{"id":4518,"date":"2022-04-13T14:06:13","date_gmt":"2022-04-13T14:06:13","guid":{"rendered":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/?post_type=chapter&#038;p=4518"},"modified":"2022-04-15T12:51:18","modified_gmt":"2022-04-15T12:51:18","slug":"instructor-guide-6a-corequisite-support","status":"publish","type":"chapter","link":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/chapter\/instructor-guide-6a-corequisite-support\/","title":{"raw":"Instructor Guide 6A: Corequisite Support","rendered":"Instructor Guide 6A: Corequisite Support"},"content":{"raw":"<em>While this support activity is designed for a face-to-face, synchronous delivery, it should be noted that supporting text and interactive examples have been embedded in the digital assignment page to assist asynchronous or hybrid course delivery and to be made more accessible to students performing make-up work.<\/em>\r\n<h2>Notes for synchronous active-learning delivery<\/h2>\r\nUse this corequisite support activity to prepare students to model bivariate data using\u00a0linear equations.\r\n\r\nBegin the support activity by having students watch a video about Kai\u2019s journey. Here is\u00a0the link to the video: <a href=\"https:\/\/www.youtube.com\/watch?v=-HFFSYcEMCI.\">https:\/\/www.youtube.com\/watch?v=-HFFSYcEMCI.\u00a0<\/a>\r\n\r\nQuestions 1 and 2 are designed to help students process their emotions related to\u00a0the video. The first question is optional, but the second question can be used to develop\u00a0students\u2019 perseverance skills.\r\n\r\nStudents may work together to complete the remainder of the questions.\r\n\r\nIn Question 3, make sure students read carefully and understand the column for Kai's weight should decrease by two pounds per week.\r\n\r\nIn Question 4, make sure students are labeling their axes appropriately.\r\n<ul>\r\n \t<li>Guide students\u00a0to use the number of weeks as the independent variable and weight as the dependent\u00a0variable.<\/li>\r\n \t<li>You can do this in the context of the situation since the goal is to predict weight\u00a0based on weeks in the program.<\/li>\r\n \t<li>Emphasize that in statistics and mathematics, conventionally, the\u00a0independent variable is represented on the horizontal axis and the dependent variable\u00a0is represented on the vertical axis.<\/li>\r\n<\/ul>\r\nIn Question 8, consider having a few students describe their mathematical processes by\u00a0asking: \u201cHow are you arriving at your answers?\u201d Use student answers to emphasize the\u00a0underlying mathematical operations rather than going to an abstract notion of [latex]y=mx+b[\/latex].\r\n\r\nIn Question 9, allow students choose any variables they would like, as long as they\u00a0define the variables appropriately. Question 10 will connect the variables students\u00a0define in Question 9 to [latex]x[\/latex] and [latex]y[\/latex] variables typically used in statistics and in the DCMP\u00a0Data Analysis Tools.\r\n\r\nWrap up by emphasizing that in statistics, independent variables are called explanatory\u00a0variables and dependent variables are called response variables.","rendered":"<p><em>While this support activity is designed for a face-to-face, synchronous delivery, it should be noted that supporting text and interactive examples have been embedded in the digital assignment page to assist asynchronous or hybrid course delivery and to be made more accessible to students performing make-up work.<\/em><\/p>\n<h2>Notes for synchronous active-learning delivery<\/h2>\n<p>Use this corequisite support activity to prepare students to model bivariate data using\u00a0linear equations.<\/p>\n<p>Begin the support activity by having students watch a video about Kai\u2019s journey. Here is\u00a0the link to the video: <a href=\"https:\/\/www.youtube.com\/watch?v=-HFFSYcEMCI.\">https:\/\/www.youtube.com\/watch?v=-HFFSYcEMCI.\u00a0<\/a><\/p>\n<p>Questions 1 and 2 are designed to help students process their emotions related to\u00a0the video. The first question is optional, but the second question can be used to develop\u00a0students\u2019 perseverance skills.<\/p>\n<p>Students may work together to complete the remainder of the questions.<\/p>\n<p>In Question 3, make sure students read carefully and understand the column for Kai&#8217;s weight should decrease by two pounds per week.<\/p>\n<p>In Question 4, make sure students are labeling their axes appropriately.<\/p>\n<ul>\n<li>Guide students\u00a0to use the number of weeks as the independent variable and weight as the dependent\u00a0variable.<\/li>\n<li>You can do this in the context of the situation since the goal is to predict weight\u00a0based on weeks in the program.<\/li>\n<li>Emphasize that in statistics and mathematics, conventionally, the\u00a0independent variable is represented on the horizontal axis and the dependent variable\u00a0is represented on the vertical axis.<\/li>\n<\/ul>\n<p>In Question 8, consider having a few students describe their mathematical processes by\u00a0asking: \u201cHow are you arriving at your answers?\u201d Use student answers to emphasize the\u00a0underlying mathematical operations rather than going to an abstract notion of [latex]y=mx+b[\/latex].<\/p>\n<p>In Question 9, allow students choose any variables they would like, as long as they\u00a0define the variables appropriately. Question 10 will connect the variables students\u00a0define in Question 9 to [latex]x[\/latex] and [latex]y[\/latex] variables typically used in statistics and in the DCMP\u00a0Data Analysis Tools.<\/p>\n<p>Wrap up by emphasizing that in statistics, independent variables are called explanatory\u00a0variables and dependent variables are called response variables.<\/p>\n","protected":false},"author":25777,"menu_order":1,"template":"","meta":{"_candela_citation":"[]","CANDELA_OUTCOMES_GUID":"","pb_show_title":"on","pb_short_title":"","pb_subtitle":"","pb_authors":[],"pb_section_license":""},"chapter-type":[],"contributor":[],"license":[],"class_list":["post-4518","chapter","type-chapter","status-publish","hentry"],"part":4483,"_links":{"self":[{"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/pressbooks\/v2\/chapters\/4518","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/pressbooks\/v2\/chapters"}],"about":[{"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/wp\/v2\/types\/chapter"}],"author":[{"embeddable":true,"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/wp\/v2\/users\/25777"}],"version-history":[{"count":3,"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/pressbooks\/v2\/chapters\/4518\/revisions"}],"predecessor-version":[{"id":4586,"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/pressbooks\/v2\/chapters\/4518\/revisions\/4586"}],"part":[{"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/pressbooks\/v2\/parts\/4483"}],"metadata":[{"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/pressbooks\/v2\/chapters\/4518\/metadata\/"}],"wp:attachment":[{"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/wp\/v2\/media?parent=4518"}],"wp:term":[{"taxonomy":"chapter-type","embeddable":true,"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/pressbooks\/v2\/chapter-type?post=4518"},{"taxonomy":"contributor","embeddable":true,"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/wp\/v2\/contributor?post=4518"},{"taxonomy":"license","embeddable":true,"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/wp\/v2\/license?post=4518"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}