Multiple Linear Regression - Estimated Regression Equation
Y[t] = + 16.11068832504 + 0.00550259812927356X[t] + 0.563481661967873Y1[t] + 0.264939208226435Y2[t] -0.0089156783423854M1[t] -1.63469029339611M2[t] + 1.55987630003095M3[t] + 0.681932272652926M4[t] + 0.249103850212106M5[t] + 0.170577036072006M6[t] + 0.0643935082957647M7[t] -1.38645209180325M8[t] + 0.9533266763827M9[t] + 0.0969898423860808M10[t] -0.171226582904688M11[t] + 0.0245832256744107t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)16.110688325044.3494663.70410.0006130.000307
X0.005502598129273560.0008696.334500
Y10.5634816619678730.139384.04280.0002210.00011
Y20.2649392082264350.1304382.03110.0486010.0243
M1-0.00891567834238540.184012-0.04850.9615860.480793
M2-1.634690293396110.183923-8.887900
M31.559876300030950.2853585.46642e-061e-06
M40.6819322726529260.3618671.88450.0664330.033216
M50.2491038502121060.1841431.35280.1833650.091683
M60.1705770360720060.1884060.90540.3704360.185218
M70.06439350829576470.1859280.34630.730820.36541
M8-1.386452091803250.185907-7.457800
M90.95332667638270.2575043.70220.0006170.000308
M100.09698984238608080.287760.33710.7377570.368878
M11-0.1712265829046880.19489-0.87860.3846280.192314
t0.02458322567441070.0093082.64120.0115530.005776


Multiple Linear Regression - Regression Statistics
Multiple R0.99806437715787
R-squared0.996132500951525
Adjusted R-squared0.994751251291355
F-TEST (value)721.182078574541
F-TEST (DF numerator)15
F-TEST (DF denominator)42
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.272965625676694
Sum Squared Residuals3.12942977764490


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
198.298.5616958491187-0.361695849118701
296.9296.7822085694420.137791430558001
399.0699.2114826631318-0.151482663131774
499.6599.31949511933310.330504880666927
599.8299.80627193022890.0137280697711273
699.9999.96316487118170.0268351288182420
7100.33100.0939298926940.236070107306488
899.3198.931253679570.378746320430079
9101.1100.8747738473200.225226152680380
10101.1100.7781128626510.321887137348628
11100.93100.962499021474-0.0324990214744211
12100.85101.02509928024-0.175099280239939
13100.93100.982013438553-0.0520134385528849
1499.699.494397794980.105602205019939
15101.88101.968804345935-0.0888043459345502
16101.81102.065420900590-0.255420900590195
17102.38102.3279935261370.0520064738627035
18102.74102.6047519908770.135248009123261
19102.82102.85776134232-0.037761342319952
20101.72101.6368862737400.0831137262602805
21103.47103.3899576003960.0800423996037959
22102.98103.125203494870-0.145203494869545
23102.68103.027288149503-0.347288149502712
24102.9102.936338963345-0.0363389633449008
25103.03103.044363317567-0.0143633175666123
26101.29101.482267521481-0.192267521481133
27103.69103.815379665437-0.125379665437035
28103.68103.902353753493-0.222353753492841
29104.2104.1958616155310.00413838446924012
30104.08104.433929878645-0.353929878644888
31104.16104.463199391541-0.303199391541281
32103.05103.120656101142-0.070656101141637
33104.66104.829574424274-0.169574424273526
34104.46104.696234041592-0.236234041591993
35104.95104.8517469058300.0982530941696496
36105.85105.3911817861600.458818213840477
37106.23106.0201418693380.209858130662301
38104.86104.938100236274-0.0781002362741863
39107.44107.578950985990-0.138950985990441
40108.23107.9347120166730.295287983326902
41108.45108.731646604082-0.281646604082416
42109.39109.2063131893380.183686810662242
43110.15109.8441843705850.305815629414825
44109.13109.130977802829-0.000977802829298137
45110.28110.841860054954-0.56186005495448
46110.17110.163366361830.00663363816999925
47109.99109.7084659231930.281534076807483
48109.26109.507379970256-0.247379970255636
49109.11108.8917855254240.218214474575898
50107.06107.0330258778230.0269741221773794
51109.53109.0253823395060.5046176604938
52108.92109.068018209911-0.148018209910793
53109.24109.0282263240210.211773675979345
54109.12109.1118400699590.00815993004114356
55109109.20092500286-0.20092500286008
56107.23107.620226142719-0.390226142719424
57109.49109.0638340730560.426165926943829
58109.04108.9870832390570.0529167609429108


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
190.1772499204398210.3544998408796420.82275007956018
200.1308189226089430.2616378452178860.869181077391057
210.08912919544359350.1782583908871870.910870804556406
220.0676857564844730.1353715129689460.932314243515527
230.0407010407712560.0814020815425120.959298959228744
240.01785222235413260.03570444470826510.982147777645867
250.007424392563677920.01484878512735580.992575607436322
260.003807830797741770.007615661595483540.996192169202258
270.002690387169929460.005380774339858930.99730961283007
280.001464880566900360.002929761133800720.9985351194331
290.0005881537797589060.001176307559517810.99941184622024
300.002263562796437950.004527125592875890.997736437203562
310.005103802514300230.01020760502860050.9948961974857
320.006751019369270380.01350203873854080.99324898063073
330.005610575737596870.01122115147519370.994389424262403
340.007405742692298770.01481148538459750.9925942573077
350.003745814526026750.00749162905205350.996254185473973
360.008352981413394840.01670596282678970.991647018586605
370.01947532296344170.03895064592688330.980524677036558
380.02689242058421830.05378484116843660.973107579415782
390.01981259211731120.03962518423462250.980187407882689


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level60.285714285714286NOK
5% type I error level150.714285714285714NOK
10% type I error level170.80952380952381NOK