{"id":15513,"date":"2025-07-15T13:34:52","date_gmt":"2025-07-15T13:34:52","guid":{"rendered":"https:\/\/functiontranslator.com\/dot\/"},"modified":"2021-02-25T16:30:50","modified_gmt":"2021-02-25T16:30:50","slug":"linest","status":"publish","type":"post","link":"https:\/\/functiontranslator.com\/tr\/linest\/","title":{"rendered":"DOT"},"content":{"rendered":"

Excel ve Google Tablolar’da \u0130statistiksel Tahmin Y\u00f6ntemleri<\/h1>\n

\u0130\u015f d\u00fcnyas\u0131nda veya akademik \u00e7al\u0131\u015fmalarda, karma\u015f\u0131k veri setlerinden anlam \u00e7\u0131karmak \u00f6nemlidir. Bu ba\u011flamda MS Excel ve Google E-Tablolar, veri analizi ve i\u015flevsel hesaplamalar i\u00e7in g\u00fc\u00e7l\u00fc ara\u00e7lar sunar. \u00d6zellikle, regresyon analizi yaparken kullan\u0131lan LINEST i\u015flevi, veri setleri aras\u0131ndaki ili\u015fkileri modellemek ve gelecekteki de\u011ferleri tahmin etmek i\u00e7in s\u0131kl\u0131kla ba\u015fvurulan bir y\u00f6ntemdir. Bu makalemizde, LINEST i\u015flevinin nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 \u00f6rneklerle ele alaca\u011f\u0131z.<\/p>\n

Kullan\u0131m ve S\u00f6zdizimi<\/h2>\n

LINEST i\u015flevi, ba\u011f\u0131ms\u0131z de\u011fi\u015fkenlerin ve bir ba\u011f\u0131ml\u0131 de\u011fi\u015fkenin verilerini kullanarak linear regresyon denkleminin katsay\u0131lar\u0131n\u0131 hesaplar. Bu i\u015flev, en k\u00fc\u00e7\u00fck kareler y\u00f6ntemi kullan\u0131larak elde edilen \u00e7\u00f6z\u00fcm\u00fc sunar, bu da tahmin edilen de\u011ferler ile g\u00f6zlemlenen de\u011ferler aras\u0131ndaki farklar\u0131n karelerinin toplam\u0131n\u0131 minimize eder.<\/p>\n

  =LINEST(bag\u0131ml\u0131_de\u011fi\u015fkenler, ba\u011f\u0131ms\u0131z_de\u011fi\u015fkenler, sabit, istatistikler) <\/code> <\/pre>\n
    \n
  • bag\u0131ml\u0131_de\u011fi\u015fkenler:<\/strong> Tahmin edilmek istenen de\u011ferler.<\/li>\n
  • ba\u011f\u0131ms\u0131z_de\u011fi\u015fkenler:<\/strong> Tahmini etkileyen de\u011fi\u015fkenler.<\/li>\n
  • sabit:<\/strong> Regresyon denkleminde sabit terimi (intercept) kullan\u0131l\u0131p kullan\u0131lmayaca\u011f\u0131n\u0131 kontrol eder. TRUE veya FALSE olabilir.<\/li>\n
  • istatistikler:<\/strong> \u0130\u015flevin ek istatistiksel bilgi d\u00f6nd\u00fcr\u00fcp d\u00f6nd\u00fcrmeyece\u011fi (\u00f6rne\u011fin, R-kare, standart hata vb.). TRUE veya FALSE olabilir.<\/li>\n<\/ul>\n
    Pratik Kullan\u0131m Senaryolar\u0131<\/h2>\n
    Makale Sat\u0131\u015f Verilerinden Trendler \u00c7\u0131karma<\/h3>\n
    Bir yay\u0131nevi, son alt\u0131 ay boyunca farkl\u0131 makalelerin sat\u0131\u015f verilerini analiz edip gelecek aylar i\u00e7in sat\u0131\u015f tahmininde bulunmak istiyor. Ba\u011f\u0131ms\u0131z de\u011fi\u015fken (x) olarak aylar ve ba\u011f\u0131ml\u0131 de\u011fi\u015fken (y) olarak ayl\u0131k sat\u0131\u015f miktarlar\u0131n\u0131 kullanabiliriz. LINEST i\u015flevi ile linear bir model olu\u015fturarak, gelecek aylar i\u00e7in tahmini sat\u0131\u015f miktarlar\u0131n\u0131 hesaplayabiliriz:<\/p>\n
      =LINEST(A2:A7, B2:B7, TRUE, FALSE) <\/code> <\/pre>\n
    Bu form\u00fcl, her ay i\u00e7in beklenen sat\u0131\u015f art\u0131\u015f\u0131n\u0131 (veya azal\u0131\u015f\u0131n\u0131) ve modelin ba\u015flang\u0131\u00e7 noktas\u0131n\u0131 (intercept) g\u00f6steren katsay\u0131lar\u0131 d\u00f6nd\u00fcr\u00fcr. B\u00f6ylece, sat\u0131\u015f departman\u0131 stok ve pazarlama stratejilerini bu tahminlere g\u00f6re \u015fekillendirebilir.<\/p>\n
    Reklam Harcamalar\u0131n\u0131n Sat\u0131\u015flara Etkisi<\/h3>\n
    Bir ba\u015fka \u00f6rnek ise bir \u015firketin farkl\u0131 zamanlarda yapt\u0131\u011f\u0131 reklam harcamalar\u0131n\u0131 ve bu harcamalar\u0131n sat\u0131\u015flar \u00fczerindeki etkisini \u00f6l\u00e7mek olabilir. Bu durumda, reklam harcamalar\u0131 ba\u011f\u0131ms\u0131z de\u011fi\u015fken ve sat\u0131\u015f miktarlar\u0131 ba\u011f\u0131ml\u0131 de\u011fi\u015fken olacakt\u0131r. \u00c7oklu regresyon analizi i\u00e7in LINEST i\u015flevi bu ili\u015fkiyi a\u00e7\u0131\u011fa \u00e7\u0131karabilir:<\/p>\n
      =LINEST(C2:C10, D2:D10, TRUE, TRUE) <\/code> <\/pre>\n
    Bu kullan\u0131m, reklam harcamalar\u0131n\u0131n sat\u0131\u015flar \u00fczerindeki do\u011frudan etkisini ve bu etkinin istatistiksel \u00f6nemini de g\u00f6steren ek sonu\u00e7lar \u00fcretecektir. \u015eirket, bu bilgilerle reklam b\u00fct\u00e7esini daha efektif bir bi\u00e7imde y\u00f6netebilir.<\/p>\n
    Excel ve Google E-Tablolar’daki LINEST i\u015flevi, veri bilimcileri, pazarlama analistleri veya \u00fcr\u00fcn y\u00f6neticileri gibi profesyoneller i\u00e7in vazge\u00e7ilmez bir ara\u00e7t\u0131r. Do\u011fru kullan\u0131ld\u0131\u011f\u0131nda, i\u00e7 g\u00f6r\u00fcler sa\u011flar ve stratejik karar alma s\u00fcre\u00e7lerini destekler.<\/p>\n","protected":false},"excerpt":{"rendered":"
    Do\u011frusal bir e\u011filimin parametrelerini verir<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[582],"tags":[],"class_list":["post-15513","post","type-post","status-publish","format-standard","hentry","category-istatistik"],"acf":[],"yoast_head":"\nExcel'de LINEST (DOT) Fonksiyonu: Nas\u0131l \u00c7al\u0131\u015f\u0131r, Kullan\u0131m \u00d6rnekleri<\/title>\n<meta name=\"description\" content=\"Excel ve Google E-Tablolar'da LINEST (DOT) fonksiyonunun detayl\u0131 incelemesi. 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