Atenção: Para responder as questões 11 a 20 observe a tabela ao final da prova.Tabela da Distribuição Normal Padrão P(Z<z)z0,00,010,020,030,040,050,060,070,080,090,00,50000,50400,50800,51200,51600,51990,52390,52790,53190,53590,10,53980,54380,54780,55170,55570,55960,56360,56750,57140,57530,20,57930,58320,58710,59100,59480,59870,60260,60640,61030,61410,30,61790,62170,62550,62930,63310,63680,64060,64430,64800,65170,40,65540,65910,66280,66640,67000,67360,67720,68080,68440,68790,50,69150,69500,69850,70190,70540,70880,71230,71570,71900,72240,60,72570,72910,73240,73570,73890,74220,74540,74860,75170,75490,70,75800,76110,76420,76730,77040,77340,77640,77940,78230,78520,80,78810,79100,79390,79670,79950,80230,80510,80780,81060,81330,90,81590,81860,82120,82380,82640,82890,83150,83400,83650,83891,00,84130,84380,84610,84850,85080,85310,85540,85770,85990,86211,10,86430,86650,86860,87080,87290,87490,87700,87900,88100,88301,20,88490,88690,88880,89070,89250,89440,89620,89800,89970,90151,30,90320,90490,90660,90820,90990,91150,91310,91470,91620,91771,40,91920,92070,92220,92360,92510,92650,92790,92920,93060,93191,50,93320,93450,93570,93700,93820,93940,94060,94180,94290,94411,60,94520,94630,94740,94840,94950,95050,95150,95250,95350,95451,70,95540,95640,95730,95820,95910,95990,96080,96160,96250,96331,80,96410,96490,96560,96640,96710,96780,96860,96930,96990,97061,90,97130,97190,97260,97320,97380,97440,97500,97560,97610,97672,00,97720,97780,97830,97880,97930,97980,98030,98080,98120,98172,10,98210,98260,98300,98340,98380,98420,98460,98500,98540,98572,20,98610,98640,98680,98710,98750,98780,98810,98840,98870,98902,30,98930,98960,98980,99010,99040,99060,99090,99110,99130,99162,40,99180,99200,99220,99250,99270,99290,99310,99320,99340,99362,50,99380,99400,99410,99430,99450,99460,99480,99490,99510,99522,60,99530,99550,99560,99570,99590,99600,99610,99620,99630,99642,70,99650,99660,99670,99680,99690,99700,99710,99720,99730,99742,80,99740,99750,99760,99770,99770,99780,99790,99790,99800,99812,90,99810,99820,99820,99830,99840,99840,99850,99850,99860,99863,00,99870,99870,99870,99880,99880,99890,99890,99890,99900,99903,10,99900,99910,99910,99910,99920,99920,99920,99920,99930,99933,20,99930,99930,99940,99940,99940,99940,99940,99950,99950,99953,30,99950,99950,99950,99960,99960,99960,99960,99960,99960,99973,40,99970,99970,99970,99970,99970,99970,99970,99970,99970,99983,50,99980,99980,99980,99980,99980,99980,99980,99980,99980,99983,60,99980,99980,99990,99990,99990,99990,99990,99990,99990,99993,70,99990,99990,99990,99990,99990,99990,99990,99990,99990,99993,80,99990,99990,99990,99990,99990,99990,99990,99990,99990,99993,91,00001,00001,00001,00001,00001,00001,00001,00001,00001,0000P(Z<z)z0,00,010,020,030,040,050,060,070,080,090,00,50000,49600,49200,48800,48400,48010,47610,47210,46810,4641-0,10,46020,45620,45220,44830,44430,44040,43640,43250,42860,4247-0,20,42070,41680,41290,40900,40520,40130,39740,39360,38970,3859-0,30,38210,37830,37450,37070,36690,36320,35940,35570,35200,3483-0,40,34460,34090,33720,33360,33000,32640,32280,31920,31560,3121-0,50,30850,30500,30150,29810,29460,29120,28770,28430,28100,2776-0,60,27430,27090,26760,26430,26110,25780,25460,25140,24830,2451-0,70,24200,23890,23580,23270,22960,22660,22360,22060,21770,2148-0,80,21190,20900,20610,20330,20050,19770,19490,19220,18940,1867-0,90,18410,18140,17880,17620,17360,17110,16850,16600,16350,1611-1,00,15870,15620,15390,15150,14920,14690,14460,14230,14010,1379-1,10,13570,13350,13140,12920,12710,12510,12300,12100,11900,1170-1,20,11510,11310,11120,10930,10750,10560,10380,10200,10030,0985-1,30,09680,09510,09340,09180,09010,08850,08690,08530,08380,0823-1,40,08080,07930,07780,07640,07490,07350,07210,07080,06940,0681-1,50,06680,06550,06430,06300,06180,06060,05940,05820,05710,0559-1,60,05480,05370,05260,05160,05050,04950,04850,04750,04650,0455-1,70,04460,04360,04270,04180,04090,04010,03920,03840,03750,0367-1,80,03590,03510,03440,03360,03290,03220,03140,03070,03010,0294-1,90,02870,02810,02740,02680,02620,02560,02500,02440,02390,0233-2,00,02280,02220,02170,02120,02070,02020,01970,01920,01880,0183-2,10,01790,01740,01700,01660,01620,01580,01540,01500,01460,0143-2,20,01390,01360,01320,01290,01250,01220,01190,01160,01130,0110-2,30,01070,01040,01020,00990,00960,00940,00910,00890,00870,0084-2,40,00820,00800,00780,00750,00730,00710,00690,00680,00660,0064-2,50,00620,00600,00590,00570,00550,00540,00520,00510,00490,0048-2,60,00470,00450,00440,00430,00410,00400,00390,00380,00370,0036-2,70,00350,00340,00330,00320,00310,00300,00290,00280,00270,0026-2,80,00260,00250,00240,00230,00230,00220,00210,00210,00200,0019-2,90,00190,00180,00180,00170,00160,00160,00150,00150,00140,0014-3,00,00130,00130,00130,00120,00120,00110,00110,00110,00100,0010-3,10,00100,00090,00090,00090,00080,00080,00080,00080,00070,0007-3,20,00070,00070,00060,00060,00060,00060,00060,00050,00050,0005-3,30,00050,00050,00050,00040,00040,00040,00040,00040,00040,0003-3,40,00030,00030,00030,00030,00030,00030,00030,00030,00030,0002-3,50,00020,00020,00020,00020,00020,00020,00020,00020,00020,0002-3,60,00020,00020,00010,00010,00010,00010,00010,00010,00010,0001-3,70,00010,00010,00010,00010,00010,00010,00010,00010,00010,0001-3,80,00010,00010,00010,00010,00010,00010,00010,00010,00010,0001-3,90,00000,00000,00000,00000,00000,00000,00000,00000,00000,0000 O modelo de regressão linear, y = ax + b, foi determinado empregando o método dos mínimos quadrados. Para a construção do modelo dispõe das seguintes informações:∑i=120 xi=30; ∑i=120 yi=40; ∑i=120 (xi)2=600; ∑i=120 (yi)2=1280; e ∑i=120 (xiyi)=781,5Nessas condições, a equação do modelo que descreve o comportamento da função em apreço é O modelo de regressão linear, y = ax + b, foi determinado empregando o método dos mínimos quadrados. Para a construção do modelo dispõe das seguintes informações:∑i=120 xi=30; ∑i=120 yi=40; ∑i=120 (xi)2=600; ∑i=120 (yi)2=1280; e ∑i=120 (xiyi)=781,5Nessas condições, a equação do modelo que descreve o comportamento da função em apreço é

O modelo de regressão linear, y = ax + b, foi determinado...

Q3103823

Estatística Estimador de Mínimos Quadrados

Ano: 2023

Prova: EPL Concursos - TRE RN - Estatística - 2023

O modelo de regressão linear, y = ax + b, foi determinado empregando o método dos mínimos quadrados. Para a construção do modelo dispõe das seguintes informações:

$\sum_{i = 1}^{20}$ $x_{i} = 30;$ $\sum_{i = 1}^{20}$ $y_{i} = 40;$ $\sum_{i = 1}^{20}$ $(x_{i})^{2} = 600;$ $\sum_{i = 1}^{20}$ $(y_{i})^{2} = 1280;$ e $\sum_{i = 1}^{20}$ $(x_{i} y_{i}) = 781, 5$

Nessas condições, a equação do modelo que descreve o comportamento da função em apreço é

y = 1,3x − 17,5

y = 1,3x + 17,5

y = −1,3x − 17,5

y = −1,3x + 17,5

y = 17,5x + 1,3

Comentários Marcadores Anotações (0) Estatísticas Reportar erro

O modelo de regressão linear, y = ax + b, foi determinado empregando o método dos mínim...