Multiple Linear Regression - Estimated Regression Equation |
index[t] = + 14.9146388985236 + 0.0104662375225314maand[t] + 0.309930722230262voeding[t] + 0.184338043649384nietvoeding[t] + 0.327787601377518diensten[t] + 0.0302968821437875huur[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) | 14.9146388985236 | 0.757379 | 19.6924 | 0 | 0 |
maand | 0.0104662375225314 | 0.006221 | 1.6823 | 0.097236 | 0.048618 |
voeding | 0.309930722230262 | 0.018351 | 16.8889 | 0 | 0 |
nietvoeding | 0.184338043649384 | 0.016331 | 11.2874 | 0 | 0 |
diensten | 0.327787601377518 | 0.040599 | 8.0738 | 0 | 0 |
huur | 0.0302968821437875 | 0.043114 | 0.7027 | 0.4847 | 0.24235 |
Multiple Linear Regression - Regression Statistics | |
Multiple R | 0.998916916882485 |
R-squared | 0.997835006834009 |
Adjusted R-squared | 0.997670992200221 |
F-TEST (value) | 6083.81693628978 |
F-TEST (DF numerator) | 5 |
F-TEST (DF denominator) | 66 |
p-value | 0 |
Multiple Linear Regression - Residual Statistics | |
Residual Standard Deviation | 0.172467829827248 |
Sum Squared Residuals | 1.96318005347117 |
Multiple Linear Regression - Actuals, Interpolation, and Residuals | |||
Time or Index | Actuals | Interpolation Forecast | Residuals Prediction Error |
1 | 104.29 | 104.389886570488 | -0.0998865704884732 |
2 | 104.56 | 104.657579654921 | -0.0975796549207001 |
3 | 104.79 | 104.92625016255 | -0.136250162550133 |
4 | 105.08 | 105.387010639998 | -0.307010639997951 |
5 | 105.21 | 105.539368480299 | -0.329368480298863 |
6 | 105.43 | 105.852548299749 | -0.422548299748522 |
7 | 105.69 | 106.142312733783 | -0.452312733783414 |
8 | 105.74 | 106.024875089858 | -0.284875089857989 |
9 | 106.2 | 106.262977935226 | -0.0629779352259944 |
10 | 106.04 | 105.98951207451 | 0.0504879254900875 |
11 | 106.45 | 106.359795849333 | 0.0902041506672231 |
12 | 106.4 | 106.230807421651 | 0.169192578349184 |
13 | 106.48 | 106.297022090354 | 0.182977909645879 |
14 | 106.83 | 106.60694066316 | 0.223059336840179 |
15 | 107.14 | 106.942674015531 | 0.19732598446915 |
16 | 107.94 | 107.915361549076 | 0.0246384509235149 |
17 | 108.46 | 108.561143141661 | -0.101143141660651 |
18 | 108.81 | 108.820089821583 | -0.0100898215830033 |
19 | 108.92 | 108.911316657736 | 0.00868334226388748 |
20 | 108.99 | 108.902728134325 | 0.087271865675084 |
21 | 109.16 | 109.007457552381 | 0.152542447619127 |
22 | 109.22 | 109.095196404383 | 0.124803595617261 |
23 | 109.43 | 109.3045688786 | 0.125431121400267 |
24 | 109.23 | 109.09766208152 | 0.132337918480376 |
25 | 109.93 | 109.831383639453 | 0.0986163605467653 |
26 | 110.09 | 109.911660941387 | 0.178339058612926 |
27 | 110.33 | 110.171706362843 | 0.158293637156741 |
28 | 110.11 | 110.028985923837 | 0.0810140761634831 |
29 | 110.35 | 110.312608751698 | 0.0373912483022703 |
30 | 110.09 | 110.052695552405 | 0.0373044475953494 |
31 | 110.44 | 110.368880561391 | 0.0711194386093935 |
32 | 110.39 | 110.297064904281 | 0.0929350957193712 |
33 | 110.62 | 110.510084468208 | 0.109915531792292 |
34 | 110.43 | 110.238635089536 | 0.191364910463851 |
35 | 110.46 | 110.327937943793 | 0.132062056207485 |
36 | 110.55 | 110.324685591944 | 0.225314408055639 |
37 | 110.94 | 110.659724877013 | 0.280275122987487 |
38 | 111.56 | 111.263151157413 | 0.296848842587102 |
39 | 111.82 | 111.524668509746 | 0.295331490253606 |
40 | 111.73 | 111.717727123577 | 0.0122728764233254 |
41 | 111.57 | 111.556410197701 | 0.0135898022993504 |
42 | 111.85 | 111.903035394457 | -0.0530353944569256 |
43 | 112.06 | 112.119382057303 | -0.0593820573031555 |
44 | 112.2 | 112.283223067984 | -0.0832230679840376 |
45 | 112.47 | 112.62531341581 | -0.155313415809808 |
46 | 112.15 | 112.139431148843 | 0.0105688511565037 |
47 | 112.36 | 112.358948633396 | 0.00105136660442817 |
48 | 112.32 | 112.257111440708 | 0.0628885592917211 |
49 | 112.67 | 112.535542309574 | 0.134457690425935 |
50 | 113.02 | 112.926211397194 | 0.0937886028058511 |
51 | 113.05 | 113.006478969784 | 0.043521030216085 |
52 | 113.5 | 113.654424223903 | -0.15442422390277 |
53 | 113.67 | 113.936824314102 | -0.266824314101632 |
54 | 113.65 | 113.947837898109 | -0.297837898109131 |
55 | 114 | 114.264018748375 | -0.264018748375455 |
56 | 114.03 | 114.189409362522 | -0.159409362522116 |
57 | 114.08 | 114.193987877879 | -0.113987877879302 |
58 | 114.49 | 114.411658430816 | 0.0783415691844366 |
59 | 114.48 | 114.503636157641 | -0.0236361576413773 |
60 | 114.25 | 114.260521413619 | -0.0105214136189734 |
61 | 114.68 | 114.594441775436 | 0.0855582245639461 |
62 | 115.28 | 115.225523592058 | 0.0544764079419797 |
63 | 115.9 | 115.941615999574 | -0.0416159995738693 |
64 | 115.87 | 116.016530921413 | -0.146530921413327 |
65 | 116.09 | 116.349463081667 | -0.259463081666609 |
66 | 116.29 | 116.45798537087 | -0.167985370869685 |
67 | 116.76 | 116.776445707611 | -0.0164457076108268 |
68 | 116.78 | 116.799374119048 | -0.0193741190476303 |
69 | 116.65 | 116.547454220428 | 0.102545779572331 |
70 | 116.46 | 116.56335129219 | -0.103351292189725 |
71 | 116.82 | 116.813799229392 | 0.00620077060802394 |
72 | 116.91 | 116.763920929397 | 0.146079070603147 |
Goldfeld-Quandt test for Heteroskedasticity | |||
p-values | Alternative Hypothesis | ||
breakpoint index | greater | 2-sided | less |
9 | 0.183177733154456 | 0.366355466308912 | 0.816822266845544 |
10 | 0.0937077719976963 | 0.187415543995393 | 0.906292228002304 |
11 | 0.193753197387456 | 0.387506394774912 | 0.806246802612544 |
12 | 0.13141460212758 | 0.262829204255159 | 0.868585397872421 |
13 | 0.312126574448583 | 0.624253148897166 | 0.687873425551417 |
14 | 0.353876924055111 | 0.707753848110222 | 0.646123075944889 |
15 | 0.326118782860666 | 0.652237565721331 | 0.673881217139334 |
16 | 0.719611596209439 | 0.560776807581121 | 0.280388403790561 |
17 | 0.881749574860741 | 0.236500850278517 | 0.118250425139259 |
18 | 0.96274546029659 | 0.0745090794068206 | 0.0372545397034103 |
19 | 0.985668800111663 | 0.0286623997766743 | 0.0143311998883372 |
20 | 0.9848853908705 | 0.0302292182589993 | 0.0151146091294997 |
21 | 0.977471564980432 | 0.0450568700391354 | 0.0225284350195677 |
22 | 0.964652873754961 | 0.0706942524900774 | 0.0353471262450387 |
23 | 0.951114354745677 | 0.0977712905086462 | 0.0488856452543231 |
24 | 0.944501811530719 | 0.110996376938561 | 0.0554981884692806 |
25 | 0.939995394165743 | 0.120009211668514 | 0.0600046058342571 |
26 | 0.959739065428842 | 0.0805218691423159 | 0.0402609345711579 |
27 | 0.976734157291061 | 0.046531685417879 | 0.0232658427089395 |
28 | 0.996520929823666 | 0.00695814035266849 | 0.00347907017633424 |
29 | 0.997152073579965 | 0.00569585284006983 | 0.00284792642003492 |
30 | 0.997716140542679 | 0.00456771891464266 | 0.00228385945732133 |
31 | 0.997516560260564 | 0.00496687947887137 | 0.00248343973943569 |
32 | 0.997476201309181 | 0.0050475973816386 | 0.0025237986908193 |
33 | 0.995824678210122 | 0.00835064357975653 | 0.00417532178987827 |
34 | 0.993194547676303 | 0.013610904647395 | 0.0068054523236975 |
35 | 0.989033646454101 | 0.0219327070917987 | 0.0109663535458994 |
36 | 0.982650478519521 | 0.0346990429609589 | 0.0173495214804795 |
37 | 0.974336711115747 | 0.0513265777685052 | 0.0256632888842526 |
38 | 0.969006882302885 | 0.06198623539423 | 0.030993117697115 |
39 | 0.970287140463318 | 0.0594257190733637 | 0.0297128595366819 |
40 | 0.971020822496087 | 0.057958355007826 | 0.028979177503913 |
41 | 0.958520428764739 | 0.0829591424705222 | 0.0414795712352611 |
42 | 0.946389693314426 | 0.107220613371147 | 0.0536103066855737 |
43 | 0.939617865005126 | 0.120764269989748 | 0.060382134994874 |
44 | 0.939334504337587 | 0.121330991324827 | 0.0606654956624133 |
45 | 0.937860583468325 | 0.12427883306335 | 0.0621394165316748 |
46 | 0.926861292799059 | 0.146277414401882 | 0.073138707200941 |
47 | 0.927518472375807 | 0.144963055248387 | 0.0724815276241934 |
48 | 0.938199817851061 | 0.123600364297878 | 0.061800182148939 |
49 | 0.946915229449742 | 0.106169541100517 | 0.0530847705502583 |
50 | 0.94609133876079 | 0.10781732247842 | 0.0539086612392099 |
51 | 0.954672465054862 | 0.0906550698902751 | 0.0453275349451376 |
52 | 0.964949079597302 | 0.0701018408053956 | 0.0350509204026978 |
53 | 0.976730528696486 | 0.0465389426070281 | 0.023269471303514 |
54 | 0.984753590513227 | 0.0304928189735463 | 0.0152464094867731 |
55 | 0.99362786627875 | 0.0127442674424998 | 0.00637213372124992 |
56 | 0.995236188699344 | 0.00952762260131119 | 0.0047638113006556 |
57 | 0.994360564760964 | 0.0112788704780713 | 0.00563943523903563 |
58 | 0.989444816489269 | 0.0211103670214621 | 0.0105551835107311 |
59 | 0.975367433022691 | 0.0492651339546171 | 0.0246325669773086 |
60 | 0.947067525397799 | 0.105864949204402 | 0.0529324746022012 |
61 | 0.925970315600216 | 0.148059368799568 | 0.0740296843997838 |
62 | 0.875856745957009 | 0.248286508085981 | 0.124143254042991 |
63 | 0.750138422671518 | 0.499723154656964 | 0.249861577328482 |
Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity | |||
Description | # significant tests | % significant tests | OK/NOK |
1% type I error level | 7 | 0.127272727272727 | NOK |
5% type I error level | 20 | 0.363636363636364 | NOK |
10% type I error level | 31 | 0.563636363636364 | NOK |