Multiple Linear Regression - Estimated Regression Equation
Bioscoop[t] = -174.117057776153 -0.222841174760967Schouwburgabonnement[t] -0.0355988545204673Eendagsattracties[t] + 1.94413794987771DVDhuren[t] + 1.04536917079402Cultuuruitgaven[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-174.11705777615342.558301-4.09130.0001477.3e-05
Schouwburgabonnement-0.2228411747609670.171312-1.30080.1989560.099478
Eendagsattracties-0.03559885452046730.23151-0.15380.8783770.439188
DVDhuren1.944137949877710.5145863.77810.0004020.000201
Cultuuruitgaven1.045369170794020.3839452.72270.0087460.004373


Multiple Linear Regression - Regression Statistics
Multiple R0.958447028955654
R-squared0.91862070731392
Adjusted R-squared0.91247887390365
F-TEST (value)149.567831940513
F-TEST (DF numerator)4
F-TEST (DF denominator)53
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation1.93511710571984
Sum Squared Residuals198.467945281025


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1101.8299.12899089154182.69100910845817
2101.6899.88331436271931.79668563728074
3101.6899.81600253643211.8639974635679
4102.45100.2093412226132.24065877738671
5102.45100.6863880222921.76361197770813
6102.45100.7386564808321.71134351916843
7102.45100.8089003149531.64109968504704
8102.45100.5515727054291.89842729457067
9102.45100.468078067731.98192193227048
10102.52101.0183007093641.50169929063628
11102.52101.3546681765111.16533182348867
12102.85102.1097583048410.740241695158778
13102.85102.5256775614110.324322438588775
14102.85102.739341071610.110658928390464
15103.25104.025212462075-0.775212462074822
16103.25104.54942325109-1.29942325109008
17103.25104.793173496783-1.54317349678332
18103.25104.793173496783-1.54317349678332
19104.45105.117237939729-0.667237939729463
20104.45105.934283561154-1.48428356115413
21104.45105.63955605206-1.18955605206033
22104.8105.733639277432-0.933639277431806
23104.8104.2962515341510.503748465848818
24105.29104.8712045780880.418795421912119
25105.29105.487366581976-0.197366581975724
26105.29105.862233479544-0.572233479544481
27105.29106.289943828518-0.999943828517574
28106.04106.49723627926-0.457236279260278
29105.94106.539051046092-0.599051046092054
30105.94107.240023383389-1.30002338338867
31105.94108.192267650252-2.25226765025234
32106.28109.178805000074-2.898805000074
33106.48108.831938448889-2.35193844888933
34107.19109.482299995852-2.29229999585161
35108.14109.764549671966-1.624549671966
36108.22109.620938331601-1.40093833160082
37108.22109.894583648501-1.67458364850079
38108.61110.358944095401-1.74894409540147
39108.61110.786462780086-2.17646278008635
40108.61111.232294231551-2.6222942315512
41108.61111.404142974918-2.79414297491778
42109.06112.449512145712-3.3895121457118
43109.06113.186818562748-4.1268185627482
44112.93113.926290330466-0.99629033046596
45115.84116.624235092372-0.784235092371691
46118.57118.1523843708090.417615629191263
47118.57117.9566962361920.613303763807932
48118.86118.1375326673490.722467332650511
49118.98118.1584400507650.821559949234639
50119.27118.5228532566260.747146743373847
51119.39116.1614586494833.2285413505167
52119.49116.8110531048642.67894689513567
53119.59116.8154511166162.77454888338434
54120.12117.2306667770992.88933322290094
55120.14117.4830213820072.65697861799328
56120.14117.6022183382572.53778166174283
57120.14117.7433773958942.39662260410551
58120.14118.2827630172441.85723698275572


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
81.13598124113878e-062.27196248227755e-060.999998864018759
99.70252128244858e-091.94050425648972e-080.999999990297479
102.52824073214198e-095.05648146428396e-090.99999999747176
115.54012850145283e-111.10802570029057e-100.9999999999446
121.5991809348111e-093.1983618696222e-090.99999999840082
132.97258277185911e-105.94516554371821e-100.999999999702742
141.93145792500856e-113.86291585001713e-110.999999999980685
151.38598836815997e-122.77197673631995e-120.999999999998614
162.49644826937591e-104.99289653875182e-100.999999999750355
171.21167577926627e-102.42335155853255e-100.999999999878832
182.39715237498904e-114.79430474997807e-110.999999999976029
196.10354653733504e-091.22070930746701e-080.999999993896453
201.55240657835638e-093.10481315671275e-090.999999998447593
213.87622631678974e-107.75245263357947e-100.999999999612377
222.05100380557812e-104.10200761115624e-100.9999999997949
231.68989075731177e-103.37978151462355e-100.99999999983101
242.46514572704537e-104.93029145409075e-100.999999999753485
251.30323316801616e-102.60646633603231e-100.999999999869677
265.85939582691572e-111.17187916538314e-100.999999999941406
271.53441913446699e-113.06883826893398e-110.999999999984656
281.25077354724212e-112.50154709448423e-110.999999999987492
291.90926202867972e-113.81852405735943e-110.999999999980907
302.16696546353225e-114.33393092706449e-110.99999999997833
311.41703728469257e-112.83407456938513e-110.99999999998583
325.51593918058384e-121.10318783611677e-110.999999999994484
332.45292467131184e-124.90584934262368e-120.999999999997547
341.26589138451631e-122.53178276903262e-120.999999999998734
359.01542954649426e-111.80308590929885e-100.999999999909846
368.1674834475354e-101.63349668950708e-090.999999999183252
372.70869271842361e-095.41738543684723e-090.999999997291307
384.07929231129995e-098.1585846225999e-090.999999995920708
391.19246499472265e-082.3849299894453e-080.99999998807535
405.98593285585884e-091.19718657117177e-080.999999994014067
414.09608423020599e-098.19216846041197e-090.999999995903916
421.80530425354025e-093.61060850708049e-090.999999998194696
434.64181317624204e-079.28362635248407e-070.999999535818682
440.2255561614951290.4511123229902580.774443838504871
450.9999334565905620.0001330868188768286.65434094384139e-05
460.9999846525967583.06948064850125e-051.53474032425063e-05
470.9999862639476792.74721046426296e-051.37360523213148e-05
480.9999294728029980.0001410543940034937.05271970017467e-05
490.9994782074725250.001043585054949380.000521792527474692
500.9959076312624390.00818473747512270.00409236873756135


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level420.976744186046512NOK
5% type I error level420.976744186046512NOK
10% type I error level420.976744186046512NOK