Multiple Linear Regression - Estimated Regression Equation
Prijs[t] = -424.990392478357 + 0.00493114310689804Geheugen[t] + 5.81527505280098Gewicht[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-424.99039247835757.758079-7.358100
Geheugen0.004931143106898040.0017972.74420.0080970.004048
Gewicht5.815275052800980.55530610.472200


Multiple Linear Regression - Regression Statistics
Multiple R0.873355208862287
R-squared0.762749320846888
Adjusted R-squared0.754424735613446
F-TEST (value)91.6261050199451
F-TEST (DF numerator)2
F-TEST (DF denominator)57
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation87.594175149392
Sum Squared Residuals437346.152645835


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1129.99121.7933967781438.19660322185683
259.9972.2747982534099-12.2847982534099
349.9975.197229209131-25.207229209131
484.99121.842708209211-36.8527082092114
5179.99211.399333547682-31.409333547682
6329.99268.60877841250661.3812215874939
725.99-6.2116903869758632.2016903869759
8499.99428.59725976896571.392740231035
989.99172.854400951332-82.8644009513324
10119.99155.472680653319-35.4826806533191
1179.9940.862798063404639.1272019365954
12199.99192.6911357539137.29886424608687
13449.99285.735536598729164.254463401271
14549.99530.99346345019418.9965365498065
15529.99399.52088450496130.46911549504
16639.99468.046404624149171.943595375851
17749.99546.944694334518203.045305665482
18399.99360.71278825367339.2772117463275
19169.99210.136960912316-40.1469609123161
20189.99399.52088450496-209.53088450496
21199.99399.52088450496-199.53088450496
2269.9998.4829851358695-28.4929851358695
2369.9998.4829851358695-28.4929851358695
24109.9946.071542514057163.9184574859429
25159.99180.429399330628-20.4393993306282
26159.99180.429399330628-20.4393993306282
27199.99365.002882756674-165.012882756674
287546.194821091729628.8051789082704
29349.99310.25900944529939.7309905547013
30439.99428.59725976896511.392740231035
31309.99275.36735912849334.6226408715072
32379.99275.367359128493104.622640871507
33349.99217.214608600483132.775391399517
34169.99204.321685859515-34.3316858595151
35239.99273.789393334285-33.7993933342855
36229.99263.736809022891-33.7468090228909
3769.9969.6235801685680.366419831431951
3899.99121.744085347073-21.7540853470734
3929.99-2.7619745001505132.7519745001505
4039.9928.660235357402511.3297646425975
4121.99-46.95806490143868.9480649014379
42499.99331.291232972185168.698767027815
4329.99-17.916207639181347.9062076391813
4429.9931.5284237389478-1.53842373894779
4549.99118.895621537956-68.9056215379557
4649.9940.28092317679069.70907682320938
4755.9933.302593113429422.6874068865706
4859.99100.173325077534-40.1833250775339
4979.9985.1571639454962-5.16716394549621
50139.99197.4955264698-57.5055264698
51159.99177.2826519841-17.2926519841001
52169.99174.209770543062-4.2197705430616
53229.99465.530843595304-235.540843595304
54249.99223.80485240650826.185147593492
55309.99320.627186915535-10.6371869155348
56499.99421.52420420174178.4657957982586
5765.99121.679980486684-55.6899804866837
5889.99220.741833251683-130.751833251683
5989.99127.953851848426-37.9638518484262
60449.99555.275530416164-105.285530416164


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
60.02582570418694990.05165140837389980.97417429581305
70.005885898110544310.01177179622108860.994114101889456
80.02203138481002640.04406276962005270.977968615189974
90.02925379208195630.05850758416391270.970746207918044
100.01232834642105240.02465669284210470.987671653578948
110.006753958415911990.0135079168318240.993246041584088
120.003264221656608960.006528443313217920.996735778343391
130.08462787521565910.1692557504313180.915372124784341
140.06371432884529740.1274286576905950.936285671154703
150.05661756484139860.1132351296827970.943382435158601
160.05209868978341490.104197379566830.947901310216585
170.1309526928467780.2619053856935560.869047307153222
180.09450121043243630.1890024208648730.905498789567564
190.07950866955777450.1590173391155490.920491330442226
200.7668973319149450.466205336170110.233102668085055
210.9639638557384490.07207228852310190.0360361442615509
220.947615304816370.1047693903672610.0523846951836303
230.9261067284635170.1477865430729650.0738932715364827
240.9118730139691290.1762539720617420.0881269860308708
250.8779883547203310.2440232905593390.122011645279669
260.8361387830580440.3277224338839110.163861216941956
270.9315095880743720.1369808238512570.0684904119256284
280.9042741635972210.1914516728055580.0957258364027788
290.880339281956870.2393214360862590.11966071804313
300.8413053994514960.3173892010970090.158694600548504
310.8026344197734230.3947311604531530.197365580226577
320.8439555142823340.3120889714353330.156044485717666
330.9180728077110940.1638543845778120.081927192288906
340.8882233928012880.2235532143974240.111776607198712
350.8492119970761920.3015760058476150.150788002923808
360.8026195078750540.3947609842498930.197380492124946
370.7412378666369860.5175242667260280.258762133363014
380.6767686162339750.646462767532050.323231383766025
390.6054755234983950.7890489530032110.394524476501605
400.5230863513350910.9538272973298190.476913648664909
410.4865164769912770.9730329539825540.513483523008723
420.8360693024584520.3278613950830950.163930697541548
430.793461084576330.4130778308473410.20653891542367
440.721541360174340.556917279651320.27845863982566
450.6806392023149320.6387215953701360.319360797685068
460.5913763902992790.8172472194014430.408623609700721
470.5052240704677240.9895518590645520.494775929532276
480.4133342275970.8266684551940.586665772403
490.3142768512737760.6285537025475520.685723148726224
500.2376322595403520.4752645190807040.762367740459648
510.1860702519546760.3721405039093530.813929748045324
520.1171698177000590.2343396354001190.882830182299941
530.5934183641212830.8131632717574340.406581635878717
540.4296096821188290.8592193642376590.570390317881171


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level10.0204081632653061NOK
5% type I error level50.102040816326531NOK
10% type I error level80.163265306122449NOK