Multiple Linear Regression - Estimated Regression Equation
Vrijetijdsbesteding[t] = + 29.7574433780093 + 0.117381875008497Bioscoop[t] + 0.351226236672808Schouwburgabonn[t] + 0.441727025825751Daguitstap[t] -0.18690047239566HuurDVD[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)29.757443378009315.8397751.87870.0657970.032898
Bioscoop0.1173818750084970.0431122.72270.0087460.004373
Schouwburgabonn0.3512262366728080.03275710.722100
Daguitstap0.4417270258257510.0483679.132800
HuurDVD-0.186900472395660.192568-0.97060.3361710.168085


Multiple Linear Regression - Regression Statistics
Multiple R0.993690183423486
R-squared0.987420180632202
Adjusted R-squared0.986470760302557
F-TEST (value)1040.02426512322
F-TEST (DF numerator)4
F-TEST (DF denominator)53
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.64844467642285
Sum Squared Residuals22.2854664142002


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1101.76102.106779395192-0.346779395192159
2102.37102.0791319043470.290868095652856
3102.38102.0866079232430.293392076757025
4102.86103.283178536288-0.423178536287848
5102.87103.238322422913-0.368322422912886
6102.92103.238322422913-0.318322422912889
7102.95103.234584413465-0.284584413464973
8103.02103.266357493772-0.246357493772242
9104.08105.115676503395-1.03567650339517
10104.16105.079037121271-0.919037121270802
11104.24105.054740059859-0.814740059859369
12104.33105.029929917998-0.699929917997644
13104.73105.033442180364-0.303442180364368
14104.86105.025966161469-0.165966161468548
15105.03104.9663856422060.063614357793582
16105.62106.114875909353-0.494875909353371
17105.63106.092447852666-0.462447852665902
18105.63106.092447852666-0.462447852665902
19105.94106.233306102676-0.293306102676097
20106.61106.2220920743320.387907925667645
21107.69108.350974562732-0.660974562731947
22107.78108.392058218985-0.612058218984917
23107.93108.545316606349-0.615316606349354
24108.48108.602833725104-0.122833725103521
25108.14107.071487333211.06851266678992
26108.48107.0696183284861.41038167151388
27108.48107.0285002245591.45149977544093
28108.89108.4264281150870.463571884913104
29108.93108.4146899275860.515310072413961
30109.21108.3754408283830.834559171617035
31109.47108.3100256630441.15997433695552
32109.8108.2882583446571.5117416553432
33111.73111.5204619842120.2095380157881
34111.85111.5533399879210.296660012078889
35112.12111.6648527691790.455147230820827
36112.15111.6910643616950.458935638304538
37112.17111.6667673002840.503232699715969
38112.67111.7181532457090.951846754290785
39112.8111.690118174851.10988182515013
40113.44114.459746626777-1.01974662677732
41113.53114.452270607881-0.922270607881493
42114.53114.5050924516350.024907548364684
43114.51114.4322012674010.077798732598993
44115.05114.8696480811680.180351918831711
45116.67116.994545333775-0.324545333775096
46117.07117.119240513553-0.0492405135529805
47116.92117.122978523001-0.202978523000887
48117117.147674243134-0.147674243133568
49117.02117.161760068135-0.141760068134593
50117.35117.1939318071630.156068192836897
51117.36117.436036208487-0.076036208486823
52117.82118.465953115525-0.645953115525015
53117.88118.483298317198-0.60329831719773
54118.24118.541772701504-0.301772701504322
55118.5118.545989343728-0.045989343728444
56118.8118.5646793909680.235320609031988
57119.76119.923924926892-0.163924926891774
58120.09119.9052348796520.184765120347789


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
80.001840348386726520.003680696773453050.998159651613273
90.0001876940402266740.0003753880804533480.999812305959773
100.0003725810209627470.0007451620419254940.999627418979037
118.97282530086277e-050.0001794565060172550.999910271746991
120.0006695647144801610.001339129428960320.99933043528552
130.001408724228415410.002817448456830830.998591275771585
140.001240587244373910.002481174488747810.998759412755626
150.0004178811977983820.0008357623955967650.999582118802202
160.0002159165303094140.0004318330606188270.99978408346969
170.0001004502691106640.0002009005382213270.99989954973089
185.1389604324615e-050.000102779208649230.999948610395675
193.29743811755183e-056.59487623510367e-050.999967025618824
200.0002094104361856380.0004188208723712760.999790589563814
210.0002442619592296080.0004885239184592170.99975573804077
220.0004199271708962240.0008398543417924470.999580072829104
230.005405555505620960.01081111101124190.994594444494379
240.03643363509945140.07286727019890290.963566364900549
250.1701772591926810.3403545183853630.829822740807319
260.3466112813423910.6932225626847830.653388718657609
270.3997314594137210.7994629188274420.600268540586279
280.3943344774668790.7886689549337590.605665522533121
290.4105483871243420.8210967742486850.589451612875658
300.3965751724437240.7931503448874480.603424827556276
310.3761418230804890.7522836461609770.623858176919511
320.396739792065370.793479584130740.60326020793463
330.3960056126914690.7920112253829390.603994387308531
340.3805606377640710.7611212755281410.61943936223593
350.5430713860436390.9138572279127220.456928613956361
360.6072943018121060.7854113963757890.392705698187895
370.6331483813959840.7337032372080310.366851618604016
380.5621935038251720.8756129923496570.437806496174828
390.499473746560960.998947493121920.50052625343904
400.7528878141751890.4942243716496220.247112185824811
410.9430628147221080.1138743705557840.0569371852778919
420.907556447360910.1848871052781780.092443552639089
430.8585824444953270.2828351110093460.141417555504673
440.9903491418380770.01930171632384530.00965085816192266
450.999085886674350.001828226651298520.000914113325649258
460.9989889691285680.002022061742864580.00101103087143229
470.998241481276370.003517037447258540.00175851872362927
480.994026628272750.0119467434544980.00597337172724902
490.9786145134763470.04277097304730620.0213854865236531
500.9372173466820380.1255653066359250.0627826533179623


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level180.418604651162791NOK
5% type I error level220.511627906976744NOK
10% type I error level230.534883720930233NOK