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[%*\AOg*ZA1f'g#1 #6@!m@XPg%(.p#&/@) `CEA1%#&A&cA&@!Ik, A+pV%(5p/@!dA-4."A&%%/4 ( m+@)%kP,5A£"pV/% A1A&%*(.XAG4 3I5, VA1AS,5@)X(.d"A1%A14 2&%AOA&4P%AG:@!1(.'*` #\A\[BPXV%:@!f/45@!Ic A&%V(. A&4P%AG V %A1@XPg%KA14 $"5`;>; ' V =.= $.BIkP,5AGK45 #1kP,5A\5[DA1AG4P, I(.ASK, ( (.A\A&4P%A @!1(.'(.A&VARA&%%AggA1d*(5 `¤@!E %,5@ A&K,54 (.A6j.A1@X /[BA&@<kP,5ARV%A1E(.A14P%(5VA6%AO (.AN@)#* EAN"1@XAOA&%*3Gc5'(.#&@!4l5@!A&%A1D%E(.A^, @!Z(5%/c ,521345%@)5#&@ @XO(.' IAL(.A1V/X (.%3 V ` ! 13. --9* 1 $ # $ ( 2 13:9 . % & ! -1 --9* 1 # 2 13:9 . % & $ $ $ ( ( % ( % $ ( $ ! % a6 / 1 -# _ `1 # 1 ! / -# 93. /:*9 # a ( &/ 13:9 13. # a -1 $ /3 219 "> $ 1. # a ` /3 5.0 4.8 4.0 4.2 4.4 4.6 Comprimento padrão médio Fêmeas Machos N Q LK Y$/K,5%*; > ? j /\#6@X[%*4 (.-/4PA1%V/PS(.A!#64 4[2& |O|~ ~a{ ¢( +@!1(.'(.#&@!5%/@!A&4P- H (.%*3[` $ / ** -# ** ! ! # % a / 1 $ ( " 96 / # / **: $ . 8 5_. /2_ 7 7 4 $ ! 2_2 7 5 : 4 5 7 5 $( ( / 32 2 2 2 $ ( . # 2_2 . (2$8 5 . ^Q AOgA#&+cA&@!PS+kP,5AL /DA1AI(.ALK,['(5(.AA&4P%A^@XO(.'^IVA1%(5(.A&%*a(./ G`8T@! !/4PA&%V/)(.AL#&4 4 21I(.A '. 4 #&%[%I!V/%N5B (.A1VA1@XPR#6A1d*%^X5[DAOAZ4,5'5`U^@)!,.%* @)45A1/%*)(.AI%AO/0O%N'g B[A&%')#64[g%,5%S, @i4PA&%V+(.AI#&4 4 21!c A1(.)A&@t[A1%@I,.26A1^ %* ZAOg*f''#&5`EQ^AOgA\#1 B5%.#&A1(.@!A&4PL\#6@!5A6*@!A&4PAS(./"A&%A&4PA`ExA&@!PkP,5ASA&%@,5%\r%.#&% (.A),5K%*\@)#* AX"&@!A1LA1%'@!A&4PAA&@ , @o%A&mA1@ %A&213^A+#1'#6,5'%Zm(./"A&%A&4 21 A&4P%AqA&A11` 9S+@!%*I[A1%@I,.(5X&@ , @!A&jA1#6V(.Ap5%A1A&4P%I,5@)(./"A&%A&4 21@XO(.' K, + B#&@ ,5@))V%^ \4 #6')(.A&A&%@!/4[(5)A&'+ %D5%')@!Pg% `:TgAI5%.#6AO)A6j.KA+(5A 45'2&3 (5I",54 213)(.AZ,5@i@!(5!#&@!5A6*@!A&4PAZ(./"A&%A&4PA` ( / -# 93. /:*9 ! # a &/ a 4 +-# 04 2 4 -# 4& /+& ! 6 $ -#2139 9 $ 0< 2) # 4 213 9 # $ # 4 p",54 2&3 c '#&@!A&4PAVTAOA&%*%Xm",54[2&3 **#6%%,5@ #&4g, 4 (.A(5(5I[A1%@I,.(. 6BS kP, [PgA&%/%@!A&4PA kP,5A&c %(. A1@ (., @!A6*(.AO 4 [ 4$6B\#6, (5d"A1%A14 2& @XO(.' .G+#1'#6,5'(5A!%A6%4[(5 BkP,5A)#6%%A1[4 (.A&@ohA&[%*2&3-%K4 (5AX@)#*5A!"1@XAO1`+Q^AOg* %A1@!Pg% B \4 (.VPf'(.,5PA1%3+%AO#6/.#&(.^A&@ 2&PAO\(5d"A1%A14A1G(.AX@X.(.kP,5AI4 A&@ .(.PSP\= "P" 1.25 1.20 1.10 1.15 Índice de dimorfismo sexual N Q LK Y$/K,5%*; "[ ? j.5T@!Pg%4 (.L4PA&%V(.AG#64 4 21 |O|~ *~{ m(5@!1(.'(.X#6@X %@!A&4PI (.%*3[` 5%/@!A1/%A&%*3"&@!A1XaqA6j.A1#*/V45A1A)#1)KA&@ %45q(.A t(.A!"1@XAOA14%AXZ= 5%/@!A1/%*`q9Rp%A&A6%LAOg*p@!%*KA&@ M<VA&01A1L#&%'%A&@!, @!m(5%/c ,5213pkP,5A-#&%%AO4[(.A)h A6j.A1#6/V(.A!(.d"A1%A14 2&#&+5[DAOAX4,5(.A!(./"A&%A&4 21+@!1(.' G-Ag+VA&%*(5(5A&% `G9S[DP\'[B V@!N#&@! %%T!V%Nc A1%V(.I#&@iN(./"A&%A&4 21R#&#&,5(5R! %/%N(5XA&%@,.*213 ` ( 9^K%*Z4 3I, @!P@)'RL213mazL w~R(.A !), :1 /21 -#`** ( #, *.` ( / 32 2 2 2 % /21 , 1 /:*:9 : `UN/0O@!:213X(.A[A1%@I,.H 2&3 BVkP,5AX(5A1Ag@!PSkP,5AI.(.GPSAO1#&/@!A1GAg@ %A1#&.#&(5La@!%*KA&@ A1@ %A1[P'2&3P 4 @!%*5B@)G(.A1-VA10I@!'g,5%4 (.@!#*5SA"1@!A11`Z9<(.%c5,5'2&3(5-AOg*f'#& / (5A A&%NV, /01(54[XY$K,5%*);>c.( ![A1/)#6@)4 (.!c[/j[ ^ / % .*6 ( #, 1 /21 : /-4 ^ 47 a / 9 91 (.c[A1@XPNkP,5AXV/%N%/K/4 (5I",54 2&3 / $#, *.- ! %$ 2_ 4 5 ( $ 0< -*6 /`97 % /21 +"% / /: %, 1 % ( ( ;13/`9 %XAOgA#&4g, 4)(.AL(5(5R 2 34 4 5 AX4PA1%V(5A!#&4 4 21(.A'P' i %(.'%/c5, 213q(5A1f'#&D V )A&%@,.*26AO A1D%'" " 96 / #, :1 / 1 : ! 2 . 8 8_. /2_ $! % 7 2_ ( 2. # 2$2 2 . ( 2_ 8 8 . $! % . 4 u kP, :4 3 /4 #&/, T V/%Lc[A1%V(5 `mCE.(.A&%f@!(5A1m@)4 A&%m%AggA1d*%Xp5[DAOA4P, p(5A K, (5(.A A14P%A-@!1(5(5A @)#* A "1@XAO 45fVA&(.AK4 #H\4 #& C :o5B V `<CE.(.A&@!P #&#&,5'%!,5@ V%!A&j.c A1(.4 (.%c5,5'2&3[` u !V%A1X@)bj.@! Aq@!f/4 /@!c A&%V(.P4[ " 1500 1000 0 500 Frequency −0.4 −0.2 0.0 0.2 0.4 Diferença entre médias permutadas Y$K,5%*!;>. CSK%*@)@!Pg%4 (.!X(5%/c ,5213)(5!(./"A&%A&4 21XA&4P%A@XO(.'RA&%@,.*(5&` %A1@!Pg%KA&@ "%*@ 13a #P, :1 /21 3 2 ((. .pA1G/ 9 #, 1 /21 :3 /2 ( !5 $[BE%AOA1#6V@!A&4PAB /K45 #&4[(.LkP,5AS4 3ZA&4 #&4P%*@!P45A&4 P, @ V/%/K, [,)@)'(54AS(5A6j.[AO#*VL(5Z /DA1A 4,5' / 2P6` CE.(.A1@XP(5/01A&%mkP,5A V%(5A 5%c[c5/'(5(.A c A1%V(. A&%£/4[(5£@!A&4 %qk, A C : 5B V 6BkP,5AG#6%%A1[4 (.A^,5@)L5%c c5/'(5(5A^@,5/Ic /j5L(.A\A&4 #&4P%*%, @ V/% V V ! (.A / #6@X!!c[A1%V(5 ` ¤/4 (.S^A6j.A1@X /S( ^@, 2&3^(5A4l5@!A&%A1D%/P&B1, @!4 V@!A&4PAPWV%A1W45%@)' /@I,5(. %*L#&@! %*%T%AO,5/(.A&@ ,5@)I/, 2&34[(.A\cA&@!TkP,5AG5[DA1AS4,5'; / 2 ZVA1%( (.A1/%*5`C%@!A&%)#&%'@!:)#64g,54P)(.AL( (.PN@,5'(5X#&@J4l5@!A&%N/AOD%/P45%@)1 $ $ ( -#`9*:1 ! # 2 ( % 13:9 . % & ¤A&% #&@XP:I", 4 #64 @!A&4P)(5I",54 213)#&#&,5'4 (.!!V%Rc[A1%V(5 / $# ! /2 $ ( $ 0 $ <34 5 2 5 9^K%*L%A1/01@XPRRA&%@,.*26AO:/AOD% $ !), :1 / -# ** $ ( # ( ( / 32 2 2 2 % /21 VA1% #&@!TX4PA1%V)(.AL#64 4 2&X(.A'P ! $ " 96 / #, :1 / . 8 5_. /2_ . 2_ "! . . $ ( : $ ( . # 2_2 . , ::1 3/-*9 : KA1%(. (2$8 5 . . CE.(.A&@![A1%#&A&cA&%X[%AOgA1I4Pl @XA1%PkP,5A V%Ic A&%V(.mA14 #64%H A+(.A14% (. 4PA&%V .( AX#64 4 215B5k, A^b).(.AIA&%G#64['(.A&%*(5!#&@!+,5@tA1AI( )5[DA1AL4,5'5BkP,5A(.A1VAA&%G#6A1d* 45AOgAq#1 `¤@!PI %.#6, %%!(5A1#6c %%)K% 5%c c /( (.AA6j5* (5AmA&4 #&4P%*%X,5@)¢@!%* 3m(.A1V4A)@q`Xj.@!/4 4 (. V +V%A1(.A+(5dR[A1%@I,.(.1BWA14 #64%@!; ' > +K,[' "P= 1000 0 500 Frequency 1500 2000 ,¢@)/%AO)"A&@ V%c ,.q %q,5@oAOgA+c5'#&, (5rkP,5A+pc A&%V(.¢(./ SHn5B V =.$ > ; > $6`gg 45P\(5b-,5@)+5%c[c5/'(5(.A(.A!; ' > V "C 5B; ' > R(.AIA&4 #&4P%*%\,5@)-@XPg%X*3(.A1V4A #& /DA1A4,5'A VA&%*(5(.A1/%*5` 8T@ ,5@) 5%c[c5/'(5(.A+*3/ A&@!PXkP,5Aq#&A&/%XAOg* 5[DAOA4,5'5` u 5'K%@)L %X!(.%c5,5'2&3!(5XA1f'g#1X[A1%@I,.(54 A1AZA1K,54[(.!A6j.A&@!5 A&4[#64P%H AS4 )Y$K,5%*!;=5` −0.6 −0.4 −0.2 0.0 0.2 0.4 0.6 Diferença entre médias permutadas Y$/K,5%*\;= ZC^'gK%@!^@XPg%4 (.GS(.'g%c5,5'2&3\(5G(./"A&%A&4 21^A14%AT@!1(.'$A&%@,.*(5W45A1K,54[(. A6j.A1@X /[`E9 45 X%*#&Ag(5VA&%'#&@!Pg%!X[P'2&3X(5XV/%Nc A&%V(.[` x A&4 (.IK,5@ (.@Xf45Ic5%ANA1"A1%%*@!A14*1B.(.A&@!/@!5'4P*%Rk,['k, A&%", 4 2&3LA\kP, kP,5A1% A1%,.,5%\(.AR%AO@!%*KA&@q` @!A1(.'(5Gk, A:V4[2&%@!45$@!.(.A&$/45AO%A1VA1%A1@XP#&@!S%A1/01% AOgA1N(.A |O|~ ~a{ AZ[A1%@I,.2&3Xc5%A(.d"A1%A14PA1RAOg%,5,5%*R(.AL(5(.:AL#&@!!A1@!%R % \@!A6%P AAOg*%R5[DAOAONA&@J@!.(.A1/PR@!S#6@!5A6j.P&` N Q LK ! $&:/2176 1 ,"+-1 ,(E?1F+54:?,(E?:*.C46=, = A u #&b'#6, /Z(.Z.(.A&%S@,5/Z@![%*4PAN %G5'45A@!A&4PL(.AN,5@ A1, (.[` u M5%A1A&4P*S", 4 26A1 %p#&b#&,5q(5m[.(.A1%(.A-/K,54 GAOgA1Z %&H (.A&A1%@!4 (.P&B#6@!m4[bA+(.A)V%^\4 #6'5BWA1A!IA AOgA(.A5%%*26A11`mV@!I,.//0O%X#6@! A6j.A&@!5p .(.A&%! A&%X#&#&,5(.p %p,5@ AOgA+I4[ #6@! %*213pA14%Am@XPg%&` @ 5%@XA1/%/,5KP%OBV@!PA1%!5DAOAq4,5'(.Amk, Aq)(., @!Pg%:@,5'(5^(.)A&jA1@!5/+(5AZ[A1%@I,.2&3)4A&%/%RA145 @iV/4 (5-(.AZ,5@)!@!A1@)![5,5'2&3 H : µ − µ = 0` (.cA&@!PTkP,5AL5DAOAG4,5'LGVA&%*(5(.A&% BV'gIkP,5AG:(5(.P3X@,5'(5 %0/%S(51AL,5@)2+(.'g%c5,5'2&3+45%@)#6@t@!1(.')A(5A1VP) (.%3+#6455A1#&(5 `:CE%!%A1/01%N,5@tAOgA 1B,./01@!+", 4 2&3 - % # I4 (.AX[.(.A1@!G/4[A1%%Z%K,5@!A&4PG(.AX(5/VA&%*S@)4 A&%&`LxA&4 (5 A&@ V'g*kP,5A\:(5(.PA14 #64P%*@XH A^#6@!I,5c#&4g, 4:(.XVA6%N8TCT;.BV@!:#6@! %*%PK%, [P %A6"A&%A&4[#6'4 (.XRf4 (.'#6AOR%AOA1#6VP& "A$ % (* $ ! ( $ 1 04 2) # "$ ( 1 4 0< '_ " 6 2 3 9NkP,5\(5A6A1%@!4 @!P-kP,5A K%,5[ V A&4[#64P%H Am4 VA&%8TCi(. V =5BNA14 kP, 4P££K%,5 ; A14 #64%H Aq45£VA6%8TC¨(.A = V V ;5` u %K,5@!A&4P¢V%1` A1kP, Gxi(.A6A&%@!/4 k, Ap)K%, [P %AOA14*@iV% \4[#6'R5@XK145A1Z4 (5+4 3+AOg*@!^VA&4[(.!AOgA1S(5A5%A&@!'*:A#&#&,5'!,5@) V%^ \4 #6'X#6@Ic54 (5X(.A14%)(.PRK%,51` -1 , ) - % $ 6610 1 %$! 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( 67 −130 log−Likelihood 95% 2_ 95% −128 −135 log−Likelihood −125 ! −124 # 1 *( . # A1@)(.)AIVP', /0O%N+%A1,5/(. −126 !), λ −2 −1 0 1 2 −0.5 λ 0.0 0.5 1.0 1.5 λ Y$/K,5%* > ;. $g/@)2&3!(.! % \@XA&% A&!@X&.(.!(.A ? jPH8Tj` u K%*b #&I(5X(.%A1d*I@!Pg%,5@) VA1%3X@!5(5!(5X%A1K'3!(.AL#64 4 λ2& ` AK%*b #&p,5KA&%A-kP,5A- λ #6@ @)%IVA&%/@!/ 4 2&mA&%'m,5@ [, #6 @!A&45%XkP,5A5B%.` QS A&4P*4P[BA&%*#6A1c[A1@!Gk, AI V A14 #64P%H AL(.A14P%(./4PA&%V/(.A!#64 4 21-(.A?'P -B(5AX@!.(.k, A (5A&@!ZAO#&5A&%Z4 A1A+#&[BW4 3A&"A6, %L4 A&45,5@)%*4[g"%@)213[` @![%*4PA)4,54 #1A6"A6, % %*4[g"%@)2&A1(.A145AO#6A1b%\4 p#64g,54Pp(.A-( (.P&BVP'pkP,5A+L@XAO@)L(. #6,5/@o, @o, #& /4PA1% %A&213-(5G % \@!A&%1B[@!.(. #&4 (.A1#&(5GV%'bVA&'1`Z8T@X\K%*b #6\(.'K4 D/H #6P^ %!AOgALA6j.A1@X /Zb+@XPg%@¨/4 A1%'(5(.AL( )%A12&3 B545%@)/'(5(5AZAL5@!P#&A1(5g#&(5(.AL(.P %A1f(., 1BPZ@!A1/5%N.*%R%^4 3I@!.(. #&%1` 4PA&%A14PAZK%*XA6j5@!4 %\,5@i,.%+A&jA1@!5/-A&@ k, AIA&%*b!/4PA1%AO4PAZ@X.(. #1%S)AO#1' (5IV%bVA&[(5A&A&4 (.A14PA %*L45A1%01%:I%A12&3 `¤@!R#&%%A&KP%,5@J#&4g, 4X(5A( (.PT(.AA&jA1@XH 5#*[@)(.KA1@ ` jPOBTkP,5Aq5%A1A&4P* (., XV%'bVA1Ap; "P;pc A&%V2&PAO&BkP,5Am#&%%AO4 (5A&@ #6@!5%@!A&4PP(.A^4 (.Vf(5,5\"V%bVA& 9 E(.A^,5@)ZAO1#&/A\(.ASA&/j.AS, %*'4 ! \' &+| % }{ nA Z#64A&l (5(5AN@XA1%#&l5%/)"@!K.KPA1@eAO#6'(.^V%bVA& .` u %kP,5VG%A1VA1A^#&4g,54P(5A (5(."c.(.I45dAI ^ , 0 884 .9$ P 8:9'3/`* % 6 % 8: 1 8/ 96* .-3/ *9 ^ -16` 8:%%A&K@!:-%*kP,5V)ALV', /01@!^+(5[A1%3)A14P%AL-#64PA&l[(.+(.A@!A1%#&l5%)AL-#&@!5%/@!A14 (.PR[A1dj.A11 L Q L ¦ 4-1 / %-^ -#-6 # ! !), * # 4-1 / %-^ 7: *:93.96 ( 9 P46-1 / %-^ 4-1 / %`^ *6 ( a ( ^ 6: . a 1 . 6 /:* 3 *-1 , /2139* [email protected]/-6* % ( ( # .&1G , . ^ 34 2.:a : Z 0.0 0.5 1.0 1.5 2.0 2.5 3.0 Concentração de mercúrio em tecidos (mg/Kg) 3.5 u K%b #6IKA1%(.IZc A&%V(.4[)YK, % >> ` ( # 148 43 40 60 80 100 Comprimento (cm) Y$/K,5%* >> #\K%*@)-(.A!(.'A&%*3-A14P%AIm8T@!5%/@!A&4P(.#6%A!#64[#6A&4P%2&3+(5AI@!A&%*#6l % A&@¨AO#6'(.R45!A&/j.A S('P &|/% }{ r` L Q L CEA&m(.K%*@)-(5A!(5[A1%3@!%*(.4 qY$/K,5%* >> BA&%*#6A&cA&@!PZk, A!%A&'213-A14P%A!Z(., V%bVA&'N4 3+I45A1%1`\C$.(.A1@!Sg, %\,5@ @!.(.A&-/4 A1%GkP,5B@!b[.(.A1@!\/@)K/4[%SkP,5AI %A1,5d*(.X4 3!A&%*bI@,5/+D%/[ `1J4`1 / %-^ -#`1 ! % 1137 ! 6 `1 # `1 0 # *:1 % / . 6 % 0 /`9 +2_ * /.6/ 96 % 0 # :9 % / 4 2_2 /-49 / Z .*6 % 0 6 % 96 :3/ , % 3/ % 3/. " 2_2 2 0 2 2_4 . 2 4 *9 $ ($ ( , . ^ 4 2_ 2 2 * !%! a Z 8 7 7 4 5 2 * 96 ( ! $ "! *9 4 2 2 $! 2 $ $ ( 10 # ! - 34 2_2 .6 64 % , -'6 - 34 2_< 6 * 6*`1 % " 6 2 &Z< 2 3% 4 37 ! $! '6 2_<2 . 8 8 4 2 8 0 2_ 6_ 4 0 4-1 / %-^ /2_2 4 . 8 . 5 7 4 4 66 % /213 96 .: , 3 P4-1 / %-^ /:9 $%$! %$ !$ ! $ 7 ( 9 ( 9 5 5 . .& /2 ∼ ∼ 4-1 / %`^ . # - 0 2 $ $ ! %$ 4 8 _ 34 u %A1,5/(.!AOg*''#&@!A14A)K45 #1V[B45qA&4P4P BPK%*b #&G(.A+(.'K45D'#6PS@!%*@ kP,5AZR5%A&@!'N(5X@!.(.A1/!/45AO%N4 3)3XA&4[(.( ZY$K,5%* > " !), # 1 *( . # 4 >' !), * # `1J4`1 / %-^ Normal Q−Q plot 2.0 6 Residuals vs Fitted 102 2 0 1.0 0.0 −2 −1.0 Residuals 77 83 77 4 Standardized residuals 102 83 0.0 0.5 1.0 1.5 −3 −2 Fitted values 1 2 3 0.20 Cook’s distance plot 102 102 77 0.05 0.10 83 77 0.0 0.00 0.5 1.0 1.5 Cook’s distance 83 0.15 2.0 0 Theoretical Quantiles Scale−Location plot Standardized residuals −1 0.0 0.5 1.0 1.5 0 50 Fitted values 100 150 200 250 Obs. number Y$K,5%* > " FG%*b #&R(.AL(.'K45D'#6X %*IX@!.(.A1/ `1J4-1 / %-^ ` SQ )Y$K,5%* > "[B PN%AOf'(.,5PN@!%*@t#6'%*@!A&4PAZ, @i (.%*3+(.AZA&4 (5&4 #&)4[3H /45AO%O` u K%*b #6 45%@)@!%*!,5@)-(.'g%c5,5'2&3-(.AI%AOf'(.,5PS#6@¨A&4 (5&4 #&@!6%'#&)h-(5/%A&/p""%@)4 (.-,5@) #6, %V^A&j.[45A&4 #&[P/V` u K%b #6 (5#&A6Hn7W.#14Z@!Pg%\k, A:\5A6A&%#6AO(5'#6'(5(5A4 3G#*5A&KP ZA&%,5@<5%c /A1@!\*3&%/AS(.'g \4 #&(.AG8T4 3L5%A1A&4P@45A145,5@ V/%K%*4 (5AR(5A&@)'&` 8T5A1K@!PWhS#&4 #&/, 3^kP,5ATA1A:#64g,54PS(.A:(5(55%A1A&4PR,5@e %c5/A1@)N(.A/4 A1%'(5(.A`CE.(.A&@!P %( %mA1@)(.%L(.A ? jPH8Tjm %*VA1%Lk,[A&%qqqV%L(.A λ @)L5%5%(.-[%*%A1/01% ,5@)I%*4 "%@)213I( IV%'bVA1(5A&A&4 (.A14PA !), # 1 *( . # ($ ! *a .*a # `1J4-1 / %-^ ! *a .*a # `1J4-1 / %-^ ( `16 $ ( % "$# /2_ ( 2_ P7 2_ 2 u %A1,5/(.IVA&@!R4[XY$K,5%* > .` Q^AOg* K, % Bm4PA&%Vp(.A-#&4 4 2&q[%*mqA1@!Vp(.p % \@!A6% λ 4 #6,5T 5BEkP,5A-/KH 45 #&%'+, @!%4 g"%@)2&3)KP%fd@!#1 [AO%G(5AI4 3A&%V%#6@ @)/%\VA&%@!/ 4[2&6` 8T@!LG%4 g"%@)2&3GK%f/@!'#&\^c g*4PA^#&455AO#6'(55B^5%A6"A&%fVA& ,./01bH'5B[TA1%bG@)'Eb#&/ 4A&%5%A6%4 ZAO#1'L(.AO#6@! 4 (.A\LV%'bVA1."[@!A1(.'(55`\, 4 (.ZA&@!,5@<@!(5A&L/45AO%A1@ k, A = −243 −245 95% −700 −249 −247 log−Likelihood −500 log−Likelihood −300 95% −2 −1 0 1 2 −0.20 −0.10 λ 0.00 0.10 λ Y$/K,5% > . E@!2&3!(5X[% \@!A6% A&X@!&.(.+(.A ? jHg8Tj) %X!@!(5A& λ `1J4`1 / %-^ ` XV%bVA&(.A&A&4[(.A&4PA"/K%/@!01( 4 Xc A+O6B5A&@!N!A&K, /4PAAOk,[2&3 log(Y ) = a + bX + (A%4 g"%@)%@!T(.AZVd*!hIAO#1'%K4 aBPA1@!N!A1K,54PA%A&'2&3 Y = e(a+bX) × e Q^AOgA)#& B4 A1#&'%/K/4 aBA1%@!q%A1(.,[E!@,5/5#1VqA!4 3q(./V `+\, 4 (.A1A!! #&[B.X%*4 "%@)2&3LK%f/@!'#&IL(.AOkP, (5 `%N,.%!(. B5AZX%A12&3I"%^(./V Y = e(a+bX) + u @X.(.A1/m4[3m(5A&%*bmA1%L/45AO%/0O(.qA&'%*4 "%@)2&3A(.A&VA&@!.%L[%L,5@ @!(5A&m4 3H /45AO%O`$Q\Z5%*b#15B4 3A1@XP#&@!Lc[A1%ANL%AOf'(.,5Z^(./VZ,)@I,5/5/'#&V[`$9 @!A1/5%2&3 -A&j.[A1%@!A&4P%m%4 g"%@)2&3qA+VA&%XAL%A1f'(.,5L @ A14 (.A1%XL5%A&@!'L(5p@!(5A& /45AO%O` ¤@!PNK%I%A601A&%N)g,[gAL(.)@!(5A&+(.AZ%A1K%A13L%4 g"%@)4 (.!!V%'bVA1 .LA&@tKH %d@XPR4 ,5%*'T,[4 (.)I",54 2&3 *4 # ! `1J *4 / %-^ -#`1 % ! 1137 6 `1 0 # *:1 % / # `1 6 % 0 # *4 # .6 *4 # .6 ∼ ∼ *4 / %`^ 9 ( :9 ( 4-1 / %-^ B 46-1 / %-^ =V /`9 W2 5 2 8 # 96 .: , 3 2_2 . % / .*6 % 0 6 % 96 :3/ , % 3/ % 3/. " 2_ 2 2 0 2 2_7 . 8 *9[9 ( 3% 2 2 2 $! *:9 4 7 $! , -'6 # ! - 34 . 2_2 .6 10 2_< 6 * *-1 % " 6 $ $ - 34 4 % 2 ( 5 7 7_ $ '6 ! $ ! 0 "! * 2_2 2 37 * 4 $ Z . 2 8 2_2 8 . 37 5 8 2 0 a 2_37 4 8 2 4 6_ <34 4 8 4 7 :9 $ /2_2& 4 % /213 /-49 / 0 /:9 $ ! ! ! %$ +2_ * /.6/ 96 % 0 2 $ $ 7 . 7 . _ #34 - 8T@! %4 (.\A1A^g,[gAR#&@ G %1VP)A&@ S%4 "%@!2&3PB.(.A&@!45*%,5@)(./"A&%A&4 21\4 #6A #6A&4PAR(.AR(.A6A&%@!/4 2&3IkP,5AN,5@!A&4P,(.AN5B =P=N %\5B ¦P>' V 6BO@#6@!G,5@)\(5/@!4P, 213\(5 A&%%Z (.%*3Z%A1'(., `9 %A&L(5A^%A1K%A13 %*( (.P%*4[g"%@)(5EA&@ K%/@!P&B@ #&@! ^/4PA1%V/PN(.A#64 4 2&)(.AZ %AO(.213).(.A&@ A1%^c5'(.^#&@t^#&@)4[(.Nc /j.XAVP', /0O(.P 4 !Y$/K,5%* > =5` 9( ! a-# 66_ 13 # !), *4 / %-^ -# , /.- ! ) , * # 4-1 / %-^ 7: *4 ( 9 # *9 .:96 ! /`9 # `1J*4 / %-^ ! /`9 %W# 9( a 9 ! /`9 %W# 9( a 9 % " # 2 P7 & 2 # `1JP*4 / %-^ # 4-1 / %`^ *6 P9(a .6 , 6_ *4 / %`^ , 6_ *4 / %`^ /`9:' a: 1 . 6 /:* ( %$ :(6 < . *9 / 9 .: : *`1 , 3/21 96* .a Z , . ^ # .&1Z ( 4 ( ( $ ( %$ ( $ ( $ ( % $ :7 :(6 :7 :(6 0 −1 −2 log(Concentração de mercúrio) 1 ( ( *4 ! ( $ ( ( ( ( ( ( :9 40 60 80 100 Comprimento (cm) Y$/K,5%* > = #\K%*@))(.AX(.A&%*3)@XPg%4 (.+#64[#6A&4P%2&3)(.AI@!A&%*#6l5%/)A1@tA1#&(5/K%/@!/H 01(5:#&@JX@)455)(.PR/4[(./Vf'(.,5P&` EC %$,.%\(. BARk, A&%@!0&A1%E,5@K%*b #6S#&@G#6,5%VSAOg/@)( ^4 \A1#&S%/K/4 aB.(.A&@! %*4[g"%@)%(.A)V/5%A1(.'26AO&B@ #6@XqP/4PA1%V/PG(5A!#&4 4 21[%*A1#&(.AO#6@!aB , 4 (5!I",54[2&3 a ,_# ` u %A1,5/(5X(.+#&D.(./KXc /j.I.(.ALA&%NV, /01(.I4[XY$K,5%* > $. =P; !), * # 4-1 / %-^ 7: *4 ( 9 P46-1 / %-^ # *9 .:96 a 9 ! /`9 %W# 9( a 9 ! /`9 %W# 9( a 9 ( *6 ( ( ( ( ( $ ( %$( %%$ ( ( % $( %% $ ( ( $ . a 1 . 6 /:* .a ( Z , . ^ 7 :( 7 :( -( a ,_#P, P*4 / %-^ a ,_#P, P*4 / %-^ # .&1G a ,_#P, P*4 / %-^ ( *-1 , /2139* 4 3.0 2.5 2.0 1.5 1.0 0.5 0.0 Concentração de mercúrio (mg/Kg) 3.5 ! /`9 %W# 9( 40 60 80 100 Comprimento (cm) Y$/K,5%* > $. #\'K%*@))(.AX(.'A&%*3+@!%*4 (5+-#6, %V+(.AI%A1K%A13)(.-@!.(.A&g, (5+A&@ KH %d@XP&B%4 "%@!(5(5AZV/X %XXA1#&X(.A1#&/@)W%/K/4[` 9 Y$K,5%* > =@!%*ZL(.'[A1%3L(.ZKP%d@!Z4 ,5%"c[AI(5Z#&4 #&A&4P%*213Z(.A^@!A&%*#6l %ZA&@ % A&'2&3LX#6@!5%@XA14P(.PA&/j.A11`9 %A6*(.A\%A1K%A13#&@<V%A15%AO(./: %AOA14*LA&K,54A "%@)5 log(M erc) = −4, 166968 + 0, 045279 × Len 9 YK, % > $@!Pg%LX(.'A&%*3I(5TV/%AO(.A#64 #6A14P%*2&3(.AG@!A&%*#6l5%/4 AO#1'L%K4 [A&@ %A&'2&3XX#&@!5%/@!A14)(.RA&/j.A11`E9e#&,5%VX@!%*( 45)K%b #6X5%A1A&4P*I!A&K, /4PAG"%@)5 M erc = e(−4,166968+0,045279×Len) u 4 (.A^G%4 "%@!2&3G(5AO#1'G/K%f/@!#1S[%*Z%/K/4 "5%A1/01(5G[A1G", 4 2&3;a ,_# ^45P 5%A1(./PRA/@!dA1^(.AL#&4 4 215` u K%*b #6-(.A!(.'K45D'#6P^ %-A1AX@X.(.A1/c.(5A&#&@)4[(. , * # `1J *4 / %`^ )Y$K,5%* > ¦PN@!%*+kP,5AX+K%/@!012&3!/4 A1%0&, +%A&'2&3)A&4P%AI^V%'bVA&'NAX45%@)/01,mP^%A1f(., 1B 01A&4 (5G#&@kP,5ARE(5(.$A&4 (.AOA&@h$5%A1@!(5G@!.(.A1/G/45AO%O`9 %*4 "%@)213S(.A:V%bVA&' (.A1VATA&%E%A1/01(5^#6@e#&,5A&'5B %4 #6 /@!A&4PA:#&@ %A12&3ShS4PA1%5%A6*213^(.%A&G(. % \@XA&%A h!#6@X[%*2&3I(.AZ@!.(.A1/P&`E@ K,5@):/, 26A11B5X@XA1/ %N2&3!Z,./01%N@!(5A&N %5%'(5 #6@!p /4 A1%IKA145A&%*/0O(.[` u @!(5A& /45AO%!(5mV%'bVA&%*4 "%@)(5q.(.AA&%I@)'I(./"f'#6R(5A 4A&%5%A6%1BVP'pkP,5A+p#&PA #6A&4PA+(.A)%A1K%A13-45PZ@!%*q,5@)j.q(.A,5@!A&4Pm45m/K%/@! 4 ,5%*(5#&4 #&A&4P%*213Z(.AG@!A&%*#6l5%/45AO#6'(.TA&@<%A&'2&3LX,5@!A&4P45@)455#&%[%[(.P => Residuals vs Fitted Normal Q−Q plot 182 4 2 0 −2 1.0 0.0 −1.0 64 −1.0 0.0 0.5 1.0 −3 −2 −1 0 1 2 Fitted values Theoretical Quantiles Scale−Location plot Cook’s distance plot 3 2.0 182 64 0.0 0.5 1.0 1.5 Cook’s distance 95 −2.0 −1.0 0.0 0.5 1.0 182 0.00 0.02 0.04 0.06 0.08 Residuals 95 64 −2.0 Standardized residuals Standardized residuals 182 95 173 64 0 50 Fitted values 100 150 200 250 Obs. number Y$K,5%* > ¦5 FG%*b #&R(.AL(.'K45D'#6X %*IX@!.(.A1/ `1J*4 / %-^ ` A&/jAOq"4 3 ,5@) %A&'213p@I,5d(5/%A6*ZA4 3pA1@!!#6@X /45"A&%/%!@)'4[(5 c5%A %.#6AO c5DK#&£%AO4[bVA&SAl @,5 (.A@!A&%*#6l %£45P-A1#&(.Pq(.[A1dj.AO@)/%AO&` Q^ A&4P*4P[B A)m5%[DP/m(.m@!.(.A1/mAOg*f''#6q"%L@X /AO@!A&4PA-q5%A1(.'2&3q(5A)V/%AOZ(.A+#64 #6A14P%*2&3(5A @!A&%*#6l5%XX %/%^(.)#&@!5%/@!A&4PX(.PR[A1dj.AOZ#6@i! /'#&2&3IA&@i545Ag@!A&4P!@Ic5/A14P,(5A l (.A-5l5c5#16B$ @X.(.A1/ #6@ mV%'bVA&%*4 "%@)(5",54 #&/4 m@I,5dpcA&@q`pj.'gA&@ /,[26AO A&@ kP,5ALL4 A1#6AOb%I*@Ic[1@i@!.(. #&%\!A1#&)( )V%bVA&4 (.A&A&4[(.A&4PA`^Q^AOgA#&[B54 3!A&@! #6@! 4."A&%/%m£%*4 "%@)2&3¢D/@) £ %/%q(. @X&.(.(.A ? jH8TjB:A A1@!qkP,5A @)%,5@ #6, (5(.A1[AO#6'NAA1VA1%@!P%A1/014 (.p,5@)%A&K%A13m@l d/5'5BT[!IAO#1'X(.Aq(.d"A1%A14PA1 V%bVA&'N4 (.A&A&4[(.A&4PAOG[.(.A1@ %AOk, A&%A&%S(./"A&%A&4PA1S%*4."%@)2&A1NA!-#&@! %*213)(.A!#6A #6A&4PAO (.AZ%A&K%AO3L.(.ALA&%^(./"f#&/` 5! > : 1 8) 1F+541F. /-1 :*6=6=1 #, (: S N \, 4 (.+5%[DP/(5+4[bALI@X /AO@!A&4PAI#&#&,5'%\-@)K4 d, (.AI( -#&2&3XA14P%AL,5@ % .( AV%'bVA11B @!6.(. 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N ( 2_8 5 . 7 * /.6/-96 ( 4 %% * 2.:a W T8 @! %4 (.A1A1L/@!dA1L#&@ Pc.(.P[A1m(5%/c ,521345%@)A)qA&%% (.%*3q(.p#6A H #6A&4PAL(.AL%A&K%A13I#1'#6,5'(5XA&+@!.(.A&)/45AO%L V ¦5` ¦P;=IA > ;5` '¦ > "B.A&%*#6A1c[A1@XPNkP,5A)(./"A&%A&4 21 X[AOk, A&4 BW@ #6@!IA1kP,5A14 (./"A&%A&4 21-A14%AX-@!AO(.4 +AOg/@)(5+A&c*g%pAIq#6A&H #&/A14A!%/K/4 #&'#6, (.¢a>; 5B ' V $P¦ 6` gm#&4PAO#6A![%kP,5AXA1A+#&4g, 4m(.A)(5(.P:bqA14 (.A+ 5%A&@!'(.Z@!.(.A1/Z/4 A1%AN4[3ZA1A&%*@!$A&4[#64P%%@,5/Z(./"A&%A&4[2&GA&4P%AN(.d"A1%A14PA1@X&.(.P (.AZAOg/@)213[` @i45A&45,5@))(5R%AO@!%*KA&4 TA&4[#64P%@XPR#6A #&/A14PA1N(5AL%A1K%A13L@!A&45%AOR,qK, N!5B (.AZ@!.(.+kP,5A!5DAOAZ4,5'm H : β = 0:.(.AA&%N%AggA&/(55`T¤@!R@!Pg%%^K%X#6@!!A&%'I AOgAL(.A[A1%@I,.26A1R[%*AOg*I 0/DA1AZ4P, ! 64#- 93.-3/:*9 !), :164#-#`** # a ( 2/ ( .:* $# 1 # 46 % 64 ( # a <32 2 2 2 9 ( /+ % /21 $ ∼ , -1 a &$ :3/:* 9 40 35 30 25 20 15 Coeficiente de regressão 10 5 N Q LK Y$/K,5%*S";. #S'K%@)cj.5/N %*I!(.'%/c5, 213)(.N#&A #&/A14A1N(.AZ%A&K%AO3 |O|~ ~a{ ` 1500 1000 0 500 Frequência 2000 2500 9 (.'g%c5,5'2&3!(5N#6A #6A&4PAON(.AZ%A&K%A13LA&%@,.*(.PR[.(.ALA&%Rc A1%V(54[XY$K,5%* " > ` −20 −10 0 10 20 30 Coeficientes de regressão Y$K,5%*S" > C^'K%@) %X!(.'g%c5,5'2&3!(5N#6A #6A&4PAON(.AZ%A&K%A13LA&%@,.*(.P&` u V/%R(5AZ5%c c /( (.AG[.(.ALA&%^#1'#6,5'(5X#&@! ! % 1 # : %Z#, :14 ! , 14:28 , :14 2 ^Q A145,5@ V%c ,. 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