Multiple Linear Regression - Estimated Regression Equation
Invoer/inflatie[t] = + 609.166987055855 + 19553.7411763901`Uitvoer/inflatie`[t] -4968.06824936545Inflatie[t] -2293.74599688658M1[t] + 748.788773984817M2[t] + 652.42614918149M3[t] + 14.0241082018048M4[t] -1315.63792759216M5[t] -758.668421233577M6[t] -519.441502684909M7[t] + 555.88998307813M8[t] -60.2757250744329M9[t] -187.771360832577M10[t] + 399.126243757439M11[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)609.1669870558556142.5148040.09920.9214320.460716
`Uitvoer/inflatie`19553.74117639017059.0106712.770.0080570.004029
Inflatie-4968.06824936545446.032479-11.138400
M1-2293.74599688658930.868751-2.46410.0175340.008767
M2748.788773984817703.4240321.06450.2926620.146331
M3652.42614918149708.0921170.92140.3616560.180828
M414.0241082018048778.8378150.0180.9857120.492856
M5-1315.63792759216958.077895-1.37320.1763450.088173
M6-758.668421233577872.449772-0.86960.3890430.194521
M7-519.441502684909737.90079-0.70390.4850150.242508
M8555.88998307813748.3965420.74280.4613950.230697
M9-60.2757250744329720.560054-0.08370.9336970.466848
M10-187.771360832577710.956807-0.26410.7928740.396437
M11399.126243757439713.5094680.55940.5786130.289306


Multiple Linear Regression - Regression Statistics
Multiple R0.918613524596436
R-squared0.843850807571488
Adjusted R-squared0.799721687972126
F-TEST (value)19.1223123242115
F-TEST (DF numerator)13
F-TEST (DF denominator)46
p-value2.55351295663786e-14
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation1107.02513224762
Sum Squared Residuals56373213.5976813


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
110284.511663.7803969823-1379.28039698228
21279213143.7157931106-351.715793110617
312823.6153813042.5041924629-218.888812462891
413845.6666713310.9947879301534.671882069892
515335.6363613575.30580194111760.33055805893
611188.512048.7278586968-860.227858696835
713633.2513418.0198494337215.230150566253
812298.4666712575.6916076448-277.22493764477
915353.6363613596.75169343251756.88466656747
1012696.1538512716.2915714523-20.1377214523066
1112213.9333312830.5102058616-616.576875861633
1213683.7272713247.5676591278436.159610872151
1311214.1428611634.7216408813-420.578780881293
1413950.2307713366.8722776739583.358492326066
1511179.1333312285.8562311392-1106.72290113922
1611801.87512015.8932360552-214.018236055246
1711188.8235311464.5273375568-275.703807556811
1816456.2727314594.00278490181862.26994509825
1911110.062511721.3240892292-611.261589229198
2016530.6923114647.72077425251882.97153574752
2110038.4117611537.6807315866-1499.26897158655
2211681.2511272.3229837350408.927016264954
2311148.8823511284.3010451956-135.418695195568
2486319415.16707853373-784.16707853373
259386.4444449809.89254164306-423.448097643058
269764.73684210556.5924529078-791.855610907849
2712043.7512216.8933583909-173.143358390942
2812948.0666712196.7343054748751.332364525167
2910987.12511164.4382179595-177.313217959505
3011648.312511158.8864020904489.426097909624
3110633.3529410674.1166022855-40.763662285505
3210219.39947.41524399624271.884756003761
339037.69620.3043964054-582.704396405403
3410296.3157910279.241395834117.0743941658583
3511705.4117611229.6439781233475.767781876726
3610681.9444410809.5020819589-127.557641958910
379362.9473688489.58941018105873.357957818947
3811306.3529411880.9555816368-574.602641636753
3910984.4510710.5732720158273.876727984227
4010062.6190510186.0802839407-123.461233940748
418118.5833338681.8115464835-563.2282134835
428867.488164.59824136598702.881758634016
438346.726948.617341497251398.10265850275
448529.3076928535.32384399626-6.0161519962549
4510697.181829668.279294640081028.90252535992
468591.847679.65352331848912.18647668152
478695.6071437018.311695941111677.29544705889
488125.5714296565.538081644511560.03334735549
497009.7586215659.809303312321349.94931768769
507883.4666676748.651113670851134.81555332915
517527.6451616302.766816991171224.87834400883
526763.7586217712.28339759907-948.524776599065
536682.3333337426.41865205911-744.085319059113
547855.68181810050.0317609451-2194.34994294505
556738.887700.1875575543-961.3075575543
567895.4347839767.04998511025-1871.61520211025
576361.8846157065.69843893544-703.81382393544
586935.9565228254.00668766003-1318.05016566003
598344.4545459745.52220287841-1401.06765787841
609107.94444410192.412681735-1084.46823773500


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
170.0643966759423020.1287933518846040.935603324057698
180.04227392273082810.08454784546165630.957726077269172
190.02425776319199420.04851552638398830.975742236808006
200.01964686996492090.03929373992984170.98035313003508
210.04473810409108480.08947620818216970.955261895908915
220.1255756342361090.2511512684722180.874424365763891
230.182257522285220.364515044570440.81774247771478
240.2355171528418670.4710343056837330.764482847158133
250.284042299896650.56808459979330.71595770010335
260.2422547401231070.4845094802462140.757745259876893
270.1862637860764810.3725275721529610.81373621392352
280.1693257624591020.3386515249182030.830674237540898
290.1181220416167230.2362440832334470.881877958383277
300.1133139885369470.2266279770738940.886686011463053
310.09571177628304440.1914235525660890.904288223716956
320.0791928505703480.1583857011406960.920807149429652
330.05156334990464750.1031266998092950.948436650095352
340.03845913259193300.07691826518386610.961540867408067
350.03609931098992700.07219862197985410.963900689010073
360.02270864041708300.04541728083416610.977291359582917
370.03788234456066270.07576468912132540.962117655439337
380.02045381773448790.04090763546897570.979546182265512
390.01913792810630760.03827585621261520.980862071893692
400.02437443023518980.04874886047037960.97562556976481
410.01441744214382120.02883488428764230.985582557856179
420.02005142669942480.04010285339884950.979948573300575
430.1827474421199520.3654948842399040.817252557880048


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level80.296296296296296NOK
10% type I error level130.481481481481481NOK