{"id":28982,"date":"2024-06-30T20:04:48","date_gmt":"2024-06-30T20:04:48","guid":{"rendered":"https:\/\/www.writemyessays.app\/blog\/questions\/report-how-you-analyzed-the-data-using-linear-regression-by-doing-the-following\/"},"modified":"2024-06-30T20:04:48","modified_gmt":"2024-06-30T20:04:48","slug":"report-how-you-analyzed-the-data-using-linear-regression-by-doing-the-following","status":"publish","type":"questions","link":"https:\/\/www.writemyessays.app\/blog\/questions\/report-how-you-analyzed-the-data-using-linear-regression-by-doing-the-following\/","title":{"rendered":"Report how you analyzed the data using linear regression by doing the following:"},"content":{"rendered":"<p style=\"margin: 0in 0in 0in 40.5pt; line-height: normal; cursor: auto; color: inherit;\"><span style=\"font-size: 12pt; cursor: auto; color: inherit;\">C. &nbsp;Report how<br \/>\nyou analyzed the data using linear regression by doing the following:<\/span><\/p>\n<p style=\"margin: 0in 0in 0in 56.35pt; line-height: normal; cursor: auto; color: inherit;\"><span style=\"font-size: 12pt; cursor: auto; color: inherit;\">1. &nbsp;Provide the<br \/>\noutput and calculations of the linear regression analysis you performed.<\/span><\/p>\n<p style=\"margin-bottom: 0in; line-height: normal; cursor: auto; color: inherit;\"><span style=\"font-size: 12pt; cursor: auto; color: inherit;\">&nbsp;<\/span><\/p>\n<p style=\"margin: 0in 0in 0in 55.5pt; line-height: normal; cursor: auto; color: inherit;\"><i style=\"cursor: auto; color: inherit;\"><span style=\"font-size: 12pt; cursor: auto; color: inherit;\">Note:<\/span><\/i><span style=\"font-size: 12pt; cursor: auto; color: inherit;\">&nbsp;<i style=\"cursor: auto; color: inherit;\">You may<br \/>\nsubmit the analysis output and calculations using a separate spreadsheet<br \/>\nattachment or the optional template in the attached \u201cLinear Regression Analysis<br \/>\nResources.\u201d<\/i><\/span><\/p>\n<p style=\"margin: 0in 0in 0in 37.5pt; line-height: normal; cursor: auto; color: inherit;\"><span style=\"font-size: 12pt; cursor: auto; color: inherit;\">&nbsp;<\/span><\/p>\n<p style=\"margin: 0in 0in 0in 55.5pt; line-height: normal; cursor: auto; color: inherit;\"><i style=\"cursor: auto; color: inherit;\"><span style=\"font-size: 12pt; cursor: auto; color: inherit;\">Note: The output should include the<br \/>\noutput from the software you used to perform the analysis. Refer to \u201c<\/span><\/i><a style=\"cursor: auto;\"><i style=\"cursor: auto; color: inherit;\"><span style=\"font-size: 12pt; cursor: auto; color: inherit;\">Prepare<br \/>\nfor the Performance Assessment Task 1<\/span><\/i><\/a><i style=\"cursor: auto; color: inherit;\"><span style=\"font-size: 12pt; cursor: auto; color: inherit;\">\u201d in the course of study to see examples<br \/>\nof acceptable output.<\/span><\/i><span style=\"font-size: 12pt; cursor: auto; color: inherit;\"><\/span><\/p>\n<p style=\"margin-bottom: 0in; line-height: normal; cursor: auto; color: inherit;\"><span style=\"font-size: 12pt; cursor: auto; color: inherit;\">&nbsp;<\/span><\/p>\n<p style=\"margin: 0in 0in 0in 56.35pt; line-height: normal; cursor: auto; color: inherit;\"><span style=\"font-size: 12pt; cursor: auto; color: inherit;\">2. &nbsp;Justify why<br \/>\nlinear regression is the appropriate analysis technique for predicting the<br \/>\ndependent variable, including relevant details from the scenario to support<br \/>\nyour justification.<\/span><\/p>\n<p style=\"margin-bottom: 0in; line-height: normal; cursor: auto; color: inherit;\"><span style=\"font-size: 12pt; cursor: auto; color: inherit;\">&nbsp;<\/span><\/p>\n<p style=\"margin: 0in 0in 0in 40.5pt; line-height: normal; cursor: auto; color: inherit;\"><span style=\"font-size: 12pt; cursor: auto; color: inherit;\">D. &nbsp;Describe<br \/>\nthe implications of your data analysis from the scenario by doing the<br \/>\nfollowing:<\/span><\/p>\n<p style=\"margin: 0in 0in 0in 56.35pt; line-height: normal; cursor: auto; color: inherit;\"><span style=\"font-size: 12pt; cursor: auto; color: inherit;\">1. &nbsp;State the<br \/>\nnull hypothesis for this linear regression analysis.<\/span><\/p>\n<p style=\"margin: 0in 0in 0in 56.35pt; line-height: normal; cursor: auto; color: inherit;\"><span style=\"font-size: 12pt; cursor: auto; color: inherit;\">2. &nbsp;Interpret<br \/>\nthe results of the data analysis by doing the following:<\/span><\/p>\n<p style=\"margin: 0in 0in 0in 65.25pt; line-height: normal; cursor: auto; color: inherit;\"><span style=\"font-size: 12pt; cursor: auto; color: inherit;\">a. &nbsp;Discuss the<br \/>\ngoodness of fit with the supporting test statistic from your linear regression<br \/>\nanalysis output.<\/span><\/p>\n<p style=\"margin: 0in 0in 0in 65.25pt; line-height: normal; cursor: auto; color: inherit;\"><span style=\"font-size: 12pt; cursor: auto; color: inherit;\">b. &nbsp;Discuss the<br \/>\nsignificance of the independent variable(s) with support from your linear<br \/>\nregression analysis results.<\/span><\/p>\n<p style=\"margin: 0in 0in 0in 65.25pt; line-height: normal; cursor: auto; color: inherit;\"><span style=\"font-size: 12pt; cursor: auto; color: inherit;\">c. &nbsp;Create the<br \/>\nlinear equation and explain its purpose using your analysis results.&nbsp;<\/span><\/p>\n<p style=\"margin: 0in 0in 0in 56.35pt; line-height: normal; cursor: auto; color: inherit;\"><span style=\"font-size: 12pt; cursor: auto; color: inherit;\">3. &nbsp;Discuss a<br \/>\nlimitation of the research that could affect a recommended course of action.<\/span><\/p>\n<p style=\"margin: 0in 0in 0in 56.35pt; line-height: normal; cursor: auto; color: inherit;\"><span style=\"font-size: 12pt; cursor: auto; color: inherit;\">4. &nbsp;Recommend a<br \/>\ncourse of action that aligns with your linear regression analysis results.<\/span><\/p>\n<p style=\"margin-bottom: 0in; line-height: normal; cursor: auto; color: inherit;\"><span style=\"font-size: 12pt; cursor: auto; color: inherit;\">&nbsp;<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>C. &nbsp;Report how you analyzed the data using linear regression by doing the following: 1. &nbsp;Provide the output and calculations of the linear regression analysis you performed. &nbsp; Note:&nbsp;You may submit the analysis output and calculations using a separate spreadsheet attachment or the optional template in the attached \u201cLinear Regression Analysis Resources.\u201d &nbsp; Note: The [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"closed","template":"","meta":[],"disciplines":[9],"paper_types":[],"tagged":[],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/www.writemyessays.app\/blog\/wp-json\/wp\/v2\/questions\/28982"}],"collection":[{"href":"https:\/\/www.writemyessays.app\/blog\/wp-json\/wp\/v2\/questions"}],"about":[{"href":"https:\/\/www.writemyessays.app\/blog\/wp-json\/wp\/v2\/types\/questions"}],"author":[{"embeddable":true,"href":"https:\/\/www.writemyessays.app\/blog\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.writemyessays.app\/blog\/wp-json\/wp\/v2\/comments?post=28982"}],"version-history":[{"count":0,"href":"https:\/\/www.writemyessays.app\/blog\/wp-json\/wp\/v2\/questions\/28982\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.writemyessays.app\/blog\/wp-json\/wp\/v2\/media?parent=28982"}],"wp:term":[{"taxonomy":"disciplines","embeddable":true,"href":"https:\/\/www.writemyessays.app\/blog\/wp-json\/wp\/v2\/disciplines?post=28982"},{"taxonomy":"paper_types","embeddable":true,"href":"https:\/\/www.writemyessays.app\/blog\/wp-json\/wp\/v2\/paper_types?post=28982"},{"taxonomy":"tagged","embeddable":true,"href":"https:\/\/www.writemyessays.app\/blog\/wp-json\/wp\/v2\/tagged?post=28982"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}