.68749999999999
52107105.68751.31250000000001
53109103.1468755.853125
54109100.1468758.853125
5510895.34687512.6531250000000
5610792.54687514.4531250000000
579986.14687512.853125
5810387.54687515.4531250000000
59131118.74687512.253125
60137124.74687512.253125


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
170.002359997541421470.004719995082842940.997640002458579
180.0002649287122507510.0005298574245015010.99973507128775
194.75498500139823e-059.50997000279646e-050.999952450149986
204.8299956388852e-069.6599912777704e-060.999995170004361
212.14177406416343e-064.28354812832686e-060.999997858225936
226.71133508482571e-071.34226701696514e-060.999999328866491
232.16464806705663e-074.32929613411326e-070.999999783535193
244.19736007423164e-078.39472014846329e-070.999999580263993
256.41118728715735e-061.28223745743147e-050.999993588812713
260.0007020976250817050.001404195250163410.999297902374918
270.02779057049736030.05558114099472050.97220942950264
280.3883481844788390.7766963689576770.611651815521161
290.5072733602500590.9854532794998810.492726639749941
300.5729163052315270.8541673895369450.427083694768473
310.57863588383640.84272823232720.4213641161636
320.5281547637128390.9436904725743210.471845236287161
330.6025877692052070.7948244615895860.397412230794793
340.6456312346408110.7087375307183780.354368765359189
350.7394455755226620.5211088489546760.260554424477338
360.8250876191533240.3498247616933530.174912380846677
370.903196565511680.1936068689766420.0968034344883208
380.9191795138121770.1616409723756470.0808204861878233
390.8819766676663890.2360466646672220.118023332333611
400.7989434260617650.402113147876470.201056573938235
410.9439092761868140.1121814476263710.0560907238131857
420.9932962518281410.01340749634371760.00670374817185878
430.9883084327921820.02338313441563640.0116915672078182


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level100.370370370370370NOK
5% type I error level120.444444444444444NOK
10% type I error level130.481481481481481NOK