{"id":659,"date":"2020-09-22T02:30:38","date_gmt":"2020-09-22T02:30:38","guid":{"rendered":"https:\/\/helper.divominer.com\/hkbucomm\/index.php\/docs\/divominer-user-manual-2\/statistical-analysis\/correlation-analysis\/"},"modified":"2022-07-04T07:00:57","modified_gmt":"2022-07-04T07:00:57","slug":"relevance-analysis","status":"publish","type":"docs","link":"https:\/\/helper.divominer.com\/hkbucomm\/blog\/docs\/divominer-user-manual\/statistical-analysis\/relevance-analysis\/","title":{"rendered":"Correlation Analysis"},"content":{"rendered":"\n<p>Correlation Analysis<span lang=\"EN-US\"> 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 <\/span>Correlation Analysis<span lang=\"EN-US\"> 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=\"505\" src=\"https:\/\/helper.divominer.com\/hkbucomm\/wp-content\/uploads\/sites\/3\/2022\/07\/6-1-1024x505.png\" alt=\"\" class=\"wp-image-9798\" srcset=\"https:\/\/helper.divominer.com\/hkbucomm\/wp-content\/uploads\/sites\/3\/2022\/07\/6-1-1024x505.png 1024w, https:\/\/helper.divominer.com\/hkbucomm\/wp-content\/uploads\/sites\/3\/2022\/07\/6-1-300x148.png 300w, https:\/\/helper.divominer.com\/hkbucomm\/wp-content\/uploads\/sites\/3\/2022\/07\/6-1-768x379.png 768w, https:\/\/helper.divominer.com\/hkbucomm\/wp-content\/uploads\/sites\/3\/2022\/07\/6-1-50x25.png 50w, https:\/\/helper.divominer.com\/hkbucomm\/wp-content\/uploads\/sites\/3\/2022\/07\/6-1-1536x757.png 1536w, https:\/\/helper.divominer.com\/hkbucomm\/wp-content\/uploads\/sites\/3\/2022\/07\/6-1-920x454.png 920w, https:\/\/helper.divominer.com\/hkbucomm\/wp-content\/uploads\/sites\/3\/2022\/07\/6-1-600x296.png 600w, https:\/\/helper.divominer.com\/hkbucomm\/wp-content\/uploads\/sites\/3\/2022\/07\/6-1-320x158.png 320w, https:\/\/helper.divominer.com\/hkbucomm\/wp-content\/uploads\/sites\/3\/2022\/07\/6-1.png 1600w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n","protected":false},"featured_media":0,"parent":573,"menu_order":4,"comment_status":"open","ping_status":"closed","template":"","doc_tag":[],"_links":{"self":[{"href":"https:\/\/helper.divominer.com\/hkbucomm\/wp-json\/wp\/v2\/docs\/659"}],"collection":[{"href":"https:\/\/helper.divominer.com\/hkbucomm\/wp-json\/wp\/v2\/docs"}],"about":[{"href":"https:\/\/helper.divominer.com\/hkbucomm\/wp-json\/wp\/v2\/types\/docs"}],"replies":[{"embeddable":true,"href":"https:\/\/helper.divominer.com\/hkbucomm\/wp-json\/wp\/v2\/comments?post=659"}],"version-history":[{"count":11,"href":"https:\/\/helper.divominer.com\/hkbucomm\/wp-json\/wp\/v2\/docs\/659\/revisions"}],"predecessor-version":[{"id":9799,"href":"https:\/\/helper.divominer.com\/hkbucomm\/wp-json\/wp\/v2\/docs\/659\/revisions\/9799"}],"up":[{"embeddable":true,"href":"https:\/\/helper.divominer.com\/hkbucomm\/wp-json\/wp\/v2\/docs\/573"}],"next":[{"title":"Chi-square","link":"https:\/\/helper.divominer.com\/hkbucomm\/blog\/docs\/divominer-user-manual\/statistical-analysis\/chi-square-test\/","href":"https:\/\/helper.divominer.com\/hkbucomm\/wp-json\/wp\/v2\/docs\/657"}],"prev":[{"title":"Descriptive Statistical Analysis","link":"https:\/\/helper.divominer.com\/hkbucomm\/blog\/docs\/divominer-user-manual\/statistical-analysis\/descriptive-statistics\/","href":"https:\/\/helper.divominer.com\/hkbucomm\/wp-json\/wp\/v2\/docs\/655"}],"wp:attachment":[{"href":"https:\/\/helper.divominer.com\/hkbucomm\/wp-json\/wp\/v2\/media?parent=659"}],"wp:term":[{"taxonomy":"doc_tag","embeddable":true,"href":"https:\/\/helper.divominer.com\/hkbucomm\/wp-json\/wp\/v2\/doc_tag?post=659"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}