{"id":28434,"date":"2023-06-20T18:17:37","date_gmt":"2023-06-20T21:17:37","guid":{"rendered":"https:\/\/mindthegraph.com\/blog\/psychedelic-medicine-copy\/"},"modified":"2023-07-03T18:36:10","modified_gmt":"2023-07-03T21:36:10","slug":"regression-analysis","status":"publish","type":"post","link":"https:\/\/mindthegraph.com\/blog\/tr\/regresyon-analizi\/","title":{"rendered":"Karma\u015f\u0131k \u0130li\u015fkileri Anlamak i\u00e7in Regresyon Analizini Kullanma"},"content":{"rendered":"<p>Regresyon analizi, bir veya daha fazla ba\u011f\u0131ms\u0131z de\u011fi\u015fken ile ba\u011f\u0131ml\u0131 de\u011fi\u015fken aras\u0131ndaki ba\u011flant\u0131y\u0131 belirlemeye ve analiz etmeye y\u00f6nelik bir yakla\u015f\u0131md\u0131r. Bu y\u00f6ntem sa\u011fl\u0131k, sosyal bilimler, m\u00fchendislik, ekonomi ve i\u015fletme gibi \u00e7e\u015fitli disiplinlerde yayg\u0131n olarak kullan\u0131lmaktad\u0131r. Regresyon analizini, verilerdeki temel ili\u015fkileri ara\u015ft\u0131rmak ve bilin\u00e7li kararlar alman\u0131za yard\u0131mc\u0131 olacak \u00f6ng\u00f6r\u00fcc\u00fc modeller geli\u015ftirmek i\u00e7in kullanabilirsiniz.<\/p>\n\n\n\n<p>Bu makale size regresyon analizinin nas\u0131l \u00e7al\u0131\u015ft\u0131\u011f\u0131n\u0131, kolay anla\u015f\u0131l\u0131r bir \u00f6rne\u011fini ve korelasyon analizinden fark\u0131n\u0131 da i\u00e7eren kapsaml\u0131 bir genel bak\u0131\u015f sunacakt\u0131r.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-what-is-regression-analysis\">Regresyon Analizi Nedir?<\/h2>\n\n\n\n<p>Regresyon analizi, bir ba\u011f\u0131ml\u0131 de\u011fi\u015fken ile bir veya daha fazla ba\u011f\u0131ms\u0131z de\u011fi\u015fken aras\u0131ndaki ba\u011flant\u0131y\u0131 tan\u0131mlamak ve \u00f6l\u00e7mek i\u00e7in kullan\u0131lan istatistiksel bir y\u00f6ntemdir. \u00d6zetle, bir veya daha fazla ba\u011f\u0131ms\u0131z de\u011fi\u015fkendeki de\u011fi\u015fikliklerin ba\u011f\u0131ml\u0131 de\u011fi\u015fkendeki de\u011fi\u015fikliklerle nas\u0131l ili\u015fkili oldu\u011funu anlaman\u0131za yard\u0131mc\u0131 olur.<\/p>\n\n\n\n<p>Regresyon analizini tam olarak anlamak i\u00e7in \u00f6ncelikle a\u015fa\u011f\u0131daki terimleri anlaman\u0131z gerekir:<\/p>\n\n\n\n<ul>\n<li><strong>Ba\u011f\u0131ml\u0131 De\u011fi\u015fken: <\/strong>Bu, analiz etmek veya tahmin etmekle ilgilendi\u011finiz de\u011fi\u015fkendir. Anlamaya ve a\u00e7\u0131klamaya \u00e7al\u0131\u015ft\u0131\u011f\u0131n\u0131z sonu\u00e7 de\u011fi\u015fkenidir.<\/li>\n\n\n\n<li><strong>Ba\u011f\u0131ms\u0131z De\u011fi\u015fkenler: <\/strong>Bunlar ba\u011f\u0131ml\u0131 de\u011fi\u015fken \u00fczerinde etkisi oldu\u011funa inand\u0131\u011f\u0131n\u0131z de\u011fi\u015fkenlerdir. Ba\u011f\u0131ml\u0131 de\u011fi\u015fkendeki de\u011fi\u015fiklikleri tahmin etmek veya a\u00e7\u0131klamak i\u00e7in kullan\u0131ld\u0131klar\u0131ndan, genellikle tahmin edici de\u011fi\u015fkenler olarak adland\u0131r\u0131l\u0131rlar.<\/li>\n<\/ul>\n\n\n\n<p>Regresyon analizi, ba\u011f\u0131ml\u0131 de\u011fi\u015fkenin gelecekteki de\u011ferlerinin tahmin edilmesi, ba\u011f\u0131ms\u0131z de\u011fi\u015fkenlerin ba\u011f\u0131ml\u0131 de\u011fi\u015fken \u00fczerindeki etkisinin anla\u015f\u0131lmas\u0131 ve veri toplamada ayk\u0131r\u0131 de\u011ferlerin veya ola\u011fand\u0131\u015f\u0131 olaylar\u0131n bulunmas\u0131 gibi \u00e7e\u015fitli durumlarda kullan\u0131labilir.<\/p>\n\n\n\n<p>Regresyon analizi, tek do\u011frusal regresyon, lojistik regresyon, polinom regresyon ve \u00e7oklu regresyon gibi \u00e7e\u015fitli t\u00fcrlerde s\u0131n\u0131fland\u0131r\u0131labilir. Uygun regresyon modeli, verilerin niteli\u011fine ve incelenen ara\u015ft\u0131rma konusuna g\u00f6re belirlenir.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-how-does-regression-analysis-work\">Regresyon Analizi Nas\u0131l \u00c7al\u0131\u015f\u0131r?<\/h2>\n\n\n\n<p>Regresyon analizinin amac\u0131, ba\u011f\u0131ms\u0131z de\u011fi\u015fkenler ile ba\u011f\u0131ml\u0131 de\u011fi\u015fken aras\u0131ndaki ba\u011flant\u0131y\u0131 yans\u0131tan en uygun do\u011fruyu veya e\u011friyi belirlemektir. Bu en uygun \u00e7izgi veya e\u011fri, veri toplamada beklenen ve ger\u00e7ek de\u011ferler aras\u0131ndaki farkl\u0131l\u0131klar\u0131 azaltan istatistiksel y\u00f6ntemler kullan\u0131larak olu\u015fturulur.<\/p>\n\n\n\n<p>\u0130\u015fte en yayg\u0131n iki regresyon analizi t\u00fcr\u00fc i\u00e7in form\u00fcller:<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-single-linear-regression\">Tek Do\u011frusal Regresyon<\/h3>\n\n\n\n<p>Basit Do\u011frusal Regresyonda, iki de\u011fi\u015fken aras\u0131ndaki ili\u015fkiyi g\u00f6stermek i\u00e7in en uygun do\u011fruyu kullan\u0131rs\u0131n\u0131z: ba\u011f\u0131ms\u0131z de\u011fi\u015fken (x) ve ba\u011f\u0131ml\u0131 de\u011fi\u015fken (y).<\/p>\n\n\n\n<p>En iyi uyum do\u011frusu \u015fu denklemle g\u00f6sterilebilir: y = a + bx.<\/p>\n\n\n\n<p>Burada a kesi\u015fim, b ise do\u011frunun e\u011fimidir. E\u011fimi hesaplamak i\u00e7in \u015fu form\u00fcl\u00fc kullan\u0131rs\u0131n\u0131z: b = (n\u03a3(xy) - \u03a3x\u03a3y) \/ (n\u03a3(x<sup>2<\/sup>) - (\u03a3x)<sup>2<\/sup>), burada n g\u00f6zlem say\u0131s\u0131, \u03a3xy x ve y'nin \u00e7arp\u0131m\u0131n\u0131n toplam\u0131, \u03a3x ve \u03a3y s\u0131ras\u0131yla x ve y'nin toplamlar\u0131 ve \u03a3(x<sup>2<\/sup>) x'in karelerinin toplam\u0131d\u0131r.<\/p>\n\n\n\n<p>Kesi\u015fme noktas\u0131n\u0131 hesaplamak i\u00e7in \u015fu form\u00fcl\u00fc kullan\u0131rs\u0131n\u0131z: a = (\u03a3y - b\u03a3x) \/ n.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-multiple-regression\">\u00c7oklu Regresyon&nbsp;<\/h3>\n\n\n\n<p>\u00c7oklu Do\u011frusal Regresyon:<\/p>\n\n\n\n<p>\u00c7oklu do\u011frusal regresyon modelinin denklemi i\u00e7in form\u00fcl \u015f\u00f6yledir:<\/p>\n\n\n\n<blockquote class=\"wp-block-quote\">\n<p><strong>y = b<sub>0<\/sub> + b<sub>1<\/sub>x<sub>1<\/sub> + b<sub>2<\/sub>x<sub>2<\/sub> + ... + b<sub>n<\/sub>x<sub>n<\/sub><\/strong><\/p>\n<\/blockquote>\n\n\n\n<p>Burada y ba\u011f\u0131ml\u0131 de\u011fi\u015fken, x<sub>1<\/sub>, x<sub>2<\/sub>, ..., x<sub>n<\/sub> ba\u011f\u0131ms\u0131z de\u011fi\u015fkenler ve b<sub>0<\/sub>, b<sub>1<\/sub>, b<sub>2<\/sub>, ..., bn ba\u011f\u0131ms\u0131z de\u011fi\u015fkenlerin katsay\u0131lar\u0131d\u0131r.<\/p>\n\n\n\n<p>S\u0131radan en k\u00fc\u00e7\u00fck kareler kullanarak katsay\u0131lar\u0131 tahmin etmek i\u00e7in form\u00fcl \u015f\u00f6yledir:<\/p>\n\n\n\n<blockquote class=\"wp-block-quote\">\n<p><strong>\u03b2 = (X'X)<sup>(-1)<\/sup>X'y<\/strong><\/p>\n<\/blockquote>\n\n\n\n<p>Burada \u03b2 katsay\u0131lar\u0131n s\u00fctun vekt\u00f6r\u00fc, X ba\u011f\u0131ms\u0131z de\u011fi\u015fkenlerin tasar\u0131m matrisi, X' X'in transpozesi ve y ba\u011f\u0131ml\u0131 de\u011fi\u015fkenin g\u00f6zlem vekt\u00f6r\u00fcd\u00fcr.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-regression-analysis-example\">Regresyon Analizi \u00d6rne\u011fi<\/h2>\n\n\n\n<p>Bir bireyin not ortalamas\u0131 (GPA) ile haftada \u00e7al\u0131\u015ft\u0131\u011f\u0131 saat say\u0131s\u0131 aras\u0131ndaki ba\u011flant\u0131y\u0131 incelemek istedi\u011finizi varsayal\u0131m. Bir dizi \u00f6\u011frenciden \u00e7al\u0131\u015fma saatleri ve not ortalamalar\u0131 dahil olmak \u00fczere bilgi topluyorsunuz.<\/p>\n\n\n\n<p>Ard\u0131ndan, her iki de\u011fi\u015fken aras\u0131nda do\u011frusal bir ba\u011flant\u0131 olup olmad\u0131\u011f\u0131n\u0131 g\u00f6rmek i\u00e7in regresyon analizini kullan\u0131n ve e\u011fer varsa, bir \u00f6\u011frencinin haftada ka\u00e7 saat \u00e7al\u0131\u015ft\u0131\u011f\u0131na ba\u011fl\u0131 olarak not ortalamas\u0131n\u0131 tahmin eden bir model olu\u015fturabilirsiniz.<\/p>\n\n\n\n<div style=\"height:21px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter is-resized\"><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/lh5.googleusercontent.com\/jY2vs2UsuRYMfVS7ZwPuk_epkVR-Yl7jnG8al1mDmUs6L8YsZ_X3WwNFy40jDCareFFtyOzL6b_DXIhO8FrJR1CMyVwg_rHyE1jycXX-LGWLsUf4LTzWV4L35ObUSidK1EsF136nqG-tHj_zjStgbbA\" alt=\"\" width=\"505\" height=\"263\"\/><figcaption class=\"wp-element-caption\"><em>Resim \u015furada mevcut <a href=\"https:\/\/www.alchemer.com\" target=\"_blank\" rel=\"noreferrer noopener\">alchemer.com<\/a><\/em><\/figcaption><\/figure><\/div>\n\n\n<p><a href=\"https:\/\/www.alchemer.com\/wp-content\/uploads\/2019\/04\/regression-analysis-1.png\"><\/a><\/p>\n\n\n\n<div style=\"height:21px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p>Veriler bir da\u011f\u0131l\u0131m haritas\u0131 \u00fczerine \u00e7izildi\u011finde, \u00e7al\u0131\u015fma saatleri ile not ortalamas\u0131 aras\u0131nda uygun bir do\u011frusal ba\u011flant\u0131 oldu\u011fu g\u00f6r\u00fclmektedir. En iyi uyum \u00e7izgisinin e\u011fimi ve kesi\u015fimi daha sonra basit bir do\u011frusal regresyon modeli kullan\u0131larak tahmin edilir. Nihai \u00e7\u00f6z\u00fcm \u015fu \u015fekilde olabilir:<\/p>\n\n\n\n<p>GPA = 2.0 + 0.3 (haftada \u00e7al\u0131\u015f\u0131lan saat)<\/p>\n\n\n\n<div style=\"height:21px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter is-resized\"><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/lh6.googleusercontent.com\/plMkcFRz9dE-xiHm7wkzhCBplbaGIBdvzy4y8LmGqBEaFAMV72IUx7DRx8uvaU_TVMkcOlwcgH_s12NMZFjni4gWrlANjcBH2RqyoFKzrks9q3SGUDpnd_ILZZ4ookIPxD-PJ2T5L-HS3GaWCJf8yEE\" alt=\"\" width=\"505\" height=\"263\"\/><figcaption class=\"wp-element-caption\"><em><em>Resim \u015furada mevcut <a href=\"https:\/\/www.alchemer.com\" target=\"_blank\" rel=\"noreferrer noopener\">alchemer.com<\/a><\/em><\/em><\/figcaption><\/figure><\/div>\n\n\n<p><a href=\"https:\/\/www.alchemer.com\/wp-content\/uploads\/2019\/04\/regression-analysis-2.png\"><\/a><\/p>\n\n\n\n<div style=\"height:21px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p>Bu denklem, haftada fazladan \u00e7al\u0131\u015f\u0131lan her saat i\u00e7in, \u00f6\u011frencinin not ortalamas\u0131n\u0131n 0,3 puan artaca\u011f\u0131n\u0131, di\u011fer her \u015feyin e\u015fit oldu\u011funu belirtir. Bu algoritma, bir \u00f6\u011frencinin haftada ka\u00e7 saat \u00e7al\u0131\u015ft\u0131\u011f\u0131na ba\u011fl\u0131 olarak not ortalamas\u0131n\u0131 tahmin etmek ve \u00e7al\u0131\u015fma rutinlerine ba\u011fl\u0131 olarak hangi \u00f6\u011frencilerin d\u00fc\u015f\u00fck performans g\u00f6sterme riski alt\u0131nda oldu\u011funu belirlemek i\u00e7in kullan\u0131labilir.&nbsp;<\/p>\n\n\n\n<p>\u00d6rnekteki verileri kullanarak, a\u015fa\u011f\u0131dakiler i\u00e7in de\u011ferler <strong>b<\/strong> ve <strong>a<\/strong> a\u015fa\u011f\u0131daki gibidir:<\/p>\n\n\n\n<p>n = 10 (g\u00f6zlem say\u0131s\u0131)<\/p>\n\n\n\n<p>\u03a3x = 30 (\u00e7al\u0131\u015fma saatlerinin toplam\u0131)<\/p>\n\n\n\n<p>\u03a3y = 25 (not ortalamalar\u0131n\u0131n toplam\u0131)<\/p>\n\n\n\n<p>\u03a3xy = 149 (\u00e7al\u0131\u015fma saatleri ve not ortalamalar\u0131n\u0131n \u00e7arp\u0131m\u0131n\u0131n toplam\u0131)<\/p>\n\n\n\n<p>\u03a3(x)<sup>2<\/sup> = 102 (\u00e7al\u0131\u015fma saatlerinin karelerinin toplam\u0131)<\/p>\n\n\n\n<p>Bu de\u011ferleri kullanarak \u015funlar\u0131 hesaplay\u0131n <strong>b<\/strong> gibi:<\/p>\n\n\n\n<p>b = (n\u03a3(xy) - \u03a3x\u03a3y) \/ (n\u03a3(x<sup>2<\/sup>) - (\u03a3x)<sup>2<\/sup>)<\/p>\n\n\n\n<p>= (10 * 149 &#8211; 30 * 25) \/ (10 * 102 &#8211; 30<sup>2<\/sup>)<\/p>\n\n\n\n<p>= 0.3<\/p>\n\n\n\n<p>Ve hesapla <strong>a <\/strong>gibi:<\/p>\n\n\n\n<p>a = (\u03a3y - b\u03a3x) \/ n<\/p>\n\n\n\n<p>= (25 &#8211; 0.3 * 30) \/ 10<\/p>\n\n\n\n<p>= 2.0<\/p>\n\n\n\n<p>Bu nedenle, en iyi uyum do\u011frusunun denklemi \u015f\u00f6yledir:&nbsp;<\/p>\n\n\n\n<p>GPA = 2.0 + 0.3 (haftada \u00e7al\u0131\u015f\u0131lan saat)<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-what-is-the-difference-between-correlation-and-regression\">Korelasyon ve regresyon aras\u0131ndaki fark nedir?<\/h2>\n\n\n\n<p>Hem korelasyon hem de regresyon, iki de\u011fi\u015fken aras\u0131ndaki ba\u011flant\u0131y\u0131 incelemek i\u00e7in kullan\u0131lan istatistiksel y\u00f6ntemlerdir. Farkl\u0131 ama\u00e7lara hizmet ederler ve farkl\u0131 t\u00fcrde bilgiler sa\u011flarlar.<\/p>\n\n\n\n<p>Korelasyon, iki de\u011fi\u015fken aras\u0131ndaki ba\u011flant\u0131n\u0131n g\u00fcc\u00fc ve seyrinin bir \u00f6l\u00e7\u00fcs\u00fcd\u00fcr. Korelasyon -1 ile +1 aras\u0131nda de\u011fi\u015fir; -1 m\u00fckemmel negatif korelasyonu, 0 korelasyon olmad\u0131\u011f\u0131n\u0131 ve +1 m\u00fckemmel pozitif korelasyonu temsil eder. Korelasyon, iki de\u011fi\u015fkenin ne derece ba\u011flant\u0131l\u0131 oldu\u011funu g\u00f6sterir, ancak neden veya \u00f6ng\u00f6r\u00fclebilirli\u011fi g\u00f6stermez.<\/p>\n\n\n\n<p>\u00d6te yandan regresyon, tipik olarak bir de\u011fi\u015fkeni di\u011ferine ba\u011fl\u0131 olarak tahmin etmek veya a\u00e7\u0131klamak i\u00e7in iki de\u011fi\u015fken aras\u0131ndaki ba\u011flant\u0131y\u0131 modelleme y\u00f6ntemidir. Regresyon analizi, ili\u015fkinin boyutu ve y\u00f6n\u00fc hakk\u0131nda tahminlerin yan\u0131 s\u0131ra istatistiksel anlaml\u0131l\u0131k testleri, g\u00fcven aral\u0131klar\u0131 ve gelecekteki sonu\u00e7 tahminleri sa\u011flayabilir.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-your-creations-ready-within-minutes\">Kreasyonlar\u0131n\u0131z, dakikalar i\u00e7inde haz\u0131r<\/h2>\n\n\n\n<p><a href=\"https:\/\/mindthegraph.com\" target=\"_blank\" rel=\"noreferrer noopener\">Mind the Graph<\/a> size benzersiz ihtiya\u00e7lar\u0131n\u0131z\u0131 kar\u015f\u0131lamak i\u00e7in kolayca de\u011fi\u015ftirilebilen kapsaml\u0131 bir bilimsel ill\u00fcstrasyon ve infografik tasar\u0131m k\u00fct\u00fcphanesi sunan \u00e7evrimi\u00e7i bir platformdur. S\u00fcr\u00fckle-b\u0131rak aray\u00fcz\u00fc ve \u00e7ok \u00e7e\u015fitli ara\u00e7 ve \u00f6zellikleri kullanarak dakikalar i\u00e7inde profesyonel g\u00f6r\u00fcn\u00fcml\u00fc \u00e7izelgeler, posterler ve grafik \u00f6zetler olu\u015fturun.&nbsp;<\/p>\n\n\n\n<div style=\"height:21px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><img decoding=\"async\" loading=\"lazy\" width=\"800\" height=\"500\" src=\"https:\/\/mindthegraph.com\/blog\/wp-content\/uploads\/2023\/05\/banco.gif\" alt=\"\" class=\"wp-image-28087\"\/><\/figure><\/div>\n\n\n<div style=\"height:21px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"is-layout-flex wp-block-buttons\">\n<div class=\"wp-block-button aligncenter\"><a class=\"wp-block-button__link has-background wp-element-button\" href=\"https:\/\/mindthegraph.com\/\" style=\"border-radius:50px;background-color:#dc1866\" target=\"_blank\" rel=\"noreferrer noopener\">Mind the Graph ile Yaratmaya Ba\u015flay\u0131n<\/a><\/div>\n<\/div>\n\n\n\n<div style=\"height:44px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>","protected":false},"excerpt":{"rendered":"<p>Kapsaml\u0131 bir \u00f6rnek kullanarak regresyon analizinin nas\u0131l \u00e7al\u0131\u015ft\u0131\u011f\u0131n\u0131 kolayl\u0131kla anlay\u0131n ve en yayg\u0131n form\u00fclleri \u00f6\u011frenin. <\/p>","protected":false},"author":28,"featured_media":28437,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[959,28],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v19.9 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Using Regression Analysis to Understand Complex Relationships - Mind the Graph Blog<\/title>\n<meta name=\"description\" content=\"Understand how regression analysis works with ease using a comprehensive example and learn the most common formulas.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/mindthegraph.com\/blog\/tr\/\u0440\u0435\u0433\u0440\u0435\u0441\u0456\u0439\u043d\u0438\u0439-\u0430\u043d\u0430\u043b\u0456\u0437\/\" \/>\n<meta property=\"og:locale\" content=\"tr_TR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Using Regression Analysis to Understand Complex Relationships\" \/>\n<meta property=\"og:description\" content=\"Understand how regression analysis works with ease using a comprehensive example and learn the most common formulas.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/mindthegraph.com\/blog\/tr\/\u0440\u0435\u0433\u0440\u0435\u0441\u0456\u0439\u043d\u0438\u0439-\u0430\u043d\u0430\u043b\u0456\u0437\/\" \/>\n<meta property=\"og:site_name\" content=\"Mind the Graph Blog\" \/>\n<meta property=\"article:published_time\" content=\"2023-06-20T21:17:37+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2023-07-03T21:36:10+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/mindthegraph.com\/blog\/wp-content\/uploads\/2023\/07\/regression-analysis-blog.png\" \/>\n\t<meta property=\"og:image:width\" content=\"1124\" \/>\n\t<meta property=\"og:image:height\" content=\"613\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"Jessica Abbadia\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:title\" content=\"Using Regression Analysis to Understand Complex Relationships\" \/>\n<meta name=\"twitter:description\" content=\"Understand how regression analysis works with ease using a comprehensive example and learn the most common formulas.\" \/>\n<meta name=\"twitter:image\" content=\"https:\/\/mindthegraph.com\/blog\/wp-content\/uploads\/2023\/07\/regression-analysis-blog.png\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Jessica Abbadia\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"6 minutes\" \/>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Using Regression Analysis to Understand Complex Relationships - Mind the Graph Blog","description":"Understand how regression analysis works with ease using a comprehensive example and learn the most common formulas.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/mindthegraph.com\/blog\/tr\/\u0440\u0435\u0433\u0440\u0435\u0441\u0456\u0439\u043d\u0438\u0439-\u0430\u043d\u0430\u043b\u0456\u0437\/","og_locale":"tr_TR","og_type":"article","og_title":"Using Regression Analysis to Understand Complex Relationships","og_description":"Understand how regression analysis works with ease using a comprehensive example and learn the most common formulas.","og_url":"https:\/\/mindthegraph.com\/blog\/tr\/\u0440\u0435\u0433\u0440\u0435\u0441\u0456\u0439\u043d\u0438\u0439-\u0430\u043d\u0430\u043b\u0456\u0437\/","og_site_name":"Mind the Graph Blog","article_published_time":"2023-06-20T21:17:37+00:00","article_modified_time":"2023-07-03T21:36:10+00:00","og_image":[{"width":1124,"height":613,"url":"https:\/\/mindthegraph.com\/blog\/wp-content\/uploads\/2023\/07\/regression-analysis-blog.png","type":"image\/png"}],"author":"Jessica Abbadia","twitter_card":"summary_large_image","twitter_title":"Using Regression Analysis to Understand Complex Relationships","twitter_description":"Understand how regression analysis works with ease using a comprehensive example and learn the most common formulas.","twitter_image":"https:\/\/mindthegraph.com\/blog\/wp-content\/uploads\/2023\/07\/regression-analysis-blog.png","twitter_misc":{"Written by":"Jessica Abbadia","Est. reading time":"6 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/mindthegraph.com\/blog\/uk\/%d1%80%d0%b5%d0%b3%d1%80%d0%b5%d1%81%d1%96%d0%b9%d0%bd%d0%b8%d0%b9-%d0%b0%d0%bd%d0%b0%d0%bb%d1%96%d0%b7\/","url":"https:\/\/mindthegraph.com\/blog\/uk\/%d1%80%d0%b5%d0%b3%d1%80%d0%b5%d1%81%d1%96%d0%b9%d0%bd%d0%b8%d0%b9-%d0%b0%d0%bd%d0%b0%d0%bb%d1%96%d0%b7\/","name":"Using Regression Analysis to Understand Complex Relationships - Mind the Graph Blog","isPartOf":{"@id":"https:\/\/mindthegraph.com\/blog\/#website"},"datePublished":"2023-06-20T21:17:37+00:00","dateModified":"2023-07-03T21:36:10+00:00","author":{"@id":"https:\/\/mindthegraph.com\/blog\/#\/schema\/person\/96ecc2d785106e951f7773dc7c96d699"},"description":"Understand how regression analysis works with ease using a comprehensive example and learn the most common formulas.","breadcrumb":{"@id":"https:\/\/mindthegraph.com\/blog\/uk\/%d1%80%d0%b5%d0%b3%d1%80%d0%b5%d1%81%d1%96%d0%b9%d0%bd%d0%b8%d0%b9-%d0%b0%d0%bd%d0%b0%d0%bb%d1%96%d0%b7\/#breadcrumb"},"inLanguage":"tr-TR","potentialAction":[{"@type":"ReadAction","target":["https:\/\/mindthegraph.com\/blog\/uk\/%d1%80%d0%b5%d0%b3%d1%80%d0%b5%d1%81%d1%96%d0%b9%d0%bd%d0%b8%d0%b9-%d0%b0%d0%bd%d0%b0%d0%bb%d1%96%d0%b7\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/mindthegraph.com\/blog\/uk\/%d1%80%d0%b5%d0%b3%d1%80%d0%b5%d1%81%d1%96%d0%b9%d0%bd%d0%b8%d0%b9-%d0%b0%d0%bd%d0%b0%d0%bb%d1%96%d0%b7\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/mindthegraph.com\/blog\/"},{"@type":"ListItem","position":2,"name":"Using Regression Analysis to Understand Complex Relationships"}]},{"@type":"WebSite","@id":"https:\/\/mindthegraph.com\/blog\/#website","url":"https:\/\/mindthegraph.com\/blog\/","name":"Mind the Graph Blog","description":"Your science can be beautiful!","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/mindthegraph.com\/blog\/?s={search_term_string}"},"query-input":"required name=search_term_string"}],"inLanguage":"tr-TR"},{"@type":"Person","@id":"https:\/\/mindthegraph.com\/blog\/#\/schema\/person\/96ecc2d785106e951f7773dc7c96d699","name":"Jessica Abbadia","image":{"@type":"ImageObject","inLanguage":"tr-TR","@id":"https:\/\/mindthegraph.com\/blog\/#\/schema\/person\/image\/","url":"https:\/\/secure.gravatar.com\/avatar\/f477bd20199beb376b04b2fda9a2cec5?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/f477bd20199beb376b04b2fda9a2cec5?s=96&d=mm&r=g","caption":"Jessica Abbadia"},"description":"Jessica Abbadia is a lawyer that has been working in Digital Marketing since 2020, improving organic performance for apps and websites in various regions through ASO and SEO. Currently developing scientific and intellectual knowledge for the community's benefit. Jessica is an animal rights activist who enjoys reading and drinking strong coffee.","sameAs":["https:\/\/www.linkedin.com\/in\/jessica-abbadia-9b834a13b\/"],"url":"https:\/\/mindthegraph.com\/blog\/tr\/author\/jessica\/"}]}},"_links":{"self":[{"href":"https:\/\/mindthegraph.com\/blog\/tr\/wp-json\/wp\/v2\/posts\/28434"}],"collection":[{"href":"https:\/\/mindthegraph.com\/blog\/tr\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/mindthegraph.com\/blog\/tr\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/mindthegraph.com\/blog\/tr\/wp-json\/wp\/v2\/users\/28"}],"replies":[{"embeddable":true,"href":"https:\/\/mindthegraph.com\/blog\/tr\/wp-json\/wp\/v2\/comments?post=28434"}],"version-history":[{"count":4,"href":"https:\/\/mindthegraph.com\/blog\/tr\/wp-json\/wp\/v2\/posts\/28434\/revisions"}],"predecessor-version":[{"id":28445,"href":"https:\/\/mindthegraph.com\/blog\/tr\/wp-json\/wp\/v2\/posts\/28434\/revisions\/28445"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/mindthegraph.com\/blog\/tr\/wp-json\/wp\/v2\/media\/28437"}],"wp:attachment":[{"href":"https:\/\/mindthegraph.com\/blog\/tr\/wp-json\/wp\/v2\/media?parent=28434"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mindthegraph.com\/blog\/tr\/wp-json\/wp\/v2\/categories?post=28434"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mindthegraph.com\/blog\/tr\/wp-json\/wp\/v2\/tags?post=28434"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}