Multiple Linear Regression - Estimated Regression Equation
CompendiumViews[t] = + 9.63443536226323 + 0.159598779227482BloggedComputations[t] + 0.471884456993842Hyperlinks[t] + 0.539024502581444submittedfeedback[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)9.634435362263235.5125541.74770.0827040.041352
BloggedComputations0.1595987792274820.3699340.43140.6668230.333412
Hyperlinks0.4718844569938420.3225541.4630.145720.07286
submittedfeedback0.5390245025814440.1456783.70010.0003090.000154


Multiple Linear Regression - Regression Statistics
Multiple R0.507587870131413
R-squared0.257645445904544
Adjusted R-squared0.241737848316784
F-TEST (value)16.1963768874058
F-TEST (DF numerator)3
F-TEST (DF denominator)140
p-value4.30712798760169e-09
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation28.9949877595622
Sum Squared Residuals117699.304124803


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
16828.624207484769339.3757925152307
21741.6175700332919-24.6175700332919
319.63443536226322-8.63443536226322
411454.5602952057159.43970479429
59567.880541963601427.1194580363986
6148101.46036909773946.5396309022612
75646.61266143649469.3873385635054
82658.9814526294845-32.9814526294845
96364.54970324189-1.54970324189008
109664.810576773326731.1894232266733
117443.729167777976630.2708322220234
126573.6521168506504-8.65211685065042
134035.80685269681344.19314730318658
1417358.6852449243797114.31475507562
152842.4531523143819-14.4531523143819
165541.611432922828513.3885670771715
175873.4994299521115-15.4994299521115
182520.41492541389214.58507458610788
1910372.910542843650830.0894571563492
202929.611701894173-0.611701894172959
213143.9785418587116-12.9785418587116
224371.7568923717612-28.7568923717612
237436.821215334719837.1787846652802
249937.1185524074861.88144759252
252552.9919549361896-27.9919549361896
266943.331685320662625.6683146793374
276254.8177105347897.18228946521097
282565.6599828157939-40.6599828157939
293864.3317804356442-26.3317804356442
305738.300555072957818.6994449270422
315250.09004994628141.90995005371861
329143.537763126829747.4622368731703
334832.049409078001115.9505909219989
345230.186410643826321.8135893561737
353556.971129637009-21.971129637009
3609.63443536226322-9.63443536226322
373143.3907841179062-12.3907841179062
3810746.55857038205960.441429617941
3924248.8577599781027193.142240021897
404183.7865251344556-42.7865251344556
415764.9993025163677-7.99930251636766
423247.2380075622525-15.2380075622525
431737.1764517376769-20.1764517376769
443656.441695923222-20.441695923222
452964.5580945636378-35.5580945636378
462244.2048559867051-22.2048559867051
472148.2811470905687-27.2811470905687
484148.7748965572838-7.77489655728375
496445.604431385025118.3955686149749
507148.507111145158622.4928888548414
512851.9967693518456-23.9967693518456
523640.9799496866072-4.97994968660723
534552.2821868011093-7.28218680110929
542257.1238165355479-35.1238165355479
552770.1317776156729-43.1317776156729
563837.87930799206850.120692007931454
572645.3489201938267-19.3489201938267
584139.34714827960511.65285172039494
592149.5230278475418-28.5230278475418
602841.2354608778056-13.2354608778056
613646.2881015378014-10.2881015378014
625837.61843446063220.381565539368
636533.325420017569331.6745799824307
642942.2935535351544-13.2935535351544
652131.4378821895939-10.4378821895939
661954.5035207191421-35.5035207191421
675554.55493286547180.445067134528177
6811968.897938107043850.1020618929563
693449.0741332438981-15.0741332438981
702531.195415465521-6.19541546552101
7111359.32977715175353.670222848247
724630.013767397473415.9862326025266
732864.2020833904555-36.2020833904555
746349.125899987658113.8741000123419
755257.509024771935-5.50902477193501
763529.03931745519525.96068254480477
773243.6278930257674-11.6278930257674
784548.115765798308-3.11576579830801
794241.33405672190890.665943278091089
802837.5689264521828-9.5689264521828
813254.2556961788575-22.2556961788575
823250.7215331825027-18.7215331825027
832742.8743993952712-15.8743993952712
846952.557658864148316.4423411358517
853044.755025342558-14.755025342558
864843.08541032082854.91458967917155
875769.9307075523138-12.9307075523138
883641.7203943259515-5.72039432595148
892042.3956030575888-22.3956030575888
905446.03181557637787.96818442362218
912641.4579712540645-15.4579712540645
925849.20996739955038.79003260044975
933541.5538836660354-6.55388366603539
942835.2375017633717-7.23750176337172
95830.4864266246924-22.4864266246924
969657.16831680118938.831683198811
975059.3006501879394-9.30065018793944
981519.3936508952972-4.39365089529717
996544.769623874160420.2303761258396
1003333.223370495135-0.223370495134966
101716.3033747597781-9.30337475977815
1021734.3075566107612-17.3075566107612
1035543.404607879283411.5953921207166
1043230.83171764142491.16828235857512
1052235.9925449343184-13.9925449343184
1064134.6816199938776.31838000612296
1075051.409790905292-1.40979090529198
108717.1040475640214-10.1040475640214
10909.63443536226322-9.63443536226322
1102648.8255339333883-22.8255339333883
1112233.7205736401811-11.7205736401811
1122655.7657124213595-29.7657124213595
1133757.3486512224823-20.3486512224823
1142936.9811687113774-7.98116871137743
11509.63443536226322-9.63443536226322
11609.63443536226322-9.63443536226322
1174255.8171245676893-13.8171245676893
1185148.64407014443962.3559298555604
1197747.129046159129629.8709538408704
1203244.8202612502649-12.8202612502649
1216312.840584781593850.1594152184062
1225059.0390018862776-9.03900188627764
1231836.3040558418595-18.3040558418595
1243741.5972590880476-4.59725908804765
1252327.5147026810908-4.51470268109078
1261920.261463745128-1.26146374512802
1273952.9274937987078-13.9274937987078
1283847.0062609946295-9.00626099462945
1295554.35083382060320.649166179396827
1302214.10623016214237.89376983785773
13179.63443536226322-2.63443536226322
1322129.7440778474675-8.74407784746755
133511.790533372589-6.790533372589
1342123.0628687530523-2.06286875305234
135110.4324292584006-9.43242925840064
1362213.50697749466188.49302250533817
13709.63443536226322-9.63443536226322
1383139.7683953604943-8.76839536049435
1392538.607478410486-13.607478410486
14009.63443536226322-9.63443536226322
14149.63443536226322-5.63443536226322
1422026.0468623935543-6.04686239355427
1432936.5242328593897-7.52423285938971
1443335.9419075582138-2.94190755821384


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
70.8197103968751950.3605792062496090.180289603124805
80.9055827331774420.1888345336451160.094417266822558
90.8382517197242040.3234965605515910.161748280275796
100.7861822127432090.4276355745135820.213817787256791
110.7031481013335110.5937037973329770.296851898666489
120.646113836686250.70777232662750.35388616331375
130.5505933494908920.8988133010182170.449406650509108
140.9142065922703060.1715868154593880.0857934077296942
150.9266207102403840.1467585795192330.0733792897596165
160.8952500230368630.2094999539262730.104749976963137
170.8685800953617360.2628398092765280.131419904638264
180.824636575628660.3507268487426810.17536342437134
190.843755918926160.3124881621476790.156244081073839
200.8334320555005050.333135888998990.166567944499495
210.8230218829574380.3539562340851240.176978117042562
220.8745342366801430.2509315266397140.125465763319857
230.8577086304008890.2845827391982220.142291369599111
240.9601449349980670.0797101300038660.039855065001933
250.9553441326074760.0893117347850490.0446558673925245
260.9453581384475320.1092837231049350.0546418615524676
270.9352075191781710.1295849616436580.0647924808218288
280.9545451701775090.09090965964498280.0454548298224914
290.9645604249777460.0708791500445090.0354395750222545
300.9539547959019040.09209040819619220.0460452040980961
310.9378676675436230.1242646649127540.0621323324563772
320.9739070607981790.05218587840364290.0260929392018214
330.9659963802590080.06800723948198440.0340036197409922
340.9563784798682920.08724304026341660.0436215201317083
350.9557596753003070.08848064939938640.0442403246996932
360.9487092954865450.1025814090269090.0512907045134547
370.9388503953725480.1222992092549050.0611496046274524
380.9716301247572350.05673975048553060.0283698752427653
390.9999999999996946.12810038861702e-133.06405019430851e-13
400.9999999999999441.12334536046859e-135.61672680234296e-14
410.999999999999872.59005396717537e-131.29502698358768e-13
420.9999999999998463.08244571166849e-131.54122285583425e-13
430.9999999999998283.44471981571082e-131.72235990785541e-13
440.9999999999997724.55110056019045e-132.27555028009523e-13
450.9999999999998872.26446405027554e-131.13223202513777e-13
460.999999999999882.38944809433327e-131.19472404716663e-13
470.9999999999999041.9265956656908e-139.632978328454e-14
480.9999999999997784.44709029947933e-132.22354514973967e-13
490.9999999999996846.32371810263495e-133.16185905131747e-13
500.999999999999686.38650223370183e-133.19325111685091e-13
510.999999999999666.81468607435504e-133.40734303717752e-13
520.9999999999992251.54978357452768e-127.7489178726384e-13
530.9999999999982373.52654115935765e-121.76327057967882e-12
540.9999999999990381.92416239309116e-129.6208119654558e-13
550.9999999999997375.26263656721002e-132.63131828360501e-13
560.9999999999993651.26939922870726e-126.34699614353629e-13
570.9999999999990461.90775861010983e-129.53879305054914e-13
580.9999999999978194.36245893422181e-122.1812294671109e-12
590.9999999999980123.97640253922006e-121.98820126961003e-12
600.9999999999961537.69386222672675e-123.84693111336337e-12
610.999999999991791.64225267762037e-118.21126338810186e-12
620.9999999999902381.95247074144902e-119.76235370724509e-12
630.9999999999954189.16409533340718e-124.58204766670359e-12
640.9999999999912361.75288269875744e-118.7644134937872e-12
650.9999999999820063.59877012450372e-111.79938506225186e-11
660.9999999999913131.73745480598724e-118.68727402993622e-12
670.999999999979944.01186301445115e-112.00593150722557e-11
680.9999999999994061.18805061385821e-125.94025306929107e-13
690.9999999999988542.2913077938302e-121.1456538969151e-12
700.9999999999973095.38246664468573e-122.69123332234287e-12
710.9999999999999959.49607818782027e-154.74803909391014e-15
720.9999999999999967.55066111116636e-153.77533055558318e-15
730.9999999999999984.06162694227334e-152.03081347113667e-15
740.9999999999999992.33939958398967e-151.16969979199484e-15
750.9999999999999976.33644230219858e-153.16822115109929e-15
760.9999999999999911.74341747290549e-148.71708736452745e-15
770.9999999999999784.39032322651172e-142.19516161325586e-14
780.9999999999999461.07127629120709e-135.35638145603543e-14
790.9999999999998562.87183297074307e-131.43591648537154e-13
800.999999999999657.01395554827374e-133.50697777413687e-13
810.9999999999995678.65406871178464e-134.32703435589232e-13
820.9999999999994871.02557663649323e-125.12788318246616e-13
830.9999999999990521.89566284465675e-129.47831422328373e-13
840.9999999999991341.73260167514486e-128.66300837572432e-13
850.9999999999980853.8307786706843e-121.91538933534215e-12
860.9999999999951469.7088848180304e-124.8544424090152e-12
870.9999999999876962.46081178750903e-111.23040589375452e-11
880.9999999999699376.01259637833978e-113.00629818916989e-11
890.9999999999657076.85864658402124e-113.42932329201062e-11
900.9999999999403981.19204976065e-105.96024880325e-11
910.9999999998693672.61266551516106e-101.30633275758053e-10
920.999999999810173.79661492645525e-101.89830746322763e-10
930.9999999995576178.84765511408297e-104.42382755704148e-10
940.9999999989506552.09869060862027e-091.04934530431014e-09
950.9999999987034032.59319488677954e-091.29659744338977e-09
960.999999999978984.20396229438994e-112.10198114719497e-11
970.9999999999428181.14365000820944e-105.7182500410472e-11
980.999999999854622.90758540943593e-101.45379270471796e-10
990.999999999881012.37978291399285e-101.18989145699642e-10
1000.9999999996895686.20864718597575e-103.10432359298787e-10
1010.999999999218451.56309933801383e-097.81549669006913e-10
1020.9999999983015083.39698446978591e-091.69849223489295e-09
1030.9999999974226995.15460242910988e-092.57730121455494e-09
1040.9999999934043721.31912566850295e-086.59562834251475e-09
1050.9999999874449762.51100484466273e-081.25550242233137e-08
1060.9999999703350445.93299128119553e-082.96649564059776e-08
1070.9999999408876041.18224792222059e-075.91123961110294e-08
1080.9999998697656062.60468788319896e-071.30234394159948e-07
1090.999999732230085.35539839799915e-072.67769919899958e-07
1100.9999994819173971.03616520695596e-065.18082603477979e-07
1110.9999988517140142.29657197257522e-061.14828598628761e-06
1120.999998718850882.56229823902054e-061.28114911951027e-06
1130.9999980202912953.95941740992522e-061.97970870496261e-06
1140.999995514330038.9713399410638e-064.4856699705319e-06
1150.9999909497628341.81004743317034e-059.05023716585168e-06
1160.9999823966587393.52066825223522e-051.76033412611761e-05
1170.9999633258525477.33482949056262e-053.66741474528131e-05
1180.9999262065840760.0001475868318487697.37934159243844e-05
1190.9999923249781451.53500437104386e-057.6750218552193e-06
1200.9999816160637883.67678724237007e-051.83839362118503e-05
1210.9999999999114381.77123861639059e-108.85619308195294e-11
1220.9999999995466759.06649422271242e-104.53324711135621e-10
1230.9999999995639188.72164236012617e-104.36082118006309e-10
1240.9999999976724044.65519274907878e-092.32759637453939e-09
1250.9999999881698362.36603271579509e-081.18301635789755e-08
1260.9999999472587171.0548256569933e-075.27412828496652e-08
1270.999999906527871.86944259909657e-079.34721299548284e-08
1280.9999995273559529.45288095830572e-074.72644047915286e-07
1290.9999982514509193.49709816197069e-061.74854908098535e-06
1300.9999990988870841.80222583237223e-069.01112916186114e-07
1310.9999956212843628.75743127633575e-064.37871563816788e-06
1320.999980391533263.92169334815279e-051.96084667407639e-05
1330.9998947042757680.0002105914484640020.000105295724232001
1340.9994705832034450.001058833593110540.00052941679655527
1350.9981637249970770.003672550005846020.00183627500292301
1360.9997821353999020.0004357292001959250.000217864600097963
1370.9978839326409540.004232134718092210.0021160673590461


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level990.755725190839695NOK
5% type I error level990.755725190839695NOK
10% type I error level1090.83206106870229NOK