FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Moduleesteq.wasp
Title produced by softwareEstimate Equation
Date of computationSun, 09 Dec 2007 13:18:25 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2007/Dec/09/t1197230995fqk6jo34c6rt4ci.htm/, Retrieved Wed, 08 May 2024 22:11:58 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=2975, Retrieved Wed, 08 May 2024 22:11:58 +0000
QR Codes:

Original text written by user:Density omitted
IsPrivate?No (this computation is public)
User-defined keywordsSNWR
Estimated Impact306

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Estimate Equation] [SNWR-Density] [2007-12-09 20:18:25] [d41d8cd98f00b204e9800998ecf8427e] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0.0000276782	95.70796066	30982	78.5	52	56.9	6.2	9.3
0.0000276782	95.70796066	30982	78.5	52	56.9	6.2	9.3
0.0000276782	95.70796066	30982	78.5	52	56.9	6.2	9.3
0.0000276782	95.70796066	30982	78.5	52	56.9	6.2	9.3
0.0001216249	86.65694168	28494	74.3	50.9	75.1	12.3	12.5
0.0001216249	86.65694168	28494	74.3	50.9	75.1	12.3	12.5
0.0020746888	143.814193	27604	73.4	52.1	47.3	31.4	20.4
0.0002046245	65.91457577	18440	71.6	50.7	59.2	7.3	17.7
0.0000121946	172.4945368	18266	69.8	50	54.8	2.7	46.8
0.0000030487	559.4531368	18266	69.8	50	54.8	2.7	46.8
0.0002216803	39.03384805	11744	68.4	53.4	86.5	0.6	7.3
0.0001108402	73.48584805	11744	68.4	53.4	86.5	0.6	7.3
0.0000552291	42.61797275	22152	67.7	51	65.3	9.7	22.1
0.0000220916	83.68788875	22152	67.7	51	65.3	9.7	22.1
0.0000220916	83.68788875	22152	67.7	51	65.3	9.7	22.1
0.0000110458	152.1377487	22152	67.7	51	65.3	9.7	22.1
0.0002128565	143.7681474	33210	80.7	51.4	90.4	0.6	7
0.0012864494	16.53504747	13225	64.1	48.6	50.1	0.2	70.8
0.0008576329	23.03742747	13225	64.1	48.6	50.1	0.2	70.8
0.0009609032	33.65058604	15531	84.7	50.2	84.5	1.6	7.2
0.0000600565	247.801086	15531	84.7	50.2	84.5	1.6	7.2
0.0009741841	169.6336378	18106	73.7	51.5	86.7	0.4	8.5
0.0001604879	75.656334	26258	76.7	53.5	93.4	0.5	6
0.0001604879	75.656334	26258	76.7	53.5	93.4	0.5	6
0.0000802439	135.002514	26258	76.7	53.5	93.4	0.5	6
0.0004814636	36.092214	26258	76.7	53.5	93.4	0.5	6
0.0001604879	75.656334	26258	76.7	53.5	93.4	0.5	6
0.0001604879	75.656334	26258	76.7	53.5	93.4	0.5	6
0.0000802439	135.002514	26258	76.7	53.5	93.4	0.5	6
0.0000121429	160.6371603	17678	67.3	51.4	61.9	9.2	32.5
0.0000080953	225.0745803	17678	67.3	51.4	61.9	9.2	32.5
0.0000796083	121.4036016	42812	80.7	50.8	75.2	1.7	8.3
0.0000744463	76.65985832	31226	72.9	51.4	78.9	4.8	9
0.0000744463	76.65985832	31226	72.9	51.4	78.9	4.8	9
0.0000372232	136.1678583	31226	72.9	51.4	78.9	4.8	9
0.0000372232	136.1678583	31226	72.9	51.4	78.9	4.8	9
0.0000291991	54.38032072	30477	85.9	50.9	59.2	13.6	9.7
0.0000097330	126.3745607	30477	85.9	50.9	59.2	13.6	9.7
0.0000097330	126.3745607	30477	85.9	50.9	59.2	13.6	9.7
0.0000097330	126.3745607	30477	85.9	50.9	59.2	13.6	9.7
0.0000097330	126.3745607	30477	85.9	50.9	59.2	13.6	9.7
0.0000097330	126.3745607	30477	85.9	50.9	59.2	13.6	9.7
0.0000097330	126.3745607	30477	85.9	50.9	59.2	13.6	9.7
0.0000291991	54.38032072	30477	85.9	50.9	59.2	13.6	9.7
0.0000097330	126.3745607	30477	85.9	50.9	59.2	13.6	9.7
0.0000194660	72.37888072	30477	85.9	50.9	59.2	13.6	9.7
0.0000097330	126.3745607	30477	85.9	50.9	59.2	13.6	9.7
0.0000097330	126.3745607	30477	85.9	50.9	59.2	13.6	9.7
0.0000194660	72.37888072	30477	85.9	50.9	59.2	13.6	9.7
0.0000389321	45.38104072	30477	85.9	50.9	59.2	13.6	9.7
0.0000194660	72.37888072	30477	85.9	50.9	59.2	13.6	9.7
0.0000097330	126.3745607	30477	85.9	50.9	59.2	13.6	9.7
0.0000875972	30.38224072	30477	85.9	50.9	59.2	13.6	9.7
0.0000097330	126.3745607	30477	85.9	50.9	59.2	13.6	9.7
0.0000291991	54.38032072	30477	85.9	50.9	59.2	13.6	9.7
0.0000194660	72.37888072	30477	85.9	50.9	59.2	13.6	9.7
0.0000097330	126.3745607	30477	85.9	50.9	59.2	13.6	9.7
0.0000291991	54.38032072	30477	85.9	50.9	59.2	13.6	9.7
0.0000389321	45.38104072	30477	85.9	50.9	59.2	13.6	9.7
0.0000291991	54.38032072	30477	85.9	50.9	59.2	13.6	9.7
0.0000194660	72.37888072	30477	85.9	50.9	59.2	13.6	9.7
0.0000194660	72.37888072	30477	85.9	50.9	59.2	13.6	9.7
0.0027886224	11.58234973	12386	65.8	52.5	74.5	0.4	27.6
0.0096308186	40.84401591	28973	79	47.4	90.5	1.8	5.1
0.0002450380	238.3906232	32013	76.4	49.7	90.2	0.6	5.7
0.0000858295	84.75658953	24909	67.2	50.7	73.8	2.5	28.2
0.0000429148	149.6933895	24909	67.2	50.7	73.8	2.5	28.2
0.0011120378	69.13497105	37152	82.3	49.8	72.9	1.1	15.3
0.0007707129	40.61730801	21134	76.7	50.1	76.6	0.3	38.1
0.0003853565	67.23930801	21134	76.7	50.1	76.6	0.3	38.1
0.0000350404	316.6963016	28635	74.7	51.6	80.7	1.5	15.5
0.0000687332	140.2057982	26677	72.9	51.2	97.2	92.2	6.7
0.0001374665	78.66199815	26677	72.9	51.2	97.2	92.2	6.7
0.0001990446	94.65092513	66972	71	50.7	77.1	2.3	3.9
0.0001990446	94.65092513	66972	71	50.7	77.1	2.3	3.9
0.0000524411	123.3034763	34441	78.4	50.4	72.8	2.5	13.3
0.0000262206	214.4290163	34441	78.4	50.4	72.8	2.5	13.3
0.0000996711	242.5380856	27609	81.6	52.5	83.8	1.2	12.6
0.0000255601	382.6690497	34863	76.7	48.9	86.6	1	11.7
0.0004900760	154.0349068	21587	74.3	50.9	75.1	12.3	12.5
0.0002450380	280.6982068	21587	74.3	50.9	75.1	12.3	12.5
0.0004255319	185.9131057	42991	79.4	51.3	97.9	0.4	5.8
0.0002127660	315.1081057	42991	79.4	51.3	97.9	0.4	5.8
0.0000402075	63.93241478	26811	76.7	52.7	86.6	2.7	7
0.0001608299	27.13141478	26811	76.7	52.7	86.6	2.7	7
0.0000402075	63.93241478	26811	76.7	52.7	86.6	2.7	7
0.0000402075	63.93241478	26811	76.7	52.7	86.6	2.7	7
0.0000402075	63.93241478	26811	76.7	52.7	86.6	2.7	7
0.0000402075	63.93241478	26811	76.7	52.7	86.6	2.7	7
0.0000402075	63.93241478	26811	76.7	52.7	86.6	2.7	7
0.0000349089	98.34799179	26680	76.3	51.4	70.8	5.1	12.2
0.0000349089	98.34799179	26680	76.3	51.4	70.8	5.1	12.2
0.0001047267	46.84399179	26680	76.3	51.4	70.8	5.1	12.2
0.0000166795	38.28643943	16970	78.9	50.9	82.4	2	12.3
0.0000500384	16.01443943	16970	78.9	50.9	82.4	2	12.3
0.0000667178	13.23043943	16970	78.9	50.9	82.4	2	12.3
0.0000333589	21.58243943	16970	78.9	50.9	82.4	2	12.3
0.0000166795	38.28643943	16970	78.9	50.9	82.4	2	12.3
0.0000667178	13.23043943	16970	78.9	50.9	82.4	2	12.3
0.0000166795	38.28643943	16970	78.9	50.9	82.4	2	12.3
0.0000166795	38.28643943	16970	78.9	50.9	82.4	2	12.3
0.0000333589	21.58243943	16970	78.9	50.9	82.4	2	12.3
0.0000166795	38.28643943	16970	78.9	50.9	82.4	2	12.3
0.0000667178	13.23043943	16970	78.9	50.9	82.4	2	12.3
0.0000333589	21.58243943	16970	78.9	50.9	82.4	2	12.3
0.0000333589	21.58243943	16970	78.9	50.9	82.4	2	12.3
0.0000667178	13.23043943	16970	78.9	50.9	82.4	2	12.3
0.0000166795	38.28643943	16970	78.9	50.9	82.4	2	12.3
0.0000166795	38.28643943	16970	78.9	50.9	82.4	2	12.3
0.0000166795	38.28643943	16970	78.9	50.9	82.4	2	12.3
0.0000166795	38.28643943	16970	78.9	50.9	82.4	2	12.3
0.0000333589	21.58243943	16970	78.9	50.9	82.4	2	12.3
0.0000333589	21.58243943	16970	78.9	50.9	82.4	2	12.3
0.0000333589	21.58243943	16970	78.9	50.9	82.4	2	12.3
0.0000500384	16.01443943	16970	78.9	50.9	82.4	2	12.3
0.0001501151	8.590439425	16970	78.9	50.9	82.4	2	12.3
0.0000166795	38.28643943	16970	78.9	50.9	82.4	2	12.3
0.0000500384	16.01443943	16970	78.9	50.9	82.4	2	12.3
0.0000166795	38.28643943	16970	78.9	50.9	82.4	2	12.3
0.0001000767	10.44643943	16970	78.9	50.9	82.4	2	12.3
0.0000667178	13.23043943	16970	78.9	50.9	82.4	2	12.3
0.0000166795	38.28643943	16970	78.9	50.9	82.4	2	12.3
0.0000333589	21.58243943	16970	78.9	50.9	82.4	2	12.3
0.0000833973	11.56003943	16970	78.9	50.9	82.4	2	12.3
0.0000333589	21.58243943	16970	78.9	50.9	82.4	2	12.3
0.0000667178	13.23043943	16970	78.9	50.9	82.4	2	12.3
0.0000333589	21.58243943	16970	78.9	50.9	82.4	2	12.3
0.0000333589	21.58243943	16970	78.9	50.9	82.4	2	12.3
0.0000667178	13.23043943	16970	78.9	50.9	82.4	2	12.3
0.0000166795	38.28643943	16970	78.9	50.9	82.4	2	12.3
0.0000333589	21.58243943	16970	78.9	50.9	82.4	2	12.3
0.0000333589	21.58243943	16970	78.9	50.9	82.4	2	12.3
0.0000333589	21.58243943	16970	78.9	50.9	82.4	2	12.3
0.0000333589	21.58243943	16970	78.9	50.9	82.4	2	12.3
0.0000500384	16.01443943	16970	78.9	50.9	82.4	2	12.3
0.0000667178	13.23043943	16970	78.9	50.9	82.4	2	12.3
0.0000166795	38.28643943	16970	78.9	50.9	82.4	2	12.3
0.0000333589	21.58243943	16970	78.9	50.9	82.4	2	12.3
0.0001000767	10.44643943	16970	78.9	50.9	82.4	2	12.3
0.0000166795	38.28643943	16970	78.9	50.9	82.4	2	12.3
0.0000333589	21.58243943	16970	78.9	50.9	82.4	2	12.3
0.0000166795	38.28643943	16970	78.9	50.9	82.4	2	12.3
0.0000166795	38.28643943	16970	78.9	50.9	82.4	2	12.3
0.0000166795	38.28643943	16970	78.9	50.9	82.4	2	12.3
0.0000166795	38.28643943	16970	78.9	50.9	82.4	2	12.3
0.0000333589	21.58243943	16970	78.9	50.9	82.4	2	12.3
0.0000667178	13.23043943	16970	78.9	50.9	82.4	2	12.3
0.0000333589	21.58243943	16970	78.9	50.9	82.4	2	12.3
0.0001000767	10.44643943	16970	78.9	50.9	82.4	2	12.3
0.0000667178	13.23043943	16970	78.9	50.9	82.4	2	12.3
0.0000667178	13.23043943	16970	78.9	50.9	82.4	2	12.3
0.0000333589	21.58243943	16970	78.9	50.9	82.4	2	12.3
0.0000333589	21.58243943	16970	78.9	50.9	82.4	2	12.3
0.0000166795	38.28643943	16970	78.9	50.9	82.4	2	12.3
0.0001167562	9.651010854	16970	78.9	50.9	82.4	2	12.3
0.0000667178	13.23043943	16970	78.9	50.9	82.4	2	12.3
0.0000333589	21.58243943	16970	78.9	50.9	82.4	2	12.3
0.0000166795	38.28643943	16970	78.9	50.9	82.4	2	12.3
0.0000333589	21.58243943	16970	78.9	50.9	82.4	2	12.3
0.0000667178	13.23043943	16970	78.9	50.9	82.4	2	12.3
0.0000166795	38.28643943	16970	78.9	50.9	82.4	2	12.3
0.0000333589	21.58243943	16970	78.9	50.9	82.4	2	12.3
0.0000333589	21.58243943	16970	78.9	50.9	82.4	2	12.3
0.0000500384	16.01443943	16970	78.9	50.9	82.4	2	12.3
0.0002001535	7.662439425	16970	78.9	50.9	82.4	2	12.3
0.0000500384	16.01443943	16970	78.9	50.9	82.4	2	12.3
0.0000166795	38.28643943	16970	78.9	50.9	82.4	2	12.3
0.0000166795	38.28643943	16970	78.9	50.9	82.4	2	12.3
0.0000166795	38.28643943	16970	78.9	50.9	82.4	2	12.3
0.0001000767	10.44643943	16970	78.9	50.9	82.4	2	12.3
0.0000333589	21.58243943	16970	78.9	50.9	82.4	2	12.3
0.0001890181	60.89985626	15548	67	50.3	52.4	3.2	64.8
0.0000117549	112.4534916	20744	74.8	51.6	84.6	2.9	10
0.0000235098	61.92389158	20744	74.8	51.6	84.6	2.9	10
0.0000235098	61.92389158	20744	74.8	51.6	84.6	2.9	10
0.0000588270	327.2694923	28843	79.3	53	73.5	5	15.4
0.0000588270	327.2694923	28843	79.3	53	73.5	5	15.4
0.0001858391	96.89280616	42048	73.5	51	87.9	1.1	6.3
0.0001521838	40.244	12538	74.2	52.1	82.4	5.2	11
0.0001521838	40.244	12538	74.2	52.1	82.4	5.2	11
0.0001521838	40.244	12538	74.2	52.1	82.4	5.2	11
0.0000760919	75.218	12538	74.2	52.1	82.4	5.2	11
0.0012210012	55.95501437	22779	73.3	49.3	93.2	0.6	4.6
0.0006105006	99.28101437	22779	73.3	49.3	93.2	0.6	4.6
0.0013368984	79.26541232	16440	71.5	51.6	93.2	0.6	8.3
0.0000164231	79.45835606	24727	74.7	50.6	70.7	3	21.8
0.0000164231	79.45835606	24727	74.7	50.6	70.7	3	21.8
0.0000164231	79.45835606	24727	74.7	50.6	70.7	3	21.8
0.0000328461	47.91650606	24727	74.7	50.6	70.7	3	21.8
0.0000164231	79.45835606	24727	74.7	50.6	70.7	3	21.8
0.0000164231	79.45835606	24727	74.7	50.6	70.7	3	21.8
0.0000082115	142.5420561	24727	74.7	50.6	70.7	3	21.8
0.0000164231	79.45835606	24727	74.7	50.6	70.7	3	21.8
0.0000164231	79.45835606	24727	74.7	50.6	70.7	3	21.8
0.0002966919	18.54626027	12357	67.5	51.8	74.5	0.5	28.8
0.0002966919	18.54626027	12357	67.5	51.8	74.5	0.5	28.8
0.0004450378	13.32626027	12357	67.5	51.8	74.5	0.5	28.8
0.0002197802	108.412065	46326	76.6	53.2	87.7	0.9	4.8
0.0003296703	84.00682497	46326	76.6	53.2	87.7	0.9	4.8
0.0001545356	175.0560313	24206	74.3	51.3	83.6	2.3	12.5
0.0006756757	36.83818891	11778	67.9	52.7	86.3	0.2	9.4
0.0013513514	20.65618891	11778	67.9	52.7	86.3	0.2	9.4
0.0006756757	36.83818891	11778	67.9	52.7	86.3	0.2	9.4
0.0003378378	69.20218891	11778	67.9	52.7	86.3	0.2	9.4
0.0004992511	172.4061922	12833	69.9	53.8	78.3	0.5	11
0.0003130870	135.9583778	27469	81.5	51	85.1	3.1	11.6
0.0000395679	135.1684269	44749	73.4	50.1	50.1	0.7	4
0.0000479444	104.7002924	50773	71.4	51.5	86.3	0.9	4.7
0.0000479444	104.7002924	50773	71.4	51.5	86.3	0.9	4.7
0.0000479444	104.7002924	50773	71.4	51.5	86.3	0.9	4.7
0.0001160708	22.06037304	22937	81.4	52.3	70.1	2.3	9.6
0.0000994893	23.99053018	22937	81.4	52.3	70.1	2.3	9.6
0.0000331631	51.01273018	22937	81.4	52.3	70.1	2.3	9.6
0.0000994893	23.99053018	22937	81.4	52.3	70.1	2.3	9.6
0.0004145387	13.72209418	22937	81.4	52.3	70.1	2.3	9.6
0.0000165815	91.54603018	22937	81.4	52.3	70.1	2.3	9.6
0.0000165815	91.54603018	22937	81.4	52.3	70.1	2.3	9.6
0.0000165815	91.54603018	22937	81.4	52.3	70.1	2.3	9.6
0.0000331631	51.01273018	22937	81.4	52.3	70.1	2.3	9.6
0.0000331631	51.01273018	22937	81.4	52.3	70.1	2.3	9.6
0.0000165815	91.54603018	22937	81.4	52.3	70.1	2.3	9.6
0.0000663262	30.74608018	22937	81.4	52.3	70.1	2.3	9.6
0.0000165815	91.54603018	22937	81.4	52.3	70.1	2.3	9.6
0.0000331631	51.01273018	22937	81.4	52.3	70.1	2.3	9.6
0.0000331631	51.01273018	22937	81.4	52.3	70.1	2.3	9.6
0.0000663262	30.74608018	22937	81.4	52.3	70.1	2.3	9.6
0.0000663262	30.74608018	22937	81.4	52.3	70.1	2.3	9.6
0.0000165815	91.54603018	22937	81.4	52.3	70.1	2.3	9.6
0.0000165815	91.54603018	22937	81.4	52.3	70.1	2.3	9.6
0.0000497446	37.50163018	22937	81.4	52.3	70.1	2.3	9.6
0.0000331631	51.01273018	22937	81.4	52.3	70.1	2.3	9.6
0.0000331631	51.01273018	22937	81.4	52.3	70.1	2.3	9.6
0.0000331631	51.01273018	22937	81.4	52.3	70.1	2.3	9.6
0.0000331631	51.01273018	22937	81.4	52.3	70.1	2.3	9.6
0.0000497446	37.50163018	22937	81.4	52.3	70.1	2.3	9.6
0.0000165815	91.54603018	22937	81.4	52.3	70.1	2.3	9.6
0.0000331631	51.01273018	22937	81.4	52.3	70.1	2.3	9.6
0.0000331631	51.01273018	22937	81.4	52.3	70.1	2.3	9.6
0.0000165815	91.54603018	22937	81.4	52.3	70.1	2.3	9.6
0.0000165815	91.54603018	22937	81.4	52.3	70.1	2.3	9.6
0.0000994893	23.99053018	22937	81.4	52.3	70.1	2.3	9.6
0.0000331631	51.01273018	22937	81.4	52.3	70.1	2.3	9.6
0.0000165815	91.54603018	22937	81.4	52.3	70.1	2.3	9.6
0.0000663262	30.74608018	22937	81.4	52.3	70.1	2.3	9.6
0.0000331631	51.01273018	22937	81.4	52.3	70.1	2.3	9.6
0.0000331631	51.01273018	22937	81.4	52.3	70.1	2.3	9.6
0.0000331631	51.01273018	22937	81.4	52.3	70.1	2.3	9.6
0.0004091653	80.27572587	19466	75.7	53	90.2	0.1	8.5
0.0002045827	146.9612259	19466	75.7	53	90.2	0.1	8.5
0.0001242005	53.7163609	20139	68	49.9	70.5	1.9	33.6
0.0001242005	53.7163609	20139	68	49.9	70.5	1.9	33.6
0.0001863007	39.0847009	20139	68	49.9	70.5	1.9	33.6
0.0000667267	95.82631725	29451	79	74.3	69.4	10.1	13.5
0.0000667267	95.82631725	29451	79	74.3	69.4	10.1	13.5
0.0007662835	15.27278747	26361	71.9	50	82.2	0.1	9
0.0000431574	153.1496409	32593	84.1	52.7	57.8	8.5	7.9
0.0000431574	153.1496409	32593	84.1	52.7	57.8	8.5	7.9
0.0001294722	65.88516094	32593	84.1	52.7	57.8	8.5	7.9
0.0000863148	87.70128094	32593	84.1	52.7	57.8	8.5	7.9
0.0000863148	87.70128094	32593	84.1	52.7	57.8	8.5	7.9
0.0000863148	87.70128094	32593	84.1	52.7	57.8	8.5	7.9
0.0001294722	65.88516094	32593	84.1	52.7	57.8	8.5	7.9
0.0015968236	25.79067013	32593	84.1	52.7	57.8	8.5	7.9
0.0000555062	144.2170164	40239	66.8	50.2	90.1	0.8	5
0.0005550622	37.10261643	40239	66.8	50.2	90.1	0.8	5
0.0001110124	84.70901643	40239	66.8	50.2	90.1	0.8	5
0.0008156607	28.64298973	24525	75.3	51.5	60.4	12.2	15.6
0.0008156607	28.64298973	24525	75.3	51.5	60.4	12.2	15.6
0.0008156607	28.64298973	24525	75.3	51.5	60.4	12.2	15.6
0.0001833822	21.19442038	20916	67.1	51.2	59.1	8.5	14
0.0000500133	46.50351129	20916	67.1	51.2	59.1	8.5	14
0.0000500133	46.50351129	20916	67.1	51.2	59.1	8.5	14
0.0000500133	46.50351129	20916	67.1	51.2	59.1	8.5	14
0.0000500133	46.50351129	20916	67.1	51.2	59.1	8.5	14
0.0000333422	63.90351129	20916	67.1	51.2	59.1	8.5	14
0.0000333422	63.90351129	20916	67.1	51.2	59.1	8.5	14
0.0000500133	46.50351129	20916	67.1	51.2	59.1	8.5	14
0.0002906132	159.1206472	33260	88.6	50	45	19.5	9
0.0000344744	387.859839	34336	76.9	50.2	86.6	0.6	14.8
0.0016146394	28.19710595	13407	66.8	49.4	62.3	0.6	42.1
0.0000765462	138.4468156	16174	77.6	50.5	82.5	1.6	7.8
0.0000765462	138.4468156	16174	77.6	50.5	82.5	1.6	7.8
0.0000765462	138.4468156	16174	77.6	50.5	82.5	1.6	7.8
0.0000765462	138.4468156	16174	77.6	50.5	82.5	1.6	7.8
0.0000765462	138.4468156	16174	77.6	50.5	82.5	1.6	7.8
0.0000382731	256.0534156	16174	77.6	50.5	82.5	1.6	7.8
0.0000765462	138.4468156	16174	77.6	50.5	82.5	1.6	7.8
0.0000765462	138.4468156	16174	77.6	50.5	82.5	1.6	7.8
0.0000357041	119.2387611	31874	77.2	50.6	88	1.8	6.3
0.0003927449	27.05356107	31874	77.2	50.6	88	1.8	6.3
0.0001071123	51.63628107	31874	77.2	50.6	88	1.8	6.3
0.0001071123	51.63628107	31874	77.2	50.6	88	1.8	6.3
0.0006831534	55.76573313	34080	80.8	52.1	91.4	1.2	5.7
0.0004098921	75.21475713	34080	80.8	52.1	91.4	1.2	5.7
0.0004098921	75.21475713	34080	80.8	52.1	91.4	1.2	5.7
0.0000207948	61.27183934	20617	70.2	50.2	56.2	15	18.8
0.0000103974	111.4308193	20617	70.2	50.2	56.2	15	18.8
0.0000415896	36.19234934	20617	70.2	50.2	56.2	15	18.8
0.0000207948	61.27183934	20617	70.2	50.2	56.2	15	18.8
0.0000207948	61.27183934	20617	70.2	50.2	56.2	15	18.8
0.0000207948	61.27183934	20617	70.2	50.2	56.2	15	18.8
0.0000207948	61.27183934	20617	70.2	50.2	56.2	15	18.8
0.0000207948	61.27183934	20617	70.2	50.2	56.2	15	18.8
0.0030864198	90.83523483	15667	69.1	54.5	95.7	80.7	12.3
0.0000578213	53.90009199	30210	75.8	44.8	77.9	6	9.5
0.0000963688	39.65993199	30210	75.8	44.8	77.9	6	9.5
0.0002312852	27.19979199	30210	75.8	44.8	77.9	6	9.5
0.0000770951	44.99999199	30210	75.8	44.8	77.9	6	9.5
0.0000385475	71.70029199	30210	75.8	44.8	77.9	6	9.5
0.0000385475	71.70029199	30210	75.8	44.8	77.9	6	9.5
0.0000192738	125.100892	30210	75.8	44.8	77.9	6	9.5
0.0000385475	71.70029199	30210	75.8	44.8	77.9	6	9.5
0.0011166946	82.61993244	19409	69.8	48.6	90.3	0.6	5.8
0.0002846570	97.96400632	15832	75.4	49.9	79.5	1	12.1
0.0001423285	179.5108463	15832	75.4	49.9	79.5	1	12.1
0.0002846570	97.96400632	15832	75.4	49.9	79.5	1	12.1
0.0002857959	107.756623	16574	74	52.2	96.8	88.4	3.2
0.0000098322	67.06547392	31411	74.2	49.7	47.7	3.1	13.5
0.0000196644	46.91627392	31411	74.2	49.7	47.7	3.1	13.5
0.0000098322	67.06547392	31411	74.2	49.7	47.7	3.1	13.5
0.0000049161	107.3638739	31411	74.2	49.7	47.7	3.1	13.5
0.0000098322	67.06547392	31411	74.2	49.7	47.7	3.1	13.5
0.0000098322	67.06547392	31411	74.2	49.7	47.7	3.1	13.5
0.0000098322	67.06547392	31411	74.2	49.7	47.7	3.1	13.5
0.0000049161	107.3638739	31411	74.2	49.7	47.7	3.1	13.5
0.0000098322	67.06547392	31411	74.2	49.7	47.7	3.1	13.5
0.0000046767	154.8324341	15010	67.1	50.9	50.2	8.4	39.9
0.0000046767	154.8324341	15010	67.1	50.9	50.2	8.4	39.9
0.0030303030	108.1662834	15301	76.4	52.7	88.6	0.2	8
0.0002054232	39.36579302	16620	65.5	50.5	70.5	1.2	33.2
0.0000482346	127.5133676	22071	67.4	50.2	58.9	1.8	53.8
0.0000964692	75.31336756	22071	67.4	50.2	58.9	1.8	53.8
0.0000205157	169.6785031	22227	77.6	52.3	63.6	1.3	19.7
0.0001011839	162.2230084	25993	72.4	51.7	80.3	1.5	21.7
0.0030241935	6.623531828	22680	71.4	45.3	89.4	1.9	8.5
0.0002492833	77.8052577	42341	75.2	52	79.2	1.3	4.1
0.0001246417	131.0492577	42341	75.2	52	79.2	1.3	4.1
0.0011217749	36.3932577	42341	75.2	52	79.2	1.3	4.1
0.0001031566	82.69704148	46170	69.3	49.9	91.4	0.7	4.7
0.0002063132	55.21374148	46170	69.3	49.9	91.4	0.7	4.7
0.0001831166	55.59540197	16877	76.7	55	91.9	0.3	6.6
0.0000915583	100.534382	16877	76.7	55	91.9	0.3	6.6
0.0001831166	55.59540197	16877	76.7	55	91.9	0.3	6.6
0.0001831166	55.59540197	16877	76.7	55	91.9	0.3	6.6
0.0003716091	24.68021359	12267	69.9	52.3	66.6	0.3	38.6
0.0004257131	116.7510197	16821	69.8	51.3	72.3	0.7	35.1
0.0000285653	50.31371766	19695	73.2	50.4	43	11	34.2
0.0000214240	63.27671766	19695	73.2	50.4	43	11	34.2
0.0000071413	166.9807177	19695	73.2	50.4	43	11	34.2
0.0001865324	84.90176341	22245	74	51.3	79.9	0.5	28.8
0.0000932662	151.0757034	22245	74	51.3	79.9	0.5	28.8
0.0000932662	151.0757034	22245	74	51.3	79.9	0.5	28.8
0.0001865324	84.90176341	22245	74	51.3	79.9	0.5	28.8
0.0002797985	62.84378341	22245	74	51.3	79.9	0.5	28.8
0.0001865324	84.90176341	22245	74	51.3	79.9	0.5	28.8
0.0001026273	110.654711	27699	73.4	52.6	28	18.8	10.8
0.0000513136	203.393231	27699	73.4	52.6	28	18.8	10.8
0.0002565681	55.01159897	27699	73.4	52.6	28	18.8	10.8
0.0000581176	80.80440657	18857	65.4	49.5	59.1	1.4	55.1
0.0000177651	279.7874965	14776	67.6	52.5	19.1	47.1	46
0.0000139790	346.7432879	32196	76.5	51.6	61.1	1.4	7.4
0.0000139790	346.7432879	32196	76.5	51.6	61.1	1.4	7.4
0.0005013788	86.97492505	21399	80	55.5	93.5	0.5	6.5
0.0002506894	156.9229251	21399	80	55.5	93.5	0.5	6.5
0.0002506894	156.9229251	21399	80	55.5	93.5	0.5	6.5
0.0006830601	53.32267368	15651	71.6	50.5	77	0.1	28.8
0.0020491803	23.66611368	15651	71.6	50.5	77	0.1	28.8
0.0006830601	53.32267368	15651	71.6	50.5	77	0.1	28.8
0.0003415301	97.80751368	15651	71.6	50.5	77	0.1	28.8
0.0004051864	106.4630593	55275	82.3	52.7	81.8	2.6	3.5
0.0004051864	106.4630593	55275	82.3	52.7	81.8	2.6	3.5
0.0008103728	73.09420934	55275	82.3	52.7	81.8	2.6	3.5
0.0004051864	106.4630593	55275	82.3	52.7	81.8	2.6	3.5
0.0008103728	73.09420934	55275	82.3	52.7	81.8	2.6	3.5
0.0004051864	106.4630593	55275	82.3	52.7	81.8	2.6	3.5
0.0003149110	98.819	79469	75	51.6	94.5	0.3	2.2
0.0000984349	359.4997112	52838	70.2	51.8	74.5	0.4	4.8
0.0000418270	170.7540708	54319	25.9	51.2	86.8	0.5	4
0.0002091350	64.26607084	54319	25.9	51.2	86.8	0.5	4
0.0000836540	104.1990708	54319	25.9	51.2	86.8	0.5	4
0.0000418270	170.7540708	54319	25.9	51.2	86.8	0.5	4
0.0000836540	104.1990708	54319	25.9	51.2	86.8	0.5	4
0.0000691372	319.1772526	15413	64	50.1	65.6	5.2	38
0.0002074689	105.6150447	17215	75.5	53.5	88.7	0.7	11.5
0.0002074689	105.6150447	17215	75.5	53.5	88.7	0.7	11.5
0.0002074689	105.6150447	17215	75.5	53.5	88.7	0.7	11.5
0.0001664724	91.12572218	56983	83.6	54.7	91.3	0.8	4.3
0.0039772727	29.10572086	10389	59.8	51	49.8	0.6	78.8
0.0001014610	179.0357884	15876	65.4	50.4	59.3	7.3	30.5
0.0001784917	53.3631961	19447	70	51	79.6	0.4	26
0.0001784917	53.3631961	19447	70	51	79.6	0.4	26
0.0002677376	39.2691961	19447	70	51	79.6	0.4	26
0.0000892459	95.6451961	19447	70	51	79.6	0.4	26
0.0004816182	19.37767105	9571	67	52.3	49.7	1.6	48.6
0.0000272684	100.4342156	31062	71.9	50	81.9	1.6	14.4
0.0000272684	100.4342156	31062	71.9	50	81.9	1.6	14.4
0.0000545368	63.37221561	31062	71.9	50	81.9	1.6	14.4
0.0000272684	100.4342156	31062	71.9	50	81.9	1.6	14.4
0.0000272684	100.4342156	31062	71.9	50	81.9	1.6	14.4
0.0000175442	138.8747461	18719	71.8	51.2	74.4	0.6	27.1
0.0000350883	75.82758608	18719	71.8	51.2	74.4	0.6	27.1
0.0000175442	138.8747461	18719	71.8	51.2	74.4	0.6	27.1
0.0000535303	600.4061382	20189	78.1	53.6	54.2	7.2	16.3
0.0003194888	72.74779097	30384	71.2	50.3	89.1	0.2	6.9
0.0004792332	54.42559097	30384	71.2	50.3	89.1	0.2	6.9
0.0003194888	72.74779097	30384	71.2	50.3	89.1	0.2	6.9
0.0001597444	127.714391	30384	71.2	50.3	89.1	0.2	6.9
0.0003194888	72.74779097	30384	71.2	50.3	89.1	0.2	6.9
0.0009584665	36.10339097	30384	71.2	50.3	89.1	0.2	6.9
0.0000361102	244.4566724	66776	76.3	51.8	80.3	0.5	3
0.0000361102	244.4566724	66776	76.3	51.8	80.3	0.5	3
0.0000361102	244.4566724	66776	76.3	51.8	80.3	0.5	3
0.0000002706	535.4440418	20671	73.4	50.2	46.9	11.2	46.5
0.0000349748	240.2106626	56094	78.8	52.5	86.7	0.8	5.2
0.0000699496	146.7413426	56094	78.8	52.5	86.7	0.8	5.2
0.0000699496	146.7413426	56094	78.8	52.5	86.7	0.8	5.2
0.0000349748	240.2106626	56094	78.8	52.5	86.7	0.8	5.2
0.0000699496	146.7413426	56094	78.8	52.5	86.7	0.8	5.2
0.0001398993	100.0066826	56094	78.8	52.5	86.7	0.8	5.2
0.0011396011	42.93963454	13516	76.8	49.9	84.4	1.7	11.1
0.0005698006	79.70409454	13516	76.8	49.9	84.4	1.7	11.1
0.0006968641	46.93326078	13396	79.2	51.7	87.9	1.7	8.5
0.0000812051	53.05958382	18241	68.4	51	74.2	2.9	29.1
0.0000796781	143.2899306	18860	78.7	42.8	43.7	14.3	23.2
0.0000557631	80.46477749	29701	77.3	50.4	81	3.3	10.2
0.0000557631	80.46477749	29701	77.3	50.4	81	3.3	10.2
0.0000557631	80.46477749	29701	77.3	50.4	81	3.3	10.2
0.0000815129	65.5746632	15315	72.5	50.1	70.9	4.8	17.5
0.0001630258	36.1286432	15315	72.5	50.1	70.9	4.8	17.5
0.0000815129	65.5746632	15315	72.5	50.1	70.9	4.8	17.5
0.0000815129	65.5746632	15315	72.5	50.1	70.9	4.8	17.5
0.0001630258	36.1286432	15315	72.5	50.1	70.9	4.8	17.5
0.0000815129	65.5746632	15315	72.5	50.1	70.9	4.8	17.5
0.0001630258	36.1286432	15315	72.5	50.1	70.9	4.8	17.5
0.0109223301	34.25212509	29348	84.5	56.2	95.5	0	2.8
0.0012135922	178.1014051	29348	84.5	56.2	95.5	0	2.8
0.0000649667	137.1201184	53341	78.1	51.5	72.4	7	15.6
0.0000324834	224.9518384	53341	78.1	51.5	72.4	7	15.6
0.0001299334	93.20425836	53341	78.1	51.5	72.4	7	15.6
0.0000649667	137.1201184	53341	78.1	51.5	72.4	7	15.6
0.0019607843	44.78441049	14135	73.4	47.5	83.7	0.4	22.8
0.0000735294	198.4455288	64179	78.8	53.6	91.4	1	3.5
0.0001470588	124.0970688	64179	78.8	53.6	91.4	1	3.5
0.0000735294	198.4455288	64179	78.8	53.6	91.4	1	3.5
0.0001470588	124.0970688	64179	78.8	53.6	91.4	1	3.5
0.0002205882	99.31424883	64179	78.8	53.6	91.4	1	3.5
0.0000735294	198.4455288	64179	78.8	53.6	91.4	1	3.5
0.0001470588	124.0970688	64179	78.8	53.6	91.4	1	3.5
0.0001470588	124.0970688	64179	78.8	53.6	91.4	1	3.5
0.0001470588	124.0970688	64179	78.8	53.6	91.4	1	3.5
0.0002941176	86.92283883	64179	78.8	53.6	91.4	1	3.5
0.0001470588	124.0970688	64179	78.8	53.6	91.4	1	3.5
0.0000965344	108.6441607	33193	79.4	52.7	63	0.8	11.5
0.0000318989	108.2284465	27823	75.4	47.4	30.9	3.7	16.6
0.0000159495	192.6045265	27823	75.4	47.4	30.9	3.7	16.6
0.0000105901	100.3536217	17797	69.9	51.5	69.6	4	25.6
0.0000211802	57.80540172	17797	69.9	51.5	69.6	4	25.6
0.0000105901	100.3536217	17797	69.9	51.5	69.6	4	25.6
0.0000105901	100.3536217	17797	69.9	51.5	69.6	4	25.6
0.0013736264	100.2968016	12661	71.3	50.8	89	0.1	5.4
0.0006779661	122.6096671	44360	74.6	51.8	89.2	1	9.1
0.0006779661	122.6096671	44360	74.6	51.8	89.2	1	9.1
0.0017226529	96.10641515	76577	72.2	50	83.6	0.2	3.6
0.0007980356	44.12911377	45437	77.3	52.9	81.1	1	4.8
0.0000596019	131.8250634	33.047	69.5	50.4	72.4	1.7	27.5
0.0000596019	131.8250634	33.047	69.5	50.4	72.4	1.7	27.5
0.0000596019	131.8250634	33.047	69.5	50.4	72.4	1.7	27.5
0.0010240655	120.7050339	41283	76.3	49.1	90.5	0.1	7.2
0.0000282853	115.1022429	39693	82	48.3	63.8	2.5	18.3
0.0005523336	86.79468345	20629	76	53.2	91.8	1.5	5.8
0.0002761668	158.3400034	20629	76	53.2	91.8	1.5	5.8
0.0005523336	86.79468345	20629	76	53.2	91.8	1.5	5.8
0.0000137770	132.0229969	23.642	74.3	50.9	80.3	0.5	26.8
0.0000275539	73.47547688	23.642	74.3	50.9	80.3	0.5	26.8
0.0000275539	73.47547688	23.642	74.3	50.9	80.3	0.5	26.8
0.0000275539	73.47547688	23.642	74.3	50.9	80.3	0.5	26.8
0.0000137770	132.0229969	23.642	74.3	50.9	80.3	0.5	26.8
0.0000275539	73.47547688	23.642	74.3	50.9	80.3	0.5	26.8
0.0001102156	29.56483688	23.642	74.3	50.9	80.3	0.5	26.8
0.0000275539	73.47547688	23.642	74.3	50.9	80.3	0.5	26.8
0.0000275539	73.47547688	23.642	74.3	50.9	80.3	0.5	26.8
0.0000275539	73.47547688	23.642	74.3	50.9	80.3	0.5	26.8
0.0000826617	34.44379688	23.642	74.3	50.9	80.3	0.5	26.8
0.0000275539	73.47547688	23.642	74.3	50.9	80.3	0.5	26.8
0.0003332223	108.5317241	22399	80.3	50.7	94.3	0.4	3.5
0.0003332223	108.5317241	22399	80.3	50.7	94.3	0.4	3.5
0.0004229522	79.07791515	14781	64.7	49.8	60.8	1.3	51.4
0.0000678933	38.15290426	14109	69.1	51.3	67.9	11.1	15.2
0.0000209952	159.3632289	32402	76.9	51.6	82.8	2	13.1
0.0001889565	38.11074891	32402	76.9	51.6	82.8	2	13.1
0.0000419903	91.15870891	32402	76.9	51.6	82.8	2	13.1
0.0000209952	159.3632289	32402	76.9	51.6	82.8	2	13.1
0.0000629855	68.42386891	32402	76.9	51.6	82.8	2	13.1
0.0000419903	91.15870891	32402	76.9	51.6	82.8	2	13.1
0.0001259710	45.68902891	32402	76.9	51.6	82.8	2	13.1
0.0000419903	91.15870891	32402	76.9	51.6	82.8	2	13.1
0.0000125161	44.21783581	21936	75	51.7	31.3	35.7	21.9
0.0000125161	44.21783581	21936	75	51.7	31.3	35.7	21.9
0.0000050065	86.39021581	21936	75	51.7	31.3	35.7	21.9
0.0000025032	156.6775158	21936	75	51.7	31.3	35.7	21.9
0.0000050065	86.39021581	21936	75	51.7	31.3	35.7	21.9
0.0000050065	86.39021581	21936	75	51.7	31.3	35.7	21.9
0.0000050065	86.39021581	21936	75	51.7	31.3	35.7	21.9
0.0000050065	86.39021581	21936	75	51.7	31.3	35.7	21.9
0.0000075097	62.96111581	21936	75	51.7	31.3	35.7	21.9
0.0000075097	62.96111581	21936	75	51.7	31.3	35.7	21.9
0.0000100129	51.24656581	21936	75	51.7	31.3	35.7	21.9
0.0000050065	86.39021581	21936	75	51.7	31.3	35.7	21.9
0.0000050065	86.39021581	21936	75	51.7	31.3	35.7	21.9
0.0000025032	156.6775158	21936	75	51.7	31.3	35.7	21.9
0.0000050065	86.39021581	21936	75	51.7	31.3	35.7	21.9
0.0000050065	86.39021581	21936	75	51.7	31.3	35.7	21.9
0.0000050065	86.39021581	21936	75	51.7	31.3	35.7	21.9
0.0000050065	86.39021581	21936	75	51.7	31.3	35.7	21.9
0.0000050065	86.39021581	21936	75	51.7	31.3	35.7	21.9
0.0000050065	86.39021581	21936	75	51.7	31.3	35.7	21.9
0.0000025032	156.6775158	21936	75	51.7	31.3	35.7	21.9
0.0000025032	156.6775158	21936	75	51.7	31.3	35.7	21.9
0.0000025032	156.6775158	21936	75	51.7	31.3	35.7	21.9
0.0000075097	62.96111581	21936	75	51.7	31.3	35.7	21.9
0.0000100129	51.24656581	21936	75	51.7	31.3	35.7	21.9
0.0000025032	156.6775158	21936	75	51.7	31.3	35.7	21.9
0.0000025032	156.6775158	21936	75	51.7	31.3	35.7	21.9
0.0000025032	156.6775158	21936	75	51.7	31.3	35.7	21.9
0.0000050065	86.39021581	21936	75	51.7	31.3	35.7	21.9
0.0000050065	86.39021581	21936	75	51.7	31.3	35.7	21.9
0.0000050065	86.39021581	21936	75	51.7	31.3	35.7	21.9
0.0000050065	86.39021581	21936	75	51.7	31.3	35.7	21.9
0.0000050065	86.39021581	21936	75	51.7	31.3	35.7	21.9
0.0000155254	319.9077745	24294	73.3	49.8	70.5	1.6	32.2
0.0000748923	65.59148197	24658	73.4	50.6	89.5	1.1	6.8
0.0000374462	117.259042	24658	73.4	50.6	89.5	1.1	6.8
0.0000374462	117.259042	24658	73.4	50.6	89.5	1.1	6.8
0.0000748923	65.59148197	24658	73.4	50.6	89.5	1.1	6.8
0.0000748923	65.59148197	24658	73.4	50.6	89.5	1.1	6.8
0.0000374462	117.259042	24658	73.4	50.6	89.5	1.1	6.8
0.0000748923	65.59148197	24658	73.4	50.6	89.5	1.1	6.8
0.0000748923	65.59148197	24658	73.4	50.6	89.5	1.1	6.8
0.0001136428	114.8263912	65428	74.1	51.6	86.6	0.3	3.2
0.0000568214	183.3023512	65428	74.1	51.6	86.6	0.3	3.2
0.0000568214	183.3023512	65428	74.1	51.6	86.6	0.3	3.2
0.0000568214	183.3023512	65428	74.1	51.6	86.6	0.3	3.2
0.0001136428	114.8263912	65428	74.1	51.6	86.6	0.3	3.2
0.0000568214	183.3023512	65428	74.1	51.6	86.6	0.3	3.2
0.0001136428	114.8263912	65428	74.1	51.6	86.6	0.3	3.2
0.0001704642	92.00107121	65428	74.1	51.6	86.6	0.3	3.2
0.0001136428	114.8263912	65428	74.1	51.6	86.6	0.3	3.2
0.0001136428	114.8263912	65428	74.1	51.6	86.6	0.3	3.2
0.0001136428	114.8263912	65428	74.1	51.6	86.6	0.3	3.2
0.0001136428	114.8263912	65428	74.1	51.6	86.6	0.3	3.2
0.0001136428	114.8263912	65428	74.1	51.6	86.6	0.3	3.2
0.0003184206	11.19944131	12486	67.4	50.9	67.9	0.6	37.3
0.0003184206	11.19944131	12486	67.4	50.9	67.9	0.6	37.3
0.0009552619	5.186001314	12486	67.4	50.9	67.9	0.6	37.3
0.0001592103	20.21960131	12486	67.4	50.9	67.9	0.6	37.3
0.0001592103	20.21960131	12486	67.4	50.9	67.9	0.6	37.3
0.0001592103	20.21960131	12486	67.4	50.9	67.9	0.6	37.3
0.0003184206	11.19944131	12486	67.4	50.9	67.9	0.6	37.3
0.0001592103	20.21960131	12486	67.4	50.9	67.9	0.6	37.3
0.0006368413	6.689361314	12486	67.4	50.9	67.9	0.6	37.3
0.0012736825	4.434321314	12486	67.4	50.9	67.9	0.6	37.3
0.0003184206	11.19944131	12486	67.4	50.9	67.9	0.6	37.3
0.0003184206	11.19944131	12486	67.4	50.9	67.9	0.6	37.3
0.0127368253	2.404785314	12486	67.4	50.9	67.9	0.6	37.3
0.0001537988	26.32657023	12345	69.9	51.1	77.2	4	8.3
0.0000768994	48.40717023	12345	69.9	51.1	77.2	4	8.3
0.0001537988	26.32657023	12345	69.9	51.1	77.2	4	8.3
0.0001537988	26.32657023	12345	69.9	51.1	77.2	4	8.3
0.0000768994	48.40717023	12345	69.9	51.1	77.2	4	8.3
0.0003075977	15.28627023	12345	69.9	51.1	77.2	4	8.3
0.0003075977	15.28627023	12345	69.9	51.1	77.2	4	8.3
0.0001537988	26.32657023	12345	69.9	51.1	77.2	4	8.3
0.0001537988	26.32657023	12345	69.9	51.1	77.2	4	8.3
0.0003075977	15.28627023	12345	69.9	51.1	77.2	4	8.3
0.0003075977	15.28627023	12345	69.9	51.1	77.2	4	8.3
0.0000768994	48.40717023	12345	69.9	51.1	77.2	4	8.3
0.0002306982	18.96637023	12345	69.9	51.1	77.2	4	8.3
0.0000520969	113.1821723	30183	76.8	50.7	69.5	3.3	14.6
0.0000520969	113.1821723	30183	76.8	50.7	69.5	3.3	14.6
0.0000520969	113.1821723	30183	76.8	50.7	69.5	3.3	14.6
0.0000170654	229.0974542	56257	78.8	51.1	75.8	2	4.6
0.0000341309	140.5401542	56257	78.8	51.1	75.8	2	4.6
0.0000511963	111.0210542	56257	78.8	51.1	75.8	2	4.6
0.0000170654	229.0974542	56257	78.8	51.1	75.8	2	4.6
0.0000341309	140.5401542	56257	78.8	51.1	75.8	2	4.6
0.0000511963	111.0210542	56257	78.8	51.1	75.8	2	4.6
0.0000170654	229.0974542	56257	78.8	51.1	75.8	2	4.6
0.0000170654	229.0974542	56257	78.8	51.1	75.8	2	4.6
0.0016038492	54.99214949	23419	72.3	51.1	93.1	0.6	2.6
0.0016038492	54.99214949	23419	72.3	51.1	93.1	0.6	2.6
0.0016038492	54.99214949	23419	72.3	51.1	93.1	0.6	2.6
0.0016038492	54.99214949	23419	72.3	51.1	93.1	0.6	2.6
0.0016038492	54.99214949	23419	72.3	51.1	93.1	0.6	2.6
0.0016038492	54.99214949	23419	72.3	51.1	93.1	0.6	2.6
0.0016038492	54.99214949	23419	72.3	51.1	93.1	0.6	2.6
0.0000378673	55.13319253	19267	79.6	53.4	93.7	0.2	4.3
0.0000757346	31.42395253	19267	79.6	53.4	93.7	0.2	4.3
0.0000757346	31.42395253	19267	79.6	53.4	93.7	0.2	4.3
0.0000378673	55.13319253	19267	79.6	53.4	93.7	0.2	4.3
0.0000378673	55.13319253	19267	79.6	53.4	93.7	0.2	4.3
0.0000378673	55.13319253	19267	79.6	53.4	93.7	0.2	4.3
0.0001136019	23.52087253	19267	79.6	53.4	93.7	0.2	4.3
0.0000757346	31.42395253	19267	79.6	53.4	93.7	0.2	4.3
0.0001136019	23.52087253	19267	79.6	53.4	93.7	0.2	4.3
0.0000378673	55.13319253	19267	79.6	53.4	93.7	0.2	4.3
0.0000757346	31.42395253	19267	79.6	53.4	93.7	0.2	4.3
0.0001514693	19.56933253	19267	79.6	53.4	93.7	0.2	4.3
0.0000378673	55.13319253	19267	79.6	53.4	93.7	0.2	4.3
0.0000757346	31.42395253	19267	79.6	53.4	93.7	0.2	4.3
0.0021676301	37.28116838	16582	73	51	93.4	0.8	4.5
0.0000366650	94.36225589	27087	73.8	51.1	84.2	1.2	14.6
0.0000549974	69.81433589	27087	73.8	51.1	84.2	1.2	14.6
0.0000366650	94.36225589	27087	73.8	51.1	84.2	1.2	14.6
0.0000366650	94.36225589	27087	73.8	51.1	84.2	1.2	14.6
0.0000183325	168.0060159	27087	73.8	51.1	84.2	1.2	14.6
0.0000183325	168.0060159	27087	73.8	51.1	84.2	1.2	14.6
0.0000366650	94.36225589	27087	73.8	51.1	84.2	1.2	14.6
0.0004201901	31.84905459	25170	75	52	54.4	11.1	13.8
0.0002100951	47.28850959	25170	75	52	54.4	11.1	13.8
0.0001050475	78.16741959	25170	75	52	54.4	11.1	13.8
0.0001040583	148.756228	19151	74.4	54	88.6	0.2	12.6
0.0002081165	81.06326801	19151	74.4	54	88.6	0.2	12.6
0.0002081165	81.06326801	19151	74.4	54	88.6	0.2	12.6
0.0002081165	81.06326801	19151	74.4	54	88.6	0.2	12.6
0.0002081165	81.06326801	19151	74.4	54	88.6	0.2	12.6
0.0004162331	47.21678801	19151	74.4	54	88.6	0.2	12.6
0.0002081165	81.06326801	19151	74.4	54	88.6	0.2	12.6
0.0005202914	40.44749201	19151	74.4	54	88.6	0.2	12.6
0.0000609069	84.70257663	33076	78.7	51.5	81.8	1.5	8.4
0.0000609069	84.70257663	33076	78.7	51.5	81.8	1.5	8.4
0.0000157099	184.666656	41623	71.8	50.9	80.4	1.4	2.3
0.0000314199	108.679116	41623	71.8	50.9	80.4	1.4	2.3
0.0000314199	108.679116	41623	71.8	50.9	80.4	1.4	2.3
0.0097799511	50.60283397	36339	80.7	54	92.1	0.6	9.3
0.0000200705	204.083381	13336	65.4	49.4	41.8	9.6	64.5
0.0006723442	154.9524659	99621	77.1	50.8	92.9	0.4	3.3
0.0002241147	275.6388659	99621	77.1	50.8	92.9	0.4	3.3
0.0015965939	54.56018883	19944	76.1	52.8	97	90.9	4.8
0.0010643960	73.64972883	19944	76.1	52.8	97	90.9	4.8
0.0000363240	61.17123031	18121	71.6	51.1	93.5	66.7	12.9
0.0000363240	61.17123031	18121	71.6	51.1	93.5	66.7	12.9
0.0000363240	61.17123031	18121	71.6	51.1	93.5	66.7	12.9
0.0000726480	35.60889031	18121	71.6	51.1	93.5	66.7	12.9
0.0000181620	112.2959103	18121	71.6	51.1	93.5	66.7	12.9
0.0001521260	28.77063548	14060	71.3	52.6	86.7	0.6	13.7
0.0001521260	28.77063548	14060	71.3	52.6	86.7	0.6	13.7
0.0001521260	28.77063548	14060	71.3	52.6	86.7	0.6	13.7
0.0001521260	28.77063548	14060	71.3	52.6	86.7	0.6	13.7
0.0002281889	20.62395548	14060	71.3	52.6	86.7	0.6	13.7
0.0006085038	10.44060548	14060	71.3	52.6	86.7	0.6	13.7
0.0001521260	28.77063548	14060	71.3	52.6	86.7	0.6	13.7
0.0001521260	28.77063548	14060	71.3	52.6	86.7	0.6	13.7
0.0003042519	16.55061548	14060	71.3	52.6	86.7	0.6	13.7
0.0001521260	28.77063548	14060	71.3	52.6	86.7	0.6	13.7
0.0002281889	20.62395548	14060	71.3	52.6	86.7	0.6	13.7
0.0000123663	89.10410304	18207	73.9	52.1	88.7	1.1	5.4
0.0000247326	48.61778304	18207	73.9	52.1	88.7	1.1	5.4
0.0000123663	89.10410304	18207	73.9	52.1	88.7	1.1	5.4
0.0000123663	89.10410304	18207	73.9	52.1	88.7	1.1	5.4
0.0000123663	89.10410304	18207	73.9	52.1	88.7	1.1	5.4
0.0000247326	48.61778304	18207	73.9	52.1	88.7	1.1	5.4
0.0000370989	35.12234304	18207	73.9	52.1	88.7	1.1	5.4
0.0000247326	48.61778304	18207	73.9	52.1	88.7	1.1	5.4
0.0001731281	13.91522304	18207	73.9	52.1	88.7	1.1	5.4
0.0000370989	35.12234304	18207	73.9	52.1	88.7	1.1	5.4
0.0000123663	89.10410304	18207	73.9	52.1	88.7	1.1	5.4
0.0000247326	48.61778304	18207	73.9	52.1	88.7	1.1	5.4
0.0000247326	48.61778304	18207	73.9	52.1	88.7	1.1	5.4
0.0000247326	48.61778304	18207	73.9	52.1	88.7	1.1	5.4
0.0000370989	35.12234304	18207	73.9	52.1	88.7	1.1	5.4
0.0000370989	35.12234304	18207	73.9	52.1	88.7	1.1	5.4
0.0000123663	89.10410304	18207	73.9	52.1	88.7	1.1	5.4
0.0000247326	48.61778304	18207	73.9	52.1	88.7	1.1	5.4
0.0000123663	89.10410304	18207	73.9	52.1	88.7	1.1	5.4
0.0000247326	48.61778304	18207	73.9	52.1	88.7	1.1	5.4
0.0000247326	48.61778304	18207	73.9	52.1	88.7	1.1	5.4
0.0000247326	48.61778304	18207	73.9	52.1	88.7	1.1	5.4
0.0000370989	35.12234304	18207	73.9	52.1	88.7	1.1	5.4
0.0000370989	35.12234304	18207	73.9	52.1	88.7	1.1	5.4
0.0000123663	89.10410304	18207	73.9	52.1	88.7	1.1	5.4
0.0000370989	35.12234304	18207	73.9	52.1	88.7	1.1	5.4
0.0000247326	48.61778304	18207	73.9	52.1	88.7	1.1	5.4
0.0000123663	89.10410304	18207	73.9	52.1	88.7	1.1	5.4
0.0000123663	89.10410304	18207	73.9	52.1	88.7	1.1	5.4
0.0000247326	48.61778304	18207	73.9	52.1	88.7	1.1	5.4
0.0000865640	19.69898304	18207	73.9	52.1	88.7	1.1	5.4
0.0000247326	48.61778304	18207	73.9	52.1	88.7	1.1	5.4
0.0000123663	89.10410304	18207	73.9	52.1	88.7	1.1	5.4
0.0000123663	89.10410304	18207	73.9	52.1	88.7	1.1	5.4
0.0000247326	48.61778304	18207	73.9	52.1	88.7	1.1	5.4
0.0000247326	48.61778304	18207	73.9	52.1	88.7	1.1	5.4
0.0000247326	48.61778304	18207	73.9	52.1	88.7	1.1	5.4
0.0000247326	48.61778304	18207	73.9	52.1	88.7	1.1	5.4
0.0000494652	28.37462304	18207	73.9	52.1	88.7	1.1	5.4
0.0000123663	89.10410304	18207	73.9	52.1	88.7	1.1	5.4
0.0000247326	48.61778304	18207	73.9	52.1	88.7	1.1	5.4
0.0000530490	73.32857526	34042	76.8	49.7	69	2.5	31.2
0.0000265245	116.2500253	34042	76.8	49.7	69	2.5	31.2
0.0000132622	202.0929253	34042	76.8	49.7	69	2.5	31.2
0.0000132622	202.0929253	34042	76.8	49.7	69	2.5	31.2
0.0000963577	163.894551	12096	67.9	48.6	51.8	0.4	67.6
0.0000201580	78.96344969	19788	72.3	51.4	31.4	36.1	26.5
0.0000201580	78.96344969	19788	72.3	51.4	31.4	36.1	26.5
0.0000201580	78.96344969	19788	72.3	51.4	31.4	36.1	26.5
0.0000201580	78.96344969	19788	72.3	51.4	31.4	36.1	26.5
0.0000302371	57.21344969	19788	72.3	51.4	31.4	36.1	26.5
0.0000302371	57.21344969	19788	72.3	51.4	31.4	36.1	26.5
0.0000201580	78.96344969	19788	72.3	51.4	31.4	36.1	26.5
0.0004375410	73.61653035	24627	75	51.2	88.3	1.2	11.4
0.0005229838	20.98726164	26910	70	51.1	88.3	0.9	7.9
0.0000825764	51.1394469	26910	70	51.1	88.3	0.9	7.9
0.0000550509	69.0423069	26910	70	51.1	88.3	0.9	7.9
0.0000550509	69.0423069	26910	70	51.1	88.3	0.9	7.9
0.0000550509	69.0423069	26910	70	51.1	88.3	0.9	7.9
0.0000560695	194.1146126	12146	72.5	50.9	26.6	0.7	41.3
0.0000125124	119.2197849	27021	73.2	52.1	86	1.3	11.5
0.0000375371	49.91210489	27021	73.2	52.1	86	1.3	11.5
0.0000250247	67.23902489	27021	73.2	52.1	86	1.3	11.5
0.0000250247	67.23902489	27021	73.2	52.1	86	1.3	11.5
0.0000500494	41.24864489	27021	73.2	52.1	86	1.3	11.5
0.0000250247	67.23902489	27021	73.2	52.1	86	1.3	11.5
0.0000250247	67.23902489	27021	73.2	52.1	86	1.3	11.5
0.0000250247	67.23902489	27021	73.2	52.1	86	1.3	11.5
0.0000250247	67.23902489	27021	73.2	52.1	86	1.3	11.5
0.0000375371	49.91210489	27021	73.2	52.1	86	1.3	11.5
0.0000250247	67.23902489	27021	73.2	52.1	86	1.3	11.5
0.0000125124	119.2197849	27021	73.2	52.1	86	1.3	11.5
0.0000500494	41.24864489	27021	73.2	52.1	86	1.3	11.5
0.0000500494	41.24864489	27021	73.2	52.1	86	1.3	11.5
0.0000125124	119.2197849	27021	73.2	52.1	86	1.3	11.5
0.0000250247	67.23902489	27021	73.2	52.1	86	1.3	11.5
0.0000250247	67.23902489	27021	73.2	52.1	86	1.3	11.5
0.0000250247	67.23902489	27021	73.2	52.1	86	1.3	11.5
0.0000024569	96.61435047	18721	72.7	51.4	48.3	15.5	21.6
0.0000024569	96.61435047	18721	72.7	51.4	48.3	15.5	21.6
0.0000024569	96.61435047	18721	72.7	51.4	48.3	15.5	21.6
0.0000049138	52.34353047	18721	72.7	51.4	48.3	15.5	21.6
0.0000049138	52.34353047	18721	72.7	51.4	48.3	15.5	21.6
0.0000098276	30.20812047	18721	72.7	51.4	48.3	15.5	21.6
0.0000098276	30.20812047	18721	72.7	51.4	48.3	15.5	21.6
0.0000049138	52.34353047	18721	72.7	51.4	48.3	15.5	21.6
0.0000098276	30.20812047	18721	72.7	51.4	48.3	15.5	21.6
0.0000122845	25.78103847	18721	72.7	51.4	48.3	15.5	21.6
0.0000049138	52.34353047	18721	72.7	51.4	48.3	15.5	21.6
0.0000049138	52.34353047	18721	72.7	51.4	48.3	15.5	21.6
0.0000073707	37.58659047	18721	72.7	51.4	48.3	15.5	21.6
0.0000049138	52.34353047	18721	72.7	51.4	48.3	15.5	21.6
0.0000024569	96.61435047	18721	72.7	51.4	48.3	15.5	21.6
0.0000024569	96.61435047	18721	72.7	51.4	48.3	15.5	21.6
0.0000024569	96.61435047	18721	72.7	51.4	48.3	15.5	21.6
0.0000024569	96.61435047	18721	72.7	51.4	48.3	15.5	21.6
0.0000024569	96.61435047	18721	72.7	51.4	48.3	15.5	21.6
0.0000049138	52.34353047	18721	72.7	51.4	48.3	15.5	21.6
0.0000049138	52.34353047	18721	72.7	51.4	48.3	15.5	21.6
0.0000049138	52.34353047	18721	72.7	51.4	48.3	15.5	21.6
0.0000147414	22.82965047	18721	72.7	51.4	48.3	15.5	21.6
0.0000024569	96.61435047	18721	72.7	51.4	48.3	15.5	21.6
0.0000073707	37.58659047	18721	72.7	51.4	48.3	15.5	21.6
0.0000049138	52.34353047	18721	72.7	51.4	48.3	15.5	21.6
0.0000049138	52.34353047	18721	72.7	51.4	48.3	15.5	21.6
0.0000049138	52.34353047	18721	72.7	51.4	48.3	15.5	21.6
0.0000024569	96.61435047	18721	72.7	51.4	48.3	15.5	21.6
0.0000024569	96.61435047	18721	72.7	51.4	48.3	15.5	21.6
0.0000049138	52.34353047	18721	72.7	51.4	48.3	15.5	21.6
0.0000049138	52.34353047	18721	72.7	51.4	48.3	15.5	21.6
0.0000049138	52.34353047	18721	72.7	51.4	48.3	15.5	21.6
0.0000098276	30.20812047	18721	72.7	51.4	48.3	15.5	21.6
0.0000098276	30.20812047	18721	72.7	51.4	48.3	15.5	21.6
0.0000024569	96.61435047	18721	72.7	51.4	48.3	15.5	21.6
0.0000024569	96.61435047	18721	72.7	51.4	48.3	15.5	21.6
0.0000049138	52.34353047	18721	72.7	51.4	48.3	15.5	21.6
0.0000049138	52.34353047	18721	72.7	51.4	48.3	15.5	21.6
0.0000049138	52.34353047	18721	72.7	51.4	48.3	15.5	21.6
0.0000098276	30.20812047	18721	72.7	51.4	48.3	15.5	21.6
0.0000049138	52.34353047	18721	72.7	51.4	48.3	15.5	21.6
0.0000049138	52.34353047	18721	72.7	51.4	48.3	15.5	21.6
0.0000049138	52.34353047	18721	72.7	51.4	48.3	15.5	21.6
0.0000221120	17.91067047	18721	72.7	51.4	48.3	15.5	21.6
0.0000122845	25.78103847	18721	72.7	51.4	48.3	15.5	21.6
0.0000024569	96.61435047	18721	72.7	51.4	48.3	15.5	21.6
0.0000098276	30.20812047	18721	72.7	51.4	48.3	15.5	21.6
0.0000122845	25.78103847	18721	72.7	51.4	48.3	15.5	21.6
0.0000024569	96.61435047	18721	72.7	51.4	48.3	15.5	21.6
0.0000024569	96.61435047	18721	72.7	51.4	48.3	15.5	21.6
0.0000049138	52.34353047	18721	72.7	51.4	48.3	15.5	21.6
0.0000049138	52.34353047	18721	72.7	51.4	48.3	15.5	21.6
0.0000073707	37.58659047	18721	72.7	51.4	48.3	15.5	21.6
0.0000024569	96.61435047	18721	72.7	51.4	48.3	15.5	21.6
0.0000049138	52.34353047	18721	72.7	51.4	48.3	15.5	21.6
0.0000049138	52.34353047	18721	72.7	51.4	48.3	15.5	21.6
0.0000049138	52.34353047	18721	72.7	51.4	48.3	15.5	21.6
0.0000049138	52.34353047	18721	72.7	51.4	48.3	15.5	21.6
0.0000098276	30.20812047	18721	72.7	51.4	48.3	15.5	21.6
0.0000049138	52.34353047	18721	72.7	51.4	48.3	15.5	21.6
0.0000049138	52.34353047	18721	72.7	51.4	48.3	15.5	21.6
0.0000147414	22.82965047	18721	72.7	51.4	48.3	15.5	21.6
0.0000073707	37.58659047	18721	72.7	51.4	48.3	15.5	21.6
0.0000024569	96.61435047	18721	72.7	51.4	48.3	15.5	21.6
0.0000049138	52.34353047	18721	72.7	51.4	48.3	15.5	21.6
0.0000024569	96.61435047	18721	72.7	51.4	48.3	15.5	21.6
0.0000024569	96.61435047	18721	72.7	51.4	48.3	15.5	21.6
0.0000049138	52.34353047	18721	72.7	51.4	48.3	15.5	21.6
0.0000098276	30.20812047	18721	72.7	51.4	48.3	15.5	21.6
0.0000098276	30.20812047	18721	72.7	51.4	48.3	15.5	21.6
0.0000147414	22.82965047	18721	72.7	51.4	48.3	15.5	21.6
0.0000073707	37.58659047	18721	72.7	51.4	48.3	15.5	21.6
0.0000049138	52.34353047	18721	72.7	51.4	48.3	15.5	21.6
0.0000098276	30.20812047	18721	72.7	51.4	48.3	15.5	21.6
0.0000049138	52.34353047	18721	72.7	51.4	48.3	15.5	21.6
0.0000049138	52.34353047	18721	72.7	51.4	48.3	15.5	21.6
0.0000049138	52.34353047	18721	72.7	51.4	48.3	15.5	21.6
0.0000049138	52.34353047	18721	72.7	51.4	48.3	15.5	21.6
0.0000049138	52.34353047	18721	72.7	51.4	48.3	15.5	21.6
0.0000049138	52.34353047	18721	72.7	51.4	48.3	15.5	21.6
0.0000049138	52.34353047	18721	72.7	51.4	48.3	15.5	21.6
0.0000098276	30.20812047	18721	72.7	51.4	48.3	15.5	21.6
0.0000049138	52.34353047	18721	72.7	51.4	48.3	15.5	21.6
0.0000049138	52.34353047	18721	72.7	51.4	48.3	15.5	21.6
0.0000049138	52.34353047	18721	72.7	51.4	48.3	15.5	21.6
0.0000049138	52.34353047	18721	72.7	51.4	48.3	15.5	21.6
0.0000098276	30.20812047	18721	72.7	51.4	48.3	15.5	21.6
0.0000049138	52.34353047	18721	72.7	51.4	48.3	15.5	21.6
0.0000049138	52.34353047	18721	72.7	51.4	48.3	15.5	21.6
0.0000024569	96.61435047	18721	72.7	51.4	48.3	15.5	21.6
0.0000073707	37.58659047	18721	72.7	51.4	48.3	15.5	21.6
0.0000024569	96.61435047	18721	72.7	51.4	48.3	15.5	21.6
0.0000024569	96.61435047	18721	72.7	51.4	48.3	15.5	21.6
0.0000098276	30.20812047	18721	72.7	51.4	48.3	15.5	21.6
0.0000122845	25.78103847	18721	72.7	51.4	48.3	15.5	21.6
0.0000073707	37.58659047	18721	72.7	51.4	48.3	15.5	21.6
0.0000073707	37.58659047	18721	72.7	51.4	48.3	15.5	21.6
0.0000098276	30.20812047	18721	72.7	51.4	48.3	15.5	21.6
0.0000098276	30.20812047	18721	72.7	51.4	48.3	15.5	21.6
0.0000024569	96.61435047	18721	72.7	51.4	48.3	15.5	21.6
0.0000049138	52.34353047	18721	72.7	51.4	48.3	15.5	21.6
0.0000122845	25.78103847	18721	72.7	51.4	48.3	15.5	21.6
0.0000098276	30.20812047	18721	72.7	51.4	48.3	15.5	21.6
0.0000049138	52.34353047	18721	72.7	51.4	48.3	15.5	21.6
0.0000049138	52.34353047	18721	72.7	51.4	48.3	15.5	21.6
0.0000073707	37.58659047	18721	72.7	51.4	48.3	15.5	21.6
0.0000049138	52.34353047	18721	72.7	51.4	48.3	15.5	21.6
0.0000049138	52.34353047	18721	72.7	51.4	48.3	15.5	21.6
0.0000024569	96.61435047	18721	72.7	51.4	48.3	15.5	21.6
0.0000098276	30.20812047	18721	72.7	51.4	48.3	15.5	21.6
0.0000049138	52.34353047	18721	72.7	51.4	48.3	15.5	21.6
0.0000049138	52.34353047	18721	72.7	51.4	48.3	15.5	21.6
0.0000198597	96.01277971	14495	68	46.8	45.2	3.3	64.1
0.0019120459	46.27718986	16813	75.8	52.7	92.1	0.1	6.3
0.0001615770	104.2010843	41977	78.2	52.9	81.6	1.1	4.1
0.0000807885	176.2945043	41977	78.2	52.9	81.6	1.1	4.1
0.0001615770	104.2010843	41977	78.2	52.9	81.6	1.1	4.1
0.0002423655	80.16994427	41977	78.2	52.9	81.6	1.1	4.1
0.0000807885	176.2945043	41977	78.2	52.9	81.6	1.1	4.1
0.0001615770	104.2010843	41977	78.2	52.9	81.6	1.1	4.1
0.0001615770	104.2010843	41977	78.2	52.9	81.6	1.1	4.1
0.0000497946	99.95092402	26360	77	50.6	57.7	2	24.1
0.0000746919	73.85092402	26360	77	50.6	57.7	2	24.1
0.0000721553	125.6517499	46628	77.9	51.9	84.5	0.8	7.7
0.0000008174	634.8877751	23609	76	49.6	60.2	7.9	25.4
0.0000016348	354.0517751	23609	76	49.6	60.2	7.9	25.4
0.0000032696	213.6337751	23609	76	49.6	60.2	7.9	25.4
0.0000024522	260.4397751	23609	76	49.6	60.2	7.9	25.4
0.0000008174	634.8877751	23609	76	49.6	60.2	7.9	25.4
0.0000016348	354.0517751	23609	76	49.6	60.2	7.9	25.4
0.0000016348	354.0517751	23609	76	49.6	60.2	7.9	25.4
0.0000857633	236.8503647	28321	74.5	52	74.7	3.3	23.3
0.0000025749	99.66272957	34556	85.5	49.2	49.7	7.8	14.1
0.0000012874	172.7166296	34556	85.5	49.2	49.7	7.8	14.1
0.0000025749	99.66272957	34556	85.5	49.2	49.7	7.8	14.1
0.0000025749	99.66272957	34556	85.5	49.2	49.7	7.8	14.1
0.0000012874	172.7166296	34556	85.5	49.2	49.7	7.8	14.1
0.0000012874	172.7166296	34556	85.5	49.2	49.7	7.8	14.1
0.0000012874	172.7166296	34556	85.5	49.2	49.7	7.8	14.1
0.0000025749	99.66272957	34556	85.5	49.2	49.7	7.8	14.1
0.0000025749	99.66272957	34556	85.5	49.2	49.7	7.8	14.1
0.0000025749	99.66272957	34556	85.5	49.2	49.7	7.8	14.1
0.0000025749	99.66272957	34556	85.5	49.2	49.7	7.8	14.1
0.0000012874	172.7166296	34556	85.5	49.2	49.7	7.8	14.1
0.0000025749	99.66272957	34556	85.5	49.2	49.7	7.8	14.1
0.0000193117	36.34934957	34556	85.5	49.2	49.7	7.8	14.1
0.0000012874	172.7166296	34556	85.5	49.2	49.7	7.8	14.1
0.0000012874	172.7166296	34556	85.5	49.2	49.7	7.8	14.1
0.0000025749	99.66272957	34556	85.5	49.2	49.7	7.8	14.1
0.0000025749	99.66272957	34556	85.5	49.2	49.7	7.8	14.1
0.0000012874	172.7166296	34556	85.5	49.2	49.7	7.8	14.1
0.0000025749	99.66272957	34556	85.5	49.2	49.7	7.8	14.1
0.0000025749	99.66272957	34556	85.5	49.2	49.7	7.8	14.1
0.0000025749	99.66272957	34556	85.5	49.2	49.7	7.8	14.1
0.0000025749	99.66272957	34556	85.5	49.2	49.7	7.8	14.1
0.0000064372	55.83038957	34556	85.5	49.2	49.7	7.8	14.1
0.0000025749	99.66272957	34556	85.5	49.2	49.7	7.8	14.1
0.0000038623	75.31142957	34556	85.5	49.2	49.7	7.8	14.1
0.0000064372	55.83038957	34556	85.5	49.2	49.7	7.8	14.1
0.0000012874	172.7166296	34556	85.5	49.2	49.7	7.8	14.1
0.0000090121	47.48137243	34556	85.5	49.2	49.7	7.8	14.1
0.0000012874	172.7166296	34556	85.5	49.2	49.7	7.8	14.1
0.0000012874	172.7166296	34556	85.5	49.2	49.7	7.8	14.1
0.0000025749	99.66272957	34556	85.5	49.2	49.7	7.8	14.1
0.0000038623	75.31142957	34556	85.5	49.2	49.7	7.8	14.1
0.0000025749	99.66272957	34556	85.5	49.2	49.7	7.8	14.1
0.0000025749	99.66272957	34556	85.5	49.2	49.7	7.8	14.1
0.0000012874	172.7166296	34556	85.5	49.2	49.7	7.8	14.1
0.0000012874	172.7166296	34556	85.5	49.2	49.7	7.8	14.1
0.0000011174	202.3443893	26697	73.6	49.2	47.5	3.5	30.2
0.0000011174	202.3443893	26697	73.6	49.2	47.5	3.5	30.2
0.0000011174	202.3443893	26697	73.6	49.2	47.5	3.5	30.2
0.0000022348	113.3694893	26697	73.6	49.2	47.5	3.5	30.2
0.0000055869	59.98454932	26697	73.6	49.2	47.5	3.5	30.2
0.0000022348	113.3694893	26697	73.6	49.2	47.5	3.5	30.2
0.0000011174	202.3443893	26697	73.6	49.2	47.5	3.5	30.2
0.0000022348	113.3694893	26697	73.6	49.2	47.5	3.5	30.2
0.0000011174	202.3443893	26697	73.6	49.2	47.5	3.5	30.2
0.0000022348	113.3694893	26697	73.6	49.2	47.5	3.5	30.2
0.0000011174	202.3443893	26697	73.6	49.2	47.5	3.5	30.2
0.0000089391	46.63831432	26697	73.6	49.2	47.5	3.5	30.2
0.0000022348	113.3694893	26697	73.6	49.2	47.5	3.5	30.2
0.0000022348	113.3694893	26697	73.6	49.2	47.5	3.5	30.2
0.0000022348	113.3694893	26697	73.6	49.2	47.5	3.5	30.2
0.0000145261	38.08303548	26697	73.6	49.2	47.5	3.5	30.2
0.0000125862	169.4220649	23895	77.8	51.8	51.3	9.9	20.1
0.0000452755	217.116452	20386	85.8	48.6	84.1	1.5	11.7
0.0000648775	58.40181409	36173	79.6	51.1	66.2	2.6	20.5
0.0000216258	113.1839741	36173	79.6	51.1	66.2	2.6	20.5
0.0000216258	113.1839741	36173	79.6	51.1	66.2	2.6	20.5
0.0000324387	85.79289409	36173	79.6	51.1	66.2	2.6	20.5
0.0000216258	113.1839741	36173	79.6	51.1	66.2	2.6	20.5
0.0000992884	58.93674945	14303	68.3	50.9	31.6	18.3	44.6
0.0001426966	44.22443036	35762	80.5	50.5	75.8	2.2	23.3
0.0000356742	97.58979536	35762	80.5	50.5	75.8	2.2	23.3
0.0000356742	97.58979536	35762	80.5	50.5	75.8	2.2	23.3
0.0000356742	97.58979536	35762	80.5	50.5	75.8	2.2	23.3
0.0000178371	168.7436154	35762	80.5	50.5	75.8	2.2	23.3
0.0000713483	62.01288536	35762	80.5	50.5	75.8	2.2	23.3
0.0000356742	97.58979536	35762	80.5	50.5	75.8	2.2	23.3
0.0000535112	73.87185536	35762	80.5	50.5	75.8	2.2	23.3
0.0000356742	97.58979536	35762	80.5	50.5	75.8	2.2	23.3
0.0000535112	73.87185536	35762	80.5	50.5	75.8	2.2	23.3
0.0000447207	100.4364769	42336	73.7	50.7	76.8	1.9	7.2
0.0000293080	89.13576246	31755	80.1	49.1	55.6	2.3	16
0.0000586161	59.23908246	31755	80.1	49.1	55.6	2.3	16
0.0000195387	119.0324425	31755	80.1	49.1	55.6	2.3	16
0.0000366347	131.8268366	25758	82.7	50.2	78.7	1.8	17.4
0.0000732695	79.73123655	25758	82.7	50.2	78.7	1.8	17.4
0.0000183174	236.0180366	25758	82.7	50.2	78.7	1.8	17.4
0.0000366347	131.8268366	25758	82.7	50.2	78.7	1.8	17.4
0.0000366347	131.8268366	25758	82.7	50.2	78.7	1.8	17.4
0.0000183174	236.0180366	25758	82.7	50.2	78.7	1.8	17.4
0.0000183174	236.0180366	25758	82.7	50.2	78.7	1.8	17.4
0.0000135506	83.0870278	24495	75.7	51.2	77.6	2.2	19.2
0.0000271012	51.4773178	24495	75.7	51.2	77.6	2.2	19.2
0.0000135506	83.0870278	24495	75.7	51.2	77.6	2.2	19.2
0.0000135506	83.0870278	24495	75.7	51.2	77.6	2.2	19.2
0.0000067753	146.3064478	24495	75.7	51.2	77.6	2.2	19.2
0.0000135506	83.0870278	24495	75.7	51.2	77.6	2.2	19.2
0.0000677530	32.5114918	24495	75.7	51.2	77.6	2.2	19.2
0.0000135506	83.0870278	24495	75.7	51.2	77.6	2.2	19.2
0.0000135506	83.0870278	24495	75.7	51.2	77.6	2.2	19.2
0.0000067753	146.3064478	24495	75.7	51.2	77.6	2.2	19.2
0.0000813036	30.4041778	24495	75.7	51.2	77.6	2.2	19.2
0.0000135506	83.0870278	24495	75.7	51.2	77.6	2.2	19.2
0.0000135506	83.0870278	24495	75.7	51.2	77.6	2.2	19.2
0.0000203259	62.0138878	24495	75.7	51.2	77.6	2.2	19.2
0.0000135506	83.0870278	24495	75.7	51.2	77.6	2.2	19.2
0.0000135506	83.0870278	24495	75.7	51.2	77.6	2.2	19.2
0.0000135506	83.0870278	24495	75.7	51.2	77.6	2.2	19.2
0.0000271012	51.4773178	24495	75.7	51.2	77.6	2.2	19.2
0.0000203259	62.0138878	24495	75.7	51.2	77.6	2.2	19.2
0.0000067753	146.3064478	24495	75.7	51.2	77.6	2.2	19.2
0.0000271012	51.4773178	24495	75.7	51.2	77.6	2.2	19.2
0.0000067753	146.3064478	24495	75.7	51.2	77.6	2.2	19.2
0.0000135506	83.0870278	24495	75.7	51.2	77.6	2.2	19.2
0.0000135506	83.0870278	24495	75.7	51.2	77.6	2.2	19.2
0.0000135506	83.0870278	24495	75.7	51.2	77.6	2.2	19.2
0.0000878349	239.7904413	35684	74.2	51.3	88.6	0.5	6.4
0.0000878349	239.7904413	35684	74.2	51.3	88.6	0.5	6.4
0.0002572678	103.3287995	22881	76.4	55.2	89.9	0.7	9.3
0.0003859017	75.50271955	22881	76.4	55.2	89.9	0.7	9.3
0.0002572678	103.3287995	22881	76.4	55.2	89.9	0.7	9.3
0.0002572678	103.3287995	22881	76.4	55.2	89.9	0.7	9.3
0.0002572678	103.3287995	22881	76.4	55.2	89.9	0.7	9.3
0.0003859017	75.50271955	22881	76.4	55.2	89.9	0.7	9.3
0.0001028595	160.0458154	12834	66.9	49.9	43.9	0.8	71.8
0.0018001800	30.6960623	16303	76.9	49.5	92.8	0.4	3.4
0.0018001800	30.6960623	16303	76.9	49.5	92.8	0.4	3.4
0.0000179612	303.3665811	26586	71.6	50.5	81.3	1.3	16.8
0.0005477651	47.54750783	32387	81.4	55.1	93.8	0.4	6.8
0.0002191060	85.45097183	32387	81.4	55.1	93.8	0.4	6.8
0.0002191060	85.45097183	32387	81.4	55.1	93.8	0.4	6.8
0.0003286591	64.39349183	32387	81.4	55.1	93.8	0.4	6.8
0.0004382121	53.86475183	32387	81.4	55.1	93.8	0.4	6.8
0.0032865907	26.49002783	32387	81.4	55.1	93.8	0.4	6.8
0.0000847135	117.643032	18452	74.8	48.3	75.7	0.8	26.7
0.0000423567	215.204832	18452	74.8	48.3	75.7	0.8	26.7
0.0000751033	204.2335478	22443	92.8	45.9	60.4	4.9	9
0.0013315579	216.6270366	62452	83.1	50.5	95.9	0.3	3.6
0.0013315579	216.6270366	62452	83.1	50.5	95.9	0.3	3.6
0.0000082044	83.95665302	15405	67.6	51.3	43.3	11.2	32.5
0.0000041022	157.000113	15405	67.6	51.3	43.3	11.2	32.5
0.0000082044	83.95665302	15405	67.6	51.3	43.3	11.2	32.5
0.0000082044	83.95665302	15405	67.6	51.3	43.3	11.2	32.5
0.0000082044	83.95665302	15405	67.6	51.3	43.3	11.2	32.5
0.0000303582	78.60453598	36524	79.6	48.6	53.3	2.2	15.5
0.0000227687	93.55635598	36524	79.6	48.6	53.3	2.2	15.5
0.0000151791	123.459996	36524	79.6	48.6	53.3	2.2	15.5
0.0000151791	123.459996	36524	79.6	48.6	53.3	2.2	15.5
0.0000075896	213.170916	36524	79.6	48.6	53.3	2.2	15.5
0.0001476996	90.8705694	13238	80	33.5	76	12.5	15.6
0.0006932409	31.79196604	16509	65.5	49.6	84.9	0.3	12.4
0.0004342162	152.9011648	23100	76.8	54.5	91.4	0.2	5.8
0.0021710812	44.52561285	23100	76.8	54.5	91.4	0.2	5.8
0.0004342162	152.9011648	23100	76.8	54.5	91.4	0.2	5.8
0.0129870130	71.43992057	17733	82.5	56.5	82.2	0	1.9
0.0004267122	205.1535407	19671	66.3	51.8	90.4	1.2	11.8
0.0002307870	144.7056686	85966	74.1	53.1	90.9	0.9	3.7
0.0001153935	220.5679286	85966	74.1	53.1	90.9	0.9	3.7
0.0000351315	93.32599298	21397	65.6	50	65.2	5.5	27.7
0.0000351315	93.32599298	21397	65.6	50	65.2	5.5	27.7
0.0000175657	172.262833	21397	65.6	50	65.2	5.5	27.7
0.0000299092	101.029147	22890	72.2	50.3	30.2	6.7	24
0.0000146214	580.4138293	23343	72.7	51.9	67.2	7.6	27.5
0.0000225670	52.95016345	21557	73	45.8	72.1	10	17.9
0.0000225670	52.95016345	21557	73	45.8	72.1	10	17.9
0.0000225670	52.95016345	21557	73	45.8	72.1	10	17.9
0.0000225670	52.95016345	21557	73	45.8	72.1	10	17.9
0.0000112835	94.71016345	21557	73	45.8	72.1	10	17.9
0.0000112835	94.71016345	21557	73	45.8	72.1	10	17.9
0.0000225670	52.95016345	21557	73	45.8	72.1	10	17.9
0.0000225670	52.95016345	21557	73	45.8	72.1	10	17.9
0.0000451340	32.07016345	21557	73	45.8	72.1	10	17.9
0.0000225670	52.95016345	21557	73	45.8	72.1	10	17.9
0.0000225670	52.95016345	21557	73	45.8	72.1	10	17.9
0.0000225670	52.95016345	21557	73	45.8	72.1	10	17.9
0.0000225670	52.95016345	21557	73	45.8	72.1	10	17.9
0.0000225670	52.95016345	21557	73	45.8	72.1	10	17.9
0.0000225670	52.95016345	21557	73	45.8	72.1	10	17.9
0.0000225670	52.95016345	21557	73	45.8	72.1	10	17.9
0.0000171292	71.10261536	20415	72.4	51.6	36	23.7	15.9
0.0000171292	71.10261536	20415	72.4	51.6	36	23.7	15.9
0.0000171292	71.10261536	20415	72.4	51.6	36	23.7	15.9
0.0000171292	71.10261536	20415	72.4	51.6	36	23.7	15.9
0.0000218424	184.0012838	18422	68.7	51.8	69.5	1.9	35.6
0.0000311061	91.31364341	39875	82.4	53.8	83.9	1.1	6
0.0000466592	69.81420341	39875	82.4	53.8	83.9	1.1	6
0.0000622123	59.06448341	39875	82.4	53.8	83.9	1.1	6
0.0000622123	59.06448341	39875	82.4	53.8	83.9	1.1	6
0.0000466592	69.81420341	39875	82.4	53.8	83.9	1.1	6
0.0000622123	59.06448341	39875	82.4	53.8	83.9	1.1	6
0.0000311061	91.31364341	39875	82.4	53.8	83.9	1.1	6
0.0000311061	91.31364341	39875	82.4	53.8	83.9	1.1	6
0.0000311061	91.31364341	39875	82.4	53.8	83.9	1.1	6
0.0000903648	71.3488392	13205	66	49.8	43	0.8	75.1
0.0011254924	39.35616838	18297	75.8	51.4	91.5	0.3	4.3
0.0003357958	157.1884908	12434	74.4	51.3	73.3	9.3	12.8
0.0000632611	297.6778452	15245	70.2	50.6	65	2.6	30
0.0001265222	167.0734452	15245	70.2	50.6	65	2.6	30
0.0001265222	167.0734452	15245	70.2	50.6	65	2.6	30
0.0000226739	54.58999138	18218	74.1	50	45.8	1	21.7
0.0013623978	7.988451302	11010	65.4	51.7	45.4	0.5	71.2
0.0003942440	76.59837536	16642	70.8	52.4	83.7	0.6	14.7
0.0007884881	44.83467536	16642	70.8	52.4	83.7	0.6	14.7
0.0003942440	76.59837536	16642	70.8	52.4	83.7	0.6	14.7
0.0011474469	112.0800687	18664	77.5	49.6	81.8	0.5	5.6
0.0011474469	112.0800687	18664	77.5	49.6	81.8	0.5	5.6
0.0003215434	1.237383162	12523	67.3	50.5	69.3	0.9	23.2
0.0003215434	1.237383162	12523	67.3	50.5	69.3	0.9	23.2
0.0006430868	1.132983162	12523	67.3	50.5	69.3	0.9	23.2
0.0001607717	1.446183162	12523	67.3	50.5	69.3	0.9	23.2
0.0001607717	1.446183162	12523	67.3	50.5	69.3	0.9	23.2
0.0006430868	1.132983162	12523	67.3	50.5	69.3	0.9	23.2
0.0001607717	1.446183162	12523	67.3	50.5	69.3	0.9	23.2
0.0004823151	1.167783162	12523	67.3	50.5	69.3	0.9	23.2
0.0004823151	1.167783162	12523	67.3	50.5	69.3	0.9	23.2
0.0001607717	1.446183162	12523	67.3	50.5	69.3	0.9	23.2
0.0008038585	1.112103162	12523	67.3	50.5	69.3	0.9	23.2
0.0006430868	1.132983162	12523	67.3	50.5	69.3	0.9	23.2
0.0006430868	1.132983162	12523	67.3	50.5	69.3	0.9	23.2
0.0001607717	1.446183162	12523	67.3	50.5	69.3	0.9	23.2
0.0006430868	1.132983162	12523	67.3	50.5	69.3	0.9	23.2
0.0006430868	1.132983162	12523	67.3	50.5	69.3	0.9	23.2
0.0001319029	61.98236476	24336	69.2	50.9	79	0.8	23.6
0.0000879353	83.10422476	24336	69.2	50.9	79	0.8	23.6
0.0003265306	46.08902661	17133	66.7	49.2	69.8	0.7	44.4
0.0014357502	101.9331832	31996	77	52	94.4	0.4	4.3
0.0000203455	77.53626752	18042	70.3	51	66.8	1.3	38.8
0.0000813819	24.87168752	18042	70.3	51	66.8	1.3	38.8
0.0000406909	42.42654752	18042	70.3	51	66.8	1.3	38.8
0.0000406909	42.42654752	18042	70.3	51	66.8	1.3	38.8
0.0000406909	42.42654752	18042	70.3	51	66.8	1.3	38.8
0.0000406909	42.42654752	18042	70.3	51	66.8	1.3	38.8
0.0000406909	42.42654752	18042	70.3	51	66.8	1.3	38.8
0.0000610364	30.72330752	18042	70.3	51	66.8	1.3	38.8
0.0000610364	30.72330752	18042	70.3	51	66.8	1.3	38.8
0.0000406909	42.42654752	18042	70.3	51	66.8	1.3	38.8
0.0000813819	24.87168752	18042	70.3	51	66.8	1.3	38.8
0.0000203455	77.53626752	18042	70.3	51	66.8	1.3	38.8
0.0000203455	77.53626752	18042	70.3	51	66.8	1.3	38.8
0.0000406909	42.42654752	18042	70.3	51	66.8	1.3	38.8
0.0000813819	24.87168752	18042	70.3	51	66.8	1.3	38.8
0.0000610364	30.72330752	18042	70.3	51	66.8	1.3	38.8
0.0000203455	77.53626752	18042	70.3	51	66.8	1.3	38.8
0.0007473842	140.2108921	104667	76.6	50.4	90.2	0.4	4.3
0.0003736921	184.2442021	104667	76.6	50.4	90.2	0.4	4.3
0.0003736921	184.2442021	104667	76.6	50.4	90.2	0.4	4.3
0.0001868460	272.3108221	104667	76.6	50.4	90.2	0.4	4.3
0.0003429355	147.5598101	30721	88.9	44.2	92.1	1.1	9.6
0.0003429355	147.5598101	30721	88.9	44.2	92.1	1.1	9.6
0.0003429355	147.5598101	30721	88.9	44.2	92.1	1.1	9.6
0.0003429355	147.5598101	30721	88.9	44.2	92.1	1.1	9.6
0.0003429355	147.5598101	30721	88.9	44.2	92.1	1.1	9.6
0.0003429355	147.5598101	30721	88.9	44.2	92.1	1.1	9.6
0.0003429355	147.5598101	30721	88.9	44.2	92.1	1.1	9.6
0.0000272050	64.53021084	15928	71	51.1	67	2.8	24.6
0.0000544099	35.65839084	15928	71	51.1	67	2.8	24.6
0.0000544099	35.65839084	15928	71	51.1	67	2.8	24.6
0.0000544099	35.65839084	15928	71	51.1	67	2.8	24.6
0.0000544099	35.65839084	15928	71	51.1	67	2.8	24.6

Tables (Output of Computation)





Multiple Linear Regression - Estimated Regression Equation
ln(vis/pop[t]) = -0.0053686095908635 TC[t] +1.8096760337069E-05 income[t] -0.023136774084828 age[t] +0.050304628042633 female[t] +0.067469538907844 white[t] +0.0016789634788651 black[t] +0.033153991768479 hispanic[t] -16.221635348787 + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
ln(vis/pop[t]) = -0.0053686095908635 TC[t] +1.8096760337069E-05 income[t] -0.023136774084828 age[t] +0.050304628042633 female[t] +0.067469538907844 white[t] +0.0016789634788651 black[t] +0.033153991768479 hispanic[t] -16.221635348787 + e[t] \tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=2975&T=0

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW]
ln(vis/pop[t]) = -0.0053686095908635 TC[t] +1.8096760337069E-05 income[t] -0.023136774084828 age[t] +0.050304628042633 female[t] +0.067469538907844 white[t] +0.0016789634788651 black[t] +0.033153991768479 hispanic[t] -16.221635348787 + e[t][/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=2975&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2975&T=0

As an alternative you can also use a QR Code:  
QR Code


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

Multiple Linear Regression - Estimated Regression Equation
ln(vis/pop[t]) = -0.0053686095908635 TC[t] +1.8096760337069E-05 income[t] -0.023136774084828 age[t] +0.050304628042633 female[t] +0.067469538907844 white[t] +0.0016789634788651 black[t] +0.033153991768479 hispanic[t] -16.221635348787 + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.E.T-STATH0: parameter = 02-tail p-value1-tail p-value
TC[t]-0.0053690.000591-9.08691200
income[t]1.8E-053E-065.20078500
age[t]-0.0231370.007193-3.216370.0013360.000668
female[t]0.0503050.0201082.5017010.0125030.006252
white[t]0.067470.00312521.5901100
black[t]0.0016790.0042040.3993740.6896950.344847
hispanic[t]0.0331540.0052776.28227100
Constant-16.2216351.264722-12.82624200
VariableElasticityS.E.*T-STATH0: |elast| = 12-tail p-value1-tail p-value
%TC[t]-0.0465280.00512-186.21264400
%income[t]0.0457490.008797-108.47958300
%age[t]-0.17280.053725-15.39688100
%female[t]0.2555510.102151-7.28775200
%white[t]0.4756550.022031-23.80020600
%black[t]0.0010720.002685-371.98836600
%hispanic[t]0.0522430.008316-113.967800
%Constant-1.6109420.1255974.8642911E-061E-06
VariableStand. Coeff.S.E.*T-STATH0: coeff = 02-tail p-value1-tail p-value
S-TC[t]-0.221810.02441-9.08691200
S-income[t]0.1403250.0269815.20078500
S-age[t]-0.0796040.02475-3.216370.0013360.000668
S-female[t]0.057840.023122.5017010.0125030.006252
S-white[t]0.684250.03169321.5901100
S-black[t]0.0105070.0263090.3993740.6896950.344847
S-hispanic[t]0.2061520.0328156.28227100
S-Constant00010.5
*Notecomputed against deterministic endogenous series
VariablePartial Correlation
TC[t]-0.263353
income[t]0.15437
age[t]-0.096179
female[t]0.074945
white[t]0.544169
black[t]0.011997
hispanic[t]0.185458
Constant-0.359558
Critical Values (alpha = 5%)
1-tail CV at 5%1.65
2-tail CV at 5%1.96

\begin{tabular}{lllllllll}
\hline

Multiple Linear Regression - Ordinary Least Squares \tabularnewline
VariableParameterS.E.T-STATH0: parameter = 02-tail p-value1-tail p-value \tabularnewline TC[t]-0.0053690.000591-9.08691200 \tabularnewline income[t]1.8E-053E-065.20078500 \tabularnewline age[t]-0.0231370.007193-3.216370.0013360.000668 \tabularnewline female[t]0.0503050.0201082.5017010.0125030.006252 \tabularnewline white[t]0.067470.00312521.5901100 \tabularnewline black[t]0.0016790.0042040.3993740.6896950.344847 \tabularnewline hispanic[t]0.0331540.0052776.28227100 \tabularnewline Constant-16.2216351.264722-12.82624200 \tabularnewline \tabularnewline VariableElasticityS.E.*T-STATH0: |elast| = 12-tail p-value1-tail p-value \tabularnewline %TC[t]-0.0465280.00512-186.21264400 \tabularnewline %income[t]0.0457490.008797-108.47958300 \tabularnewline %age[t]-0.17280.053725-15.39688100 \tabularnewline %female[t]0.2555510.102151-7.28775200 \tabularnewline %white[t]0.4756550.022031-23.80020600 \tabularnewline %black[t]0.0010720.002685-371.98836600 \tabularnewline %hispanic[t]0.0522430.008316-113.967800 \tabularnewline %Constant-1.6109420.1255974.8642911E-061E-06 \tabularnewline VariableStand. Coeff.S.E.*T-STATH0: coeff = 02-tail p-value1-tail p-value \tabularnewline S-TC[t]-0.221810.02441-9.08691200 \tabularnewline S-income[t]0.1403250.0269815.20078500 \tabularnewline S-age[t]-0.0796040.02475-3.216370.0013360.000668 \tabularnewline S-female[t]0.057840.023122.5017010.0125030.006252 \tabularnewline S-white[t]0.684250.03169321.5901100 \tabularnewline S-black[t]0.0105070.0263090.3993740.6896950.344847 \tabularnewline S-hispanic[t]0.2061520.0328156.28227100 \tabularnewline S-Constant00010.5 \tabularnewline *Notecomputed against deterministic endogenous series \tabularnewline VariablePartial Correlation \tabularnewline TC[t]-0.263353 \tabularnewline income[t]0.15437 \tabularnewline age[t]-0.096179 \tabularnewline female[t]0.074945 \tabularnewline white[t]0.544169 \tabularnewline black[t]0.011997 \tabularnewline hispanic[t]0.185458 \tabularnewline Constant-0.359558 \tabularnewline Critical Values (alpha = 5%) \tabularnewline 1-tail CV at 5%1.65 \tabularnewline 2-tail CV at 5%1.96 \tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=2975&T=1

[TABLE]

[ROW][C]Multiple Linear Regression - Ordinary Least Squares[/C][/ROW]

[ROW]
Variable[/C]Parameter[/C]S.E.[/C]T-STATH0: parameter = 0[/C]2-tail p-value[/C]1-tail p-value[/C][/ROW] [ROW][C]TC[t][/C]-0.005369[/C]0.000591[/C]-9.086912[/C]0[/C]0[/C][/ROW] [ROW][C]income[t][/C]1.8E-05[/C]3E-06[/C]5.200785[/C]0[/C]0[/C][/ROW] [ROW][C]age[t][/C]-0.023137[/C]0.007193[/C]-3.21637[/C]0.001336[/C]0.000668[/C][/ROW] [ROW][C]female[t][/C]0.050305[/C]0.020108[/C]2.501701[/C]0.012503[/C]0.006252[/C][/ROW] [ROW][C]white[t][/C]0.06747[/C]0.003125[/C]21.59011[/C]0[/C]0[/C][/ROW] [ROW][C]black[t][/C]0.001679[/C]0.004204[/C]0.399374[/C]0.689695[/C]0.344847[/C][/ROW] [ROW][C]hispanic[t][/C]0.033154[/C]0.005277[/C]6.282271[/C]0[/C]0[/C][/ROW] [ROW][C]Constant[/C]-16.221635[/C]1.264722[/C]-12.826242[/C]0[/C]0[/C][/ROW] [ROW][C][/C][/ROW] [ROW]Variable[/C]Elasticity[/C]S.E.*[/C]T-STATH0: |elast| = 1[/C]2-tail p-value[/C]1-tail p-value[/C][/ROW] [ROW][C]%TC[t][/C]-0.046528[/C]0.00512[/C]-186.212644[/C]0[/C]0[/C][/ROW] [ROW][C]%income[t][/C]0.045749[/C]0.008797[/C]-108.479583[/C]0[/C]0[/C][/ROW] [ROW][C]%age[t][/C]-0.1728[/C]0.053725[/C]-15.396881[/C]0[/C]0[/C][/ROW] [ROW][C]%female[t][/C]0.255551[/C]0.102151[/C]-7.287752[/C]0[/C]0[/C][/ROW] [ROW][C]%white[t][/C]0.475655[/C]0.022031[/C]-23.800206[/C]0[/C]0[/C][/ROW] [ROW][C]%black[t][/C]0.001072[/C]0.002685[/C]-371.988366[/C]0[/C]0[/C][/ROW] [ROW][C]%hispanic[t][/C]0.052243[/C]0.008316[/C]-113.9678[/C]0[/C]0[/C][/ROW] [ROW][C]%Constant[/C]-1.610942[/C]0.125597[/C]4.864291[/C]1E-06[/C]1E-06[/C][/ROW] [ROW]Variable[/C]Stand. Coeff.[/C]S.E.*[/C]T-STATH0: coeff = 0[/C]2-tail p-value[/C]1-tail p-value[/C][/ROW] [ROW][C]S-TC[t][/C]-0.22181[/C]0.02441[/C]-9.086912[/C]0[/C]0[/C][/ROW] [ROW][C]S-income[t][/C]0.140325[/C]0.026981[/C]5.200785[/C]0[/C]0[/C][/ROW] [ROW][C]S-age[t][/C]-0.079604[/C]0.02475[/C]-3.21637[/C]0.001336[/C]0.000668[/C][/ROW] [ROW][C]S-female[t][/C]0.05784[/C]0.02312[/C]2.501701[/C]0.012503[/C]0.006252[/C][/ROW] [ROW][C]S-white[t][/C]0.68425[/C]0.031693[/C]21.59011[/C]0[/C]0[/C][/ROW] [ROW][C]S-black[t][/C]0.010507[/C]0.026309[/C]0.399374[/C]0.689695[/C]0.344847[/C][/ROW] [ROW][C]S-hispanic[t][/C]0.206152[/C]0.032815[/C]6.282271[/C]0[/C]0[/C][/ROW] [ROW][C]S-Constant[/C]0[/C]0[/C]0[/C]1[/C]0.5[/C][/ROW] [ROW][C]*Note[/C]computed against deterministic endogenous series[/C][/ROW] [ROW]Variable[/C]Partial Correlation[/C][/ROW] [ROW][C]TC[t][/C]-0.263353[/C][/ROW] [ROW][C]income[t][/C]0.15437[/C][/ROW] [ROW][C]age[t][/C]-0.096179[/C][/ROW] [ROW][C]female[t][/C]0.074945[/C][/ROW] [ROW][C]white[t][/C]0.544169[/C][/ROW] [ROW][C]black[t][/C]0.011997[/C][/ROW] [ROW][C]hispanic[t][/C]0.185458[/C][/ROW] [ROW][C]Constant[/C]-0.359558[/C][/ROW] [ROW][C]Critical Values (alpha = 5%)[/C][/ROW] [ROW][C]1-tail CV at 5%[/C]1.65[/C][/ROW] [ROW][C]2-tail CV at 5%[/C]1.96[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=2975&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2975&T=1

As an alternative you can also use a QR Code:  
QR Code


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

Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.E.T-STATH0: parameter = 02-tail p-value1-tail p-value
TC[t]-0.0053690.000591-9.08691200
income[t]1.8E-053E-065.20078500
age[t]-0.0231370.007193-3.216370.0013360.000668
female[t]0.0503050.0201082.5017010.0125030.006252
white[t]0.067470.00312521.5901100
black[t]0.0016790.0042040.3993740.6896950.344847
hispanic[t]0.0331540.0052776.28227100
Constant-16.2216351.264722-12.82624200
VariableElasticityS.E.*T-STATH0: |elast| = 12-tail p-value1-tail p-value
%TC[t]-0.0465280.00512-186.21264400
%income[t]0.0457490.008797-108.47958300
%age[t]-0.17280.053725-15.39688100
%female[t]0.2555510.102151-7.28775200
%white[t]0.4756550.022031-23.80020600
%black[t]0.0010720.002685-371.98836600
%hispanic[t]0.0522430.008316-113.967800
%Constant-1.6109420.1255974.8642911E-061E-06
VariableStand. Coeff.S.E.*T-STATH0: coeff = 02-tail p-value1-tail p-value
S-TC[t]-0.221810.02441-9.08691200
S-income[t]0.1403250.0269815.20078500
S-age[t]-0.0796040.02475-3.216370.0013360.000668
S-female[t]0.057840.023122.5017010.0125030.006252
S-white[t]0.684250.03169321.5901100
S-black[t]0.0105070.0263090.3993740.6896950.344847
S-hispanic[t]0.2061520.0328156.28227100
S-Constant00010.5
*Notecomputed against deterministic endogenous series
VariablePartial Correlation
TC[t]-0.263353
income[t]0.15437
age[t]-0.096179
female[t]0.074945
white[t]0.544169
black[t]0.011997
hispanic[t]0.185458
Constant-0.359558
Critical Values (alpha = 5%)
1-tail CV at 5%1.65
2-tail CV at 5%1.96






Multiple Linear Regression - Regression Statistics
Multiple R0.668135
R-squared0.446404
Adjusted R-squared0.442906
F-TEST127.636967
Observations1116
Degrees of Freedom1108
Multiple Linear Regression - Residual Statistics
Standard Error1.285612
Sum Squared Errors1831.299179
Log Likelihood-1859.898733
Durbin-Watson0.747029
Von Neumann Ratio0.747699
# e[t] > 0485
# e[t] < 0631
# Runs187
Stand. Normal Runs Statistic-22.087406

\begin{tabular}{lllllllll}
\hline

Multiple Linear Regression - Regression Statistics \tabularnewline

Multiple R
0.668135 \tabularnewline R-squared0.446404 \tabularnewline Adjusted R-squared0.442906 \tabularnewline F-TEST127.636967 \tabularnewline Observations1116 \tabularnewline Degrees of Freedom1108 \tabularnewline Multiple Linear Regression - Residual Statistics \tabularnewline Standard Error1.285612 \tabularnewline Sum Squared Errors1831.299179 \tabularnewline Log Likelihood-1859.898733 \tabularnewline Durbin-Watson0.747029 \tabularnewline Von Neumann Ratio0.747699 \tabularnewline # e[t] > 0485 \tabularnewline # e[t] < 0631 \tabularnewline # Runs187 \tabularnewline Stand. Normal Runs Statistic-22.087406 \tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=2975&T=2

[TABLE]

[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]

[ROW][C]Multiple R[/C]
0.668135[/C][/ROW] [ROW][C]R-squared[/C]0.446404[/C][/ROW] [ROW][C]Adjusted R-squared[/C]0.442906[/C][/ROW] [ROW][C]F-TEST[/C]127.636967[/C][/ROW] [ROW][C]Observations[/C]1116[/C][/ROW] [ROW][C]Degrees of Freedom[/C]1108[/C][/ROW] [ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW] [ROW][C]Standard Error[/C]1.285612[/C][/ROW] [ROW][C]Sum Squared Errors[/C]1831.299179[/C][/ROW] [ROW][C]Log Likelihood[/C]-1859.898733[/C][/ROW] [ROW][C]Durbin-Watson[/C]0.747029[/C][/ROW] [ROW][C]Von Neumann Ratio[/C]0.747699[/C][/ROW] [ROW][C]# e[t] > 0[/C]485[/C][/ROW] [ROW][C]# e[t] < 0[/C]631[/C][/ROW] [ROW][C]# Runs[/C]187[/C][/ROW] [ROW][C]Stand. Normal Runs Statistic[/C]-22.087406[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=2975&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2975&T=2

As an alternative you can also use a QR Code:  
QR Code


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

Multiple Linear Regression - Regression Statistics
Multiple R0.668135
R-squared0.446404
Adjusted R-squared0.442906
F-TEST127.636967
Observations1116
Degrees of Freedom1108
Multiple Linear Regression - Residual Statistics
Standard Error1.285612
Sum Squared Errors1831.299179
Log Likelihood-1859.898733
Durbin-Watson0.747029
Von Neumann Ratio0.747699
# e[t] > 0485
# e[t] < 0631
# Runs187
Stand. Normal Runs Statistic-22.087406






Multiple Linear Regression - Ad Hoc Selection Test Statistics
Akaike (1969) Final Prediction Error1.664645
Akaike (1973) Log Information Criterion0.509612
Akaike (1974) Information Criterion1.664645
Schwarz (1978) Log Criterion0.545579
Schwarz (1978) Criterion1.725608
Craven-Wahba (1979) Generalized Cross Validation1.664731
Hannan-Quinn (1979) Criterion1.687434
Rice (1984) Criterion1.664817
Shibata (1981) Criterion1.664475

\begin{tabular}{lllllllll}
\hline

Multiple Linear Regression - Ad Hoc Selection Test Statistics \tabularnewline

Akaike (1969) Final Prediction Error
1.664645 \tabularnewline Akaike (1973) Log Information Criterion0.509612 \tabularnewline Akaike (1974) Information Criterion1.664645 \tabularnewline Schwarz (1978) Log Criterion0.545579 \tabularnewline Schwarz (1978) Criterion1.725608 \tabularnewline Craven-Wahba (1979) Generalized Cross Validation1.664731 \tabularnewline Hannan-Quinn (1979) Criterion1.687434 \tabularnewline Rice (1984) Criterion1.664817 \tabularnewline Shibata (1981) Criterion1.664475 \tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=2975&T=3

[TABLE]

[ROW][C]Multiple Linear Regression - Ad Hoc Selection Test Statistics[/C][/ROW]

[ROW][C]Akaike (1969) Final Prediction Error[/C]
1.664645[/C][/ROW] [ROW][C]Akaike (1973) Log Information Criterion[/C]0.509612[/C][/ROW] [ROW][C]Akaike (1974) Information Criterion[/C]1.664645[/C][/ROW] [ROW][C]Schwarz (1978) Log Criterion[/C]0.545579[/C][/ROW] [ROW][C]Schwarz (1978) Criterion[/C]1.725608[/C][/ROW] [ROW][C]Craven-Wahba (1979) Generalized Cross Validation[/C]1.664731[/C][/ROW] [ROW][C]Hannan-Quinn (1979) Criterion[/C]1.687434[/C][/ROW] [ROW][C]Rice (1984) Criterion[/C]1.664817[/C][/ROW] [ROW][C]Shibata (1981) Criterion[/C]1.664475[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=2975&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2975&T=3

As an alternative you can also use a QR Code:  
QR Code


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

Multiple Linear Regression - Ad Hoc Selection Test Statistics
Akaike (1969) Final Prediction Error1.664645
Akaike (1973) Log Information Criterion0.509612
Akaike (1974) Information Criterion1.664645
Schwarz (1978) Log Criterion0.545579
Schwarz (1978) Criterion1.725608
Craven-Wahba (1979) Generalized Cross Validation1.664731
Hannan-Quinn (1979) Criterion1.687434
Rice (1984) Criterion1.664817
Shibata (1981) Criterion1.664475






Multiple Linear Regression - Analysis of Variance
ANOVADFSum of SquaresMean Square
Regression71476.70606210.958009
Residual11081831.2991791.652797
Total11153308.0052392.9668208423936
F-TEST127.636967
p-value0

\begin{tabular}{lllllllll}
\hline

Multiple Linear Regression - Analysis of Variance \tabularnewline

ANOVA & DF & Sum of Squares & Mean Square \tabularnewline

Regression
71476.70606210.958009 \tabularnewline Residual11081831.2991791.652797 \tabularnewline Total11153308.0052392.9668208423936 \tabularnewline F-TEST127.636967 \tabularnewline p-value0 \tabularnewline
\hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=2975&T=4

[TABLE]

[ROW][C]Multiple Linear Regression - Analysis of Variance[/C][/ROW]

[ROW][C]ANOVA[/C][C]DF[/C][C]Sum of Squares[/C][C]Mean Square[/C][/ROW]

[ROW][C]Regression[/C]
7[/C]1476.70606[/C]210.958009[/C][/ROW] [ROW][C]Residual[/C]1108[/C]1831.299179[/C]1.652797[/C][/ROW] [ROW][C]Total[/C]1115[/C]3308.005239[/C]2.9668208423936[/C][/ROW] [ROW][C]F-TEST[/C]127.636967[/C][/ROW] [ROW][C]p-value[/C]0[/C][/ROW]
[/TABLE] Source: https://freestatistics.org/blog/index.php?pk=2975&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2975&T=4

As an alternative you can also use a QR Code:  
QR Code


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

Multiple Linear Regression - Analysis of Variance
ANOVADFSum of SquaresMean Square
Regression71476.70606210.958009
Residual11081831.2991791.652797
Total11153308.0052392.9668208423936
F-TEST127.636967
p-value0


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
Parameters (R input):
R code (references can be found in the software module):