{"id":4790,"date":"2024-12-19T05:30:23","date_gmt":"2024-12-19T05:30:23","guid":{"rendered":"https:\/\/science.sjp.ac.lk\/mat\/?page_id=4790"},"modified":"2024-12-19T05:30:54","modified_gmt":"2024-12-19T05:30:54","slug":"amt-325-2-0-regression-analysis","status":"publish","type":"page","link":"https:\/\/science.sjp.ac.lk\/mat\/amt-325-2-0-regression-analysis\/","title":{"rendered":"AMT 325 2.0 Regression Analysis"},"content":{"rendered":"<section class=\"wpb-content-wrapper\"><p>[vc_row][vc_column][vc_column_text]<\/p>\n<p><strong>Course:\u00a0AMT 325 2.0 Regression Analysis<\/strong>\u00a0<strong>(Optional)<\/strong><\/p>\n\n<p><strong>Course content:<\/strong><\/p>\n\n<p style=\"text-align: justify;\">Introduction to Regression; Applications of regression analysis; Steps in regression analysis; Simple Linear Regression; Parameter estimation; Interpretation of regression coefficients; Properties of least squares estimators; test of hypotheses; Confidence intervals; Predictions; Measuring the quality of fit; Regression line through the origin; Model Adequacy Checking; Residual analysis; Multiple Linear Regression; Matrix notations; Parameter estimation; Interpretation of regression coefficients; Test of hypotheses; Confidence intervals\/region; Prediction; Introduction to Multicollineartiy; Qualitative Variables as Predictors; Introduction to Variable Selection Procedures; Form a model using statistical software packages.<\/p>\n\n<p><strong>Recommended Readings:<\/strong><\/p>\n\n\n<ol type=\"1\">\n<li style=\"list-style-type: none;\">\n<ol type=\"1\"><\/p>\n<li>Montgomery,D.C., Peck,E.A., &amp; Vining, G.G. (2012). <em>Introduction to Linear Regression Analysis <\/em>(5<sup>th<\/sup> ed).John Wiley &amp; Sons Inc.<\/li>\n\n\n<li>Kutner,M.H., Li,W., Nachtsheim,C.J. &amp; Neter,J. (2004). <em>Applied Linear Statistical Models. <\/em>McGraw-Hill.<\/li>\n<\/ol>\n<\/li>\n<\/ol>\n\n\n<p>&nbsp;<\/p>\n<p>[\/vc_column_text][\/vc_column][\/vc_row]<\/p>\n<\/section>","protected":false},"excerpt":{"rendered":"<p>[vc_row][vc_column][vc_column_text] Course:\u00a0AMT 325 2.0 Regression Analysis\u00a0(Optional) Course content: Introduction to Regression; Applications of regression analysis; Steps in regression analysis; Simple Linear Regression; Parameter estimation; Interpretation of regression coefficients; Properties of least squares estimators; test of hypotheses; Confidence intervals; Predictions; Measuring the quality of fit; Regression line through the origin; Model Adequacy Checking; Residual analysis; Multiple &hellip; <a href=\"https:\/\/science.sjp.ac.lk\/mat\/amt-325-2-0-regression-analysis\/\" class=\"more-link\">Continue reading <span class=\"screen-reader-text\">AMT 325 2.0 Regression Analysis<\/span><\/a><\/p>\n","protected":false},"author":33,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_ti_tpc_template_sync":false,"_ti_tpc_template_id":"","footnotes":""},"_links":{"self":[{"href":"https:\/\/science.sjp.ac.lk\/mat\/wp-json\/wp\/v2\/pages\/4790"}],"collection":[{"href":"https:\/\/science.sjp.ac.lk\/mat\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/science.sjp.ac.lk\/mat\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/science.sjp.ac.lk\/mat\/wp-json\/wp\/v2\/users\/33"}],"replies":[{"embeddable":true,"href":"https:\/\/science.sjp.ac.lk\/mat\/wp-json\/wp\/v2\/comments?post=4790"}],"version-history":[{"count":2,"href":"https:\/\/science.sjp.ac.lk\/mat\/wp-json\/wp\/v2\/pages\/4790\/revisions"}],"predecessor-version":[{"id":4793,"href":"https:\/\/science.sjp.ac.lk\/mat\/wp-json\/wp\/v2\/pages\/4790\/revisions\/4793"}],"wp:attachment":[{"href":"https:\/\/science.sjp.ac.lk\/mat\/wp-json\/wp\/v2\/media?parent=4790"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}