Multiple Linear Regression - Estimated Regression Equation
Totale_score[t] = + 0.98034468063275 -0.0207239953818484time_in_rfc[t] + 0.00517328518621255logins[t] + 0.0776257841385451compendiums_reviewed[t] -0.100729529199834`What_is_your_age?`[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)0.980344680632754.1678870.23520.8147940.407397
time_in_rfc-0.02072399538184840.019484-1.06370.2914830.145742
logins0.005173285186212550.0097890.52850.5989810.299491
compendiums_reviewed0.07762578413854510.0438631.76970.0815380.040769
`What_is_your_age?`-0.1007295291998340.207086-0.48640.6283340.314167


Multiple Linear Regression - Regression Statistics
Multiple R0.225721445480674
R-squared0.0509501709498847
Adjusted R-squared-0.0083654433657474
F-TEST (value)0.85896726414679
F-TEST (DF numerator)4
F-TEST (DF denominator)64
p-value0.493481854593082
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.27374461140365
Sum Squared Residuals330.874531704776


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1-30.201456984652596-3.2014569846526
2-2-0.446845440490675-1.55315455950932
300.0722317331242386-0.0722317331242386
400.0280596828305829-0.0280596828305829
500.00542331780697853-0.00542331780697853
6-40.70313880609304-4.70313880609304
71-0.3089092422183961.3089092422184
82-0.2142876145064272.21428761450643
9-40.205025633476716-4.20502563347672
1001.13114960291358-1.13114960291358
110-0.5012967204234390.501296720423439
12-30.0352757822590219-3.03527578225902
1300.306365385809782-0.306365385809782
14-41.01324309399704-5.01324309399704
15-20.0786955868092298-2.07869558680923
1601.44036318070863-1.44036318070863
17-10.138399742677974-1.13839974267797
18-30.279559711784805-3.2795597117848
1940.9147171578383123.08528284216169
2020.8241251775369441.17587482246306
2111.2332021280767-0.233202128076704
2200.807571399213803-0.807571399213803
23-10.361401839347199-1.3614018393472
24-20.490660147857684-2.49066014785768
2500.856810559113752-0.856810559113752
26-2-0.104651983520685-1.89534801647932
2710.1207361711703360.879263828829664
2820.2693810358634541.73061896413655
2900.252825204519245-0.252825204519245
3000.883804454644346-0.883804454644346
3140.7119381576864423.28806184231356
3230.7847036014517692.21529639854823
3340.130117954464983.86988204553502
3430.3001758169126142.69982418308739
351-0.5055711492481891.50557114924819
36-20.574406094703177-2.57440609470318
3720.03427653938217711.96572346061782
3820.06787814102610911.93212185897389
393-0.01861890262944813.01861890262945
4031.353393582937221.64660641706278
4120.7044245343141651.29557546568583
4231.108974162440961.89102583755904
4321.406606377936680.59339362206332
4431.478953876355451.52104612364455
4520.4376378808029021.5623621191971
4660.510327650986245.48967234901376
4720.138667008861441.86133299113856
481-0.2918173526004081.29181735260041
4921.126687232782310.873312767217694
5000.206442455777595-0.206442455777595
511-0.5009376703957191.50093767039572
52-30.166378478872634-3.16637847887263
5300.0777073178276536-0.0777073178276536
54-3-0.211534180295099-2.7884658197049
5520.5684202944903781.43157970550962
5620.7717257989164411.22827420108356
5700.408469911536534-0.408469911536534
5821.128826301671060.871173698328936
5900.322493741599613-0.322493741599613
6000.889340346882734-0.889340346882734
61-10.315491611081636-1.31549161108164
6230.7848315292006772.21516847079932
6330.7752923233857562.22470767661424
64-40.877247255212998-4.877247255213
65-1-0.25931440168096-0.74068559831904
6620.1563812825531911.84361871744681
670-0.3809491542738840.380949154273884
68-30.302124813259791-3.30212481325979
6900.470768216844002-0.470768216844002


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
80.5056879568625740.9886240862748530.494312043137426
90.4596898640298660.9193797280597330.540310135970134
100.6274742504647960.7450514990704080.372525749535204
110.4982066583697160.9964133167394330.501793341630284
120.5084418427184750.983116314563050.491558157281525
130.4725651207007690.9451302414015390.527434879299231
140.5077654778144680.9844690443710650.492234522185532
150.4496696943362170.8993393886724330.550330305663783
160.5446656115500160.9106687768999670.455334388449984
170.5353799757554730.9292400484890530.464620024244527
180.6017911955772290.7964176088455420.398208804422771
190.8800425216354030.2399149567291950.119957478364597
200.8821397707650040.2357204584699920.117860229234996
210.8541240665029480.2917518669941040.145875933497052
220.8186168118455470.3627663763089050.181383188154453
230.7953387887125150.409322422574970.204661211287485
240.8207394454466660.3585211091066680.179260554553334
250.7843190500564650.4313618998870710.215680949943535
260.8098789079137520.3802421841724970.190121092086248
270.7949525647655470.4100948704689070.205047435234453
280.7777520055503770.4444959888992470.222247994449623
290.7456509494410540.5086981011178910.254349050558946
300.7156023678801970.5687952642396070.284397632119803
310.8038560604162550.3922878791674910.196143939583745
320.8025773251731310.3948453496537380.197422674826869
330.8729563768902030.2540872462195940.127043623109797
340.873661341576980.2526773168460390.126338658423019
350.8351222933635230.3297554132729530.164877706636477
360.8928094533930830.2143810932138330.107190546606917
370.8696195109071220.2607609781857550.130380489092878
380.8339944743538710.3320110512922570.166005525646129
390.8281997597851040.3436004804297910.171800240214896
400.8243153381772690.3513693236454620.175684661822731
410.777874006189980.444251987620040.22212599381002
420.741937400057730.516125199884540.25806259994227
430.698449369688720.6031012606225590.30155063031128
440.6394509137766480.7210981724467030.360549086223352
450.5881505551775830.8236988896448330.411849444822417
460.8547900935199940.2904198129600120.145209906480006
470.8089468709644470.3821062580711060.191053129035553
480.7547634236790920.4904731526418170.245236576320908
490.7367227298004750.526554540399050.263277270199525
500.6755183130911770.6489633738176450.324481686908823
510.800798413279920.3984031734401590.19920158672008
520.9042798229959070.1914403540081850.0957201770040927
530.9324155289488640.1351689421022730.0675844710511364
540.9254633007492880.1490733985014240.074536699250712
550.8867645433638130.2264709132723740.113235456636187
560.8307530352691020.3384939294617970.169246964730898
570.7461218439054180.5077563121891640.253878156094582
580.6340839909725760.7318320180548480.365916009027424
590.5074395749337320.9851208501325350.492560425066267
600.4145811819803670.8291623639607340.585418818019633
610.273385249014780.5467704980295610.72661475098522


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