{"id":1496,"date":"2023-06-22T02:36:56","date_gmt":"2023-06-22T02:36:56","guid":{"rendered":"https:\/\/content.one.lumenlearning.com\/introstatstest\/chapter\/interaction-terms-learn-it-3\/"},"modified":"2025-05-28T19:30:53","modified_gmt":"2025-05-28T19:30:53","slug":"interaction-terms-learn-it-3","status":"publish","type":"chapter","link":"https:\/\/content.one.lumenlearning.com\/introstatstest\/chapter\/interaction-terms-learn-it-3\/","title":{"raw":"Interaction Terms - Learn It 3","rendered":"Interaction Terms &#8211; Learn It 3"},"content":{"raw":"<section class=\"textbox learningGoals\">\r\n<ul>\r\n\t<li>Know what an interaction term is and use a scatterplot to understand the interaction effects<\/li>\r\n\t<li>Write appropriate multiple linear regression model equations for categorical predictors and interaction terms<\/li>\r\n<\/ul>\r\n<\/section>\r\n<section class=\"textbox keyTakeaway\">\r\n<h3><strong>interaction term<\/strong><\/h3>\r\n<p>An\u00a0<strong>interaction<\/strong>\u00a0occurs when an explanatory variable has a different effect on the response variable, depending on the values of another explanatory variable.<\/p>\r\n<p>An <strong>interaction term<\/strong> is a variable that represents an interaction between two variables.<\/p>\r\n<\/section>\r\n<section>A scatterplot and its regression lines can reveal the presence or absence of interactions among explanatory variables.\u00a0<\/section>\r\n<section>To understand potential interaction effects, compare the regression lines from the interaction plot:<\/section>\r\n<ul>\r\n\t<li>If the regression lines are parallel, there is no interaction.<\/li>\r\n\t<li>If the regression lines are not parallel, there is an interaction.<\/li>\r\n<\/ul>\r\n<section class=\"textbox interact\"><strong>Step 1: <\/strong>Upload the data set \"<a href=\"https:\/\/course-building.s3.us-west-2.amazonaws.com\/Statistics+Exemplar\/Data+Set+Files\/PulseRate_FINAL.csv\">Pulse Rate<\/a>\" into the statistical tool below<br \/>\r\n<strong>Step 2: <\/strong>Select \"Weight\" as the <strong>X-Variable<\/strong>, \"Pulse1\" as the\u00a0<strong>Y-Variable<\/strong>, and \"Exercise\" as the <strong>Grouping Variable<\/strong><strong><br \/>\r\n<\/strong><strong>Step 3: <\/strong>Click the\u00a0<strong>Regression Line<\/strong> box<\/section>\r\n<p><iframe src=\"https:\/\/lumen-learning.shinyapps.io\/multivariaterelationship\/\" width=\"100%\" height=\"950\" frameborder=\"no\"><span data-mce-type=\"bookmark\" style=\"display: inline-block; width: 0px; overflow: hidden; line-height: 0;\" class=\"mce_SELRES_start\">\ufeff<\/span><\/iframe><br \/>\r\n[<a href=\"https:\/\/lumen-learning.shinyapps.io\/multivariaterelationship\/\" target=\"_blank\" rel=\"noopener\">Trouble viewing? Click to open in a new tab.<\/a>]<\/p>\r\n<section class=\"textbox tryIt\">[ohm2_question hide_question_numbers=1]3109[\/ohm2_question]<\/section>","rendered":"<section class=\"textbox learningGoals\">\n<ul>\n<li>Know what an interaction term is and use a scatterplot to understand the interaction effects<\/li>\n<li>Write appropriate multiple linear regression model equations for categorical predictors and interaction terms<\/li>\n<\/ul>\n<\/section>\n<section class=\"textbox keyTakeaway\">\n<h3><strong>interaction term<\/strong><\/h3>\n<p>An\u00a0<strong>interaction<\/strong>\u00a0occurs when an explanatory variable has a different effect on the response variable, depending on the values of another explanatory variable.<\/p>\n<p>An <strong>interaction term<\/strong> is a variable that represents an interaction between two variables.<\/p>\n<\/section>\n<section>A scatterplot and its regression lines can reveal the presence or absence of interactions among explanatory variables.\u00a0<\/section>\n<section>To understand potential interaction effects, compare the regression lines from the interaction plot:<\/section>\n<ul>\n<li>If the regression lines are parallel, there is no interaction.<\/li>\n<li>If the regression lines are not parallel, there is an interaction.<\/li>\n<\/ul>\n<section class=\"textbox interact\"><strong>Step 1: <\/strong>Upload the data set &#8220;<a href=\"https:\/\/course-building.s3.us-west-2.amazonaws.com\/Statistics+Exemplar\/Data+Set+Files\/PulseRate_FINAL.csv\">Pulse Rate<\/a>&#8221; into the statistical tool below<br \/>\n<strong>Step 2: <\/strong>Select &#8220;Weight&#8221; as the <strong>X-Variable<\/strong>, &#8220;Pulse1&#8221; as the\u00a0<strong>Y-Variable<\/strong>, and &#8220;Exercise&#8221; as the <strong>Grouping Variable<\/strong><strong><br \/>\n<\/strong><strong>Step 3: <\/strong>Click the\u00a0<strong>Regression Line<\/strong> box<\/section>\n<p><iframe loading=\"lazy\" src=\"https:\/\/lumen-learning.shinyapps.io\/multivariaterelationship\/\" width=\"100%\" height=\"950\" frameborder=\"no\"><span data-mce-type=\"bookmark\" style=\"display: inline-block; width: 0px; overflow: hidden; line-height: 0;\" class=\"mce_SELRES_start\">\ufeff<\/span><\/iframe><br \/>\n[<a href=\"https:\/\/lumen-learning.shinyapps.io\/multivariaterelationship\/\" target=\"_blank\" rel=\"noopener\">Trouble viewing? Click to open in a new tab.<\/a>]<\/p>\n<section class=\"textbox tryIt\"><iframe loading=\"lazy\" id=\"ohm3109\" class=\"resizable\" src=\"https:\/\/ohm.one.lumenlearning.com\/multiembedq.php?id=3109&theme=lumen&iframe_resize_id=ohm3109&source=tnh\" width=\"100%\" height=\"150\"><\/iframe><\/section>\n","protected":false},"author":8,"menu_order":23,"template":"","meta":{"_candela_citation":"[]","pb_show_title":"on","pb_short_title":"","pb_subtitle":"","pb_authors":[],"pb_section_license":""},"chapter-type":[],"contributor":[],"license":[],"part":1473,"module-header":"learn_it","content_attributions":[],"internal_book_links":[],"video_content":null,"cc_video_embed_content":{"cc_scripts":"","media_targets":[]},"try_it_collection":null,"_links":{"self":[{"href":"https:\/\/content.one.lumenlearning.com\/introstatstest\/wp-json\/pressbooks\/v2\/chapters\/1496"}],"collection":[{"href":"https:\/\/content.one.lumenlearning.com\/introstatstest\/wp-json\/pressbooks\/v2\/chapters"}],"about":[{"href":"https:\/\/content.one.lumenlearning.com\/introstatstest\/wp-json\/wp\/v2\/types\/chapter"}],"author":[{"embeddable":true,"href":"https:\/\/content.one.lumenlearning.com\/introstatstest\/wp-json\/wp\/v2\/users\/8"}],"version-history":[{"count":5,"href":"https:\/\/content.one.lumenlearning.com\/introstatstest\/wp-json\/pressbooks\/v2\/chapters\/1496\/revisions"}],"predecessor-version":[{"id":6945,"href":"https:\/\/content.one.lumenlearning.com\/introstatstest\/wp-json\/pressbooks\/v2\/chapters\/1496\/revisions\/6945"}],"part":[{"href":"https:\/\/content.one.lumenlearning.com\/introstatstest\/wp-json\/pressbooks\/v2\/parts\/1473"}],"metadata":[{"href":"https:\/\/content.one.lumenlearning.com\/introstatstest\/wp-json\/pressbooks\/v2\/chapters\/1496\/metadata\/"}],"wp:attachment":[{"href":"https:\/\/content.one.lumenlearning.com\/introstatstest\/wp-json\/wp\/v2\/media?parent=1496"}],"wp:term":[{"taxonomy":"chapter-type","embeddable":true,"href":"https:\/\/content.one.lumenlearning.com\/introstatstest\/wp-json\/pressbooks\/v2\/chapter-type?post=1496"},{"taxonomy":"contributor","embeddable":true,"href":"https:\/\/content.one.lumenlearning.com\/introstatstest\/wp-json\/wp\/v2\/contributor?post=1496"},{"taxonomy":"license","embeddable":true,"href":"https:\/\/content.one.lumenlearning.com\/introstatstest\/wp-json\/wp\/v2\/license?post=1496"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}