{"id":659,"date":"2020-09-22T02:30:38","date_gmt":"2020-09-22T02:30:38","guid":{"rendered":"https:\/\/support.divominer.com\/en\/index.php\/docs\/divominer-user-manual-2\/statistical-analysis\/correlation-analysis\/"},"modified":"2025-12-19T09:45:04","modified_gmt":"2025-12-19T09:45:04","slug":"relevance-analysis","status":"publish","type":"docs","link":"https:\/\/support.divominer.com\/en\/docs\/divominer-user-manual\/statistical-analysis\/relevance-analysis\/","title":{"rendered":"Relevance measurement"},"content":{"rendered":"\n<p><span lang=\"EN-US\">Relevance measurement<\/span> <span lang=\"EN-US\">analysis is a statistical method used to evaluate the strength of the associations between two or more quantitative variables. It is used to describe whether the observed facts are related, the direction of the correlation, and the closeness of the correlation. <\/span><\/p>\n\n\n\n<p><span lang=\"EN-US\">Drag two variables in the \u201cDimension\u201d field, then drag a variable in the \u201cValue\u201d field, click the Relevance analysis in the Statistical module, and select the coefficient method to calculate the relevance between the variables.<\/span><\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" width=\"1024\" height=\"513\" src=\"https:\/\/support.divominer.com\/en\/wp-content\/uploads\/2021\/11\/44-1-1024x513.png\" alt=\"\" class=\"wp-image-8478\" srcset=\"https:\/\/support.divominer.com\/en\/wp-content\/uploads\/2021\/11\/44-1-1024x513.png 1024w, https:\/\/support.divominer.com\/en\/wp-content\/uploads\/2021\/11\/44-1-300x150.png 300w, https:\/\/support.divominer.com\/en\/wp-content\/uploads\/2021\/11\/44-1-768x385.png 768w, https:\/\/support.divominer.com\/en\/wp-content\/uploads\/2021\/11\/44-1-50x25.png 50w, https:\/\/support.divominer.com\/en\/wp-content\/uploads\/2021\/11\/44-1-920x461.png 920w, https:\/\/support.divominer.com\/en\/wp-content\/uploads\/2021\/11\/44-1-600x300.png 600w, https:\/\/support.divominer.com\/en\/wp-content\/uploads\/2021\/11\/44-1-320x160.png 320w, https:\/\/support.divominer.com\/en\/wp-content\/uploads\/2021\/11\/44-1.png 1318w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n","protected":false},"featured_media":0,"parent":573,"menu_order":6,"comment_status":"open","ping_status":"closed","template":"","doc_tag":[],"_links":{"self":[{"href":"https:\/\/support.divominer.com\/en\/wp-json\/wp\/v2\/docs\/659"}],"collection":[{"href":"https:\/\/support.divominer.com\/en\/wp-json\/wp\/v2\/docs"}],"about":[{"href":"https:\/\/support.divominer.com\/en\/wp-json\/wp\/v2\/types\/docs"}],"replies":[{"embeddable":true,"href":"https:\/\/support.divominer.com\/en\/wp-json\/wp\/v2\/comments?post=659"}],"version-history":[{"count":10,"href":"https:\/\/support.divominer.com\/en\/wp-json\/wp\/v2\/docs\/659\/revisions"}],"predecessor-version":[{"id":9458,"href":"https:\/\/support.divominer.com\/en\/wp-json\/wp\/v2\/docs\/659\/revisions\/9458"}],"up":[{"embeddable":true,"href":"https:\/\/support.divominer.com\/en\/wp-json\/wp\/v2\/docs\/573"}],"next":[{"title":"Chi-square","link":"https:\/\/support.divominer.com\/en\/docs\/divominer-user-manual\/statistical-analysis\/chi-square-test\/","href":"https:\/\/support.divominer.com\/en\/wp-json\/wp\/v2\/docs\/657"}],"prev":[{"title":"Descriptive statistics","link":"https:\/\/support.divominer.com\/en\/docs\/divominer-user-manual\/statistical-analysis\/descriptive-statistics\/","href":"https:\/\/support.divominer.com\/en\/wp-json\/wp\/v2\/docs\/655"}],"wp:attachment":[{"href":"https:\/\/support.divominer.com\/en\/wp-json\/wp\/v2\/media?parent=659"}],"wp:term":[{"taxonomy":"doc_tag","embeddable":true,"href":"https:\/\/support.divominer.com\/en\/wp-json\/wp\/v2\/doc_tag?post=659"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}