Multiple Linear Regression - Estimated Regression Equation
Eendagsattracties[t] = -81.283726637103 -0.0643130276182469Bioscoop[t] -0.427201176091097Schouwburgabonnement[t] + 0.42473910932952HuurvaneenDVD[t] + 1.8217064126921`And.dienstenrecr.&cultuur`[t] -0.104368938422877t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-81.28372663710345.490792-1.78680.0797970.039898
Bioscoop-0.06431302761824690.096705-0.6650.5089610.254481
Schouwburgabonnement-0.4272011760910970.103081-4.14430.0001266.3e-05
HuurvaneenDVD0.424739109329520.3399721.24930.2171370.108569
`And.dienstenrecr.&cultuur`1.82170641269210.4654573.91380.0002650.000133
t-0.1043689384228770.104995-0.9940.3248080.162404


Multiple Linear Regression - Regression Statistics
Multiple R0.979106475949625
R-squared0.958649491246493
Adjusted R-squared0.954673480789425
F-TEST (value)241.108392846992
F-TEST (DF numerator)5
F-TEST (DF denominator)52
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation1.14802596690307
Sum Squared Residuals68.5341082755535


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
193.6393.9948223328667-0.36482233286675
293.6395.0361824766126-1.40618247661258
393.6394.9330410379434-1.30304103794344
496.1395.64932275525340.480677244746571
596.1395.66510826719660.464891732803438
696.1395.65182464940830.478175350591712
796.1395.61060168555280.51939831444723
896.1395.56154654743230.568453452567691
996.1395.13686082913060.993139170869396
1096.1395.27566387802890.854336121971097
1196.1395.37224753683420.757752463165774
1296.1395.55502017361170.574979826388338
1396.1396.1750617885047-0.0450617885047232
1496.1396.324504248105-0.194504248104989
1596.1396.7462014811103-0.616201481110303
1698.7397.71663932617581.01336067382424
1798.7397.68145614499931.04854385500067
1898.7397.57708720657651.15291279342355
1998.7397.96027162294620.769728377053766
2098.7399.1019303275868-0.371930327586841
2198.7398.3677196469080.362280353091971
2298.7398.4047947259610.325205274038938
2398.7398.22539567979180.5046043202082
2498.7399.0914518848166-0.361451884816633
2598.73100.230299893836-1.50029989383562
2698.73100.749558526821-2.01955852682136
2798.73100.738632192451-2.00863219245097
28101.67101.3074437659580.362556234041603
29101.67101.2823743868050.387625613194959
30101.67101.777278456895-0.107278456895125
31101.67102.295211874038-0.62521187403754
32101.67102.910303528492-1.24030352849159
33101.67102.370613689498-0.700613689498008
34101.67102.553866830508-0.883866830508186
35101.67102.880261247275-1.21026124727486
36101.67102.787171939184-1.11717193918363
37101.67102.774453213227-1.10445321322742
38101.67103.5431132271-1.8731132270996
39101.67103.739276988726-2.06927698872611
40107.94104.8008001544263.13919984557381
41107.94104.8773743575193.06262564248121
42107.94106.565770969361.37422903064019
43107.94106.5906161553221.3493838446784
44107.94107.2593037827090.680696217290513
45107.94107.980846376675-0.0408463766750154
46107.94108.774288874514-0.834288874513695
47107.94108.388169192-0.448169192000423
48107.94108.43212294405-0.4921229440501
49107.94108.356470570567-0.416470570566868
50107.94108.838861361416-0.898861361416381
51107.94108.226810210424-0.286810210424231
52110.3109.0092110032911.29078899670928
53110.3108.9949709735881.30502902641233
54110.3109.5208252212830.779174778717133
55110.3109.8845662985140.415433701485716
56110.3110.2842353729660.0157646270339175
57110.3110.2754360392550.0245639607449071
58110.3110.814704127954-0.514704127953556


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
91.0932548537229e-062.18650970744581e-060.999998906745146
102.72627639846001e-055.45255279692002e-050.999972737236015
111.94194921276017e-063.88389842552035e-060.999998058050787
120.0001296285636676120.0002592571273352250.999870371436332
130.0001359962843323590.0002719925686647170.999864003715668
144.43212445887518e-058.86424891775037e-050.999955678755411
151.20419053190271e-052.40838106380542e-050.99998795809468
160.001895650218439340.003791300436878670.99810434978156
170.003363979174775580.006727958349551170.996636020825224
180.003574566350145680.007149132700291370.996425433649854
190.008395920422990050.01679184084598010.99160407957701
200.02118095251790490.04236190503580970.978819047482095
210.01429258819429790.02858517638859570.985707411805702
220.01204341435481360.02408682870962720.987956585645186
230.01936085262310590.03872170524621190.980639147376894
240.02687578937222520.05375157874445040.973124210627775
250.03582424376132170.07164848752264330.964175756238678
260.03452724904201840.06905449808403680.965472750957982
270.03448919190895430.06897838381790870.965510808091046
280.06141329999126790.1228265999825360.938586700008732
290.07392290867735150.1478458173547030.926077091322648
300.06018117857207650.1203623571441530.939818821427924
310.03914113077074810.07828226154149620.960858869229252
320.04815338152572140.09630676305144280.951846618474279
330.03434736845962180.06869473691924360.965652631540378
340.02175870371093140.04351740742186290.978241296289069
350.01507516714504380.03015033429008760.984924832854956
360.009456309863495380.01891261972699080.990543690136505
370.006000072161643750.01200014432328750.993999927838356
380.01441885642934220.02883771285868430.985581143570658
390.8912035346375220.2175929307249560.108796465362478
400.9902483131360870.01950337372782630.00975168686391314
410.9967415003035980.00651699939280330.00325849969640165
420.993580777278590.01283844544282150.00641922272141073
430.9890819137328020.02183617253439560.0109180862671978
440.9833935972285270.03321280554294670.0166064027714734
450.964378922460740.07124215507851910.0356210775392595
460.9296296322648590.1407407354702830.0703703677351414
470.8636050690691710.2727898618616580.136394930930829
480.7538184796734160.4923630406531690.246181520326584
490.5985979973265020.8028040053469950.401402002673498


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level110.268292682926829NOK
5% type I error level250.609756097560976NOK
10% type I error level330.804878048780488NOK