Examen Marreros Sanchez Angela

7/23/2019 Examen Marreros Sanchez Angela

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Nº Automóvil

1 Apollo

2 Omega

3 Nova4 Monarch

5 Duster

6 JensonConv

! "#$ha%#

& Mon'a

( "cirocco

1) Corolla "+,5

11 Camaro

12 Datsun -21)13 Capri ..

14 /acer

15 -a0cat

16 ranaa

1! lorao

1& .mperial

1( Nova N

2) aliant

21 "tarre

22 Coro0a23 7rans AM

24 Corolla ",5

25 Astre

26 Mar# .

2! Celica 7

2& Charger "

2( Cougar

3) lite

31 Mataor32 Corvette

8

n 329 promeio 284.73125

1ra6co 2e 2ispersion 2el ren2imiento 2ela gasolin

Sabemos que:



< promeio 20.535625

50 100 150 200 250 300 350 400 450 500 5500

5

10

15

20

25

30

35

40

f(x) = - 0.0458914657x + 33.6023594022

R² = 0.7043010178



< = Millas > alón

1&( 35)

2! 35)

2) 25)1&25 351

2))! 225

112 44)

2212 231

214! 262

34! &(!

3)4 (6(

165 35)

365 &53215 1!1

1(! 25&

2)3 14)

1!& 3)2

143( 5))

14&( 44)

1!& 35)

1641 31&

2354 231

214! 36)165( 4))

31( (6(

2(4 14)

132! 46)

23( 1336

1(!3 31&

13( 351

132! 351

13!! 36)165 35)

65!14 (1114

91 = Cilinraa :pulg3;

:millas por galon; $ la cilin2ra2a 2el motor:pulg3;





1225)) 35!21 6615 17.5403464 1.848657921225)) !2( 9450 17.5403464 89.4850463

625)) 4)) 5000 22.129493 4.534740311232)1 333)625 6405.75 17.4944549 0.570848355)625 4)2&)4( 4515.75 23.2767796 10.2834355

1(36)) 12544 4928 13.4101145 4.88460602

53361 4&(2(44 5109.72 23.0014308 0.776920296&644 46)(6)( 5625.14 21.5787954 0.01183643

&)46)( 12)4)( 3112.59 29.4858949 27.1868917(3&(61 (2416 2945.76 29.1554764 1.548839061225)) 2!225 5775 17.5403464 1.08232062

!2!6)( 133225 3113.45 29.6878174 46.40583212(241 46225 3676.5 25.7549188 18.1043337

66564 3&&)( 5082.6 21.7623612 4.25333391(6)) 412)( 2842 27.1775542 47.3007518(12)4 316&4 5375.6 19.7431368 3.77578043

25)))) 2)!)!21 7195 10.6566265 13.93807741(36)) 221!121 6551.6 13.4101145 2.190061151225)) 316&4 6230 17.5403464 0.067419991)1124 26(2&&1 5218.38 19.0088733 6.75414243

53361 5541316 5437.74 23.0014308 0.29005676

12(6)) 46)(6)( 7729.2 17.0814317 19.259531416)))) 2!522&1 6636 15.2457731 1.80694593(3&(61 1)1!61 3091.11 29.1554764 7.532409941(6)) &6436 4116 27.1775542 4.93926534

2116)) 1!6)(2( 6104.2 12.4922852 0.604840361!&4&(6 5!121 3193.04 27.4712596 12.753895

1)1124 3&(2!2( 6274.14 19.0088733 0.520023721232)1 1(321 4878.9 17.4944549 12.92010621232)1 1!6)(2( 4657.77 17.4944549 17.8460195

12(6)) 1&(612( 4957.2 17.0814317 10.96558021225)) 2!225 5775 17.5403464 1.08232062

3)1())136 14!64!3! 16!61&14 65!14 3!5524&!

92 < 2 9i <

i

$estimao

$,$estimao

?2





+esumen

Estadísticas de la regresión

oe!"#e$%e &e "o''ea"#$ m*%#+e 0.8392264401oe!"#e$%e &e &e%e'm#$a"#$ R,2 0.7043010178R,2 aus%a&o 0.6944443851

''o' %/+#"o 3.5380073031

bse'a"#o$es 32

SS RGrados de libertad a de cuadra

Re'es#$ 1 894.431717

Res#&uos 30 375.52487 ;o%a 31 1269.95659

Coefcientes Error típico

$%e'"e+"#$ 33.6023594022 1.66753026

a'#abe < 1 -0.0458914657 0.00542897

$=#s#s &e os 'es#&uaes

Observación Pronóstico para Y Residuos

1 17.540346396 1.35965362 17.540346396 9.4596536

3 22.1294929692 -2.12949297

4 17.4944549303 0.75554507

5 23.2767796125 -3.206779616 13.4101144801 -2.210114487 23.0014308181 -0.88143082

8 21.5787953804 -0.108795389 29.485894926 5.21410507

10 29.1554763727 1.2445236311 17.540346396 -1.040346412 29.6878173752 6.8121826213 25.754918762 -4.2549187614 21.7623612433 -2.0623612415 27.1775541997 -6.8775542



16 19.7431367511 -1.9431367517 10.6566265362 3.7333734618 13.4101144801 1.4798855219 17.540346396 0.259653620 19.0088732994 -2.598873321 23.0014308181 0.53856918

22 17.0814317387 4.3885682623 15.2457731094 1.3442268924 29.1554763727 2.7445236325 27.1775541997 2.222445826 12.4922851655 0.7777148327 27.4712595804 -3.5712595828 19.0088732994 0.721126729 17.4944549303 -3.5944549330 17.4944549303 -4.2244549331 17.0814317387 -3.31143174

32 17.540346396 -1.0403464



io de los cua F lor crítico de F

894.431717 71.4545258 1.9638-009

12.5174957

Estadístico t Probabilidad n!erior "#$ Superior "#$ n!erior "#%&$ uperior "#%&

20.1509743 5.4681-019 30.1968083 37.0079105 30.1968082831 37.0079105

-8.45307789 1.9638-009 -0.05697889 -0.03480404 -0.0569788918 -0.03480404

2!5

iduos est'ndares E(Y/Xo): 20.9822063259

0.390651752.71792037

-0.61183977 s@@ 424701.04875

0.21708103

-0.92136266 v:$>@o; 0.3939628141-0.63500371-0.25325016

-0.03125877 t 2.04227245631.498101620.35757294 .ntervalos e conan'a E(Y/275)

-0.29890932 18.1608507 20.9822063259 21.09011861.95725665

-1.22251098 12.911458491-0.59255168-1.97603902 .ntervalos e conan'a <o

:;



-0.55829644 13.6446004 20.9822063259 28.31981231.072662090.425196440.07460292

-0.746700770.15474014

1.260910760.386219390.788548610.638546710.22345078

-1.026083990.20719204

-1.03274841-1.2137582

-0.95143101

-0.29890932







/ure'a :B;

9 <

1 1)2 &6(1 1.0404 7553.3481

2 111 &(&5 1.2321 8073.0225

3 143 ()2& 2.0449 8150.4784

4 111 &634 1.2321 7454.5956

5 1)1 (25& 1.0201 8571.0564

6 )(5 &!33 0.9025 7626.5289

7 111 &62( 1.2321 7445.9641

8 )&! (1&6 0.7569 8438.2596

9 143 (561 2.0449 9141.2721

10 1)2 &(&6 1.0404 8074.8196

11 146 (6!3 2.1316 9356.6929

12 155 ((42 2.4025 9884.336413 155 (&66 2.4025 9733.7956

14 155 (6)! 2.4025 9229.4449

15 14 (365 1.96 8770.3225

16 115 &!31 1.3225 7623.0361

17 1)1 (5 1.0201 9025

18 )(( (6&5 0.9801 9379.9225

19 )(5 &52 0.9025 7259.04

20 )(& ()56 0.9604 8201.1136

> 23.65 1836.36 29.0311 168992.05

n 20

9 promeio 1.1825 < promeio 91.818

irocar0uros:B;

<#2 ?#2

85

90

95

100

105

f(x) = 11.8010281932x + 77.8632841616

R² = 0.3891224058

1ra6co 2e 2ispersion 2el B 2e Ci2rocar0uros con re



0.8 0.9 1 1.1 1.2 1.3 1.4 1.575

80

. . .



<#?#

Resume$

88.6482 Estadísticas de la regresión

99.7335 oe!"#e$%e &e "o''ea"#$ m 0.6237967664

129.1004 oe!"#e$%e &e &e%e'm#$a"# 0.3891224058

95.8374 R,2 aus%a&o 0.3551847617

93.5058 ''o' %/+#"o 3.5965597596

82.9635 bse'a"#o$es 20

95.7819

79.9182 SS R

136.7223 Grados de libertad

91.6572 Re'es#$ 1

141.2258 Res#&uos 18

154.101 ;o%a 19152.923

148.9085 Coefcientes

131.11 $%e'"e+"#$ 77.8632841616

100.4065 a'#abe < 1 11.8010281932

95.95

95.8815

80.94

88.7488 $=#s#s &e os 'es#&uaes

2184.0635Observación Pronóstico para Y

1 89.90033291862 90.962425456

3 94.73875447784 90.962425456

5 89.78232263676 89.07426094517 90.962425456

8 88.13017868969 94.7387544778

10 89.900332918611 95.092785323612 96.15487786113 96.15487786114 96.15487786115 94.384723632

pecto al B 2e pure'a



16 91.434466583717 89.782322636718 89.546302072819 89.074260945120 89.4282917909

1.6



a de cuadra io de los cua F Valor crítico de F

148.312962 148.312962 11.4658049 0.0032911224

232.834358 12.9352421

381.14732

Error típico Estadístico t Probabilidad n!erior "#$ Superior "#$n!erior "#%&$

4.19888831 18.5437855 3.5374-013 69.0417471709 86.6848212 69.0417472

3.4851187 3.38611944 0.00329112 4.4790655036 19.1229909 4.4790655

2!5

Residuos iduos est'ndares E(Y/Xo): @AB-2.99033292 -0.85422605-1.11242546 -0.31777826

-4.45875448 -1.27369905 s@@ @RCB-4.62242546 -1.32045372

2.79767736 0.79919157 v:$>@o; @AB-1.74426095 -0.49826998-4.67242546 -1.33473684

3.72982131 1.06547016 t @AB0.87124552 0.24888219

-0.04033292 -0.0115216 .ntervalos e conan'a E(Y/275)

1.63721468 0.46769087 @AB @AB @AB3.26512214 0.932723032.50512214 0.71561951 @AB

-0.08487786 -0.02424642-0.73472363 -0.20988301 .ntervalos e conan'a <o

:;



-4.12446658 -1.17820553 @AB @AB @AB5.21767736 1.490494887.30369793 2.08639277

-3.87426095 -1.106731161.13170821 0.32328662



uperior "#%&$

86.6848212

19.1229909





7emperatura so>1)))

Mes

nero 21 1&5!( 441Ee0rero 24 2144! 576Mar'o 32 2&&)3 1024

A0ril 4! 424&4 2209Ma$o 5) 4546& 2500 Junio 5( 53()3 3481 Julio 6& 62155 4624

Agosto !4 6!5)6 5476"eptiem0re 62 562)3 3844

Octu0re 5) 452(3 2500Noviem0re 41 36((5 1681Diciem0re 3) 2!3(& 900

> 558 5062.34 29256

n 129 promeio 46.5 < promeio 421.8616666667

<#2<# ?#

10 20 30 40 50 60 700

100

200

300

400

500

600

700

800

f(x) = 9.208467815x - 6.3320867332

R² = 0.9998651069

ra6co 2e 2ispersion 2e la temperatura con respecto al



<#?#

Resume$

34517.9241 3901.59 Estadísticas de la regresión

45997.3809 5147.28 oe!"#e$%e &e "o''ea"#$ m*%# 0.9999325582961.2809 9216.96 oe!"#e$%e &e &e%e'm#$a"#$ R 0.99986511

180489.026 19967.48 R,2 aus%a&o 0.99985162206733.902 22734 ''o' %/+#"o 1.94562839290553.341 31802.77 bse'a"#o$es 12386324.403 42265.4455706.004 49954.44 SS R315877.721 34845.86 Grados de libert

205145.585 22646.5 Re'es#$ 1136863.003 15167.95 Res#&uos 1075065.0404 8219.4 ;o%a 11

2416234.61 265869.63

Coefcientes$%e'"e+"#$ -6.33208673a'#abe < 1 9.20846782


Observación onóstico para

1 187.045737

2 214.6711413 288.3388834 426.4659015 454.0913046 536.9675147 619.8437258 675.0945329 564.592918

10 454.09130411 371.215094

12 269.921948

?#2

80

uso>1))



a de cuadra io de los cua F lor crítico de F

280589.565 280589.565 74122.7843 1.0992-02037.8546985 3.78546985280627.42

Error típico Estadístico t Probabilidad n!erior "#$ Superior "#$n!erior "#%&$1.67004573 -3.79156488 0.00353431 -10.0531805 -2.61099296 -10.05318050.03382295 272.254999 1.0992-020 9.13310558 9.28383005 9.13310558

Residuos iduos est'ndares

-1.25573738 -0.67691676

-0.20114083 -0.10842681-0.30888335 -0.1665064-1.62590057 -0.876456630.58869598 0.317341972.06248565 1.111801821.70627531 0.91978337

-0.03453158 -0.01861457-2.5629178 -1.38156437

-1.16130402 -0.62601159-1.26509368 -0.68196036

4.05805228 2.18753034



uperior "#%&$-2.610992969.28383005



7emperatura FC

24.9 1.133 3.2148678 3.6424452235 0.9772 3.55534806 3.47428613

44.9 0.8532 3.80443779 3.24594633

55.1 0.775 4.00914972 3.1070910365.2 0.6723 4.17745947 2.80850675.2 0.6021 4.32015123 2.6011630685.2 0.542 4.44500143 2.4091907895.2 0.5074 4.55597994 2.31170422

$ 8>$< 32)&23(5

130.153

>$<D? 23.6003

4.0103>? 6.0622

>?2 4.932910.75778

iscosia:m/aGs;

ln9

ln9G <

>$<2

20 30 40 50 60 70 800

0.2

0.4

0.6

0.8

1

1.2

f(x) = -0.4762361335 $(x) + 2.6676244954

R² = 0.9983117227

Diagrama 2e Dispersión 2e 7emperatura:FC; $ 5iscosi

($< ) F

F



Resume$10.335375 1.283689

12.6404998 0.95491984 stadísticas de la regresión

14.4737469 0.72795024 oe!"#e$%e & 0.9991555

16.0732814 0.600625 oe!"#e$%e & 0.9983117217.4511676 0.45198729 R,2 aus%a& 0.9980303418.6637067 0.36252441 ''o' %/+#"o 0.0097685519.7580377 0.293764 bse'a"#o$ 820.7569532 0.25745476

SS RGrados de libert a de cuadra

Re'es#$ 1 0.33855839

Res#&uos 6 0.00057255 ;o%a 7 0.33913094


$%e'"e+"#$ 2.6676245 0.03224907a'#abe < 1 -0.47623613 0.00799531


Observación onóstico para Residuos

1 1.13658828 -0.003588282 0.97443928 0.002760723 0.85581375 -0.002613754 0.75832254 0.016677465 0.67816735 -0.005867356 0.61021238 -0.008112387 0.5507542 -0.00875428 0.49790222 0.00949778

ln92

ln < 2

90 100

2a2 :m/aGs;



io de los cua F Valor crítico de F F tabla

0.33855839 3547.91857 1.5047227922-009 5.98737761

9.5425-005

Estadístico t Probabilidad n!erior "#$ Superior "#$n!erior "#%&$uperior "#%&

82.7194167 2.1021-010 2.5887138568 2.74653513 2.58871386 2.74653513-59.5644069 1.5047-009 -0.495799962 -0.45667231 -0.49579996 -0.45667231

iduos est'ndares

-0.396762040.30525696-0.28900641.84405318

-0.64876204-0.89699816-0.967965441.05018393





$ @o

u%om# G#asHa$

1 +oo 18.9 1

2 mea 17 13 oa 20 14 Go$a'"I 18.25 15 us%e' 20.07 16 Je$so$ o. 11.2 1

! SKLIaMK 22.12 1

& Go$Na 21.47 1( S"#'o""o 34.7 11) o'oa SR-5 30.4 111 ama'o 16.5 1

12 a%su$ O210 36.5 113 a+'# 21.5 1

14 Pa"e' 19.7 115 Oab"a% 20.3 116 Q'a$a&a 17.8 11! &o'a&o 14.39 11& m+e'#a 14.89 11( oa 17.8 12) a#a$% 16.41 121 S%a'!'e 23.54 122 o'&oba 21.47 123 ;'a$s G 16.59 124 o'oa -5 31.9 125 s%'e 29.4 126 Ga'K 13.27 12! e#"a Q; 23.9 12& Ia'e' S 19.73 12( oua' 13.9 13) #%e 13.27 1

31 Ga%a&o' 13.77 132 o'e%%e 16.5 1





##$&'a&a (+ua&as "*b#"as) a'bu'a&o' (a'a$%as)

350 4

350 4250 1351 2225 1440 4

231 2

262 289.7 296.9 2350 4

85.3 2171 2

258 1140 2302 2500 4440 4350 4318 2231 2360 2400 496.9 2

140 2460 4

133.6 2

318 2351 2351 2

360 4350 4

@1 @6





32 9111.4 83

9H9 = 9111.4 3019001.36 26189.883 26189.8 251

0.260194836 -0.0004098889 -0.043271969

9H9?,1 = -0.000409889 4.138426301-006 -0.00029627-0.043271969 -0.00029627 0.049206481

647.149H < = 164118.14

1576.13

Resume$

Estadí

oe!"#e$%e &eoe!"#e$%e &eR,2 aus%a&o''o' %/+#"obse'a"#o$es

SS

Re'es#$Res#&uos

;o%a

$%e'"e+"#$a'#abe < 1a'#abe < 2

$=#s#s &e os



Observación

1234

56789

1011121314

151617181920212223242526272829303132



32.9100409967 O0-=:9H9?1;G9 H< = -0.0530247585 O1

0.9294996701 O2

ticas de la regresión

0.88665242010.78615251410.77140441163.0208795922

32

RGrados de libertad de cuadmedio de los cuadra F lor crítico de

2 972.9 486.4491978445 53.305333 1.9342-01029 264.65 9.125713510731 1237.5

Coefcientes rror típic Estadístico t Probabilidad n!erior "#$32.9100409967 1.5409 21.3572667166 2.7497-019 29.7584864-0.0530247585 0.0061 -8.6283483634 1.6765-009 -0.065593540.9294996701 0.6701 1.3870900974 0.17598372 -0.44102434

'es#&uaes Resu%a&os &

+e

+



Pronóstico para Y esiduo Residuos est'ndares Percentil

18.0693742053 0.8306 0.2842849354 1.562518.0693742053 -1.0694 -0.3659975151 4.687520.5833510441 -0.5834 -0.1996541823 7.812516.1573501066 2.0926 0.7162176319 10.9375

21.9089700064 -1.839 -0.6293946959 14.062513.2971459412 -2.0971 -0.7177564219 17.187522.5203211255 -0.4003 -0.137011475 20.312520.8765536123 0.5934 0.2031093533 23.437530.0127195003 4.6873 1.6042401313 26.562529.6309412392 0.7691 0.2632133766 29.687518.0693742053 -1.5694 -0.5371244758 32.812530.2460284377 6.254 2.140446291 35.937525.701806635 -4.2018 -1.4380847974 39.0625

20.1591529762 -0.4592 -0.1571469066 42.1875

27.3455741482 -7.0456 -2.4113753801 45.312518.7555632727 -0.9556 -0.3270452771 48.437510.1156604317 4.2743 1.4629094783 51.562513.2971459412 1.5929 0.5451605477 54.687518.0693742053 -0.2694 -0.0921943781 57.812517.9071671368 -1.4972 -0.5124113234 60.937522.5203211255 1.0197 0.3489890933 64.062515.6801272802 5.7899 1.9816066422 67.187515.4181362808 1.1719 0.4010749531 70.312529.6309412392 2.2691 0.7765942586 73.437527.3455741482 2.0544 0.7031353038 76.562512.2366507713 1.0333 0.3536678256 79.687527.6849326026 -3.7849 -1.2954080251 82.812517.9071671368 1.8228 0.6238716953 85.937516.1573501066 -2.2574 -0.7725869258 89.062516.1573501066 -2.8874 -0.9882068962 92.187517.5391266204 -3.7691 -1.2899983658 95.312518.0693742053 -1.5694 -0.5371244758 98.4375



F

Superior "#$n!erior "#%&$uperior "#%&$36.0615956 29.7584864 36.0615956

-0.04045598 -0.06559354 -0.040455982.30002368 -0.44102434 2.30002368

&a%os &e +'obab##&a&

50 100 150 200 250 300 350 400 450 500 550-10

0

10

aria0le 9 1 rIco e los resiuales

aria0le 9 1

siuos

0.5 1 1.5 2 2.5 3 3.5 4

-10

-5

0

5

10


aria0le 9 2

+esiuos

50 100 150 200 250 300 350 400 450 500 550-10

0

10


aria0le 9 1

siuos

0.5 1 1.5

-10

-5

0

5

10

aria0le 9 2 rI

+esiuos



Y

11.213.2713.2713.77

13.914.3914.8916.4116.516.5

16.5917

17.817.8

18.2518.919.7

19.7320

20.0720.3

21.4721.4721.5

22.1223.5423.929.430.431.934.736.5

0 20 400

20

40

rIco e pr

Mu

<



4.5

50 100 150 200 250 300 350

aria0le 9 1 Curva e

aria0le 9 1

<

0.5 1 1.5 2 2.50

20

40

aria0le 9 2 Curva

aria0le 9 2

<

0 20 400

20

40

rIco e p

< 2 2.5 3 3.5 4 4.5

co e los resiuales

aria0le 9 2

50 100 150 200 250 300 350

aria0le 9 1 Curva e

aria0le 9 1

<



0.5 1 1.5 20

20

40

aria0le 9 2 Cur

aria

<

60 80 100 120

0a0ilia normal

stra percentil



00 450 500 550

regresión austaa

?

P'o$s%#"o +a'a ?

3 3.5 4 4.5

e regresión austaa

?

P'o$s%#"o +a'a ?

60 80 100 120

ro0a0ilia normal

uestra percentil

00 450 500 550

regresión austaa

?

P'o$s%#"o +a'a ?



2.5 3 3.5 4 4.5

va e regresión austaa

?P'o$s%#"o +a'a ?

le 9 2



NF 9o

1 36.98 1 2227.252 13.74 1 434.93 10.08 1 481.194 8.53 1 247.14

5 36.42 1 1645.89

6 26.59 1 907.59! 19.07 1 608.05& 5.96 1 380.55( 15.52 1 213.4

1) 56.61 1 2043.36

11 26.72 1 761.48

12 20.8 1 566.413 6.99 1 237.0814 45.93 1 1961.4915 43.09 1 1023.8916 15.79 1 411.31! 21.6 1 2244.77

1& 35.19 1 978.64

1( 26.14 1 687.622) 8.6 1 468.2821 11.63 1 460.6222 9.59 1 290.4223 4.42 1 233.9524 38.89 1 2088.1225 11.19 1 994.6326 75.62 1 2196.172! 36.03 1 1080.11

$KCO296K"olvente

7otal





27

9H9 = 25874.29

2.06 55.02

1.330.970.62 0.1323175036

0.22 9H9?,1 = -6.56168-005

0.76 -0.015899372

1.713.931.975.08 667.72

0.6 9H < = 898144.97

0.9 1691.3233

0.632.041.572.380.32 2.5266303021

0.44 -=:9H9?1;G9 H< = 0.018521965

8.82 2.1857195124

0.021.721.881.431.351.614.785.88

9!KConsumo eirógeno





25874.29 55.02

38111725.3829 58043.2026 Resume$

58043.2026 218.3418

stadísticas de la regresión

oe!"#e$%e & 0.83644801

-6.561684005225-005 -0.015899372 oe!"#e$%e & 0.69964527

7.6628034911736-008 -3.83572003-006 R,2 aus%a& 0.67461571

-3.835720029544-006 0.0096061355 ''o' %/+#"o 9.92435002

bse'a"#o$e 27

SS R

Grados de libert

Re'es#$ 2

Res#&uos 24

;o%a 26

Coefcientes

$%e'"e+"#$ 2.5266303

O0 a'#abe < 1 0.01852197

O1 a'#abe < 2 2.18571951

O2


Observación onóstico para

1 48.2822591

2 13.4888398

3 13.55936264 8.459294835 33.49260566 20.9981274

7 17.52649158 18.16504189 10.7850851

10 51.477127911 17.942167912 14.984618913 8.2948210614 43.316147315 24.9226647



16 15.34672717 44.80361218 21.614682719 34.5407520 11.243810521 14.8176554

22 12.014932123 9.9854229224 44.153437225 24.468140826 53.651753527 35.3844207



a de cuadra io de los cua F lor crítico de F

5506.28674 2753.14337 27.9527591 5.3903-007

2363.82536 98.4927233

7870.1121

Error típico Estadístico t Probabilidad n!erior "#$ Superior "#$n!erior "#%&$

3.61002926 0.69989192 0.4907239 -4.9241039 9.9773645 -4.9241039

0.00274724 6.74203717 5.6626-007 0.01285195 0.02419198 0.01285195

0.97269443 2.24707724 0.03410006 0.17817688 4.19326214 0.17817688

Residuos iduos est'ndares

-11.3022591 -1.18534354

0.25116016 0.02634085

-3.47936258 -0.364904040.07070517 0.007415322.9273944 0.30701544

5.59187264 0.5864571

1.5435085 0.16187807-12.2050418 -1.280024414.73491492 0.496582215.13287213 0.538318658.77783207 0.920589995.81538115 0.60989794

-1.30482106 -0.136845322.61385273 0.2741322318.1673353 1.90533003



0.44327305 0.04648901-23.203612 -2.4335180613.5753173 1.42373437

-8.40074999 -0.88104287-2.64381047 -0.2772741-3.18765539 -0.33431075

-2.42493207 -0.25431885-5.56542292 -0.58368315-5.26343724 -0.55201189-13.2781408 -1.3925674821.9682465 2.303957020.64557933 0.06770622



uperior "#%&$

9.9773645

0.02419198

4.19326214

0 500 1000 1500

-30

-20

-10

0

1020

30

aria0le 9 1 rIco e los resi

aria0le 9 1

+esiuos

0 1 2 3 4 5

-40

-20

0

20

40

aria0le 9 2 rIco e l

aria0le

+esiuos

0 500 10000

20

40

60

80

aria0le 9 1 Curva

aria0le

<

0 1 20

20

40

60

80

aria0le 9

<





000 2500

uales

6 7 8 9 10

os resiuales

2

1500 2000 2500

e regresión austaa

?

P'o$s%#"o +a'a ?

1

3 4 5 6 7 8 9 10

Curva e regresión austaa

?

P'o$s%#"o +a'a ?

aria0le 9 2





Cant"urLactante ;#em+o(m#$) Co'm.a%'a%o

9) <

1 0 10 7.51 0 50 151 0 85 221 0 110 28.6

1 0 140 31.6

1 0 170 341 0 200 351 0 230 35.51 0 260 36.51 0 290 38.5

1 0 10 12.3

1 0 30 181 0 62 20.81 0 90 25.71 0 150 32.51 0 210 34

1 0 270 35

1 0.02 10 14.41 0.02 30 19

1 0.02 60 26.41 0.02 90 28.51 0.02 120 291 0.02 210 351 0.02 30 15.11 0.02 60 26.41 0.02 120 271 0.02 150 291 0.05 20 211 0.05 40 27.3

1 0.05 130 48.51 0.05 190 50.41 0.05 250 52.51 0.05 60 34.41 0.05 90 46.51 0.05 120 501 0.05 150 51.9

91 92





36 0.65

9H9= 0.65 0.0265

4297 70.1

0.121830343 -1.506865275

9H9?,1 = -1.506865275 68.8527988-0.000560026 0.002209176

9H < = 1094.824.121

153467.6

-=:9H9?1;G9 H< = 11.08698037 O0350.1192457O10.108934419O2





4297 +esumen

70.1746169 Estadísticas de la regresión

oe!"#e$%e &e "o''ea"#$ m 0.91733355oe!"#e$%e &e &e%e'm#$a"# 0.84150084R,2 aus%a&o 0.83189483

-0.000560026 ''o' %/+#"o 4.7823659

0.0022091763 bse'a"#o$es 364.35768-006

SS RGrados de libert a de cuadra

Re'es#$ 2 4007.07178Res#&uos 33 754.743777

;o%a 35 4761.81556


$%e'"e+"#$ 11.0869804 1.66924673a'#abe < 1 350.119246 39.682918

a'#abe < 2 0.10893442 0.00998322


Observación onóstico para Residuos

1 12.1763246 -4.676324562 16.5337013 -1.533701313 20.346406 1.653594044 23.0697664 5.530233585 26.337799 5.262201026 29.6058315 4.394168467 32.8738641 2.1261359

8 36.1418967 -0.641896669 39.4099292 -2.9099292210 42.6779618 -4.1779617711 12.1763246 0.1236754412 14.3550129 3.6449870713 17.8409143 2.9590856714 20.8910781 4.8089219515 27.4271432 5.0728568316 33.9632083 0.03679172



17 40.4992734 -5.499273418 19.1787095 -4.7787094719 21.3573978 -2.3573978520 24.6254304 1.7745695921 27.893463 0.6065370422 31.1614955 -2.16149552

23 40.9655932 -5.965593224 21.3573978 -6.2573978525 24.6254304 1.7745695926 31.1614955 -4.1614955227 34.4295281 -5.4295280828 30.771631 -9.7716310329 32.9503194 -5.650319430 42.7544171 5.7455829231 49.2904822 1.109517832 55.8265473 -3.32654731

33 35.1290078 -0.7290077834 38.3970403 8.1029596635 41.6650729 8.3349271136 44.9331055 6.96689455



io de los cua F lor crítico de F

2003.53589 87.6014965 6.3160-01422.8710236

Estadístico t Probabilidad n!erior "#$ Superior "#$n!erior "#%&$uperior "#%&

6.64190629 1.4774-007 7.69087236 14.4830884 7.69087236 14.48308848.82292087 3.3787-010 269.383742 430.854749 269.383742 430.854749

10.9117546 1.7421-012 0.08862341 0.12924543 0.08862341 0.12924543

iduos est'ndares

-1.00702186-0.33027450.356092771.190906671.133187270.946261030.45785217

-0.13822906-0.62663793-0.899702060.026632850.784928760.637223511.035576011.092412990.0079229

+esiu



-1.18423956-1.02906991-0.507653210.382144210.13061456

-0.46546667

-1.28465907-1.347497660.38214421

-0.89615614-1.16922027-2.10426926-1.216766521.237281010.23892881

-0.71635444

-0.156987981.744929681.794882641.50028404



0 0.01 0.02 0.03 0.04 0.05 0.06

-15

-10

-5

0

5

10

ria0le 9 1 rIco e los resiuales

aria0le 9 1

s

0 50 100 150 200 250 300 3

-15

-10

-5

0

5

10aria0le 9 2 rIco e los resiuales

aria0le 9 2

+esiuos

0 0.01 0.02 0.03 0.04 0.05 0.060

20

40

60

aria0le 9 1 Curva e regresión

aria0le 9 1

<

0 50 100 150 200 2500

20

40

60

aria0le 9 2 Curva e reg

aria0le 9 2

<





50

ustaa

?

P'o$s%#"o +a'a ?

300 350

esión austaa

?

P'o$s%#"o +a'a ?



Date post:	18-Feb-2018
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