Multiple Linear Regression - Estimated Regression Equation
APPLE[t] = -127.447605621375 -31.2727304377682REV.GROWTH[t] + 63.5049184403004IPHONE[t] + 105.207064497490IPAD[t] -3.07859516993699e-07VOLUME[t] + 6.18588427968051MICROSOFT[t] -0.254623501864903CONS.CONF[t] + 1.43045995687761t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-127.44760562137511.410672-11.169200
REV.GROWTH-31.27273043776826.348574-4.92593e-062e-06
IPHONE63.504918440300412.184115.21211e-060
IPAD105.20706449749012.2854268.563600
VOLUME-3.07859516993699e-070-2.05780.0419910.020995
MICROSOFT6.185884279680510.5943110.408500
CONS.CONF-0.2546235018649030.101085-2.51890.0132230.006611
t1.430459956877610.08553916.722900


Multiple Linear Regression - Regression Statistics
Multiple R0.982398930477056
R-squared0.965107658602464
Adjusted R-squared0.96286686603565
F-TEST (value)430.699241373587
F-TEST (DF numerator)7
F-TEST (DF denominator)109
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation14.6405651902178
Sum Squared Residuals23363.730250703


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
110.81-3.5289079970994514.3389079970995
29.12-2.3758786815968311.4958786815968
311.03-14.783828483671325.8138284836713
412.7417.6437538075877-4.9037538075877
59.9823.5361700648615-13.5561700648615
611.6233.4029313768821-21.7829313768821
79.419.2480998684049-9.8480998684049
89.270.7227204589973818.54727954100262
97.76-9.8215460181807417.5815460181807
108.78-6.0193826111220314.7993826111220
1110.6511.3114112451014-0.661411245101382
1210.9515.6321331960253-4.68213319602528
1312.3617.9465498433878-5.5865498433878
1410.856.69415987701694.1558401229831
1511.8410.83018901392261.00981098607745
1612.14-5.1528307086881617.2928307086882
1711.65-7.3400799561542618.9900799561543
188.862.745197278352776.11480272164722
197.63-10.300875890313317.9308758903133
207.38-3.8689508090908211.2489508090908
217.25-15.841061465127323.0910614651273
228.0310.6875903640670-2.65759036406703
237.7521.8926442087696-14.1426442087696
247.169.7012945910789-2.54129459107890
257.182.856354823965774.32364517603423
267.518.94928716407582-1.43928716407582
277.0714.0319077973756-6.9619077973756
287.1112.1886840265273-5.0786840265273
298.986.64379617133212.3362038286679
309.5315.7779379773051-6.24793797730507
3110.5419.8397332947637-9.2997332947637
3211.3120.9957139825741-9.68571398257413
3310.3629.4382477747903-19.0782477747903
3411.4416.2156299359501-4.7756299359501
3510.4513.2784400100617-2.82844001006168
3610.6923.3112816912528-12.6212816912528
3711.2825.4657791781929-14.1857791781930
3811.9624.6191535860914-12.6591535860914
3913.5215.4448586505344-1.92485865053439
4012.8922.2606125802211-9.37061258022111
4114.0326.0841719071735-12.0541719071735
4216.2735.1675202936904-18.8975202936904
4316.1732.7013162963232-16.5313162963232
4417.2531.4207303475529-14.1707303475529
4519.3835.0443972499164-15.6643972499164
4626.222.88488604548953.31511395451047
4733.5333.16122444479350.368775555206526
4832.233.0845786737927-0.884578673792687
4938.4525.764397100129112.6856028998709
5044.8623.826394133056821.0336058669432
5141.6725.182728753776116.4872712462239
5236.0630.00917055881866.05082944118137
5339.7636.78263576751842.97736423248156
5436.8133.11576518271173.69423481728828
5542.6545.2637148966472-2.61371489664724
5646.8957.7743583255711-10.8843583255711
5753.6152.45255939321981.15744060678020
5857.5948.20196714768439.3880328523157
5967.8260.82281794156626.99718205843374
6071.8952.383021757894819.5069782421052
6175.5168.48869695179077.0213030482093
6268.4965.1606407944583.32935920554197
6362.7267.4001322308557-4.68013223085572
6470.3953.526642616679516.8633573833205
6559.7751.85551838029177.9144816197083
6657.2755.85000044597591.41999955402413
6767.9658.21151040438169.74848959561838
6867.8572.5453326358316-4.69533263583160
6976.9880.7872560193313-3.80725601933125
7081.0895.1196855081471-14.0396855081471
7191.66100.509494642391-8.8494946423906
7284.84101.472422097319-16.6324220973192
7385.73117.321247612044-31.5912476120443
7484.61110.607139940152-25.9971399401515
7592.91111.286586907601-18.3765869076007
7699.8127.600608604569-27.800608604569
77121.19131.769344260362-10.5793442603624
78122.04123.505275038774-1.46527503877421
79131.76122.7455695654149.0144304345864
80138.48126.28573042511412.1942695748859
81153.47133.13512757787820.3348724221221
82189.95182.3388805769937.61111942300712
83182.22164.90825818134517.3117418186554
84198.08181.80610651685616.2738934831442
85135.36158.600532567402-23.2405325674016
86125.02136.913798436335-11.8937984363352
87143.5149.279735341508-5.77973534150823
88173.95148.65198731316925.2980126868310
89188.75152.73037895790136.0196210420988
90167.44150.62709053179316.8129094682072
91158.95153.9859762694734.964023730527
92169.53166.5335375956562.99646240434364
93113.66157.411974154532-43.751974154532
94107.59112.346326078964-4.75632607896362
9592.67107.350128115044-14.6801281150444
9685.35109.241734896144-23.8917348961441
9790.13105.699584728280-15.5695847282803
9889.3198.5717858659368-9.26178586593684
99105.12113.273341476923-8.15334147692337
100125.83128.771285845827-2.94128584582696
101135.81132.2150222159343.59497778406606
102142.43151.202637790153-8.77263779015328
103163.39145.16194375811718.2280562418828
104168.21153.63493509160314.5750649083966
105185.35160.70418612138224.6458138786181
106188.5182.5311079405355.96889205946534
107199.91196.3789356161613.53106438383950
108210.73202.5517972206218.17820277937923
109192.06191.0443739713351.01562602866539
110204.62201.7895643945262.83043560547424
111235206.00446005964128.9955399403592
112261.09281.497277100175-20.4072771001755
113256.88249.8850624866016.99493751339883
114251.53238.08473674070413.4452632592964
115257.25265.108249436415-7.85824943641501
116243.1255.863746085701-12.7637460857006
117283.75263.15828042520220.5917195747977


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
110.001724217221446130.003448434442892250.998275782778554
120.0001590145500347800.0003180291000695590.999840985449965
132.19781136117100e-054.39562272234199e-050.999978021886388
141.80747137492613e-063.61494274985226e-060.999998192528625
151.48095854095045e-072.96191708190091e-070.999999851904146
161.62403183391325e-083.24806366782649e-080.999999983759682
171.3352375949971e-092.6704751899942e-090.999999998664762
183.13486898889623e-096.26973797779245e-090.99999999686513
199.65149427177646e-101.93029885435529e-090.99999999903485
201.37234468248636e-102.74468936497273e-100.999999999862766
212.50893382217956e-115.01786764435912e-110.99999999997491
222.80766423512544e-125.61532847025089e-120.999999999997192
232.83281012592729e-135.66562025185459e-130.999999999999717
242.69761858333651e-145.39523716667302e-140.999999999999973
253.28126023589668e-156.56252047179336e-150.999999999999997
261.31474501457829e-152.62949002915658e-150.999999999999999
271.9454741347776e-163.8909482695552e-161
283.56554857552281e-177.13109715104562e-171
294.54223351745534e-189.08446703491068e-181
306.63375737407224e-191.32675147481445e-181
311.78327103826010e-193.56654207652019e-191
325.16697198107829e-201.03339439621566e-191
335.53281867035672e-211.10656373407134e-201
346.29894793638778e-221.25978958727756e-211
358.28006689157946e-231.65601337831589e-221
369.13322426216869e-241.82664485243374e-231
379.39441983003671e-251.87888396600734e-241
381.15967496837846e-252.31934993675693e-251
394.01945609348265e-268.0389121869653e-261
404.23126343457939e-278.46252686915878e-271
411.36030972393050e-272.72061944786100e-271
423.3214290653706e-286.6428581307412e-281
433.36045420458172e-296.72090840916343e-291
442.08562635539501e-294.17125271079001e-291
451.44923066830914e-282.89846133661828e-281
465.68034692032284e-271.13606938406457e-261
472.7182989075141e-245.4365978150282e-241
488.20410853305554e-241.64082170661111e-231
491.40402239460520e-242.80804478921041e-241
502.92331202474042e-225.84662404948083e-221
517.24764891310876e-191.44952978262175e-181
521.74916767799813e-193.49833535599627e-191
531.67359343272545e-183.3471868654509e-181
542.12142414982258e-184.24284829964517e-181
551.73938793648101e-163.47877587296201e-161
562.31020939931033e-144.62041879862065e-140.999999999999977
571.05605933130825e-112.1121186626165e-110.99999999998944
581.22265760983376e-102.44531521966752e-100.999999999877734
599.81743092417652e-091.96348618483530e-080.99999999018257
604.13254266885094e-078.26508533770188e-070.999999586745733
614.45090412790688e-078.90180825581376e-070.999999554909587
622.56446266192424e-075.12892532384848e-070.999999743553734
631.23683676775800e-072.47367353551601e-070.999999876316323
641.85246051944528e-073.70492103889057e-070.999999814753948
651.61049310624433e-073.22098621248867e-070.99999983895069
661.00732571483350e-072.01465142966699e-070.999999899267428
671.36442823570598e-072.72885647141197e-070.999999863557176
688.00211787586437e-081.60042357517287e-070.999999919978821
695.78413163239539e-081.15682632647908e-070.999999942158684
703.56849524634906e-087.13699049269812e-080.999999964315048
713.8648562224383e-087.7297124448766e-080.999999961351438
721.73534869044673e-083.47069738089345e-080.999999982646513
732.52776722879697e-085.05553445759394e-080.999999974722328
745.04973047241453e-081.00994609448291e-070.999999949502695
759.67122352617275e-081.93424470523455e-070.999999903287765
761.33861910882730e-062.67723821765460e-060.999998661380891
771.57740988663506e-053.15481977327011e-050.999984225901134
782.46213946203428e-054.92427892406855e-050.99997537860538
792.4582303951525e-054.916460790305e-050.999975417696048
803.40899336086989e-056.81798672173979e-050.999965910066391
810.0001272392287666310.0002544784575332630.999872760771233
820.0004900471267492110.0009800942534984210.99950995287325
830.0005381760187429430.001076352037485890.999461823981257
840.001106380835065560.002212761670131110.998893619164934
850.01027384349991390.02054768699982780.989726156500086
860.01313799238178590.02627598476357180.986862007618214
870.01080924672270360.02161849344540730.989190753277296
880.02268418126748190.04536836253496380.977315818732518
890.1228612667691150.2457225335382290.877138733230885
900.1989692795083040.3979385590166080.801030720491696
910.3352821607196340.6705643214392680.664717839280366
920.919915945013480.1601681099730380.0800840549865192
930.9736292445762310.05274151084753740.0263707554237687
940.972496169390970.05500766121805920.0275038306090296
950.9588668910659040.08226621786819170.0411331089340959
960.9503769403604340.09924611927913260.0496230596395663
970.925864065487650.1482718690246990.0741359345123494
980.8883479909580690.2233040180838620.111652009041931
990.8520411508109860.2959176983780290.147958849189014
1000.7946876097880680.4106247804238640.205312390211932
1010.806404434936080.387191130127840.19359556506392
1020.7659481555278250.468103688944350.234051844472175
1030.7127243145862990.5745513708274010.287275685413701
1040.6047544868649960.7904910262700080.395245513135004
1050.514488961800290.971022076399420.48551103819971
1060.4088217957029610.8176435914059220.591178204297039


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level740.770833333333333NOK
5% type I error level780.8125NOK
10% type I error level820.854166666666667NOK