Multiple Linear Regression - Estimated Regression Equation
Apple[t] = -127.447605621375 -31.2727304377683Omzetgroei[t] + 63.5049184403006Omzetgroei_iPhone[t] + 105.207064497490Omzetgroei_iPad[t] -3.07859516993699e-07Volume[t] + 6.18588427968051Microsoft[t] -0.254623501864903Consumentenvertrouwen[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
Omzetgroei-31.27273043776836.348574-4.92593e-062e-06
Omzetgroei_iPhone63.504918440300612.184115.21211e-060
Omzetgroei_iPad105.20706449749012.2854268.563600
Volume-3.07859516993699e-070-2.05780.0419910.020995
Microsoft6.185884279680510.5943110.408500
Consumentenvertrouwen-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)430.699241373586
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
110.81-3.5289079970994214.3389079970994
29.12-2.3758786815969411.4958786815969
311.03-14.783828483671425.8138284836714
412.7417.6437538075878-4.90375380758779
59.9823.5361700648614-13.5561700648614
611.6233.4029313768821-21.7829313768821
79.419.2480998684049-9.84809986840493
89.270.7227204589974048.5472795410026
97.76-9.8215460181807317.5815460181807
108.78-6.0193826111220314.7993826111220
1110.6511.3114112451014-0.661411245101373
1210.9515.6321331960253-4.68213319602528
1312.3617.9465498433878-5.5865498433878
1410.856.69415987701694.1558401229831
1511.8410.83018901392251.00981098607746
1612.14-5.1528307086881617.2928307086882
1711.65-7.3400799561542618.9900799561543
188.862.745197278352786.11480272164722
197.63-10.300875890313317.9308758903133
207.38-3.8689508090908111.2489508090908
217.25-15.841061465127323.0910614651273
228.0310.6875903640670-2.65759036406703
237.7521.8926442087696-14.1426442087696
247.169.7012945910789-2.54129459107891
257.182.856354823965764.32364517603424
267.518.94928716407583-1.43928716407583
277.0714.0319077973756-6.96190779737562
287.1112.1886840265273-5.07868402652732
298.986.643796171332122.33620382866788
309.5315.7779379773051-6.24793797730508
3110.5419.8397332947637-9.29973329476371
3211.3120.9957139825741-9.68571398257413
3310.3629.4382477747903-19.0782477747903
3411.4416.2156299359501-4.77562993595012
3510.4513.2784400100617-2.82844001006168
3610.6923.3112816912529-12.6212816912529
3711.2825.4657791781929-14.1857791781929
3811.9624.6191535860914-12.6591535860914
3913.5215.4448586505344-1.92485865053439
4012.8922.2606125802211-9.37061258022112
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
4733.5333.16122444479350.368775555206520
4832.233.0845786737927-0.884578673792687
4938.4525.764397100129212.6856028998709
5044.8623.826394133056821.0336058669432
5141.6725.182728753776116.4872712462239
5236.0630.00917055881866.05082944118138
5339.7636.78263576751842.97736423248156
5436.8133.11576518271173.6942348172883
5542.6545.2637148966472-2.61371489664723
5646.8957.7743583255711-10.8843583255711
5753.6152.45255939321981.15744060678021
5857.5948.20196714768439.3880328523157
5967.8260.82281794156626.99718205843376
6071.8952.383021757894819.5069782421052
6175.5168.48869695179077.0213030482093
6268.4965.1606407944583.32935920554197
6362.7267.4001322308557-4.68013223085573
6470.3953.526642616679516.8633573833206
6559.7751.85551838029177.91448161970832
6657.2755.85000044597591.41999955402414
6767.9658.21151040438169.74848959561838
6867.8572.5453326358316-4.6953326358316
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
78122.04123.505275038774-1.46527503877422
79131.76122.7455695654149.01443043458642
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
91158.95153.9859762694734.96402373052699
92169.53166.5335375956562.99646240434363
93113.66157.411974154532-43.751974154532
94107.59112.346326078964-4.75632607896365
9592.67107.350128115044-14.6801281150444
9685.35109.241734896144-23.8917348961441
9790.13105.699584728280-15.5695847282803
9889.3198.5717858659369-9.26178586593687
99105.12113.273341476923-8.15334147692339
100125.83128.771285845827-2.94128584582695
101135.81132.2150222159343.59497778406609
102142.43151.202637790153-8.77263779015326
103163.39145.16194375811718.2280562418828
104168.21153.63493509160314.5750649083966
105185.35160.70418612138224.6458138786181
106188.5182.5311079405355.96889205946534
107199.91196.3789356161613.5310643838395
108210.73202.5517972206218.17820277937919
109192.06191.0443739713351.01562602866542
110204.62201.7895643945262.83043560547426
111235206.00446005964128.9955399403592
112261.09281.497277100175-20.4072771001755
113256.88249.8850624866016.99493751339882
114251.53238.08473674070413.4452632592965
115257.25265.108249436415-7.85824943641502
116243.1255.863746085701-12.7637460857006
117283.75263.15828042520220.5917195747977


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
110.001724217221446130.003448434442892260.998275782778554
120.0001590145500347790.0003180291000695590.999840985449965
132.19781136117100e-054.39562272234201e-050.999978021886388
141.80747137492613e-063.61494274985226e-060.999998192528625
151.48095854095044e-072.96191708190088e-070.999999851904146
161.62403183391325e-083.24806366782649e-080.999999983759682
171.33523759499709e-092.67047518999418e-090.999999998664762
183.13486898889620e-096.26973797779241e-090.99999999686513
199.65149427177642e-101.93029885435528e-090.99999999903485
201.37234468248635e-102.74468936497271e-100.999999999862766
212.50893382217956e-115.01786764435912e-110.99999999997491
222.80766423512544e-125.61532847025089e-120.999999999997192
232.83281012592732e-135.66562025185464e-130.999999999999717
242.69761858333653e-145.39523716667306e-140.999999999999973
253.28126023589666e-156.56252047179331e-150.999999999999997
261.31474501457828e-152.62949002915656e-150.999999999999999
271.94547413477759e-163.89094826955517e-161
283.56554857552279e-177.13109715104557e-171
294.54223351745531e-189.08446703491062e-181
306.63375737407224e-191.32675147481445e-181
311.78327103826008e-193.56654207652017e-191
325.16697198107822e-201.03339439621564e-191
335.53281867035679e-211.10656373407136e-201
346.29894793638782e-221.25978958727756e-211
358.28006689157946e-231.65601337831589e-221
369.13322426216869e-241.82664485243374e-231
379.39441983003671e-251.87888396600734e-241
381.15967496837846e-252.31934993675693e-251
394.01945609348273e-268.03891218696547e-261
404.23126343457933e-278.46252686915866e-271
411.36030972393051e-272.72061944786102e-271
423.3214290653706e-286.6428581307412e-281
433.36045420458174e-296.72090840916348e-291
442.08562635539498e-294.17125271078995e-291
451.44923066830914e-282.89846133661828e-281
465.68034692032273e-271.13606938406455e-261
472.71829890751416e-245.43659781502831e-241
488.20410853305571e-241.64082170661114e-231
491.40402239460520e-242.80804478921041e-241
502.92331202474048e-225.84662404948095e-221
517.24764891310866e-191.44952978262173e-181
521.74916767799813e-193.49833535599627e-191
531.67359343272547e-183.34718686545095e-181
542.12142414982258e-184.24284829964517e-181
551.73938793648114e-163.47877587296228e-161
562.31020939931035e-144.62041879862071e-140.999999999999977
571.05605933130827e-112.11211866261653e-110.99999999998944
581.22265760983378e-102.44531521966756e-100.999999999877734
599.81743092417656e-091.96348618483531e-080.99999999018257
604.13254266885094e-078.26508533770188e-070.999999586745733
614.45090412790688e-078.90180825581375e-070.999999554909587
622.56446266192424e-075.12892532384848e-070.999999743553734
631.23683676775799e-072.47367353551599e-070.999999876316323
641.85246051944526e-073.70492103889052e-070.999999814753948
651.61049310624437e-073.22098621248875e-070.99999983895069
661.00732571483347e-072.01465142966695e-070.999999899267428
671.36442823570598e-072.72885647141197e-070.999999863557176
688.00211787586441e-081.60042357517288e-070.999999919978821
695.78413163239544e-081.15682632647909e-070.999999942158684
703.56849524634906e-087.13699049269813e-080.999999964315048
713.86485622243836e-087.72971244487671e-080.999999961351438
721.73534869044675e-083.47069738089351e-080.999999982646513
732.52776722879701e-085.05553445759401e-080.999999974722328
745.04973047241431e-081.00994609448286e-070.999999949502695
759.67122352617266e-081.93424470523453e-070.999999903287765
761.33861910882724e-062.67723821765448e-060.999998661380891
771.57740988663506e-053.15481977327011e-050.999984225901134
782.46213946203424e-054.92427892406847e-050.99997537860538
792.45823039515251e-054.91646079030503e-050.999975417696048
803.40899336086986e-056.81798672173971e-050.999965910066391
810.0001272392287666330.0002544784575332660.999872760771233
820.0004900471267492140.0009800942534984290.99950995287325
830.0005381760187429420.001076352037485880.999461823981257
840.001106380835065550.002212761670131110.998893619164934
850.01027384349991380.02054768699982760.989726156500086
860.01313799238178580.02627598476357170.986862007618214
870.01080924672270340.02161849344540690.989190753277297
880.02268418126748130.04536836253496250.977315818732519
890.1228612667691160.2457225335382320.877138733230884
900.1989692795083030.3979385590166070.801030720491697
910.3352821607196350.6705643214392710.664717839280365
920.9199159450134810.1601681099730380.080084054986519
930.973629244576230.05274151084753860.0263707554237693
940.972496169390970.05500766121805980.0275038306090299
950.9588668910659050.08226621786819040.0411331089340952
960.9503769403604340.09924611927913150.0496230596395658
970.925864065487650.1482718690246980.0741359345123492
980.888347990958070.223304018083860.11165200904193
990.8520411508109850.2959176983780310.147958849189015
1000.794687609788070.410624780423860.20531239021193
1010.806404434936080.3871911301278420.193595565063921
1020.7659481555278250.468103688944350.234051844472175
1030.7127243145863010.5745513708273990.287275685413699
1040.6047544868649950.790491026270010.395245513135005
1050.5144889618002870.9710220763994260.485511038199713
1060.4088217957029530.8176435914059070.591178204297047


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