{"id":225,"date":"2019-01-06T19:22:43","date_gmt":"2019-01-06T19:22:43","guid":{"rendered":"http:\/\/ifx0.com\/?p=225"},"modified":"2019-01-06T20:52:08","modified_gmt":"2019-01-06T20:52:08","slug":"correlation-coefficient","status":"publish","type":"post","link":"https:\/\/ifx0.com\/index.php\/2019\/01\/06\/correlation-coefficient\/","title":{"rendered":"Definition of Correlation Coefficient"},"content":{"rendered":"\n<p>The correlation coefficient is a statistical measure that calculates the strength of the relationship between the relative movements of the two variables.\u00a0There are several types of correlation coefficient: Pearson\u2019s correlation (also called Pearson\u2019s\u00a0<em>R<\/em>) is a\u00a0<strong>correlation coefficient\u00a0<\/strong>commonly used in linear regression.<\/p>\n<ul>\n<li>1 indicates a strong positive relationship.<\/li>\n<li>-1 indicates a strong negative relationship.<\/li>\n<li>A result of zero indicates no relationship at all.<\/li>\n<\/ul>\n<p>\u00a0<\/p>\n<ul>\n<li>For\u00a0<strong><a href=\"https:\/\/www.spss-tutorials.com\/measurement-levels\/#ordinal-variable\">ordinal variables<\/a><\/strong>, use the Spearman correlation or Kendall\u2019s tau and<\/li>\n<li>for\u00a0<strong><a href=\"https:\/\/www.spss-tutorials.com\/measurement-levels\/#nominal-variable\">nominal variables<\/a><\/strong>, use\u00a0<a href=\"https:\/\/www.spss-tutorials.com\/cramers-v-what-and-why\/\">Cram\u00e9r\u2019s V<\/a>.<\/li>\n<li>\u00a0<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>The correlation coefficient is a statistical measure that calculates the strength of the relationship between the relative movements of the two variables.\u00a0There are several types of correlation coefficient: Pearson\u2019s correlation (also called Pearson\u2019s\u00a0R) is a\u00a0correlation coefficient\u00a0commonly used in linear regression. <a href=\"https:\/\/ifx0.com\/index.php\/2019\/01\/06\/correlation-coefficient\/\" class=\"read-more\">Read More &#8230;<\/a><\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[15],"tags":[],"class_list":["post-225","post","type-post","status-publish","format-standard","hentry","category-statistics"],"_links":{"self":[{"href":"https:\/\/ifx0.com\/index.php\/wp-json\/wp\/v2\/posts\/225","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ifx0.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/ifx0.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/ifx0.com\/index.php\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/ifx0.com\/index.php\/wp-json\/wp\/v2\/comments?post=225"}],"version-history":[{"count":2,"href":"https:\/\/ifx0.com\/index.php\/wp-json\/wp\/v2\/posts\/225\/revisions"}],"predecessor-version":[{"id":227,"href":"https:\/\/ifx0.com\/index.php\/wp-json\/wp\/v2\/posts\/225\/revisions\/227"}],"wp:attachment":[{"href":"https:\/\/ifx0.com\/index.php\/wp-json\/wp\/v2\/media?parent=225"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ifx0.com\/index.php\/wp-json\/wp\/v2\/categories?post=225"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ifx0.com\/index.php\/wp-json\/wp\/v2\/tags?post=225"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}