Multiple Linear Regression - Estimated Regression Equation

Member[t] = + 1.30465081631826 + 0.0640015744751596Provison[t] + 0.0595463954201537Mother[t] + 0.00440396071597927Father[t] + 0.0496845934749124Illness[t] -0.0440791315888167Tobacco[t] -0.130315178168314Gender[t] -3.27464775207176e-05t + 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)	1.30465081631826	0.2814	4.6363	8e-06	4e-06
Provison	0.0640015744751596	0.028625	2.2358	0.026849	0.013425
Mother	0.0595463954201537	0.054235	1.0979	0.274006	0.137003
Father	0.00440396071597927	0.049819	0.0884	0.929679	0.464839
Illness	0.0496845934749124	0.118093	0.4207	0.674561	0.337281
Tobacco	-0.0440791315888167	0.042284	-1.0425	0.298887	0.149444
Gender	-0.130315178168314	0.08317	-1.5668	0.119271	0.059636
t	-3.27464775207176e-05	0.00088	-0.0372	0.97037	0.485185

Multiple Linear Regression - Regression Statistics
Multiple R	0.284283161782614
R-squared	0.0808169160731198
Adjusted R-squared	0.0376338181705147
F-TEST (value)	1.87149417245131
F-TEST (DF numerator)	7
F-TEST (DF denominator)	149
p-value	0.0780617191575274
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	0.489177752690995
Sum Squared Residuals	35.654936185444

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	Interpolation Forecast	Residuals Prediction Error
1	2	1.62781693820654	0.372183061793461
2	1	1.37640278778327	-0.37640278778327
3	1	1.64338842398272	-0.64338842398272
4	1	1.58132753796720	-0.581327537967204
5	2	1.4929668134122	0.507033186587799
6	2	1.43338767151453	0.566612328485474
7	1	1.33408214040499	-0.334082140404989
8	2	1.67722108799982	0.322778912000182
9	1	1.62760618472544	-0.627606184725438
10	2	1.43325668560444	0.566743314395556
11	1	1.08905937804865	-0.0890593780486509
12	2	1.56350637081772	0.436493629182283
13	1	1.6087030387601	-0.608703038760102
14	2	1.74653524317814	0.253464756821858
15	2	1.71128250488279	0.28871749511721
16	2	1.55672667319545	0.443273326804545
17	1	1.30056913225647	-0.300569132256473
18	1	1.62731146642775	-0.627311466427752
19	1	1.39119486493594	-0.391194864935936
20	2	1.40877253212676	0.591227467873237
21	2	1.63602114842715	0.363978851572851
22	1	1.43286372787420	-0.432863727874195
23	2	1.75064448559643	0.249355514403565
24	2	1.42728917535086	0.572710824649135
25	2	1.55977577038603	0.440224229613969
26	2	1.49904634565727	0.500953654342733
27	2	1.61269976712982	0.387300232870182
28	2	1.54635341695914	0.453646583040857
29	1	1.67422138275389	-0.674221382753888
30	1	1.36860018157887	-0.36860018157887
31	2	1.63569368365194	0.364306316348059
32	1	1.49653783757415	-0.496537837574148
33	2	1.57162661622174	0.42837338377826
34	2	1.74588031362773	0.254119686372272
35	2	1.36843644919127	0.631563550808734
36	1	1.62672202983238	-0.626722029832379
37	2	1.56918360109366	0.430816398906337
38	1	1.63100927925429	-0.63100927925429
39	1	1.50511653366346	-0.505116533663461
40	2	1.67627563739721	0.323724362602791
41	1	1.41363909964590	-0.413639099645897
42	2	1.75888144229453	0.241118557705473
43	2	1.69044316062587	0.309556839374133
44	1	1.17190276165197	-0.17190276165197
45	1	1.45434503099556	-0.454345030995557
46	2	1.58666817584531	0.413331824154692
47	2	1.61639757995636	0.383602420043644
48	1	1.30400917050834	-0.304009170508337
49	2	1.63730841040094	0.362691589599059
50	2	1.43194682650362	0.568053173496385
51	1	1.37231646626691	-0.372316466266914
52	1	1.56219651171689	-0.562196511716888
53	2	1.37010782347486	0.629892176525139
54	2	1.41981088881128	0.58018911118872
55	2	1.43168065743796	0.568319342562042
56	1	1.51793517587896	-0.517935175878962
57	1	1.43161516448292	-0.431615164482916
58	1	1.55968800363377	-0.559688003633769
59	1	1.36996256294876	-0.369962562948764
60	1	1.57294662467305	-0.572946624673053
61	1	1.23958189182541	-0.239581891825408
62	2	1.51778991535286	0.482210084647136
63	2	1.36768926272054	0.632310737279465
64	2	1.49989391100946	0.500106088990536
65	2	1.62577238198428	0.374227618015722
66	1	1.68968999164289	-0.68968999164289
67	2	1.70952846971269	0.290471530287314
68	2	1.53751587937408	0.462484120625917
69	1	1.50413413933784	-0.50413413933784
70	1	1.56155585678249	-0.561555856782488
71	1	1.43120793213665	-0.431207932136653
72	2	1.68944229443874	0.310557705561261
73	1	1.69386472701623	-0.693864727016225
74	1	1.62547766368659	-0.625477663686592
75	1	1.68262806507220	-0.682628065072203
76	1	1.69376648758366	-0.693766487583663
77	2	1.6838719391609	0.316128060839099
78	1	1.58567150690367	-0.585671506903672
79	2	1.49285560329366	0.507144396706337
80	2	1.62963392719842	0.37036607280158
81	2	1.69360275519606	0.306397244803941
82	2	1.43525168159990	0.564748318400095
83	1	1.68908208318601	-0.689082083186011
84	2	1.74864695046767	0.251353049532329
85	2	1.68906780857000	0.310932191430003
86	1	1.31157272579451	-0.311572725794508
87	2	1.64932714474212	0.350672855257882
88	2	1.56101763852614	0.438982361473858
89	1	1.49467128835547	-0.494671288355467
90	1	1.36663539292763	-0.366635392927627
91	2	1.61815376529574	0.381846234704261
92	2	1.62483700875219	0.375162991247808
93	2	1.64472670516101	0.355273294838986
94	1	1.55845791210400	-0.558457912103996
95	2	1.51682777815550	0.483172221844497
96	1	1.73844340913121	-0.738443409131208
97	2	1.69307881155573	0.306921188444273
98	1	1.55832692619391	-0.558326926193913
99	1	1.70848058243202	-0.708480582432023
100	2	1.62462625527105	0.375373744728947
101	2	1.28042894771526	0.71957105228474
102	1	1.36624243519738	-0.366242435197378
103	2	1.49411040099212	0.505889599007877
104	2	1.69284958621308	0.307150413786918
105	1	1.60020339750292	-0.600203397502922
106	1	1.74352256724624	-0.743522567246236
107	1	1.62880099064439	-0.628800990644388
108	1	1.28772740085685	-0.287727400856847
109	2	1.75228346758466	0.247716532415341
110	1	1.17837970066771	-0.178379700667712
111	1	1.49626289506801	-0.496262895068006
112	1	1.19818543225999	-0.198185432259987
113	1	1.6440717756106	-0.6440717756106
114	2	1.55588076595545	0.444119234044554
115	1	1.56025198019390	-0.560251980193905
116	2	1.75205424224201	0.247945757757986
117	1	1.63287748658516	-0.63287748658516
118	2	1.49603366972536	0.503966330274639
119	2	1.62390163552011	0.376098364479894
120	1	1.49173393095419	-0.491733930954189
121	1	1.72871438908318	-0.728714389083178
122	2	1.68790740724076	0.312092592759243
123	2	1.36555475916944	0.634445240830557
124	1	1.55978754699637	-0.559787546996369
125	2	1.46928450812322	0.530715491876779
126	2	1.67655403400267	0.323445965997333
127	2	1.42942534773452	0.57057465226548
128	2	1.61689092728845	0.383109072711555
129	1	1.47475898409923	-0.474758984099234
130	2	1.61930717845125	0.380692821548753
131	2	1.62796385684486	0.372036143155137
132	2	1.64350081087673	0.356499189123267
133	2	1.49312800666650	0.506871993333498
134	1	1.63898013886669	-0.638980138866686
135	1	1.75138084083009	-0.751380840830094
136	2	1.66324104951397	0.336758950486033
137	2	1.57692103811792	0.423078961882078
138	2	1.70720346980871	0.292796530191285
139	2	1.56375152888856	0.436248471111435
140	1	1.48854603894690	-0.488546038946904
141	2	1.38488776546041	0.615112234539587
142	2	1.69160522006730	0.308394779932705
143	2	1.74791640946407	0.252083590535935
144	1	1.70160036805336	-0.701600368053356
145	1	1.36923829737997	-0.369238297379966
146	2	1.55675509527292	0.443244904727081
147	2	1.51264321720658	0.487356782793419
148	2	1.68705599882522	0.312944001174781
149	1	1.57894254628372	-0.578942546283721
150	2	1.69139446658616	0.308605533413844
151	2	1.54904159015807	0.450958409841931
152	2	1.62732739915596	0.372672600844045
153	1	1.49247307711609	-0.492473077116087
154	1	1.3645396183663	-0.364539618366301
155	2	1.80591956432288	0.194080435677119
156	1	1.49919326429555	-0.499193264295553
157	2	1.85553866484275	0.144461335157248

Goldfeld-Quandt test for Heteroskedasticity
p-values	Alternative Hypothesis
breakpoint index	greater	2-sided	less
11	0.67982530765519	0.640349384689621	0.320174692344810
12	0.691855261741494	0.616289476517011	0.308144738258506
13	0.682212540612385	0.635574918775229	0.317787459387615
14	0.572613111367561	0.854773777264877	0.427386888632439
15	0.570178314132812	0.859643371734376	0.429821685867188
16	0.54517196585765	0.9096560682847	0.45482803414235
17	0.714441184029244	0.571117631941512	0.285558815970756
18	0.730873667965302	0.538252664069396	0.269126332034698
19	0.657056433730041	0.685887132539918	0.342943566269959
20	0.721161054285058	0.557677891429884	0.278838945714942
21	0.664594463118519	0.670811073762962	0.335405536881481
22	0.707361794436215	0.585276411127569	0.292638205563785
23	0.638953603578301	0.722092792843398	0.361046396421699
24	0.605138502998064	0.789722994003873	0.394861497001936
25	0.592949455709706	0.814101088580588	0.407050544290294
26	0.581339129025235	0.83732174194953	0.418660870974765
27	0.52940192973465	0.9411961405307	0.47059807026535
28	0.475263489867534	0.950526979735069	0.524736510132465
29	0.699526468336759	0.600947063326482	0.300473531663241
30	0.699986842157624	0.600026315684752	0.300013157842376
31	0.659601996640957	0.680796006718085	0.340398003359043
32	0.680633043872982	0.638733912254037	0.319366956127018
33	0.64842677214371	0.70314645571258	0.35157322785629
34	0.597565384684599	0.804869230630803	0.402434615315401
35	0.604499786453763	0.791000427092474	0.395500213546237
36	0.661231590077965	0.67753681984407	0.338768409922035
37	0.627910356868258	0.744179286263483	0.372089643131741
38	0.679420160479528	0.641159679040944	0.320579839520472
39	0.686492809735902	0.627014380528196	0.313507190264098
40	0.651860478652178	0.696279042695644	0.348139521347822
41	0.618710574975745	0.76257885004851	0.381289425024255
42	0.579954271067465	0.84009145786507	0.420045728932535
43	0.547433959075272	0.905132081849457	0.452566040924728
44	0.496514681102756	0.993029362205513	0.503485318897244
45	0.47455409530917	0.94910819061834	0.52544590469083
46	0.468653287753509	0.937306575507017	0.531346712246491
47	0.443746952755121	0.887493905510242	0.556253047244879
48	0.410349869054726	0.820699738109453	0.589650130945274
49	0.39046304450924	0.78092608901848	0.60953695549076
50	0.403859991373833	0.807719982747666	0.596140008626167
51	0.386048969383153	0.772097938766306	0.613951030616847
52	0.399903124799702	0.799806249599404	0.600096875200298
53	0.424437834476018	0.848875668952035	0.575562165523982
54	0.451360151385384	0.902720302770767	0.548639848614616
55	0.453004843798106	0.906009687596211	0.546995156201894
56	0.459310509933242	0.918621019866483	0.540689490066758
57	0.466743535625579	0.933487071251159	0.53325646437442
58	0.466516239416457	0.933032478832914	0.533483760583543
59	0.440006420487865	0.88001284097573	0.559993579512135
60	0.437557827870450	0.875115655740899	0.562442172129550
61	0.395174390106445	0.79034878021289	0.604825609893555
62	0.42081854866655	0.8416370973331	0.57918145133345
63	0.488074964856136	0.976149929712271	0.511925035143864
64	0.496379736625234	0.992759473250468	0.503620263374766
65	0.481227004497757	0.962454008995515	0.518772995502243
66	0.522062566770266	0.955874866459469	0.477937433229734
67	0.496089157809247	0.992178315618495	0.503910842190753
68	0.501244635807474	0.997510728385052	0.498755364192526
69	0.49905218362282	0.99810436724564	0.50094781637718
70	0.502266502760986	0.995466994478028	0.497733497239014
71	0.478296787592764	0.956593575185528	0.521703212407236
72	0.457790460050803	0.915580920101606	0.542209539949197
73	0.48872737454782	0.97745474909564	0.51127262545218
74	0.50158476440001	0.99683047119998	0.49841523559999
75	0.521465453054906	0.957069093890188	0.478534546945094
76	0.548926151943295	0.902147696113411	0.451073848056705
77	0.545885343727991	0.908229312544018	0.454114656272009
78	0.549102683968762	0.901794632062476	0.450897316031238
79	0.570364899869858	0.859270200260284	0.429635100130142
80	0.56354937973978	0.87290124052044	0.43645062026022
81	0.545517184212283	0.908965631575433	0.454482815787717
82	0.580733956550715	0.83853208689857	0.419266043449285
83	0.603262975256490	0.793474049487019	0.396737024743510
84	0.577462159181818	0.845075681636363	0.422537840818182
85	0.559656668913352	0.880686662173295	0.440343331086648
86	0.521598579038624	0.956802841922752	0.478401420961376
87	0.51064708207809	0.97870583584382	0.48935291792191
88	0.516967246527583	0.966065506944835	0.483032753472417
89	0.505234837769139	0.989530324461722	0.494765162230861
90	0.475278596697704	0.950557193395408	0.524721403302296
91	0.463809403627254	0.927618807254508	0.536190596372746
92	0.460521231685268	0.921042463370537	0.539478768314732
93	0.451756771521707	0.903513543043414	0.548243228478293
94	0.451770361467037	0.903540722934075	0.548229638532963
95	0.461988632082628	0.923977264165256	0.538011367917372
96	0.483788945420964	0.967577890841927	0.516211054579036
97	0.470424732355787	0.940849464711574	0.529575267644213
98	0.479152161856416	0.958304323712831	0.520847838143584
99	0.508214389645377	0.983571220709247	0.491785610354623
100	0.49675068328839	0.99350136657678	0.50324931671161
101	0.642158056831007	0.715683886337986	0.357841943168993
102	0.618117659681928	0.763764680636143	0.381882340318072
103	0.623639631413669	0.752720737172662	0.376360368586331
104	0.605827093578087	0.788345812843826	0.394172906421913
105	0.5978686002026	0.804262799594799	0.402131399797400
106	0.644496237514239	0.711007524971522	0.355503762485761
107	0.670258329553832	0.659483340892336	0.329741670446168
108	0.626248082843601	0.747503834312797	0.373751917156399
109	0.585576591345766	0.828846817308468	0.414423408654234
110	0.533843734115418	0.932312531769164	0.466156265884582
111	0.51644016306375	0.9671196738725	0.48355983693625
112	0.463447166962441	0.926894333924882	0.536552833037559
113	0.507023008226357	0.985953983547287	0.492976991773643
114	0.514769611173835	0.97046077765233	0.485230388826165
115	0.511072832937848	0.977854334124305	0.488927167062153
116	0.463632632012731	0.927265264025462	0.536367367987269
117	0.568753057957114	0.862493884085773	0.431246942042886
118	0.580766952401619	0.838466095196763	0.419233047598381
119	0.571798247535298	0.856403504929404	0.428201752464702
120	0.563712108109974	0.872575783780053	0.436287891890026
121	0.58394552087313	0.83210895825374	0.41605447912687
122	0.536266955415861	0.927466089168278	0.463733044584139
123	0.551883661250912	0.896232677498176	0.448116338749088
124	0.573614214543265	0.85277157091347	0.426385785456735
125	0.551712392055219	0.896575215889561	0.448287607944781
126	0.502590074544107	0.994819850911787	0.497409925455893
127	0.480179314443606	0.960358628887212	0.519820685556394
128	0.425042887170208	0.850085774340415	0.574957112829792
129	0.439532594877236	0.879065189754472	0.560467405122764
130	0.397160077908624	0.794320155817248	0.602839922091376
131	0.359855609383133	0.719711218766267	0.640144390616867
132	0.307188238265935	0.61437647653187	0.692811761734065
133	0.322992306708315	0.64598461341663	0.677007693291685
134	0.38236371889931	0.76472743779862	0.61763628110069
135	0.586182958335772	0.827634083328455	0.413817041664228
136	0.509416422802484	0.981167154395031	0.490583577197516
137	0.445404822177674	0.890809644355348	0.554595177822326
138	0.368057438631944	0.736114877263888	0.631942561368056
139	0.312395351824833	0.624790703649666	0.687604648175167
140	0.51988370257557	0.96023259484886	0.48011629742443
141	0.532991182305024	0.934017635389952	0.467008817694976
142	0.424833420472175	0.84966684094435	0.575166579527825
143	0.326372646590854	0.652745293181707	0.673627353409146
144	0.702863406558344	0.594273186883311	0.297136593441656
145	0.659691001809013	0.680617996381975	0.340308998190988
146	0.500898862223595	0.99820227555281	0.499101137776405

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