Resolucao atividade 11

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Sheet1
	SUMMARY OUTPUT
	Regression Statistics
	Multiple R	0.9131493379
	R Square	0.8338417133
	Adjusted R Square	0.8316697096
	Standard Error	0.6997694395
	Observations	311
	ANOVA
	df	SS	MS	F	Significance F
	Regression	4	751.9569577002	187.989239425	383.9043622228	0
	Residual	306	149.8412441343	0.4896772684
	Total	310	901.7982018345
	Coefficients	Standard Error	t Stat	P-value	Lower 95%	Upper 95%	Lower 95,0%	Upper 95,0%
	Intercept	12.653293109	0.2347312045	53.905458094	0	12.1914015623	13.1151846557	12.1914015623	13.1151846557
	Volume do Motor (l)	-0.6949963747	0.0496978323	-13.9844404239	0	-0.7927891188	-0.5972036306	-0.7927891188	-0.5972036306
	Tipo de Gasolina Usado(0 = 0 / aditivada = 1)	-0.4765879818	0.0888559219	-5.3636040438	0.0000001612	-0.6514339264	-0.3017420372	-0.6514339264	-0.3017420372
	é médio	1.684998512	0.1357611156	12.4114957687	0	1.4178550285	1.9521419956	1.4178550285	1.9521419956
	é grande	0.6993475895	0.1249913371	5.5951684796	0.000000049	0.4533963018	0.9452988772	0.4533963018	0.9452988772
	RESIDUAL OUTPUT
	O modelo pode ser escrito como sendo
	Observation	Predicted Consumo (Km/l)	Residuals	Y = 12,65 - 0,695x1 - 0,477x2 + 1,685x3 + 0,699x4
	1	10.0222163656	0.6063763094	com R^2 ajustado igual a 0,832, que pode ser considerado ótimo
	2	10.0222163656	0.6063763094	e com significância a 1%
	3	10.0917160031	0.5368766719
	4	10.0917160031	0.5368766719
	5	10.0917160031	0.5368766719
	6	10.0917160031	0.5368766719
	7	10.5087138279	0.1198788471
	8	9.7442178157	0.8843748593
	9	10.0917160031	0.5368766719
	10	10.5087138279	-0.3052648599
	11	10.230715278	-0.02726631
	12	10.4392141904	-0.2357652224
	13	10.0917160031	0.1117329649
	14	10.4392141904	-0.2357652224
	15	10.9853018097	-0.7818528417
	16	8.4932243413	1.7102246267
	17	8.006726879	2.196722089
	18	10.2208057976	-0.0173568296
	19	10.2208057976	-0.0173568296
	20	10.2208057976	-0.0173568296
	21	10.2208057976	-0.0173568296
	22	10.2208057976	-0.0173568296
	23	10.0123068851	0.1911420829
	24	10.2208057976	-0.0173568296
	25	9.7442178157	0.4592311523
	26	8.4932243413	1.7102246267
	27	8.9797218036	1.2237271644
	28	9.7442178157	0.4592311523
	29	9.2577203535	0.9457286145
	30	8.9797218036	1.2237271644
	31	8.9797218036	1.2237271644
	32	8.9797218036	1.2237271644
	33	9.7442178157	0.4592311523
	34	9.6747181783	0.5287307897
	35	9.9527167282	0.2507322398
	36	9.9527167282	0.2507322398
	37	10.2208057976	-0.0173568296
	38	10.9853018097	-0.7818528417
	39	10.2208057976	-0.0173568296
	40	10.2208057976	-0.0173568296
	41	9.9527167282	-0.1744114672
	42	9.2577203535	0.5205849075
	43	8.8407225286	0.9375827324
	44	8.8407225286	0.9375827324
	45	9.7442178157	0.0340874453
	46	9.4563097854	0.3219954756
	47	9.4563097854	0.3219954756
	48	8.6918137732	1.0864914878
	49	8.6918137732	1.0864914878
	50	9.4563097854	0.3219954756
	51	9.4563097854	0.3219954756
	52	9.2577203535	0.5205849075
	53	9.2577203535	0.5205849075
	54	8.8407225286	0.9375827324
	55	9.7442178157	0.0340874453
	56	10.0917160031	-0.3134107421
	57	9.1187210785	0.6595841825
	58	10.0917160031	-0.7385544491
	59	9.9428072477	-0.5896456937
	60	9.7442178157	-0.3910562617
	61	9.2577203535	0.0954412005
	62	9.2577203535	0.0954412005
	63	9.4563097854	-0.1031482314
	64	9.4563097854	-0.1031482314
	65	10.2208057976	-0.8676442436
	66	8.6918137732	0.6613477808
	67	8.6918137732	0.6613477808
	68	10.2208057976	-0.8676442436
	69	8.8407225286	0.5124390254
	70	10.0917160031	-0.7385544491
	71	9.2577203535	0.0954412005
	72	8.7017232537	0.6514383003
	73	9.7442178157	-0.3910562617
	74	8.3542250663	0.9989364877
	75	9.2577203535	-0.3297025065
	76	8.3542250663	0.5737927807
	77	8.3542250663	0.5737927807
	78	9.049221441	-0.121203594
	79	8.3542250663	0.5737927807
	80	8.9797218036	-0.0517039566
	81	9.2577203535	-0.7548462135
	82	9.2577203535	-0.7548462135
	83	8.006726879	0.496147261
	84	9.049221441	-0.546347301
	85	8.3542250663	0.1486490737
	86	8.006726879	0.071003554
	87	8.5627239787	-0.4849935457
	88	8.5627239787	-0.4849935457
	89	9.1187210785	-1.0409906455
	90	8.3542250663	-0.2764946333
	91	7.867727604	0.210002829
	92	7.867727604	-0.215140878
	93	7.867727604	-0.215140878
	94	7.9372272415	-0.2846405155
	95	7.9372272415	-0.2846405155
	96	9.4563097854	-1.8037230594
	97	9.4563097854	-1.8037230594
	98	7.9372272415	-0.2846405155
	99	8.3542250663	-1.1267820473
	100	8.3542250663	-1.1267820473
	101	7.867727604	-0.640284585
	102	8.006726879	-0.77928386
	103	8.3542250663	-1.1267820473
	104	8.7017232537	-1.4742802347
	105	8.7017232537	-1.4742802347
	106	8.3542250663	-1.5519257543
	107	8.006726879	-1.204427567
	108	8.3542250663	-1.5519257543
	109	8.006726879	-1.204427567
	110	8.2152257914	-1.4129264794
	111	8.2152257914	-1.8380701864
	112	13.0872981466	2.6430190124
	113	12.9482988716	1.9317308734
	114	13.2262974215	1.6537323235
	115	13.0872981466	1.7927315984
	116	13.2262974215	1.2285886165
	117	12.6703003218	1.7845857162
	118	12.9482988716	1.0814434594
	119	13.2262974215	0.8034449095
	120	12.9482988716	1.0814434594
	121	12.9482988716	1.0814434594
	122	13.0872981466	0.9424441844
	123	12.6008006843	1.4289416467
	124	12.9482988716	1.0814434594
	125	13.2262974215	0.3783012025
	126	13.2262974215	0.3783012025
	127	13.2262974215	0.3783012025
	128	12.9482988716	0.6562997524
	129	12.6703003218	0.9342983022
	130	12.9482988716	0.6562997524
	131	13.0872981466	0.5173004774
	132	12.6008006843	1.0037979397
	133	12.6703003218	0.9342983022
	134	12.4717108898	0.7077440272
	135	12.6703003218	0.5091545952
	136	12.9482988716	0.2311560454
	137	12.9482988716	0.2311560454
	138	12.6703003218	0.5091545952
	139	12.6703003218	0.5091545952
	140	12.6703003218	0.5091545952
	141	12.6703003218	0.5091545952
	142	12.6703003218	0.5091545952
	143	12.8092995967	0.3701553203
	144	12.6703003218	0.5091545952
	145	12.6703003218	0.5091545952
	146	12.6008006843	0.5786542327
	147	13.0872981466	0.0921567704
	148	12.9482988716	0.2311560454
	149	12.6703003218	0.5091545952
	150	12.6703003218	0.5091545952
	151	12.4717108898	0.2826003202
	152	12.6703003218	0.0840108882
	153	12.6703003218	0.0840108882
	154	12.9482988716	-0.1939876616
	155	12.6703003218	0.0840108882
	156	12.6703003218	0.0840108882
	157	12.6703003218	0.0840108882
	158	12.6703003218	0.0840108882
	159	12.9482988716	-0.1939876616
	160	12.6008006843	0.1535105257
	161	12.6703003218	0.0840108882
	162	12.4717108898	-0.1425433868
	163	12.4717108898	-0.1425433868
	164	12.4717108898	-0.1425433868
	165	12.4717108898	-0.1425433868
	166	12.4717108898	-0.1425433868
	167	12.7397999592	-0.4106324562
	168	12.7397999592	-0.4106324562
	169	12.9482988716	-0.6191313686
	170	12.9482988716	-0.6191313686
	171	11.9058043096	0.4233631934
	172	12.6008006843	-0.2716331813
	173	12.6008006843	-0.2716331813
	174	12.6008006843	-0.2716331813
	175	12.6008006843	-0.2716331813
	176	11.9058043096	0.4233631934
	177	11.9058043096	0.4233631934
	178	11.9058043096	0.4233631934
	179	12.1242127025	0.2049548005
	180	12.4717108898	-0.1425433868
	181	11.9058043096	0.4233631934
	182	13.0872981466	-0.7581306436
	183	12.6703003218	-0.3411328188
	184	12.7397999592	-0.4106324562
	185	12.7397999592	-0.4106324562
	186	12.7397999592	-0.4106324562
	187	11.9058043096	0.4233631934
	188	12.1937123399	-0.2896885439
	189	12.1937123399	-0.2896885439
	190	12.4717108898	-0.5676870938
	191	11.7767145151	0.1273092809
	192	11.7767145151	0.1273092809
	193	12.1242127025	-0.2201889065
	194	12.1242127025	-0.2201889065
	195	12.1937123399	-0.2896885439
	196	12.1937123399	-0.2896885439
	197	12.1937123399	-0.2896885439
	198	12.1937123399	-0.2896885439
	199	11.9058043096	-0.0017805136
	200	12.9482988716	-1.0442750756
	201	12.9482988716	-1.0442750756
	202	12.9482988716	-1.0442750756
	203	12.9482988716	-1.0442750756
	204	11.6278057597	0.2762180363
	205	11.9058043096	-0.0017805136
	206	12.0448035845	-0.1407797885
	207	11.9058043096	-0.0017805136
	208	11.9058043096	-0.0017805136
	209	11.7767145151
0.1273092809
	210	12.2632119774	-0.3591881814
	211	12.4717108898	-0.5676870938
	212	11.6973053972	0.2067183988
	213	11.9058043096	-0.0017805136
	214	12.7397999592	-0.8357761632
	215	12.4618014094	-0.5577776134
	216	12.7397999592	-0.8357761632
	217	11.9058043096	-0.0017805136
	218	12.7397999592	-0.8357761632
	219	11.6973053972	0.2067183988
	220	11.9058043096	-0.0017805136
	221	12.4717108898	-0.9928308008
	222	11.7072148777	-0.2283347887
	223	12.1242127025	-0.6453326135
	224	12.1242127025	-0.6453326135
	225	12.1242127025	-0.6453326135
	226	12.1242127025	-0.6453326135
	227	12.6008006843	-1.1219205953
	228	12.6008006843	-1.1219205953
	229	12.6008006843	-1.1219205953
	230	12.6008006843	-1.1219205953
	231	12.0448035845	-0.5659234955
	232	11.4292163278	0.0496637612
	233	11.7072148777	-0.2283347887
	234	11.7767145151	-0.2978344261
	235	11.4292163278	0.0496637612
	236	11.4292163278	0.0496637612
	237	11.4292163278	0.0496637612
	238	12.4618014094	-0.9829213204
	239	12.4618014094	-0.9829213204
	240	12.4618014094	-0.9829213204
	241	12.9482988716	-1.4694187826
	242	12.4618014094	-0.9829213204
	243	12.6703003218	-1.1914202328
	244	12.2533024969	-1.1995661149
	245	12.2533024969	-1.1995661149
	246	11.8363046721	-0.7825682901
	247	10.7910635926	0.2626727894
	248	10.7910635926	0.2626727894
	249	10.7910635926	0.2626727894
	250	11.4860599673	-0.4323235853
	251	10.9300628676	0.1236735144
	252	11.13856178	-0.084825398
	253	11.13856178	-0.084825398
	254	11.13856178	-0.084825398
	255	11.2080614174	-0.1543250354
	256	11.2080614174	-0.1543250354
	257	11.6846493993	-0.6309130173
	258	10.9201533871	0.1335829949
	259	10.8506537496	0.2030826324
	260	11.059152662	-0.00541628
	261	11.4761504868	-0.4224141048
	262	11.4761504868	-0.4224141048
	263	10.7116544747	0.3420819073
	264	11.059152662	-0.00541628
	265	10.6520643177	0.4016720643
	266	10.4435654053	0.6101709767
	267	10.7910635926	0.2626727894
	268	10.7910635926	0.2626727894
	269	10.7910635926	0.2626727894
	270	11.2775610549	-0.2238246729
	271	10.4435654053	0.6101709767
	272	11.2775610549	-0.2238246729
	273	10.3740657678	0.6796706142
	274	10.8506537496	0.2030826324
	275	10.8506537496	0.2030826324
	276	10.8506537496	0.2030826324
	277	10.8506537496	0.2030826324
	278	10.8506537496	0.2030826324
	279	10.8506537496	0.2030826324
	280	10.9201533871	0.1335829949
	281	10.9201533871	0.1335829949
	282	10.7910635926	-0.1624709176
	283	10.4435654053	0.1850272697
	284	11.13856178	-0.509969105
	285	11.13856178	-0.509969105
	286	11.13856178	-0.509969105
	287	11.13856178	-0.509969105
	288	10.9201533871	-0.2915607121
	289	9.957067943	0.671524732
	290	9.957067943	0.671524732
	291	9.957067943	0.671524732
	292	10.7116544747	-0.0830617997
	293	10.7215639551	-0.0929712801
	294	10.7910635926	-0.1624709176
	295	10.7910635926	-0.1624709176
	296	10.7910635926	-0.1624709176
	297	10.7910635926	-0.1624709176
	298	10.4435654053	0.1850272697
	299	10.4435654053	0.1850272697
	300	10.2350664928	0.3935261822
	301	10.4435654053	0.1850272697
	302	9.1925719308	1.4360207442
	303	10.8506537496	-0.2220610746
	304	10.8506537496	-0.2220610746
	305	10.8506537496	-0.2220610746
	306	10.8506537496	-0.2220610746
	307	11.6846493993	-1.0560567243
	308	11.2676515744	-0.6390588994
	309	11.2676515744	-0.6390588994
	310	11.2676515744	-0.6390588994
	311	11.2676515744	-0.6390588994
Data
	Carro	Tipo	Volume do Motor (l)	é médio	é grande	Consumo (Km/l)
	1	Compacto	3.1	0	0	10.62859	Volume do Motor (l)	Tipo de Gasolina Usado(0 = 0 / aditivada = 1)	é médio	é grande	Consumo (Km/l)
	2	Compacto	3.1	0	0	10.62859	Volume do Motor (l)	1
	3	Compacto	3.0	0	0	10.62859	Tipo de Gasolina Usado(0 = 0 / aditivada = 1)	0.3405633063	1
	4	Compacto	3.0	0	0	10.62859	é médio	-0.6192926636	-0.4301552824	1
	5	Compacto	3.0	0	0	10.62859	é grande	-0.0555871956	0.0820351448	-0.4501939715	1
	6	Compacto	3.0	0	0	10.62859	Consumo (Km/l)	-0.8333385881	-0.4981750804	0.7681814071	-0.0390120285	1
	7	Compacto	2.4	0	0	10.62859
	8	Compacto	3.5	0	0	10.62859
	9	Compacto	3.0	0	0	10.62859
	10	Compacto	2.4	0	0	10.20345
	11	Compacto	2.8	0	0	10.20345
	12	Compacto	2.5	0	0	10.20345
	13	Compacto	3.0	0	0	10.20345
	14	Compacto	2.5	0	0	10.20345
	15	Compacto	2.4	0	0	10.20345
	16	Compacto	5.3	0	0	10.20345
	17	Compacto	6.0	0	0	10.20345
	18	Compacto	3.5	0	0	10.20345
	19	Compacto	3.5	0	0	10.20345
	20	Compacto	3.5	0	0	10.20345
	21	Compacto	3.5	0	0	10.20345
	22	Compacto	3.5	0	0	10.20345
	23	Compacto	3.8	0	0	10.20345
	24	Compacto	3.5	0	0	10.20345
	25	Compacto	3.5	0	0	10.20345
	26	Compacto	5.3	0	0	10.20345
	27	Compacto	4.6	0	0	10.20345
	28	Compacto	3.5	0	0	10.20345
	29	Compacto	4.2	0	0	10.20345
	30	Compacto	4.6	0	0	10.20345
	31	Compacto	4.6	0	0	10.20345
	32	Compacto	4.6	0	0	10.20345
	33	Compacto	3.5	0	0	10.20345
	34	Compacto	3.6	0	0	10.20345
	35	Compacto	3.2	0	0	10.20345
	36	Compacto	3.2	0	0	10.20345
	37	Compacto	3.5	0	0	10.20345
	38	Compacto	2.4	0	0	10.20345
	39	Compacto	3.5	0	0	10.20345
	40	Compacto	3.5	0	0	10.20345
	41	Compacto	3.2	0	0	9.77831
	42	Compacto	4.2	0	0	9.77831
	43	Compacto	4.8	0	0	9.77831
	44	Compacto	4.8	0	0	9.77831
	45	Compacto	3.5	0	0	9.77831
	46	Compacto	4.6	0	0	9.77831
	47	Compacto	4.6	0	0	9.77831
	48	Compacto	5.7	0	0	9.77831
	49	Compacto	5.7	0	0	9.77831
	50	Compacto	4.6	0	0	9.77831
	51	Compacto	4.6	0	0	9.77831
	52	Compacto	4.2	0	0	9.77831
	53	Compacto	4.2	0	0	9.77831
	54	Compacto	4.8	0	0	9.77831
	55	Compacto	3.5	0	0	9.77831
	56	Compacto	3.0	0	0	9.77831
	57	Compacto	4.4	0	0	9.77831
	58	Compacto	3.0	0	0	9.35316
	59	Compacto	3.9	0	0	9.35316
	60	Compacto	3.5	0	0	9.35316
	61	Compacto	4.2	0	0	9.35316
	62	Compacto	4.2	0	0	9.35316
	63	Compacto	4.6	0	0	9.35316
	64	Compacto	4.6	0	0	9.35316
	65	Compacto	3.5	0	0	9.35316
	66	Compacto	5.7	0	0	9.35316
	67	Compacto	5.7	0	0	9.35316
	68	Compacto	3.5	0	0	9.35316
	69	Compacto	4.8	0	0	9.35316
	70	Compacto	3.0	0	0	9.35316
	71	Compacto	4.2	0	0	9.35316
	72	Compacto	5.0	0	0	9.35316
	73	Compacto	3.5	0	0	9.35316
	74	Compacto	5.5	0	0	9.35316
	75	Compacto	4.2	0	0	8.92802
	76	Compacto	5.5	0	0	8.92802
	77	Compacto	5.5	0	0	8.92802
	78	Compacto	4.5	0	0	8.92802
	79	Compacto	5.5	0	0	8.92802
	80	Compacto	4.6	0	0	8.92802
	81	Compacto	4.2	0	0	8.50287
	82	Compacto	4.2	0	0	8.50287
	83	Compacto	6.0	0	0	8.50287
	84	Compacto	4.5	0	0	8.50287
	85	Compacto	5.5	0	0	8.50287
	86	Compacto	6.0	0	0	8.07773
	87	Compacto	5.2	0	0	8.07773
	88	Compacto	5.2	0	0	8.07773
	89	Compacto	4.4	0	0	8.07773
	90	Compacto	5.5	0	0	8.07773
	91	Compacto	6.2	0	0	8.07773
	92	Compacto	6.2	0	0	7.65259
	93	Compacto	6.2	0	0	7.65259
	94	Compacto	6.1	0	0	7.65259
	95	Compacto	6.1	0	0	7.65259
	96	Compacto	4.6	0	0	7.65259
	97	Compacto	4.6	0	0	7.65259
	98	Compacto	6.1	0	0	7.65259
	99	Compacto	5.5	0	0	7.22744
	100	Compacto	5.5	0	0	7.22744
	101	Compacto	6.2	0	0	7.22744
	102	Compacto	6.0	0	0	7.22744
	103	Compacto	5.5	0	0	7.22744
	104	Compacto	5.0	0	0	7.22744
	105	Compacto	5.0	0	0	7.22744
	106	Compacto	5.5	0	0	6.80230
	107	Compacto	6.0	0	0	6.80230
	108	Compacto	5.5	0	0	6.80230
	109	Compacto	6.0	0	0	6.80230
	110	Compacto	5.7	0	0	6.80230
	111	Compacto	5.7	0	0	6.37716
	112	Médio	1.8	1	0	15.73032
	113	Médio	2.0	1	0	14.88003
	114	Médio	1.6	1	0	14.88003
	115	Médio	1.8	1	0	14.88003
	116	Médio	1.6	1	0	14.45489
	117	Médio	2.4	1	0	14.45489
	118	Médio	2.0	1	0	14.02974
	119	Médio	1.6	1	0	14.02974
	120	Médio	2.0	1	0	14.02974
	121	Médio	2.0	1	0	14.02974
	122	Médio	1.8	1	0	14.02974
	123	Médio	2.5	1	0	14.02974
	124	Médio	2.0	1	0	14.02974
	125	Médio	1.6	1	0	13.60460
	126	Médio	1.6	1	0	13.60460
	127	Médio	1.6	1	0	13.60460
	128	Médio	2.0	1	0	13.60460
	129	Médio	2.4	1	0	13.60460
	130	Médio	2.0	1	0	13.60460
	131	Médio	1.8	1	0	13.60460
	132	Médio	2.5	1	0	13.60460
	133	Médio	2.4	1	0	13.60460
	134	Médio	2.0	1	0	13.17945
	135	Médio	2.4	1	0	13.17945
	136	Médio	2.0	1	0	13.17945
	137	Médio	2.0	1	0	13.17945
	138	Médio	2.4	1	0	13.17945
	139	Médio	2.4	1	0	13.17945
	140	Médio	2.4	1	0	13.17945
	141	Médio
2.4	1	0	13.17945
	142	Médio	2.4	1	0	13.17945
	143	Médio	2.2	1	0	13.17945
	144	Médio	2.4	1	0	13.17945
	145	Médio	2.4	1	0	13.17945
	146	Médio	2.5	1	0	13.17945
	147	Médio	1.8	1	0	13.17945
	148	Médio	2.0	1	0	13.17945
	149	Médio	2.4	1	0	13.17945
	150	Médio	2.4	1	0	13.17945
	151	Médio	2.0	1	0	12.75431
	152	Médio	2.4	1	0	12.75431
	153	Médio	2.4	1	0	12.75431
	154	Médio	2.0	1	0	12.75431
	155	Médio	2.4	1	0	12.75431
	156	Médio	2.4	1	0	12.75431
	157	Médio	2.4	1	0	12.75431
	158	Médio	2.4	1	0	12.75431
	159	Médio	2.0	1	0	12.75431
	160	Médio	2.5	1	0	12.75431
	161	Médio	2.4	1	0	12.75431
	162	Médio	2.0	1	0	12.32917
	163	Médio	2.0	1	0	12.32917
	164	Médio	2.0	1	0	12.32917
	165	Médio	2.0	1	0	12.32917
	166	Médio	2.0	1	0	12.32917
	167	Médio	2.3	1	0	12.32917
	168	Médio	2.3	1	0	12.32917
	169	Médio	2.0	1	0	12.32917
	170	Médio	2.0	1	0	12.32917
	171	Médio	3.5	1	0	12.32917
	172	Médio	2.5	1	0	12.32917
	173	Médio	2.5	1	0	12.32917
	174	Médio	2.5	1	0	12.32917
	175	Médio	2.5	1	0	12.32917
	176	Médio	3.5	1	0	12.32917
	177	Médio	3.5	1	0	12.32917
	178	Médio	3.5	1	0	12.32917
	179	Médio	2.5	1	0	12.32917
	180	Médio	2.0	1	0	12.32917
	181	Médio	3.5	1	0	12.32917
	182	Médio	1.8	1	0	12.32917
	183	Médio	2.4	1	0	12.32917
	184	Médio	2.3	1	0	12.32917
	185	Médio	2.3	1	0	12.32917
	186	Médio	2.3	1	0	12.32917
	187	Médio	3.5	1	0	12.32917
	188	Médio	2.4	1	0	11.90402
	189	Médio	2.4	1	0	11.90402
	190	Médio	2.0	1	0	11.90402
	191	Médio	3.0	1	0	11.90402
	192	Médio	3.0	1	0	11.90402
	193	Médio	2.5	1	0	11.90402
	194	Médio	2.5	1	0	11.90402
	195	Médio	2.4	1	0	11.90402
	196	Médio	2.4	1	0	11.90402
	197	Médio	2.4	1	0	11.90402
	198	Médio	2.4	1	0	11.90402
	199	Médio	3.5	1	0	11.90402
	200	Médio	2.0	1	0	11.90402
	201	Médio	2.0	1	0	11.90402
	202	Médio	2.0	1	0	11.90402
	203	Médio	2.0	1	0	11.90402
	204	Médio	3.9	1	0	11.90402
	205	Médio	3.5	1	0	11.90402
	206	Médio	3.3	1	0	11.90402
	207	Médio	3.5	1	0	11.90402
	208	Médio	3.5	1	0	11.90402
	209	Médio	3.0	1	0	11.90402
	210	Médio	2.3	1	0	11.90402
	211	Médio	2.0	1	0	11.90402
	212	Médio	3.8	1	0	11.90402
	213	Médio	3.5	1	0	11.90402
	214	Médio	2.3	1	0	11.90402
	215	Médio	2.7	1	0	11.90402
	216	Médio	2.3	1	0	11.90402
	217	Médio	3.5	1	0	11.90402
	218	Médio	2.3	1	0	11.90402
	219	Médio	3.8	1	0	11.90402
	220	Médio	3.5	1	0	11.90402
	221	Médio	2.0	1	0	11.47888
	222	Médio	3.1	1	0	11.47888
	223	Médio	2.5	1	0	11.47888
	224	Médio	2.5	1	0	11.47888
	225	Médio	2.5	1	0	11.47888
	226	Médio	2.5	1	0	11.47888
	227	Médio	2.5	1	0	11.47888
	228	Médio	2.5	1	0	11.47888
	229	Médio	2.5	1	0	11.47888
	230	Médio	2.5	1	0	11.47888
	231	Médio	3.3	1	0	11.47888
	232	Médio	3.5	1	0	11.47888
	233	Médio	3.1	1	0	11.47888
	234	Médio	3.0	1	0	11.47888
	235	Médio	3.5	1	0	11.47888
	236	Médio	3.5	1	0	11.47888
	237	Médio	3.5	1	0	11.47888
	238	Médio	2.7	1	0	11.47888
	239	Médio	2.7	1	0	11.47888
	240	Médio	2.7	1	0	11.47888
	241	Médio	2.0	1	0	11.47888
	242	Médio	2.7	1	0	11.47888
	243	Médio	2.4	1	0	11.47888
	244	Médio	3.0	1	0	11.05374
	245	Médio	3.0	1	0	11.05374
	246	Médio	3.6	1	0	11.05374
	247	Grande	3.0	0	1	11.05374
	248	Grande	3.0	0	1	11.05374
	249	Grande	3.0	0	1	11.05374
	250	Grande	2.0	0	1	11.05374
	251	Grande	2.8	0	1	11.05374
	252	Grande	2.5	0	1	11.05374
	253	Grande	2.5	0	1	11.05374
	254	Grande	2.5	0	1	11.05374
	255	Grande	2.4	0	1	11.05374
	256	Grande	2.4	0	1	11.05374
	257	Grande	2.4	0	1	11.05374
	258	Grande	3.5	0	1	11.05374
	259	Grande	3.6	0	1	11.05374
	260	Grande	3.3	0	1	11.05374
	261	Grande	2.7	0	1	11.05374
	262	Grande	2.7	0	1	11.05374
	263	Grande	3.8	0	1	11.05374
	264	Grande	3.3	0	1	11.05374
	265	Grande	3.2	0	1	11.05374
	266	Grande	3.5	0	1	11.05374
	267	Grande	3.0	0	1	11.05374
	268	Grande	3.0	0	1	11.05374
	269	Grande	3.0	0	1	11.05374
	270	Grande	2.3	0	1	11.05374
	271	Grande	3.5	0	1	11.05374
	272	Grande	2.3	0	1	11.05374
	273	Grande	3.6	0	1	11.05374
	274	Grande	3.6	0	1	11.05374
	275	Grande	3.6	0	1	11.05374
	276	Grande	3.6	0	1	11.05374
	277	Grande	3.6	0	1	11.05374
	278	Grande	3.6	0	1	11.05374
	279	Grande	3.6	0	1	11.05374
	280	Grande	3.5	0	1	11.05374
	281	Grande	3.5	0	1	11.05374
	282	Grande	3.0	0	1	10.62859
	283	Grande	3.5	0	1	10.62859
	284	Grande	2.5	0	1	10.62859
	285	Grande	2.5	0	1	10.62859
	286	Grande	2.5	0	1	10.62859
	287	Grande	2.5	0	1	10.62859
	288	Grande	3.5	0	1	10.62859
	289	Grande	4.2	0	1	10.62859
	290	Grande	4.2	0	1	10.62859
	291	Grande	4.2	0	1	10.62859
	292	Grande	3.8	0	1	10.62859
	293	Grande	3.1	0	1	10.62859
	294	Grande	3.0	0	1	10.62859
	295	Grande	3.0	0	1	10.62859
	296	Grande	3.0	0	1	10.62859
	297	Grande	3.0	0	1	10.62859
	298	Grande	3.5	0	1	10.62859
	299	Grande	3.5	0	1	10.62859
	300	Grande	3.8	0	1	10.62859
	301	Grande	3.5	0	1	10.62859
	302	Grande	5.3	0	1	10.62859
	303	Grande	3.6	0	1	10.62859
	304	Grande	3.6	0	1	10.62859
	305	Grande	3.6	0	1	10.62859
	306	Grande	3.6	0	1	10.62859
	307	Grande	2.4	0	1	10.62859
	308	Grande	3.0	0	1	10.62859
	309	Grande	3.0	0	1	10.62859
	310	Grande	3.0	0	1	10.62859
	311	Grande	3.0	0	1	10.62859