Multiple Linear Regression - Estimated Regression Equation |
Intrinsic[t] = + 52.995589547492 -0.587791444894091Doubts[t] + 0.0631178119834426PerantalExpectations[t] -0.393267962263190ParentalCriticism[t] + 0.379101730424418Organization[t] + 0.0160581050867852t + 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) | 52.995589547492 | 10.766167 | 4.9224 | 5e-06 | 2e-06 |
Doubts | -0.587791444894091 | 0.454726 | -1.2926 | 0.19986 | 0.09993 |
PerantalExpectations | 0.0631178119834426 | 0.399024 | 0.1582 | 0.874713 | 0.437357 |
ParentalCriticism | -0.393267962263190 | 0.55794 | -0.7049 | 0.482946 | 0.241473 |
Organization | 0.379101730424418 | 0.328127 | 1.1554 | 0.251386 | 0.125693 |
t | 0.0160581050867852 | 0.04975 | 0.3228 | 0.747705 | 0.373853 |
Multiple Linear Regression - Regression Statistics | |
Multiple R | 0.222694688895234 |
R-squared | 0.049592924462145 |
Adjusted R-squared | -0.00980751775897093 |
F-TEST (value) | 0.834891502617728 |
F-TEST (DF numerator) | 5 |
F-TEST (DF denominator) | 80 |
p-value | 0.52878801247544 |
Multiple Linear Regression - Residual Statistics | |
Residual Standard Deviation | 11.074329671832 |
Sum Squared Residuals | 9811.2622144335 |
Multiple Linear Regression - Actuals, Interpolation, and Residuals | |||
Time or Index | Actuals | Interpolation Forecast | Residuals Prediction Error |
1 | 68 | 55.7862273153151 | 12.2137726846849 |
2 | 48 | 51.0029997506388 | -3.00299975063881 |
3 | 44 | 52.6644641048068 | -8.66446410480682 |
4 | 67 | 52.778425370183 | 14.2215746298170 |
5 | 46 | 53.2626666364622 | -7.26266663646223 |
6 | 54 | 49.8045793351698 | 4.19542066483017 |
7 | 61 | 53.8814507862138 | 7.11854921378623 |
8 | 52 | 50.9878331801868 | 1.01216681981317 |
9 | 46 | 50.7427576404502 | -4.74275764045024 |
10 | 55 | 52.2339844343004 | 2.76601556569956 |
11 | 52 | 57.0498824003055 | -5.04988240030553 |
12 | 76 | 53.7732758551214 | 22.2267241448786 |
13 | 49 | 54.1040350407014 | -5.10403504070136 |
14 | 30 | 56.32124562299 | -26.3212456229901 |
15 | 75 | 51.8433280951252 | 23.1566719048748 |
16 | 51 | 49.781690520555 | 1.21830947944499 |
17 | 50 | 52.8178922256725 | -2.81789222567253 |
18 | 38 | 56.6091237066932 | -18.6091237066932 |
19 | 47 | 47.8383051755124 | -0.838305175512415 |
20 | 52 | 55.4786997536012 | -3.47869975360122 |
21 | 66 | 53.6682657120223 | 12.3317342879777 |
22 | 66 | 53.6843238171091 | 12.3156761828909 |
23 | 33 | 52.5052882982514 | -19.5052882982514 |
24 | 48 | 51.0025706367476 | -3.0025706367476 |
25 | 57 | 53.0915341103293 | 3.90846588967072 |
26 | 64 | 54.8326888515834 | 9.1673111484166 |
27 | 58 | 54.6735597525586 | 3.32644024744136 |
28 | 59 | 49.7443654268725 | 9.25563457312745 |
29 | 42 | 51.8839581770704 | -9.88395817707044 |
30 | 39 | 51.9136283228406 | -12.9136283228406 |
31 | 59 | 52.4390703236831 | 6.56092967631689 |
32 | 37 | 57.3874974656518 | -20.3874974656518 |
33 | 49 | 51.943020550737 | -2.94302055073701 |
34 | 80 | 61.1789431234489 | 18.8210568765511 |
35 | 62 | 50.348497476188 | 11.651502523812 |
36 | 44 | 54.0263767271327 | -10.0263767271327 |
37 | 53 | 51.4100704825081 | 1.58992951749191 |
38 | 58 | 55.4959381187102 | 2.50406188128977 |
39 | 69 | 53.9483154184262 | 15.0516845815738 |
40 | 63 | 53.9853264282487 | 9.01467357175127 |
41 | 36 | 49.7539814548447 | -13.7539814548447 |
42 | 38 | 54.1227253576535 | -16.1227253576535 |
43 | 46 | 54.0314892587689 | -8.03148925876895 |
44 | 56 | 52.5966645974054 | 3.4033354025946 |
45 | 37 | 51.11324571605 | -14.1132457160500 |
46 | 51 | 51.0185172669564 | -0.0185172669564133 |
47 | 44 | 55.3927650047143 | -11.3927650047143 |
48 | 58 | 55.7354809098718 | 2.26451909012816 |
49 | 37 | 54.0647200773062 | -17.0647200773062 |
50 | 65 | 54.4740461446562 | 10.5259538553438 |
51 | 48 | 54.9464900239896 | -6.9464900239896 |
52 | 53 | 54.0352154902206 | -1.03521549022059 |
53 | 51 | 53.3745751752821 | -2.37457517528214 |
54 | 39 | 52.6197819515212 | -13.6197819515212 |
55 | 64 | 56.5950223661747 | 7.40497763382533 |
56 | 47 | 55.5869681774324 | -8.58696817743243 |
57 | 47 | 56.6906512468554 | -9.69065124685545 |
58 | 64 | 48.0339522874324 | 15.9660477125676 |
59 | 59 | 57.4520842630449 | 1.54791573695512 |
60 | 54 | 52.9584821395014 | 1.04151786049864 |
61 | 55 | 55.4006212230938 | -0.400621223093818 |
62 | 72 | 55.3966144028689 | 16.6033855971311 |
63 | 58 | 54.115074991202 | 3.88492500879800 |
64 | 59 | 52.8199235388518 | 6.18007646114824 |
65 | 36 | 48.9625102491916 | -12.9625102491916 |
66 | 62 | 56.849735282999 | 5.15026471700095 |
67 | 63 | 59.440543760763 | 3.55945623923700 |
68 | 50 | 55.7689915568441 | -5.76899155684411 |
69 | 70 | 56.0520820002272 | 13.9479179997728 |
70 | 59 | 54.202641613341 | 4.79735838665901 |
71 | 73 | 53.2575307809453 | 19.7424692190547 |
72 | 62 | 55.859013140339 | 6.14098685966104 |
73 | 41 | 53.2651406659189 | -12.2651406659189 |
74 | 56 | 55.1229806548263 | 0.877019345173695 |
75 | 52 | 55.5229156784943 | -3.52291567849432 |
76 | 54 | 51.6331233837921 | 2.36687661620786 |
77 | 73 | 51.6265508876717 | 21.3734491123283 |
78 | 40 | 51.188234703252 | -11.1882347032519 |
79 | 41 | 55.6357658907175 | -14.6357658907175 |
80 | 54 | 54.8402275549226 | -0.840227554922598 |
81 | 42 | 50.4143590988877 | -8.41435909888767 |
82 | 70 | 54.2845523202021 | 15.7154476797979 |
83 | 51 | 52.3805954479669 | -1.38059544796685 |
84 | 60 | 56.8172323509159 | 3.18276764908414 |
85 | 49 | 55.4400216665866 | -6.4400216665866 |
86 | 52 | 56.1800520753717 | -4.18005207537175 |
Goldfeld-Quandt test for Heteroskedasticity | |||
p-values | Alternative Hypothesis | ||
breakpoint index | greater | 2-sided | less |
9 | 0.0781693826225086 | 0.156338765245017 | 0.921830617377492 |
10 | 0.244678028156819 | 0.489356056313637 | 0.755321971843181 |
11 | 0.366569642051724 | 0.733139284103449 | 0.633430357948276 |
12 | 0.429193045866603 | 0.858386091733205 | 0.570806954133398 |
13 | 0.387008290473238 | 0.774016580946475 | 0.612991709526763 |
14 | 0.718190273529607 | 0.563619452940786 | 0.281809726470393 |
15 | 0.941978756699374 | 0.116042486601251 | 0.0580212433006255 |
16 | 0.932397523446713 | 0.135204953106574 | 0.067602476553287 |
17 | 0.89763047945135 | 0.204739041097301 | 0.102369520548651 |
18 | 0.890029461114749 | 0.219941077770502 | 0.109970538885251 |
19 | 0.852118596910498 | 0.295762806179005 | 0.147881403089502 |
20 | 0.799637348125833 | 0.400725303748334 | 0.200362651874167 |
21 | 0.800310557689443 | 0.399378884621115 | 0.199689442310557 |
22 | 0.784624318665998 | 0.430751362668003 | 0.215375681334001 |
23 | 0.903159893815807 | 0.193680212368386 | 0.0968401061841928 |
24 | 0.866622175641624 | 0.266755648716751 | 0.133377824358376 |
25 | 0.833208321109806 | 0.333583357780388 | 0.166791678890194 |
26 | 0.84413577915448 | 0.311728441691042 | 0.155864220845521 |
27 | 0.807983701331301 | 0.384032597337397 | 0.192016298668699 |
28 | 0.780435268809778 | 0.439129462380444 | 0.219564731190222 |
29 | 0.75478998924955 | 0.4904200215009 | 0.24521001075045 |
30 | 0.772113067703257 | 0.455773864593486 | 0.227886932296743 |
31 | 0.73245644857926 | 0.53508710284148 | 0.26754355142074 |
32 | 0.771627984673227 | 0.456744030653547 | 0.228372015326773 |
33 | 0.718022010179869 | 0.563955979640262 | 0.281977989820131 |
34 | 0.872351606212316 | 0.255296787575369 | 0.127648393787684 |
35 | 0.885406782393092 | 0.229186435213817 | 0.114593217606908 |
36 | 0.873043488632507 | 0.253913022734985 | 0.126956511367493 |
37 | 0.837850942050737 | 0.324298115898527 | 0.162149057949263 |
38 | 0.797827470639806 | 0.404345058720388 | 0.202172529360194 |
39 | 0.8482172449667 | 0.303565510066601 | 0.151782755033301 |
40 | 0.863059270150507 | 0.273881459698986 | 0.136940729849493 |
41 | 0.879303180477862 | 0.241393639044276 | 0.120696819522138 |
42 | 0.89597200460411 | 0.208055990791780 | 0.104027995395890 |
43 | 0.872545348499134 | 0.254909303001732 | 0.127454651500866 |
44 | 0.85062325187506 | 0.29875349624988 | 0.14937674812494 |
45 | 0.867816410147935 | 0.264367179704129 | 0.132183589852065 |
46 | 0.830290530958916 | 0.339418938082167 | 0.169709469041084 |
47 | 0.824964379849386 | 0.350071240301228 | 0.175035620150614 |
48 | 0.787790848822428 | 0.424418302355144 | 0.212209151177572 |
49 | 0.846182889826891 | 0.307634220346218 | 0.153817110173109 |
50 | 0.844090640931993 | 0.311818718136014 | 0.155909359068007 |
51 | 0.823636979257051 | 0.352726041485898 | 0.176363020742949 |
52 | 0.775312601801968 | 0.449374796396063 | 0.224687398198032 |
53 | 0.723523929784379 | 0.552952140431242 | 0.276476070215621 |
54 | 0.788548466304752 | 0.422903067390495 | 0.211451533695248 |
55 | 0.781894109364961 | 0.436211781270078 | 0.218105890635039 |
56 | 0.745424624386434 | 0.509150751227131 | 0.254575375613566 |
57 | 0.753044003939207 | 0.493911992121587 | 0.246955996060793 |
58 | 0.785821824851079 | 0.428356350297842 | 0.214178175148921 |
59 | 0.747871579227324 | 0.504256841545352 | 0.252128420772676 |
60 | 0.686255957056376 | 0.627488085887247 | 0.313744042943624 |
61 | 0.627888960375847 | 0.744222079248305 | 0.372111039624153 |
62 | 0.720969488501447 | 0.558061022997107 | 0.279030511498553 |
63 | 0.653740043636562 | 0.692519912726876 | 0.346259956363438 |
64 | 0.603127055989159 | 0.793745888021682 | 0.396872944010841 |
65 | 0.627449171867947 | 0.745101656264107 | 0.372550828132053 |
66 | 0.560961242497231 | 0.878077515005537 | 0.439038757502769 |
67 | 0.527138055462916 | 0.945723889074167 | 0.472861944537084 |
68 | 0.552732157533403 | 0.894535684933194 | 0.447267842466597 |
69 | 0.483988741330954 | 0.967977482661908 | 0.516011258669046 |
70 | 0.452978733469416 | 0.905957466938832 | 0.547021266530584 |
71 | 0.73014024288009 | 0.539719514239820 | 0.269859757119910 |
72 | 0.695747138894148 | 0.608505722211704 | 0.304252861105852 |
73 | 0.602256016111605 | 0.79548796777679 | 0.397743983888395 |
74 | 0.485437547397661 | 0.970875094795321 | 0.514562452602339 |
75 | 0.360418313158485 | 0.720836626316971 | 0.639581686841515 |
76 | 0.335925126221554 | 0.671850252443107 | 0.664074873778446 |
77 | 0.360289203229878 | 0.720578406459757 | 0.639710796770122 |
Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity | |||
Description | # significant tests | % significant tests | OK/NOK |
1% type I error level | 0 | 0 | OK |
5% type I error level | 0 | 0 | OK |
10% type I error level | 0 | 0 | OK |