Multiple Linear Regression - Estimated Regression Equation |
index[t] = + 14.7636057396207 + 0.306859054576138voeding[t] + 0.190742850008367nietvoeding[t] + 0.334604117049442diensten[t] + 0.0220578495423758huur[t] + e[t] |
Multiple Linear Regression - Ordinary Least Squares | |||||
Variable | Parameter | S.D. | T-STAT H0: parameter = 0 | 2-tail p-value | 1-tail p-value |
(Intercept) | 14.7636057396207 | 0.762241 | 19.3687 | 0 | 0 |
voeding | 0.306859054576138 | 0.018508 | 16.58 | 0 | 0 |
nietvoeding | 0.190742850008367 | 0.016097 | 11.8497 | 0 | 0 |
diensten | 0.334604117049442 | 0.040944 | 8.1722 | 0 | 0 |
huur | 0.0220578495423758 | 0.043416 | 0.5081 | 0.613078 | 0.306539 |
Multiple Linear Regression - Regression Statistics | |
Multiple R | 0.998870447041813 |
R-squared | 0.997742169973512 |
Adjusted R-squared | 0.997607374151035 |
F-TEST (value) | 7401.87753329347 |
F-TEST (DF numerator) | 4 |
F-TEST (DF denominator) | 67 |
p-value | 0 |
Multiple Linear Regression - Residual Statistics | |
Residual Standard Deviation | 0.174807484111826 |
Sum Squared Residuals | 2.04736298560093 |
Multiple Linear Regression - Actuals, Interpolation, and Residuals | |||
Time or Index | Actuals | Interpolation Forecast | Residuals Prediction Error |
1 | 104.29 | 104.438649392408 | -0.148649392408322 |
2 | 104.56 | 104.698205367027 | -0.138205367027115 |
3 | 104.79 | 104.960907691399 | -0.170907691398819 |
4 | 105.08 | 105.405073876916 | -0.325073876915748 |
5 | 105.21 | 105.549164846352 | -0.339164846352305 |
6 | 105.43 | 105.853536071487 | -0.423536071487109 |
7 | 105.69 | 106.135500230797 | -0.445500230797202 |
8 | 105.74 | 106.011553323901 | -0.271553323900952 |
9 | 106.2 | 106.246887596827 | -0.0468875968266316 |
10 | 106.04 | 105.9604991279 | 0.0795008721002696 |
11 | 106.45 | 106.319530272203 | 0.130469727797314 |
12 | 106.4 | 106.179717681112 | 0.220282318887777 |
13 | 106.48 | 106.35156771054 | 0.1284322894602 |
14 | 106.83 | 106.654680412769 | 0.175319587230856 |
15 | 107.14 | 106.975041510181 | 0.164958489819235 |
16 | 107.94 | 107.938876079221 | 0.00112392077871975 |
17 | 108.46 | 108.574351986315 | -0.114351986314764 |
18 | 108.81 | 108.823077257569 | -0.0130772575689173 |
19 | 108.92 | 108.908251166046 | 0.0117488339539551 |
20 | 108.99 | 108.886581083212 | 0.103418916788391 |
21 | 109.16 | 108.984197453954 | 0.175802546046113 |
22 | 109.22 | 109.055294133071 | 0.164705866928951 |
23 | 109.43 | 109.257816562166 | 0.172183437833558 |
24 | 109.23 | 109.041149130342 | 0.188850869658002 |
25 | 109.93 | 109.881224414767 | 0.0487755852334487 |
26 | 110.09 | 109.958177582742 | 0.131822417257552 |
27 | 110.33 | 110.205938751245 | 0.124061248754895 |
28 | 110.11 | 110.048395367276 | 0.0616046327239605 |
29 | 110.35 | 110.318025532235 | 0.0319744677651169 |
30 | 110.09 | 110.050073507135 | 0.039926492864981 |
31 | 110.44 | 110.360107092081 | 0.0798929079188199 |
32 | 110.39 | 110.278833845512 | 0.111166154487793 |
33 | 110.62 | 110.478617331363 | 0.141382668636995 |
34 | 110.43 | 110.193231621006 | 0.236768378994353 |
35 | 110.46 | 110.269877927658 | 0.19012207234177 |
36 | 110.55 | 110.261741451038 | 0.288258548962183 |
37 | 110.94 | 110.707311069127 | 0.232688930872687 |
38 | 111.56 | 111.306948185347 | 0.253051814653293 |
39 | 111.82 | 111.557203457581 | 0.262796542418945 |
40 | 111.73 | 111.732551394081 | -0.00255139408112445 |
41 | 111.57 | 111.552649753488 | 0.0173502465122153 |
42 | 111.85 | 111.889558832148 | -0.0395588321475521 |
43 | 112.06 | 112.100214679701 | -0.0402146797010859 |
44 | 112.2 | 112.255817425217 | -0.0558174252173989 |
45 | 112.47 | 112.582145250088 | -0.112145250087708 |
46 | 112.15 | 112.089538381211 | 0.0604616187887197 |
47 | 112.36 | 112.301621973283 | 0.0583780267174736 |
48 | 112.32 | 112.194848513141 | 0.125151486858655 |
49 | 112.67 | 112.582124548933 | 0.0878754510674 |
50 | 113.02 | 112.964693343889 | 0.0553066561107549 |
51 | 113.05 | 113.031121694007 | 0.0188783059926361 |
52 | 113.5 | 113.672412780374 | -0.172412780374007 |
53 | 113.67 | 113.945380126228 | -0.275380126227944 |
54 | 113.65 | 113.946648808983 | -0.29664880898292 |
55 | 114 | 114.261171313094 | -0.261171313093896 |
56 | 114.03 | 114.181346770692 | -0.15134677069222 |
57 | 114.08 | 114.175100437265 | -0.0951004372653088 |
58 | 114.49 | 114.390420365357 | 0.0995796346426882 |
59 | 114.48 | 114.467990637974 | 0.0120093620255363 |
60 | 114.25 | 114.210250887716 | 0.0397491122838033 |
61 | 114.68 | 114.658157939969 | 0.0218420600314417 |
62 | 115.28 | 115.281921913855 | -0.00192191385456 |
63 | 115.9 | 115.985665520765 | -0.0856655207651393 |
64 | 115.87 | 116.049967407994 | -0.179967407994061 |
65 | 116.09 | 116.370268499879 | -0.280268499878806 |
66 | 116.29 | 116.477645508668 | -0.187645508668231 |
67 | 116.76 | 116.801857110566 | -0.041857110565829 |
68 | 116.78 | 116.812930314841 | -0.0329303148406599 |
69 | 116.65 | 116.555880801593 | 0.094119198406734 |
70 | 116.46 | 116.557074056249 | -0.0970740562485846 |
71 | 116.82 | 116.793184820561 | 0.0268151794390554 |
72 | 116.91 | 116.732021088362 | 0.177978911637672 |
Goldfeld-Quandt test for Heteroskedasticity | |||
p-values | Alternative Hypothesis | ||
breakpoint index | greater | 2-sided | less |
8 | 0.039858317024633 | 0.079716634049266 | 0.960141682975367 |
9 | 0.122014137174446 | 0.244028274348893 | 0.877985862825553 |
10 | 0.0986200980937401 | 0.19724019618748 | 0.90137990190626 |
11 | 0.304580764316889 | 0.609161528633778 | 0.695419235683111 |
12 | 0.384923044647639 | 0.769846089295277 | 0.615076955352361 |
13 | 0.348707198677177 | 0.697414397354354 | 0.651292801322823 |
14 | 0.445413891732022 | 0.890827783464044 | 0.554586108267978 |
15 | 0.432830986002731 | 0.865661972005462 | 0.567169013997269 |
16 | 0.684790060228158 | 0.630419879543684 | 0.315209939771842 |
17 | 0.831544772103714 | 0.336910455792573 | 0.168455227896286 |
18 | 0.939789109754061 | 0.120421780491877 | 0.0602108902459386 |
19 | 0.97480192788604 | 0.0503961442279196 | 0.0251980721139598 |
20 | 0.975862357252509 | 0.0482752854949824 | 0.0241376427474912 |
21 | 0.966691103248551 | 0.0666177935028989 | 0.0333088967514494 |
22 | 0.950535002261798 | 0.0989299954764044 | 0.0494649977382022 |
23 | 0.928727770911913 | 0.142544458176173 | 0.0712722290880865 |
24 | 0.914311663598909 | 0.171376672802182 | 0.0856883364010909 |
25 | 0.919897925781504 | 0.160204148436992 | 0.0801020742184962 |
26 | 0.96710997084182 | 0.0657800583163597 | 0.0328900291581799 |
27 | 0.983627976612584 | 0.0327440467748325 | 0.0163720233874163 |
28 | 0.995175551932977 | 0.00964889613404568 | 0.00482444806702284 |
29 | 0.995602819589573 | 0.00879436082085375 | 0.00439718041042687 |
30 | 0.996456599755985 | 0.00708680048803017 | 0.00354340024401509 |
31 | 0.996352329569062 | 0.00729534086187603 | 0.00364767043093802 |
32 | 0.996368429738288 | 0.00726314052342496 | 0.00363157026171248 |
33 | 0.994510229078417 | 0.0109795418431669 | 0.00548977092158346 |
34 | 0.991065768501535 | 0.0178684629969299 | 0.00893423149846493 |
35 | 0.986262601205472 | 0.0274747975890553 | 0.0137373987945276 |
36 | 0.978490116626886 | 0.0430197667462274 | 0.0215098833731137 |
37 | 0.967396504851478 | 0.065206990297045 | 0.0326034951485225 |
38 | 0.962793704678228 | 0.0744125906435433 | 0.0372062953217717 |
39 | 0.972071887207503 | 0.0558562255849931 | 0.0279281127924965 |
40 | 0.973566477231478 | 0.052867045537043 | 0.0264335227685215 |
41 | 0.962691455666171 | 0.0746170886676573 | 0.0373085443338287 |
42 | 0.952311492395971 | 0.0953770152080586 | 0.0476885076040293 |
43 | 0.947268774748977 | 0.105462450502046 | 0.0527312252510231 |
44 | 0.948669378684647 | 0.102661242630705 | 0.0513306213153525 |
45 | 0.948863731665604 | 0.102272536668792 | 0.0511362683343961 |
46 | 0.938847762592836 | 0.122304474814329 | 0.0611522374071645 |
47 | 0.934416738784112 | 0.131166522431776 | 0.0655832612158879 |
48 | 0.930433552884417 | 0.139132894231167 | 0.0695664471155834 |
49 | 0.953138571965909 | 0.0937228560681817 | 0.0468614280340909 |
50 | 0.956249858147837 | 0.0875002837043266 | 0.0437501418521633 |
51 | 0.966823753773814 | 0.0663524924523713 | 0.0331762462261857 |
52 | 0.97544016815346 | 0.0491196636930803 | 0.0245598318465402 |
53 | 0.984975993941315 | 0.0300480121173699 | 0.0150240060586849 |
54 | 0.99103003808002 | 0.0179399238399599 | 0.00896996191997996 |
55 | 0.996826641916664 | 0.00634671616667199 | 0.003173358083336 |
56 | 0.997826647087691 | 0.00434670582461855 | 0.00217335291230928 |
57 | 0.997459988861639 | 0.0050800222767227 | 0.00254001113836135 |
58 | 0.995212195406331 | 0.00957560918733763 | 0.00478780459366881 |
59 | 0.988545821093366 | 0.0229083578132688 | 0.0114541789066344 |
60 | 0.973771050201648 | 0.0524578995967042 | 0.0262289497983521 |
61 | 0.94597651307587 | 0.10804697384826 | 0.0540234869241299 |
62 | 0.899529580486873 | 0.200940839026254 | 0.100470419513127 |
63 | 0.850607232940014 | 0.298785534119972 | 0.149392767059986 |
64 | 0.816975270733781 | 0.366049458532438 | 0.183024729266219 |
Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity | |||
Description | # significant tests | % significant tests | OK/NOK |
1% type I error level | 9 | 0.157894736842105 | NOK |
5% type I error level | 19 | 0.333333333333333 | NOK |
10% type I error level | 34 | 0.596491228070175 | NOK |