Multiple Linear Regression - Estimated Regression Equation
test2[t] = + 0.239526515302326 -3.72023219084456e-06time_in_rfc[t] + 0.00158418895052058blogged_computations[t] -0.00643291820388346compendiums_reviewed[t] -0.00280364860075766feedback_messages_p120[t] + 7.04277573099765e-06totsize[t] + 4.10606625565716e-06totseconds[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)0.2395265153023260.3865340.61970.5372760.268638
time_in_rfc-3.72023219084456e-063e-06-1.3820.1709030.085452
blogged_computations0.001584188950520580.0050620.31290.7551550.377578
compendiums_reviewed-0.006432918203883460.028675-0.22430.8230790.411539
feedback_messages_p120-0.002803648600757660.007596-0.36910.7130430.356522
totsize7.04277573099765e-065e-061.50250.1369970.068498
totseconds4.10606625565716e-065e-060.8330.407410.203705


Multiple Linear Regression - Regression Statistics
Multiple R0.253937339120911
R-squared0.0644841721998085
Adjusted R-squared-0.00747858378482147
F-TEST (value)0.896077023697941
F-TEST (DF numerator)6
F-TEST (DF denominator)78
p-value0.502147111115584
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.939393918008795
Sum Squared Residuals68.8319527889694


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
100.514969680162642-0.514969680162642
210.3724327381760280.627567261823972
310.5364819306196810.463518069380319
40-0.05127244935577620.0512724493557762
5-1-0.150611299300121-0.849388700699879
6-10.0188949678153771-1.01889496781538
71-0.2146721549531631.21467215495316
81-0.1818914218234041.1818914218234
900.528895407902052-0.528895407902052
1000.259357809336206-0.259357809336206
111-0.4092971357403611.40929713574036
1210.06761932273299780.932380677267002
1310.1748543318010890.825145668198911
14-10.0778023595313957-1.0778023595314
1510.1747105875872210.825289412412779
161-0.2081862037888261.20818620378883
1710.160800257852930.83919974214707
1800.0225638176451048-0.0225638176451048
1910.007776109888264490.992223890111736
20-1-0.0603357718105731-0.939664228189427
21-1-0.00759373115555961-0.99240626884444
2210.3380102557314430.661989744268557
23-1-0.480016801672538-0.519983198327462
24-10.0307334913868025-1.0307334913868
2510.4070046512061980.592995348793802
2610.08073914298712640.919260857012874
2710.4192501844839020.580749815516098
28-10.237656823835183-1.23765682383518
2910.5692784957532310.430721504246769
30-1-0.102514869372588-0.897485130627412
3110.3448644570494530.655135542950547
32-10.03960154236416-1.03960154236416
3310.3131948263121220.686805173687878
3410.3910202746727610.608979725327239
35-1-0.110862052017923-0.889137947982077
36-1-0.156845142502255-0.843154857497745
3710.2742232900920210.725776709907979
3810.1056064322758640.894393567724136
391-0.09233834559017321.09233834559017
401-0.005245988526312531.00524598852631
41-10.286607844118053-1.28660784411805
42-10.359750884717916-1.35975088471792
43-1-0.0165724101550705-0.98342758984493
4410.4921302989240960.507869701075904
4510.3380622150402810.661937784959719
4610.2306172274852240.769382772514776
4710.4944252826815350.505574717318465
4810.04620565951804840.953794340481952
49-10.0894624785937661-1.08946247859377
50-10.0954400492816034-1.0954400492816
5110.8153003777787040.184699622221296
52-10.207292765989401-1.2072927659894
53-10.106248668353766-1.10624866835377
5400.209964888670282-0.209964888670282
551-0.1323853521081951.1323853521082
56-10.315392453039631-1.31539245303963
57-10.075571104163346-1.07557110416335
58-10.0668588385272815-1.06685883852728
591-0.03301319707000251.03301319707
6000.49383057598367-0.49383057598367
6110.07678375438331730.923216245616683
62-1-0.0767171817149657-0.923282818285034
631-0.05851835976324221.05851835976324
64-10.0573956686522326-1.05739566865223
65-10.394655104342499-1.3946551043425
6610.130372208959650.86962779104035
6710.5912821090200240.408717890979976
68-1-0.0779283512442807-0.922071648755719
69-10.479859524583674-1.47985952458367
7010.06194030565961560.938059694340384
71-1-0.0838662543674543-0.916133745632546
721-0.09276238228859971.0927623822886
73-1-0.0313892345958129-0.968610765404187
7410.06997624229503520.930023757704965
7510.4420496187587130.557950381241287
7600.13438879855584-0.13438879855584
770-0.04859002754946320.0485900275494632
7810.06698711948648180.933012880513518
7910.08210165522014160.917898344779858
80-1-0.0460451371707106-0.953954862829289
810-0.07135914117361980.0713591411736198
82-1-0.0387649179354014-0.961235082064599
8310.1468506320493670.853149367950633
8410.1930074705965520.806992529403448
85-1-0.0795596998846149-0.920440300115385


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
100.6049969249412210.7900061501175570.395003075058779
110.5013650607239520.9972698785520960.498634939276048
120.3883530181294790.7767060362589580.611646981870521
130.3430820246026620.6861640492053240.656917975397338
140.4928522603259540.9857045206519080.507147739674046
150.4129449062466990.8258898124933980.587055093753301
160.3698653296194980.7397306592389950.630134670380502
170.331801560771170.6636031215423390.66819843922883
180.2626660829042710.5253321658085430.737333917095728
190.2158110965739710.4316221931479420.784188903426029
200.3859044239309610.7718088478619220.614095576069039
210.3330482755869370.6660965511738740.666951724413063
220.3425272081519880.6850544163039750.657472791848012
230.3872463680061630.7744927360123260.612753631993837
240.3981476785535010.7962953571070010.601852321446499
250.3536831961586720.7073663923173430.646316803841328
260.3379410730629550.675882146125910.662058926937045
270.2971394445160890.5942788890321790.702860555483911
280.4706940595849550.941388119169910.529305940415045
290.4115267096742470.8230534193484940.588473290325753
300.4023532279074020.8047064558148040.597646772092598
310.3713203851635510.7426407703271020.628679614836449
320.3753655196786990.7507310393573990.624634480321301
330.3565617264433060.7131234528866120.643438273556694
340.3354685380561090.6709370761122170.664531461943891
350.322041579492680.644083158985360.67795842050732
360.2993880429069680.5987760858139350.700611957093032
370.28751675439550.5750335087909990.7124832456045
380.2849475760295680.5698951520591370.715052423970432
390.3116526633219080.6233053266438170.688347336678092
400.3389011678993480.6778023357986970.661098832100652
410.4038025384261130.8076050768522270.596197461573887
420.4639178693322260.9278357386644520.536082130667774
430.4597197381712550.919439476342510.540280261828745
440.4213058116189760.8426116232379520.578694188381024
450.4388802692060420.8777605384120840.561119730793958
460.4332119472774350.866423894554870.566788052722565
470.4092777622923250.818555524584650.590722237707675
480.4168055461566620.8336110923133240.583194453843338
490.4061384568730490.8122769137460970.593861543126951
500.4202868308139080.8405736616278160.579713169186092
510.359489987040270.7189799740805390.64051001295973
520.3619376523641850.7238753047283690.638062347635815
530.3839489540023330.7678979080046670.616051045997667
540.3214948154674380.6429896309348770.678505184532561
550.3525477407929230.7050954815858460.647452259207077
560.3957623323637780.7915246647275570.604237667636222
570.3750672380852970.7501344761705940.624932761914703
580.3670455034683480.7340910069366960.632954496531652
590.3830683325797930.7661366651595870.616931667420207
600.3753928166355330.7507856332710660.624607183364467
610.4232731641237970.8465463282475930.576726835876203
620.3694194531843990.7388389063687990.630580546815601
630.5872019666005910.8255960667988190.412798033399409
640.5400730551984120.9198538896031760.459926944801588
650.6658892901294060.6682214197411890.334110709870594
660.7432713760143060.5134572479713890.256728623985694
670.6772418769456680.6455162461086640.322758123054332
680.6339532322270350.732093535545930.366046767772965
690.8953514400802730.2092971198394540.104648559919727
700.9812827653040790.03743446939184270.0187172346959214
710.9770706114392620.04585877712147620.0229293885607381
720.9578365704718390.08432685905632260.0421634295281613
730.9120286424782910.1759427150434180.0879713575217088
740.8353111143222930.3293777713554140.164688885677707
750.7797198757004790.4405602485990430.220280124299521


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level20.0303030303030303OK
10% type I error level30.0454545454545455OK