Multiple Linear Regression - Estimated Regression Equation
bouw[t] = -39.6100382738278 -1.37967687409676mannen[t] + 2.15587514738497vrouwen[t] + 0.958850147549073voeding[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-39.610038273827854.883119-0.72170.4734190.23671
mannen-1.379676874096763.639731-0.37910.7060520.353026
vrouwen2.155875147384972.6006370.8290.4105740.205287
voeding0.9588501475490730.2791933.43440.0011140.000557


Multiple Linear Regression - Regression Statistics
Multiple R0.464567423905489
R-squared0.215822891354183
Adjusted R-squared0.174550411951771
F-TEST (value)5.22922040253227
F-TEST (DF numerator)3
F-TEST (DF denominator)57
p-value0.00293789281644452
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation14.7866480509924
Sum Squared Residuals12462.7627532833


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
192.983.55669520915739.3433047908427
2107.793.19505502296414.504944977036
3103.587.815004674924115.6849953250759
491.186.90995686947524.19004313052477
579.891.3079546585775-11.5079546585775
671.978.3872951518937-6.48729515189367
782.971.555641619066611.3443583809334
890.185.58583185033264.51416814966737
9100.780.743946142129919.9560538578701
1090.780.93609431797769.76390568202236
11108.894.45365803056114.3463419694389
1244.176.0913701680762-31.9913701680762
1393.688.01109685455625.58890314544378
14107.493.770980185333613.6290198146664
1596.587.63495431485978.86504568514028
1693.691.98531713350461.61468286649538
1776.590.8702341111198-14.3702341111198
1876.782.8696952138077-6.1696952138077
198474.38417894491859.61582105508151
20103.392.746466807403310.5535331925967
2188.579.92823783345518.57176216654486
229990.44043044815888.55956955184115
23105.995.114126684578210.7858733154218
2444.782.1517626515776-37.4517626515776
259492.70528164626011.29471835373987
26107.194.132074125640612.9679258743594
27104.8101.1140300891633.68596991083705
28102.597.62008688533154.87991311466849
2977.789.5474804584932-11.8474804584932
3085.288.630712983599-3.43071298359891
3191.382.8658924288598.4341075711409
32106.5100.4904699563366.00953004366404
3392.489.64435869342622.75564130657377
3497.591.99484231201975.50515768798032
3510796.878432546539210.1215674534608
3651.189.2741465978703-38.1741465978703
3798.691.27662731211827.32337268788184
38102.295.20174554542666.99825445457343
39114.3109.1471553575435.15284464245709
4099.4103.483393969023-4.08339396902264
4172.592.2106667542604-19.7106667542604
4292.394.3445696379372-2.04456963793725
4399.487.585976854814511.8140231451855
4485.988.311967520377-2.41196752037709
45109.496.612874351577412.7871256484226
4697.691.02056541874326.57943458125681
47104.792.976753652121511.7232463478785
4856.997.368584069581-40.4685840695810
4986.786.9901782110005-0.290178211000469
50108.5103.9155622186784.58443778132224
51103.4108.453135989208-5.05313598920799
5286.291.8640352164309-5.6640352164309
537198.7957546952995-27.7957546952995
5475.983.1295887690594-7.22958876905944
5587.181.4636282172145.63637178278597
5610293.41433298074368.58566701925643
5788.590.832598174182-2.33259817418197
5887.885.4447721604812.35522783951893
59100.897.88995059717462.91004940282537
6050.691.4229568621009-40.8229568621009
6185.990.0988318429583-4.19883184295828


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
70.08698088992322090.1739617798464420.913019110076779
80.05583064251193680.1116612850238740.944169357488063
90.05693879575911620.1138775915182320.943061204240884
100.2003630447677140.4007260895354280.799636955232286
110.1275240307666480.2550480615332960.872475969233352
120.6201188920480270.7597622159039460.379881107951973
130.5257811754477620.9484376491044760.474218824552238
140.4452772674525090.8905545349050180.554722732547491
150.3622135136043350.724427027208670.637786486395665
160.3222984218563690.6445968437127390.67770157814363
170.3783642081248170.7567284162496330.621635791875183
180.296121403900840.592242807801680.70387859609916
190.2906578706394090.5813157412788190.70934212936059
200.2450729805580990.4901459611161980.754927019441901
210.2047698075353630.4095396150707260.795230192464637
220.1643363440484120.3286726880968240.835663655951588
230.1371082884809800.2742165769619610.86289171151902
240.4646028345793410.9292056691586810.535397165420659
250.3886962246144820.7773924492289640.611303775385518
260.3671078634112290.7342157268224590.632892136588771
270.3270595988767130.6541191977534270.672940401123287
280.2862199994883370.5724399989766740.713780000511663
290.2764887804959540.5529775609919080.723511219504046
300.2212518591434850.4425037182869710.778748140856515
310.2060801846785160.4121603693570320.793919815321484
320.2007199001211310.4014398002422620.799280099878869
330.1760463702069250.352092740413850.823953629793075
340.1530433845221390.3060867690442780.84695661547786
350.1729883532203430.3459767064406850.827011646779657
360.5895928666931480.8208142666137030.410407133306852
370.5363486073941940.9273027852116110.463651392605806
380.4996529700034850.999305940006970.500347029996515
390.4769129377337210.9538258754674420.523087062266279
400.4267017587438550.853403517487710.573298241256145
410.4712649863112780.9425299726225560.528735013688722
420.3886365391459570.7772730782919140.611363460854043
430.3365049873170020.6730099746340030.663495012682998
440.3263653611883510.6527307223767030.673634638811649
450.2674072316372680.5348144632745370.732592768362732
460.2227843186764790.4455686373529580.77721568132352
470.2921431305637510.5842862611275020.707856869436249
480.5235571998221890.9528856003556220.476442800177811
490.4393387757007210.8786775514014430.560661224299279
500.432995353791130.865990707582260.56700464620887
510.3438080939501820.6876161879003640.656191906049818
520.2697377970778080.5394755941556150.730262202922192
530.2105132142938320.4210264285876640.789486785706168
540.1313330765128370.2626661530256750.868666923487162


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