Logistic regression: mienzaniso uye nzira

и дискриминантного анализа используются тогда, когда необходимо четко дифференцировать респондентов по целевым категориям. Logistic regression uye discriminant pachisara anoshandiswa kana zvakakodzera kuti zvakajeka kusiyana vacho zvakanangwa mhando. Uyezve, mapoka aya rimwe univariate parameter mumatunhu. а также выясним, для чего она нужна. Chimbofunga mimwe akadzama logistic regression womuenzaniso, uyewo kuziva chii chaiva kuti.

tsananguro

, может выступать классификация респондентов по группам покупающих и не покупающих горчицу. Muenzaniso dambudziko iri mhinduro iyo inoshandiswa logistic regression, angava kupatsanura pane kubudikidza boka vachitenga uye kwete kutenga wetsanga. The Kusiyanisa rinoitwa maererano socio-wevanotungamirira maitiro. Izvi zvinosanganisira, kunyanya zvinosanganisira zera, munhui, nhamba dzemhuri, mari uye zvichingodaro. Pane nzira kusiyanisa uye shanduka mukushanda. Yokupedzisira inofananidzira kubaya muchikwata icho, chokwadi, tinofanira kugovera vacho.

nuances

, значительно уже, чем для дискриминантного анализа. Zvinofanira akati kuti kuwanda nyaya apo vakashandisa regression logistics, akamanikana zvikuru kupfuura discriminant kuongorora. Panyaya iyi, kushandiswa yokupedzisira sezvo nzira inoshanda kuti Kusiyanisa anonzi zvakawanda havo. Uyezve, nyanzvi dzinorumbidza achitanga kupatsanura kudzidza discriminative kuongorora. Uye chete kana chokwadi kuti zvingatarisirwa kushandiswa logistic regression. faniro uyu anokonzerwa zvinoverengeka. используется при наличии четкого представления о типе независимых и зависимых переменных. Logistic regression rinoshandiswa kana paine nganyatsozivi norudzi kuzvimirira uye nemataundi variables. Nokudaro, akasarudza mumwe 3 zvichibvira maitirwo ezvinhu. Kana discriminant pachisara nevatsvakurudzi anogara nezvinhu kunofambira mberi oparesheni. Raisanganisira imwe zvaanoda uye wandei akazvimirira categorical variables pamwe pamwero upi mhando.

mhando

, состоит в определении вероятности того, что определенный респондент будет отнесен к той или иной группе. Objective Statistical tsvakurudzo, iyo anoshandisa logistic regression, ndiko kuona mikana kuti imwe respondent ichapiwa imwe boka. Kusiyanisa rinoitwa maererano zvimwe parameters. In tsika, maererano netsika imwe kana kupfuura akazvimirira zvinhu zvinogona Classified muzvikwata maviri vakabvunzurudzwa. . Muchiitiko chino, pane binary logistic regression. Akadonongodza parameters angashandiswa ari yavaive kuboka mukuru maviri. Mumamiriro ezvinhu akadaro pane multinomial logistic regression. The zvichiguma boka akaratidza kwevari munhu shanduka.

muenzaniso

Ngatitii pane mhinduro vacho 'kuti mubvunzo wokuti ivo vanofarira mukana kuwana nyika Mafuro Moscow. Panyaya iyi, zvokusarudza zviripo "kwete" uye "hungu." Tinofanira kuziva chii zvingatema koshesa rokuchinja chisarudzo yemakambani vatengi. Nokuti respondent ichi mibvunzo yabvunzwa pamusoro kwezvivako yendima, daro guru, nyika nharaunda, kuvapo / kusavapo zvivako dzinogarwa uye zvichingodaro. Kushandisa binary regression, inogona akaparadzirwa mumapoka maviri vakabvunzurudzwa. Yokutanga vanosanganisira vaya vanofarira rokutenga - zvinogona vatengi, uye wechipiri, ukuwo, avo vasiri kufarira pakadaro. Nokuti mumwe respondent, mukuwedzera, zvichakurudzira vakaverenga ndingangokuvara basa rimwe muchikwata kana mumwe.

okufananidza unhu

Kusiyana embodiments maviri pamusoro kunoratidzwa yakasiyana nhamba uye mhando mapoka zvaanoda uye akazvimirira variables. Mune binary regression Somuenzaniso, akadzidza kutsamira dichotomous chinhu kubva mumwe kana kupfuura akazvimirira ezvinhu. Panyaya iyi, yokupedzisira anogona kuva chero mhando akamboona. Multinomial regression ichaongororwa pamusoro shanduro kupatsanura munhu mhando. Rinoreva kuti zvaanoda shanduka kuti anopfuura 2 mapoka. Independent zvinhu zvinofanira kuva kana ane ordinal kana chezita akamboona.

Logistic Regression mu spss

The Statistical pasuru 11-12, akatanga itsva shanduro ongororo - kutevedzana. Nzira iri rinoshandiswa kana zvaanoda chinhu chokuita chete zita (ordinal) akamboona. Panyaya iyi yakazvimirira variables akasarudza imwe mhando. Vanofanira kunge ordinal kana chezita. Kupatsanura mu Mapoka akawanda anonzi zvikuru-chinja. Nzira iyi inogona kushandiswa muzvidzidzo zvose kuti vaishandisa logistic regression. , однако, можно только с помощью всех трех приемов. Zvisinei, Unganatsiridza muenzaniso, zvinogoneka chete nokushandisa nzira zvose zvitatu.

ordinal kupatsanura

Zvinonzi kwokutanga Statistical pasuru haina rwakapa mukana kuita chaiwo kushandiswa kuongorora kuti nemataundi zvinhu ane ordinal akamboona. For variables zvose, pamwe nhamba mapoka anopfuura 2 vaishandisa multinomial chisarudzo. Ivepo tichishandisa ichangopfuura kutevedzana ongororo ine zvakawanda zvinhu. Ivo kufunga chaizvo pamusoro pakafunuka izvozvo. часто не рассматривается как отдельный прием. Zvichakadaro, mune methodological emirayiridzo ordinal logistic regression anowanzotanga asina kubatwa somunhu yoga womuchato. Chikonzero ndechokuti sezvinotevera: Serial pachisara hazvina kuchikosha zvakanakira pamusoro multinomial. The mutsvakurudzi anogona kushandisa ekupedzisira pamberi uye ordinal, uye chezita nemataundi shanduka. Mukuita kudaro, kupatsanura muitiro anenge indistinguishable nepedyo. Izvi zvinoreva kuti kunhaka murayiro kuongorora haungavhenekeri chero matambudziko.

Kuongororwa zvaungasarudza

Funga nyore nyaya - a binary regression. Somuenzaniso, mune nedanho yokutengesa yokutsvakurudza inofungidzirwa kudiwa vakapedza kudzidza zvimwe yunivhesiti yemo. In remibvunzo, vakabvunzurudzwa pavakabvunzwa mibvunzo, kusanganisira:

1. Uri kushanda? (QL).
2. Tsanangurai chikoro gore (Q 21).
3. Chii avhareji mamakisi ari nzira yokubudisa (Aver).
4. Gender (q22).

позволит оценить воздействие независимых факторов aver, q 21 и q 22 на переменную ql. Logistic regression kuchaita woongorora mugumisiro kuzvimirira zvinoita Aver, Q 21 uye Q 22 panguva shanduka QL. Zvichitaurwa zviri nyore, chinangwa kuongorora ndiko kuona zvichida basa vakapedza kudzidza pahwaro mashoko musango, pakupera kwegore, uye paavhareji zvibozwa.

Logistic Regression

Kuisa parameters vachishandisa binary regression, shandisa Analyze►Regression►Binary Logistic Muterere. Mune Logistic Regression kusarudza ari kuruboshwe mazita anowanikwa variables kuzvimiririra chinhu. Ivo ndiyo QL. shanduka ichi chinofanira kuiswa kuzvimiririra mumunda. Pashure paizvozvo, unofanira kupinda nzvimbo Covariates kuzvimirira zvinhu - Q 21, Q 22, Aver. Zvino unofanira kusarudza nzira kusanganisira vari kuongorora. Kana uwandu kuzvimirira zvinhu vanopfuura 2, havashandisi nzira mawa kwokubatsira ose variables, izvo yakaiswa default, uye danho nedanho. Kupfuura nzira yakakurumbira anonzi Kumashure: Zvakanaka lr. Uchishandisa Select bhatani, haugoni kusanganisira kudzidza zvose vakabvunzurudzwa, uye chete yakananga chipfuro muchikwata.

Jekesai Categorical Variables

Categorical bhatani kushandisa nyaya apo mumwe variables yavose sezvavakatarirwa nokuwanda Mapato dzinopfuura 2. Pakadaro, Jekesai Categorical Variables hwindo iri Categorical Covariates yemapurisa wakaiswa chete nezvechisarudzo yakadaro. In muenzaniso uyu, kwakadaro shanduka chisipo. Pashure paizvozvo donhwe-pasi list, sarudza kuti chinhu kusiyana kutsauka uye tinya Change bhatani. Somugumisiro, vamwe nemataundi variables chichange yakawanikwa kubva nechimwe yavose sezvavakatarirwa chinhu. nhamba yavo unoenderana nokuwanda yepakutanga Pakuurayiwa Mapato.

Save New Variables

Shandisai Save bhatani iri huru yokudzidza unoiswa chokusika itsva pazviruva nhaurirano bhokisi. Vachataura ane nhamba dzaona mu nedanho regression. Zvikurukuru, zvinokwanisika kusika variables kuti kusarudza:

1. Kuva nechimwe chikamu kupatsanura (Groupmembership).
2. The ndingangokuvara classifying vakabvunzurudzwa muboka neimwe yokudzidza (fungidziro).

Kana tichishandisa Options bhatani mutsvakurudzi haagamuchiri chinhu mikana inokosha. Saka, zvinogona kungotariswa. Pashure vachisundira "OK" bhatani iri huru hwindo achapiwa kuratidzwa ongororo zvabuda.

Quality kudzora logistic regression adequacy

Funga tafura Omnibus Testsof Model Coefficients. Hunoratidza migumisiro kuongorora kunaka rakada womuenzaniso. Nokuti chokuti incremental nezvechisarudzo, unofanira kuona migumisiro rokupedzisira Danho (Step2) yakatogadzirwa. Aizopiwa yakanaka mugumisiro, umo dzakaonekwa kuwedzera Chi-mativi indekisi iri yezwi danho panguva anokudzwa kukosha (sig. <0,05). The chatingatevedzera muenzaniso zvinofungidzirwa mu Model mutsetse. Kana iwe tora munhu akaipa ukoshi, asi haina sechinhu chinokosha kana zvinonakisa mukuru materiality womuenzaniso, vokupedzisira anogona kunzi kushanda kushandisika.

matafura

Model Summary chinopa yera zvachose vakapararira indekisi, iyo inorondedzera kuvakwa womuenzaniso (mufananidzo R Square). Zvinokurudzirwa kushandisa ukoshi Nagelker. Positive chakarurama anogona kunzi ari parameter Nagelkerke R Square, kana zviri kupfuura 0.50. Pashure dzinoongororwa migumisiro kupatsanura iyo zviratidzi chairo yomumwe kana mumwe chikamu kubva pakudzidza vari zvichienzaniswa nevaya kwazvakaitwa regression womuenzaniso. Nokuti ichi chinangwa tafura kupatsanura Table. Zvinoita here kuti uswedere vafunga pamusoro Kururama Kusiyanisa nerimwe boka iri mubvunzo. . Zvinotevera tafura runoita kuwana statistically chinokosha akazvimirira zvinhu akapinda kuongorora uyewo chakaita asiri kwezvipimo logistic regression. Pahwaro zviratidzo izvi anogona kufanotaura chavanopinda mumwe respondent ari muenzaniso kune imwe boka. New variables anogona kupindwa vachishandisa Save bhatani. Vachange ane ruzivo pamusoro nhengo imwe kupatsanura chikamu (Predictedcategory) uye mukana unyorwe mumapoka aya (zvafanotaurwa fungidziro nhengo). Pashure vachisundira "OK" bhatani iri huru hwindo ngapaonekwe Multinomial Logistic Regression kukarukureta zvabuda.

tafura yokutanga, iyo ine zviratidzo zvinokosha kuti muongorori, - Model Fitting Information. A mukuru pamwero Statistical kukosha ichanongedza kune yepamusoro uye suitability tishandise mienzaniso kugadzirisa matambudziko hunobatsira. Chimwe tafura anokosha Pseudo R-Square. Kunoitawo kuti kufungidzira kuwanda yose makakava pakati zvaanoda chinhu, izvo anokonzerwa rakazvimirira variables vakasarudzwa kuti ongororo. Maererano Table zvingangoratidza Ratio Miedzo inogona vafunga pamusoro Statistical kukosha yokupedzisira. The Parameter Estimates vanoratidza non-kwezvipimo coefficients. Kushandiswa pakuvaka mukana wokuti vanhu vanga. Uyezve, mumwe nomumwe mubatanidzwa variables akatsunga kuti Statistical kukosha kukanganisa kwavo kuzvimiririra chinhu. Zvichakadai, kutsvakurudza musika Kazhinji zvakakosha kusiyanisa pakati Mapato pane kwete vachiravana, asi sezvo chikamu chipfuro boka. Nokuda kwaizvozvi tafura Observedand zvakafanotaurwa Frequencies.

kushanda

Vaiona nzira ongororo iri kushandiswa mubasa vaitenga. Muna 1991, sigmoid logistic regression chakarurama yakazokudziridzwa. Iye nyore kushandisa uye vakarongeka mudziyo anogona kushandiswa chokufungidzira zvichida mitengo "overheating" zvavo. Chakarurama inopiwa iri girafu ari muchimiro mugero inoumbwa misara miviri kuripa mu zvakafanana. Vakabvisa imwe kure yakaenzana kubva muitiro. Upamhi mukoridho kuchaita kungovimba pamusoro timeframe. The chakarurama rinoshandiswa kana tichishanda anenge ose kunobatsira - kubva Currency vaviri vaviri kuti zvinokosha simbi.

In tsika, yakabereka 2 anokosha nzira kuti kushandiswa nounenzwi kwetsika uye Kuchinja. Mukupera Kana muzvinashawo ichanyanya pamusoro rinomutsa mutengo kuchinja mukati chiteshi. On iri rinofanira sangano inotangira negwara sezvo anosvika mari kutsigira kana nemishonga mutsetse unodiwa. Kana mutengo iri kunyatsotevera zvakakodzera rokumusoro muganhu, ipapo kunobatsira inogona kubviswa. Kana pajinga muganhu, unofanira kufunga kutenga. Strategy Kuparara kunosanganisira kushandisa kunogarirwa. Vari akagadzawo kunze muganhu pfupi kure. Kufungisisa kuti mutengo mune zvimwe zviitiko vanotyora vavo kwenguva pfupi nguva, unofanira kutamba nayo njodzi uye akaisa chemabhazi-kurasikirwa. Panguva iyoyowo, Chokwadi, pasinei nzira vakasarudzwa rinoda muzvinashawo kuti maximize coolly kuziva uye kuongorora mamiriro ezvinhu kuti wamuka mumusika.

mhedziso

Saka, kushandiswa logistic regression unokubvumira nokukurumidza uye nyore nyore mumapoka vacho muzvikwata maererano wainyatsotaura parameters. Kana ongorora zvichiita kushandisa imwe nzira. Kunyanya, pakawanda dzakasiyana multinomial regression. Zvisinei, nyanzvi dzinokurudzira kushandiswa zvose nzira pamusoro apa ari kunzwisisa. Izvi imhaka yokuti pane iyi kunaka muenzaniso achava yekudyidzana kwirirei. Izviwo, akudziridze kuwanda chikumbiro chacho.