Multiple Linear Regression - Estimated Regression Equation
Uitkomst[t] = + 0.185303968656867 + 0.0711269695700534Weken[t] -0.0671051681541314GebruikLimieten[t] -0.0397315280184394Review[t] + 0.0573116309063332GebruikStatistiek[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)0.1853039686568670.1367031.35550.1773020.088651
Weken0.07112696957005340.0401831.77010.078760.03938
GebruikLimieten-0.06710516815413140.086413-0.77660.4386480.219324
Review-0.03973152801843940.094539-0.42030.6748970.337449
GebruikStatistiek0.05731163090633320.0660080.86820.3866550.193328


Multiple Linear Regression - Regression Statistics
Multiple R0.185104513165963
R-squared0.0342636807944081
Adjusted R-squared0.00833787356741245
F-TEST (value)1.32160516717606
F-TEST (DF numerator)4
F-TEST (DF denominator)149
p-value0.264554271046526
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.488632308709574
Sum Squared Residuals35.5754684341125


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
110.362975150764510.63702484923549
200.46981184693708-0.46981184693708
300.469811846937081-0.469811846937081
400.469811846937081-0.469811846937081
500.469811846937081-0.469811846937081
610.4027066787829490.597293321217051
700.469811846937081-0.469811846937081
800.430080318918641-0.430080318918641
910.4698118469370810.530188153062919
1000.402706678782949-0.402706678782949
1100.36297515076451-0.36297515076451
1200.469811846937081-0.469811846937081
1300.527123477843414-0.527123477843414
1400.36297515076451-0.36297515076451
1510.5271234778434140.472876522156586
1610.4873919498249740.512608050175026
1700.477598412577176-0.477598412577176
1800.36297515076451-0.36297515076451
1910.4698118469370810.530188153062919
2010.5447035807313080.455296419268692
2100.402706678782949-0.402706678782949
2210.4600183096892820.539981690310718
2310.4698118469370810.530188153062919
2410.4027066787829490.597293321217051
2510.4873919498249740.512608050175026
2600.527123477843414-0.527123477843414
2710.4027066787829490.597293321217051
2800.527123477843414-0.527123477843414
2910.4698118469370810.530188153062919
3000.469811846937081-0.469811846937081
3100.469811846937081-0.469811846937081
3200.402706678782949-0.402706678782949
3300.402706678782949-0.402706678782949
3410.4300803189186410.569919681081359
3500.469811846937081-0.469811846937081
3600.469811846937081-0.469811846937081
3700.420286781670843-0.420286781670843
3810.5271234778434140.472876522156586
3910.4698118469370810.530188153062919
4000.430080318918641-0.430080318918641
4110.5844351087497470.415564891250253
4210.5271234778434140.472876522156586
4310.4027066787829490.597293321217051
4400.36297515076451-0.36297515076451
4500.469811846937081-0.469811846937081
4610.4698118469370810.530188153062919
4700.469811846937081-0.469811846937081
4810.4698118469370810.530188153062919
4910.4698118469370810.530188153062919
5000.469811846937081-0.469811846937081
5100.487391949824974-0.487391949824974
5200.477598412577176-0.477598412577176
5310.4698118469370810.530188153062919
5400.584435108749747-0.584435108749747
5500.469811846937081-0.469811846937081
5610.4873919498249740.512608050175026
5710.5271234778434140.472876522156586
5810.4698118469370810.530188153062919
5910.4698118469370810.530188153062919
6010.4775984125771760.522401587422824
6110.362975150764510.63702484923549
6200.527123477843414-0.527123477843414
6300.469811846937081-0.469811846937081
6410.362975150764510.63702484923549
6500.469811846937081-0.469811846937081
6600.469811846937081-0.469811846937081
6700.544703580731307-0.544703580731307
6800.402706678782949-0.402706678782949
6910.4698118469370810.530188153062919
7000.527123477843414-0.527123477843414
7100.469811846937081-0.469811846937081
7210.4698118469370810.530188153062919
7310.5271234778434140.472876522156586
7400.460018309689282-0.460018309689282
7510.4698118469370810.530188153062919
7610.4300803189186410.569919681081359
7710.4698118469370810.530188153062919
7810.5271234778434140.472876522156586
7910.5447035807313080.455296419268692
8000.430080318918641-0.430080318918641
8100.469811846937081-0.469811846937081
8210.4600183096892820.539981690310718
8300.469811846937081-0.469811846937081
8400.584435108749747-0.584435108749747
8510.4698118469370810.530188153062919
8600.402706678782949-0.402706678782949
8710.2604527396428420.739547260357158
8810.2780328425307360.721967157469264
8900.327557907796974-0.327557907796974
9010.3275579077969740.672442092203026
9100.327557907796974-0.327557907796974
9200.220721211624403-0.220721211624403
9300.260452739642842-0.260452739642842
9400.327557907796974-0.327557907796974
9500.287826379778534-0.287826379778534
9610.3275579077969740.672442092203026
9700.220721211624403-0.220721211624403
9800.327557907796974-0.327557907796974
9900.260452739642842-0.260452739642842
10010.3275579077969740.672442092203026
10110.2604527396428420.739547260357158
10200.327557907796974-0.327557907796974
10300.327557907796974-0.327557907796974
10400.327557907796974-0.327557907796974
10500.345138010684868-0.345138010684868
10600.327557907796974-0.327557907796974
10700.327557907796974-0.327557907796974
10800.278032842530736-0.278032842530736
10900.327557907796974-0.327557907796974
11000.260452739642842-0.260452739642842
11100.278032842530736-0.278032842530736
11200.287826379778534-0.287826379778534
11300.384869538703307-0.384869538703307
11400.278032842530736-0.278032842530736
11500.260452739642842-0.260452739642842
11600.327557907796974-0.327557907796974
11710.2604527396428420.739547260357158
11800.260452739642842-0.260452739642842
11900.327557907796974-0.327557907796974
12010.3275579077969740.672442092203026
12100.260452739642842-0.260452739642842
12200.327557907796974-0.327557907796974
12300.278032842530736-0.278032842530736
12410.3848695387033070.615130461296693
12510.3275579077969740.672442092203026
12600.287826379778534-0.287826379778534
12700.327557907796974-0.327557907796974
12810.3275579077969740.672442092203026
12900.327557907796974-0.327557907796974
13010.3275579077969740.672442092203026
13100.260452739642842-0.260452739642842
13210.2604527396428420.739547260357158
13300.317764370549176-0.317764370549176
13400.327557907796974-0.327557907796974
13500.327557907796974-0.327557907796974
13600.327557907796974-0.327557907796974
13710.3177643705491760.682235629450824
13810.2780328425307360.721967157469264
13900.287826379778534-0.287826379778534
14000.327557907796974-0.327557907796974
14110.442181169609640.55781883039036
14210.3451380106848670.654861989315133
14300.260452739642842-0.260452739642842
14410.3275579077969740.672442092203026
14500.327557907796974-0.327557907796974
14610.2878263797785340.712173620221466
14700.345138010684868-0.345138010684868
14800.287826379778534-0.287826379778534
14900.260452739642842-0.260452739642842
15010.3275579077969740.672442092203026
15110.3275579077969740.672442092203026
15200.375076001455509-0.375076001455509
15300.375076001455509-0.375076001455509
15400.317764370549176-0.317764370549176


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
81.07381474625245e-482.1476294925049e-481
90.5276447223869960.9447105552260080.472355277613004
100.7169056149422420.5661887701155160.283094385057758
110.73507462587930.52985074824140.2649253741207
120.6461915308506390.7076169382987210.353808469149361
130.5478673561644640.9042652876710720.452132643835536
140.5111123527298380.9777752945403250.488887647270162
150.6013017383641170.7973965232717660.398698261635883
160.5892102396673560.8215795206652870.410789760332644
170.7179950285538610.5640099428922780.282004971446139
180.667776039802790.6644479203944210.33222396019721
190.7246925083506920.5506149832986170.275307491649308
200.7050893100891650.5898213798216690.294910689910835
210.6538723915803320.6922552168393360.346127608419668
220.6618534162491580.6762931675016840.338146583750842
230.6984918516476760.6030162967046480.301508148352324
240.726134916386850.54773016722630.27386508361315
250.7254304136442980.5491391727114030.274569586355702
260.7405707904922630.5188584190154730.259429209507737
270.7565944225483070.4868111549033860.243405577451693
280.7596272125414820.4807455749170360.240372787458518
290.7762318573276610.4475362853446770.223768142672339
300.7591355939558050.4817288120883890.240864406044195
310.7394277890192130.5211444219615740.260572210980787
320.7224920647653460.5550158704693080.277507935234654
330.7010361677989140.5979276644021710.298963832201086
340.7178998138020060.5642003723959880.282100186197994
350.6989374812286560.6021250375426880.301062518771344
360.6785657730673320.6428684538653370.321434226932668
370.6756115290391650.648776941921670.324388470960835
380.6770526103019160.6458947793961680.322947389698084
390.6951093235386170.6097813529227650.304890676461383
400.6789486637196310.6421026725607370.321051336280369
410.6519988439104110.6960023121791770.348001156089589
420.6401556737544560.7196886524910890.359844326245544
430.6655124936887430.6689750126225140.334487506311257
440.6382183028635590.7235633942728820.361781697136441
450.6257196369367680.7485607261264630.374280363063232
460.6405001519143160.7189996961713690.359499848085684
470.6297096813659540.7405806372680920.370290318634046
480.6423861475350750.715227704929850.357613852464925
490.6517859154699880.6964281690600240.348214084530012
500.6440059285583980.7119881428832040.355994071441602
510.6418904282727710.7162191434544590.358109571727229
520.6478581107215210.7042837785569570.352141889278479
530.6530914321216110.6938171357567770.346908567878389
540.6778369806753450.6443260386493110.322163019324655
550.674118337616670.651763324766660.32588166238333
560.6797238012893720.6405523974212560.320276198710628
570.6722719261292090.6554561477415810.327728073870791
580.6759268073807790.6481463852384430.324073192619221
590.6791920026458030.6416159947083940.320807997354197
600.6830885689199540.6338228621600930.316911431080047
610.7127740783897440.5744518432205120.287225921610256
620.7172830241607160.5654339516785670.282716975839284
630.7115031150865740.5769937698268510.288496884913426
640.737192329321170.5256153413576590.26280767067883
650.730695398250740.538609203498520.26930460174926
660.7252498457690150.5495003084619710.274750154230985
670.7340068304059060.5319863391881890.265993169594095
680.7232339316983630.5535321366032750.276766068301637
690.7264912156835970.5470175686328070.273508784316404
700.7349836742422830.5300326515154340.265016325757717
710.7365303743478270.5269392513043460.263469625652173
720.7368676962334760.5262646075330480.263132303766524
730.7294735691237360.5410528617525280.270526430876264
740.7289676333033530.5420647333932940.271032366696647
750.7286736802784680.5426526394430640.271326319721532
760.7380883183638170.5238233632723650.261911681636183
770.7454658986589340.5090682026821320.254534101341066
780.7467599026336190.5064801947327610.253240097366381
790.7530686707467610.4938626585064780.246931329253239
800.7354707951957940.5290584096084130.264529204804206
810.7227325905145260.5545348189709480.277267409485474
820.7472352148141980.5055295703716030.252764785185802
830.7301086911140270.5397826177719470.269891308885973
840.7413688080955590.5172623838088820.258631191904441
850.7593842913065860.4812314173868270.240615708693414
860.7311438363736290.5377123272527420.268856163626371
870.7480705502731370.5038588994537260.251929449726863
880.7745791484739630.4508417030520740.225420851526037
890.7897708088785530.4204583822428930.210229191121447
900.7987402069137430.4025195861725150.201259793086257
910.7988739164663430.4022521670673130.201126083533657
920.7787224350429330.4425551299141330.221277564957066
930.7561659448236610.4876681103526770.243834055176339
940.7401912756137290.5196174487725420.259808724386271
950.7126355190101250.5747289619797510.287364480989875
960.7405972223299590.5188055553400810.259402777670041
970.7069983435687830.5860033128624330.293001656431217
980.6861099302407640.6277801395184720.313890069759236
990.6529952589196640.6940094821606720.347004741080336
1000.6865548752401430.6268902495197130.313445124759857
1010.7441817644098960.5116364711802090.255818235590104
1020.7244944819582220.5510110360835570.275505518041778
1030.7038091139487660.5923817721024680.296190886051234
1040.6825749306222040.6348501387555920.317425069377796
1050.6602927424837650.679414515032470.339707257516235
1060.6378687609239080.7242624781521840.362131239076092
1070.6161032828359090.7677934343281830.383896717164091
1080.5747671577237990.8504656845524010.425232842276201
1090.5525903795250690.8948192409498620.447409620474931
1100.5096328801082930.9807342397834140.490367119891707
1110.4656819054511860.9313638109023730.534318094548814
1120.4326802834559930.8653605669119860.567319716544007
1130.4266333304209350.8532666608418710.573366669579064
1140.3853105471344650.770621094268930.614689452865535
1150.3430241106348950.686048221269790.656975889365105
1160.3244805222924070.6489610445848150.675519477707593
1170.4078240604049230.8156481208098460.592175939595077
1180.360089513836110.7201790276722210.63991048616389
1190.3439533672345340.6879067344690680.656046632765466
1200.3673986856328040.7347973712656090.632601314367196
1210.320737769944010.6414755398880210.67926223005599
1220.3048455046727990.6096910093455980.695154495327201
1230.2652779644721560.5305559289443120.734722035527844
1240.2669046653790680.5338093307581360.733095334620932
1250.2903362362243070.5806724724486130.709663763775693
1260.2726369448017740.5452738896035490.727363055198226
1270.2516768608820570.5033537217641140.748323139117943
1280.2746773117585330.5493546235170670.725322688241467
1290.2511348035414280.5022696070828570.748865196458572
1300.2770411802060910.5540823604121820.722958819793909
1310.2339998547812110.4679997095624220.766000145218789
1320.317988545124330.635977090248660.68201145487567
1330.2709107811559820.5418215623119640.729089218844018
1340.2391673454890530.4783346909781070.760832654510947
1350.2150894224082490.4301788448164990.784910577591751
1360.2012433116097160.4024866232194330.798756688390284
1370.2726117481781990.5452234963563990.727388251821801
1380.513731999149610.972536001700780.48626800085039
1390.4813606473138990.9627212946277990.518639352686101
1400.5832877391316530.8334245217366930.416712260868347
1410.4988745295113520.9977490590227050.501125470488648
1420.5606693176123180.8786613647753650.439330682387682
1430.4467562458970440.8935124917940870.553243754102956
1440.369876851597550.73975370319510.63012314840245
1450.6168055002087380.7663889995825240.383194499791262
14611.86443380449897e-469.32216902249484e-47


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level20.0143884892086331NOK
5% type I error level20.0143884892086331OK
10% type I error level20.0143884892086331OK