Multiple Linear Regression - Estimated Regression Equation
Fondsen[t] = -4.86463515907107 + 0.0122869122501887TotaalCrimFeiten[t] + 0.00578459719973145GerappFeit[t] + 0.279900539728065`Crim25+MD`[t] + 0.626771136239096`Crim16-19ZD`[t] -0.194463485858461`Crim18-24HD`[t] + 0.719450183102083`Crim25+HD`[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-4.8646351590710720.553818-0.23670.8140310.407015
TotaalCrimFeiten0.01228691225018870.0082441.49050.1433990.071699
GerappFeit0.005784597199731450.0042471.3620.1802880.090144
`Crim25+MD`0.2799005397280650.2878080.97250.3362290.168115
`Crim16-19ZD`0.6267711362390960.4246251.47610.1472140.073607
`Crim18-24HD`-0.1944634858584610.18889-1.02950.3089970.154499
`Crim25+HD`0.7194501831020830.5844341.2310.2250060.112503


Multiple Linear Regression - Regression Statistics
Multiple R0.679884178932928
R-squared0.462242496763302
Adjusted R-squared0.387206566079112
F-TEST (value)6.16028204819339
F-TEST (DF numerator)6
F-TEST (DF denominator)43
p-value0.000100998924599915
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation10.8187359057102
Sum Squared Residuals5032.93700369264


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
14038.04063282020591.95936717979409
23234.0727134590393-2.07271345903932
35744.317810035273312.6821899647267
43138.1688864878922-7.16888648789223
56743.945853685764123.0541463142359
62532.6646951902045-7.66469519020454
73434.9218936991366-0.921893699136615
83330.40488048823882.59511951176118
93628.03718057427237.96281942572767
103126.80315813611634.19684186388374
113529.47840785557085.5215921444292
123043.4384087840375-13.4384087840375
134427.965734531717816.0342654682822
143235.811850503635-3.81185050363497
153028.44110978258831.55889021741175
161627.197217662044-11.197217662044
172929.9787230142919-0.978723014291905
183626.77570988585629.22429011414381
193035.7760776953958-5.77607769539584
202327.1547771805504-4.15477718055036
213334.0108662501971-1.01086625019713
223528.77459801859926.2254019814008
233835.54520605686242.45479394313755
244437.03500263933876.96499736066128
252836.5673374660034-8.56733746600342
263531.8388987232253.16110127677505
273138.0143167714028-7.01431677140276
283937.61327947532211.38672052467793
292739.5097097615994-12.5097097615994
303626.66193624634079.33806375365934
313837.84303901688490.156960983115111
324639.24823755547576.75176244452428
332933.4681693211018-4.46816932110184
343235.301983035604-3.30198303560397
353935.58466301449133.41533698550871
364438.81170427965995.18829572034006
373349.8932694714816-16.8932694714816
384346.7786210855798-3.77862108557978
392235.0045409096612-13.0045409096612
403038.4571180042982-8.45711800429825
418675.455197690784310.5448023092157
423033.3734346967697-3.37343469676971
433245.2655639511873-13.2655639511873
444343.0326627662332-0.0326627662332422
452050.2165442008318-30.2165442008318
465540.292295306807914.7077046931921
474434.36057254054129.63942745945883
483749.8530136133928-12.8530136133928
498259.851149497741522.1488505022585
506656.94134716075019.05865283924993


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
100.5149585646059170.9700828707881650.485041435394083
110.3490145543511380.6980291087022750.650985445648862
120.4743466491467460.9486932982934920.525653350853254
130.5411797531265820.9176404937468360.458820246873418
140.4249991660176560.8499983320353110.575000833982344
150.3353979297825280.6707958595650550.664602070217472
160.2472832790366110.4945665580732230.752716720963389
170.2043662559871790.4087325119743570.795633744012821
180.2815995290867190.5631990581734380.718400470913281
190.3141258278437250.628251655687450.685874172156275
200.2511949588317050.502389917663410.748805041168295
210.1787989542846350.3575979085692690.821201045715365
220.1366980864272460.2733961728544930.863301913572754
230.097264492192110.194528984384220.90273550780789
240.08002713961224240.1600542792244850.919972860387758
250.05902872873416660.1180574574683330.940971271265833
260.04282129114499870.08564258228999740.957178708855001
270.02931209634324080.05862419268648170.970687903656759
280.01756820827731370.03513641655462730.982431791722686
290.02198163984910340.04396327969820690.978018360150897
300.01821715835515250.03643431671030510.981782841644847
310.01018080998298640.02036161996597280.989819190017014
320.01333825626104030.02667651252208060.98666174373896
330.007613415667893160.01522683133578630.992386584332107
340.005421956135551910.01084391227110380.994578043864448
350.003086076187023320.006172152374046650.996913923812977
360.002609645542871450.005219291085742910.997390354457129
370.1431638314003890.2863276628007770.856836168599612
380.1137206296116550.227441259223310.886279370388345
390.2348096791241910.4696193582483810.765190320875809
400.2204638946467670.4409277892935330.779536105353233


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level20.0645161290322581NOK
5% type I error level90.290322580645161NOK
10% type I error level110.354838709677419NOK