# Regression - (Lina-‘3 u Lamas...

This preview shows pages 1–12. Sign up to view the full content.

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document
This is the end of the preview. Sign up to access the rest of the document.

Unformatted text preview: (Lina-‘3 u Lamas}: 3%d&?15 @Eﬁrtﬁ‘hx‘un u-_1 anﬁmt (Ewartﬁ-‘i-{Gn W‘hu-‘k xs‘; JFMQ, BKSJE Mme, *Mmll' an BE araum \$31"? rt?riiﬁh*\n‘ﬁ- WE. thmﬁréanikx? EK¥UiEn Ranc‘ﬁ 1 53\$ fannwl ’QGSS‘BKQ inns. :rmk Car; ‘34:: 'g-A“ in:- :9.“ gym. L2,}? Putz; Equooﬁnom ru‘ﬁ- Jﬂxﬁ Rink 5?. 3%: ﬂ¢+a;% Thin S51?“- Eadﬁ 1L- '3' gr I 3 ‘ 11:1} "u—a h *V‘Q. QCtt’h‘Lgt—Ea “Q‘JQ' D V: *J'h Jﬁx ‘ n t \1 _ h - a? “‘1 ‘3 Y- = aqsrqnb; ‘ The. ﬁﬁﬁeﬁnﬂ 1. Balk-x;- {an 36%? QLJ‘tJﬁLK Car‘s-5.9. *”1£,hta.34ri&jaﬁajﬁrﬁk3 Vﬁkda “1-” ﬁnal H-‘v'xQ. qnt'ihct'mcﬁbltcg . 4K waxaa \C: 1.5 mined» WE rimaw‘ﬂl CELTT‘C'T" cﬂiun‘ajrlc’ﬁ‘) ant? ﬂﬁﬂn¥Ecg Q‘. 1. R. 6": \(hﬁxih ‘- x _ = ~< ~aaamx-u I I 1 i 1‘11 ----.I n- Hm “ ‘ ~ 1 Btak EH1; m we. Ltﬁk— Beuda'l‘ﬁfa (sum up: wk. akin 1mm Rana mmLuk-x. Jig-ht. 54m Dt‘r Wk Saga: curt—'5 QR— war .5124; Laﬁwbnﬁ a O- wmxmuma’ihtﬂﬂra P'L a. 150% n “L 2 es . r- ‘l \‘1 (Ari. LM=5~LH 3H3 bynthLi Qﬁah-ixt _ thn ﬁrMQ, 3.93..“ 'ix-S Bqaaug. 1 \$11: 0,. “uni Wrxl wtﬂ amt! LcénLthl'II-EAE'L Wt 54% n‘a- Wt. 5%Ja;:\$ (lumhnwa. Lia-5*- Ea‘lraai'tg L1 4"- Q! '- d.‘-L\-\.1J-1' "I. \n “at Lind" ‘3'un “15 gtnﬁﬁu *5 W“!— ﬁﬂ‘ﬁ. wkusx: Lat'a—‘cxmxtn‘ra Ct, 35:1, Smihh‘x—A) n Raﬁ-EEK. £6155 {XE-rm”; .1": ‘L 1 h {1. {'JH F13OL‘ i"'l :1. 1“ arm“ 5 53.. “til EEKE—r’ : 'L __‘H_F H |‘{: | 1w. r m» T—h—‘Tﬂ—H— t ' c: o a o l '4 "3.. I '1 3 L 3 L1 {1:- ‘1 7‘ ‘3 C1 15 S u‘ ‘5 IE? 1.5;. "3‘ ‘5' 5:: H3, :3 S Gan ‘4; ram; - .IS ‘Qﬁ‘u 3:30am 2 “‘3 {315+- 16“ 1 ‘5 ‘aﬂ: *BDCK‘ 1&3 ____.___________ 3 '2, ‘ 3 ﬁg“— L’IB 3:) = i 1' (3.1 _ I“: HE} : If} to — I 1. I '2. 50 IC’ 35" 1G 3:, 'un'li coxr'xT\-1 SK mkxﬁarptﬁ- (:rxuiﬁ. a. 59.3: qu; am'Va. Q'N-E. LiI’Wﬁ‘! Wed EQCLHPD‘Y‘ *MQ. D‘Hgaqirdté ﬂaxg—qhg "ML E:=‘{:‘T I;le : 1 J----|“ Th1 *“E‘rﬁ-‘k datniﬁxan nn "r‘ﬁ‘i \$11.5? ax? ‘i-*‘-ha~\¢“—~5 Mtaaﬁr‘ﬁ' -—.-—-——._._... ‘i 3;“ #322"? E m- wmn x: is. u I“ If. I “AI .2 . r' 4- ﬂ A II" 1 rd “" r‘ .1:- I I I I I A“ ,r" .11 7 I I r... quail: mum-mt”) 5dr“ 51:."— 5;ch.?'{.S *1. + A ‘* m L {Uni-Hmm mi “Ci-H5“; €51 " E *1. "(v ENE.) lilaeis‘s. um. ‘59“ nﬁr SET; '3th (Bi-gnaw {I}? U arxmgkg n ‘) _ _ _ L q 55* * “Eu—"~11 Tngﬁ 3;.“ «Jr Ewaﬂxiﬁ Cﬂﬁlrxmd‘hﬁﬁ mi.“ W15. Q‘ﬁkM-‘t’Xﬁj '5 5 T = 1 E; EE‘EL‘t-i ft- 5.31 = SET—ESE '- t'E—‘t-‘s : Us)“. Haa‘ﬁ, WW... rtﬁtﬁdcﬂ m {arch-x “(q niang maﬁa? Wt rtjrthLc-n Hm'ﬁ. 15 (ii. :H-{q_:[-;_ ) killLI—-*lﬂ “E‘LR‘DFQ' 55E ‘5 *1 mﬁanrE 0‘:- W'K *a‘r‘i‘ “5““")“‘°A m *{hq‘ 5.1.3: u‘ir ~{. 'i ﬂax-#13 ﬁtC—Edrta wx‘ﬁr‘n ray-inabir ‘1’?“ i I: Put Xias‘v hiﬁtﬂt? rt%raahuun \mﬁt. Witt X3 CA. 5k [ah-xix Lﬂﬁ* ViadLLVKD-‘N 1” WW *Gmﬁix unliﬂxhgh ;. won‘t-'3 o—‘gua'ﬁ- W‘Q- {*1me M”— Qﬁacn EET +u SSE. 35—7 :1 536 " ‘3) 11.1 h In"I __ a 1“: Br 9 xi“ ., 1".1I.—-—,n gn‘r WK \$55ka1 ~a_, yam- Qa- ‘E‘c PEGHEJFE’. :ﬁr M=-‘>-‘* “(5”‘5 WE thcvtsmcn \‘ntn‘q’ "E’iuir‘ hi "I... -_ ’L __ . _. T 1 ‘- hE‘T"55"-a L?13".~J SET ‘5 ST Cag‘T-SrLLxﬁbst L11 c§_{:\rﬁh‘\n miru'ﬁ'ﬂ T: ‘55};- W wt thﬂk ﬂaky-an {unﬁntuEn-‘ﬁ- “BET 'E. r‘ wa Lgi‘ktﬂn Janka caL'x—Erxmtﬁr £2131- \$t¥irm‘anEK—LDA in lulu-xi“. 1731' Eduadi quckm?\t!’ 'L_ __ .. T - SEx~S€L L tgﬁﬁkqx __h ﬂaqaci \$31" 18> : (:39? "L5; Oat-61“ CJQE-g—ktdxtﬂ-lr \$2.379qu TE%R“‘L35‘G n } Quack-Mat mim‘SJTQ DET— lynﬁ-ﬂx \bex ou*n0r\ Ln. Jﬁrx‘t. k'j Cbxﬁif‘k. :_ 5 ST alrﬁkniﬁahg a _ 1. EWKQMQ ﬂ. 3"! in ML "Qt—‘LJLQJ'S {hernia-eke; Frﬁrirtf— Pt%¢i—S§kﬂn J OLA Equqxd akin-\r mic-Aar‘ﬁ 05:— dﬂrxﬁﬂxﬂn m Mai dam Mao» we, ragrmaamn \m-L H5 \$¥Am£ﬂfﬂ erwrmr‘ :35; WE; GSﬁ-xnmﬁﬁ BEE n-‘l A Far 0: ’W-‘iujr ng"? J:--€.-. i}; 2““ ““*L""n r .I J .IN *1“)- '~'- Go’rﬂ‘i. 7- 1?) _ r“ :1 1'" 2"} "- ﬂ _._.1_.-_H-__ I. ~ —. 1 {j t J 53E '— £3 433% __ I n_ F‘ L Zi‘ir‘ﬂ '"' EVE-7H ~— SET 1 . SET 7- C} “'2' FIeﬂL‘ﬁﬁ'lf-‘CQN ﬁq‘ﬁrﬁakmn "(ha \ ' Eﬂb‘r EqI-Jﬁx'i‘ﬁ'ﬂ Ok‘lqah‘Et-Qﬁrxtu KEN-erR x5 I“. - J i - \i - Cu. Wax mg} whtfﬁ. 01.: (1 J HICKL Cv-‘E M1an a 551- Weﬁ Equo‘wia‘ Tigiédmx‘aﬁ “x \' T‘xn‘NILQ. A H m -= * HI} in L (Y:"‘YE )1- Qﬂiqﬁiqﬁ" :11. 1. ﬁ. :3 ﬂ 1m L a E [Y;“ (CHE-CHE" +61 {1”} alﬁ"){1L :11 L I. W‘L :- taJ‘a‘t-xnﬁlr Lak§r¥\Ln1n}\-3 gqu‘qL gall-\$23 {1 Ci, ‘q— 1/ .. +i‘2,}i:3cg‘ +LE\$1LECQL = Ex. 5.1“) [1 T 1. / x“;- ° <Hﬁ>®+<iﬁm1 = Em; (SKI-'36} 3’ / '/ ~ * WNW *(Wum = 2me #hi \$4M ﬂqi5ﬁkLQJx-‘an3 a.“ LIL.“qu RELEtéﬁQSi-LQH “Liﬁimfomﬂ-xam ax}. 133.; 'L Han‘hn Lear“ ﬁikmxn'a KSM‘?-\3 1-1:?" Qaﬁ'ﬁxa'lf" Jﬁxi 11.:ioninlrxmﬁk. hqdﬁi {1&1hﬁ '1'"?! xﬁ‘i“‘~hﬂ%\3ﬁ Liar 1:" lin‘ﬁ 1"} rﬁtﬁa+ﬂ‘¥ w‘n QE‘E Q2. =3 aﬂéiﬂqx =5 {11% 151131 :Dn‘nﬂﬁi— 5h Saltdt‘akxcm- cé'bamacJ'I-n- Tklr'h {ﬁn—35.5“: n _ > it. ‘bﬁ‘t -. ‘{ w*i[1-+E]=:*§Clﬂ 0.1K 2‘. _<=."r E1}. ~ ‘ UL—_. “i” x 3 E=ﬂo+alu E1; 2 ,w :1”— , Q5 0,. up?“ CL. :j-x-‘ét'amaa'r 'éﬁsLer gamma -' {—- i,*-"=*éﬁ'wrf-‘aﬁf. _ I I I I :u. :"_;.-.u..'.'_ FEW-V? _u_.:_»¢€_ar q; 1.. \ug‘i '~'_-...5kaﬁg 75- . a“) E‘- \=%Q*bq 1 an Fa Ell] EGN 342G Exam 2 Name SHDW ALL WORK! Problem 1 (35 pta) For the table of data paints given below - 1 * ‘b T. wow: -. a: L:— mm naaoz alaeea chew? 1.0‘11‘1' 5-11G‘f A) Fit a newer equation medal y = rec" Bi-Find—the—tetal—sum‘ei‘equares-Sﬁ-T- C) Calculate SSE = Xvi—‘17,): te the data in the table. You mayr use the remaining eelumna in the table te help salve the prehlem. Reund all answers tn 4 places after the decimal point. E“: E = Cam 4::ka {A “SEE = 5.11.13”; “ﬂat ta; :1; : ‘Za- I ELL’ FL : Lola'l‘ 2Q.” 'C'LHll L‘lQa-¥~ tsiﬁﬂtﬂtk: {D‘Itcbeg iﬂaﬂe‘tﬂa m. aaoa at : 1.‘3‘i‘3"l 1. :-3~qqt'l?} .45“: Ci.= 1:1 -t,G7__c:-‘-I.1lu 1‘2): Cu = HD.‘1‘H& Faﬂﬁ EGN 342G Exam 2 Name SHDW ALL WDRK! Problem 2 (35 pts) A Least Squares Line was ﬁt through the 4 data points in the table below. The Sum of the squares of the errors, SSE = 2N4. a} Find the missing value for 3);. 1:) Find the equation of the Least Squares Line. You mag.f use the remaining columns in the table to help solve the problem. Round all answers to 4 places after the decimal point. HGD+EF:GX:Z‘{' a . t t‘l; ‘22s: as 4: Efﬁe“ : E smi- L 2461.: 11f t _ 1. 0139‘} sweet = as s L_ ‘ Kid 1‘41 ,‘i 4 i 1 \$3.; xvi—L Li "l _ 1+ b\ {319: 5ft. : str- 2: ? *f h n ‘i’; " 15+”; ‘( = assets Ll. ||\ ‘1’ 1 1+ 11 u} ...
View Full Document

## This note was uploaded on 06/09/2011 for the course EGM 4320 taught by Professor Klee during the Spring '11 term at University of Central Florida.

### Page1 / 12

Regression - (Lina-‘3 u Lamas...

This preview shows document pages 1 - 12. Sign up to view the full document.

View Full Document
Ask a homework question - tutors are online