Multiple Linear Regression - Estimated Regression Equation
PE[t] = + 7.09326325421717 + 0.185102752444152Geslacht[t] -0.543845428355601Browser[t] + 0.0973882515518827CM[t] -0.160262217439694DA[t] + 0.67954844361031PC[t] + 0.104347613234137PS[t] -0.0980134280835426O[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)7.093263254217172.6450682.68170.0084330.004216
Geslacht0.1851027524441520.5418570.34160.7332860.366643
Browser-0.5438454283556010.934059-0.58220.5615760.280788
CM0.09738825155188270.057241.70140.091640.04582
DA-0.1602622174396940.10618-1.50940.1340250.067013
PC0.679548443610310.0997896.809800
PS0.1043476132341370.0726181.43690.1535240.076762
O-0.09801342808354260.079632-1.23080.2209650.110482


Multiple Linear Regression - Regression Statistics
Multiple R0.660398523801121
R-squared0.4361262102387
Adjusted R-squared0.400884098378618
F-TEST (value)12.3751440313854
F-TEST (DF numerator)7
F-TEST (DF denominator)112
p-value1.18083320899132e-11
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.73149971992306
Sum Squared Residuals835.642160633255


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
11114.7536397297218-3.75363972972184
2713.1971115090806-6.19711150908056
31714.08887322222322.91112677777682
41011.5439430989287-1.54394309892871
51211.44405303909490.555946960905061
6119.956211838152521.04378816184748
71114.3465942056434-3.34659420564336
81210.29776673961901.70223326038095
91311.12503974395161.87496025604844
101414.4908024856061-0.490802485606132
111614.74686889763381.25313110236621
121012.2001104363388-2.20011043633880
131111.9274444427329-0.927444442732853
14159.868231320149125.13176867985088
15913.7886288259109-4.78862882591095
161711.91524943979985.08475056020018
171113.4177192157347-2.41771921573467
181815.00248709554992.99751290445011
191416.0957663325662-2.09576633256623
201012.3851183209897-2.38511832098967
211111.4158740407367-0.415874040736717
221513.17424368649121.82575631350881
231511.57358437089643.42641562910362
241312.89842952143020.101570478569785
251613.61556926723632.38443073276368
261311.06639020462191.93360979537814
27911.1277052668023-2.12770526680235
281817.83852215591520.161477844084839
291812.16331202315585.83668797684422
301213.5327561542612-1.53275615426121
311713.61410523132233.38589476867772
32911.6566687117664-2.65666871176642
33912.8430741496168-3.84307414961681
341817.20655977064270.79344022935731
351212.5895885485230-0.589588548522955
361813.69812561439484.30187438560518
371413.90501963291460.0949803670853874
381511.93081003613873.06918996386132
391610.69988460071405.30011539928604
401012.7896773295508-2.78967732955083
411111.1600991013401-0.16009910134012
421412.76003376550021.23996623449982
43912.5836510940672-3.58365109406719
441712.03802676621454.96197323378551
4559.28318349199677-4.28318349199677
461212.1354115496325-0.135411549632531
471211.85862726217240.141372737827555
4869.55941116435487-3.55941116435487
492422.75531983735621.24468016264383
501212.2815471440177-0.281547144017664
511212.7775028727646-0.777502872764575
521411.34825832416922.65174167583078
5378.86570660165935-1.86570660165935
541212.9326011533098-0.932601153309826
551411.7224020134232.27759798657699
56812.4869539631865-4.48695396318647
57119.046716190562121.95328380943789
58911.3029081148330-2.30290811483304
591113.6660686504808-2.66606865048084
60108.952062874134371.04793712586563
611113.0579888235097-2.05798882350967
621212.8667898343578-0.866789834357842
63911.8363675381018-2.8363675381018
641814.77556574989203.22443425010803
651512.05990045212412.94009954787587
661212.8368860134129-0.836886013412891
67139.390048889370483.60995111062952
681412.91578846125771.08421153874231
691011.4706412349159-1.47064123491589
701312.22819280459910.771807195400866
711313.4885915285442-0.488591528544163
721112.7317290736477-1.73172907364773
731311.93412128166791.06587871833209
741614.45204036277731.54795963722269
751110.93550957463240.0644904253676084
761617.7130133625102-1.71301336251019
771411.69581602191262.30418397808743
78810.6146650457315-2.61466504573150
7999.80593368432105-0.805933684321045
801511.50200677674813.49799322325195
811113.2978564041544-2.29785640415441
822117.09629001866113.90370998133888
831412.86115831325591.13884168674409
841815.76297025808052.23702974191952
851211.53424880212230.465751197877679
861312.72682939155980.273170608440180
871210.8900194004181.10998059958199
881914.55414750383534.44585249616473
891112.5857238537622-1.58572385376224
901314.9373663248922-1.93736632489221
911514.63795420405710.362045795942916
921211.07392066592540.926079334074593
931615.85980996977400.140190030225968
941818.0522078388685-0.0522078388684962
95814.8962463552164-6.89624635521639
96910.7441215031642-1.74412150316422
971512.79971428014172.20028571985832
98610.6271538363224-4.62715383632243
9989.48365831118565-1.48365831118565
1001010.1186110320092-0.118611032009228
1011112.3117823538364-1.31178235383638
1021412.64377367208021.35622632791979
1031113.4037516262436-2.40375162624359
1041211.89804001705290.101959982947141
1051110.01204633755090.987953662449092
10699.3527768303525-0.352776830352503
1071211.84358944876130.156410551238657
1082014.35033050184725.6496694981528
1091313.5974238022869-0.597423802286877
1101216.453229122563-4.453229122563
111914.5562401844148-5.55624018441481
1122421.63030204068282.36969795931718
1131111.5369383392537-0.536938339253733
1141715.17356760921571.82643239078427
1151112.7716415022599-1.77164150225991
1161114.2331286060079-3.23312860600792
1171612.48560413522013.51439586477994
1181310.94937422108652.05062577891347
1191112.6210258176553-1.62102581765530
1201917.87577685845341.12422314154660


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
110.871588980672610.2568220386547800.128411019327390
120.8655759051213870.2688481897572260.134424094878613
130.7865477850309870.4269044299380260.213452214969013
140.7495334343697270.5009331312605460.250466565630273
150.8095366694849330.3809266610301340.190463330515067
160.815802107628860.368395784742280.18419789237114
170.7638404590728160.4723190818543680.236159540927184
180.7786682295524640.4426635408950730.221331770447537
190.732116739949280.5357665201014410.267883260050721
200.8435741470085320.3128517059829360.156425852991468
210.7985685613906520.4028628772186950.201431438609348
220.7984083306838120.4031833386323750.201591669316188
230.8055250324819440.3889499350361120.194474967518056
240.7549462188297330.4901075623405330.245053781170267
250.719816506937250.56036698612550.28018349306275
260.6694247696930950.6611504606138090.330575230306905
270.706705928241290.5865881435174190.293294071758709
280.7654435603613970.4691128792772050.234556439638602
290.8363159202921260.3273681594157480.163684079707874
300.8330233203112310.3339533593775380.166976679688769
310.842201894806980.3155962103860400.157798105193020
320.842782373755150.3144352524896990.157217626244849
330.8828270656088520.2343458687822960.117172934391148
340.8505285415858040.2989429168283920.149471458414196
350.8153546382593480.3692907234813050.184645361740652
360.8991525008462680.2016949983074630.100847499153732
370.8696505256515370.2606989486969270.130349474348463
380.8631113911298520.2737772177402970.136888608870148
390.91882400680860.1623519863828020.081175993191401
400.92507575101360.1498484979727990.0749242489863995
410.902929421716930.1941411565661410.0970705782830705
420.883163859239510.2336722815209800.116836140760490
430.8918238691606960.2163522616786080.108176130839304
440.9410817225807640.1178365548384730.0589182774192366
450.9636130933943880.07277381321122490.0363869066056125
460.9512388625927920.09752227481441560.0487611374072078
470.9357689595781310.1284620808437380.064231040421869
480.9576592014825460.08468159703490740.0423407985174537
490.9469088994346880.1061822011306240.0530911005653118
500.9298889435195460.1402221129609080.0701110564804538
510.9116579912520590.1766840174958830.0883420087479414
520.9093034686334060.1813930627331880.0906965313665938
530.9001548731944930.1996902536110150.0998451268055074
540.8772615158396690.2454769683206620.122738484160331
550.8695970911599640.2608058176800720.130402908840036
560.9102723457534680.1794553084930640.089727654246532
570.90024939935620.1995012012876000.0997506006438001
580.8938926392023040.2122147215953920.106107360797696
590.9072113810022120.1855772379955750.0927886189977876
600.8902202728428590.2195594543142820.109779727157141
610.8822973001232190.2354053997535630.117702699876781
620.8603047573915330.2793904852169350.139695242608467
630.8604849752664060.2790300494671890.139515024733594
640.8756342591803420.2487314816393160.124365740819658
650.8778524652984880.2442950694030230.122147534701512
660.8501330739396930.2997338521206130.149866926060307
670.8930299464194430.2139401071611140.106970053580557
680.8753271890731120.2493456218537770.124672810926888
690.850512927376270.2989741452474600.149487072623730
700.8164947216641520.3670105566716950.183505278335848
710.7779161645113190.4441676709773630.222083835488682
720.7485075590306680.5029848819386630.251492440969331
730.7066054984664520.5867890030670950.293394501533548
740.6842127068119030.6315745863761930.315787293188097
750.6379237809026950.724152438194610.362076219097305
760.6046113544355440.7907772911289120.395388645564456
770.579828610050150.84034277989970.42017138994985
780.5546392874276660.8907214251446670.445360712572334
790.500766369538950.99846726092210.49923363046105
800.519435682534190.961128634931620.48056431746581
810.5129898245340180.9740203509319640.487010175465982
820.5819328100887610.8361343798224790.418067189911239
830.5309048607252540.938190278549490.469095139274746
840.4999617992659340.9999235985318670.500038200734066
850.4388660069972010.8777320139944010.561133993002799
860.3772586743905840.7545173487811680.622741325609416
870.3239986370347170.6479972740694350.676001362965283
880.4516606195440890.9033212390881770.548339380455911
890.4474154767748770.8948309535497540.552584523225123
900.4081244425820450.816248885164090.591875557417955
910.3469387751136020.6938775502272040.653061224886398
920.3155586666657280.6311173333314570.684441333334272
930.2699792477914750.539958495582950.730020752208525
940.2300403596114380.4600807192228770.769959640388562
950.3914291470147060.7828582940294120.608570852985294
960.3364668994284600.6729337988569210.66353310057154
970.2818151982194690.5636303964389380.718184801780531
980.3761223625091420.7522447250182840.623877637490858
990.3499153055092550.699830611018510.650084694490745
1000.2812276420931960.5624552841863930.718772357906804
1010.244250552835230.488501105670460.75574944716477
1020.1815004054790840.3630008109581670.818499594520916
1030.1638907839106830.3277815678213670.836109216089317
1040.1105084912719640.2210169825439280.889491508728036
1050.07084516136286450.1416903227257290.929154838637135
1060.04145680342689080.08291360685378160.95854319657311
1070.02475605595372470.04951211190744950.975243944046275
1080.06863302724485790.1372660544897160.931366972755142
1090.04170104559026990.08340209118053980.95829895440973


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level10.0101010101010101OK
10% type I error level60.0606060606060606OK