{"id":1442,"date":"2023-06-22T02:28:37","date_gmt":"2023-06-22T02:28:37","guid":{"rendered":"https:\/\/content.one.lumenlearning.com\/introstatstest\/chapter\/module-16-background-youll-need-3\/"},"modified":"2025-05-17T02:30:22","modified_gmt":"2025-05-17T02:30:22","slug":"module-16-background-youll-need-3","status":"publish","type":"chapter","link":"https:\/\/content.one.lumenlearning.com\/introstatstest\/chapter\/module-16-background-youll-need-3\/","title":{"raw":"Module 15: Background You'll Need 3","rendered":"Module 15: Background You&#8217;ll Need 3"},"content":{"raw":"<section class=\"textbox learningGoals\">\r\n<ul>\r\n\t<li><span data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Find the linear regression equation and interpret the slope and intercept&quot;}\" data-sheets-userformat=\"{&quot;2&quot;:12929,&quot;3&quot;:{&quot;1&quot;:0},&quot;10&quot;:2,&quot;12&quot;:0,&quot;15&quot;:&quot;arial&quot;,&quot;16&quot;:9}\">Find the linear regression equation and interpret the slope and intercept<\/span><\/li>\r\n<\/ul>\r\n<\/section>\r\n<h2>Coffee Ratings<\/h2>\r\n<p><strong>Research question: <\/strong>Can we predict a coffee\u2019s aftertaste based on its acidity?<\/p>\r\n<p>To answer the research question above, let's look at the <a href=\"https:\/\/course-building.s3.us-west-2.amazonaws.com\/Statistics+Exemplar\/Data+Set+Files\/Coffee_Ratings_FINAL.xlsx\">Coffee Ratings<\/a> data set[footnote]coffee-quality-database. (2018, June 16). GitHub. Retrieved from https:\/\/github.com\/jldbc\/coffee-quality-database[\/footnote]. The data set contains information about the origin, processing, and taste quality for a sample of 1,338 coffees. The taste quality characteristics are on a scale of 0\u201310, as determined by a panel of expert coffee tasters.<\/p>\r\n<ul>\r\n\t<li><em>acidity<\/em>: Measure of acidity (a sharp, tangy feeling, like when biting into an orange[footnote]Coffee cupping. (2006, July 26). In Wikipedia. https:\/\/en.wikipedia.org\/wiki\/Coffee_cupping[\/footnote]); higher values correspond to a more acidic taste<\/li>\r\n\t<li><em>aftertaste<\/em>: Measure of taste after you take a sip of the coffee; higher values indicate better quality taste<\/li>\r\n<\/ul>\r\n<section class=\"textbox tryIt\">[ohm2_question hide_question_numbers=1]3179[\/ohm2_question]<\/section>\r\n<section class=\"textbox tryIt\">[ohm2_question hide_question_numbers=1]3180[\/ohm2_question]<\/section>\r\n<section class=\"textbox tryIt\">[ohm2_question hide_question_numbers=1]3181[\/ohm2_question]<\/section>\r\n<p>Data set: <a href=\"https:\/\/course-building.s3.us-west-2.amazonaws.com\/Statistics+Exemplar\/Data+Set+Files\/Coffee_Ratings_FINAL.xlsx\">Coffee Ratings<\/a><\/p>\r\n<p><iframe src=\"https:\/\/lumen-learning.shinyapps.io\/linear_regression\/\" width=\"100%\" height=\"1050\" frameborder=\"no\"><\/iframe><br \/>\r\n[<a href=\"https:\/\/lumen-learning.shinyapps.io\/linear_regression\/\" 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]3182[\/ohm2_question]<\/section>\r\n<div>\r\n<section class=\"textbox tryIt\">[ohm2_question hide_question_numbers=1]3183[\/ohm2_question]<\/section>\r\n<\/div>","rendered":"<section class=\"textbox learningGoals\">\n<ul>\n<li><span data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Find the linear regression equation and interpret the slope and intercept&quot;}\" data-sheets-userformat=\"{&quot;2&quot;:12929,&quot;3&quot;:{&quot;1&quot;:0},&quot;10&quot;:2,&quot;12&quot;:0,&quot;15&quot;:&quot;arial&quot;,&quot;16&quot;:9}\">Find the linear regression equation and interpret the slope and intercept<\/span><\/li>\n<\/ul>\n<\/section>\n<h2>Coffee Ratings<\/h2>\n<p><strong>Research question: <\/strong>Can we predict a coffee\u2019s aftertaste based on its acidity?<\/p>\n<p>To answer the research question above, let&#8217;s look at the <a href=\"https:\/\/course-building.s3.us-west-2.amazonaws.com\/Statistics+Exemplar\/Data+Set+Files\/Coffee_Ratings_FINAL.xlsx\">Coffee Ratings<\/a> data set<a class=\"footnote\" title=\"coffee-quality-database. (2018, June 16). GitHub. Retrieved from https:\/\/github.com\/jldbc\/coffee-quality-database\" id=\"return-footnote-1442-1\" href=\"#footnote-1442-1\" aria-label=\"Footnote 1\"><sup class=\"footnote\">[1]<\/sup><\/a>. The data set contains information about the origin, processing, and taste quality for a sample of 1,338 coffees. The taste quality characteristics are on a scale of 0\u201310, as determined by a panel of expert coffee tasters.<\/p>\n<ul>\n<li><em>acidity<\/em>: Measure of acidity (a sharp, tangy feeling, like when biting into an orange<a class=\"footnote\" title=\"Coffee cupping. (2006, July 26). In Wikipedia. https:\/\/en.wikipedia.org\/wiki\/Coffee_cupping\" id=\"return-footnote-1442-2\" href=\"#footnote-1442-2\" aria-label=\"Footnote 2\"><sup class=\"footnote\">[2]<\/sup><\/a>); higher values correspond to a more acidic taste<\/li>\n<li><em>aftertaste<\/em>: Measure of taste after you take a sip of the coffee; higher values indicate better quality taste<\/li>\n<\/ul>\n<section class=\"textbox tryIt\"><iframe loading=\"lazy\" id=\"ohm3179\" class=\"resizable\" src=\"https:\/\/ohm.one.lumenlearning.com\/multiembedq.php?id=3179&theme=lumen&iframe_resize_id=ohm3179&source=tnh\" width=\"100%\" height=\"150\"><\/iframe><\/section>\n<section class=\"textbox tryIt\"><iframe loading=\"lazy\" id=\"ohm3180\" class=\"resizable\" src=\"https:\/\/ohm.one.lumenlearning.com\/multiembedq.php?id=3180&theme=lumen&iframe_resize_id=ohm3180&source=tnh\" width=\"100%\" height=\"150\"><\/iframe><\/section>\n<section class=\"textbox tryIt\"><iframe loading=\"lazy\" id=\"ohm3181\" class=\"resizable\" src=\"https:\/\/ohm.one.lumenlearning.com\/multiembedq.php?id=3181&theme=lumen&iframe_resize_id=ohm3181&source=tnh\" width=\"100%\" height=\"150\"><\/iframe><\/section>\n<p>Data set: <a href=\"https:\/\/course-building.s3.us-west-2.amazonaws.com\/Statistics+Exemplar\/Data+Set+Files\/Coffee_Ratings_FINAL.xlsx\">Coffee Ratings<\/a><\/p>\n<p><iframe loading=\"lazy\" src=\"https:\/\/lumen-learning.shinyapps.io\/linear_regression\/\" width=\"100%\" height=\"1050\" frameborder=\"no\"><\/iframe><br \/>\n[<a href=\"https:\/\/lumen-learning.shinyapps.io\/linear_regression\/\" target=\"_blank\" rel=\"noopener\">Trouble viewing? Click to open in a new tab.<\/a>]<\/p>\n<section class=\"textbox tryIt\"><iframe loading=\"lazy\" id=\"ohm3182\" class=\"resizable\" src=\"https:\/\/ohm.one.lumenlearning.com\/multiembedq.php?id=3182&theme=lumen&iframe_resize_id=ohm3182&source=tnh\" width=\"100%\" height=\"150\"><\/iframe><\/section>\n<div>\n<section class=\"textbox tryIt\"><iframe loading=\"lazy\" id=\"ohm3183\" class=\"resizable\" src=\"https:\/\/ohm.one.lumenlearning.com\/multiembedq.php?id=3183&theme=lumen&iframe_resize_id=ohm3183&source=tnh\" width=\"100%\" height=\"150\"><\/iframe><\/section>\n<\/div>\n<hr class=\"before-footnotes clear\" \/><div class=\"footnotes\"><ol><li id=\"footnote-1442-1\">coffee-quality-database. (2018, June 16). GitHub. Retrieved from https:\/\/github.com\/jldbc\/coffee-quality-database <a href=\"#return-footnote-1442-1\" class=\"return-footnote\" aria-label=\"Return to footnote 1\">&crarr;<\/a><\/li><li id=\"footnote-1442-2\">Coffee cupping. (2006, July 26). In Wikipedia. https:\/\/en.wikipedia.org\/wiki\/Coffee_cupping <a href=\"#return-footnote-1442-2\" class=\"return-footnote\" aria-label=\"Return to footnote 2\">&crarr;<\/a><\/li><\/ol><\/div>","protected":false},"author":8,"menu_order":4,"template":"","meta":{"_candela_citation":"[]","pb_show_title":"on","pb_short_title":"","pb_subtitle":"","pb_authors":[],"pb_section_license":""},"chapter-type":[],"contributor":[],"license":[],"part":1438,"module-header":"background_you_need","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\/1442"}],"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":6,"href":"https:\/\/content.one.lumenlearning.com\/introstatstest\/wp-json\/pressbooks\/v2\/chapters\/1442\/revisions"}],"predecessor-version":[{"id":6889,"href":"https:\/\/content.one.lumenlearning.com\/introstatstest\/wp-json\/pressbooks\/v2\/chapters\/1442\/revisions\/6889"}],"part":[{"href":"https:\/\/content.one.lumenlearning.com\/introstatstest\/wp-json\/pressbooks\/v2\/parts\/1438"}],"metadata":[{"href":"https:\/\/content.one.lumenlearning.com\/introstatstest\/wp-json\/pressbooks\/v2\/chapters\/1442\/metadata\/"}],"wp:attachment":[{"href":"https:\/\/content.one.lumenlearning.com\/introstatstest\/wp-json\/wp\/v2\/media?parent=1442"}],"wp:term":[{"taxonomy":"chapter-type","embeddable":true,"href":"https:\/\/content.one.lumenlearning.com\/introstatstest\/wp-json\/pressbooks\/v2\/chapter-type?post=1442"},{"taxonomy":"contributor","embeddable":true,"href":"https:\/\/content.one.lumenlearning.com\/introstatstest\/wp-json\/wp\/v2\/contributor?post=1442"},{"taxonomy":"license","embeddable":true,"href":"https:\/\/content.one.lumenlearning.com\/introstatstest\/wp-json\/wp\/v2\/license?post=1442"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}