Multiple Linear Regression - Estimated Regression Equation

Confidence[t] = + 13.1859586294866 + 0.00507128374736726Concern[t] -0.278644023837285Doubts[t] + 0.101708935008028ParentalExpectations[t] + 0.00158176421768097ParentalCriticism[t] + 0.0217139022837344PersonalStandards[t] + 0.149270127306556Organization[t] -0.00580718049086313t + 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)	13.1859586294866	1.571231	8.3921	0	0
Concern	0.00507128374736726	0.037631	0.1348	0.892989	0.446495
Doubts	-0.278644023837285	0.068906	-4.0438	8.6e-05	4.3e-05
ParentalExpectations	0.101708935008028	0.062726	1.6215	0.107131	0.053566
ParentalCriticism	0.00158176421768097	0.078903	0.02	0.984034	0.492017
PersonalStandards	0.0217139022837344	0.049043	0.4428	0.658616	0.329308
Organization	0.149270127306556	0.049894	2.9917	0.003272	0.001636
t	-0.00580718049086313	0.003975	-1.461	0.146216	0.073108

Multiple Linear Regression - Regression Statistics
Multiple R	0.467944300630389
R-squared	0.218971868492464
Adjusted R-squared	0.180470481728008
F-TEST (value)	5.68737614133464
F-TEST (DF numerator)	7
F-TEST (DF denominator)	142
p-value	8.27082807408619e-06
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	2.05762788096972
Sum Squared Residuals	601.204214509241

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	Interpolation Forecast	Residuals Prediction Error
1	13	16.6139339620755	-3.6139339620755
2	16	16.4284289517939	-0.428428951793902
3	19	15.7589626739441	3.24103732605593
4	15	14.2727300029493	0.727269997050687
5	14	14.9908715999515	-0.99087159995147
6	13	15.5618278304180	-2.56182783041797
7	19	15.3673125902512	3.63268740974878
8	15	16.2926454201209	-1.29264542012085
9	14	16.1516874861911	-2.15168748619105
10	15	14.8760866128081	0.123913387191945
11	16	15.0534205398054	0.946579460194623
12	16	14.9026188587904	1.09738114120961
13	16	14.8710961798008	1.12890382019920
14	17	17.6438820433499	-0.643882043349945
15	15	12.5913859922208	2.40861400777919
16	15	16.2927411904873	-1.29274119048733
17	20	17.1887431077682	2.81125689223178
18	18	17.1037424740686	0.896257525931451
19	16	17.3087435631608	-1.30874356316084
20	16	14.6888506614136	1.31114933858640
21	19	14.8263828145943	4.17361718540565
22	16	14.7297919433371	1.27020805666289
23	17	16.1876881240435	0.812311875956463
24	17	15.2819950786701	1.71800492132989
25	16	14.9665790633153	1.03342093668469
26	15	13.5154823941365	1.48451760586348
27	14	15.9593647322043	-1.95936473220427
28	15	16.3453704832468	-1.34537048324680
29	12	14.9497710710292	-2.94977107102921
30	14	15.1440545555275	-1.14405455552749
31	16	15.4101518515395	0.589848148460479
32	14	15.8552520838496	-1.85525208384961
33	7	14.3947565390464	-7.39475653904638
34	10	13.2588380286264	-3.25883802862638
35	14	14.6057826689751	-0.605782668975087
36	16	16.7779311438682	-0.777931143868164
37	16	14.4471416715257	1.55285832847428
38	16	13.8408602739132	2.15913972608680
39	14	15.5293273996257	-1.52932739962571
40	20	18.1977507277069	1.80224927229308
41	14	15.0254137008972	-1.02541370089720
42	14	15.2600305293303	-1.26003052933029
43	11	14.5497352383586	-3.54973523835864
44	15	15.9296663006850	-0.929666300684979
45	16	15.7456766352709	0.25432336472913
46	14	15.2613316147310	-1.26133161473104
47	16	14.4004882090504	1.59951179094956
48	14	15.2410673846754	-1.24106738467539
49	12	15.5457832660431	-3.54578326604307
50	16	15.0223975890625	0.977602410937516
51	9	13.9633980484456	-4.96339804844555
52	14	14.4875496896335	-0.487549689633468
53	16	15.7408222337379	0.259177766262083
54	16	15.1609716522175	0.839028347782451
55	15	15.2122243633186	-0.212224363318575
56	16	14.8521819555621	1.14781804443789
57	12	13.5401323121032	-1.54013231210324
58	16	16.5217287955254	-0.521728795525386
59	16	16.1761543938631	-0.176154393863125
60	14	16.3933353283843	-2.39333532838426
61	16	12.6016606260921	3.39833937390794
62	17	15.9824204316697	1.01757956833026
63	18	14.7070871914091	3.29291280859092
64	18	15.4249220914617	2.5750779085383
65	12	14.5025949683924	-2.50259496839241
66	16	15.8687302617883	0.131269738211660
67	10	14.3910440418816	-4.39104404188163
68	14	12.7095949087348	1.29040509126520
69	18	15.4179556648222	2.58204433517785
70	18	16.2653622499863	1.73463775001372
71	16	15.5290289855346	0.470971014465363
72	16	15.4825531524353	0.517446847564721
73	16	14.7271359945953	1.27286400540465
74	13	14.6752984396829	-1.67529843968288
75	16	15.0670808830758	0.932919116924178
76	16	14.7744375095125	1.22556249048753
77	20	15.9482652208551	4.05173477914486
78	16	15.2387419322767	0.761258067723293
79	15	12.8063237050544	2.19367629494562
80	15	15.2913349665646	-0.291334966564635
81	16	15.7955961048069	0.204403895193115
82	14	14.0345813427015	-0.0345813427015287
83	15	13.2216000839889	1.77839991601113
84	12	14.9066365866886	-2.90663658668858
85	17	15.9601126792037	1.03988732079633
86	16	15.1289356585966	0.871064341403366
87	15	13.0445065581465	1.95549344185345
88	13	14.3081944139494	-1.30819441394942
89	16	15.8588474413305	0.141152558669501
90	16	15.2054735820545	0.794526417945482
91	16	16.1312662650405	-0.131266265040474
92	16	15.7713969342266	0.228603065773409
93	14	15.5486865554169	-1.54868655541693
94	16	14.0673890109121	1.93261098908791
95	16	15.0422581528602	0.95774184713982
96	20	16.2692340013688	3.73076599863119
97	15	15.3992262599508	-0.39922625995077
98	16	13.9980326565390	2.00196734346102
99	13	14.2957655650165	-1.29576556501655
100	17	15.7672289610709	1.23277103892914
101	16	14.0679683586658	1.93203164133423
102	12	13.2356636412037	-1.23566364120369
103	16	14.9111800497967	1.08881995020325
104	16	15.1422387177507	0.857761282249325
105	17	15.3478860085924	1.65211399140764
106	13	13.0595149855268	-0.0595149855268156
107	12	15.7081076497185	-3.7081076497185
108	18	15.6443489143162	2.35565108568384
109	14	13.5387860906722	0.461213909327788
110	14	14.3394650263327	-0.339465026332685
111	13	13.6382368874932	-0.638236887493229
112	16	15.2773937903488	0.722606209651224
113	13	12.4904083485798	0.509591651420171
114	16	15.1215593021966	0.878440697803391
115	13	14.6830274621508	-1.68302746215077
116	16	15.6426034269247	0.35739657307529
117	15	14.5204570156667	0.479542984333252
118	16	15.0933210796492	0.906678920350833
119	15	14.7316609277932	0.268339072206798
120	17	15.4196193486458	1.58038065135420
121	15	15.6157457213473	-0.615745721347312
122	12	13.4724342652028	-1.47243426520282
123	16	14.2133702098931	1.78662979010686
124	10	13.9459293229077	-3.94592932290766
125	16	14.1745922844059	1.82540771559412
126	14	14.4995566223463	-0.499556622346274
127	15	16.0999575797433	-1.09995757974331
128	13	14.2367854122844	-1.23678541228445
129	15	15.1040846437896	-0.104084643789639
130	11	13.4618815468193	-2.46188154681932
131	12	13.9762152487714	-1.97621524877138
132	8	14.2452353733339	-6.24523537333395
133	16	15.9461048056350	0.0538951943649715
134	15	14.5211473010084	0.478852698991634
135	17	15.0337438609766	1.96625613902335
136	16	15.0927711898981	0.907228810101923
137	10	14.6538827628817	-4.65388276288175
138	18	13.6255610961421	4.37443890385786
139	13	13.5183347163529	-0.518334716352945
140	15	13.9670488488242	1.03295115117577
141	16	14.2929461263752	1.70705387362481
142	16	14.6224575461024	1.37754245389761
143	14	13.0799227119239	0.920077288076148
144	10	12.7967484861264	-2.7967484861264
145	17	15.6116818497519	1.38831815024812
146	13	13.9868871063324	-0.98688710633238
147	15	15.4647590285849	-0.46475902858487
148	16	15.5470842456070	0.452915754392974
149	12	14.9184477267086	-2.91844772670861
150	13	13.2806196571575	-0.280619657157512

Goldfeld-Quandt test for Heteroskedasticity
p-values	Alternative Hypothesis
breakpoint index	greater	2-sided	less
11	0.79843571586637	0.403128568267260	0.201564284133630
12	0.70719864925925	0.5856027014815	0.29280135074075
13	0.577455876553119	0.845088246893762	0.422544123446881
14	0.707313306260085	0.58537338747983	0.292686693739915
15	0.613076936846848	0.773846126306304	0.386923063153152
16	0.510973728725096	0.978052542549808	0.489026271274904
17	0.519993265923904	0.96001346815219	0.480006734076095
18	0.527531548362266	0.944936903275468	0.472468451637734
19	0.438392147098584	0.876784294197168	0.561607852901416
20	0.390845282710078	0.781690565420156	0.609154717289922
21	0.480732488081969	0.961464976163938	0.519267511918031
22	0.472004725721639	0.944009451443278	0.527995274278361
23	0.400294851361374	0.800589702722748	0.599705148638626
24	0.333147851964483	0.666295703928965	0.666852148035517
25	0.272628096991176	0.545256193982353	0.727371903008823
26	0.251179307318538	0.502358614637075	0.748820692681462
27	0.211705337592410	0.423410675184821	0.78829466240759
28	0.309300113228680	0.618600226457361	0.69069988677132
29	0.395248439268546	0.790496878537091	0.604751560731454
30	0.335470221732142	0.670940443464284	0.664529778267858
31	0.303423487416557	0.606846974833114	0.696576512583443
32	0.256324411472861	0.512648822945722	0.743675588527139
33	0.902799714274697	0.194400571450605	0.0972002857253027
34	0.925461464447135	0.14907707110573	0.074538535552865
35	0.906782062169122	0.186435875661757	0.0932179378308783
36	0.905443091787589	0.189113816424823	0.0945569082124114
37	0.900819591137584	0.198360817724832	0.099180408862416
38	0.902482992566613	0.195034014866774	0.097517007433387
39	0.881566402755432	0.236867194489136	0.118433597244568
40	0.912843883385941	0.174312233228118	0.0871561166140589
41	0.891304334968484	0.217391330063032	0.108695665031516
42	0.869748998191234	0.260502003617532	0.130251001808766
43	0.912855731845383	0.174288536309233	0.0871442681546167
44	0.891930747177383	0.216138505645235	0.108069252822618
45	0.870542990710397	0.258914018579207	0.129457009289603
46	0.846577890027168	0.306844219945664	0.153422109972832
47	0.8326311333831	0.3347377332338	0.1673688666169
48	0.805725862082261	0.388548275835478	0.194274137917739
49	0.844812756904374	0.310374486191252	0.155187243095626
50	0.829594174648924	0.340811650702152	0.170405825351076
51	0.924154376364671	0.151691247270657	0.0758456236353285
52	0.9141155193318	0.1717689613364	0.0858844806682
53	0.907134498977458	0.185731002045083	0.0928655010225417
54	0.900827651264732	0.198344697470537	0.0991723487352683
55	0.884305664476058	0.231388671047884	0.115694335523942
56	0.884297794851036	0.231404410297928	0.115702205148964
57	0.873794175594201	0.252411648811598	0.126205824405799
58	0.850811302214444	0.298377395571112	0.149188697785556
59	0.825766668536981	0.348466662926038	0.174233331463019
60	0.840518934841716	0.318962130316567	0.159481065158284
61	0.880861302019607	0.238277395960785	0.119138697980393
62	0.866429814714177	0.267140370571646	0.133570185285823
63	0.898157642013416	0.203684715973168	0.101842357986584
64	0.91149915841015	0.177001683179699	0.0885008415898493
65	0.928874502975021	0.142250994049958	0.0711254970249788
66	0.913787862006614	0.172424275986773	0.0862121379933863
67	0.968689057366647	0.0626218852667062	0.0313109426333531
68	0.961232706876615	0.0775345862467696	0.0387672931233848
69	0.968337476513819	0.0633250469723626	0.0316625234861813
70	0.96661428919433	0.0667714216113394	0.0333857108056697
71	0.957271897179262	0.0854562056414768	0.0427281028207384
72	0.946299626794865	0.107400746410269	0.0537003732051345
73	0.934159009387402	0.131681981225196	0.0658409906125981
74	0.940225985127095	0.119548029745810	0.0597740148729049
75	0.927786928464003	0.144426143071993	0.0722130715359965
76	0.912713441387291	0.174573117225417	0.0872865586127086
77	0.945423803922236	0.109152392155529	0.0545761960777644
78	0.93052257809335	0.138954843813301	0.0694774219066503
79	0.92398382848846	0.152032343023078	0.0760161715115392
80	0.908096221636062	0.183807556727877	0.0919037783639384
81	0.88630890554857	0.227382188902862	0.113691094451431
82	0.862932805631603	0.274134388736794	0.137067194368397
83	0.851215519141086	0.297568961717829	0.148784480858915
84	0.89816460851048	0.203670782979038	0.101835391489519
85	0.87884975668889	0.242300486622221	0.121150243311110
86	0.852414238425507	0.295171523148986	0.147585761574493
87	0.836584356011868	0.326831287976263	0.163415643988132
88	0.830210491755858	0.339579016488283	0.169789508244142
89	0.805824290497749	0.388351419004503	0.194175709502251
90	0.769907464468067	0.460185071063866	0.230092535531933
91	0.739742178841851	0.520515642316297	0.260257821158149
92	0.699206159619448	0.601587680761105	0.300793840380552
93	0.731946435987902	0.536107128024195	0.268053564012098
94	0.718500745961405	0.562998508077189	0.281499254038595
95	0.675586120939414	0.648827758121173	0.324413879060587
96	0.720008390931779	0.559983218136442	0.279991609068221
97	0.681754472241316	0.636491055517368	0.318245527758684
98	0.679876163949377	0.640247672101246	0.320123836050623
99	0.669827176947889	0.660345646104221	0.330172823052111
100	0.629825815122613	0.740348369754773	0.370174184877386
101	0.61270592578572	0.77458814842856	0.38729407421428
102	0.584831108841493	0.830337782317014	0.415168891158507
103	0.534576066721204	0.930847866557591	0.465423933278796
104	0.500687247600614	0.998625504798773	0.499312752399386
105	0.478856609775188	0.957713219550376	0.521143390224812
106	0.425228681158729	0.850457362317458	0.574771318841271
107	0.596017621392183	0.807964757215634	0.403982378607817
108	0.581267300660983	0.837465398678033	0.418732699339017
109	0.563409654954614	0.873180690090771	0.436590345045386
110	0.510455523415996	0.979088953168008	0.489544476584004
111	0.457763162996382	0.915526325992764	0.542236837003618
112	0.402297400625652	0.804594801251304	0.597702599374348
113	0.365239715166137	0.730479430332275	0.634760284833862
114	0.327027810437883	0.654055620875766	0.672972189562117
115	0.314342516233273	0.628685032466545	0.685657483766727
116	0.262502214251584	0.525004428503169	0.737497785748416
117	0.234911936155590	0.469823872311181	0.76508806384441
118	0.238462304461922	0.476924608923845	0.761537695538078
119	0.192256057369963	0.384512114739927	0.807743942630037
120	0.165486544505742	0.330973089011484	0.834513455494258
121	0.131805397843157	0.263610795686314	0.868194602156843
122	0.117565063444904	0.235130126889808	0.882434936555096
123	0.109630033191465	0.219260066382931	0.890369966808535
124	0.148748910308133	0.297497820616266	0.851251089691867
125	0.119798918079296	0.239597836158591	0.880201081920704
126	0.097419892017348	0.194839784034696	0.902580107982652
127	0.0721565981199034	0.144313196239807	0.927843401880097
128	0.0611420477853251	0.122284095570650	0.938857952214675
129	0.0412616739864623	0.0825233479729246	0.958738326013538
130	0.0426074268135283	0.0852148536270565	0.957392573186472
131	0.0353838000527565	0.070767600105513	0.964616199947243
132	0.486788137830947	0.973576275661894	0.513211862169053
133	0.401834786588614	0.803669573177227	0.598165213411386
134	0.313822407412951	0.627644814825902	0.686177592587049
135	0.265062973364862	0.530125946729724	0.734937026635138
136	0.182145016266821	0.364290032533642	0.817854983733179
137	0.625912160903189	0.748175678193621	0.374087839096811
138	0.519688615826267	0.960622768347466	0.480311384173733
139	0.382829775313453	0.765659550626906	0.617170224686547

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	8	0.062015503875969	OK