Tipik olarak do\u011frusal regresyon uygulad\u0131\u011f\u0131m\u0131zda yan\u0131t de\u011fi\u015fkeninin ortalama de\u011ferini tahmin etmek isteriz.<\/span><\/p>\n Ancak bunun yerine yan\u0131t de\u011ferinin herhangi bir<\/em> y\u00fczdelik de\u011ferini (30. y\u00fczdelik, 90. y\u00fczdelik, 98. y\u00fczdelik vb.) tahmin etmek i\u00e7in nicelik regresyonu<\/strong> olarak bilinen bir y\u00f6ntemi kullanabiliriz.<\/span><\/p>\n SAS’ta niceliksel regresyon ger\u00e7ekle\u015ftirmek i\u00e7in proc quantreg<\/strong> ifadesini kullanabiliriz.<\/span><\/p>\n A\u015fa\u011f\u0131daki \u00f6rnek, pratikte SAS’ta niceliksel regresyonun nas\u0131l ger\u00e7ekle\u015ftirilece\u011fini g\u00f6stermektedir.<\/span><\/p>\n SAS’ta, bir s\u0131n\u0131ftaki \u00f6\u011frencilerin \u00e7al\u0131\u015f\u0131lan saat say\u0131s\u0131n\u0131 ve kar\u015f\u0131l\u0131k gelen s\u0131nav puan\u0131n\u0131 g\u00f6steren a\u015fa\u011f\u0131daki veri k\u00fcmesine sahip oldu\u011fumuzu varsayal\u0131m:<\/span><\/span> <\/p>\n Daha sonra, yorday\u0131c\u0131 de\u011fi\u015fken olarak \u00e7al\u0131\u015f\u0131lan saatleri ve yan\u0131t de\u011fi\u015fkeni olarak s\u0131nav puanlar\u0131n\u0131 kullanarak niceliksel bir regresyon modeli uygulayaca\u011f\u0131z.<\/span><\/p>\n Bu modeli, \u00e7al\u0131\u015f\u0131lan saat say\u0131s\u0131na ba\u011fl\u0131 olarak s\u0131nav puanlar\u0131n\u0131n beklenen y\u00fczde 90’l\u0131k dilimini tahmin etmek i\u00e7in kullanaca\u011f\u0131z:<\/span> <\/p>\n Sonu\u00e7tan tahmini regresyon denklemini g\u00f6rebiliriz:<\/span><\/p>\n 90. y\u00fczdelik s\u0131nav puan\u0131 = 76 + 4,5 (saat)<\/span><\/p>\n \u00d6rne\u011fin 2 saat ders \u00e7al\u0131\u015fan t\u00fcm \u00f6\u011frencilerin 90. y\u00fczdelik puan\u0131 85 olmal\u0131d\u0131r:<\/span><\/p>\n S\u0131nav puan\u0131n\u0131n 90. y\u00fczdelik dilimi = 76 + 4,5*(2) = 85<\/strong> .<\/span><\/p>\n \u00c7\u0131kt\u0131 ayr\u0131ca, grafik \u00fczerine yerle\u015ftirilmi\u015f regresyon \u00e7izgisiyle birlikte ham verilerin da\u011f\u0131l\u0131m grafi\u011fini de g\u00f6r\u00fcnt\u00fcler:<\/span> <\/p>\n Geleneksel bir regresyon modelinden farkl\u0131 olarak, bu regresyon modelindeki uygun \u00e7izgi, ortalama de\u011fer yerine, yorday\u0131c\u0131 de\u011fi\u015fkenin her bir de\u011ferinin 90. y\u00fczdelik diliminden ge\u00e7er.<\/span><\/p>\n A\u015fa\u011f\u0131daki e\u011fitimlerde R’de di\u011fer ortak g\u00f6revlerin nas\u0131l ger\u00e7ekle\u015ftirilece\u011fi a\u00e7\u0131klanmaktad\u0131r:<\/span><\/p>\n R’de basit do\u011frusal regresyon nas\u0131l ger\u00e7ekle\u015ftirilir<\/a> Do\u011frusal regresyon, bir veya daha fazla yorday\u0131c\u0131 de\u011fi\u015fken ile bir yan\u0131t de\u011fi\u015fkeni aras\u0131ndaki ili\u015fkiyi anlamak i\u00e7in kullanabilece\u011fimiz bir y\u00f6ntemdir. Tipik olarak do\u011frusal regresyon uygulad\u0131\u011f\u0131m\u0131zda yan\u0131t de\u011fi\u015fkeninin ortalama de\u011ferini tahmin etmek isteriz. Ancak bunun yerine yan\u0131t de\u011ferinin herhangi bir y\u00fczdelik de\u011ferini (30. y\u00fczdelik, 90. y\u00fczdelik, 98. y\u00fczdelik vb.) tahmin etmek i\u00e7in nicelik regresyonu olarak bilinen bir […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11],"tags":[],"class_list":["post-3890","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n \u00d6rnek: SAS’ta Kantil Regresyonun \u00c7al\u0131\u015ft\u0131r\u0131lmas\u0131<\/strong><\/span><\/h2>\n
\/*create dataset*\/\n<\/span>data<\/span> original_data;\n input<\/span> hours score;\n datalines<\/span> ;\n1 75\n1 79\n2 78\n2 83\n2 85\n3 84\n3 84\n3 89\n4 93\n4 88\n4 79\n4 94\n5 96\n5 98\n;\nrun<\/span> ;\n\n\/*view dataset*\/\n<\/span>proc print<\/span> data<\/span> = original_data;\n<\/strong><\/span><\/pre>\n![\"\"](\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/quant1.jpg\")
<\/p>\n \/*perform quantile regression*\/\n<\/span>proc quantreg<\/span> data<\/span> =original_data;\n model<\/span> score = hours \/ quantile<\/span> = 0.9<\/span> ;\nrun<\/span> ;\n<\/strong><\/pre>\n![\"SAS'ta](\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/quant2.jpg\")
<\/p>\n![\"\"](\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/quant3.jpg\")
<\/p>\n Ek kaynaklar<\/strong><\/span><\/h2>\n
R’de \u00e7oklu do\u011frusal regresyon nas\u0131l ger\u00e7ekle\u015ftirilir<\/a>
R’de ikinci dereceden regresyon nas\u0131l ger\u00e7ekle\u015ftirilir?<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"