Multiple Linear Regression - Estimated Regression Equation
Totaal[t] = + 58274.0716935709 + 1.85595409215134`vrouwen `[t] -1074.75162536165t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)58274.071693570922760.0814642.56040.013730.006865
`vrouwen `1.855954092151340.08351822.222100
t-1074.7516253616598.715181-10.887400


Multiple Linear Regression - Regression Statistics
Multiple R0.959318170134875
R-squared0.920291351550926
Adjusted R-squared0.916899494170114
F-TEST (value)271.323716839386
F-TEST (DF numerator)2
F-TEST (DF denominator)47
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation9907.2855273743
Sum Squared Residuals4613252406.48324


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1563668570266.693118893-6598.69311889312
2586111593872.41901096-7761.41901095998
3604378618749.47345615-14371.4734561504
4600991607615.450651329-6624.45065132856
5544686548059.585582278-3373.5855822783
6537034533440.0809923963593.9190076038
7551531544709.2800339336821.71996606691
8563250552708.28796509910541.7120349007
9574761561288.20952710913472.7904728911
10580112566601.65188693213510.3481130678
11575093561495.76797341813597.2320265822
12557560548554.045882849005.95411715947
13564478556363.7464966078114.25350339268
14580523576302.1071025834220.8928974169
15596594600262.320226251-3668.32022625083
16586570586468.715207376101.284792623924
17536214530385.3402447415828.65975525903
18523597514362.7343611929234.26563880754
19536535525175.3686960611359.6313039399
20536322525407.20875157310914.791248427
21532638526216.2505297456421.74947025503
22528222524421.3887166293800.6112833714
23516141516800.687008249-659.687008249191
24501866506867.466501049-5001.46650104921
25506174515950.351622032-9776.35162203183
26517945533249.545508968-15304.5455089684
27533590558679.67427362-25089.67427362
28528379548674.071556826-20295.0715568261
29477580492470.059578201-14890.0595782012
30469357478518.698461494-9161.69846149355
31490243494806.397368208-4563.39736820765
32492622498156.240298535-5534.24029853479
33507561510036.04823639-2475.04823638946
34516922519835.331636943-2913.33163694249
35514258516481.468386419-2223.468386419
36509846514053.726227879-4207.72622787903
37527070531544.083386307-4474.08338630719
38541657550081.198652709-8424.19865270872
39564591579822.708773428-15231.7087734279
40555362566142.316954174-10780.3169541743
41498662502863.407976268-4201.4079762685
42511038504927.0747207356110.92527926525
43525919517929.7348843417989.26511565901
44531673524109.9078051997563.09219480108
45548854538259.54759775510594.4524022453
46560576549924.0648609210651.9351390802
47557274548609.8951576718664.10484232937
48565742555892.5048092669849.49519073355
49587625579321.9150625798303.08493742112
50619916612576.746279747339.25372025949


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
60.03557079523168730.07114159046337450.964429204768313
70.0203877706267670.04077554125353410.979612229373233
80.01497125612132090.02994251224264170.98502874387868
90.009205454426920680.01841090885384140.99079454557308
100.003386526623241170.006773053246482340.99661347337676
110.001432240596605580.002864481193211170.998567759403394
120.004830295151300930.009660590302601850.9951697048487
130.007734814742434340.01546962948486870.992265185257566
140.01011425024364360.02022850048728710.989885749756356
150.014020524283910.02804104856781990.98597947571609
160.01088976313042160.02177952626084330.989110236869578
170.02226696236022850.04453392472045710.977733037639771
180.03051771197013110.06103542394026210.969482288029869
190.03948579064955330.07897158129910650.960514209350447
200.07558227488845530.1511645497769110.924417725111545
210.188106819201870.376213638403740.81189318079813
220.5041242869282360.9917514261435280.495875713071764
230.8785169716276680.2429660567446630.121483028372332
240.9864075836847180.0271848326305640.013592416315282
250.9983914186332310.003217162733537390.0016085813667687
260.9995971225023210.000805754995357420.00040287749767871
270.999756363516690.0004872729666216890.000243636483310844
280.9996403981260310.0007192037479373940.000359601873968697
290.9996768883873960.0006462232252089740.000323111612604487
300.9994417340750110.001116531849977360.00055826592498868
310.998965152141260.002069695717478820.00103484785873941
320.9978172129895630.004365574020873030.00218278701043652
330.9978546542926030.004290691414793260.00214534570739663
340.9985299143376920.002940171324615530.00147008566230776
350.999167825141930.001664349716137970.000832174858068985
360.9987652207208590.002469558558282820.00123477927914141
370.9990570704022450.001885859195510190.000942929597755093
380.99857506239980.002849875200401260.00142493760020063
390.9958763307728920.008247338454215230.00412366922710761
400.9889809636203410.02203807275931730.0110190363796587
410.999785480006320.0004290399873617760.000214519993680888
420.9995948249342250.0008103501315492870.000405175065774644
430.9982999470571440.003400105885711810.00170005294285591
440.9990973945398740.001805210920252430.000902605460126216


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level220.564102564102564NOK
5% type I error level320.82051282051282NOK
10% type I error level350.897435897435897NOK