Multiple Linear Regression - Estimated Regression Equation

I1[t] = + 19.9178742685728 -0.00190990678327006pageviews[t] + 0.00798187645663885logins[t] + 0.00240263112631556compendium_views_info[t] + 0.00957174513234818compendium_views_pr[t] -0.0539187838154629shared_compendiums[t] + 0.00744555764255144blogged_computations[t] + 0.000129572863549165compendiums_reviewed[t] -0.0194555295390768feedback_messages_p1[t] + 0.0194498283309025feedback_messages_p120[t] -7.58925008073996e-06totsize[t] -1.5915369884817e-05totrevisions[t] + 1.8169927990216e-05totseconds[t] + 0.047285835542468tothyperlinks[t] -0.0519368652722589totblogs[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)	19.9178742685728	0.892892	22.3072	0	0
pageviews	-0.00190990678327006	0.001717	-1.1125	0.267596	0.133798
logins	0.00798187645663885	0.011918	0.6697	0.50401	0.252005
compendium_views_info	0.00240263112631556	0.003688	0.6514	0.515715	0.257857
compendium_views_pr	0.00957174513234818	0.006829	1.4016	0.162989	0.081494
shared_compendiums	-0.0539187838154629	0.130537	-0.4131	0.680127	0.340064
blogged_computations	0.00744555764255144	0.024026	0.3099	0.757047	0.378523
compendiums_reviewed	0.000129572863549165	0.220512	6e-04	0.999532	0.499766
feedback_messages_p1	-0.0194555295390768	0.06188	-0.3144	0.753626	0.376813
feedback_messages_p120	0.0194498283309025	0.025807	0.7537	0.452179	0.22609
totsize	-7.58925008073996e-06	1.4e-05	-0.559	0.57695	0.288475
totrevisions	-1.5915369884817e-05	7.1e-05	-0.2253	0.822045	0.411022
totseconds	1.8169927990216e-05	1.6e-05	1.1479	0.252746	0.126373
tothyperlinks	0.047285835542468	0.086398	0.5473	0.584944	0.292472
totblogs	-0.0519368652722589	0.090682	-0.5727	0.567636	0.283818

Multiple Linear Regression - Regression Statistics
Multiple R	0.187684450932498
R-squared	0.0352254531218332
Adjusted R-squared	-0.0502608991331943
F-TEST (value)	0.412059377814447
F-TEST (DF numerator)	14
F-TEST (DF denominator)	158
p-value	0.969454732372412
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	3.83746938599091
Sum Squared Residuals	2326.73506356996

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	Interpolation Forecast	Residuals Prediction Error
1	11	20.1037391852822	-9.10373918528224
2	15	20.5254533827416	-5.52545338274164
3	19	18.2750951108989	0.724904889101137
4	23	21.4363257760289	1.56367422397108
5	16	19.4069859463457	-3.40698594634569
6	21	19.6177833847282	1.38221661527177
7	24	21.106697730202	2.89330226979797
8	15	19.4871338305997	-4.48713383059967
9	17	20.0963444452249	-3.09634444522495
10	19	19.8652847735212	-0.865284773521232
11	19	19.6555684837824	-0.655568483782406
12	25	19.9590704964248	5.04092950357518
13	19	19.7726276630971	-0.77262766309714
14	28	20.9664332547644	7.03356674523564
15	24	20.2162259189451	3.78377408105491
16	26	20.4508325030341	5.5491674969659
17	15	20.0141118032726	-5.01411180327259
18	21	20.2253466518765	0.774653348123453
19	26	20.9877715052639	5.01222849473609
20	16	20.0999185126619	-4.09991851266191
21	16	20.3910020476635	-4.39100204766352
22	20	19.3629536245999	0.637046375400121
23	24	21.0988693321058	2.9011306678942
24	10	20.5873555334737	-10.5873555334737
25	19	19.8907327508096	-0.890732750809556
26	25	19.8890504093271	5.1109495906729
27	22	19.6035239312062	2.39647606879384
28	15	20.4976017670557	-5.49760176705569
29	21	19.4495803792305	1.55041962076945
30	22	19.5070274433617	2.49297255663828
31	27	20.5812013009368	6.41879869906322
32	26	19.0091247207728	6.9908752792272
33	26	23.8052231877978	2.1947768122022
34	22	19.5688243011192	2.43117569888084
35	20	20.4191399551553	-0.41913995515532
36	22	19.9929492174221	2.00705078257793
37	21	21.6445067113253	-0.644506711325309
38	22	19.6798443436881	2.3201556563119
39	20	19.7498377231512	0.250162276848813
40	21	19.4779255501433	1.52207444985671
41	20	20.0089451640567	-0.00894516405672422
42	25	22.0333041533987	2.96669584660126
43	18	20.4648497366594	-2.46484973665936
44	22	20.2861741003375	1.71382589966253
45	25	20.2663209559314	4.73367904406862
46	21	19.4061865853239	1.59381341467609
47	20	19.4945202480285	0.505479751971496
48	20	19.6001838208826	0.399816179117422
49	18	19.3447595225216	-1.34475952252163
50	8	19.61892924892	-11.61892924892
51	22	19.8975601329691	2.10243986703086
52	26	20.5108250147018	5.48917498529816
53	18	19.2170743840842	-1.2170743840842
54	20	19.7957381085135	0.204261891486488
55	24	19.3622874892428	4.63771251075724
56	17	19.7904780586159	-2.79047805861592
57	20	20.2879624047917	-0.287962404791652
58	23	19.4902160373212	3.50978396267879
59	20	20.1450075223051	-0.14500752230508
60	22	21.8381259751533	0.16187402484667
61	20	18.7132219811729	1.28677801882708
62	19	20.3292883566626	-1.3292883566626
63	15	19.4816160158661	-4.48161601586612
64	20	19.5694634852973	0.430536514702684
65	22	20.1339682511142	1.86603174888576
66	13	19.5097410473831	-6.50974104738313
67	20	20.2637131801119	-0.263713180111902
68	17	20.0970192898562	-3.09701928985617
69	14	18.9664649903372	-4.96646499033725
70	22	19.6905780362908	2.30942196370917
71	24	19.0816027425256	4.91839725747436
72	22	20.483531420453	1.51646857954701
73	23	19.5933407034863	3.40665929651373
74	17	19.259318885605	-2.25931888560498
75	23	20.3139971128718	2.68600288712816
76	25	20.1467675803729	4.85323241962707
77	16	20.0299610155703	-4.02996101557033
78	18	19.6527791519478	-1.65277915194785
79	20	19.8707462752316	0.129253724768414
80	18	19.581599445403	-1.58159944540303
81	24	19.8970531110426	4.10294688895737
82	23	19.5841373598529	3.41586264014707
83	24	19.2020852246069	4.79791477539307
84	23	19.8388637653348	3.16113623466525
85	23	19.4127575192968	3.5872424807032
86	13	19.233735396462	-6.23373539646199
87	20	20.9253480308683	-0.925348030868254
88	18	20.9619796663117	-2.96197966631168
89	21	19.7960091724224	1.20399082757757
90	17	19.7944465093235	-2.79444650932348
91	20	19.3812858652773	0.61871413472268
92	19	19.61383812472	-0.613838124720045
93	18	19.6191654161523	-1.61916541615229
94	19	19.520569293207	-0.520569293206989
95	22	21.1123558755468	0.887644124453185
96	22	18.674205958954	3.32579404104598
97	15	19.0642766282597	-4.06427662825974
98	17	20.4653025841061	-3.46530258410606
99	19	20.5306624876252	-1.53066248762522
100	20	19.4139835967488	0.58601640325124
101	22	21.2732110825486	0.726788917451351
102	21	20.170464013484	0.829535986515984
103	19	20.5897922101609	-1.58979221016086
104	21	21.173702778741	-0.173702778740952
105	18	18.2483363395415	-0.248336339541471
106	16	20.4587820256295	-4.4587820256295
107	20	20.0143359651774	-0.0143359651774448
108	21	19.1890537001589	1.8109462998411
109	15	20.5782462058439	-5.57824620584388
110	20	20.2842289889181	-0.284228988918142
111	23	19.9745975165406	3.02540248345943
112	15	18.7584742416779	-3.75847424167787
113	18	19.5708214560064	-1.57082145600638
114	22	18.5831826235648	3.41681737643517
115	16	18.6487058572661	-2.64870585726615
116	17	19.653725198154	-2.65372519815404
117	24	20.131213427156	3.86878657284404
118	13	20.5656396692852	-7.56563966928519
119	23	19.3755823676987	3.62441763230125
120	5	19.4218099189055	-14.4218099189055
121	19	19.1288821530024	-0.128882153002393
122	24	19.8278711403668	4.17212885963324
123	19	18.6847465984815	0.315253401518512
124	20	19.9569791109735	0.0430208890264686
125	22	20.1309354709971	1.86906452900295
126	15	20.8280794465755	-5.82807944657546
127	19	19.7277322438962	-0.727732243896201
128	25	19.9334112518503	5.06658874814967
129	21	19.5117031172189	1.48829688278114
130	19	19.5844070164052	-0.584407016405203
131	17	20.3175785716296	-3.31757857162958
132	15	20.2747904676679	-5.27479046766785
133	21	20.3572672613308	0.642732738669235
134	24	19.8341452310617	4.16585476893835
135	22	19.2597384907592	2.74026150924079
136	19	20.2466752197217	-1.24667521972174
137	20	18.1315058807945	1.86849411920549
138	21	19.6357027946879	1.36429720531215
139	19	19.6405299634299	-0.64052996342988
140	22	19.8584743894936	2.14152561050636
141	14	19.6808027385779	-5.68080273857789
142	25	19.3221589289112	5.67784107108885
143	11	19.3278420017823	-8.32784200178232
144	16	19.5218713000008	-3.52187130000079
145	19	19.7589256285396	-0.758925628539616
146	17	19.8681688594697	-2.86816885946974
147	20	18.8113794822895	1.1886205177105
148	22	19.3770845485493	2.62291545145066
149	20	19.6081655717242	0.391834428275824
150	22	19.4351561229376	2.56484387706241
151	15	19.6530568907396	-4.65305689073963
152	23	19.5746799041418	3.42532009585815
153	20	19.8131735887657	0.186826411234337
154	17	19.5099781109431	-2.50997811094315
155	20	19.7712050718325	0.228794928167474
156	25	19.4682993909807	5.53170060901932
157	22	19.3574504176575	2.64254958234252
158	16	20.1903587330668	-4.19035873306676
159	25	20.4707716827837	4.52922831721632
160	18	19.9930625277743	-1.99306252777432
161	19	19.842869071505	-0.842869071504979
162	25	19.9065238839199	5.09347611608012
163	23	19.6063507089068	3.39364929109321
164	24	19.6861849288484	4.31381507115165
165	21	19.7051535565642	1.29484644343576
166	21	19.7600308741174	1.23996912588258
167	22	19.9120149492649	2.08798505073507
168	21	20.4369708589547	0.56302914104525
169	18	19.5991729572313	-1.59917295723133
170	13	19.8261025379118	-6.82610253791176
171	22	19.9025584464537	2.09744155354627
172	23	19.8537820606267	3.1462179393733
173	15	19.7683784509445	-4.76837845094449

Goldfeld-Quandt test for Heteroskedasticity
p-values	Alternative Hypothesis
breakpoint index	greater	2-sided	less
18	0.96309016168773	0.0738196766245409	0.0369098383122704
19	0.960014580321183	0.0799708393576345	0.0399854196788172
20	0.969323247913814	0.0613535041723723	0.0306767520861861
21	0.954792131014217	0.0904157379715666	0.0452078689857833
22	0.923525282139694	0.152949435720612	0.0764747178603061
23	0.898325423421102	0.203349153157796	0.101674576578898
24	0.915740211362131	0.168519577275739	0.0842597886378694
25	0.87861881729196	0.242762365416082	0.121381182708041
26	0.881915857156018	0.236168285687964	0.118084142843982
27	0.83827154674143	0.323456906517138	0.161728453258569
28	0.812460595298874	0.375078809402252	0.187539404701126
29	0.758651693061381	0.482696613877238	0.241348306938619
30	0.779627343401292	0.440745313197416	0.220372656598708
31	0.806090704269372	0.387818591461256	0.193909295730628
32	0.897168504424885	0.205662991150229	0.102831495575115
33	0.9042932305331	0.191413538933802	0.0957067694669011
34	0.914680808946373	0.170638382107254	0.0853191910536268
35	0.912110593766104	0.175778812467791	0.0878894062338957
36	0.886000766045043	0.227998467909914	0.113999233954957
37	0.888266081838227	0.223467836323545	0.111733918161773
38	0.863132104326142	0.273735791347715	0.136867895673858
39	0.867747197536845	0.26450560492631	0.132252802463155
40	0.834487333697063	0.331025332605874	0.165512666302937
41	0.794418033270216	0.411163933459568	0.205581966729784
42	0.788436338761384	0.423127322477233	0.211563661238616
43	0.798291050344213	0.403417899311575	0.201708949655787
44	0.845228416799594	0.309543166400811	0.154771583200406
45	0.846777874180287	0.306444251639427	0.153222125819713
46	0.821689520160415	0.35662095967917	0.178310479839585
47	0.7866479220487	0.4267041559026	0.2133520779513
48	0.763727455826948	0.472545088346105	0.236272544173052
49	0.732688069452472	0.534623861095056	0.267311930547528
50	0.952543376361831	0.094913247276338	0.047456623638169
51	0.940301973985874	0.119396052028252	0.0596980260141258
52	0.948501914228535	0.10299617154293	0.0514980857714649
53	0.940963376702016	0.118073246595967	0.0590366232979836
54	0.92402692499441	0.151946150011178	0.0759730750055892
55	0.934879731346462	0.130240537307076	0.065120268653538
56	0.938881265686789	0.122237468626422	0.061118734313211
57	0.924118075001584	0.151763849996833	0.0758819249984164
58	0.924251962456056	0.151496075087888	0.0757480375439442
59	0.908147963027257	0.183704073945487	0.0918520369727433
60	0.8910141617133	0.217971676573402	0.108985838286701
61	0.868524350873953	0.262951298252095	0.131475649126047
62	0.880809751009201	0.238380497981597	0.119190248990799
63	0.896005012538536	0.207989974922928	0.103994987461464
64	0.874135999071462	0.251728001857076	0.125864000928538
65	0.859072554717928	0.281854890564144	0.140927445282072
66	0.891106061109638	0.217787877780724	0.108893938890362
67	0.868021608395547	0.263956783208905	0.131978391604453
68	0.86800200103178	0.263995997936439	0.131997998968219
69	0.891207971393324	0.217584057213352	0.108792028606676
70	0.87494320827709	0.250113583445821	0.125056791722911
71	0.890680062610735	0.21863987477853	0.109319937389265
72	0.872967847052272	0.254064305895456	0.127032152947728
73	0.865507560508363	0.268984878983275	0.134492439491637
74	0.844779485967736	0.310441028064528	0.155220514032264
75	0.831892221658446	0.336215556683108	0.168107778341554
76	0.854853832726666	0.290292334546669	0.145146167273334
77	0.857466488772594	0.285067022454812	0.142533511227406
78	0.835508337527082	0.328983324945835	0.164491662472918
79	0.804548187673546	0.390903624652908	0.195451812326454
80	0.776622650188951	0.446754699622098	0.223377349811049
81	0.781595417516624	0.436809164966751	0.218404582483376
82	0.780969632514508	0.438060734970984	0.219030367485492
83	0.803942720295933	0.392114559408134	0.196057279704067
84	0.78476388881602	0.430472222367959	0.215236111183979
85	0.804008462900588	0.391983074198823	0.195991537099412
86	0.842995697949042	0.314008604101916	0.157004302050958
87	0.838766310220253	0.322467379559495	0.161233689779747
88	0.8414957448962	0.317008510207599	0.1585042551038
89	0.812596308372713	0.374807383254573	0.187403691627287
90	0.803544515174209	0.392910969651582	0.196455484825791
91	0.769375838031621	0.461248323936758	0.230624161968379
92	0.734600785449603	0.530798429100795	0.265399214550397
93	0.704562131339001	0.590875737321998	0.295437868660999
94	0.663605152364816	0.672789695270368	0.336394847635184
95	0.626510899433532	0.746978201132935	0.373489100566468
96	0.627098097096475	0.74580380580705	0.372901902903525
97	0.680832596699656	0.638334806600688	0.319167403300344
98	0.667578597753734	0.664842804492533	0.332421402246266
99	0.6465919228818	0.7068161542364	0.3534080771182
100	0.602269614272037	0.795460771455926	0.397730385727963
101	0.622797967130853	0.754404065738295	0.377202032869147
102	0.585218500808226	0.829562998383547	0.414781499191774
103	0.547203446307575	0.905593107384851	0.452796553692425
104	0.50699033396058	0.98601933207884	0.49300966603942
105	0.463063561050955	0.92612712210191	0.536936438949045
106	0.468989288188516	0.937978576377032	0.531010711811484
107	0.438456415987254	0.876912831974508	0.561543584012746
108	0.403288650806224	0.806577301612449	0.596711349193776
109	0.451440644399605	0.90288128879921	0.548559355600395
110	0.40451903715528	0.80903807431056	0.59548096284472
111	0.39665102797747	0.79330205595494	0.60334897202253
112	0.410143718720864	0.820287437441728	0.589856281279136
113	0.403730085101879	0.807460170203759	0.596269914898121
114	0.383647872538195	0.76729574507639	0.616352127461805
115	0.365363328439068	0.730726656878135	0.634636671560932
116	0.335809841531484	0.671619683062968	0.664190158468516
117	0.375000610858382	0.750001221716764	0.624999389141618
118	0.46051067883713	0.92102135767426	0.53948932116287
119	0.482096771386052	0.964193542772105	0.517903228613948
120	0.818396762074484	0.363206475851032	0.181603237925516
121	0.837308331733996	0.325383336532008	0.162691668266004
122	0.831165079631258	0.337669840737485	0.168834920368742
123	0.796385071841137	0.407229856317725	0.203614928158863
124	0.757670796093704	0.484658407812591	0.242329203906296
125	0.750551269612313	0.498897460775374	0.249448730387687
126	0.744082330354052	0.511835339291896	0.255917669645948
127	0.701908456475332	0.596183087049337	0.298091543524668
128	0.749299992931931	0.501400014136138	0.250700007068069
129	0.707436740539179	0.585126518921642	0.292563259460821
130	0.653817510950413	0.692364978099175	0.346182489049587
131	0.60451838005913	0.790963239881741	0.395481619940871
132	0.624781897315243	0.750436205369513	0.375218102684757
133	0.585430770298433	0.829138459403134	0.414569229701567
134	0.548208840725275	0.90358231854945	0.451791159274725
135	0.512044707671169	0.975910584657663	0.487955292328831
136	0.498794367014389	0.997588734028778	0.501205632985611
137	0.489030209258485	0.97806041851697	0.510969790741515
138	0.426300415807208	0.852600831614416	0.573699584192792
139	0.455088833387053	0.910177666774106	0.544911166612947
140	0.515023546852463	0.969952906295074	0.484976453147537
141	0.65162784731251	0.696744305374979	0.348372152687489
142	0.62132038742777	0.75735922514446	0.37867961257223
143	0.833896321806368	0.332207356387264	0.166103678193632
144	0.797066839343883	0.405866321312234	0.202933160656117
145	0.763100462533211	0.473799074933577	0.236899537466789
146	0.691696374262479	0.616607251475042	0.308303625737521
147	0.621687625607859	0.756624748784283	0.378312374392141
148	0.805915882408296	0.388168235183408	0.194084117591704
149	0.796272272424658	0.407455455150685	0.203727727575342
150	0.730624606427451	0.538750787145097	0.269375393572549
151	0.640491361507421	0.719017276985157	0.359508638492579
152	0.528536229448011	0.942927541103978	0.471463770551989
153	0.657018930237087	0.685962139525826	0.342981069762913
154	0.514946213953895	0.97010757209221	0.485053786046105
155	0.760490269487838	0.479019461024324	0.239509730512162

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	0	0	OK
10% type I error level	5	0.036231884057971	OK