{"id":4558,"date":"2026-08-11T10:25:41","date_gmt":"2026-08-11T08:25:41","guid":{"rendered":"https:\/\/ellistat.com\/?post_type=guide-dutilisateur&#038;p=4558"},"modified":"2026-11-06T15:49:30","modified_gmt":"2026-11-06T14:49:30","slug":"korrelation-und-regression","status":"publish","type":"guide-dutilisateur","link":"https:\/\/ellistat.com\/de\/guide-dutilisateur\/correlation-et-regression\/","title":{"rendered":"Korrelation und lineare Regression: Eine Anleitung"},"content":{"rendered":"<ul class=\"wp-block-list\">\n<li><strong>Wolke XY<\/strong>\u00a0: die grundlegende Grafik, die den Zusammenhang zwischen zwei Messwerten darstellt, mit der Regressionsgeraden.<\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"964\" height=\"652\" src=\"https:\/\/ellistat.com\/wp-content\/uploads\/correlation.png\" alt=\"\" class=\"wp-image-4559\" srcset=\"https:\/\/ellistat.com\/wp-content\/uploads\/correlation.png 964w, https:\/\/ellistat.com\/wp-content\/uploads\/correlation-300x203.png 300w, https:\/\/ellistat.com\/wp-content\/uploads\/correlation-768x519.png 768w, https:\/\/ellistat.com\/wp-content\/uploads\/correlation-18x12.png 18w\" sizes=\"auto, (max-width: 964px) 100vw, 964px\" \/><\/figure>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Korrelationsmatrix<\/strong>\u00a0: alle Paare quantitativer Variablen auf einen Blick. Das ist die Auswertungsansicht, wenn man zehn Merkmale und keine Hypothesen hat.<\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"964\" height=\"646\" src=\"https:\/\/ellistat.com\/wp-content\/uploads\/matrice-de-correlation.png\" alt=\"\" class=\"wp-image-4560\" srcset=\"https:\/\/ellistat.com\/wp-content\/uploads\/matrice-de-correlation.png 964w, https:\/\/ellistat.com\/wp-content\/uploads\/matrice-de-correlation-300x201.png 300w, https:\/\/ellistat.com\/wp-content\/uploads\/matrice-de-correlation-768x515.png 768w, https:\/\/ellistat.com\/wp-content\/uploads\/matrice-de-correlation-18x12.png 18w\" sizes=\"auto, (max-width: 964px) 100vw, 964px\" \/><\/figure>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Grenzverteilung<\/strong>\u00a0: die XY-Wolke, umrandet durch die Verteilung jeder Variablen. N\u00fctzlich, wenn die Form der Verteilungen ebenso wichtig ist wie ihre Beziehung zueinander.<\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"964\" height=\"652\" src=\"https:\/\/ellistat.com\/wp-content\/uploads\/distribution-marginale.png\" alt=\"\" class=\"wp-image-4561\" srcset=\"https:\/\/ellistat.com\/wp-content\/uploads\/distribution-marginale.png 964w, https:\/\/ellistat.com\/wp-content\/uploads\/distribution-marginale-300x203.png 300w, https:\/\/ellistat.com\/wp-content\/uploads\/distribution-marginale-768x519.png 768w, https:\/\/ellistat.com\/wp-content\/uploads\/distribution-marginale-18x12.png 18w\" sizes=\"auto, (max-width: 964px) 100vw, 964px\" \/><\/figure>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>3D-Grafik<\/strong>\u00a0: drei quantitative Variablen im Raum.<\/li>\n<\/ul>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p class=\"wp-block-paragraph\">\u26a0\ufe0f\u00a0<strong>Korrelation ist nicht gleichbedeutend mit Kausalit\u00e4t.<\/strong>\u00a0Zwei Gr\u00f6\u00dfen k\u00f6nnen sich gemeinsam \u00e4ndern, weil eine dritte Gr\u00f6\u00dfe sie beeinflusst: Die Umgebungstemperatur bewirkt sowohl eine Ausdehnung des Raums als auch eine Abweichung des Sensors. Die Wolke zeigt einen sch\u00f6nen Zusammenhang, und eine Ver\u00e4nderung der einen Gr\u00f6\u00dfe hat keinen Einfluss auf die andere. Nur ein Versuchsplan belegt einen Kausalzusammenhang.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\ud83d\udca1 Schau dir immer die Streuung an, bevor du einem Koeffizienten Glauben schenkst. Eine Korrelation von 0,9 kann bereits durch einen einzigen Extremwert entstehen, und eine sehr deutliche Glockenkurve ergibt einen Koeffizienten nahe Null. Die Zahl fasst zusammen, die Streuung gibt Aufschluss.<\/p>\n<\/blockquote>","protected":false},"featured_media":0,"menu_order":70,"template":"","meta":{"_acf_changed":true},"menu-guide-dutilisateur":[21],"class_list":["post-4558","guide-dutilisateur","type-guide-dutilisateur","status-publish","hentry","menu-guide-dutilisateur-3-graphiques"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.8 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Corr\u00e9lation et r\u00e9gression lin\u00e9aire : mode d&#039;emploi - Ellistat<\/title>\n<meta name=\"description\" content=\"Mesurer la liaison entre deux variables, ajuster une droite de r\u00e9gression et lire le coefficient de corr\u00e9lation dans Ellistat.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/ellistat.com\/de\/benutzerhandbuch\/korrelation-und-regression\/\" \/>\n<meta property=\"og:locale\" content=\"de_DE\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Corr\u00e9lation et r\u00e9gression lin\u00e9aire : mode d&#039;emploi - 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