Multiple Linear Regression - Estimated Regression Equation
Totaal[t] = + 0.688444434225966 -2.07693967707055e-06time[t] + 0.0080187010469734logins[t] -0.00224377493878955BC[t] + 0.000957897506546962LFM[t] -1.12282735561944Course[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)0.6884444342259661.3697010.50260.6166270.308314
time-2.07693967707055e-066e-06-0.34960.7275440.363772
logins0.00801870104697340.0100460.79820.4271630.213581
BC-0.002243774938789550.012499-0.17950.8579870.428994
LFM0.0009578975065469620.0132720.07220.9426440.471322
Course-1.122827355619440.950509-1.18130.2410320.120516


Multiple Linear Regression - Regression Statistics
Multiple R0.208262924700074
R-squared0.0433734458046289
Adjusted R-squared-0.0171725386381161
F-TEST (value)0.716371964281872
F-TEST (DF numerator)5
F-TEST (DF denominator)79
p-value0.613001064885355
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.4830864127874
Sum Squared Residuals487.091732536184


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
120.6122347218355991.3877652781644
240.8860056773596953.1139943226403
300.724278720829898-0.724278720829898
400.812145178634487-0.812145178634487
5-40.982906666124744-4.98290666612474
640.8404526139439083.15954738605609
740.5173295891997953.48267041080021
801.05514680605817-1.05514680605817
9-10.515030463637-1.515030463637
1001.04612175005869-1.04612175005869
1110.4987138483565190.501286151643481
1200.902237105725565-0.902237105725565
1331.073469850361761.92653014963824
14-10.688690769005116-1.68869076900512
1540.5730788997224393.42692110027756
1630.7392862012495522.26071379875045
1710.6694001032396270.330599896760373
180-0.08334937922180240.0833493792218024
19-21.20673391271056-3.20673391271056
20-30.516892868108608-3.51689286810861
21-40.793143930278879-4.79314393027888
2220.7898533037776141.21014669622239
2320.8250343672456231.17496563275438
24-40.765258229969861-4.76525822996986
2530.694158540479632.30584145952037
2620.4839048078964891.51609519210351
2720.6573087456076931.34269125439231
2800.0671397302655171-0.0671397302655171
2951.153583042754093.84641695724591
30-20.756136980535468-2.75613698053547
3100.775993905630287-0.775993905630287
32-20.803010372151474-2.80301037215147
33-30.740118750213978-3.74011875021398
3421.166145760864560.833854239135438
3520.686434280640431.31356571935957
3620.7771976553712591.22280234462874
3700.615571658401479-0.615571658401479
3840.638083474382523.36191652561748
3940.4712208849789063.52877911502109
4020.7518796632740381.24812033672596
4120.7559829047506271.24401709524937
42-40.73824962695811-4.73824962695811
433-0.3727895616485463.37278956164855
4430.9304920038060992.0695079961939
4520.6502593140865991.3497406859134
46-10.658284036507612-1.65828403650761
47-30.556908118553562-3.55690811855356
480-0.3880144842215350.388014484221535
4910.8912242719755940.108775728024406
50-3-0.342277713279983-2.65772228672002
5130.9593903853325272.04060961466747
520-0.3575002625748210.357500262574821
5300.558961209719106-0.558961209719106
5400.734646051489287-0.734646051489287
5530.6766096051433732.32339039485663
56-30.537114235038812-3.53711423503881
5700.832160393916623-0.832160393916623
58-40.688648700545418-4.68864870054542
5920.9780613798282021.0219386201718
60-10.79707623490841-1.79707623490841
6130.7770913622376832.22290863776232
6222.16557376951274-0.165573769512736
6350.9946573566815144.00534264331849
6420.770184884382821.22981511561718
65-20.663768629331003-2.663768629331
6600.668261412197676-0.668261412197676
6730.7408247070035192.25917529299648
68-2-0.373309341689328-1.62669065831067
6900.72058469725029-0.72058469725029
7060.8369818190035675.16301818099643
71-30.787549846449511-3.78754984644951
7230.7262589427737052.2737410572263
730-0.3051557448278920.305155744827892
74-2-0.391846896122504-1.6081531038775
751-0.4178710416236181.41787104162362
760-0.1655963695224790.165596369522479
772-0.4079335287279742.40793352872797
782-0.3442102829568382.34421028295684
79-3-0.283515593761956-2.71648440623804
80-2-0.358428467314107-1.64157153268589
811-0.2709242958046161.27092429580462
82-4-0.122259717732288-3.87774028226771
830-0.4487911711308920.448791171130892
841-0.2068793350633491.20687933506335
850-0.4264865430409870.426486543040987


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
90.7468501280608730.5062997438782540.253149871939127
100.8291349536290040.3417300927419910.170865046370996
110.7319800637865070.5360398724269870.268019936213493
120.6641673789987670.6716652420024670.335832621001234
130.6902496989734340.6195006020531320.309750301026566
140.646325818188390.707348363623220.35367418181161
150.6769021494498860.6461957011002280.323097850550114
160.6451582276235990.7096835447528010.354841772376401
170.5886090654272040.8227818691455930.411390934572796
180.4964268528228480.9928537056456970.503573147177152
190.494092018309180.988184036618360.50590798169082
200.6675142439499370.6649715121001270.332485756050063
210.8087898047620690.3824203904758610.191210195237931
220.7670271491467380.4659457017065250.232972850853262
230.7135680332860310.5728639334279380.286431966713969
240.8079001626129070.3841996747741850.192099837387093
250.8001034130261150.399793173947770.199896586973885
260.7611421448382250.4777157103235490.238857855161775
270.7301916617605870.5396166764788260.269808338239413
280.6712078813158070.6575842373683850.328792118684193
290.7683191304463850.4633617391072290.231680869553615
300.7741513298084390.4516973403831210.225848670191561
310.7253938891357280.5492122217285440.274606110864272
320.7217713413363940.5564573173272120.278228658663606
330.7620391168437990.4759217663124030.237960883156201
340.7266606393897770.5466787212204460.273339360610223
350.700429506460820.599140987078360.29957049353918
360.6683682636243460.6632634727513080.331631736375654
370.6090553032640610.7818893934718790.390944696735939
380.6454986355199410.7090027289601180.354501364480059
390.6924044629874970.6151910740250060.307595537012503
400.6474580205097780.7050839589804450.352541979490222
410.5987892481092820.8024215037814360.401210751890718
420.7544772003057960.4910455993884070.245522799694204
430.7892539723124520.4214920553750950.210746027687548
440.7651699600303060.4696600799393890.234830039969694
450.7321273073715570.5357453852568870.267872692628443
460.7018393783187690.5963212433624620.298160621681231
470.7788301669100690.4423396661798620.221169833089931
480.7317829752568150.5364340494863690.268217024743185
490.6737843289474330.6524313421051330.326215671052567
500.6759712437869470.6480575124261060.324028756213053
510.6596724069161570.6806551861676860.340327593083843
520.6055911484325050.788817703134990.394408851567495
530.5570869620613870.8858260758772260.442913037938613
540.4964704580933850.992940916186770.503529541906615
550.4935145225178550.987029045035710.506485477482145
560.5961851298871470.8076297402257050.403814870112853
570.5304156522564840.9391686954870320.469584347743516
580.7665358944798740.4669282110402510.233464105520126
590.7254022803295780.5491954393408450.274597719670423
600.8303867222589550.339226555482090.169613277741045
610.8233909288482640.3532181423034710.176609071151736
620.7671096427333150.4657807145333710.232890357266685
630.8214443652549180.3571112694901640.178555634745082
640.8032480372654270.3935039254691460.196751962734573
650.8216016808034570.3567966383930860.178398319196543
660.7577105779614880.4845788440770240.242289422038512
670.7114150667520250.5771698664959510.288584933247975
680.6786440798903870.6427118402192270.321355920109613
690.6063489874743530.7873020250512950.393651012525648
700.8156140077960510.3687719844078990.184385992203949
710.7702048136355410.4595903727289180.229795186364459
720.678436860537710.643126278924580.32156313946229
730.5604796948475050.8790406103049910.439520305152495
740.4628576735103740.9257153470207480.537142326489626
750.3279246064949470.6558492129898940.672075393505053
760.2316541929287840.4633083858575690.768345807071216


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