Multiple Linear Regression - Estimated Regression Equation
Apple[t] = -167.424814295902 -8.72819190638523Omzetgroei[t] -4.30135459798218e-07Volume[t] + 8.83841129074744Microsoft[t] -0.66873809382994Consumentenvertrouwen[t] + 6.27872053212582M1[t] + 10.5105860530226M2[t] + 15.0431505457878M3[t] + 18.1188764739720M4[t] + 24.7843160355318M5[t] + 17.5713482106206M6[t] + 22.3168235770649M7[t] + 19.8568271551399M8[t] + 21.4874096649532M9[t] + 3.79266552398288M10[t] + 0.0655665756245509M11[t] + 1.54972876039673t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-167.42481429590219.521004-8.576600
Omzetgroei-8.7281919063852310.288069-0.84840.3982530.199126
Volume-4.30135459798218e-070-1.67450.097150.048575
Microsoft8.838411290747440.83274810.613500
Consumentenvertrouwen-0.668738093829940.160171-4.17516.4e-053.2e-05
M16.2787205321258211.4153910.550.583530.291765
M210.510586053022611.0635740.950.3443940.172197
M315.043150545787811.0091871.36640.1748720.087436
M418.118876473972010.9571641.65360.1013430.050671
M524.784316035531811.0407272.24480.0269830.013492
M617.571348210620610.9927911.59840.11310.05655
M722.316823577064910.9839272.03180.0448290.022415
M819.856827155139911.0666571.79430.0757880.037894
M921.487409664953210.9574831.9610.0526630.026331
M103.7926655239828811.3293860.33480.7385050.369252
M110.065566575624550911.1459670.00590.9953180.497659
t1.549728760396730.14758410.500700


Multiple Linear Regression - Regression Statistics
Multiple R0.957710226610274
R-squared0.917208878153903
Adjusted R-squared0.903962298658528
F-TEST (value)69.241186260507
F-TEST (DF numerator)16
F-TEST (DF denominator)100
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation23.5449579349573
Sum Squared Residuals55436.5044158911


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
110.81-29.128934633078639.9389346330786
29.12-21.862929304217630.9829293042175
311.03-37.861819558756348.8918195587563
412.7415.8191941614226-3.07919416142259
59.9828.4414830991175-18.4614830991175
611.6233.9882169765274-22.3682169765274
79.417.6408173547179-8.24081735471787
89.27-11.147446504416920.4174465044169
97.76-19.836971440676427.5969714406764
108.78-7.83100248695116.611002486951
1110.6512.8078003888549-2.15780038885488
1210.9515.4526920100372-4.50269201003722
1312.3612.10364875749180.256351242508245
1410.850.62079412230713910.2292058776929
1511.845.723957407746976.11604259225303
1612.14-16.577512214561428.7175122145614
1711.65-14.085937921687125.7359379216871
188.86-6.107569595353914.9675695953539
197.63-16.856259971621524.4862599716215
207.38-9.7848560271802617.1648560271803
217.25-25.498583575938232.7485835759382
228.031.231962019382326.79803798061768
237.7511.3812859040641-3.63128590406407
247.16-5.3196679660133612.4796679660134
257.18-11.724924656876618.9049246568766
267.514.960573529628682.54942647037132
277.0717.2899390327428-10.2199390327428
287.1114.7279488222825-7.61794882228252
298.9812.2329173121377-3.25291731213774
309.5317.5267717732773-7.99677177327734
3110.5433.4039351298877-22.8639351298877
3211.3130.6567552749444-19.3467552749444
3310.3645.3067025210455-34.9467025210455
3411.4413.0754575258651-1.63545752586509
3510.451.347009806753769.10299019324624
3610.6915.3627618198796-4.67276181987963
3711.2820.3781618147631-9.09816181476309
3811.9625.2728146088783-13.3128146088783
3913.5216.2860072990066-2.76600729900656
4012.8927.5456874102571-14.6556874102571
4114.0339.0887992601856-25.0587992601856
4216.2741.4498449447815-25.1798449447815
4316.1743.7135139851325-27.5435139851325
4417.2541.0322112286433-23.7822112286433
4519.3847.957566689102-28.5775666891020
4626.226.9848384046912-0.78483840469119
4733.5337.5638539443877-4.03385394438768
4832.233.7655396498255-1.56553964982551
4938.4527.104770988390611.3452290116094
5044.8628.215226267941916.6447737320581
5141.6734.45607886461837.21392113538167
5236.0647.4625291208946-11.4025291208946
5339.7661.4918559914739-21.7318559914739
5436.8147.5662944562746-10.7562944562746
5542.6563.3982633935495-20.7482633935495
5646.8977.702976868646-30.812976868646
5753.6176.7894369524919-23.1794369524919
5857.5956.29511783976681.29488216023321
5967.8266.02042132274971.79957867725033
6071.8951.71878696629620.1712130337040
6175.5168.86865668863566.64134331136442
6268.4969.071756514849-0.581756514848955
6362.7274.8427344024244-12.1227344024244
6470.3953.230771521988217.1592284780118
6559.7758.4543837171831.31561628281698
6657.2756.17793145923431.09206854076570
6767.9666.07748982968791.88251017031206
6867.8585.6368170614178-17.7868170614178
6976.9896.8473018730143-19.8673018730143
7081.0896.5646572599-15.4846572598999
7191.6699.9915897284772-8.33158972847715
7284.8499.4434417737356-14.6034417737356
7385.73107.742314508484-22.0123145084845
7484.61101.362023352933-16.7520233529329
7592.91107.279193279517-14.369193279517
7699.8130.430002832845-30.6300028328452
77121.19141.937008363237-20.7470083632374
78122.04123.507306046263-1.46730604626286
79131.76119.60496615199612.1550338480041
80138.48123.58478351589714.8952164841034
81153.47136.38049883539917.0895011646011
82189.95184.3740814527305.57591854727026
83182.22157.59316665924324.6268333407566
84198.08180.17946681527217.9005331847278
85135.36151.444911624608-16.0849116246079
86125.02127.552761331245-2.53276133124545
87143.5152.419301067743-8.9193010677427
88173.95163.40709865977210.5429013402276
89188.75176.90051492988911.8494850701109
90167.44168.277653301704-0.837653301703777
91158.95155.7847672863653.16523271363479
92169.53168.6504805852620.879519414737715
93113.66156.068556343813-42.4085563438127
94107.59113.744518120294-6.154518120294
9592.67100.310998012182-7.64099801218245
9685.35104.266506063077-18.916506063077
9790.13115.575994244093-25.4459942440926
9889.31102.575169337853-13.2651693378535
99105.12127.117420713788-21.9974207137881
100125.83139.387273796008-13.5572737960081
101135.81146.178344363205-10.3683443632048
102142.43167.312791478231-24.8827914782306
103163.39175.964235147452-12.574235147452
104168.21182.912081270901-14.7020812709006
105185.35194.518521350729-9.16852135072932
106188.5194.720369864322-6.22036986432195
107199.91209.643874233287-9.73387423328693
108210.73217.020472867890-6.2904728678903
109192.06196.505400663489-4.44540066348925
110204.62218.581810238581-13.9618102385807
111235226.8271874911698.17281250883056
112261.09236.56700588909124.5229941109093
113256.88196.16063088525860.7193691147421
114251.53174.10075915906177.4292408409385
115257.25206.96827169283350.2817283071671
116243.1190.02619672588653.0738032741139
117283.75203.0369704510280.71302954898


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
200.0002980623412145840.0005961246824291680.999701937658785
212.10230122855615e-054.20460245711231e-050.999978976987714
221.64092555787286e-063.28185111574572e-060.999998359074442
231.31343213228661e-072.62686426457322e-070.999999868656787
247.44455761869439e-091.48891152373888e-080.999999992555442
257.72586811908544e-101.54517362381709e-090.999999999227413
267.01162955072654e-111.40232591014531e-100.999999999929884
273.94236890332906e-127.88473780665813e-120.999999999996058
283.23935930685226e-126.47871861370452e-120.99999999999676
292.92733709203216e-135.85467418406431e-130.999999999999707
304.10100907222041e-148.20201814444082e-140.99999999999996
311.62761385744921e-143.25522771489842e-140.999999999999984
323.16374958345139e-156.32749916690279e-150.999999999999997
332.28967388533606e-164.57934777067213e-161
342.34307109995587e-174.68614219991175e-171
352.35543625184074e-184.71087250368148e-181
362.01910832410833e-194.03821664821666e-191
375.4717579624161e-201.09435159248322e-191
385.57354219456854e-211.11470843891371e-201
391.01640108419724e-212.03280216839449e-211
409.9357642601199e-231.98715285202398e-221
411.82343342329806e-233.64686684659612e-231
427.36302382080776e-241.47260476416155e-231
438.04296570733311e-251.60859314146662e-241
442.52162742389237e-255.04325484778473e-251
454.81289543358375e-259.6257908671675e-251
468.94377176984193e-241.78875435396839e-231
479.2873509559076e-221.85747019118152e-211
481.32624221022537e-212.65248442045074e-211
492.25831446702500e-224.51662893405001e-221
501.86554228222618e-213.73108456445236e-211
516.4457706576303e-191.28915413152606e-181
521.27760077447776e-192.55520154895553e-191
537.99468666600894e-191.59893733320179e-181
541.39816679161451e-182.79633358322901e-181
552.90173885318742e-165.80347770637484e-161
561.04121122947436e-142.08242245894871e-140.99999999999999
579.46406655694178e-131.89281331138836e-120.999999999999054
581.09682883884725e-112.19365767769450e-110.999999999989032
594.69579445067325e-109.3915889013465e-100.99999999953042
601.13161093849962e-082.26322187699924e-080.99999998868389
612.77285856367911e-085.54571712735822e-080.999999972271414
622.26406705423355e-084.5281341084671e-080.99999997735933
631.21880737176313e-082.43761474352626e-080.999999987811926
641.37858336903611e-082.75716673807223e-080.999999986214166
657.21431811323129e-091.44286362264626e-080.999999992785682
663.1774502657413e-096.3549005314826e-090.99999999682255
671.68933674434146e-093.37867348868292e-090.999999998310663
686.37325753804302e-101.27465150760860e-090.999999999362674
692.32560519979752e-104.65121039959504e-100.99999999976744
708.95938626215301e-111.79187725243060e-100.999999999910406
715.0587852257088e-111.01175704514176e-100.999999999949412
722.21416893512476e-114.42833787024952e-110.999999999977858
731.21613418981507e-112.43226837963014e-110.999999999987839
744.66958290754624e-129.33916581509249e-120.99999999999533
753.45376561719772e-126.90753123439543e-120.999999999996546
766.83441154359331e-121.36688230871866e-110.999999999993166
771.82677310352172e-103.65354620704344e-100.999999999817323
781.46059632304137e-092.92119264608274e-090.999999998539404
791.29112628497994e-082.58225256995988e-080.999999987088737
801.06272791761512e-072.12545583523024e-070.999999893727208
811.72609360441872e-063.45218720883744e-060.999998273906396
822.42790336043989e-054.85580672087978e-050.999975720966396
830.0001106524641527830.0002213049283055660.999889347535847
840.002487142693682130.004974285387364270.997512857306318
850.001699650196427660.003399300392855320.998300349803572
860.001715192023096810.003430384046193620.998284807976903
870.001732552739991190.003465105479982390.998267447260009
880.01449759115136690.02899518230273370.985502408848633
890.05249456858552730.1049891371710550.947505431414473
900.1129096353902800.2258192707805600.88709036460972
910.1574510854876800.3149021709753610.84254891451232
920.9628714274580660.07425714508386750.0371285725419337
930.9848906662479230.03021866750415380.0151093337520769
940.9742042282461630.05159154350767420.0257957717538371
950.9538482279839560.09230354403208820.0461517720160441
960.9206668982989940.1586662034020130.0793331017010065
970.8241716746720760.3516566506558470.175828325327924


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level680.871794871794872NOK
5% type I error level700.897435897435897NOK
10% type I error level730.935897435897436NOK