Multiple Linear Regression - Estimated Regression Equation
FACEBOOK[t] = + 82.282919242259 + 0.431769223184462LINKEDIN[t] -0.0345547988011659NASDAQ[t] -761.520442009693INFLATION[t] + 0.134198894804541CONS.CONF[t] + 38.4397831371381FED.FUNDS.RATE[t] + 0.414752562361286M1[t] + 0.585660782608443M2[t] + 0.0982950525574734M3[t] + 0.330412872399994M4[t] + 0.158974668941033M5[t] + 0.0694178296759307M6[t] -0.18145426471401M7[t] -0.465781129463628M8[t] -0.876691418040543M9[t] -1.31408475815492M10[t] -0.831274393257356M11[t] -0.0451337480006446t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)82.28291924225913.3650716.156600
LINKEDIN0.4317692231844620.0631526.83700
NASDAQ-0.03455479880116590.005153-6.706200
INFLATION-761.520442009693141.233007-5.391900
CONS.CONF0.1341988948045410.1170431.14660.2540890.127044
FED.FUNDS.RATE38.439783137138116.0628022.39310.0184330.009216
M10.4147525623612860.9442020.43930.6613490.330674
M20.5856607826084430.9457970.61920.5370720.268536
M30.09829505255747340.9497880.10350.9177650.458882
M40.3304128723999940.9491880.34810.7284420.364221
M50.1589746689410330.9452370.16820.8667520.433376
M60.06941782967593070.9476540.07330.9417410.47087
M7-0.181454264714010.982704-0.18460.8538510.426926
M8-0.4657811294636280.979446-0.47560.6353510.317676
M9-0.8766914180405430.968226-0.90550.3672370.183618
M10-1.314084758154920.964027-1.36310.175680.08784
M11-0.8312743932573560.959037-0.86680.3879840.193992
t-0.04513374800064460.013134-3.43650.0008380.000419


Multiple Linear Regression - Regression Statistics
Multiple R0.895946244190784
R-squared0.802719672479571
Adjusted R-squared0.771666287592096
F-TEST (value)25.8496674481158
F-TEST (DF numerator)17
F-TEST (DF denominator)108
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.14072292871527
Sum Squared Residuals494.931023012948


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
127.7229.6054299940344-1.88542999403444
226.929.5012875949361-2.60128759493606
325.8629.1680254748657-3.30802547486566
426.8126.70345810504530.10654189495474
526.3127.4136445815053-1.10364458150531
627.127.6362187838419-0.536218783841898
72728.1721007254067-1.17210072540669
827.426.37958605719551.02041394280447
927.2727.6151432994732-0.345143299473246
1028.2927.71198823259070.578011767409308
1130.0128.88003067882671.12996932117334
1231.4129.86332692875281.54667307124722
1331.9129.12094248056252.78905751943752
1431.628.80825246464192.7917475353581
1531.8429.79613205300472.04386794699529
1633.0530.84344926084332.20655073915667
1732.0630.93020724183641.12979275816364
1833.131.247650206791.85234979320999
1932.2329.29289998153472.93710001846533
2031.3628.80679060948032.55320939051971
2131.0924.61199635708786.47800364291218
2230.7729.42638510603391.34361489396608
2331.229.01388713444842.18611286555165
2431.4729.66911482079771.80088517920232
2531.7331.64681119902990.0831888009700907
2632.1729.42590732028632.74409267971373
2731.4728.42109729895463.04890270104542
2830.9729.77318502952911.1968149704709
2930.8132.231058409855-1.42105840985497
3030.7231.4299695226726-0.709969522672558
3128.2430.120371927909-1.880371927909
3228.0929.2258602300983-1.1358602300983
3329.1127.59277641503541.51722358496457
342926.89627668240432.10372331759567
3528.7627.70494968721771.05505031278229
3628.7529.2006447419468-0.4506447419468
3728.4530.3707289630653-1.9207289630653
3829.3430.4534425462744-1.11344254627444
3926.8427.5970386998552-0.757038699855242
4023.726.6660895977091-2.96608959770912
4123.1527.200958541184-4.05095854118399
4221.7126.239649539498-4.52964953949801
4320.8821.2861197324805-0.406119732480474
4420.0420.3977427738315-0.357742773831483
4521.0924.4095666307091-3.31956663070908
4621.9224.4790668594612-2.55906685946116
4720.7221.5415678836518-0.821567883651799
4820.7221.7227746263454-1.00277462634539
4921.0121.9665642445208-0.956564244520756
5021.821.8817786042415-0.0817786042414891
5121.621.15375200876090.446247991239088
5220.3820.30594507211740.0740549278826204
5321.219.81026521227821.38973478772179
5419.8719.34839448753240.521605512467568
5519.0517.42615744519011.62384255480985
5620.0117.78338764415212.22661235584791
5719.1518.64263134686480.507368653135238
5819.4318.13722184109911.29277815890088
5919.4419.15011115497220.28988884502782
6019.419.23605018869060.163949811309395
6119.1519.2982042289261-0.148204228926117
6219.3420.5137118397519-1.1737118397519
6319.120.4846015691004-1.38460156910041
6419.0821.4745395035849-2.39453950358486
6518.0520.2127207970097-2.16272079700968
6617.7219.1359867436606-1.41598674366059
6718.5822.3606049580917-3.78060495809168
6818.9622.2447649120454-3.28476491204541
6918.9821.3573384634367-2.37733846343669
7018.8121.4589930197307-2.64899301973071
7119.4321.9222236115575-2.49222361155748
7220.9323.0828375427932-2.15283754279315
7320.7121.9831995730746-1.27319957307463
742223.1451432135773-1.14514321357732
7521.5222.0049553947683-0.48495539476829
7621.8722.2349552182627-0.364955218262709
7723.2921.93374206624931.35625793375067
7822.5922.53016196063050.0598380393694708
7922.8621.7374452450551.12255475494503
8020.7922.3946958134366-1.60469581343662
8120.2821.8285665167295-1.54856651672953
8220.6221.7447452433593-1.12474524335929
8320.3220.6263737782704-0.306373778270407
8421.6620.53550420456571.12449579543431
8521.9921.32382782892020.666172171079786
8622.2721.96741684758560.302583152414372
8721.8322.1664784152111-0.336478415211093
8821.9421.60688063569630.33311936430367
8920.9120.48877781129710.421222188702862
9020.420.8065520955126-0.406552095512556
9120.2220.4147535181487-0.194753518148665
9219.6420.0721699882548-0.43216998825477
9319.7520.4708877343362-0.720887734336171
9419.5118.72075648996750.789243510032472
9519.5218.65489675312620.865103246873781
9619.4818.30533923437871.17466076562133
9719.8817.42870972809982.45129027190016
9818.9718.39684859013130.573151409868662
991919.6442533329829-0.644253332982917
10019.3219.29677892003150.0232210799685173
10119.518.63583608377170.864163916228283
10223.2221.04929194003782.17070805996218
10322.5619.42601837714713.13398162285287
10421.9418.52815249146493.41184750853509
10521.1120.23894231195760.871057688042369
10621.2120.90357559000130.306424409998696
10721.1822.2372940484321-1.05729404843215
10821.2523.0222892058999-1.77228920589989
10921.1721.2234497545678-0.0534497545677839
11020.4722.6633105854028-2.19331058540284
11119.9921.4736933406714-1.48369334067137
11219.2121.0244717987258-1.81447179872576
11320.0722.2883582488983-2.21835824889834
11419.8622.9698089112403-3.10980891124032
11522.3623.7435280890366-1.38352808903657
11622.1724.5668494800406-2.39684948004061
11723.5624.6221509243696-1.06215092436963
11822.9223.0009909353519-0.0809909353519383
11923.123.948665269497-0.848665269497045
12024.3224.7521185058293-0.43211850582934
12123.9923.74213200519850.24786799480146
12225.9424.04290039317081.89709960682919
12326.1523.28997241182482.86002758817519
12426.3622.76024685845473.59975314154534
12527.3221.52443100611495.79556899388506
1262821.89631580858336.10368419141671


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
210.0732555820241880.1465111640483760.926744417975812
220.02307568004300530.04615136008601070.976924319956995
230.007756577022047220.01551315404409440.992243422977953
240.003097935336894520.006195870673789030.996902064663105
250.005766021334519260.01153204266903850.994233978665481
260.003414949437511450.006829898875022910.996585050562489
270.001735973828399360.003471947656798720.998264026171601
280.001756683478378590.003513366956757180.998243316521621
290.001444870323535520.002889740647071030.998555129676465
300.00176091678302410.00352183356604820.998239083216976
310.009625342855325970.01925068571065190.990374657144674
320.02361581844272910.04723163688545820.976384181557271
330.02099692798404460.04199385596808910.979003072015955
340.06608961602386320.1321792320477260.933910383976137
350.0933604962437570.1867209924875140.906639503756243
360.09514167103960940.1902833420792190.904858328960391
370.0961258297726610.1922516595453220.903874170227339
380.1142798249384990.2285596498769990.885720175061501
390.198792596428080.397585192856160.80120740357192
400.5731688534899540.8536622930200920.426831146510046
410.7192757693674940.5614484612650130.280724230632506
420.7678718310436730.4642563379126540.232128168956327
430.7505722952929030.4988554094141950.249427704707097
440.7622482531017670.4755034937964650.237751746898233
450.9799731767105430.04005364657891310.0200268232894565
460.9850933940301390.02981321193972280.0149066059698614
470.9833509831819420.03329803363611570.0166490168180579
480.9813860142705930.03722797145881310.0186139857294066
490.9786362516878510.04272749662429790.021363748312149
500.9835722012452510.03285559750949830.0164277987547491
510.9902585225405150.01948295491897070.00974147745948534
520.9951671061059160.009665787788168450.00483289389408423
530.9994370075443330.001125984911334870.000562992455667434
540.9993256222508220.001348755498355060.000674377749177532
550.9989437437388710.002112512522257380.00105625626112869
560.9992302480818790.001539503836242050.000769751918121025
570.9990716858113640.001856628377272970.000928314188636484
580.9991169451298540.00176610974029150.000883054870145749
590.9993131181766730.001373763646653390.000686881823326697
600.9993852082865910.00122958342681690.000614791713408449
610.9992802890738280.001439421852344870.000719710926172437
620.9992933921685410.001413215662918450.000706607831459224
630.9993078700792470.001384259841505740.000692129920752872
640.9990085166281680.001982966743663160.000991483371831582
650.9993141594287570.001371681142486060.00068584057124303
660.9997345673871870.0005308652256268140.000265432612813407
670.9997052986972990.0005894026054011340.000294701302700567
680.9997113971654770.0005772056690463210.00028860283452316
690.9995636837279770.0008726325440455890.000436316272022794
700.9993076532690670.001384693461866340.000692346730933169
710.9991946877227830.001610624554433090.000805312277216545
720.9993051727667880.001389654466423040.000694827233211522
730.9990152972236370.001969405552725230.000984702776362613
740.998441086945110.003117826109780510.00155891305489025
750.9976865646435160.004626870712967390.0023134353564837
760.9973425070722230.005314985855553610.00265749292777681
770.9988121023897530.002375795220493290.00118789761024664
780.9986060190853170.00278796182936610.00139398091468305
790.9979042893612810.004191421277437820.00209571063871891
800.9977198659372110.0045602681255790.0022801340627895
810.9969303912074410.006139217585118850.00306960879255943
820.9965542490274240.006891501945152570.00344575097257629
830.9973648867269530.00527022654609390.00263511327304695
840.9961032374907510.007793525018497610.0038967625092488
850.9995752483935860.0008495032128278260.000424751606413913
860.9999193927109740.0001612145780516558.06072890258276e-05
870.9998610562024340.0002778875951323820.000138943797566191
880.9998744960274950.0002510079450101630.000125503972505081
890.9998381204991070.0003237590017857530.000161879500892877
900.9996858970787910.0006282058424176180.000314102921208809
910.9995381011566750.000923797686651010.000461898843325505
920.9993034603465480.00139307930690380.0006965396534519
930.9989479582769310.00210408344613830.00105204172306915
940.9983659203663910.003268159267218360.00163407963360918
950.9968997382822190.006200523435562960.00310026171778148
960.9943804538890870.01123909222182570.00561954611091285
970.9909537181195140.01809256376097210.00904628188048605
980.9875338390021220.02493232199575630.0124661609978781
990.9848100481338780.03037990373224490.0151899518661224
1000.9829433241429590.03411335171408270.0170566758570414
1010.9787580316861920.04248393662761650.0212419683138082
1020.9999933014165481.33971669031156e-056.69858345155778e-06
1030.9999710939236035.78121527940155e-052.89060763970078e-05
1040.9998386246026190.0003227507947612920.000161375397380646
1050.9981830830041960.00363383399160880.0018169169958044


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level540.635294117647059NOK
5% type I error level730.858823529411765NOK
10% type I error level730.858823529411765NOK