Multiple Linear Regression - Estimated Regression Equation

Totale_score[t] = + 2.0221380901886 -0.0205633229750716time_in_rfc[t] + 0.00402057552451883logins[t] + 0.075462358421005compendiums_reviewed[t] -0.531115745006386`What_is_your_gender?`[t] -0.132478093259995`What_is_your_age?`[t] + e[t]

Multiple Linear Regression - Ordinary Least Squares
Variable	Parameter	S.D.	T-STAT H0: parameter = 0	2-tail p-value	1-tail p-value
(Intercept)	2.0221380901886	4.324452	0.4676	0.64168	0.32084
time_in_rfc	-0.0205633229750716	0.019508	-1.0541	0.295877	0.147938
logins	0.00402057552451883	0.009881	0.4069	0.685452	0.342726
compendiums_reviewed	0.075462358421005	0.04398	1.7158	0.091109	0.045555
`What_is_your_gender?`	-0.531115745006386	0.578352	-0.9183	0.361951	0.180975
`What_is_your_age?`	-0.132478093259995	0.210202	-0.6302	0.530816	0.265408

Multiple Linear Regression - Regression Statistics
Multiple R	0.251965123896546
R-squared	0.0634864236602016
Adjusted R-squared	-0.0108400506524808
F-TEST (value)	0.854156264605286
F-TEST (DF numerator)	5
F-TEST (DF denominator)	63
p-value	0.516909458658315
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	2.27653287492752
Sum Squared Residuals	326.503921629423

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	Interpolation Forecast	Residuals Prediction Error
1	-3	0.0460144387989154	-3.04601443879892
2	-2	-0.613082447378792	-1.38691755262121
3	0	-0.121414058639718	0.121414058639718
4	0	-0.142991617307599	0.142991617307599
5	0	-0.14320045611534	0.14320045611534
6	-4	0.46890936759225	-4.46890936759225
7	1	0.0519618072939885	0.948038192706012
8	2	-0.414876919769168	2.41487691976917
9	-4	0.482214321819097	-4.4822143218191
10	0	0.836819603858777	-0.836819603858777
11	0	-0.318317068085538	0.318317068085538
12	-3	0.341380956715846	-3.34138095671585
13	0	0.621709438349647	-0.621709438349647
14	-4	0.723584323203083	-4.72358432320308
15	-2	0.402236055643665	-2.40223605564367
16	0	1.55073462533315	-1.55073462533315
17	-1	-0.133330615587255	-0.866669384412745
18	-3	0.53496188054424	-3.53496188054424
19	4	0.638509864542165	3.36149013545783
20	2	1.07350937188111	0.926490628118892
21	1	0.891302197703672	0.108697802296328
22	0	1.04529431379922	-1.04529431379922
23	-1	0.114001148603146	-1.11400114860315
24	-2	0.199060712232052	-2.19906071223205
25	0	0.532077984454975	-0.532077984454975
26	-2	0.198721552280866	-2.19872155228087
27	1	-0.0971784564460243	1.09717845644602
28	2	-0.00670261984890308	2.0067026198489
29	0	-0.00353249506949711	0.00353249506949711
30	0	1.09042733665157	-1.09042733665157
31	4	0.964651718555307	3.03534828144469
32	3	0.98522435728317	2.01477564271683
33	4	-0.172935415353086	4.17293541535309
34	3	0.49775772224097	2.50224227775903
35	1	-0.721733460563582	1.72173346056358
36	-2	0.723816021225808	-2.72381602122581
37	2	0.214791116666444	1.78520888333356
38	2	0.34272309137277	1.65727690862723
39	3	0.270951017959902	2.7290489820401
40	3	1.55014914316003	1.44985085683997
41	2	0.412495004888487	1.58750499511151
42	3	1.3648163617598	1.6351836382402
43	2	1.10031227730176	0.899687722698239
44	3	1.70875785075634	1.29124214924366
45	2	0.0892380918354536	1.91076190816455
46	6	0.747915270561582	5.25208472943842
47	2	0.438143510952246	1.56185648904775
48	1	-0.527653123998006	1.52765312399801
49	2	1.30732958395252	0.692670416047475
50	0	-0.0863209494016833	0.0863209494016833
51	1	-0.293602269750351	1.29360226975035
52	-3	0.419505251031028	-3.41950525103103
53	0	0.34022752186629	-0.34022752186629
54	-3	-0.55135847047509	-2.44864152952491
55	2	0.209881204517087	1.79011879548291
56	2	0.958048501660277	1.04195149833972
57	0	0.581817892696985	-0.581817892696985
58	2	1.13059716929696	0.869402830703041
59	0	0.440399535185922	-0.440399535185922
60	0	1.03907871095019	-1.03907871095019
61	-1	0.481508163180306	-1.48150816318031
62	3	0.95300669403305	2.04699330596695
63	3	0.982697105676145	2.01730289432385
64	-4	0.473681909087984	-4.47368190908798
65	-1	-0.103998518732912	-0.896001481267088
66	2	-0.215516850949916	2.21551685094992
67	0	-0.784060171716148	0.784060171716148
68	-3	0.363561540669105	-3.3635615406691
69	0	0.515291343563243	-0.515291343563243

Goldfeld-Quandt test for Heteroskedasticity
p-values	Alternative Hypothesis
breakpoint index	greater	2-sided	less
9	0.259276247526968	0.518552495053935	0.740723752473032
10	0.722334227411091	0.555331545177818	0.277665772588909
11	0.595636668870634	0.808726662258732	0.404363331129366
12	0.555904919099459	0.888190161801081	0.444095080900541
13	0.554823021062783	0.890353957874434	0.445176978937217
14	0.588519724170503	0.822960551658993	0.411480275829497
15	0.531976040306543	0.936047919386913	0.468023959693457
16	0.609290417774989	0.781419164450022	0.390709582225011
17	0.593894184095441	0.812211631809117	0.406105815904559
18	0.668733939770027	0.662532120459945	0.331266060229973
19	0.892745352933343	0.214509294133314	0.107254647066657
20	0.908023672505364	0.183952654989272	0.0919763274946362
21	0.875087360006477	0.249825279987046	0.124912639993523
22	0.8478376431654	0.304324713669201	0.1521623568346
23	0.824903640992377	0.350192718015246	0.175096359007623
24	0.841988671459635	0.31602265708073	0.158011328540365
25	0.801475767194161	0.397048465611679	0.198524232805839
26	0.834909339178025	0.330181321643951	0.165090660821975
27	0.804715052227523	0.390569895544955	0.195284947772477
28	0.783223182838277	0.433553634323446	0.216776817161723
29	0.741665627802531	0.516668744394938	0.258334372197469
30	0.716716439513154	0.566567120973692	0.283283560486846
31	0.813731781594783	0.372536436810434	0.186268218405217
32	0.80979881345825	0.380402373083499	0.19020118654175
33	0.890221594005865	0.219556811988269	0.109778405994135
34	0.890413141149115	0.219173717701769	0.109586858850885
35	0.852208372688234	0.295583254623531	0.147791627311766
36	0.914607345763239	0.170785308473522	0.0853926542367611
37	0.89113286795783	0.217734264084339	0.10886713204217
38	0.855583716814761	0.288832566370479	0.144416283185239
39	0.843198421889386	0.313603156221228	0.156801578110614
40	0.837269634773952	0.325460730452096	0.162730365226048
41	0.795369203961067	0.409261592077866	0.204630796038933
42	0.755130563374725	0.489738873250551	0.244869436625275
43	0.701627488757169	0.596745022485662	0.298372511242831
44	0.63826578665292	0.72346842669416	0.36173421334708
45	0.621833536349145	0.75633292730171	0.378166463650855
46	0.858086404624397	0.283827190751205	0.141913595375603
47	0.808296610600714	0.383406778798572	0.191703389399286
48	0.751747869983047	0.496504260033905	0.248252130016953
49	0.735328408464672	0.529343183070656	0.264671591535328
50	0.66660435339658	0.66679129320684	0.33339564660342
51	0.771280034977302	0.457439930045396	0.228719965022698
52	0.907384351963343	0.185231296073313	0.0926156480366567
53	0.978938180550293	0.0421236388994135	0.0210618194497067
54	0.965952059915739	0.0680958801685229	0.0340479400842615
55	0.940573447025018	0.118853105949963	0.0594265529749817
56	0.899082703485993	0.201834593028015	0.100917296514007
57	0.828153637823447	0.343692724353107	0.171846362176553
58	0.735012628917792	0.529974742164416	0.264987371082208
59	0.612274424550786	0.775451150898428	0.387725575449214
60	0.531557088639604	0.936885822720792	0.468442911360396

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description	# significant tests	% significant tests	OK/NOK
1% type I error level	0	0	OK
5% type I error level	1	0.0192307692307692	OK
10% type I error level	2	0.0384615384615385	OK