{"id":313,"date":"2023-08-02T16:46:50","date_gmt":"2023-08-02T16:46:50","guid":{"rendered":"https:\/\/statorials.org\/tr\/uyum-kalitesi\/"},"modified":"2023-08-02T16:46:50","modified_gmt":"2023-08-02T16:46:50","slug":"uyum-kalitesi","status":"publish","type":"post","link":"https:\/\/statorials.org\/tr\/uyum-kalitesi\/","title":{"rendered":"Uyum kalitesi"},"content":{"rendered":"

Bu makale istatistikte uyum iyili\u011finin ne oldu\u011funu a\u00e7\u0131klamaktad\u0131r. Benzer \u015fekilde, bir regresyon modelinin uyum iyili\u011finin nas\u0131l \u00f6l\u00e7\u00fclece\u011fini g\u00f6sterir ve ayr\u0131ca uyum iyili\u011finin \u00e7\u00f6z\u00fclm\u00fc\u015f bir uygulamas\u0131n\u0131 g\u00f6rebileceksiniz.<\/p>\n

<\/span> Uyum iyili\u011fi nedir?<\/span><\/h2>\n

\u0130statistiklerde uyum iyili\u011fi<\/strong> , bir regresyon modelinin veri \u00f6rne\u011fine ne kadar iyi uydu\u011fudur. Ba\u015fka bir deyi\u015fle, bir regresyon modelinin uyum iyili\u011fi, g\u00f6zlem seti ile regresyon yoluyla elde edilen de\u011ferler aras\u0131ndaki ba\u011flant\u0131n\u0131n seviyesini ifade eder.<\/p>\n

Bu nedenle bir regresyon modelinin uyum iyili\u011fi ne kadar iyi olursa, incelenen verileri o kadar iyi a\u00e7\u0131klar. Bu nedenle istatistiksel modelin daha iyi uyumunu, daha iyi olmas\u0131n\u0131 istiyoruz. <\/p>\n

\"uyum<\/figure>\n

Yukar\u0131daki g\u00f6rselden de g\u00f6rebilece\u011finiz gibi bir g\u00f6zlemin de\u011feri genellikle regresyon modeliyle tam olarak a\u00e7\u0131klanamaz. Ancak mant\u0131ksal olarak regresyon modeli veri k\u00fcmesinden ne kadar \u00e7ok \u015fey a\u00e7\u0131klayabilirse model o kadar iyi uyum sa\u011flar. K\u0131sacas\u0131 m\u00fcmk\u00fcn oldu\u011fu kadar s\u0131k\u0131 bir regresyon modeliyle ilgileniyoruz. <\/p>\n

<\/span> Bir regresyon modelinin uyum iyili\u011fi<\/span><\/h2>\n

Bir regresyon modelinin uyum iyili\u011fini belirlemek i\u00e7in genellikle regresyon modeli taraf\u0131ndan a\u00e7\u0131klanan y\u00fczdeyi g\u00f6steren istatistiksel bir katsay\u0131 olan belirleme katsay\u0131s\u0131 kullan\u0131l\u0131r<\/strong> . Dolay\u0131s\u0131yla bir modelin belirleme katsay\u0131s\u0131 ne kadar y\u00fcksek olursa, model veri \u00f6rne\u011fine o kadar iyi uyarlanacakt\u0131r. <\/p>\n<\/p>\n

\"R^2=<\/p>\n<\/p>\n

\u27a4<\/span> Bak\u0131n\u0131z:<\/strong> Belirleme katsay\u0131s\u0131 form\u00fcl\u00fc<\/a><\/div>\n

Ancak \u015funu da belirtmek gerekir ki bir regresyon modeli ne kadar \u00e7ok de\u011fi\u015fkene sahip olursa, belirleme katsay\u0131s\u0131 da o kadar y\u00fcksek olacakt\u0131r. Bu nedenle, bir modelin uyum iyili\u011fini \u00f6l\u00e7mek i\u00e7in d\u00fczeltilmi\u015f belirleme katsay\u0131s\u0131 da s\u0131kl\u0131kla kullan\u0131l\u0131r. D\u00fczeltilmi\u015f belirleme katsay\u0131s\u0131, regresyon modeli taraf\u0131ndan a\u00e7\u0131klanan y\u00fczdeyi g\u00f6steren \u00f6nceki katsay\u0131n\u0131n bir varyasyonudur ve modele dahil edilen her a\u00e7\u0131klay\u0131c\u0131 de\u011fi\u015fken i\u00e7in cezaland\u0131r\u0131c\u0131d\u0131r.<\/p>\n<\/p>\n

\"\\bar{R}^2=<\/p>\n<\/p>\n

Bu nedenle, iki modeli bir dizi farkl\u0131 de\u011fi\u015fkenle kar\u015f\u0131la\u015ft\u0131rmak i\u00e7in d\u00fczeltilmi\u015f belirleme katsay\u0131s\u0131n\u0131n kullan\u0131lmas\u0131 tercih edilir, \u00e7\u00fcnk\u00fc modelde yer alan de\u011fi\u015fkenlerin say\u0131s\u0131 dikkate al\u0131n\u0131r. <\/p>\n

\u27a4<\/span> Bak\u0131n\u0131z:<\/strong> D\u00fczeltilmi\u015f belirleme katsay\u0131s\u0131 form\u00fcl\u00fc<\/a><\/div>\n

Son olarak, genellikle \u00f6nceki iki katsay\u0131lar\u0131n de\u011ferleri kullan\u0131lsa da, Ki-kare testinin bir regresyon modelinin uyum iyili\u011fini \u00f6l\u00e7mek i\u00e7in de kullan\u0131labilece\u011fini belirtmek gerekir. <\/p>\n

<\/span> \u0130yi uyumun somut \u00f6rne\u011fi<\/span><\/h2>\n

Son olarak, bu istatistiksel kavram\u0131 \u00f6z\u00fcmsemeyi tamamlamak i\u00e7in ayarlama kalitesi konusunda \u00e7\u00f6z\u00fcmlenmi\u015f bir al\u0131\u015ft\u0131rma g\u00f6rece\u011fiz.<\/p>\n

    \n
  • Ayn\u0131 veri serisi ile sonu\u00e7lar\u0131n\u0131 a\u015fa\u011f\u0131daki tabloda g\u00f6rebilece\u011finiz iki farkl\u0131 do\u011frusal regresyon modeli ger\u00e7ekle\u015ftirilir. Hangi modeli kullanmak en iyisidir? <\/li>\n<\/ul>\n
    \n\n\n\n\n\n\n\n
    <\/th>\n Regresyon modeli 1<\/th>\n Regresyon modeli 2<\/th>\n<\/tr>\n<\/thead>\n
    Determinasyon katsay\u0131s\u0131<\/td>\n %57<\/td>\n %64<\/td>\n<\/tr>\n
    D\u00fczeltilmi\u015f belirleme katsay\u0131s\u0131<\/td>\n %49<\/td>\n %43<\/td>\n<\/tr>\n
    A\u00e7\u0131klay\u0131c\u0131 de\u011fi\u015fkenlerin say\u0131s\u0131<\/td>\n 3<\/td>\n 7<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/figure>\n

    Bu durumda, her iki modelin de do\u011frusal regresyon modellerinin \u00f6nceki varsay\u0131mlar\u0131n\u0131 kar\u015f\u0131lad\u0131\u011f\u0131n\u0131 varsay\u0131yoruz ve bu nedenle yaln\u0131zca modellerin uyum iyili\u011fini analiz etmemiz gerekiyor.<\/p>\n

    Regresyon modeli 2, regresyon modeli 1’e g\u00f6re daha y\u00fcksek bir belirleme katsay\u0131s\u0131na sahiptir, dolay\u0131s\u0131yla veri \u00f6rne\u011fini daha iyi a\u00e7\u0131klayabildi\u011fi i\u00e7in daha iyi bir regresyon modeli oldu\u011fu \u00f6nsel olarak g\u00f6r\u00fclmektedir.<\/p>\n

    Ancak Regresyon Modeli 2’nin modelinde 7 ba\u011f\u0131ms\u0131z de\u011fi\u015fken bulunurken Regresyon Modeli 1’in yaln\u0131zca 3 ba\u011f\u0131ms\u0131z de\u011fi\u015fkeni vard\u0131r. Dolay\u0131s\u0131yla Model 2’nin yorumlanmas\u0131 ilk modele g\u00f6re \u00e7ok daha karma\u015f\u0131k ve zor olacakt\u0131r.<\/p>\n

    Ek olarak, modeldeki de\u011fi\u015fken say\u0131s\u0131n\u0131 dikkate alan d\u00fczeltilmi\u015f belirleme katsay\u0131s\u0131na bakarsak, regresyon modeli 1, regresyon modeli 2’den daha y\u00fcksek bir d\u00fczeltilmi\u015f belirleme katsay\u0131s\u0131na sahiptir.<\/p>\n

    Sonu\u00e7 olarak, d\u00fczeltilmi\u015f belirleme katsay\u0131s\u0131 regresyon modeli 2’den daha y\u00fcksek oldu\u011fundan regresyon modeli 1’i kullanmak daha iyi olsa da, regresyon modeli 2’nin d\u00fczeltilmemi\u015f belirleme katsay\u0131s\u0131 daha y\u00fcksek oldu\u011fundan bunun nedeni regresyona \u00e7ok daha fazla de\u011fi\u015fken dahil etmeleridir. model 1. model, s\u00f6z konusu katsay\u0131n\u0131n de\u011ferini art\u0131ran ancak modelin yorumunu zorla\u015ft\u0131ran ve elbette yeni bir de\u011ferin tahminini zorla\u015ft\u0131ran model.<\/p>\n

    Farkl\u0131 say\u0131da de\u011fi\u015fken i\u00e7eren modelleri kar\u015f\u0131la\u015ft\u0131rmak i\u00e7in d\u00fczeltilmi\u015f belirleme katsay\u0131s\u0131n\u0131 kullanmak en iyisidir \u00e7\u00fcnk\u00fc modele eklenen her de\u011fi\u015fken i\u00e7in ceza verir. Bu \u00f6rnekte g\u00f6rd\u00fc\u011f\u00fcn\u00fcz gibi, d\u00fczeltilmemi\u015f belirleme katsay\u0131s\u0131na g\u00f6re regresyon modeli 2 daha iyidir, ancak d\u00fczeltilmi\u015f belirleme katsay\u0131s\u0131 sayesinde regresyon modeli 1’in asl\u0131nda daha iyi oldu\u011funu bilebiliriz.<\/p>\n","protected":false},"excerpt":{"rendered":"

    Bu makale istatistikte uyum iyili\u011finin ne oldu\u011funu a\u00e7\u0131klamaktad\u0131r. Benzer \u015fekilde, bir regresyon modelinin uyum iyili\u011finin nas\u0131l \u00f6l\u00e7\u00fclece\u011fini g\u00f6sterir ve ayr\u0131ca uyum iyili\u011finin \u00e7\u00f6z\u00fclm\u00fc\u015f bir uygulamas\u0131n\u0131 g\u00f6rebileceksiniz. Uyum iyili\u011fi nedir? \u0130statistiklerde uyum iyili\u011fi , bir regresyon modelinin veri \u00f6rne\u011fine ne kadar iyi uydu\u011fudur. Ba\u015fka bir deyi\u015fle, bir regresyon modelinin uyum iyili\u011fi, g\u00f6zlem seti ile regresyon yoluyla […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[14],"tags":[],"class_list":["post-313","post","type-post","status-publish","format-standard","hentry","category-istatistik"],"yoast_head":"\n\u25b7 \u0130yi uyum<\/title>\n<meta name=\"description\" content=\"Burada bir regresyon modelinin uyum iyili\u011fi (istatistikler) ve \u00e7\u00f6z\u00fclm\u00fc\u015f uyum iyili\u011fi al\u0131\u015ft\u0131rmalar\u0131 hakk\u0131nda bilgi edineceksiniz.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/statorials.org\/tr\/uyum-kalitesi\/\" \/>\n<meta property=\"og:locale\" content=\"tr_TR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u25b7 \u0130yi uyum\" \/>\n<meta property=\"og:description\" content=\"Burada bir regresyon modelinin uyum iyili\u011fi (istatistikler) ve \u00e7\u00f6z\u00fclm\u00fc\u015f uyum iyili\u011fi al\u0131\u015ft\u0131rmalar\u0131 hakk\u0131nda bilgi edineceksiniz.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/tr\/uyum-kalitesi\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-08-02T16:46:50+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/qualite-de-lajustement.png\" \/>\n<meta name=\"author\" content=\"Dr.benjamin anderson\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Yazan:\" \/>\n\t<meta name=\"twitter:data1\" content=\"Dr.benjamin anderson\" \/>\n\t<meta name=\"twitter:label2\" content=\"Tahmini okuma s\u00fcresi\" \/>\n\t<meta name=\"twitter:data2\" content=\"4 dakika\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/statorials.org\/tr\/uyum-kalitesi\/\",\"url\":\"https:\/\/statorials.org\/tr\/uyum-kalitesi\/\",\"name\":\"\u25b7 \u0130yi uyum\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/tr\/#website\"},\"datePublished\":\"2023-08-02T16:46:50+00:00\",\"dateModified\":\"2023-08-02T16:46:50+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/tr\/#\/schema\/person\/365dc158a39a7c8ae256355451e3de48\"},\"description\":\"Burada bir regresyon modelinin uyum iyili\u011fi (istatistikler) ve \u00e7\u00f6z\u00fclm\u00fc\u015f uyum iyili\u011fi al\u0131\u015ft\u0131rmalar\u0131 hakk\u0131nda bilgi edineceksiniz.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/tr\/uyum-kalitesi\/#breadcrumb\"},\"inLanguage\":\"tr\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/tr\/uyum-kalitesi\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/tr\/uyum-kalitesi\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Ev\",\"item\":\"https:\/\/statorials.org\/tr\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Uyum kalitesi\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/statorials.org\/tr\/#website\",\"url\":\"https:\/\/statorials.org\/tr\/\",\"name\":\"Statorials\",\"description\":\"\u0130statistik okuryazarl\u0131\u011f\u0131 rehberiniz!\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/statorials.org\/tr\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"tr\"},{\"@type\":\"Person\",\"@id\":\"https:\/\/statorials.org\/tr\/#\/schema\/person\/365dc158a39a7c8ae256355451e3de48\",\"name\":\"Dr.benjamin anderson\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"tr\",\"@id\":\"https:\/\/statorials.org\/tr\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/statorials.org\/tr\/wp-content\/uploads\/2023\/10\/Dr.-Benjamin-Anderson-96x96.jpg\",\"contentUrl\":\"https:\/\/statorials.org\/tr\/wp-content\/uploads\/2023\/10\/Dr.-Benjamin-Anderson-96x96.jpg\",\"caption\":\"Dr.benjamin anderson\"},\"description\":\"Merhaba, ben Benjamin, emekli bir istatistik profes\u00f6r\u00fc ve Statorials \u00f6\u011fretmenine d\u00f6n\u00fc\u015ft\u00fcm. \u0130statistik alan\u0131ndaki kapsaml\u0131 deneyimim ve uzmanl\u0131\u011f\u0131mla, \u00f6\u011frencilerimi Statorials arac\u0131l\u0131\u011f\u0131yla g\u00fc\u00e7lendirmek i\u00e7in bilgilerimi payla\u015fmaya can at\u0131yorum. 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