Multiple Linear Regression - Estimated Regression Equation
PE[t] = + 7.09326325421717 + 0.185102752444153Gender[t] -0.543845428355612Browser[t] + 0.0973882515518828CM[t] -0.160262217439695D[t] + 0.679548443610309PC[t] + 0.104347613234137PS[t] -0.0980134280835422O[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
Gender0.1851027524441530.5418570.34160.7332860.366643
Browser-0.5438454283556120.934059-0.58220.5615760.280788
CM0.09738825155188280.057241.70140.091640.04582
D-0.1602622174396950.10618-1.50940.1340250.067013
PC0.6795484436103090.0997896.809800
PS0.1043476132341370.0726181.43690.1535240.076762
O-0.09801342808354220.079632-1.23080.2209650.110482


Multiple Linear Regression - Regression Statistics
Multiple R0.66039852380112
R-squared0.436126210238699
Adjusted R-squared0.400884098378618
F-TEST (value)12.3751440313853
F-TEST (DF numerator)7
F-TEST (DF denominator)112
p-value1.18084431122156e-11
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.73149971992307
Sum Squared Residuals835.642160633256


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
11114.7536397297219-3.75363972972194
2713.1971115090806-6.19711150908056
31714.08887322222322.91112677777682
41011.5439430989287-1.54394309892871
51211.44405303909500.555946960905048
6119.956211838152521.04378816184748
71114.3465942056434-3.34659420564335
81210.29776673961901.70223326038095
91311.12503974395161.87496025604844
101414.4908024856061-0.490802485606128
111614.74686889763381.25313110236621
121012.2001104363388-2.20011043633879
131111.9274444427328-0.92744444273285
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
241312.89842952143020.101570478569786
251613.61556926723632.38443073276368
261311.06639020462191.93360979537814
27911.1277052668024-2.12770526680235
281817.83852215591520.161477844084843
291812.16331202315585.83668797684423
301213.5327561542612-1.53275615426121
311713.61410523132233.38589476867772
32911.6566687117664-2.65666871176642
33912.8430741496168-3.84307414961681
341817.20655977064270.793440229357304
351212.5895885485230-0.589588548522952
361813.69812561439484.30187438560518
371413.90501963291460.0949803670853884
381511.93081003613873.06918996386133
391610.69988460071405.30011539928604
401012.7896773295508-2.78967732955083
411111.1600991013401-0.160099101340118
421412.76003376550021.23996623449982
43912.5836510940672-3.58365109406718
441712.03802676621454.96197323378551
4559.28318349199676-4.28318349199676
461212.1354115496325-0.135411549632530
471211.85862726217240.141372737827552
4869.55941116435487-3.55941116435487
492422.75531983735621.24468016264384
501212.2815471440177-0.281547144017666
511212.7775028727646-0.777502872764576
521411.34825832416922.65174167583078
5378.86570660165935-1.86570660165935
541212.9326011533098-0.932601153309824
551411.72240201342302.27759798657697
56812.4869539631865-4.48695396318647
57119.046716190562111.95328380943789
58911.3029081148330-2.30290811483304
591113.6660686504808-2.66606865048084
60108.952062874134371.04793712586563
611113.0579888235097-2.05798882350968
621212.8667898343578-0.866789834357844
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
711313.4885915285442-0.488591528544162
721112.7317290736477-1.73172907364775
731311.93412128166791.06587871833210
741614.45204036277731.54795963722269
751110.93550957463240.0644904253676085
761617.7130133625102-1.71301336251019
771411.69581602191262.30418397808743
78810.6146650457315-2.61466504573151
7999.80593368432105-0.805933684321053
801511.50200677674813.49799322325195
811113.2978564041544-2.29785640415440
822117.09629001866113.90370998133888
831412.86115831325591.13884168674409
841815.76297025808052.23702974191952
851211.53424880212230.46575119787768
861312.72682939155980.273170608440180
871210.8900194004181.10998059958200
881914.55414750383534.44585249616473
891112.5857238537622-1.58572385376224
901314.9373663248922-1.93736632489220
911514.63795420405710.362045795942921
921211.07392066592540.926079334074593
931615.85980996977400.140190030225967
941818.0522078388685-0.0522078388685007
95814.8962463552164-6.89624635521638
96910.7441215031642-1.74412150316421
971512.79971428014172.20028571985832
98610.6271538363224-4.62715383632243
9989.48365831118564-1.48365831118564
1001010.1186110320092-0.118611032009240
1011112.3117823538364-1.31178235383638
1021412.64377367208021.35622632791979
1031113.4037516262436-2.40375162624359
1041211.89804001705290.101959982947141
1051110.01204633755090.987953662449092
10699.3527768303525-0.352776830352507
1071211.84358944876130.156410551238658
1082014.35033050184725.6496694981528
1091313.5974238022869-0.59742380228687
1101216.453229122563-4.453229122563
111914.5562401844148-5.55624018441481
1122421.63030204068282.36969795931719
1131111.5369383392537-0.536938339253732
1141715.17356760921571.82643239078427
1151112.7716415022599-1.77164150225992
1161114.2331286060079-3.23312860600791
1171612.48560413522013.51439586477994
1181310.94937422108652.05062577891347
1191112.6210258176553-1.62102581765529
1201917.87577685845341.12422314154661


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
110.871588980672610.256822038654780.12841101932739
120.8655759051213870.2688481897572260.134424094878613
130.7865477850309870.4269044299380250.213452214969013
140.7495334343697280.5009331312605450.250466565630273
150.8095366694849340.3809266610301330.190463330515066
160.815802107628860.368395784742280.18419789237114
170.7638404590728160.4723190818543680.236159540927184
180.7786682295524630.4426635408950730.221331770447537
190.732116739949280.5357665201014410.267883260050721
200.8435741470085320.3128517059829360.156425852991468
210.7985685613906530.4028628772186940.201431438609347
220.7984083306838130.4031833386323740.201591669316187
230.8055250324819440.3889499350361130.194474967518056
240.7549462188297340.4901075623405320.245053781170266
250.719816506937250.5603669861255010.280183493062750
260.6694247696930960.6611504606138080.330575230306904
270.706705928241290.5865881435174190.293294071758710
280.7654435603613990.4691128792772030.234556439638601
290.8363159202921260.3273681594157480.163684079707874
300.8330233203112310.3339533593775380.166976679688769
310.842201894806980.3155962103860400.157798105193020
320.842782373755150.3144352524897010.157217626244851
330.8828270656088520.2343458687822960.117172934391148
340.8505285415858050.2989429168283900.149471458414195
350.8153546382593490.3692907234813030.184645361740651
360.8991525008462680.2016949983074630.100847499153732
370.8696505256515360.2606989486969270.130349474348464
380.8631113911298520.2737772177402960.136888608870148
390.9188240068085990.1623519863828030.0811759931914013
400.9250757510136010.1498484979727980.0749242489863989
410.9029294217169290.1941411565661420.0970705782830712
420.883163859239510.2336722815209810.116836140760491
430.8918238691606960.2163522616786090.108176130839304
440.9410817225807640.1178365548384730.0589182774192365
450.9636130933943870.07277381321122490.0363869066056125
460.9512388625927920.09752227481441570.0487611374072078
470.9357689595781310.1284620808437380.0642310404218689
480.9576592014825460.08468159703490740.0423407985174537
490.9469088994346880.1061822011306240.0530911005653118
500.9298889435195460.1402221129609070.0701110564804536
510.9116579912520580.1766840174958840.0883420087479418
520.9093034686334070.1813930627331860.0906965313665929
530.9001548731944920.1996902536110150.0998451268055077
540.8772615158396690.2454769683206620.122738484160331
550.8695970911599640.2608058176800730.130402908840036
560.9102723457534680.1794553084930650.0897276542465323
570.90024939935620.1995012012876000.0997506006438002
580.8938926392023030.2122147215953950.106107360797697
590.9072113810022120.1855772379955760.0927886189977879
600.8902202728428590.2195594543142820.109779727157141
610.8822973001232180.2354053997535630.117702699876782
620.8603047573915320.2793904852169360.139695242608468
630.8604849752664060.2790300494671890.139515024733594
640.8756342591803420.2487314816393160.124365740819658
650.8778524652984880.2442950694030230.122147534701512
660.8501330739396950.2997338521206100.149866926060305
670.8930299464194430.2139401071611130.106970053580557
680.8753271890731110.2493456218537780.124672810926889
690.850512927376270.2989741452474580.149487072623729
700.8164947216641530.3670105566716940.183505278335847
710.7779161645113180.4441676709773650.222083835488682
720.7485075590306690.5029848819386630.251492440969331
730.7066054984664510.5867890030670980.293394501533549
740.6842127068119020.6315745863761960.315787293188098
750.6379237809026970.7241524381946070.362076219097303
760.6046113544355430.7907772911289140.395388645564457
770.5798286100501490.8403427798997030.420171389949851
780.5546392874276670.8907214251446660.445360712572333
790.500766369538950.99846726092210.49923363046105
800.5194356825341890.9611286349316210.480564317465811
810.512989824534020.974020350931960.48701017546598
820.5819328100887620.8361343798224760.418067189911238
830.5309048607252550.938190278549490.469095139274745
840.4999617992659380.9999235985318760.500038200734062
850.4388660069972010.8777320139944030.561133993002799
860.3772586743905850.754517348781170.622741325609415
870.3239986370347170.6479972740694350.676001362965283
880.451660619544090.903321239088180.54833938045591
890.4474154767748770.8948309535497540.552584523225123
900.4081244425820460.8162488851640930.591875557417954
910.3469387751136030.6938775502272060.653061224886397
920.3155586666657310.6311173333314610.68444133333427
930.2699792477914750.5399584955829490.730020752208525
940.2300403596114390.4600807192228770.769959640388561
950.3914291470147070.7828582940294150.608570852985293
960.3364668994284610.6729337988569210.66353310057154
970.2818151982194700.5636303964389410.71818480178053
980.3761223625091410.7522447250182820.623877637490859
990.3499153055092540.6998306110185090.650084694490746
1000.2812276420931970.5624552841863940.718772357906803
1010.2442505528352290.4885011056704590.75574944716477
1020.1815004054790840.3630008109581680.818499594520916
1030.1638907839106840.3277815678213680.836109216089316
1040.1105084912719640.2210169825439280.889491508728036
1050.07084516136286440.1416903227257290.929154838637136
1060.04145680342689070.08291360685378140.95854319657311
1070.02475605595372480.04951211190744950.975243944046275
1080.06863302724485790.1372660544897160.931366972755142
1090.04170104559026990.08340209118053970.95829895440973


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