Multiple Linear Regression - Estimated Regression Equation
APPLE[t] = -89.9803064021872 + 4.83923660683464e-07VOLUME[t] + 25.9301820373231REV.GROWTH[t] + 6.43325933193158MICROSOFT[t] + 0.0903195954538195NASDAQ[t] -939.517745569974INFLATION[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)-89.980306402187222.176341-4.05759.3e-054.7e-05
VOLUME4.83923660683464e-0701.60510.1113380.055669
REV.GROWTH25.930182037323113.526971.91690.0578420.028921
MICROSOFT6.433259331931581.5134544.25074.5e-052.2e-05
NASDAQ0.09031959545381950.0165135.469600
INFLATION-939.517745569974254.495487-3.69170.0003480.000174
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
110.8163.4800143839997-52.6700143839997
29.1211.5056540130826-2.38565401308262
311.03-34.947657787840745.9776577878407
412.7436.9901937522826-24.2501937522826
59.9821.0411918380408-11.0611918380408
611.6233.9491153925064-22.3291153925064
79.414.1112482751671-4.71124827516706
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
1511.849.435159400503132.40484059949687
1612.14-24.165844558746936.3058445587469
1711.65-33.639521328395545.2895213283955
188.86-26.073770623064934.9337706230649
197.63-42.433506950865450.0635069508654
207.38-40.810243252091448.1902432520914
217.25-62.619752912535569.8697529125355
228.031.520678785422066.50932121457794
237.7512.7687055953806-5.01870559538058
247.16-9.2436453920331916.4036453920332
257.18-20.695903441128127.8759034411281
267.513.290207258183154.21979274181685
277.0712.0783801337906-5.00838013379056
287.115.441801355231661.66819864476834
298.9811.2748084026594-2.29480840265939
309.5314.7683661434446-5.23836614344458
3110.5443.3313394064382-32.7913394064382
3211.3140.5690983092261-29.2590983092261
3310.3653.552593126796-43.192593126796
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
4012.8933.0876916181362-20.1976916181363
4114.0329.2587301418427-15.2287301418427
4216.2728.3678374591684-12.0978374591684
4316.1713.3334038344772.83659616552300
4417.2518.3298860569358-1.07988605693577
4519.3830.4221067355482-11.0421067355482
4626.257.2402589849445-31.0402589849445
4733.5376.9824084082835-43.4524084082835
4832.263.9848012919705-31.7848012919705
4938.4559.1329257978746-20.6829257978746
5044.8649.5359912730844-4.67599127308444
5141.6732.32902804489339.34097195510665
5236.0644.9666776093238-8.9066776093238
5339.7651.7828038305373-12.0228038305373
5436.8140.0092481477978-3.19924814779779
5542.6550.3321754750179-7.68217547501787
5646.8948.2428363319817-1.35283633198170
5753.6166.8130248777108-13.2030248777108
5857.5979.0867975329776-21.4967975329776
5967.8279.7618761867402-11.9418761867402
6071.8957.687713820982814.2022861790172
6175.5167.93574740271657.5742525972835
6268.4968.8500772439184-0.360077243918460
6362.7268.8917828512036-6.17178285120356
6470.3941.373117593575629.0168824064244
6559.7718.367820554353841.4021794456462
6657.2719.670514958712437.5994850412877
6767.9619.082842020586348.8771579794137
6867.8551.987782769153815.8622172308462
6976.9875.79049204498151.18950795501854
7081.0896.332104612129-15.2521046121290
7191.66100.464309674999-8.80430967499928
7284.8490.9583600751939-6.1183600751939
7385.73113.248966120043-27.5189661200432
7484.6177.42667451105077.18332548894932
7592.9178.21230779203614.6976922079639
7699.8106.377959999548-6.57795999954761
77121.19115.7395788752155.4504211247846
78122.04119.9262182424452.11378175755472
79131.76105.7206299021926.0393700978099
80138.48122.90152479081515.5784752091854
81153.47141.87046972220811.5995302777922
82189.95202.450532300888-12.5005323008877
83182.22177.4161354478144.80386455218602
84198.08178.30700770289219.7729922971080
85135.36155.673040274325-20.313040274325
86125.02130.099143705891-5.0791437058914
87143.5156.717388194759-13.2173881947587
88173.95171.4031148832232.54688511677712
89188.75185.3806401713933.36935982860719
90167.44165.7596799965081.68032000349189
91158.95158.8745604347920.0754395652082259
92169.53157.44504976235212.084950237648
93113.66137.184993901735-23.5249939017346
94107.59128.423202074344-20.8332020743435
9592.67101.475730679276-8.80573067927573
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
103163.39173.790429882175-10.400429882175
104168.21162.9251459355865.28485406441427
105185.35181.8905273428723.45947265712803
106188.5195.029606453597-6.52960645359694
107199.91189.6729008287610.2370991712401
108210.73195.1491172137115.5808827862898
109192.06174.9035668783317.15643312167
110204.62206.550677419071-1.93067741907121
111235211.05932445950623.9406755404943
112261.09219.33275843492641.7572415650737
113256.88169.69464753856287.1853524614381
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
122.7608845498729e-075.5217690997458e-070.999999723911545
131.14486101669957e-082.28972203339914e-080.99999998855139
144.1332024266942e-108.2664048533884e-100.99999999958668
151.67260927222012e-113.34521854444025e-110.999999999983274
161.79886977839267e-123.59773955678533e-120.999999999998201
176.65433771979012e-141.33086754395802e-130.999999999999933
184.50794069982026e-149.01588139964053e-140.999999999999955
193.99647490794641e-157.99294981589282e-150.999999999999996
202.3692854048491e-164.7385708096982e-161
212.20091861630273e-174.40183723260546e-171
221.34868451530871e-182.69736903061742e-181
235.74435555674206e-201.14887111134841e-191
243.10886208461645e-216.21772416923291e-211
252.95582226390485e-225.91164452780969e-221
264.59614843187513e-239.19229686375025e-231
272.85599311165215e-245.7119862233043e-241
282.53858941345153e-255.07717882690307e-251
291.57739409768045e-263.1547881953609e-261
301.10673737853706e-272.21347475707412e-271
318.22608419017279e-291.64521683803456e-281
327.3511586312905e-301.4702317262581e-291
333.56766113091459e-317.13532226182918e-311
342.94491678632274e-325.88983357264548e-321
351.77175867662493e-333.54351735324985e-331
361.18515599584400e-342.37031199168801e-341
377.21853373605413e-361.44370674721083e-351
387.00264021918056e-371.40052804383611e-361
397.00060265889824e-371.40012053177965e-361
402.84106504476174e-375.68213008952347e-371
415.74872660567845e-371.14974532113569e-361
421.65168076224995e-363.30336152449991e-361
433.74809572961915e-377.4961914592383e-371
444.3380445852871e-378.6760891705742e-371
455.1123918592687e-361.02247837185374e-351
465.50004239488663e-361.10000847897733e-351
476.75022643355456e-341.35004528671091e-331
481.44401768367416e-332.88803536734832e-331
492.09299480306529e-344.18598960613058e-341
504.1916353555513e-328.3832707111026e-321
512.21146628356118e-294.42293256712236e-291
522.71893474635206e-305.43786949270413e-301
533.71206590595793e-297.42413181191585e-291
545.61632809586143e-291.12326561917229e-281
554.07390895484559e-268.14781790969118e-261
569.3192703597397e-241.86385407194794e-231
574.51982954021838e-219.03965908043676e-211
584.13006081836421e-198.26012163672842e-191
591.09322897985720e-142.18645795971441e-140.99999999999999
608.90094371179624e-121.78018874235925e-110.9999999999911
615.71949717688743e-101.14389943537749e-090.99999999942805
623.29092525803128e-096.58185051606256e-090.999999996709075
636.24079734958984e-091.24815946991797e-080.999999993759203
641.67824884304041e-083.35649768608082e-080.999999983217512
652.44914226624289e-084.89828453248578e-080.999999975508577
662.98173036990025e-085.9634607398005e-080.999999970182696
672.34438292819055e-074.68876585638109e-070.999999765561707
686.60040604164e-071.320081208328e-060.999999339959396
697.59642382415398e-061.51928476483080e-050.999992403576176
700.0001896613466926200.0003793226933852390.999810338653307
710.001271525844737960.002543051689475910.998728474155262
720.001509376533218200.003018753066436390.998490623466782
730.001153118175427320.002306236350854640.998846881824573
740.001672620640540020.003345241281080040.99832737935946
750.003831855485318160.007663710970636330.996168144514682
760.006801523842268740.01360304768453750.993198476157731
770.01375957962613770.02751915925227540.986240420373862
780.01386748675080.02773497350160.9861325132492
790.01679016422700310.03358032845400620.983209835772997
800.02145306137494790.04290612274989570.978546938625052
810.02997879226857120.05995758453714240.970021207731429
820.08639283587711580.1727856717542320.913607164122884
830.08922786975727930.1784557395145590.91077213024272
840.1338436474849620.2676872949699230.866156352515038
850.1609389485138270.3218778970276540.839061051486173
860.1657530395576860.3315060791153720.834246960442314
870.1988508443746920.3977016887493850.801149155625308
880.1920324982037890.3840649964075780.807967501796211
890.2035917155541570.4071834311083140.796408284445843
900.1704389272888020.3408778545776050.829561072711198
910.2172448169874870.4344896339749750.782755183012513
920.4063036227061890.8126072454123780.593696377293811
930.994739985216440.01052002956712130.00526001478356067
940.992947914297260.01410417140547830.00705208570273913
950.987693096317140.02461380736571890.0123069036828594
960.9892581057525220.02148378849495610.0107418942474781
970.982293187707670.03541362458466020.0177068122923301
980.9740345978543740.05193080429125230.0259654021456261
990.970323856375260.05935228724947930.0296761436247396
1000.9587634192459230.08247316150815320.0412365807540766
1010.9807247334348980.0385505331302050.0192752665651025
1020.9865579935215580.02688401295688450.0134420064784423
1030.9751012074208880.04979758515822370.0248987925791119
1040.9628983191280950.07420336174380920.0371016808719046
1050.9789847727088790.04203045458224230.0210152272911212
1060.994551980295910.01089603940817990.00544801970408997
1070.9879318745955310.02413625080893740.0120681254044687


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