Multiple Linear Regression - Estimated Regression Equation
APPLE[t] = -154.134352998398 -6.20191077240239e-07VOLUME[t] -14.5370902407824REV.GROWTH[t] + 8.00707285496616MICROSOFT[t] -0.48366229262046CONS.CONF[t] + 1.73128519781195t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-154.13435299839817.180336-8.971600
VOLUME-6.20191077240239e-070-2.70040.0080120.004006
REV.GROWTH-14.537090240782410.071044-1.44350.1517090.075854
MICROSOFT8.007072854966160.79731510.042500
CONS.CONF-0.483662292620460.147821-3.2720.0014240.000712
t1.731285197811950.13358512.960100


Multiple Linear Regression - Regression Statistics
Multiple R0.952350239811516
R-squared0.906970979269052
Adjusted R-squared0.90278048283973
F-TEST (value)216.435211094022
F-TEST (DF numerator)5
F-TEST (DF denominator)111
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation23.6893841431663
Sum Squared Residuals62291.7482401575


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
110.81-23.981712308894834.7917123088949
29.12-19.302381437157828.4223814371578
311.03-37.561621639294748.5916216392947
412.746.669969194033086.07003080596692
59.9814.9878988031746-5.0078988031746
611.6226.9808614439767-15.3608614439767
79.47.810386944198481.58961305580153
89.27-14.423576545945623.6935765459456
97.76-26.845309983960934.6053099839609
108.78-4.5140249115467913.2940249115468
1110.6518.4126221569634-7.76262215696339
1210.9522.642277077978-11.692277077978
1312.3615.2051515585774-2.84515155857738
1410.850.8817988641272129.96820113587279
1511.845.004176940723166.83582305927684
1612.14-17.698980677604729.8389806776047
1711.65-20.797496613881832.4474966138818
188.86-8.5189097352743717.3789097352744
197.63-22.949440588672730.5794405886727
207.38-13.187498076980820.5674980769808
217.25-28.946725655048936.1967256550489
228.039.20910842478632-1.17910842478632
237.7523.3031220777607-15.5531220777607
247.168.11630652475149-0.956306524751487
257.18-3.3723319963147610.5523319963148
267.517.16347596771980.346524032280196
277.0714.3262041385583-7.25620413855832
287.119.76562599247612-2.65562599247612
298.980.9510329808154328.02896701918457
309.5314.5013798060706-4.97137980607063
3110.5423.8259811787228-13.2859811787228
3211.3124.7410430241728-13.4310430241728
3310.3635.8725128759893-25.5125128759893
3411.4422.0594692033944-10.6194692033944
3510.4516.8673638578927-6.41736385789267
3610.6929.9358445389532-19.2458445389532
3711.2828.9142696925118-17.6342696925118
3811.9629.880610730741-17.920610730741
3913.5215.9947127255577-2.47471272555774
4012.8924.841221523558-11.951221523558
4114.0331.0400322857486-17.0100322857486
4216.2740.0977510422493-23.8277510422493
4316.1737.5637580844737-21.3937580844737
4417.2537.5931386179208-20.3431386179208
4519.3842.4368549540992-23.0568549540992
4626.233.428273332118-7.22827333211802
4733.5346.0664700494242-12.5364700494242
4832.245.4137781651326-13.2137781651326
4938.4529.38179943578379.06820056421626
5044.8628.494009439898316.3659905601017
5141.6734.04406843987837.62593156012175
5236.0640.2420689809901-4.18206898099008
5339.7650.5845979694464-10.8245979694464
5436.8146.0134170964051-9.20341709640509
5542.6557.2869169778635-14.6369169778635
5646.8973.9115114369084-27.0215114369084
5753.6168.1949221279359-14.5849221279359
5857.5962.5314927606709-4.94149276067093
5967.8278.815166642706-10.995166642706
6071.8967.05999541542594.83000458457413
6175.5175.5970302172293-0.0870302172293338
6268.4972.4775609145483-3.98756091454829
6362.7274.5983102003232-11.8783102003232
6470.3953.067221205959217.3227787940408
6559.7754.1918575227085.57814247729202
6657.2758.4449839595593-1.17498395955928
6767.9662.53862566603755.42137433396248
6867.8582.9376600622813-15.0876600622813
6976.9891.7868115446541-14.8068115446541
7081.08110.185281621652-29.1052816216515
7191.66116.824994508139-25.1649945081387
7284.84115.658415262778-30.8184152627784
7385.73113.857770767879-28.1277707678791
7484.61109.901822268718-25.2918222687181
7592.91111.279596730886-18.3695967308862
7699.8129.54925949676-29.7492594967602
77121.19133.342199343209-12.1521993432094
78122.04120.5280849297991.51191507020111
79131.76112.6782048381419.0817951618596
80138.48119.14323524506219.3367647549377
81153.47128.53884086429424.9311591357059
82189.95187.9017223790012.04827762099925
83182.22164.33836953643417.8816304635657
84198.08188.9365478433349.14345215666628
85135.36149.920694939395-14.5606949393949
86125.02126.928702254653-1.90870225465328
87143.5145.39321692647-1.89321692647006
88173.95154.24591552660719.7040844733933
89188.75161.56309289546127.1869071045388
90167.44159.4064279760058.03357202399498
91158.95142.02271240178616.9272875982136
92169.53159.30476641623410.2252335837656
93113.66142.402740914777-28.7427409147771
94107.59116.317650302864-8.7276503028642
9592.67113.6554537575-20.9854537574997
9685.35119.427615201161-34.0776152011609
9790.13120.162068298861-30.0320682988613
9889.31108.88444188496-19.5744418849596
99105.12127.864806851276-22.7448068512758
100125.83138.386232072637-12.5562320726365
101135.81141.286914030145-5.4769140301446
102142.43165.798287199066-23.3682871990664
103163.39171.595383746337-8.20538374633718
104168.21182.242844969093-14.032844969093
105185.35190.668675483738-5.3186754837375
106188.5203.918760294222-15.4187602942221
107199.91222.836237710126-22.9262377101257
108210.73229.53178474948-18.8017847494797
109192.06202.123011991288-10.0630119912882
110204.62219.606025936263-14.9860259362633
111235224.40212465133410.5978753486658
112261.09230.02880718323731.0611928167628
113256.88185.60939227676471.2706077232363
114251.53172.73549890235978.7945010976412
115257.25197.96922531798159.2807746820188
116243.1188.01541222069655.0845877793041
117283.75196.92622645515386.8237735448472


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
90.0001175582642716820.0002351165285433640.999882441735728
101.5781671081611e-053.15633421632221e-050.999984218328918
111.24465711461738e-062.48931422923476e-060.999998755342885
126.21287816322216e-081.24257563264443e-070.999999937871218
135.81582113990924e-091.16316422798185e-080.99999999418418
142.72623905391665e-105.4524781078333e-100.999999999727376
151.32348132953493e-112.64696265906986e-110.999999999986765
169.84608663156577e-131.96921732631315e-120.999999999999015
175.20143080275554e-141.04028616055111e-130.999999999999948
181.65889003858968e-133.31778007717937e-130.999999999999834
194.16690307087893e-148.33380614175786e-140.999999999999958
204.16813414520556e-158.33626829041112e-150.999999999999996
215.07659668604166e-161.01531933720833e-151
223.84276835817564e-177.68553671635128e-171
232.43921484952769e-184.87842969905539e-181
241.59794948600967e-193.19589897201934e-191
251.51282600666492e-203.02565201332984e-201
265.57374473679934e-211.11474894735987e-201
276.98294570623628e-221.39658914124726e-211
281.16184251177684e-222.32368502355369e-221
291.48452529062283e-232.96905058124567e-231
302.18120856310836e-244.36241712621673e-241
315.76931911710791e-251.15386382342158e-241
321.72774667746903e-253.45549335493806e-251
331.65522676613996e-263.31045353227992e-261
341.74271610626315e-273.48543221252629e-271
352.07894409053406e-284.15788818106811e-281
361.95377868097028e-293.90755736194056e-291
371.91155521026798e-303.82311042053596e-301
382.56266186094295e-315.1253237218859e-311
391.44762485719806e-312.89524971439612e-311
402.0996468904676e-324.1992937809352e-321
411.0280788118076e-322.05615762361521e-321
423.09129841125242e-336.18259682250483e-331
433.17466261881958e-346.34932523763916e-341
442.78527815999615e-345.5705563199923e-341
453.41772361435461e-336.83544722870922e-331
461.66022374650212e-313.32044749300424e-311
471.05978198987408e-282.11956397974817e-281
482.92138002643539e-285.84276005287078e-281
494.17251962415204e-298.34503924830408e-291
509.44861277674694e-271.88972255534939e-261
513.20713206220087e-236.41426412440174e-231
526.43046472181005e-241.28609294436201e-231
537.12021886398933e-231.42404377279787e-221
541.05038857469729e-222.10077714939457e-221
551.10695001900515e-202.2139000380103e-201
561.60250660180371e-183.20501320360741e-181
571.28469961382699e-152.56939922765397e-150.999999999999999
581.96481865246388e-143.92963730492775e-140.99999999999998
592.7115562191646e-125.4231124383292e-120.999999999997288
602.08395258344003e-104.16790516688005e-100.999999999791605
612.64833385004755e-105.2966677000951e-100.999999999735167
621.52321495214356e-103.04642990428711e-100.999999999847679
636.05907606525856e-111.21181521305171e-100.99999999993941
647.28177599765085e-111.45635519953017e-100.999999999927182
655.43163222072865e-111.08632644414573e-100.999999999945684
662.73506153883574e-115.47012307767148e-110.99999999997265
671.74704768075416e-113.49409536150831e-110.99999999998253
687.54493255916509e-121.50898651183302e-110.999999999992455
693.34769848357329e-126.69539696714658e-120.999999999996652
701.80007501491063e-123.60015002982125e-120.9999999999982
711.84266089007633e-123.68532178015265e-120.999999999998157
728.2568442578117e-131.65136885156234e-120.999999999999174
731.11008039735225e-122.22016079470449e-120.99999999999889
745.65832198119229e-131.13166439623846e-120.999999999999434
754.63913540800578e-139.27827081601156e-130.999999999999536
769.21740337737614e-131.84348067547523e-120.999999999999078
771.30240904133525e-112.6048180826705e-110.999999999986976
784.51201879881548e-119.02403759763095e-110.99999999995488
796.30556957821753e-101.26111391564351e-090.999999999369443
801.44697588778303e-082.89395177556607e-080.999999985530241
815.80358857583954e-071.16071771516791e-060.999999419641142
821.08611025440451e-052.17222050880902e-050.999989138897456
834.15039807861259e-058.30079615722518e-050.999958496019214
840.0002353377757985810.0004706755515971620.999764662224201
850.0003150753169000270.0006301506338000530.9996849246831
860.0002167320321258560.0004334640642517110.999783267967874
870.0001309640970573650.0002619281941147290.999869035902943
880.0005214592739029750.001042918547805950.999478540726097
890.02048067390191540.04096134780383080.979519326098085
900.1486052704687670.2972105409375330.851394729531233
910.2734138632342990.5468277264685970.726586136765701
920.9245768736711910.1508462526576170.0754231263288087
930.9537617460982750.09247650780344950.0462382539017248
940.9646334718539870.0707330562920270.0353665281460135
950.9568749454189680.08625010916206330.0431250545810316
960.9438759772397620.1122480455204770.0561240227602383
970.9367164109857580.1265671780284850.0632835890142425
980.9039282739303410.1921434521393180.0960717260696588
990.8579774651684660.2840450696630690.142022534831534
1000.8337310095709160.3325379808581670.166268990429084
1010.7820319735691020.4359360528617960.217968026430898
1020.7298944904552960.5402110190894080.270105509544704
1030.7248812529579730.5502374940840550.275118747042027
1040.6232310576657340.7535378846685320.376768942334266
1050.5080418247544310.9839163504911390.491958175245569
1060.57721935120880.84556129758240.4227806487912
1070.65499277746160.69001444507680.3450072225384
1080.4839895082183860.9679790164367720.516010491781614


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level800.8NOK
5% type I error level810.81NOK
10% type I error level840.84NOK