Multiple Linear Regression - Estimated Regression Equation
Y[t] = + 107.686862159163 + 0.20703592981642X[t] -11.3174485983840M1[t] -12.0618113824309M2[t] -0.307164690430088M3[t] -9.75940120697196M4[t] -10.6488473122473M5[t] -0.642562896732687M6[t] -12.7244730330837M7[t] -10.4690179481477M8[t] + 2.01657183169863M9[t] + 0.782200575551756M10[t] -2.64362276486180M11[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)107.6868621591638.57023812.565200
X0.207035929816420.1180721.75350.0859050.042952
M1-11.31744859838403.350942-3.37740.0014590.000729
M2-12.06181138243093.503977-3.44230.0012050.000602
M3-0.3071646904300883.753879-0.08180.9351250.467563
M4-9.759401206971963.546981-2.75150.0083460.004173
M5-10.64884731224733.518271-3.02670.0039670.001984
M6-0.6425628967326873.829111-0.16780.8674380.433719
M7-12.72447303308373.781705-3.36470.0015140.000757
M8-10.46901794814773.661606-2.85910.0062680.003134
M92.016571831698633.893120.5180.6068490.303425
M100.7822005755517563.8519370.20310.8399410.419971
M11-2.643622764861803.560867-0.74240.4614570.230728


Multiple Linear Regression - Regression Statistics
Multiple R0.826905728562082
R-squared0.683773083928788
Adjusted R-squared0.604716354910984
F-TEST (value)8.64914463858992
F-TEST (DF numerator)12
F-TEST (DF denominator)48
p-value1.95141472980609e-08
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation5.50996467144787
Sum Squared Residuals1457.26611266898


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1100.6111.213889728616-10.6138897286156
2104.3111.670335337504-7.37033533750414
3120.4125.971523966247-5.5715239662469
4107.5114.552446116449-7.05244611644906
5102.9113.331742523467-10.4317425234674
6125.6126.46426947921-0.86426947920999
7107.5106.8876586835050.612341316495469
8108.8109.764221557890-0.964221557889849
9128.4128.543703604155-0.143703604155318
10121.1126.129227548055-5.02922754805487
11119.5121.067820362092-1.56782036209158
12128.7123.6907395339725.00926046602824
13108.7110.50996756724-1.80996756723996
14105.5110.096862270899-4.59686227089934
15119.8124.294532934734-4.49453293473391
16111.3113.475859281404-2.17585928140367
17110.6111.509826341083-0.909826341082922
18120.1124.435317367009-4.33531736700908
1997.5106.204440115110-8.70444011511035
20107.7109.64-1.94
21127.3128.315964081357-1.01596408135727
22117.2124.410829330579-7.21082933057857
23119.8122.703404207641-2.90340420764131
24116.2123.752850312917-7.55285031291667
25111110.6962999040750.303700095925263
26112.4111.2562634778711.14373652212872
27130.6125.1226766540005.47732334600041
28109.1112.875455084936-3.77545508493606
29118.8113.5801856392475.21981436075288
30123.9124.704464075770-0.804464075770418
31101.6105.769664662496-4.16966466249588
32112.8109.8884431157802.91155688422029
33128126.7631946077341.23680539226588
34129.6126.1499311410373.45006885896349
35125.8121.2334491059454.56655089405528
36119.5122.220784432275-2.72078443227517
37115.7110.9033358338914.79666416610885
38113.6109.9726407130093.62735928699051
39129.7123.4249820295056.27501797049504
40112111.6125359130560.387464086944115
41116.8111.3234940042485.47650599575186
42127123.4415449038903.55845509610974
43112.1106.5978083817625.50219161823844
44114.2110.3232185683943.87678143160582
45121.1125.810829330579-4.71082933057859
46131.6127.5163682778254.08363172217512
47125121.2127455129633.78725448703692
48120.4121.164901190211-0.764901190211415
49117.7111.0896681707266.61033182927407
50117.5110.3038982007167.19610179928424
51120.6122.286284415515-1.68628441551464
52127.5114.88370360415512.6162963958447
53112.3111.6547514919540.64524850804559
54124.5122.0544041741202.44559582587975
55115.2108.4404281571286.75957184287232
56104.7108.584116757936-3.88411675793626
57130.9126.2663083761754.6336916238253
58129.2124.4936437025054.70635629749484
59113.5117.382580811359-3.88258081135931
60125.6119.5707245306256.029275469375
61107.6106.8868387954530.713161204547389


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
160.2876916682373850.5753833364747710.712308331762615
170.2099956405517880.4199912811035760.790004359448212
180.3508570951881270.7017141903762540.649142904811873
190.5806118797373840.8387762405252320.419388120262616
200.4619827321092320.9239654642184650.538017267890768
210.3528525014444060.7057050028888110.647147498555594
220.3657377211647010.7314754423294030.634262278835299
230.3018248678481650.603649735696330.698175132151835
240.6635551871595150.672889625680970.336444812840485
250.6876200924893180.6247598150213630.312379907510682
260.7394532587238440.5210934825523120.260546741276156
270.8048430763310470.3903138473379060.195156923668953
280.8434791536717640.3130416926564720.156520846328236
290.8875023352713040.2249953294573930.112497664728696
300.8855788475866750.228842304826650.114421152413325
310.898112425211020.2037751495779600.101887574788980
320.8664168637741650.2671662724516690.133583136225835
330.8067875598335650.386424880332870.193212440166435
340.8066259247070180.3867481505859650.193374075292982
350.7702647408421830.4594705183156350.229735259157817
360.8160112013811170.3679775972377670.183988798618883
370.7996029332788470.4007941334423050.200397066721153
380.7622865981071880.4754268037856240.237713401892812
390.7621103626260470.4757792747479060.237889637373953
400.7811307011854410.4377385976291170.218869298814559
410.7559429225073290.4881141549853430.244057077492671
420.6459268457019570.7081463085960870.354073154298043
430.5631212104159440.8737575791681120.436878789584056
440.5055983419118230.9888033161763540.494401658088177
450.6022785050619030.7954429898761940.397721494938097


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