Multiple Linear Regression - Estimated Regression Equation
FACEBOOK[t] = + 110.317328010726 -5.29796186625743e-09VOLUME[t] + 0.529574074143094LINKEDIN[t] -0.0422051117111733NASDAQ[t] -715.090964814529INFLATION[t] -0.191049313170624CONS.CONF[t] + 57.0463126358806FED.FUNDS.RATE[t] + 0.496712339624463M1[t] + 0.617083335648218M2[t] + 0.0583013002444314M3[t] + 0.417080547551598M4[t] + 0.160868652950662M5[t] + 0.285573118946714M6[t] -0.0014167468113675M7[t] -0.434289053597319M8[t] -0.936679221719422M9[t] -1.4897352646202M10[t] -0.946967387637012M11[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)110.31732801072611.002910.026200
VOLUME-5.29796186625743e-090-0.87370.3842280.192114
LINKEDIN0.5295740741430940.058629.03400
NASDAQ-0.04220511171117330.004851-8.70100
INFLATION-715.090964814529147.639234-4.84354e-062e-06
CONS.CONF-0.1910493131706240.06784-2.81620.0057790.002889
FED.FUNDS.RATE57.046312635880615.8066473.6090.0004670.000234
M10.4967123396244630.9929670.50020.6179310.308965
M20.6170833356482180.9927510.62160.5355220.267761
M30.05830130024443140.9975730.05840.9535040.476752
M40.4170805475515980.9964480.41860.6763640.338182
M50.1608686529506620.9924060.16210.871530.435765
M60.2855731189467141.0093880.28290.7777820.388891
M7-0.00141674681136751.042858-0.00140.9989190.499459
M8-0.4342890535973191.028114-0.42240.6735630.336782
M9-0.9366792217194221.016687-0.92130.3589450.179472
M10-1.48973526462021.012796-1.47090.1442220.072111
M11-0.9469673876370121.009266-0.93830.3501970.175099


Multiple Linear Regression - Regression Statistics
Multiple R0.884693869679452
R-squared0.782683243048404
Adjusted R-squared0.748475975750467
F-TEST (value)22.8806129478697
F-TEST (DF numerator)17
F-TEST (DF denominator)108
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.24680394762341
Sum Squared Residuals545.197821738064


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
127.7228.8031745216087-1.0831745216087
226.928.7778957383713-1.8778957383713
325.8628.4287384147402-2.5687384147402
426.8125.34715775777551.46284224222447
526.3126.412204738805-0.102204738805046
627.127.1972611034376-0.0972611034376203
72727.7926936228178-0.79269362281779
827.425.5379228270711.86207717292901
927.2727.19808697172980.0719130282701972
1028.2927.36023587916850.929764120831449
1130.0128.7629009480271.24709905197303
1231.4129.8596451022381.55035489776196
1331.9129.06283163912852.84716836087152
1431.628.62748523677012.9725147632299
1531.8429.98649312872191.85350687127807
1633.0531.13311267285041.91688732714964
1732.0631.49907781593260.560922184067391
1833.132.08010049462171.0198995053783
1932.2329.64343667347322.58656332652681
2031.3629.07157795483742.28842204516265
2131.0923.39493545262317.69506454737686
2230.7728.88483163951181.88516836048818
2331.228.31856795790512.88143204209486
2431.4729.09829020485012.3717097951499
2531.7331.5556212908540.174378709145987
2632.1728.76066536959243.40933463040757
2731.4727.63600711293463.83399288706544
2830.9729.42784127905661.54215872094338
2930.8132.5560242931394-1.74602429313945
3030.7231.98679052881-1.26679052881002
3128.2430.2684398206477-2.02843982064765
3228.0929.0147991667483-0.924799166748252
3329.1127.0475865877162.06241341228395
342925.9558585387393.04414146126102
3528.7626.95609783388821.80390216611177
3628.7528.863311114622-0.113311114621973
3728.4530.4406086872232-1.99060868722317
3829.3430.478866334416-1.13886633441603
3926.8426.74319919959730.0968008004027293
4023.725.4138073117127-1.71380731171269
4123.1526.57380910417-3.42380910417
4221.7125.442844267331-3.73284426733102
4320.8821.6710123234214-0.791012323421387
4420.0420.4883793292217-0.448379329221684
4521.0925.3471494540006-4.25714945400056
4621.9225.7552859529671-3.83528595296709
4720.7222.0164346530825-1.29643465308248
4820.7222.2586864498303-1.53868644983028
4921.0122.6760624155855-1.66606241558551
5021.822.4850164477953-0.685016447795306
5121.621.6909995061317-0.0909995061317235
5220.3820.7050802854053-0.325080285405276
5321.220.06285778191351.13714221808653
5419.8719.21168039714720.65831960285282
5519.0517.08163403576141.9683659642386
5620.0117.64054490202642.36945509797364
5719.1518.91051159074670.239488409253275
5819.4318.44021322260670.989786777393278
5919.4419.7751395030628-0.335139503062833
6019.419.8829297527112-0.482929752711182
6119.1520.0504189195931-0.900418919593117
6219.3421.4829590271889-2.14295902718892
6319.121.591751127392-2.491751127392
6419.0822.9517880700121-3.87178807001207
6518.0521.169239373462-3.11923937346204
6617.7217.7607815200774-0.0407815200773515
6718.5821.9121490260412-3.33214902604117
6818.9621.8305737935665-2.8705737935665
6918.9820.7516069545223-1.77160695452225
7018.8120.9706408527037-2.16064085270366
7119.4321.4251569689556-1.99515696895562
7220.9322.4408077092004-1.51080770920041
7320.7121.4421472465046-0.732147246504564
742222.8959909847409-0.895990984740864
7521.5221.7080900883637-0.188090088363669
7621.8722.1931017347724-0.323101734772358
7723.2921.51332893980061.77667106019941
7822.5922.7459985291156-0.155998529115623
7922.8621.78303321554911.07696678445093
8020.7922.5086665002008-1.71866650020081
8120.2821.9384075439583-1.65840754395825
8220.6222.0112648740713-1.39126487407134
8320.3220.498306794838-0.178306794837998
8421.6619.68373435564321.97626564435684
8521.9920.73915660499031.25084339500965
8622.2721.71092104378430.559078956215745
8721.8322.037989934914-0.207989934913971
8821.9421.30720330889890.632796691101102
8920.9119.97503033660970.934969663390306
9020.420.6944100326118-0.29441003261182
9120.2220.4073699540117-0.187369954011728
9219.6419.8916515875481-0.251651587548112
9319.7520.529826665949-0.779826665949009
9419.5118.43729947673541.0727005232646
9519.5218.35854824798271.16145175201727
9619.4817.910306811721.56969318828004
9719.8816.66236277538083.21763722461922
9818.9717.76778528399281.20221471600721
991919.5707790162542-0.570779016254242
10019.3219.19029624531870.129703754681291
10119.518.17238191736251.3276180826375
10223.2220.79194725769112.42805274230892
10322.5619.58578416456242.97421583543757
10421.9418.80600564699883.13399435300118
10521.1120.68419800504170.425801994958305
10621.2120.89781266545170.312187334548324
10721.1822.4302974840284-1.25029748402836
10821.2523.5126892942705-2.26268929427053
10921.1721.267342598223-0.0973425982230165
11020.4722.9633525622289-2.49335256222885
11119.9921.5872214965525-1.59722149655246
11219.2121.1241427596646-1.9141427596646
11320.0722.5513846562342-2.48138465623421
11419.8623.6506942381306-3.79069423813057
11522.3623.8344471637142-1.47444716371418
11622.1725.6098782917811-3.43987829178111
11723.5625.5876907737125-2.02769077371251
11822.9223.7665568980448-0.846556898044766
11923.125.1385496082296-2.03854960822963
12024.3225.8795992049144-1.55959920491437
12123.9925.0102733009083-1.02027330090829
12225.9424.84906197111921.09093802888085
12326.1524.2187309743981.93126902560204
12426.3623.89646857453292.46353142546711
12527.3222.18466104257045.13533895742962
1262822.7274916310265.27250836897399


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
210.06454142212870390.1290828442574080.935458577871296
220.01961170794169610.03922341588339220.980388292058304
230.01172159928775390.02344319857550780.988278400712246
240.003675698761181790.007351397522363570.996324301238818
250.00552435546330960.01104871092661920.99447564453669
260.02797476627974280.05594953255948550.972025233720257
270.08432491796021820.1686498359204360.915675082039782
280.06199265686834160.1239853137366830.938007343131658
290.04478364034094810.08956728068189620.955216359659052
300.02953959118504450.0590791823700890.970460408814956
310.03197611835141840.06395223670283690.968023881648582
320.03231489221696070.06462978443392140.967685107783039
330.02873689093255330.05747378186510660.971263109067447
340.04499400513504980.08998801027009960.95500599486495
350.06134869663105290.1226973932621060.938651303368947
360.06332523135482810.1266504627096560.936674768645172
370.07014452875522890.1402890575104580.929855471244771
380.07886140924389670.1577228184877930.921138590756103
390.07206920647229610.1441384129445920.927930793527704
400.07680188089336970.1536037617867390.92319811910663
410.2578889990774110.5157779981548220.742111000922589
420.2520989569146430.5041979138292850.747901043085357
430.2112656833582050.4225313667164090.788734316641795
440.174293007333290.348586014666580.82570699266671
450.2868690787368890.5737381574737780.713130921263111
460.5054782119671280.9890435760657440.494521788032872
470.5000530882365440.9998938235269130.499946911763456
480.4784312687084410.9568625374168830.521568731291559
490.4668881283224140.9337762566448280.533111871677586
500.4460337700724520.8920675401449040.553966229927548
510.4337014182005620.8674028364011250.566298581799438
520.3961184252342360.7922368504684730.603881574765764
530.5257730278711280.9484539442577450.474226972128872
540.7026974827204230.5946050345591550.297302517279577
550.659067473270070.681865053459860.34093252672993
560.6111541105736330.7776917788527340.388845889426367
570.5756932358713050.848613528257390.424306764128695
580.5422068390429360.9155863219141280.457793160957064
590.5397011248431140.9205977503137720.460298875156886
600.5528739124504990.8942521750990020.447126087549501
610.5614877692300370.8770244615399270.438512230769963
620.6443300309651970.7113399380696060.355669969034803
630.7360702964389890.5278594071220220.263929703561011
640.8010340219104590.3979319561790810.198965978089541
650.8950676458248740.2098647083502530.104932354175127
660.9979934146210730.004013170757853450.00200658537892672
670.9978078242427250.004384351514549510.00219217575727475
680.997708917486540.004582165026920920.00229108251346046
690.9968564682349510.006287063530097050.00314353176504853
700.9951656362038920.009668727592215960.00483436379610798
710.9925868270365560.01482634592688890.00741317296344447
720.9896430918084870.02071381638302560.0103569081915128
730.98638667378750.02722665242500090.0136133262125005
740.9806426734138460.03871465317230880.0193573265861544
750.9736487501976010.05270249960479760.0263512498023988
760.9639769975026240.07204600499475180.0360230024973759
770.9647458745879350.07050825082412980.0352541254120649
780.9528882738931180.09422345221376320.0471117261068816
790.9429073484900210.1141853030199580.0570926515099792
800.9479900415487290.1040199169025430.0520099584512713
810.9372128493347210.1255743013305570.0627871506652786
820.9133061402659020.1733877194681960.0866938597340982
830.8926816609417140.2146366781165710.107318339058286
840.866639987850530.2667200242989410.13336001214947
850.8395765015962410.3208469968075170.160423498403759
860.7982715856395510.4034568287208980.201728414360449
870.7731509247484420.4536981505031160.226849075251558
880.7755074263484510.4489851473030980.224492573651549
890.8104273798868320.3791452402263350.189572620113168
900.8312676554919130.3374646890161740.168732344508087
910.84112484963150.3177503007370.1588751503685
920.9456477496629330.1087045006741340.0543522503370669
930.9849333224955580.0301333550088850.0150666775044425
940.974297709940570.05140458011885940.0257022900594297
950.9569538824761540.08609223504769240.0430461175238462
960.9310452072230.1379095855539990.0689547927769997
970.9008645006688950.198270998662210.0991354993311051
980.8727973819653120.2544052360693770.127202618034688
990.8714494704273280.2571010591453440.128550529572672
1000.9340325216498480.1319349567003040.0659674783501521
1010.9703582428474480.0592835143051030.0296417571525515
1020.9539071990574130.09218560188517420.0460928009425871
1030.9047957795091670.1904084409816670.0952042204908334
1040.8206878758501530.3586242482996940.179312124149847
1050.6728110363700080.6543779272599830.327188963629992


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level60.0705882352941176NOK
5% type I error level140.164705882352941NOK
10% type I error level290.341176470588235NOK