Moreno classicolineare
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Xs= = =• -- -0 =7=E TOMzXzp^2= MzxzpnztuMzxzpaatu )E' E ) ('(sorrrveuedoquadrateelevated at e =: ximzlmzxzpztpiximz JIz Mzxzpnz' O''T O' += +t t- J 04×2=0 ↳J O '' RssuMs- Xiu )( Xiu Oo 'xz=o-- --292R2 Paz Ximzxzpz' ' ' 20TRSSUXz RSSRSSR MIX RSSRRSSURSSR= = u- -↳ diSOMMA QADRATIquiuoei ZORSS Rau -RSS RR2RZR Z2 =32eR= u R=u- -- -TSS TSS"vediaeuo P2 :( distort2 non :::::÷:i:÷!a..awmuwa" ) "2) ( di'aovcp ' Xz ho distributeC Xz aesuoliMz se VentoNOTO= Rigoletto wre moruuewueehteau veru : ..im#:.:..niir.:.nxiiii. ¥ . 2)( (( )) GXG GXG2x" ' Ximzxzpz' X'p:pHo 2=0 diveuteSotto )cav-[ ZuMA- " Xzfsz XIG' 'P2 RSSR RSSRSSRSS Xz Me )= u-ur - ~- iudipewdeutii.ws/,qnF2G u XtraXiWan e wzrn nseXieRossy nisepeueiuo one n - RSS RSSr u a- test F' restriziouidiTEST G porteF Sotto:: numeroG. an T n--ITRSS u k diai- peroueetri Munumeroe :re-G jzCOMMENT :) negativeesseTest aalcoueto peutF ' GO' >percherez o essee Rssumore soeu -test di -2) direstrizioniG dididi sottopouioeuo pereueetri no parameter MRMuone- no-m = ia -- in(3) in ) eguiueleuteiueueese la di e-pendentueriom.ve -Fmu siYbe Scrivernessae Mr ouora eMio-↳termini restrizioniomageueeR2di : inbe-perche TSS e-TSSTssu espresso= RthG FG termini chedella dipwerne - -, ,ke moduliHesse iz- pere)Ice( Raul kz - - )R'4) "Slopestest "Perf (zero test o=per ttpkxtu Ut TpzxtztYt 1-pa 2Mu +=: --. . . . .. ..IT "intercut " slopes@ restiziouipj OHo prepas k- oruogeueeI: .= -- - --- . . .... 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Xianµq" " "" """"" " """ """" ° " "" " ,-O RZATya -'X critias2)di tanto Cprossimopili' "ite pili granite RZA-RZA -T 'Sere ' " 'T 'greuideguiautoe seraaper - ., )("" tanto instatistics deiimportance iRZA -pili "uuaggiore XzXzquarto prelude sore MAregressor eSera- ,I try82-1×282XzMA : = EVino contributeortogoudei contributiveilXz e- XzRZA di se R'Xz > 'che 'Serio solooeuvre " ellorae gourde= a ,,statisticianuiodorilevautel significative rifiuteteHoin :p deveguiuoei esseeine 2=0 re,d influenzaE X2e-=3 R'di diee-Springer toXztopper to a neuro a nonSPEUHCAZIONE AREDEL CLASSICOMOAEUOERRATA LINEueriemici espciaetive statism rilevauti-disierre* esau commentrilevautivariabilisincursion espriaetiveai* e non )(QUADRATMINI RLSST RISTRETIINATORI VIN COLANNU o" )2Xfires dei( -) ' riverl di() Y vetoA R forme XlACRX 'Rp A e-XX liedove ante Irt r non= - ,, ,, ,-A di Lagrangedance formulaAINU DUMMYVARI Ytinterdi Utpztpzxt +esse =modem : { economiccri siTEO se--Binda "variance tmum : te economic= , boomse ÷#f) 2 DtAdditive OMadam ----1ps Dt=2+13 Dt Utpztpzxt BzIt' += p* ,** e. u=p + .+• .( 3) P2Pz UtPstDt Yt Xt2 p +se +: -- Xt-/nouipciaetivoModerno ^)Yt Dt=Op2tpzXttp4DtXt UtYt 1--- -I Dt 2utputit'ist o -se =p ++- . -- PI)XttUtP2 tlpztpqYtse Dt =3 -- Xt-¥mistmodulo )'Yt Dt+13Yt Dt tpfbtxtpztpzxt Ut O-= + --a-pupsIt Dtpzxttutpi'Dt o z-se - -- -- )-1ps ) ( Xt UtpipaYt -1psDt paIse ++-- xt-comment perouuetripa.pa.ps.pe- utilizzauidopossible alternativestinuere i strategiesE ha* sempre )Criss' economicsYt tf (Ut-122La Xt Dtmo t- o: -- -economicsbaarn 2)tf (82+82 XtYt Ut DtMs +: = -- di miStirn Aimee P2 12,13 Sto82 ftequivoule deldi ta modelo→ La a Mo MsOLS e eare e econ a ,RSSRSS Rsss+* =-10mis o 't aideistomata ai regressiondi lineartest perimeter modemEAPPLICATION : unttpkxtnpztpzxtzYt T2-1Mo : -: -. . .. .- . ,Yt tVs 8zXtzt 8uXtk ,TtHMz 2= Tt: ++ -. . - .. .,restrizieui8kHo Pz pre
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Modello OLS schema
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Schema
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Schema di Econometria in cinese e italiano
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Schema degli appunti presi in aula di Econometria