Multiple Linear Regression - Estimated Regression Equation
Algemeen_indexcijfer[t] = + 212.482837744783 -0.261484576290743Tabak[t] + 0.0880624144747609Kleding_en_schoeisel[t] -0.57481189505538`Stoff_huish_app_&_ond_won.`[t] -1.17152587000362Gezondheidsuitgaven[t] -0.443136210722326Communicatie[t] -0.194688958261901Onderwijs[t] -0.102969150618992`Hotels_caf\303\251s_en_restaurants`[t] + 1.58032349787973`Diverse_goederen_&_diensten`[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)212.48283774478334.4896676.160800
Tabak-0.2614845762907430.055739-4.69121.2e-056e-06
Kleding_en_schoeisel0.08806241447476090.3356420.26240.7937750.396888
`Stoff_huish_app_&_ond_won.`-0.574811895055380.32773-1.75390.0836420.041821
Gezondheidsuitgaven-1.171525870003620.23946-4.89246e-063e-06
Communicatie-0.4431362107223260.121971-3.63310.0005180.000259
Onderwijs-0.1946889582619010.100242-1.94220.0559720.027986
`Hotels_caf\303\251s_en_restaurants`-0.1029691506189920.107428-0.95850.3409770.170488
`Diverse_goederen_&_diensten`1.580323497879730.1614159.790400


Multiple Linear Regression - Regression Statistics
Multiple R0.990073691817479
R-squared0.980245915229093
Adjusted R-squared0.978081084021322
F-TEST (value)452.804778363546
F-TEST (DF numerator)8
F-TEST (DF denominator)73
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.788517862050677
Sum Squared Residuals45.3885105704269


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1103.48102.4599184257331.02008157426714
2103.93103.1421574125740.787842587426382
3103.89103.612791285880.277208714120194
4104.4103.6982412284680.701758771532119
5104.79103.9775740680.812425931999705
6104.77104.510986613940.25901338605955
7105.13105.48337108899-0.353371088989534
8105.26105.474131890376-0.214131890376346
9104.96105.671938764033-0.711938764033333
10104.75105.253935186788-0.503935186788378
11105.01105.324909706313-0.314909706312883
12105.15105.179050352676-0.0290503526757719
13105.2106.514462414949-1.31446241494899
14105.77106.359170446299-0.589170446299243
15105.78105.773682728260.00631727174031845
16106.26105.7368305443370.523169455662591
17106.13105.8293445950270.300655404972827
18106.12107.634003246848-1.51400324684819
19106.57107.573777415054-1.00377741505429
20106.44107.446682773098-1.00668277309765
21106.54108.018006865951-1.47800686595072
22107.1107.993086807875-0.893086807875154
23108.1108.134281822366-0.0342818223657317
24108.4108.0331635203420.366836479658188
25108.84108.4294838175960.410516182403655
26109.62109.5848772223440.0351227776561192
27110.42109.7522595444530.667740455546615
28110.67109.8797754375710.790224562428694
29111.66110.3782505848551.28174941514468
30112.28110.2273893121012.05261068789888
31112.87111.5212522115361.34874778846387
32112.18111.1417040708061.03829592919448
33112.36111.9378130425040.422186957495686
34112.16111.5059918442290.654008155771302
35111.49111.689435173658-0.199435173657574
36111.25111.467189693373-0.217189693373231
37111.36110.7815056620490.578494337950695
38111.74110.4415107627641.29848923723641
39111.1111.237504428165-0.13750442816538
40111.33110.6331317105270.696868289473375
41111.25111.552223814126-0.302223814125573
42111.04111.701286297448-0.661286297448448
43110.97112.566735472206-1.59673547220566
44111.31112.684954470321-1.37495447032105
45111.02112.972461076587-1.95246107658731
46111.07111.682181623075-0.612181623074934
47111.36112.958250043148-1.59825004314756
48111.54112.364800764073-0.824800764072537
49112.05111.9777724803860.0722275196143904
50112.52113.017413835259-0.497413835259098
51112.94113.311822578648-0.371822578648433
52113.33113.2167996277770.113200372223332
53113.78113.1032426362040.676757363795824
54113.77113.5299990607580.240000939241676
55113.82113.7173865038530.102613496146724
56113.89113.6004772711230.289522728876629
57114.25114.0950965623460.154903437654332
58114.41114.535188283331-0.125188283331298
59114.55114.811902176487-0.261902176487011
60115114.5423901815610.457609818439363
61115.66115.5892142935330.0707857064673529
62116.33116.835277017028-0.50527701702821
63116.91117.162069798603-0.252069798603303
64117.2117.531389685211-0.331389685210593
65117.59117.4586878290920.131312170908061
66117.95117.2404340211820.709565978818157
67118.09117.2266452931450.863354706854824
68117.99117.4064930398750.583506960125495
69118.31118.43014842551-0.120148425510398
70118.49118.101002994640.388997005360067
71118.96118.4001413112970.559858688703372
72119.01118.3542415009260.655758499073601
73119.88119.955062339435-0.07506233943527
74120.59120.0334577055630.556542294437379
75120.85120.3553967095850.49460329041548
76120.93120.7145997441630.215400255837109
77120.89120.8202780130350.0697219869646472
78120.61121.14849270702-0.538492707019748
79120.83121.401861349284-0.571861349283915
80121.36121.403130271066-0.043130271065622
81121.57122.214122840602-0.644122840602004
82121.79121.7508946287810.0391053712190722


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
124.4164205588943e-058.83284111778859e-050.999955835794411
136.8368962220355e-050.000136737924440710.99993163103778
142.80985891625418e-055.61971783250837e-050.999971901410837
158.04977898783362e-061.60995579756672e-050.999991950221012
162.21537632519281e-054.43075265038563e-050.999977846236748
177.60679206452247e-061.52135841290449e-050.999992393207935
181.77396368796334e-063.54792737592667e-060.999998226036312
195.30180224043406e-050.0001060360448086810.999946981977596
205.12493138820183e-050.0001024986277640370.999948750686118
215.86568391242926e-050.0001173136782485850.999941343160876
220.000164045731869660.000328091463739320.99983595426813
230.007345725589742330.01469145117948470.992654274410258
240.0196516505979130.0393033011958260.980348349402087
250.03947352436491230.07894704872982450.960526475635088
260.04976745146370380.09953490292740750.950232548536296
270.0437496520696520.0874993041393040.956250347930348
280.03788815467996150.0757763093599230.962111845320039
290.02674690715715440.05349381431430880.973253092842846
300.04068590573229950.08137181146459910.9593140942677
310.03948671387047390.07897342774094790.960513286129526
320.05413073995572330.1082614799114470.945869260044277
330.1759171271772440.3518342543544880.824082872822756
340.4854981048043750.9709962096087510.514501895195625
350.6835849238415730.6328301523168550.316415076158428
360.8811949649411910.2376100701176180.118805035058809
370.9246845804992420.1506308390015150.0753154195007577
380.9649437478661490.07011250426770150.0350562521338507
390.9849937882556070.03001242348878510.0150062117443926
400.9914425705410610.01711485891787770.00855742945893883
410.994401446915640.01119710616872060.0055985530843603
420.9960563979008620.007887204198276520.00394360209913826
430.9992727066596260.001454586680747120.000727293340373561
440.9995958967941870.0008082064116264680.000404103205813234
450.9999998474485513.05102897527763e-071.52551448763882e-07
460.9999997168866225.66226755369903e-072.83113377684952e-07
470.9999999826210393.47579216889209e-081.73789608444604e-08
480.9999999958595588.28088419161232e-094.14044209580616e-09
490.9999999861572072.76855866488701e-081.38427933244351e-08
500.9999999795195294.09609412370809e-082.04804706185404e-08
510.9999999918785381.62429241359454e-088.12146206797271e-09
520.9999999831873663.36252687257448e-081.68126343628724e-08
530.999999959712688.05746396079752e-084.02873198039876e-08
540.9999998701485882.59702824072717e-071.29851412036359e-07
550.9999995507644828.98471036596498e-074.49235518298249e-07
560.99999862327642.7534471993111e-061.37672359965555e-06
570.9999956920272918.61594541724885e-064.30797270862442e-06
580.9999938070932521.23858134949982e-056.19290674749908e-06
590.9999957231768878.55364622580267e-064.27682311290134e-06
600.9999976629940754.67401185057461e-062.3370059252873e-06
610.9999968350209496.32995810128396e-063.16497905064198e-06
620.9999977871511444.42569771230886e-062.21284885615443e-06
630.9999958247385698.35052286122359e-064.1752614306118e-06
640.9999796990096254.0601980749572e-052.0300990374786e-05
650.9999134485345630.0001731029308734688.6551465436734e-05
660.9999006143887720.0001987712224569929.93856112284959e-05
670.9997886977622730.0004226044754539070.000211302237726953
680.9993403020334410.001319395933117960.000659697966558982
690.9963920403262410.007215919347518650.00360795967375933
700.9874002641192390.02519947176152230.0125997358807611


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level390.661016949152542NOK
5% type I error level450.76271186440678NOK
10% type I error level530.898305084745763NOK