Multiple Linear Regression - Estimated Regression Equation
Bouw[t] = + 6446.10011836946 -106.382518310276Wman[t] -1067.36064862766M1[t] -890.214420729451M2[t] -733.829941000222M3[t] -360.003055411703M4[t] -957.610267625952M5[t] -466.821633868461M6[t] -681.109503773026M7[t] -692.180324776207M8[t] -168.161747244211M9[t] -564.815519346008M10[t] -421.167430827846M11[t] -17.4227315602574t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)6446.100118369461075.7180215.992400
Wman-106.382518310276132.146573-0.8050.4249420.212471
M1-1067.36064862766359.628835-2.9680.0047460.002373
M2-890.214420729451362.268806-2.45730.0178270.008914
M3-733.829941000222363.753797-2.01740.0495120.024756
M4-360.003055411703358.581873-1.0040.3206480.160324
M5-957.610267625952356.157477-2.68870.0099560.004978
M6-466.821633868461356.696624-1.30870.1971250.098562
M7-681.109503773026355.899972-1.91380.0618840.030942
M8-692.180324776207355.223747-1.94860.0574610.028731
M9-168.161747244211355.935043-0.47250.6388390.31942
M10-564.815519346008358.334909-1.57620.1218280.060914
M11-421.167430827846354.848398-1.18690.2413630.120681
t-17.42273156025744.819443-3.61510.0007420.000371


Multiple Linear Regression - Regression Statistics
Multiple R0.611003276177982
R-squared0.373325003500227
Adjusted R-squared0.196221200141595
F-TEST (value)2.10794458628453
F-TEST (DF numerator)13
F-TEST (DF denominator)46
p-value0.0320159092689808
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation561.003319836701
Sum Squared Residuals14477337.3439188


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
139224499.61833986833-577.618339868325
237594701.89484353037-942.89484353037
341384862.1330953614-724.133095361397
446345207.89899755863-573.89899755863
539964571.59255012207-575.592550122068
643085044.9584523193-736.958452319301
741434813.24785085448-670.247850854479
844294816.66905378412-387.669053784123
952195323.26489975586-104.264899755863
1049294951.74140341792-22.7414034179176
1157555035.41375305171719.586246948289
1255925439.1584523193152.841547680700
1341634343.73682030036-180.736820300360
1449624492.82206480728469.177935192721
1552084631.78381297625576.216187023748
1647554966.91146334246-211.911463342458
1744914330.60501590590160.394984094104
1857324793.3326662721938.6673337279
1957314561.622064807281169.37793519272
2050404533.12851224384506.871487756159
2161025071.639113708661030.36088629134
2249044721.39212103277182.607878967227
2353694890.17048531479478.829514685211
2455785325.82994007546252.170059924540
2546194230.40830805652388.591691943481
2647314368.85530073241362.144699267589
2750114497.17879707036513.821202929645
2852994842.94469926759456.055300732411
2941464217.27650366205-71.2765036620552
3046254701.28065769032-76.2806576903159
3147364490.84655988755245.153440112451
3242194451.71475549308-232.714755493083
3351164979.58710512688136.412894873123
3442054608.06360878893-403.063608788932
3541214702.37421025375-581.374210253755
3651035116.75716135237-13.7571613523704
3743004053.25028482651246.749715173488
3845784223.61203299549354.387967004513
3938094373.21203299549-564.212032995487
4055264697.70143153067828.298568469335
4142474050.75673226308196.243267736924
4238304524.12263446031-694.122634460309
4343944334.9650403196059.0349596804023
4448264338.38624324924487.613756750759
4544094876.89684471406-467.896844714064
4645694430.90558555893138.094414441074
4741064440.11017237553-334.110172375528
4847944833.21661981209-39.2166198120883
4939143790.98624694829123.013753051715
5037934035.81575793445-242.815757934454
5144054206.69226159651198.307738403492
5240224520.54340830066-498.543408300659
5341003809.76919804690290.230801953095
5447884219.30558925797568.694410742028
5531633966.31848413109-803.318484131095
5635853959.10143522971-374.101435229711
5739034497.61203669453-594.612036694534
5841784072.89728120145105.102718798549
5938634145.93137900422-282.931379004218
6041874539.03782644078-352.037826440778


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
170.5093303835065950.981339232986810.490669616493405
180.4924215993582760.9848431987165510.507578400641724
190.498576290012670.997152580025340.50142370998733
200.4596843584410680.9193687168821370.540315641558932
210.4047905207283040.8095810414566080.595209479271696
220.4660344888561630.9320689777123260.533965511143837
230.4660968460860620.9321936921721240.533903153913938
240.3655368238754650.731073647750930.634463176124535
250.3186441036299150.637288207259830.681355896370085
260.2309325822300310.4618651644600620.769067417769969
270.1915420351133320.3830840702266630.808457964886668
280.1344564921122660.2689129842245310.865543507887734
290.1284419189456680.2568838378913360.871558081054332
300.1282430087690580.2564860175381170.871756991230942
310.1026660906669170.2053321813338340.897333909333083
320.1106965678025160.2213931356050320.889303432197484
330.1280363085226170.2560726170452340.871963691477383
340.1629040017391440.3258080034782890.837095998260856
350.4104987777570350.8209975555140710.589501222242965
360.3499716799166730.6999433598333460.650028320083327
370.2577101738669780.5154203477339550.742289826133022
380.2064820926523340.4129641853046690.793517907347666
390.247766634589950.49553326917990.75223336541005
400.5374547754662130.9250904490675730.462545224533787
410.4666477947820010.9332955895640010.533352205217999
420.8569663422014110.2860673155971780.143033657798589
430.8176256969883860.3647486060232290.182374303011614


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