Multiple Linear Regression - Estimated Regression Equation
Prijs[t] = -322.58694197154 + 0.00514787064784414Geheugen[t] + 4.68681735490495Gewicht[t] -2.82360601880905Batterij[t] + 69.4417009327331WiFi[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-322.5869419715477.149675-4.18130.0001055.2e-05
Geheugen0.005147870647844140.0017812.89080.0054920.002746
Gewicht4.686817354904950.7508946.241700
Batterij-2.823606018809053.698535-0.76340.4484640.224232
WiFi69.441700932733132.4862442.13760.0370120.018506


Multiple Linear Regression - Regression Statistics
Multiple R0.884102158206179
R-squared0.781636626144823
Adjusted R-squared0.76575565350081
F-TEST (value)49.2184353985082
F-TEST (DF numerator)4
F-TEST (DF denominator)55
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation85.5495001122596
Sum Squared Residuals402529.433320163


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1129.99150.863148197177-20.873148197177
259.9959.37367619427280.616323805727191
349.9960.7913264783404-10.8013264783404
484.9997.0027590743716-12.0127590743716
5179.99216.587667125989-36.597667125989
6329.99265.26692252960864.7230774703919
725.99-14.701589685512840.6915896855128
8499.99427.25051771778572.7394822822147
989.99133.841463037943-43.8514630379427
10119.99111.3771152352238.61288476477732
1179.9988.5758025708049-8.58580257080489
12199.99232.269026382326-32.2790263823255
13449.99303.022695032591146.967304967409
14549.99506.49400258881743.4959974111827
15529.99386.874794830406143.115205169594
16639.99465.609876881729174.380123118271
17749.99547.975807247236202.014192752764
18399.99363.30268894472736.6873110552728
19169.99239.270463400018-69.2804634000178
20189.99406.64003696207-216.65003696207
21199.99406.64003696207-206.65003696207
2269.9986.623350298222-16.633350298222
2369.9986.623350298222-16.633350298222
24109.99116.630082995902-6.6400829959019
25159.99221.530562724889-61.5405627248893
26159.99221.530562724889-61.5405627248893
27199.99356.486912333115-156.496912333115
287545.905275819960429.0947241800396
29349.99323.08781933805926.9021806619409
30439.99435.7213357742124.26866422578751
31309.99292.1433091898217.8466908101797
32379.99286.49609715220293.4939028477978
33349.99245.275135640771104.714864359229
34169.99165.141945112384.84805488762026
35239.99287.672384563701-47.6823845637012
36229.99282.76967448001-52.7796744800104
3769.9959.180360803988810.8096391960112
3899.9998.31160467081921.6783953291808
3929.99-18.989697284775348.9796972847753
4039.9931.75216208358438.23783791641567
4121.99-46.138691125625768.1286911256257
42499.99347.979069281281152.010930718719
4329.99-7.2108063421860937.2008063421861
4429.9921.29168859083728.69831140916281
4549.99101.112461274997-51.1224612749971
4649.9941.11550105209858.87449894790146
4755.9917.420241705834738.5697582941653
4859.9986.5609659181627-26.5709659181627
4979.9968.271412837634711.7185871623653
50139.99158.270371867143-18.2803718671431
51159.99147.70927810970412.2807218902965
52169.99209.221424628898-39.2314246288981
53229.99467.395252378878-237.405252378878
54249.99265.939941956912-15.9499419569124
55309.99313.354881243524-3.36488124352394
56499.99432.35074707070367.6392529292966
5765.9992.5974703147791-26.6074703147791
5889.99182.649409712438-92.6594097124375
5989.99113.857593947145-23.8675939471452
60449.99527.441319148877-77.4513191488766


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
80.0760967689842340.1521935379684680.923903231015766
90.04116477714852340.08232955429704680.958835222851477
100.01358692620225360.02717385240450710.986413073797746
110.004183414783494260.008366829566988520.995816585216506
120.00219859412961480.004397188259229610.997801405870385
130.07715503869210020.15431007738420.9228449613079
140.04996270027813110.09992540055626220.950037299721869
150.0527726899804730.1055453799609460.947227310019527
160.04682002695666830.09364005391333650.953179973043332
170.127027249790970.2540544995819410.87297275020903
180.08949011486826530.1789802297365310.910509885131735
190.1189342929188150.237868585837630.881065707081185
200.8805294397111540.2389411205776920.119470560288846
210.9892120668648590.02157586627028190.010787933135141
220.9823772279964440.03524554400711140.0176227720035557
230.972159039884470.055681920231060.02784096011553
240.9642850801565480.07142983968690340.0357149198434517
250.9607119469389050.07857610612219010.0392880530610951
260.9631981421230890.07360371575382280.0368018578769114
270.9913067198068910.01738656038621810.00869328019310903
280.9863283878001120.02734322439977660.0136716121998883
290.9799363327048220.04012733459035580.0200636672951779
300.9685245737009290.06295085259814120.0314754262990706
310.953645525264930.09270894947014040.0463544747350702
320.9585260751120490.08294784977590210.041473924887951
330.9670090968211780.06598180635764410.032990903178822
340.949919578283530.100160843432940.05008042171647
350.9390019278234460.1219961443531080.0609980721765539
360.9397702277551240.1204595444897520.0602297722448761
370.9093905547212040.1812188905575920.090609445278796
380.8680333208941140.2639333582117710.131966679105886
390.8312186104265570.3375627791468860.168781389573443
400.7711961091373640.4576077817252720.228803890862636
410.7393088098616990.5213823802766030.260691190138301
420.8923110780525150.215377843894970.107688921947485
430.8445819777598740.3108360444802510.155418022240126
440.7762937596515930.4474124806968140.223706240348407
450.720353910540080.559292178919840.27964608945992
460.6229969425262280.7540061149475440.377003057473772
470.5429074334926810.9141851330146380.457092566507319
480.4364580215746620.8729160431493240.563541978425338
490.3258243843082360.6516487686164730.674175615691764
500.2201983865812020.4403967731624050.779801613418798
510.4348363834247630.8696727668495260.565163616575237
520.6057080869306650.788583826138670.394291913069335


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level20.0444444444444444NOK
5% type I error level80.177777777777778NOK
10% type I error level190.422222222222222NOK