Free Statistics

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Author's title

Author*Unverified author*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationFri, 27 Dec 2013 08:43:10 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Dec/27/t1388152569ea8unvcosllfjab.htm/, Retrieved Thu, 28 Mar 2024 13:07:58 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=232634, Retrieved Thu, 28 Mar 2024 13:07:58 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact139
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Multiple Regression] [] [2013-12-27 13:43:10] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
1.031668344	1.035613038	1	1	0	0	0	15	0	0	1
0.9553839355	0.9380094622	2	1	0	0	0	13	1	0	0
0.9940540475	0.9275069589	1	0	0	0	0	7	1	0	0
1.256299821	1.01005429	1	0	0	0	0	10	0	0	1
0.9976028808	0.9580490116	1	0	0	0	0	14	0	0	1
1.095214926	0.9744861518	2	0	0	0	0	8	1	0	0
1.058916131	1.043225288	2	0	0	0	0	17	1	0	0
1.401933355	1.044260382	2	0	0	0	0	12	1	0	0
1.153790354	1.119445505	2	0	0	0	0	14	0	0	1
1.062735446	1.064611407	1	1	0	0	0	7	1	0	0
1.153681161	1.149938126	2	0	0	0	0	10	1	0	0
0.9376734336	0.8349192025	2	0	0	0	0	13	0	0	1
0.9733822325	0.8778608987	1	1	0	0	0	9	0	0	0
1.043603911	0.9531628052	1	0	1	0	0	9	1	0	0
1.005351029	1.036424261	2	0	0	0	0	12	0	0	1
1.077336515	1.017956436	1	1	0	0	0	10	0	1	0
1.170554919	1.099880419	2	1	0	0	0	8	1	0	0
1.047816486	0.9799849397	1	1	0	0	0	9	0	1	0
1.04473054	1.052958536	2	1	0	0	0	9	1	0	0
1.040032587	1.0530173	1	1	0	0	0	8	1	0	0
0.8632853912	0.8868785118	2	1	0	0	0	16	0	1	0
1.112719131	1.050321804	2	0	1	0	0	8	0	0	1
1.159616411	1.073955527	2	0	1	0	0	10	0	1	0
1.125803925	0.9523522139	2	0	1	0	0	11	1	0	0
1.093679445	0.861966643	1	1	0	0	0	11	0	0	0
0.9495089886	0.8540751729	1	0	1	0	0	11	1	0	0
0.9304434596	0.9531972544	1	1	0	0	0	10	1	0	0
0.9615460638	0.869067051	1	0	1	0	0	9	1	0	0
0.8798745279	0.9870050959	2	1	0	0	0	9	0	1	0
1.017133686	1.048239013	1	0	0	0	0	13	0	0	0
1.066748728	0.913090504	2	1	0	0	0	9	0	0	1
1.236525898	0.9809764315	1	1	0	0	0	10	1	0	0
1.041907192	1.077047311	2	1	0	0	0	8	0	1	0
0.9908418883	1.034355417	1	1	0	0	0	10	0	0	0
1.050700131	0.8950437958	1	1	0	0	0	9	0	1	0
0.957375918	0.8244729747	2	0	1	0	0	11	0	0	1
1.105034743	1.002922556	2	0	1	0	0	10	0	0	1
1.00540479	0.89620558	2	1	0	0	0	11	0	0	1
1.093693953	0.7798586946	2	0	1	0	0	11	0	1	0
1.132567804	1.077535037	2	0	1	0	0	8	1	0	0
1.037782508	1.058371756	1	1	0	0	0	7	1	0	0
1.022677809	0.8655596467	2	0	0	0	0	9	0	0	1
1.049708728	1.031451353	2	0	1	0	0	9	0	0	1
0.9769548695	0.9428025003	1	1	0	0	0	9	0	1	0
0.961407629	0.9496174045	1	0	1	0	0	8	0	0	1
1.044630198	0.948935904	2	1	0	0	0	9	0	0	1
1.025766659	1.005074611	1	1	0	0	0	11	0	1	0
1.150796888	1.037838089	1	1	0	0	0	10	0	0	1
1.023118108	1.067873704	2	0	0	1	0	10	0	0	1
1.345300566	1.029753063	2	1	0	0	0	10	0	0	1
1.070641177	1.053465813	2	1	0	0	0	12	0	0	1
1.014600704	1.03618263	2	1	0	0	0	10	0	0	1
1.120224839	1.041066389	2	1	0	0	0	27	0	1	0
0.9490485386	0.9432087201	1	1	0	0	0	10	0	0	1
1.151360677	0.9544883313	2	0	1	0	0	10	0	0	1
1.083258391	0.9804706205	2	1	0	0	0	11	0	0	1
1.157865775	1.03273315	2	0	1	0	0	9	0	1	0
1.065616531	1.009104845	2	0	1	0	0	12	0	0	0
1.027739462	0.9130540465	2	0	1	0	0	9	1	0	0
1.003808193	0.8764529825	1	0	1	0	0	9	0	0	0
0.9628264643	0.9361145997	1	1	0	0	0	10	0	0	1
0.959674196	0.854129686	1	0	1	0	0	12	1	0	0
1.001860082	1.039907471	1	1	0	0	0	10	0	0	1
1.086334594	1.052786086	1	1	0	0	0	7	0	0	1
0.865198774	0.9881217641	1	1	0	0	0	10	0	0	0
1.041599543	1.112311321	2	1	0	0	0	11	0	1	0
1.056606813	1.039945232	2	1	0	0	0	9	0	0	0
1.002080684	0.8281982146	2	1	0	0	0	12	0	1	0
1.005048132	0.9753758406	1	1	0	0	0	12	0	1	0
1.059831696	0.9798243182	1	1	0	0	0	9	0	0	0
1.129638188	1.091408701	1	1	0	0	0	11	0	1	0
1.004258359	0.9648798843	1	0	1	0	0	9	0	0	0
1.082349234	1.046648867	2	1	0	0	0	12	0	0	1
1.115659907	1.09181819	1	0	1	0	0	9	1	0	0
0.9318132682	0.9051514736	2	1	0	0	0	11	0	0	1
1.135171903	1.132059745	2	1	0	0	0	8	0	0	1
1.009882714	1.024171186	1	0	1	0	0	11	1	0	0
1.032490341	0.9844492461	2	0	0	0	1	12	0	0	1
0.9187003088	0.8841481262	2	1	0	0	0	10	0	0	1
1.005580508	0.9825275261	2	1	0	0	0	10	0	0	0
1.246693485	1.092645247	1	1	0	0	0	10	0	0	1
1.098052869	0.9159218095	1	0	1	0	0	16	0	1	0
1.070131141	0.9744618899	1	1	0	0	0	11	0	1	0
1.022299578	1.120013632	1	1	0	0	0	9	0	0	1
0.8973030099	0.8486030803	2	1	0	0	0	10	0	1	0
1.09611732	0.9155279606	2	0	0	0	0	8	0	0	1
1.016832424	0.9211714515	2	0	0	0	1	11	0	0	1
1.153145748	1.015366915	2	1	0	0	0	6	0	0	1
1.222368916	0.9364530761	1	0	0	0	0	16	1	0	0
0.995973642	0.9448140375	2	1	0	0	0	10	0	1	0
0.9777292962	1.044128388	2	1	0	0	0	12	0	0	1
1.11143226	1.047528987	1	1	0	0	0	9	0	0	1
1.012260869	0.8297035656	1	0	1	0	0	9	1	0	0
1.022440894	0.9134360588	1	1	0	0	0	10	0	0	0
0.9043990081	0.9243558207	1	1	0	0	0	13	0	0	1
0.9941547916	0.9540308752	2	0	0	1	0	18	0	0	1
1.111750004	0.9982756617	2	0	1	0	0	10	1	0	0
1.267599445	1.173821682	2	1	0	0	0	11	0	0	0
0.975109873	1.03745852	2	0	1	0	0	10	0	0	1
0.9570567091	0.9453855406	2	0	1	0	0	11	0	0	0
1.09487339	1.088995144	1	1	0	0	0	10	1	0	0
0.9497391065	0.881932085	1	1	0	0	0	9	0	0	1
0.9765547942	0.9947002229	1	1	0	0	0	11	0	1	0
1.066176007	1.030311016	2	1	0	0	0	8	0	1	0
0.9916712639	1.011991475	1	1	0	0	0	12	0	0	1
1.072358739	0.9231101388	1	0	1	0	0	10	1	0	0
0.9678423119	0.9545998771	1	1	0	0	0	12	0	0	1
1.136423991	0.9433032669	2	0	1	0	0	11	1	0	0
1.104921421	1.064103868	1	1	0	0	0	7	1	0	0
1.116759203	0.9780428897	2	0	0	1	0	14	0	1	0
1.016992908	0.9586513962	1	1	0	0	0	11	0	0	1
1.0740409	1.018301395	2	0	1	0	0	11	1	0	0
1.027747365	1.05688597	1	1	0	0	0	11	0	1	0
1.145567291	1.099517342	1	1	0	0	0	10	1	0	0
1.174131189	0.9306987319	1	1	0	0	0	8	0	1	0
0.9399160929	0.8913594454	2	1	0	0	0	13	0	1	0
1.11773554	1.082397425	1	0	1	0	0	12	0	0	1
0.8511649688	0.8526090152	2	0	1	0	0	10	1	0	0
0.9662341416	0.9652309629	2	0	1	0	0	10	0	0	1
1.18985168	0.9674969891	2	1	0	0	0	12	0	0	0
0.970374841	1.036657736	2	0	0	1	0	10	0	0	1
1.326556395	1.042635612	1	1	0	0	0	13	0	0	1
1.129332685	0.9424319296	1	1	0	0	0	10	0	0	0
0.9521354977	0.9380641944	2	1	0	0	0	11	0	0	0
0.9139253053	0.959086879	1	0	0	1	0	10	1	0	0
1.153451037	1.093441682	1	1	0	0	0	12	0	1	0
0.9744727946	0.9166397112	2	0	0	0	1	10	1	0	0
0.9465080501	0.9554462826	1	1	0	0	0	10	0	0	1
1.085659476	0.9357251745	2	0	1	0	0	9	1	0	0
0.9859510173	1.099036806	2	1	0	0	0	12	0	1	0
1.047950757	0.9632607541	1	1	0	0	0	11	1	0	0
0.9672555112	0.9131338836	1	1	0	0	0	13	1	0	0
0.8331435242	0.8340324191	2	0	0	0	0	9	0	0	0
1.129123991	1.049797871	1	0	0	0	1	7	1	0	0
0.9391239117	0.903998455	1	0	0	1	0	12	0	0	0
0.9566524107	1.011000201	2	0	0	1	0	7	1	0	0
0.8476773795	0.9912718673	1	1	0	0	0	12	0	0	1
1.17599713	1.027363264	2	1	0	0	0	10	1	0	0
0.9799409774	0.8830251175	2	0	1	0	0	12	0	0	1
1.076937959	1.12976376	2	1	0	0	0	7	0	0	0
1.068753555	0.950587607	2	0	1	0	0	10	1	0	0
1.011213187	1.066464224	1	0	0	0	0	10	0	0	0
1.018770954	0.9448760685	1	1	0	0	0	12	0	1	0
0.9963035011	1.007704125	2	0	0	0	0	10	0	0	0
1.115721175	1.01738937	2	0	1	0	0	9	1	0	0
1.026542022	0.9935697693	2	1	0	0	0	11	0	1	0
0.9510620468	0.9859939575	1	0	1	0	0	6	0	1	0
1.130770925	1.119832611	1	0	0	0	1	14	0	0	1
1.098683434	1.061464296	1	1	0	0	0	8	0	1	0
1.121182207	1.118761932	2	0	0	0	1	11	1	0	0
0.9646055026	0.8240502779	2	1	0	0	0	15	0	1	0
0.9762185302	0.8785597381	2	0	0	0	1	11	0	0	1
1.041166933	1.132146713	1	0	0	1	0	11	0	0	0
1.006086293	0.9447727212	1	0	1	0	0	12	0	0	1
0.9847144831	0.8542017287	2	1	0	0	0	7	0	0	0
1.048673407	0.9598176958	1	0	0	1	0	12	1	0	0
1.009649279	0.9687937378	1	0	1	0	0	12	1	0	0
1.134258501	1.084314813	1	0	0	0	1	12	0	0	1
1.191847831	1.142659258	1	0	0	1	0	7	0	1	0
0.9719473469	0.9088765376	2	0	1	0	0	15	1	0	0
0.861855136	0.8382070631	1	0	0	1	0	10	0	0	1
1.047227698	1.066942236	1	1	0	0	0	11	0	1	0
1.02059827	0.9870084702	1	1	0	0	0	13	0	0	1
0.8512180793	0.8824531509	2	1	0	0	0	9	0	1	0
1.092856007	0.9546400664	1	1	0	0	0	11	0	1	0
1.06082764	0.9471935725	1	0	1	0	0	13	0	1	0
1.033088444	0.9615058136	1	1	0	0	0	13	0	0	1
1.022280746	0.9825101689	1	0	0	1	0	10	0	1	0
0.9412436314	0.9163139169	2	1	0	0	0	13	0	0	1
1.087078513	0.9160540486	2	0	1	0	0	11	1	0	0
1.188845468	1.078814808	1	1	0	0	0	14	0	0	1
1.025837916	0.9361995987	2	1	0	0	0	11	0	1	0
0.9835737222	1.064081902	2	0	0	1	0	12	0	0	1
1.131151553	1.048101905	1	0	0	0	1	14	1	0	0
0.9041159298	0.9260627021	1	1	0	0	0	13	0	0	1
0.973699552	1.088457331	1	0	0	1	0	10	0	0	1
1.469409133	1.085350992	2	0	0	0	1	13	0	0	1
1.109090985	0.9671635741	2	0	0	0	1	11	0	0	1
1.154556392	1.098755689	2	0	0	0	1	10	0	0	1
1.004746215	1.002872331	2	1	0	0	0	11	0	0	1
1.161053049	0.9545059161	1	1	0	0	0	11	0	0	0
1.058739528	1.017443678	2	1	0	0	0	8	0	0	1
1.006087904	0.980936381	1	0	0	0	1	11	0	0	1
0.9862958176	0.9117586584	2	1	0	0	0	8	1	0	0
1.071648854	1.057707412	2	0	0	0	1	9	0	0	1
1.033872544	0.9004821193	1	0	0	0	1	9	0	0	1
1.041103015	1.016048872	2	1	0	0	0	12	0	0	1
1.003798221	1.024011673	2	1	0	0	0	10	0	0	1
0.9452167239	0.9406485838	1	0	0	0	1	12	0	0	0
0.9909857887	1.014433414	1	0	0	1	0	11	0	0	1
1.046556032	1.025463972	2	1	0	0	0	11	0	0	1
1.00177666	0.9870158649	2	0	0	0	1	10	0	0	0
0.9327210046	0.9664026782	1	1	0	0	0	12	1	0	0
1.208618858	1.120053279	2	0	0	0	0	10	1	0	0
1.033235037	0.9239640501	1	1	0	0	0	12	0	1	0
1.087380443	0.9810871739	2	0	1	0	0	8	1	0	0
1.057620143	1.018679656	1	0	1	0	0	12	1	0	0
1.033824369	0.8912483199	1	0	0	0	0	10	0	0	1
1.214607952	1.015495115	1	0	1	0	0	10	0	1	0
1.002613975	1.142189713	1	1	0	0	0	11	0	0	0
0.9072108829	0.931841035	1	1	0	0	0	13	1	0	0
1.445153187	1.061931889	2	1	0	0	0	14	0	0	1
0.9873915744	0.8955743698	1	1	0	0	0	11	0	1	0
0.9704601794	0.9251997659	1	0	0	0	0	10	0	1	0
0.8488601277	0.8419268763	2	0	0	1	0	12	0	0	1
1.098090155	1.013015799	1	0	0	0	0	11	0	0	0
1.082042061	0.9118809923	1	1	0	0	0	12	0	0	1
0.9980286736	0.9457453305	1	1	0	0	0	10	0	0	1
0.9013807962	0.8618025366	1	1	0	0	0	11	0	0	1
1.035640488	0.9617374791	2	0	1	0	0	10	1	0	0
1.046114363	1.0487943	1	0	0	0	1	13	0	0	0
0.9400052462	0.9054100166	1	1	0	0	0	13	0	1	0
0.9045886063	0.8706337962	1	1	0	0	0	15	0	0	1
1.163765144	1.113084404	1	0	0	1	0	7	0	0	0
0.9801406161	0.8968322477	2	1	0	0	0	12	1	0	0
1.078725259	1.067660511	1	0	1	0	0	13	0	0	1
0.9493251155	0.9983513748	2	1	0	0	0	11	1	0	0
0.9829917966	0.9771459501	1	1	0	0	0	11	0	0	0
1.008856091	1.127771666	1	0	0	1	0	14	1	0	0
0.9853259125	0.8861357105	1	0	1	0	0	13	0	0	1
1.089702445	0.9622488585	1	1	0	0	0	15	0	0	1
0.9572210982	0.9143792502	1	0	1	0	0	12	0	0	1
1.012770656	0.9169093751	2	1	0	0	0	12	0	0	1
0.9878382737	1.043121587	1	1	0	0	0	13	0	1	0
1.485091227	1.081249509	1	1	0	0	0	13	0	0	1
1.059638157	0.9714668259	2	0	0	0	1	10	1	0	0
1.023637734	0.9984455108	2	0	1	0	0	14	1	0	0
1.054869316	0.9517476793	1	0	1	0	0	12	0	0	1
0.9753349719	0.9287042249	1	1	0	0	0	10	0	0	1
1.129535221	0.9621183481	1	0	0	1	0	12	0	0	0
1.135842454	0.9866064481	1	0	1	0	0	13	1	0	0
1.331475991	0.9197257023	1	0	1	0	0	13	1	0	0
1.224521918	0.9408318663	1	0	1	0	0	12	1	0	0
1.454314206	1.148685801	1	1	0	0	0	8	1	0	0
1.136024867	1.113674162	2	0	0	1	0	11	0	0	1
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1.072762289	0.9948991459	1	0	1	0	0	11	1	0	0
1.051083725	0.9952025218	2	1	0	0	0	13	1	0	0
1.159479918	0.973151048	1	1	0	0	0	15	0	0	1
1.094701598	0.8918496588	1	0	1	0	0	11	1	0	0
1.03484235	0.9899751793	1	0	0	0	0	12	0	1	0
1.167361928	1.096380501	1	1	0	0	0	14	0	0	0
1.176212948	1.023977079	2	0	0	1	0	10	1	0	0
1.002074318	0.9385311338	2	1	0	0	0	12	0	1	0
1.582739087	1.03927314	2	1	0	0	0	10	0	0	1
1.365783982	1.054382438	2	1	0	0	0	16	0	0	1
0.9780862422	1.010741806	2	0	0	0	0	8	0	0	1
1.123763487	1.052628383	2	0	0	0	0	12	0	0	0
1.395919629	1.220110221	2	0	0	0	1	15	0	0	1
0.9168248138	0.9817980074	1	0	1	0	0	15	1	0	0
1.036153486	1.039806388	1	1	0	0	0	12	1	0	0
1.016720957	0.9926254239	2	1	0	0	0	9	0	1	0
0.9618305189	0.9152253226	1	0	0	1	0	16	0	0	0
1.13501868	0.9359016716	1	1	0	0	0	12	0	0	0
1.13633612	1.057758758	1	1	0	0	0	11	0	0	0
1.43687096	1.077868053	1	1	0	0	0	13	0	0	1
1.127048958	1.093366423	1	0	0	0	1	13	0	0	1
1.06015627	1.028274855	1	1	0	0	0	13	0	0	1
1.040018769	0.945651801	2	0	0	1	0	11	0	0	1
0.9832199579	0.8803131799	1	1	0	0	0	13	0	1	0
0.9769028596	0.908222409	2	1	0	0	0	9	0	0	1
0.9339919132	0.9270073811	1	0	0	0	1	13	0	0	1
1.083232564	1.093364068	1	0	1	0	0	13	1	0	0
1.365355198	1.142041791	1	1	0	0	0	13	1	0	0
1.011092066	0.9713630841	2	1	0	0	0	12	0	1	0
1.240851727	0.9957371673	2	0	0	1	0	11	0	0	0
0.9255606593	0.9479597456	2	0	0	1	0	10	0	0	0
0.9602650266	0.8659902539	2	1	0	0	0	12	0	0	1
0.9184662241	0.8846704537	2	0	0	0	1	15	0	0	1
0.9611281445	0.9892284595	1	0	1	0	0	12	0	1	0
0.9995973788	0.9299021026	2	0	0	1	0	9	1	0	0
1.06731975	1.000953252	2	1	0	0	0	11	0	0	1
1.250997363	0.9595783572	2	0	0	1	0	10	0	0	1
1.021712355	0.8749968987	1	0	1	0	0	12	0	0	1
1.038934352	0.9143664486	2	1	0	0	0	12	1	0	0
1.186421654	1.120229307	2	1	0	0	0	12	0	0	1
0.9801891426	0.9542592064	2	1	0	0	0	13	0	1	0
1.002720674	0.9624797151	2	1	0	0	0	12	0	0	1
1.022354382	0.9494681934	1	0	0	0	1	14	0	0	1
1.40155328	1.032072346	1	1	0	0	0	16	1	0	0
0.8736981772	0.9064011633	2	1	0	0	0	12	0	0	1
0.9153468343	0.8870324216	2	1	0	0	0	12	0	1	0
1.039340689	0.97863795	1	0	1	0	0	10	0	1	0
0.9803029228	0.8822814795	2	0	0	0	1	13	0	1	0
1.10643037	1.098801494	1	0	0	0	1	14	0	0	1
1.016002684	0.882692485	2	0	0	1	0	9	0	0	1
0.9117893357	0.9151823301	2	0	0	0	1	14	0	0	1
1.098857514	0.9910186828	1	1	0	0	0	14	0	0	1
1.304894303	0.9637653884	1	1	0	0	0	16	0	0	1
1.013427865	0.9392987014	1	0	0	0	0	12	0	0	0
1.04149924	1.002655325	1	1	0	0	0	12	1	0	0
1.052215601	0.9642088699	1	1	0	0	0	12	0	0	1
0.9933864084	0.9973812872	2	1	0	0	0	12	1	0	0
1.504092042	1.117353119	1	1	0	0	0	13	0	1	0
0.9910385602	0.975002959	2	0	0	0	0	12	0	0	1
1.11685932	1.033963317	1	0	0	1	0	13	0	0	1
1.023859972	1.199372895	2	0	0	1	0	9	0	0	1
1.194856803	1.136611171	2	0	0	1	0	9	0	1	0
0.9743759739	0.9987773293	1	0	0	1	0	12	0	0	1
1.012582759	0.9773151138	2	0	0	0	1	14	0	0	1
0.9719597735	0.99651757	1	0	0	0	1	13	0	0	1
0.951353319	1.00613684	2	1	0	0	0	14	0	0	1
1.060876131	0.9413744504	2	0	1	0	0	12	0	1	0
1.067856069	1.07685225	2	0	1	0	0	16	0	0	1
1.022469008	0.8945607813	2	0	0	0	0	12	0	1	0
1.202401183	0.9830845105	1	0	1	0	0	13	1	0	0
1.011226188	0.9333215101	1	0	0	1	0	11	0	0	1
0.9748708313	0.9258253915	2	1	0	0	0	12	1	0	0
1.115788384	1.095542054	1	0	1	0	0	15	1	0	0
1.052214982	1.021874358	1	1	0	0	0	13	0	0	1
1.067997809	0.9963402419	2	1	0	0	0	13	0	0	0
0.9727154836	0.8946161995	1	0	0	1	0	14	0	0	1
1.037477263	1.032670384	2	0	0	1	0	9	0	0	0
1.082478122	1.085219272	2	0	0	1	0	9	0	0	1
1.063325248	0.9567136343	2	1	0	0	0	12	0	0	1
0.9935846733	0.8353446386	1	0	1	0	0	12	0	0	1
0.9930716319	1.018958916	1	1	0	0	0	12	0	0	1
1.061053668	1.022690931	2	1	0	0	0	12	0	0	0
0.9304827642	0.9905914058	1	1	0	0	0	8	1	0	0
1.043150654	0.8951957445	1	0	1	0	0	12	1	0	0
0.9968207808	0.9675242252	1	0	0	1	0	10	0	0	1
1.106266534	1.021066133	1	1	0	0	0	10	0	1	0
1.053202881	1.007953539	2	1	0	0	0	11	0	0	1
0.916766668	0.8574553296	1	0	1	0	0	12	1	0	0
1.061487336	1.064052108	1	1	0	0	0	11	0	1	0
1.092335951	1.048720655	2	0	0	1	0	9	0	0	0
1.032257226	1.047272481	2	0	0	1	0	11	0	0	1
0.955920667	0.9645808175	1	0	0	0	1	13	0	0	0
1.295575564	0.9092550433	1	1	0	0	0	10	1	0	0
1.028248706	0.9459300962	1	1	0	0	0	14	0	0	1
1.074095039	1.029768981	2	1	0	0	0	12	0	0	1
1.056109583	0.9163769598	1	0	0	0	1	12	0	1	0
1.111495738	1.040837361	1	0	0	0	0	12	0	0	0
1.006321244	0.8718389286	2	0	0	0	1	17	0	0	1
0.9311115021	1.013951468	2	0	0	0	1	15	0	0	1
1.045904801	1.084146446	1	0	0	1	0	10	1	0	0
0.9943289105	0.9537978308	2	1	0	0	0	9	0	0	0
1.103180891	0.9328020043	1	0	0	0	1	25	0	0	1
1.059130611	0.9129327838	2	0	0	0	1	11	1	0	0
0.982785314	0.8377649802	1	0	1	0	0	12	1	0	0
1.047580146	1.013871642	1	1	0	0	0	12	0	1	0
1.0862729	1.069135198	1	1	0	0	0	11	0	0	1
1.185276676	1.141500048	2	0	0	0	1	11	1	0	0
1.151966281	1.033044657	2	0	1	0	0	11	1	0	0
1.009049332	0.964974365	1	0	0	1	0	9	0	0	1
0.9964382942	0.9414030834	2	0	0	1	0	11	0	0	1
0.966750214	1.006362018	2	0	0	1	0	10	0	0	0
1.166524018	1.088852203	2	0	1	0	0	11	0	0	1
1.008390705	0.9206770399	1	0	0	0	0	12	0	0	1
0.9962124128	0.9547320203	1	0	0	0	0	13	0	0	0
1.047529849	0.8988875685	1	0	1	0	0	12	1	0	0
1.07009208	1.024165766	2	1	0	0	0	12	1	0	0
0.9685400615	0.9286561271	1	1	0	0	0	10	0	1	0
0.9592786249	0.9453069593	2	0	0	0	1	13	0	0	0
1.224389572	0.9558999255	2	1	0	0	0	13	0	0	1
0.9506600661	0.8761824054	2	0	0	1	0	11	0	0	1
1.037141906	0.9999223454	2	1	0	0	0	11	0	0	1
1.086900135	0.9823353567	2	0	0	0	1	13	0	0	1
1.090833619	1.068457228	1	1	0	0	0	13	0	0	0
0.8678004252	0.9000997649	2	1	0	0	0	12	0	0	1
1.0631485	1.108125575	1	0	0	0	1	11	0	0	0
1.141837805	1.090508037	1	0	0	1	0	10	0	0	1
1.276504832	1.049448444	1	1	0	0	0	11	0	0	1
1.027636783	1.004915779	1	1	0	0	0	13	0	0	1
1.038458877	1.114112547	1	0	0	0	1	15	0	0	1
0.9709326323	0.92674254	1	0	1	0	0	14	0	0	1
0.990001771	1.085478853	1	0	0	0	0	20	0	1	0
1.043475945	0.9785123642	2	0	1	0	0	9	0	1	0
1.012797771	1.006894925	1	0	0	1	0	10	0	0	1
1.043237534	0.8822120326	1	1	0	0	0	12	0	1	0
1.047993527	0.9852730142	1	1	0	0	0	10	0	1	0
1.039758744	1.022124969	1	1	0	0	0	12	0	1	0
1.047746817	0.9151993434	2	1	0	0	0	12	0	0	1
1.154162678	1.059211476	2	0	0	0	0	11	1	0	0
0.9736780005	0.9983999507	1	0	0	0	1	10	0	0	0
0.9596346894	0.8954369419	2	0	0	0	0	13	0	0	1
1.023450662	1.071310236	1	1	0	0	0	12	0	0	1
1.052643677	0.9619853052	1	1	0	0	0	9	0	0	1
1.023786427	0.9030955312	1	0	0	0	0	14	0	1	0
1.068136266	1.000349428	2	1	0	0	0	12	0	0	1
1.18361422	1.017080032	1	1	0	0	0	13	0	0	1
1.347717714	0.9700769744	1	0	0	0	0	13	0	0	1
0.9911396037	0.9230742665	2	1	0	0	0	17	0	0	1
1.045054638	1.000072511	1	1	0	0	0	14	1	0	0
1.186509636	1.010673091	1	1	0	0	0	13	0	1	0
0.8793799556	0.9137104309	2	0	0	0	0	14	0	1	0
1.147894849	1.180016778	1	0	0	1	0	7	1	0	0
0.9891919034	0.9966759149	2	1	0	0	0	14	0	1	0
0.8961533808	0.816113642	1	0	0	0	0	12	0	1	0
1.055063913	1.053839907	1	0	0	1	0	9	1	0	0
1.147802766	1.127778649	1	1	0	0	0	15	1	0	0
1.056666203	1.016355783	2	1	0	0	0	11	1	0	0
1.011811987	0.9052421316	1	0	0	1	0	13	1	0	0
0.9969010653	0.977361957	2	0	0	0	1	15	1	0	0
1.122143651	0.9568790045	1	0	1	0	0	13	1	0	0
0.9639774029	0.9168677205	1	1	0	0	0	9	0	0	1
1.090443358	0.9473980041	1	0	0	0	1	20	0	0	0
0.9268307044	0.9046965781	2	0	0	0	1	16	0	0	1
1.06063633	1.075875418	1	1	0	0	0	12	0	0	1
1.042891463	0.9880019361	2	0	0	0	1	15	0	0	0
0.9920119118	1.006918967	1	0	0	0	1	14	0	0	0
1.09985039	0.9786364841	1	1	0	0	0	11	0	0	1
0.9587835531	0.848354094	2	0	0	0	0	13	1	0	0
1.142783421	0.908560697	1	0	1	0	0	14	0	0	1
0.9507118222	0.8918563327	1	0	0	0	0	12	0	0	0
0.9472427619	0.9191555262	1	0	0	0	1	16	0	0	1
0.9845733441	1.068020113	2	0	0	1	0	9	1	0	0
1.049777158	0.9901061597	1	0	1	0	0	9	0	1	0
1.08554497	1.043388125	1	0	0	0	1	9	0	1	0
1.040149151	0.9959156723	1	1	0	0	0	10	1	0	0
1.172544178	0.842933011	2	1	0	0	0	11	0	0	1
0.9298231234	0.9760495631	1	1	0	0	0	11	0	0	0
1.215624475	1.008711627	1	1	0	0	0	9	0	1	0
1.053126386	0.983555253	2	0	0	1	0	11	1	0	0
0.8454275446	0.8455058511	2	0	0	0	1	13	0	0	0
1.079860676	1.002799446	1	0	1	0	0	13	0	0	1
1.031752044	1.037470189	2	0	0	1	0	12	0	0	1
0.9697716757	0.9892099245	2	0	0	0	1	28	0	0	1
0.9865642426	0.9083150795	2	1	0	0	0	12	0	1	0
1.404444112	1.010355786	1	0	0	0	1	14	0	0	1
1.167299533	1.039532518	2	0	0	0	1	14	1	0	0
1.105056183	0.9342170546	1	0	0	0	1	17	0	0	1
0.9502876255	0.8581732177	2	1	0	0	0	13	0	1	0
0.9602271176	0.8377532803	2	0	1	0	0	11	0	1	0
0.9909663244	0.9613682572	2	1	0	0	0	13	0	0	0
1.607365087	0.9754559575	2	1	0	0	0	14	0	0	1
1.034632412	0.9419373966	1	0	0	0	0	14	0	1	0
1.099221332	0.9574503409	2	1	0	0	0	12	0	0	1
1.016149323	0.9255545032	1	0	0	0	1	16	0	0	0
1.109870895	0.9789280241	2	1	0	0	0	9	0	0	0
1.217644903	0.9913271191	1	0	0	0	0	11	0	0	1
0.9580802041	0.9770013771	2	0	1	0	0	13	1	0	0
1.024257013	1.030531936	1	1	0	0	0	10	0	1	0
1.009842052	0.9961667761	2	1	0	0	0	12	0	1	0
1.001998516	0.9294443677	2	1	0	0	0	9	1	0	0
1.101060014	0.8316419278	1	0	0	0	0	12	0	1	0
0.925073358	0.8222212438	2	1	0	0	0	10	1	0	0
0.8734805779	0.9141948785	2	1	0	0	0	12	0	1	0
1.054827962	1.032877756	1	1	0	0	0	15	0	0	1
1.004390418	0.9835911349	1	1	0	0	0	15	0	1	0
1.017714801	0.897941237	2	0	0	0	0	29	0	1	0
1.012324526	0.9438807637	2	1	0	0	0	14	0	1	0
0.9950093892	1.040330368	1	1	0	0	0	13	0	1	0
1.061175403	1.025817103	1	0	0	0	0	13	1	0	0
1.205241456	0.8282827033	2	1	0	0	0	18	0	1	0
1.087456758	0.9598901225	1	0	0	0	1	17	1	0	0
1.053885217	0.9962587761	1	0	0	0	0	15	1	0	0
1.125262063	0.9762497929	2	1	0	0	0	13	1	0	0
0.9587633039	0.9638772353	1	1	0	0	0	12	0	1	0
1.176931672	0.9944474647	2	1	0	0	0	12	1	0	0
1.033280554	1.021800736	2	0	0	0	0	21	0	1	0
0.9974331558	0.938034415	2	1	0	0	0	12	0	0	1
0.8482924152	0.8483402312	1	0	1	0	0	19	0	1	0
0.9742475107	0.9403678334	2	1	0	0	0	12	0	0	1
1.060718286	0.9510406722	1	0	1	0	0	21	0	1	0
1.068529756	0.8979822283	2	0	1	0	0	12	1	0	0
0.9950752192	0.9476578386	1	0	0	0	0	20	0	0	1
1.149625718	1.110783341	2	0	0	1	0	15	1	0	0
0.967225391	0.9571964079	1	1	0	0	0	15	0	0	1
1.275273581	1.018552114	1	0	0	1	0	12	0	0	0
1.084877255	1.096250333	1	0	0	0	0	16	1	0	0
0.9812736383	1.028085167	1	1	0	0	0	12	0	1	0
0.9964905942	0.9367297253	2	1	0	0	0	11	0	0	1
0.9965156455	0.9933065125	1	0	0	0	0	20	0	0	1
1.045805373	0.9591902001	2	1	0	0	0	10	0	1	0




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time360 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 360 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232634&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]360 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=232634&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232634&T=0

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time360 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.wessa.net







Multiple Linear Regression - Estimated Regression Equation
OQ120y[t] = + 0.33116 + 0.705004OQ107x[t] -0.002781Sex[t] + 0.00800751Lihue[t] + 0.0292538Kane[t] -0.0171184CPRL[t] -0.00791902Mili[t] + 0.00107758Visits[t] + 0.0355727Cauc[t] + 0.00284969HawPac[t] + 0.00612137Asian[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
OQ120y[t] =  +  0.33116 +  0.705004OQ107x[t] -0.002781Sex[t] +  0.00800751Lihue[t] +  0.0292538Kane[t] -0.0171184CPRL[t] -0.00791902Mili[t] +  0.00107758Visits[t] +  0.0355727Cauc[t] +  0.00284969HawPac[t] +  0.00612137Asian[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232634&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]OQ120y[t] =  +  0.33116 +  0.705004OQ107x[t] -0.002781Sex[t] +  0.00800751Lihue[t] +  0.0292538Kane[t] -0.0171184CPRL[t] -0.00791902Mili[t] +  0.00107758Visits[t] +  0.0355727Cauc[t] +  0.00284969HawPac[t] +  0.00612137Asian[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=232634&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232634&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Multiple Linear Regression - Estimated Regression Equation
OQ120y[t] = + 0.33116 + 0.705004OQ107x[t] -0.002781Sex[t] + 0.00800751Lihue[t] + 0.0292538Kane[t] -0.0171184CPRL[t] -0.00791902Mili[t] + 0.00107758Visits[t] + 0.0355727Cauc[t] + 0.00284969HawPac[t] + 0.00612137Asian[t] + e[t]







Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)0.331160.04021088.2363.97603e-161.98802e-16
OQ107x0.7050040.034972220.168.92391e-804.46195e-80
Sex-0.0027810.00521882-0.53290.5942010.2971
Lihue0.008007510.009117030.87830.3799260.189963
Kane0.02925380.01052252.780.005504930.00275246
CPRL-0.01711840.0110914-1.5430.1229560.0614778
Mili-0.007919020.0101731-0.77840.4364450.218223
Visits0.001077580.00106651.010.312480.15624
Cauc0.03557270.008328074.2712.07006e-051.03503e-05
HawPac0.002849690.008878350.3210.7482790.37414
Asian0.006121370.007579360.80760.4194340.209717

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Ordinary Least Squares \tabularnewline
Variable & Parameter & S.D. & T-STATH0: parameter = 0 & 2-tail p-value & 1-tail p-value \tabularnewline
(Intercept) & 0.33116 & 0.0402108 & 8.236 & 3.97603e-16 & 1.98802e-16 \tabularnewline
OQ107x & 0.705004 & 0.0349722 & 20.16 & 8.92391e-80 & 4.46195e-80 \tabularnewline
Sex & -0.002781 & 0.00521882 & -0.5329 & 0.594201 & 0.2971 \tabularnewline
Lihue & 0.00800751 & 0.00911703 & 0.8783 & 0.379926 & 0.189963 \tabularnewline
Kane & 0.0292538 & 0.0105225 & 2.78 & 0.00550493 & 0.00275246 \tabularnewline
CPRL & -0.0171184 & 0.0110914 & -1.543 & 0.122956 & 0.0614778 \tabularnewline
Mili & -0.00791902 & 0.0101731 & -0.7784 & 0.436445 & 0.218223 \tabularnewline
Visits & 0.00107758 & 0.0010665 & 1.01 & 0.31248 & 0.15624 \tabularnewline
Cauc & 0.0355727 & 0.00832807 & 4.271 & 2.07006e-05 & 1.03503e-05 \tabularnewline
HawPac & 0.00284969 & 0.00887835 & 0.321 & 0.748279 & 0.37414 \tabularnewline
Asian & 0.00612137 & 0.00757936 & 0.8076 & 0.419434 & 0.209717 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232634&T=2

[TABLE]
[ROW][C]Multiple Linear Regression - Ordinary Least Squares[/C][/ROW]
[ROW][C]Variable[/C][C]Parameter[/C][C]S.D.[/C][C]T-STATH0: parameter = 0[/C][C]2-tail p-value[/C][C]1-tail p-value[/C][/ROW]
[ROW][C](Intercept)[/C][C]0.33116[/C][C]0.0402108[/C][C]8.236[/C][C]3.97603e-16[/C][C]1.98802e-16[/C][/ROW]
[ROW][C]OQ107x[/C][C]0.705004[/C][C]0.0349722[/C][C]20.16[/C][C]8.92391e-80[/C][C]4.46195e-80[/C][/ROW]
[ROW][C]Sex[/C][C]-0.002781[/C][C]0.00521882[/C][C]-0.5329[/C][C]0.594201[/C][C]0.2971[/C][/ROW]
[ROW][C]Lihue[/C][C]0.00800751[/C][C]0.00911703[/C][C]0.8783[/C][C]0.379926[/C][C]0.189963[/C][/ROW]
[ROW][C]Kane[/C][C]0.0292538[/C][C]0.0105225[/C][C]2.78[/C][C]0.00550493[/C][C]0.00275246[/C][/ROW]
[ROW][C]CPRL[/C][C]-0.0171184[/C][C]0.0110914[/C][C]-1.543[/C][C]0.122956[/C][C]0.0614778[/C][/ROW]
[ROW][C]Mili[/C][C]-0.00791902[/C][C]0.0101731[/C][C]-0.7784[/C][C]0.436445[/C][C]0.218223[/C][/ROW]
[ROW][C]Visits[/C][C]0.00107758[/C][C]0.0010665[/C][C]1.01[/C][C]0.31248[/C][C]0.15624[/C][/ROW]
[ROW][C]Cauc[/C][C]0.0355727[/C][C]0.00832807[/C][C]4.271[/C][C]2.07006e-05[/C][C]1.03503e-05[/C][/ROW]
[ROW][C]HawPac[/C][C]0.00284969[/C][C]0.00887835[/C][C]0.321[/C][C]0.748279[/C][C]0.37414[/C][/ROW]
[ROW][C]Asian[/C][C]0.00612137[/C][C]0.00757936[/C][C]0.8076[/C][C]0.419434[/C][C]0.209717[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=232634&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232634&T=2

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)0.331160.04021088.2363.97603e-161.98802e-16
OQ107x0.7050040.034972220.168.92391e-804.46195e-80
Sex-0.0027810.00521882-0.53290.5942010.2971
Lihue0.008007510.009117030.87830.3799260.189963
Kane0.02925380.01052252.780.005504930.00275246
CPRL-0.01711840.0110914-1.5430.1229560.0614778
Mili-0.007919020.0101731-0.77840.4364450.218223
Visits0.001077580.00106651.010.312480.15624
Cauc0.03557270.008328074.2712.07006e-051.03503e-05
HawPac0.002849690.008878350.3210.7482790.37414
Asian0.006121370.007579360.80760.4194340.209717







Multiple Linear Regression - Regression Statistics
Multiple R0.487626
R-squared0.237779
Adjusted R-squared0.232468
F-TEST (value)44.7657
F-TEST (DF numerator)10
F-TEST (DF denominator)1435
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.0985538
Sum Squared Residuals13.9379

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.487626 \tabularnewline
R-squared & 0.237779 \tabularnewline
Adjusted R-squared & 0.232468 \tabularnewline
F-TEST (value) & 44.7657 \tabularnewline
F-TEST (DF numerator) & 10 \tabularnewline
F-TEST (DF denominator) & 1435 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 0.0985538 \tabularnewline
Sum Squared Residuals & 13.9379 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232634&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.487626[/C][/ROW]
[ROW][C]R-squared[/C][C]0.237779[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.232468[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]44.7657[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]10[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]1435[/C][/ROW]
[ROW][C]p-value[/C][C]0[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]0.0985538[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]13.9379[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=232634&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232634&T=3

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Multiple Linear Regression - Regression Statistics
Multiple R0.487626
R-squared0.237779
Adjusted R-squared0.232468
F-TEST (value)44.7657
F-TEST (DF numerator)10
F-TEST (DF denominator)1435
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.0985538
Sum Squared Residuals13.9379



Parameters (Session):
par1 = 1 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;
Parameters (R input):
par1 = 1 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;
R code (references can be found in the software module):
par3 <- 'No Linear Trend'
par2 <- 'Do not include Seasonal Dummies'
par1 <- '1'
library(lattice)
library(lmtest)
n25 <- 25 #minimum number of obs. for Goldfeld-Quandt test
par1 <- as.numeric(par1)
x <- t(y)
k <- length(x[1,])
n <- length(x[,1])
x1 <- cbind(x[,par1], x[,1:k!=par1])
mycolnames <- c(colnames(x)[par1], colnames(x)[1:k!=par1])
colnames(x1) <- mycolnames #colnames(x)[par1]
x <- x1
if (par3 == 'First Differences'){
x2 <- array(0, dim=c(n-1,k), dimnames=list(1:(n-1), paste('(1-B)',colnames(x),sep='')))
for (i in 1:n-1) {
for (j in 1:k) {
x2[i,j] <- x[i+1,j] - x[i,j]
}
}
x <- x2
}
if (par2 == 'Include Monthly Dummies'){
x2 <- array(0, dim=c(n,11), dimnames=list(1:n, paste('M', seq(1:11), sep ='')))
for (i in 1:11){
x2[seq(i,n,12),i] <- 1
}
x <- cbind(x, x2)
}
if (par2 == 'Include Quarterly Dummies'){
x2 <- array(0, dim=c(n,3), dimnames=list(1:n, paste('Q', seq(1:3), sep ='')))
for (i in 1:3){
x2[seq(i,n,4),i] <- 1
}
x <- cbind(x, x2)
}
k <- length(x[1,])
if (par3 == 'Linear Trend'){
x <- cbind(x, c(1:n))
colnames(x)[k+1] <- 't'
}
x
k <- length(x[1,])
df <- as.data.frame(x)
(mylm <- lm(df))
(mysum <- summary(mylm))
if (n > n25) {
kp3 <- k + 3
nmkm3 <- n - k - 3
gqarr <- array(NA, dim=c(nmkm3-kp3+1,3))
numgqtests <- 0
numsignificant1 <- 0
numsignificant5 <- 0
numsignificant10 <- 0
for (mypoint in kp3:nmkm3) {
j <- 0
numgqtests <- numgqtests + 1
for (myalt in c('greater', 'two.sided', 'less')) {
j <- j + 1
gqarr[mypoint-kp3+1,j] <- gqtest(mylm, point=mypoint, alternative=myalt)$p.value
}
if (gqarr[mypoint-kp3+1,2] < 0.01) numsignificant1 <- numsignificant1 + 1
if (gqarr[mypoint-kp3+1,2] < 0.05) numsignificant5 <- numsignificant5 + 1
if (gqarr[mypoint-kp3+1,2] < 0.10) numsignificant10 <- numsignificant10 + 1
}
gqarr
}
bitmap(file='test0.png')
plot(x[,1], type='l', main='Actuals and Interpolation', ylab='value of Actuals and Interpolation (dots)', xlab='time or index')
points(x[,1]-mysum$resid)
grid()
dev.off()
bitmap(file='test1.png')
plot(mysum$resid, type='b', pch=19, main='Residuals', ylab='value of Residuals', xlab='time or index')
grid()
dev.off()
bitmap(file='test2.png')
hist(mysum$resid, main='Residual Histogram', xlab='values of Residuals')
grid()
dev.off()
bitmap(file='test3.png')
densityplot(~mysum$resid,col='black',main='Residual Density Plot', xlab='values of Residuals')
dev.off()
bitmap(file='test4.png')
qqnorm(mysum$resid, main='Residual Normal Q-Q Plot')
qqline(mysum$resid)
grid()
dev.off()
(myerror <- as.ts(mysum$resid))
bitmap(file='test5.png')
dum <- cbind(lag(myerror,k=1),myerror)
dum
dum1 <- dum[2:length(myerror),]
dum1
z <- as.data.frame(dum1)
z
plot(z,main=paste('Residual Lag plot, lowess, and regression line'), ylab='values of Residuals', xlab='lagged values of Residuals')
lines(lowess(z))
abline(lm(z))
grid()
dev.off()
bitmap(file='test6.png')
acf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Autocorrelation Function')
grid()
dev.off()
bitmap(file='test7.png')
pacf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Partial Autocorrelation Function')
grid()
dev.off()
bitmap(file='test8.png')
opar <- par(mfrow = c(2,2), oma = c(0, 0, 1.1, 0))
plot(mylm, las = 1, sub='Residual Diagnostics')
par(opar)
dev.off()
if (n > n25) {
bitmap(file='test9.png')
plot(kp3:nmkm3,gqarr[,2], main='Goldfeld-Quandt test',ylab='2-sided p-value',xlab='breakpoint')
grid()
dev.off()
}
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Estimated Regression Equation', 1, TRUE)
a<-table.row.end(a)
myeq <- colnames(x)[1]
myeq <- paste(myeq, '[t] = ', sep='')
for (i in 1:k){
if (mysum$coefficients[i,1] > 0) myeq <- paste(myeq, '+', '')
myeq <- paste(myeq, signif(mysum$coefficients[i,1],6), sep=' ')
if (rownames(mysum$coefficients)[i] != '(Intercept)') {
myeq <- paste(myeq, rownames(mysum$coefficients)[i], sep='')
if (rownames(mysum$coefficients)[i] != 't') myeq <- paste(myeq, '[t]', sep='')
}
}
myeq <- paste(myeq, ' + e[t]')
a<-table.row.start(a)
a<-table.element(a, myeq)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable1.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,hyperlink('ols1.htm','Multiple Linear Regression - Ordinary Least Squares',''), 6, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Variable',header=TRUE)
a<-table.element(a,'Parameter',header=TRUE)
a<-table.element(a,'S.D.',header=TRUE)
a<-table.element(a,'T-STAT
H0: parameter = 0',header=TRUE)
a<-table.element(a,'2-tail p-value',header=TRUE)
a<-table.element(a,'1-tail p-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:k){
a<-table.row.start(a)
a<-table.element(a,rownames(mysum$coefficients)[i],header=TRUE)
a<-table.element(a,signif(mysum$coefficients[i,1],6))
a<-table.element(a, signif(mysum$coefficients[i,2],6))
a<-table.element(a, signif(mysum$coefficients[i,3],4))
a<-table.element(a, signif(mysum$coefficients[i,4],6))
a<-table.element(a, signif(mysum$coefficients[i,4]/2,6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable2.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Regression Statistics', 2, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Multiple R',1,TRUE)
a<-table.element(a, signif(sqrt(mysum$r.squared),6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'R-squared',1,TRUE)
a<-table.element(a, signif(mysum$r.squared,6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Adjusted R-squared',1,TRUE)
a<-table.element(a, signif(mysum$adj.r.squared,6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (value)',1,TRUE)
a<-table.element(a, signif(mysum$fstatistic[1],6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (DF numerator)',1,TRUE)
a<-table.element(a, signif(mysum$fstatistic[2],6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (DF denominator)',1,TRUE)
a<-table.element(a, signif(mysum$fstatistic[3],6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'p-value',1,TRUE)
a<-table.element(a, signif(1-pf(mysum$fstatistic[1],mysum$fstatistic[2],mysum$fstatistic[3]),6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Residual Statistics', 2, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Residual Standard Deviation',1,TRUE)
a<-table.element(a, signif(mysum$sigma,6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Sum Squared Residuals',1,TRUE)
a<-table.element(a, signif(sum(myerror*myerror),6))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable3.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Actuals, Interpolation, and Residuals', 4, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Time or Index', 1, TRUE)
a<-table.element(a, 'Actuals', 1, TRUE)
a<-table.element(a, 'Interpolation
Forecast', 1, TRUE)
a<-table.element(a, 'Residuals
Prediction Error', 1, TRUE)
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,i, 1, TRUE)
a<-table.element(a,signif(x[i],6))
a<-table.element(a,signif(x[i]-mysum$resid[i],6))
a<-table.element(a,signif(mysum$resid[i],6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable4.tab')
if (n > n25) {
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Goldfeld-Quandt test for Heteroskedasticity',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'p-values',header=TRUE)
a<-table.element(a,'Alternative Hypothesis',3,header=TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'breakpoint index',header=TRUE)
a<-table.element(a,'greater',header=TRUE)
a<-table.element(a,'2-sided',header=TRUE)
a<-table.element(a,'less',header=TRUE)
a<-table.row.end(a)
for (mypoint in kp3:nmkm3) {
a<-table.row.start(a)
a<-table.element(a,mypoint,header=TRUE)
a<-table.element(a,signif(gqarr[mypoint-kp3+1,1],6))
a<-table.element(a,signif(gqarr[mypoint-kp3+1,2],6))
a<-table.element(a,signif(gqarr[mypoint-kp3+1,3],6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable5.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Description',header=TRUE)
a<-table.element(a,'# significant tests',header=TRUE)
a<-table.element(a,'% significant tests',header=TRUE)
a<-table.element(a,'OK/NOK',header=TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'1% type I error level',header=TRUE)
a<-table.element(a,signif(numsignificant1,6))
a<-table.element(a,signif(numsignificant1/numgqtests,6))
if (numsignificant1/numgqtests < 0.01) dum <- 'OK' else dum <- 'NOK'
a<-table.element(a,dum)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'5% type I error level',header=TRUE)
a<-table.element(a,signif(numsignificant5,6))
a<-table.element(a,signif(numsignificant5/numgqtests,6))
if (numsignificant5/numgqtests < 0.05) dum <- 'OK' else dum <- 'NOK'
a<-table.element(a,dum)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'10% type I error level',header=TRUE)
a<-table.element(a,signif(numsignificant10,6))
a<-table.element(a,signif(numsignificant10/numgqtests,6))
if (numsignificant10/numgqtests < 0.1) dum <- 'OK' else dum <- 'NOK'
a<-table.element(a,dum)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable6.tab')
}