Multiple Linear Regression - Estimated Regression Equation
APPLE[t] = -89.980306402187 + 4.83923660683464e-07VOLUME[t] + 25.9301820373231REV.GROWTH[t] + 6.43325933193156MICROSOFT[t] + 0.0903195954538196NASDAQ[t] -939.517745569975INFLATION[t] -1.93823831639427CONS.CONF[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-89.98030640218722.176341-4.05759.3e-054.7e-05
VOLUME4.83923660683464e-0701.60510.1113380.055669
REV.GROWTH25.930182037323113.526971.91690.0578420.028921
MICROSOFT6.433259331931561.5134544.25074.5e-052.2e-05
NASDAQ0.09031959545381960.0165135.469600
INFLATION-939.517745569975254.495487-3.69170.0003480.000174
CONS.CONF-1.938238316394270.146652-13.216600


Multiple Linear Regression - Regression Statistics
Multiple R0.913237166920447
R-squared0.834002123044885
Adjusted R-squared0.824947693392788
F-TEST (value)92.1098462399246
F-TEST (DF numerator)6
F-TEST (DF denominator)110
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation31.7878356811424
Sum Squared Residuals111151.314702044


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
110.8163.4800143839998-52.6700143839998
29.1211.5056540130827-2.38565401308266
311.03-34.947657787840745.9776577878407
412.7436.9901937522829-24.2501937522829
59.9821.0411918380409-11.0611918380409
611.6233.9491153925063-22.3291153925063
79.414.1112482751667-4.71124827516666
89.27-28.299585013183237.5695850131832
97.76-34.727974231623942.4879742316239
108.7842.4502712921912-33.6702712921912
1110.6581.5249933036784-70.8749933036784
1210.9572.4640212605682-61.5140212605682
1312.3657.0954918872676-44.7354918872676
1410.8530.5488501055335-19.6988501055335
1511.849.435159400503142.40484059949686
1612.14-24.165844558746936.3058445587469
1711.65-33.639521328395545.2895213283955
188.86-26.073770623065034.9337706230650
197.63-42.433506950865450.0635069508654
207.38-40.810243252091548.1902432520915
217.25-62.619752912535569.8697529125355
228.031.520678785422046.50932121457796
237.7512.7687055953806-5.01870559538057
247.16-9.2436453920332116.4036453920332
257.18-20.695903441128227.8759034411282
267.513.290207258183114.21979274181689
277.0712.0783801337905-5.00838013379053
287.115.441801355231651.66819864476835
298.9811.2748084026594-2.29480840265939
309.5314.7683661434446-5.23836614344457
3110.5443.3313394064382-32.7913394064382
3211.3140.5690983092261-29.2590983092261
3310.3653.552593126796-43.1925931267960
3411.4457.7479522065992-46.3079522065992
3510.4538.7731323125545-28.3231323125545
3610.6951.6322218871421-40.9422218871421
3711.2850.0132250120638-38.7332250120638
3811.9656.3373762179714-44.3773762179714
3913.5248.4795103016563-34.9595103016563
4012.8933.0876916181363-20.1976916181363
4114.0329.2587301418427-15.2287301418427
4216.2728.3678374591685-12.0978374591685
4316.1713.3334038344772.83659616552300
4417.2518.3298860569358-1.07988605693577
4519.3830.4221067355482-11.0421067355482
4626.257.2402589849444-31.0402589849445
4733.5376.9824084082835-43.4524084082835
4832.263.9848012919705-31.7848012919705
4938.4559.1329257978746-20.6829257978746
5044.8649.5359912730844-4.67599127308441
5141.6732.32902804489339.34097195510665
5236.0644.9666776093238-8.90667760932377
5339.7651.7828038305373-12.0228038305373
5436.8140.0092481477978-3.1992481477978
5542.6550.3321754750179-7.68217547501791
5646.8948.2428363319817-1.35283633198171
5753.6166.8130248777108-13.2030248777108
5857.5979.0867975329776-21.4967975329776
5967.8279.7618761867402-11.9418761867402
6071.8957.687713820982814.2022861790172
6175.5167.93574740271657.57425259728351
6268.4968.8500772439185-0.360077243918469
6362.7268.8917828512036-6.1717828512036
6470.3941.373117593575629.0168824064244
6559.7718.367820554353941.4021794456461
6657.2719.670514958712437.5994850412876
6767.9619.082842020586348.8771579794137
6867.8551.987782769153815.8622172308462
6976.9875.79049204498151.18950795501854
7081.0896.332104612129-15.252104612129
7191.66100.464309674999-8.80430967499932
7284.8490.958360075194-6.11836007519393
7385.73113.248966120043-27.5189661200432
7484.6177.42667451105077.1833254889493
7592.9178.212307792036114.6976922079639
7699.8106.377959999548-6.57795999954765
77121.19115.7395788752155.45042112478458
78122.04119.9262182424452.11378175755469
79131.76105.7206299021926.0393700978099
80138.48122.90152479081515.5784752091853
81153.47141.87046972220811.5995302777921
82189.95202.450532300888-12.5005323008877
83182.22177.4161354478144.80386455218604
84198.08178.30700770289219.7729922971080
85135.36155.673040274325-20.3130402743250
86125.02130.099143705891-5.07914370589138
87143.5156.717388194759-13.2173881947587
88173.95171.4031148832232.54688511677712
89188.75185.3806401713933.36935982860716
90167.44165.7596799965081.68032000349192
91158.95158.8745604347920.0754395652082485
92169.53157.44504976235212.0849502376480
93113.66137.184993901735-23.5249939017346
94107.59128.423202074343-20.8332020743435
9592.67101.475730679276-8.80573067927569
9685.35116.479146965348-31.1291469653484
9790.13160.438728724576-70.3087287245765
9889.31100.118072676435-10.8080726764352
99105.12129.532018657467-24.4120186574667
100125.83136.166858248656-10.3368582486562
101135.81122.44384935945213.3661506405480
102142.43159.677592460384-17.2475924603841
103163.39173.790429882175-10.4004298821750
104168.21162.9251459355865.28485406441429
105185.35181.8905273428723.45947265712799
106188.5195.029606453597-6.52960645359697
107199.91189.6729008287610.2370991712401
108210.73195.14911721371015.5808827862898
109192.06174.9035668783317.1564331216701
110204.62206.550677419071-1.93067741907123
111235211.05932445950623.9406755404943
112261.09219.33275843492641.7572415650737
113256.88169.69464753856287.185352461438
114251.53161.30654155716990.2234584428309
115257.25197.87073382366559.3792661763347
116243.1162.26286356859880.8371364314019
117283.75203.20897095578880.5410290442125


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
107.05349581737511e-050.0001410699163475020.999929465041826
116.63995828475428e-061.32799165695086e-050.999993360041715
122.76088454987290e-075.52176909974579e-070.999999723911545
131.14486101669958e-082.28972203339916e-080.99999998855139
144.13320242669417e-108.26640485338834e-100.99999999958668
151.6726092722201e-113.3452185444402e-110.999999999983274
161.79886977839267e-123.59773955678535e-120.999999999998201
176.65433771979008e-141.33086754395802e-130.999999999999933
184.50794069982022e-149.01588139964043e-140.999999999999955
193.99647490794641e-157.99294981589282e-150.999999999999996
202.36928540484906e-164.73857080969813e-161
212.20091861630273e-174.40183723260546e-171
221.34868451530872e-182.69736903061743e-181
235.74435555674214e-201.14887111134843e-191
243.10886208461637e-216.21772416923273e-211
252.95582226390476e-225.91164452780952e-221
264.59614843187513e-239.19229686375025e-231
272.85599311165209e-245.71198622330418e-241
282.53858941345153e-255.07717882690307e-251
291.57739409768047e-263.15478819536094e-261
301.10673737853708e-272.21347475707415e-271
318.22608419017279e-291.64521683803456e-281
327.3511586312905e-301.4702317262581e-291
333.56766113091449e-317.13532226182898e-311
342.94491678632262e-325.88983357264523e-321
351.771758676625e-333.54351735325e-331
361.18515599584402e-342.37031199168804e-341
377.2185337360531e-361.44370674721062e-351
387.00264021917986e-371.40052804383597e-361
397.00060265889873e-371.40012053177975e-361
402.84106504476170e-375.68213008952339e-371
415.74872660567821e-371.14974532113564e-361
421.65168076224988e-363.30336152449977e-361
433.74809572961926e-377.49619145923852e-371
444.33804458528691e-378.67608917057383e-371
455.1123918592687e-361.02247837185374e-351
465.50004239488702e-361.10000847897740e-351
476.75022643355475e-341.35004528671095e-331
481.44401768367416e-332.88803536734832e-331
492.09299480306535e-344.18598960613069e-341
504.19163535555154e-328.38327071110308e-321
512.21146628356117e-294.42293256712233e-291
522.71893474635203e-305.43786949270405e-301
533.7120659059579e-297.4241318119158e-291
545.61632809586159e-291.12326561917232e-281
554.0739089548457e-268.1478179096914e-261
569.31927035973957e-241.86385407194791e-231
574.51982954021832e-219.03965908043663e-211
584.13006081836404e-198.26012163672809e-191
591.09322897985720e-142.18645795971441e-140.99999999999999
608.90094371179643e-121.78018874235929e-110.999999999991099
615.71949717688745e-101.14389943537749e-090.99999999942805
623.29092525803138e-096.58185051606276e-090.999999996709075
636.2407973495898e-091.24815946991796e-080.999999993759203
641.67824884304046e-083.35649768608092e-080.999999983217511
652.44914226624294e-084.89828453248588e-080.999999975508577
662.98173036990034e-085.96346073980068e-080.999999970182696
672.34438292819046e-074.68876585638091e-070.999999765561707
686.60040604163995e-071.32008120832799e-060.999999339959396
697.59642382415393e-061.51928476483079e-050.999992403576176
700.0001896613466926160.0003793226933852330.999810338653307
710.001271525844737960.002543051689475920.998728474155262
720.001509376533218180.003018753066436370.998490623466782
730.001153118175427320.002306236350854640.998846881824573
740.001672620640540030.003345241281080050.99832737935946
750.003831855485318180.007663710970636360.996168144514682
760.006801523842268750.01360304768453750.99319847615773
770.01375957962613740.02751915925227480.986240420373863
780.01386748675080010.02773497350160010.9861325132492
790.01679016422700280.03358032845400550.983209835772997
800.02145306137494760.04290612274989520.978546938625052
810.02997879226857230.05995758453714460.970021207731428
820.08639283587711640.1727856717542330.913607164122884
830.08922786975727930.1784557395145590.91077213024272
840.1338436474849630.2676872949699260.866156352515037
850.1609389485138260.3218778970276520.839061051486174
860.1657530395576850.3315060791153710.834246960442315
870.1988508443746930.3977016887493850.801149155625307
880.1920324982037920.3840649964075840.807967501796208
890.2035917155541570.4071834311083140.796408284445843
900.1704389272888030.3408778545776070.829561072711197
910.2172448169874850.4344896339749690.782755183012515
920.4063036227061890.8126072454123780.593696377293811
930.994739985216440.01052002956712140.0052600147835607
940.992947914297260.01410417140547860.0070520857027393
950.987693096317140.02461380736571920.0123069036828596
960.9892581057525220.02148378849495650.0107418942474783
970.982293187707670.03541362458465970.0177068122923299
980.9740345978543740.05193080429125240.0259654021456262
990.970323856375260.05935228724948010.0296761436247400
1000.9587634192459230.08247316150815360.0412365807540768
1010.9807247334348980.03855053313020360.0192752665651018
1020.9865579935215580.02688401295688450.0134420064784422
1030.9751012074208880.04979758515822330.0248987925791117
1040.9628983191280950.07420336174380920.0371016808719046
1050.9789847727088790.04203045458224200.0210152272911210
1060.994551980295910.01089603940818030.00544801970409015
1070.9879318745955320.02413625080893680.0120681254044684


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level660.673469387755102NOK
5% type I error level820.836734693877551NOK
10% type I error level870.887755102040816NOK