Multiple Linear Regression - Estimated Regression Equation
pr[t] = + 11.2519485957141 + 0.0154685333902034pgviews[t] + 4.21335961704024e-05timerfc[t] -0.00412545059060588compviewpronly[t] -0.0319122815828951compview[t] + 6.20323283192624e-05char[t] + 0.00684485454646724`hyperlinks `[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)11.25194859571411.5774117.133200
pgviews0.01546853339020340.002955.2431e-060
timerfc4.21335961704024e-051.7e-052.54060.0120360.006018
compviewpronly-0.004125450590605880.01195-0.34520.7303880.365194
compview-0.03191228158289510.006597-4.83773e-062e-06
char6.20323283192624e-052.1e-052.91520.0040740.002037
`hyperlinks `0.006844854546467240.0201490.33970.7345250.367263


Multiple Linear Regression - Regression Statistics
Multiple R0.82120045426018
R-squared0.674370186077125
Adjusted R-squared0.661925734589627
F-TEST (value)54.1904307115981
F-TEST (DF numerator)6
F-TEST (DF denominator)157
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation8.70129580705954
Sum Squared Residuals11886.8701493465


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
14144.2835137341622-3.28351373416218
23431.4385366625682.561463337432
34435.83379134765738.16620865234267
43833.08335125320744.91664874679263
52728.6685157879752-1.66851578797515
63523.156233607343311.8437663926567
73346.1169218812015-13.1169218812015
81816.26066694173311.73933305826687
93438.2554858202248-4.25548582022483
103332.92305025550970.0769497444902889
114637.51936821838558.48063178161447
125739.041477488932617.9585225110674
133730.84296074165366.15703925834638
145542.384968878830112.6150311211699
154438.78707507874275.21292492125726
166257.70797396931854.29202603068152
174046.3592437300997-6.35924373009971
183944.5743361481414-5.57433614814141
193234.0817014538047-2.08170145380474
205146.38539509198134.61460490801869
214942.85525755997896.14474244002114
223941.3820376435437-2.38203764354368
232532.7478194216885-7.74781942168854
245634.912860267774921.0871397322251
254541.38794961153763.61205038846244
263841.0018050728061-3.0018050728061
274540.33472483381794.66527516618209
284339.51241844567973.48758155432026
293226.14462877581245.85537122418757
304144.1833027415605-3.18330274156048
315039.776561304045110.2234386959549
325037.224068491863512.7759315081365
335143.56553792367.43446207640004
343724.676934286974712.3230657130253
354449.8220546207728-5.82205462077279
364232.21050473572819.78949526427188
374450.8132263531784-6.81322635317838
383635.17656500260260.82343499739736
391723.7707988242053-6.77079882420528
404349.6139191335737-6.61391913357366
414134.74886366606656.25113633393354
424130.410666763840910.5893332361591
433833.56088719130724.43911280869276
444935.56922699214613.430773007854
454529.542269624808215.4577303751918
464254.0175045965968-12.0175045965968
472620.19877983464635.80122016535367
485240.588974552413611.4110254475864
495055.772203013952-5.77220301395201
504530.205521391362414.7944786086376
514037.99736711373232.00263288626771
52413.3210885198663-9.32108851986635
534450.6872120664969-6.68721206649692
541819.4391330619457-1.4391330619457
551420.899595402978-6.89959540297795
563841.6286001925746-3.62860019257455
576155.43806016324695.5619398367531
583959.0178241062677-20.0178241062677
594243.1083238370321-1.10832383703211
604036.50977823893913.49022176106093
615158.3084026878174-7.30840268781742
622848.9658766543756-20.9658766543756
634335.35541375560487.64458624439517
644240.45469160420981.54530839579024
653733.58614335473113.41385664526889
663039.6170284518935-9.61702845189353
673942.2729360094985-3.27293600949851
684443.49370937482480.506290625175214
693640.1012216865512-4.10122168655121
702833.5986098195265-5.59860981952645
714738.81728363915158.18271636084851
722317.29884148672265.70115851327743
734838.86553225347729.13446774652275
743830.2022777617297.79772223827097
754235.53067794907866.46932205092143
764638.30804495126757.69195504873251
773743.5391278698823-6.53912786988234
784147.5923434297806-6.59234342978061
794239.158808886532.84119111346999
804133.65205485449037.34794514550969
813628.69539237839097.3046076216091
824566.3036407035123-21.3036407035123
832620.21336840268655.78663159731348
844445.6947905886919-1.69479058869188
85817.9630985482746-9.96309854827457
862722.2459838167194.75401618328102
873836.57508698073321.42491301926684
883846.0637273804961-8.06372738049613
895745.848242522434911.1517574775651
904543.07974103866711.92025896133286
914040.0724106723741-0.072410672374065
924245.4209932117836-3.42099321178359
933133.0438213374824-2.04382133748242
943639.8991133927674-3.89911339276736
954043.7741942789488-3.77419427894882
964039.10232239554880.897677604451164
973542.9314355529334-7.9314355529334
983944.997599603667-5.99759960366698
996559.90647653195165.09352346804842
1003354.6026881979435-21.6026881979435
1015148.02847885379062.97152114620942
1024244.0272604917442-2.02726049174421
1033633.38127504082442.61872495917557
1041918.43053227665380.569467723346196
1052532.9805507014366-7.9805507014366
1064440.22646068012323.77353931987682
1074032.43014648169977.56985351830033
1084440.05992500326353.94007499673653
1093036.9165950732013-6.9165950732013
1104548.043462079277-3.04346207927694
1114245.7908088671604-3.79080886716044
1124545.0985371144822-0.0985371144821614
113113.5360490045894-12.5360490045894
1144034.5819957964075.41800420359299
1151117.5992827582633-6.59928275826327
1164531.665660398436213.3343396015638
1173847.4513544680424-9.45135446804237
118013.5383247981094-13.5383247981094
1193034.0344838634827-4.03448386348274
120814.878480335191-6.87848033519101
1214146.8370939351792-5.83709393517925
1224840.74329723840147.25670276159863
1234836.52225813769811.477741862302
1243233.0836902063553-1.08369020635534
125813.2795829469032-5.27958294690323
1264336.95830113870846.04169886129162
1275244.84422883917667.15577116082345
1285333.309067789810119.6909322101899
1294943.69662982086465.30337017913537
1304846.20884211878111.79115788121891
1315663.2297208283675-7.22972082836753
1324028.998505440022211.0014945599778
1333624.400728832706411.5992711672936
1344445.273734417101-1.27373441710097
1354658.2889274821682-12.2889274821682
1364336.81407417661326.18592582338677
1374648.9427040853461-2.94270408534614
1383929.11532597988489.8846740201152
1394138.88597086174922.11402913825079
1404638.16724902914917.83275097085092
1413237.887576871659-5.88757687165896
1424547.3273700947093-2.32737009470934
1433941.1086174174701-2.10861741747008
1442129.4481231467528-8.44812314675282
1454951.2067493023223-2.20674930232227
1465535.557465029629819.4425349703702
1473640.6755609703475-4.67556097034752
1484850.2305043219179-2.23050432191793
149011.2829277960907-11.2829277960907
150012.7680943196903-12.7680943196903
151011.3334203550898-11.3334203550898
152011.3948676490933-11.3948676490933
153011.2519485957141-11.2519485957141
154011.2519485957141-11.2519485957141
1554338.28519373837484.71480626162524
1565250.77982298360251.2201770163975
157011.2519485957141-11.2519485957141
158011.3223758492975-11.3223758492975
159011.672558334367-11.672558334367
160512.7281088016662-7.72810880166624
161112.2220797193641-11.2220797193641
1624526.921872000560618.0781279994394
163011.7413635187191-11.7413635187191
1643437.4173271113826-3.41732711138265


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
100.38724234898620.77448469797240.6127576510138
110.3550537551101360.7101075102202720.644946244889864
120.5009921261583250.998015747683350.499007873841675
130.3745796188528990.7491592377057980.625420381147101
140.4925403885807510.9850807771615030.507459611419249
150.421634771336270.843269542672540.57836522866373
160.4001839967250180.8003679934500350.599816003274982
170.3269447996808360.6538895993616730.673055200319164
180.2653421611002550.530684322200510.734657838899745
190.2035714199830960.4071428399661910.796428580016904
200.1492449725336680.2984899450673350.850755027466332
210.1059056573593330.2118113147186660.894094342640667
220.07333378903637880.1466675780727580.926666210963621
230.09608813179867720.1921762635973540.903911868201323
240.3643671114576070.7287342229152140.635632888542393
250.3477813562657540.6955627125315070.652218643734246
260.3132599530080140.6265199060160280.686740046991986
270.2549769201134960.5099538402269920.745023079886504
280.2055638594103510.4111277188207010.79443614058965
290.1629126239365070.3258252478730140.837087376063493
300.1353433050478730.2706866100957470.864656694952126
310.159606893453820.3192137869076390.84039310654618
320.1469281323034480.2938562646068950.853071867696553
330.1245565314151610.2491130628303220.875443468584839
340.1419489460443130.2838978920886260.858051053955687
350.1463768372550710.2927536745101420.85362316274493
360.138976223544230.2779524470884590.86102377645577
370.1255205313915680.2510410627831360.874479468608432
380.1067666181249010.2135332362498030.893233381875099
390.1565452014950730.3130904029901460.843454798504927
400.1460419622979580.2920839245959170.853958037702042
410.1296220657431710.2592441314863430.870377934256829
420.1194960959450750.2389921918901510.880503904054925
430.09563105913129320.1912621182625860.904368940868707
440.1071141924348630.2142283848697250.892885807565137
450.1320780943552230.2641561887104470.867921905644777
460.1670829535983140.3341659071966270.832917046401686
470.1428983438502530.2857966877005050.857101656149747
480.13951333791920.2790266758383990.8604866620808
490.128551247815260.257102495630520.87144875218474
500.1419981391031280.2839962782062550.858001860896872
510.1187974449136860.2375948898273710.881202555086314
520.2558517937221470.5117035874442950.744148206277853
530.2297343600491310.4594687200982620.770265639950869
540.2199121516530570.4398243033061150.780087848346943
550.2545937421500870.5091874843001750.745406257849913
560.2390375607667760.4780751215335510.760962439233224
570.2207395758542640.4414791517085290.779260424145736
580.5503772405361480.8992455189277040.449622759463852
590.503963864423510.992072271152980.49603613557649
600.4608585949433590.9217171898867170.539141405056642
610.436484416718460.8729688334369190.56351558328154
620.7248193639080180.5503612721839640.275180636091982
630.7273685245877770.5452629508244460.272631475412223
640.6945955606533190.6108088786933630.305404439346681
650.6582338952347030.6835322095305940.341766104765297
660.6841534452433220.6316931095133560.315846554756678
670.6513693165923650.697261366815270.348630683407635
680.6071074726325020.7857850547349950.392892527367498
690.5730992845013680.8538014309972630.426900715498632
700.5626108118293670.8747783763412650.437389188170633
710.5682821409120820.8634357181758360.431717859087918
720.5480137841086350.903972431782730.451986215891365
730.5687091663828780.8625816672342440.431290833617122
740.5481499897890550.9037000204218890.451850010210945
750.5321257988692280.9357484022615440.467874201130772
760.5365037330440560.9269925339118890.463496266955944
770.5069459693798050.986108061240390.493054030620195
780.4761960254015250.952392050803050.523803974598475
790.4430531095385590.8861062190771170.556946890461441
800.4343780591274580.8687561182549170.565621940872542
810.4447965618220070.8895931236440140.555203438177993
820.636436993512470.7271260129750610.363563006487531
830.6550515597923840.6898968804152320.344948440207616
840.6121108889947250.775778222010550.387889111005275
850.6760409175693120.6479181648613760.323959082430688
860.6336436391738680.7327127216522630.366356360826132
870.5892186376604510.8215627246790980.410781362339549
880.8016391841554010.3967216316891990.198360815844599
890.856871400092670.286257199814660.14312859990733
900.8411404249668990.3177191500662020.158859575033101
910.8282649497020950.3434701005958110.171735050297906
920.800469364590440.399061270819120.19953063540956
930.7759503215156870.4480993569686270.224049678484313
940.7510436260972120.4979127478055760.248956373902788
950.7730851832582040.4538296334835930.226914816741796
960.7364314505779910.5271370988440180.263568549422009
970.7463166670576450.507366665884710.253683332942355
980.721854649275070.556290701449860.27814535072493
990.7177774992658760.5644450014682480.282222500734124
1000.8795604631262540.2408790737474930.120439536873746
1010.8671932302653120.2656135394693760.132806769734688
1020.8527078293107180.2945843413785630.147292170689282
1030.8234089204224590.3531821591550820.176591079577541
1040.7973731376874030.4052537246251940.202626862312597
1050.8077441892123830.3845116215752340.192255810787617
1060.7777200149665970.4445599700668060.222279985033403
1070.7646474187111070.4707051625777870.235352581288893
1080.7983564971430450.4032870057139110.201643502856955
1090.7947205645629980.4105588708740030.205279435437002
1100.7594462432429970.4811075135140050.240553756757003
1110.7204838096302060.5590323807395890.279516190369794
1120.6791946728614250.641610654277150.320805327138575
1130.741476087155950.51704782568810.25852391284405
1140.7765345208712560.4469309582574880.223465479128744
1150.7667673243715750.466465351256850.233232675628425
1160.7801623729233910.4396752541532190.219837627076609
1170.7551298624128640.4897402751742720.244870137587136
1180.7897246711353590.4205506577292820.210275328864641
1190.7544011243710290.4911977512579420.245598875628971
1200.7345634458993070.5308731082013850.265436554100693
1210.7213493523426340.5573012953147320.278650647657366
1220.7096370409127240.5807259181745520.290362959087276
1230.6986616181563680.6026767636872640.301338381843632
1240.649039294012290.7019214119754210.35096070598771
1250.6285252660632040.7429494678735910.371474733936796
1260.5828738420276440.8342523159447130.417126157972356
1270.5490061875861730.9019876248276540.450993812413827
1280.7238372625518780.5523254748962440.276162737448122
1290.6979186565582760.6041626868834480.302081343441724
1300.6452132510657420.7095734978685160.354786748934258
1310.8011248533793240.3977502932413520.198875146620676
1320.865228321014250.2695433579715020.134771678985751
1330.922500810906320.154998378187360.07749918909368
1340.933566742334210.1328665153315820.0664332576657908
1350.9933529045046210.0132941909907580.00664709549537898
1360.9959866340940650.008026731811869680.00401336590593484
1370.9940354156169670.01192916876606570.00596458438303287
1380.998267354629470.003465290741059120.00173264537052956
1390.9972960729243880.005407854151223890.00270392707561195
1400.9996350458715610.0007299082568772470.000364954128438623
1410.9999317800364990.0001364399270023076.82199635011534e-05
1420.999988537045452.29259091017935e-051.14629545508968e-05
1430.9999719293970185.61412059640583e-052.80706029820291e-05
1440.9999324134937020.0001351730125961466.7586506298073e-05
1450.9999510808844339.78382311334906e-054.89191155667453e-05
1460.9999969284205026.14315899495622e-063.07157949747811e-06
1470.9999957975793398.40484132284976e-064.20242066142488e-06
1480.9999999998982252.03550336220059e-101.0177516811003e-10
1490.9999999983588023.28239669182121e-091.6411983459106e-09
1500.9999999761328874.77342263039911e-082.38671131519956e-08
1510.9999996311056647.37788672730723e-073.68894336365362e-07
1520.9999947916111961.04167776089052e-055.20838880445262e-06
1530.9999250294676750.0001499410646495597.49705323247793e-05
1540.9990037964363270.001992407127345380.000996203563672692


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level180.124137931034483NOK
5% type I error level200.137931034482759NOK
10% type I error level200.137931034482759NOK