Multiple Linear Regression - Estimated Regression Equation
Totind[t] = + 46.4685613985971 + 0.828848799543308Bouw[t] -24.2841155640517M1[t] -20.5272664539229M2[t] -18.9232609508728M3[t] -17.1845038834123M4[t] -9.00664576411686M5[t] -12.8480048818791M6[t] -18.6063736299789M7[t] -16.9510502820422M8[t] -21.7551612748004M9[t] -21.1713499314306M10[t] -21.0023788224435M11[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)46.46856139859714.789299.702600
Bouw0.8288487995433080.0902839.180500
M1-24.28411556405174.638361-5.23554e-062e-06
M2-20.52726645392295.704246-3.59860.0007670.000384
M3-18.92326095087285.535117-3.41880.0013090.000655
M4-17.18450388341234.746291-3.62060.0007180.000359
M5-9.006645764116863.3884-2.65810.0107070.005353
M6-12.84800488187913.708833-3.46420.0011450.000573
M7-18.60637362997894.319096-4.30798.3e-054.2e-05
M8-16.95105028204224.980495-3.40350.0013690.000685
M9-21.75516127480044.85043-4.48524.7e-052.3e-05
M10-21.17134993143064.743194-4.46355e-052.5e-05
M11-21.00237882244355.611403-3.74280.0004950.000248


Multiple Linear Regression - Regression Statistics
Multiple R0.931388917304204
R-squared0.867485315277098
Adjusted R-squared0.833651778752102
F-TEST (value)25.6398060733674
F-TEST (DF numerator)12
F-TEST (DF denominator)47
p-value1.11022302462516e-16
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation3.86091525901995
Sum Squared Residuals700.613331954655


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
196.899.1844993121189-2.38449931211888
2114.1115.208310655489-1.10831065548852
3110.3113.331151200457-3.03115120045669
4103.9104.792183153580-0.892183153580134
5101.6103.604049838036-2.00404983803623
694.693.21478520388191.38521479611812
795.996.5737532507584-0.673753250758427
8104.7104.1967879554070.503212044593087
9102.8108.178474237808-5.37847423780787
1098.1100.473797585745-2.37379758574459
11113.9115.644931966466-1.74493196646551
1280.983.020793458457-2.120793458457
1395.799.764693471799-4.06469347179901
14113.2114.959656015626-1.75965601562551
15105.9107.529209603654-1.62920960365353
16108.8106.8643051524381.93569484756157
17102.3100.8688487995431.43115120045669
189997.19325944168981.80674055831024
19100.797.4854869302563.21451306974394
20115.5115.1375921093790.362407890621414
21100.798.06651888337952.63348111662049
22109.9107.3532426219542.546757378046
23114.6113.241270447791.35872955221007
2485.483.5181027381831.88189726181702
25100.5100.0962329916160.403767008383655
26114.8114.7110013757630.0889986242374845
27116.5114.4086546398632.09134536013700
28112.9114.241059468374-1.34105946837387
29102101.8634673589950.136532641004724
30106104.2384742378081.76152576219212
31105.3103.5360831669221.76391683307779
32118.8117.7899082679171.01009173208283
33106.1101.2990292015984.80097079840157
34109.3106.1099694226393.19003057736094
35117.2114.1530041272883.04699587271244
3692.588.82273505526023.67726494473985
37104.2103.9089374695160.291062530484445
38112.5110.6496422580001.85035774199969
39122.4122.2827182355240.117281764475588
40113.3111.6716281897901.62837181021038
4110097.553453601372.44654639862993
42110.7110.1233007145650.57669928543464
43112.8110.2497584432232.55024155677699
44109.8100.7156229973259.08437700267496
45117.3115.3894587938351.91054120616534
46109.1106.1928543025932.90714569740662
47115.9112.2466518883383.65334811166205
489693.63005809261132.36994190738866
4999.894.04563675495025.7543632450498
50116.8115.8713896951230.928610304876852
51115.7113.2482663205022.45173367949763
5299.4100.730824035818-1.33082403581795
5394.396.310180402055-2.01018040205512
549196.5301804020551-5.53018040205512
5593.2100.054918208840-6.8549182088403
56103.1114.060088669972-10.9600886699723
5794.198.0665188833795-3.96651888337952
5891.898.070136067069-6.27013606706896
59102.7109.014141570119-6.31414157011906
6082.688.4083106554885-5.80831065548851


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
160.05053999997940050.1010799999588010.9494600000206
170.03479769983959980.06959539967919960.9652023001604
180.01303499360217210.02606998720434420.986965006397828
190.01655241535702220.03310483071404430.983447584642978
200.005984594020739190.01196918804147840.99401540597926
210.01734448186980100.03468896373960190.9826555181302
220.03401371127416940.06802742254833890.96598628872583
230.02029151425672670.04058302851345350.979708485743273
240.01583290996338640.03166581992677290.984167090036614
250.01285098944142290.02570197888284580.987149010558577
260.006572851718887260.01314570343777450.993427148281113
270.007173854722924070.01434770944584810.992826145277076
280.003494480614730130.006988961229460260.99650551938527
290.001536391838201440.003072783676402890.998463608161799
300.0007666562936442140.001533312587288430.999233343706356
310.0003671859954180080.0007343719908360150.999632814004582
320.000149394040772430.000298788081544860.999850605959228
330.0003656392650739640.0007312785301479290.999634360734926
340.0002547887455958350.000509577491191670.999745211254404
350.0001666751376788270.0003333502753576550.999833324862321
360.0001565433395554510.0003130866791109020.999843456660445
370.00010755808405020.00021511616810040.99989244191595
385.11361248403169e-050.0001022722496806340.99994886387516
392.10439500429032e-054.20879000858065e-050.999978956049957
407.31815082770792e-061.46363016554158e-050.999992681849172
413.27988317841344e-066.55976635682688e-060.999996720116822
421.04301186306898e-062.08602372613796e-060.999998956988137
437.50727420375316e-071.50145484075063e-060.99999924927258
440.04206855035803960.08413710071607920.95793144964196


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level160.551724137931034NOK
5% type I error level250.862068965517241NOK
10% type I error level280.96551724137931NOK