{"id":2420,"date":"2019-08-01T06:37:45","date_gmt":"2019-08-01T06:37:45","guid":{"rendered":"https:\/\/www.aiproblog.com\/index.php\/2019\/08\/01\/regression-analysis-in-one-picture\/"},"modified":"2019-08-01T06:37:45","modified_gmt":"2019-08-01T06:37:45","slug":"regression-analysis-in-one-picture","status":"publish","type":"post","link":"https:\/\/www.aiproblog.com\/index.php\/2019\/08\/01\/regression-analysis-in-one-picture\/","title":{"rendered":"Regression Analysis in One Picture"},"content":{"rendered":"<p>Author: Stephanie Glen<\/p>\n<div>\n<p>The basic idea behind\u00a0<a href=\"https:\/\/www.statisticshowto.datasciencecentral.com\/probability-and-statistics\/regression-analysis\/\" target=\"_blank\" rel=\"noopener noreferrer\">regression analysis<\/a> is to take a set of data and use that data to make predictions. A useful first step is to make a <a href=\"https:\/\/www.statisticshowto.datasciencecentral.com\/probability-and-statistics\/regression-analysis\/scatter-plot-chart\/\" target=\"_blank\" rel=\"noopener noreferrer\">scatter plot<\/a>\u00a0to see the rough shape of your data. Then, choose a regression method to find the <a href=\"https:\/\/www.statisticshowto.datasciencecentral.com\/line-of-best-fit\/\" target=\"_blank\" rel=\"noopener noreferrer\">line of best fit<\/a>. Which method you choose depends upon the shape the scatter plot reveals (is it a line, a curve, or a parabola?) and what special situations, if any, your data has. The following image shows an overview of regression; See below for links to more detail.<\/p>\n<p><a href=\"https:\/\/storage.ning.com\/topology\/rest\/1.0\/file\/get\/3398634111?profile=original\" target=\"_blank\" rel=\"noopener noreferrer\"><img decoding=\"async\" src=\"https:\/\/storage.ning.com\/topology\/rest\/1.0\/file\/get\/3398634111?profile=RESIZE_710x\" class=\"align-full\"><\/a><\/p>\n<h2>Further Reading<\/h2>\n<p><a href=\"https:\/\/www.statisticshowto.datasciencecentral.com\/probability-and-statistics\/regression-analysis\/find-a-linear-regression-equation\/\" target=\"_blank\" rel=\"noopener noreferrer\">Linear Regression<\/a><\/p>\n<p><a href=\"https:\/\/www.statisticshowto.datasciencecentral.com\/logistic-regression\/\" target=\"_blank\" rel=\"noopener noreferrer\">Logistic Regression<\/a><\/p>\n<p><a href=\"https:\/\/www.statisticshowto.datasciencecentral.com\/ridge-regression\/\" target=\"_blank\" rel=\"noopener noreferrer\">Ridge Regression<\/a><\/p>\n<p><a href=\"https:\/\/www.statisticshowto.datasciencecentral.com\/lasso-regression\/\" target=\"_blank\" rel=\"noopener noreferrer\">Lasso Regression<\/a><\/p>\n<p><a href=\"https:\/\/www.statisticshowto.datasciencecentral.com\/stepwise-regression\/\" target=\"_blank\" rel=\"noopener noreferrer\">Stepwise Regression<\/a><\/p>\n<\/div>\n<p><a href=\"https:\/\/www.datasciencecentral.com\/xn\/detail\/6448529:BlogPost:863398\">Go to Source<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Author: Stephanie Glen The basic idea behind\u00a0regression analysis is to take a set of data and use that data to make predictions. A useful first [&hellip;] <span class=\"read-more-link\"><a class=\"read-more\" href=\"https:\/\/www.aiproblog.com\/index.php\/2019\/08\/01\/regression-analysis-in-one-picture\/\">Read More<\/a><\/span><\/p>\n","protected":false},"author":1,"featured_media":474,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_bbp_topic_count":0,"_bbp_reply_count":0,"_bbp_total_topic_count":0,"_bbp_total_reply_count":0,"_bbp_voice_count":0,"_bbp_anonymous_reply_count":0,"_bbp_topic_count_hidden":0,"_bbp_reply_count_hidden":0,"_bbp_forum_subforum_count":0,"footnotes":""},"categories":[26],"tags":[],"_links":{"self":[{"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/posts\/2420"}],"collection":[{"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/comments?post=2420"}],"version-history":[{"count":0,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/posts\/2420\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/media\/469"}],"wp:attachment":[{"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/media?parent=2420"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/categories?post=2420"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/tags?post=2420"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}