Multiple Linear Regression - Estimated Regression Equation
Kilometers[t] = -82371.9210209647 + 41.9067532030112Bouwjaar[t] + 2.75617666740298Model[t] -7.1970312698727Kleur[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-82371.92102096473077.104341-26.769300
Bouwjaar41.90675320301121.56208226.827500
Model2.756176667402982.7858090.98940.3245810.16229
Kleur-7.19703126987275.898883-1.22010.2249580.112479


Multiple Linear Regression - Regression Statistics
Multiple R0.929250579285286
R-squared0.86350663910204
Adjusted R-squared0.859914708552094
F-TEST (value)240.401819326642
F-TEST (DF numerator)3
F-TEST (DF denominator)114
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation47.924120708706
Sum Squared Residuals261826.233410099


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1416.1893890150716534.8106109849284
23915.071098220227323.9289017797727
35010.630243617757639.3697563822424
44011.701742350093828.2982576499062
54323.339628222436219.6603717775638
6385.1178902829516332.8821097170484
7443.4332123478848840.5667876521151
8358.9455656826908426.0544343173092
9397.874066950354631.1259330496454
103517.827274887630317.1727251123697
112918.898773619966510.1012263800335
124915.071098220227333.9289017797727
135058.0493501555747-8.04935015557474
145959.7340280906415-0.734028090641502
156339.827612216090123.1723877839099
163249.7808201533658-17.7808201533658
173962.4902047580445-23.4902047580445
184752.5369968207688-5.53699682076879
195348.09614221829914.90385778170094
206060.8055268229777-0.805526822977736
215756.97785142323850.0221485767614764
225247.02464348596284.97535651403717
237048.096142218299121.9038577817009
249049.780820153365840.2191798466342
257481.7343654191013-7.73436541910133
266284.4905420865043-22.4905420865043
275599.9561033585859-44.9561033585859
2884101.640781293653-17.6407812936527
2994102.712280025989-8.71228002598892
3070101.640781293653-31.6407812936527
3110888.93139668897419.068603311026
3213987.246718753907351.7532812460927
3312099.956103358585920.0438966414141
349798.8846046262497-1.88460462624971
35126101.64078129365324.3592187063473
36149107.15313462845941.8468653715414
37158144.61903322913.3809667709999
38124140.791357829261-16.7913578292609
39140130.8381498919859.16185010801479
40109137.422001959127-28.4220019591274
41114131.909648624321-17.9096486243214
4277136.350503226791-59.3505032267912
43120126.397295289515-6.39729528951549
44133138.035181161858-5.03518116185792
45110126.397295289515-16.3972952895155
4692143.547534496664-51.5475344966639
4797141.862856561597-44.8628565615971
4878131.909648624321-53.9096486243214
4999186.525786432011-87.5257864320113
50107190.966641034481-83.966641034481
51112175.501079762399-63.5010797623994
5290171.06022515993-81.0602251599296
5398172.744903094996-74.7449030949964
54125185.454287699675-60.454287699675
55155175.501079762399-20.5010797623994
56190173.81640182733316.1835981726674
57236183.76960976460852.2303902353917
58189168.30404849252720.6959515074733
59174178.257256429802-4.25725642980235
60178193.722817701884-15.722817701884
61136222.920186300217-86.9201863002165
62161207.454625028135-46.4546250281349
63171220.164009632814-49.1640096328135
64149207.454625028135-58.4546250281349
65184224.604864235283-40.6048642352833
66155222.920186300217-67.9201863002165
67276210.21080169553865.7891983044621
68224220.1640096328143.83599036718646
69213230.117217570089-17.1172175700892
70279220.16400963281458.8359903671865
71268218.47933169774749.5206683022532
72287235.62957090489551.3704290951048
73238270.339292838034-32.3392928380336
74213263.142261568161-50.1422615681609
75257269.267794105697-12.2677941056974
76293249.36137823114643.6386217688539
77212256.558409501019-44.5584095010188
78246252.117554898549-6.11755489854904
79353264.82693950322888.1730604967723
80339269.26779410569769.7322058943026
81308259.31458616842248.6854138315783
82247249.361378231146-2.36137823114606
83257259.314586168422-2.31458616842174
84322264.82693950322857.1730604967723
85298299.536661436366-1.53666143636618
86273303.977516038836-30.9775160388359
87312302.2928381037699.70716189623085
88249319.443077310917-70.4430773109175
89286301.221339371433-15.2213393714329
90279296.780484768963-17.7804847689632
91309306.7336927062392.26630729376112
92401308.41837064130692.5816293586944
93309303.9775160388365.0224839611641
94328291.26813143415736.7318685658428
95353301.22133937143351.7786606285671
96354316.68690064351537.3130993564855
97327345.884269241847-18.8842692418471
98324346.955767974183-22.9557679741833
99285345.884269241847-60.8842692418471
100243350.325123844317-107.325123844317
101241340.371915907041-99.3719159070412
102287341.443414639377-54.4434146393774
103355343.12809257444411.8719074255559
104460348.64044590925111.35955409075
105364354.1527992440569.84720075594397
106487345.884269241847141.115730758153
107452358.59365384652693.4063461534742
108391340.37191590704150.6280840929589
109500380.593991174986119.406008825014
110451385.03484577745565.9651542225447
111375383.350167842388-8.3501678423885
112372392.231877047328-20.2318770473279
113302380.593991174986-78.5939911749855
114316375.08163784018-59.0816378401796
115398383.35016784238814.6498321576115
116394396.059552447067-2.05955244706716
117431392.23187704732838.7681229526721
118431393.30337577966437.6966242203358


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
70.0022046720746770.004409344149354010.997795327925323
80.0004333910541931530.0008667821083863050.999566608945807
94.94024426856605e-059.88048853713211e-050.999950597557314
109.01598454970996e-061.80319690994199e-050.99999098401545
113.54383361349545e-067.08766722699091e-060.999996456166387
129.80813786087593e-071.96162757217519e-060.999999019186214
131.16889077738975e-072.3377815547795e-070.999999883110922
141.75988962404856e-083.51977924809712e-080.999999982401104
152.2300097735513e-094.46001954710259e-090.99999999776999
165.30015057331134e-081.06003011466227e-070.999999946998494
171.41013416474686e-082.82026832949371e-080.999999985898658
182.3248496482684e-094.6496992965368e-090.99999999767515
194.20559698910459e-108.41119397820917e-100.99999999957944
202.21356247105585e-104.4271249421117e-100.999999999778644
214.60802095234789e-119.21604190469578e-110.99999999995392
227.36265188404426e-121.47253037680885e-110.999999999992637
238.74582156228662e-121.74916431245732e-110.999999999991254
244.51105498027393e-109.02210996054786e-100.999999999548895
259.91369168573524e-111.98273833714705e-100.999999999900863
263.18885300091856e-116.37770600183712e-110.999999999968112
279.47436687852115e-121.89487337570423e-110.999999999990526
286.20034405057066e-121.24006881011413e-110.9999999999938
291.10973359246704e-112.21946718493408e-110.999999999988903
302.59048638659272e-125.18097277318543e-120.99999999999741
311.16678750162273e-112.33357500324547e-110.999999999988332
322.84415072717712e-095.68830145435424e-090.999999997155849
337.35377223137752e-091.4707544462755e-080.999999992646228
343.14303956035819e-096.28607912071639e-090.99999999685696
358.21997847564403e-091.64399569512881e-080.999999991780022
369.6605345892951e-081.93210691785902e-070.999999903394654
378.56519107393446e-081.71303821478689e-070.999999914348089
383.37041311939777e-086.74082623879553e-080.999999966295869
391.75205903778851e-083.50411807557702e-080.99999998247941
409.74958943405797e-091.94991788681159e-080.999999990250411
414.09316978935331e-098.18633957870662e-090.99999999590683
421.07149741081167e-082.14299482162334e-080.999999989285026
434.36138413514078e-098.72276827028157e-090.999999995638616
441.90045691853551e-093.80091383707102e-090.999999998099543
457.67845118322256e-101.53569023664451e-090.999999999232155
466.99411154817704e-101.39882230963541e-090.999999999300589
474.22015691602696e-108.44031383205392e-100.999999999577984
485.04973531852104e-101.00994706370421e-090.999999999495026
491.08392707617795e-092.16785415235589e-090.999999998916073
501.36148096348056e-092.72296192696111e-090.999999998638519
519.37518636511262e-101.87503727302252e-090.999999999062481
521.58315988221575e-093.1663197644315e-090.99999999841684
531.7284618067784e-093.45692361355681e-090.999999998271538
541.02089826495251e-092.04179652990502e-090.999999998979102
557.31244292606487e-101.46248858521297e-090.999999999268756
563.69403778512301e-097.38807557024603e-090.999999996305962
572.89612516824508e-075.79225033649016e-070.999999710387483
584.47244636087128e-078.94489272174257e-070.999999552755364
593.24415380527887e-076.48830761055774e-070.999999675584619
602.32852741249882e-074.65705482499764e-070.999999767147259
613.81472727533002e-077.62945455066003e-070.999999618527272
622.18689632822567e-074.37379265645133e-070.999999781310367
631.45878906797658e-072.91757813595316e-070.999999854121093
641.13682868808951e-072.27365737617902e-070.999999886317131
658.97703508337163e-081.79540701667433e-070.999999910229649
661.12082442129893e-072.24164884259786e-070.999999887917558
673.53587366678376e-067.07174733356752e-060.999996464126333
683.74775829677088e-067.49551659354177e-060.999996252241703
693.58298086226388e-067.16596172452776e-060.999996417019138
702.30843608526838e-054.61687217053676e-050.999976915639147
715.79244436299544e-050.0001158488872599090.99994207555637
720.0001524622410895430.0003049244821790860.99984753775891
730.0001113494354934310.0002226988709868620.999888650564507
740.0001022303956051640.0002044607912103280.999897769604395
758.44056444266688e-050.0001688112888533380.999915594355573
760.0001364940943250140.0002729881886500280.999863505905675
770.000119563536502490.000239127073004980.999880436463498
787.58401303661938e-050.0001516802607323880.999924159869634
790.000476255076633240.0009525101532664790.999523744923367
800.001046160768848870.002092321537697750.998953839231151
810.00120218720271370.00240437440542740.998797812797286
820.0007519749633438940.001503949926687790.999248025036656
830.0004729897526417940.0009459795052835870.999527010247358
840.0006281991519426650.001256398303885330.999371800848057
850.0003827740400674310.0007655480801348630.999617225959933
860.0002681549324866620.0005363098649733240.999731845067513
870.0001657548079776810.0003315096159553620.999834245192022
880.0004265049465157370.0008530098930314740.999573495053484
890.0002731285940188490.0005462571880376970.999726871405981
900.0001670614596358780.0003341229192717570.999832938540364
910.0001083959790140680.0002167919580281360.999891604020986
920.0003302369602091830.0006604739204183660.999669763039791
930.0001954931966157550.000390986393231510.999804506803384
940.0001657577483368930.0003315154966737860.999834242251663
950.0001957610141077930.0003915220282155850.999804238985892
960.0001335628418473540.0002671256836947080.999866437158153
977.42722114232502e-050.00014854442284650.999925727788577
985.08896419748873e-050.0001017792839497750.999949110358025
996.70307571522525e-050.0001340615143045050.999932969242848
1000.001105956021703570.002211912043407130.998894043978296
1010.0106855672594310.0213711345188620.989314432740569
1020.02534859950951130.05069719901902250.974651400490489
1030.02761848814333110.05523697628666220.972381511856669
1040.03572713884719930.07145427769439860.964272861152801
1050.05375717926276810.1075143585255360.946242820737232
1060.09534647659312980.190692953186260.90465352340687
1070.07309121055350110.1461824211070020.926908789446499
1080.0453400014261630.0906800028523260.954659998573837
1090.3724764087056020.7449528174112040.627523591294398
1100.5859741795542190.8280516408915610.414025820445781
1110.4331701627361850.8663403254723690.566829837263815


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level940.895238095238095NOK
5% type I error level950.904761904761905NOK
10% type I error level990.942857142857143NOK