{"id":125080,"date":"2023-04-08T12:02:57","date_gmt":"2023-04-08T04:02:57","guid":{"rendered":"https:\/\/ocw.nycu.edu.tw\/?post_type=course_page&#038;p=125080"},"modified":"2024-04-11T10:11:10","modified_gmt":"2024-04-11T02:11:10","slug":"regression-analysis-104-academic-year","status":"publish","type":"course_page","link":"https:\/\/ocw.nycu.edu.tw\/?course_page=all-course-2\/college-of-science\/institute-of-statistic\/regression-analysis-104-academic-year","title":{"rendered":"Regression Analysis -104 Academic Year | Institute of Statistics Prof. Guan-Hua Huang"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"125080\" class=\"elementor elementor-125080\">\n\t\t\t\t\t\t\t\t\t<section class=\"penci-section penci-disSticky penci-structure-10 elementor-section elementor-top-section elementor-element elementor-element-90a0113 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"90a0113\" 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href=\"https:\/\/ocw.nycu.edu.tw\/\">Homepage<\/a><\/span><\/span><\/p>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"penci-section penci-disSticky penci-structure-20 elementor-section elementor-top-section elementor-element elementor-element-0025485 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"0025485\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"penci-ercol-50 penci-ercol-order-1 penci-sticky-ct    elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-0446ed9\" data-id=\"0446ed9\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-2f5840a elementor-widget elementor-widget-penci-info-box\" data-id=\"2f5840a\" data-element_type=\"widget\" data-widget_type=\"penci-info-box.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div id=\"penci_info_box_86471\" class=\"penci-block-vc penci-info-box penci-ibox-float-left penci-view-default penci-shape-circle\">\r\n\t\t\t<div class=\"penci-ibox-inner\">\r\n\t\t\t\t\t\t\t\t<div class=\"penci-ibox-icon penci-ibox-icon--icon penci-icon penci-tibox-text\"><span class=\"penci-ibox-icon-fa\"><\/span><\/div>\t\t\t\t<div class=\"penci-ibox-content-wrap\">\r\n\t\t\t\t\t\t\t\t\t\t<h3 class=\"penci-ibox-title\">Regression Analysis -104 Academic Year<\/h3>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\r\n\t\t\t<\/div>\r\n\t\t<\/div>\r\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c6381f4 elementor-widget elementor-widget-eael-adv-tabs\" data-id=\"c6381f4\" data-element_type=\"widget\" data-widget_type=\"eael-adv-tabs.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t        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251.47a12 12 0 0 0-1.6 16.9l25.5 31A12 12 0 0 0 45.15 301l235.22-193.74a12.19 12.19 0 0 1 15.3 0L530.9 301a12 12 0 0 0 16.9-1.6l25.5-31a12 12 0 0 0-1.7-16.93z\"><\/path><\/svg>                                                            \n                                                            <span class=\"eael-tab-title  title-after-icon\">Course Homepage<\/span>                            \n                                                    <\/li>\n                                            <li id=\"video\" class=\"inactive eael-tab-item-trigger\" aria-selected=\"false\" data-tab=\"2\" role=\"tab\" tabindex=\"-1\" aria-controls=\"video-tab\" aria-expanded=\"false\">\n                            \n                                                                <svg class=\"e-font-icon-svg e-fas-video\" viewBox=\"0 0 576 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M336.2 64H47.8C21.4 64 0 85.4 0 111.8v288.4C0 426.6 21.4 448 47.8 448h288.4c26.4 0 47.8-21.4 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0-48-21.5-48-48V112c0-26.5 21.5-48 48-48h48V12c0-6.6 5.4-12 12-12h40c6.6 0 12 5.4 12 12v52h128V12c0-6.6 5.4-12 12-12h40c6.6 0 12 5.4 12 12v52h48c26.5 0 48 21.5 48 48zm-48 346V160H48v298c0 3.3 2.7 6 6 6h340c3.3 0 6-2.7 6-6z\"><\/path><\/svg>                                                            \n                                                            <span class=\"eael-tab-title  title-after-icon\">Course Calendar<\/span>                            \n                                                    <\/li>\n                                    <\/ul>\n            <\/div>\n            \n            <div class=\"eael-tabs-content\">\n\t\t        \n                    <div id=\"home-tab\" class=\"clearfix eael-tab-content-item active-default\" data-title-link=\"home-tab\">\n\t\t\t\t        \t\t\t\t\t        <p style=\"margin-bottom: 10px; line-height: 28px; color: #101010; font-family: \u5fae\u8edf\u6b63\u9ed1\u9ad4, Arial; font-size: 16px;\">This course is provided by the <a href=\"https:\/\/stat.nycu.edu.tw\/\" target=\"_blank\" rel=\"noopener\">NYCU\u00a0Institute of Statistic<\/a> .<\/p><p>The goals of this course are to introduce regression analysis for continuous and discrete data. Topics include simple and multiple linear regressions, inferences for regression coefficients, confounding and interaction, regression diagnostics, logistic regressions, Poisson regressions, and generalized linear models.<\/p><p>The course consists of lectures and laboratory sessions. The lectures are given on Tuesday 9:00-11:00. The lectures will primarily review and reinforce major issues. There is a laboratory session on Tuesday 11:10-12:00. The laboratory exercise will be distributed prior to each class, and students are expected to read each lab exercise at home. Each student will be assigned to a lab group and discuss the exercise with group members in the lab. At the end of the lab, there will be a seminar-type discussion. Each group is required to hand in a write-up of laboratory problems.<\/p><p>The course uses the R software for statistical computing. Students are expected to be familiar with the usage of the software.<\/p><p>\u00a0<\/p><p><span style=\"color: #3366ff; font-size: 16px;\">Textbook\uff1a<\/span><\/p><p><span style=\"font-size: 16px;\">Handouts corresponding to each lecture will be available on the course website before each class.<\/span><\/p><p><span style=\"font-size: 16px;\">The required textbooks for this course are \uff1a Montgomery, D.C., Peck, E.A., Vining, G.G. (2012). Introduction to Linear Regression Analysis (5th Edition). Wiley. (ILRA)<\/span><\/p><p><span style=\"color: #ff00ff;\">For perfect learning results, please buy textbooks!<\/span><\/p><p>\u00a0<\/p><table style=\"color: #101010; font-family: \u5fae\u8edf\u6b63\u9ed1\u9ad4, Arial; font-size: 16px;\" border=\"1\"><tbody><tr><th style=\"text-align: center;\" nowrap=\"nowrap\" bgcolor=\"#FFF3DB\" width=\"100\"><span style=\"color: #313131; font-family: PT Serif, serif;\"><span style=\"font-weight: 400; white-space: normal;\">Instructor(s)<\/span><\/span><\/th><td bgcolor=\"#EEEEEE\" width=\"518\"><span style=\"color: #313131; font-family: PT Serif, serif;\"><span style=\"color: #313131; font-family: PT Serif, serif;\"><span style=\"color: #313131; font-family: PT Serif, serif;\"><span style=\"color: #313131; font-family: PT Serif, serif;\"><span style=\"color: #313131; font-family: PT Serif, serif;\">\u00a0Institute of Statistic Prof. Guan-Hua Huang<\/span><\/span><\/span><\/span><\/span><\/td><\/tr><tr><th style=\"text-align: center;\" nowrap=\"nowrap\" bgcolor=\"#FFF3DB\"><span style=\"color: #313131; font-family: PT Serif, serif;\"><span style=\"font-weight: 400; white-space: normal;\">Course Credits<\/span><\/span><\/th><td class=\"text\"><span style=\"color: #313131; font-family: PT Serif, serif;\"><span style=\"color: #313131; font-family: PT Serif, serif;\"><span style=\"color: #313131; font-family: PT Serif, serif;\"><span style=\"color: #313131; font-family: PT Serif, serif;\">\u00a03 Credits<\/span><\/span><\/span><\/span><\/td><\/tr><tr><th class=\"text\" style=\"text-align: center;\" nowrap=\"nowrap\" bgcolor=\"#FFF3DB\"><span style=\"color: #313131; font-family: PT Serif, serif;\"><span style=\"font-weight: 400; white-space: normal;\">Academic Year<\/span><\/span><\/th><td class=\"text\" bgcolor=\"#EEEEEE\"><span style=\"color: #313131; font-family: PT Serif, serif;\"><span style=\"color: #313131; font-family: PT Serif, serif;\"><span style=\"color: #313131; font-family: PT Serif, serif;\"><span style=\"color: #313131; font-family: PT Serif, serif;\">\u00a0104 Academic Year<\/span><\/span><\/span><\/span><\/td><\/tr><tr><th style=\"text-align: center;\" nowrap=\"nowrap\" bgcolor=\"#FFF3DB\"><span style=\"color: #313131; font-family: PT Serif, serif;\"><span style=\"font-weight: 400; white-space: normal;\">Level<\/span><\/span><\/th><td class=\"text\"><span style=\"color: #313131; font-family: PT Serif, serif;\"><span style=\"color: #313131; font-family: PT Serif, serif;\"><span style=\"color: #313131; font-family: PT Serif, serif;\"><span style=\"color: #313131; font-family: PT Serif, serif;\">\u00a0Graduate Student<\/span><\/span><\/span><\/span><\/td><\/tr><tr><th style=\"text-align: center;\" nowrap=\"nowrap\" bgcolor=\"#FFF3DB\"><span style=\"color: #313131; font-family: PT Serif, serif;\"><span style=\"font-weight: 400; white-space: normal;\">Prior Knowledge<\/span><\/span><\/th><td class=\"text\" bgcolor=\"#EEEEEE\"><span style=\"color: #313131; font-family: PT Serif, serif;\"><span style=\"color: #313131; font-family: PT Serif, serif;\"><span style=\"color: #313131; font-family: PT Serif, serif;\"><span style=\"color: #313131; font-family: PT Serif, serif;\">\u00a0Students are expected to have background on undergraduate probability, and mathematical statistics. Computer programming knowledge on R and\/or C\/C++ is required.<\/span><\/span><\/span><\/span><\/td><\/tr><tr><th style=\"text-align: center;\" nowrap=\"nowrap\" bgcolor=\"#FFF3DB\"><span style=\"color: #313131; font-family: PT Serif, serif;\"><span style=\"font-weight: 400; white-space: normal;\">Related Resources<\/span><\/span><\/th><td class=\"text\"><span style=\"color: #313131; font-family: PT Serif, serif;\"><span style=\"color: #313131; font-family: PT Serif, serif;\"><span style=\"color: #313131; font-family: PT Serif, serif;\"><span style=\"color: #313131; font-family: PT Serif, serif;\">\u00a0<a href=\"#video\">Course Video<\/a>\u00a0 \u00a0<a href=\"#syllabus\">Course Syllabus<\/a>\u00a0 \u00a0<a href=\"#calendar\">Course Calendar<\/a><\/span><\/span><\/span><\/span><\/td><\/tr><\/tbody><\/table>\t\t\t\t                            <\/div>\n\t\t        \n                    <div id=\"video-tab\" class=\"clearfix eael-tab-content-item inactive\" data-title-link=\"video-tab\">\n\t\t\t\t        \t\t\t\t\t        <p>\n<table id=\"tablepress-574\" class=\"tablepress tablepress-id-574\">\n<thead>\n<tr class=\"row-1 odd\">\n\t<th class=\"column-1\">Week<\/th><th class=\"column-2\">Course Content<\/th><th class=\"column-3\">Course Video<\/th>\n<\/tr>\n<\/thead>\n<tbody class=\"row-hover\">\n<tr class=\"row-2 even\">\n\t<td class=\"column-1\"><\/td><td class=\"column-2\">Introduction<\/td><td class=\"column-3\"><a href=\"\/?post_type=course_page&amp;p=125104\">Watch Online<\/a><\/td>\n<\/tr>\n<tr class=\"row-3 odd\">\n\t<td class=\"column-1\">Lecture 1<\/td><td class=\"column-2\">Lecture 1-1: A review of basic statistical concepts<\/td><td class=\"column-3\"><a href=\"\/?post_type=course_page&amp;p=125290\">Watch Online<\/a><\/td>\n<\/tr>\n<tr class=\"row-4 even\">\n\t<td class=\"column-1\"><\/td><td class=\"column-2\">Lecture 1-2: Measures of association with emphasis on the di\u000berence of means<\/td><td class=\"column-3\"><a href=\"\/?post_type=course_page&amp;p=125295\">Watch Online<\/a><\/td>\n<\/tr>\n<tr class=\"row-5 odd\">\n\t<td class=\"column-1\">Lecture 2<\/td><td class=\"column-2\">Lecture 2: Basics of linear regression analysis<\/td><td class=\"column-3\"><a href=\"\/?post_type=course_page&amp;p=125306\">Watch Online<\/a><\/td>\n<\/tr>\n<tr class=\"row-6 even\">\n\t<td class=\"column-1\"><\/td><td class=\"column-2\">Lab 2 \u540c\u5b78\u5831\u544a: \u8b1d\u5ff5\u5ef7 \u9673\u67cf\u9b41 \u8a31\u51f1\u748b \u5e2d\u744b\u8fb0 \u9676\u51a0\u862d \u5289\u51a0\u59a4\u540c\u5b78<\/td><td class=\"column-3\"><a href=\"\/?post_type=course_page&amp;p=125311\">Watch Online<\/a><\/td>\n<\/tr>\n<tr class=\"row-7 odd\">\n\t<td class=\"column-1\">Lecture 4<\/td><td class=\"column-2\">Lecture 4: Correlation<\/td><td class=\"column-3\"><a href=\"\/?post_type=course_page&amp;p=125316\">Watch Online<\/a><\/td>\n<\/tr>\n<tr class=\"row-8 even\">\n\t<td class=\"column-1\"><\/td><td class=\"column-2\">Lab 4 \u540c\u5b78\u5831\u544a: \u674e\u6770\u3001\u6797\u7d93\u6ff0\u3001\u9673\u73ee\u6587\u3001\u9673\u5955\u826f\u3001\u5f6d\u6069\u69ae\u3001\u674e\u9a4a\u540c\u5b78<\/td><td class=\"column-3\"><a href=\"\/?post_type=course_page&amp;p=125344\">Watch Online<\/a><\/td>\n<\/tr>\n<tr class=\"row-9 odd\">\n\t<td class=\"column-1\">Lecture 5<\/td><td class=\"column-2\">Lecture 5-1: Analysis of variance (ANOVA) table and prediction of y<\/td><td class=\"column-3\"><a href=\"\/?post_type=course_page&amp;p=125349\">Watch Online<\/a><\/td>\n<\/tr>\n<tr class=\"row-10 even\">\n\t<td class=\"column-1\"><\/td><td class=\"column-2\">Lecture 5-2: Basics of multiple linear regression<\/td><td class=\"column-3\"><a href=\"\/?post_type=course_page&amp;p=125354\">Watch Online<\/a><\/td>\n<\/tr>\n<tr class=\"row-11 odd\">\n\t<td class=\"column-1\"><\/td><td class=\"column-2\">Lab 5 \u540c\u5b78\u5831\u544a: \u77f3\u6615\u79c0\u3001\u674e\u6771\u6069\u3001\u4faf\u6631\u5fb7\u3001\u5289\u5b78\u6c5d\u3001\u674e\u4fca\u660c\u3001\u65b9\u601d\u5a77\u540c\u5b78<\/td><td class=\"column-3\"><a href=\"\/?post_type=course_page&amp;p=125359\">Watch Online<\/a><\/td>\n<\/tr>\n<tr class=\"row-12 even\">\n\t<td class=\"column-1\">Lecture 6<\/td><td class=\"column-2\">Lecture 6-1: Hypothesis testing in multiple regression<\/td><td class=\"column-3\"><a href=\"\/?post_type=course_page&amp;p=125364\">Watch Online<\/a><\/td>\n<\/tr>\n<tr class=\"row-13 odd\">\n\t<td class=\"column-1\"><\/td><td class=\"column-2\">Lecture 6-2: Polynomial terms and dummy variables<\/td><td class=\"column-3\"><a href=\"\/?post_type=course_page&amp;p=125369\">Watch Online<\/a><\/td>\n<\/tr>\n<tr class=\"row-14 even\">\n\t<td class=\"column-1\"><\/td><td class=\"column-2\">Lab 6 \u540c\u5b78\u5831\u544a: \u984f\u5929\u4fdd\u3001\u5289\u53c8\u9f4a\u3001\u85cd\u7389\u670b\u3001\u66fe\u90c1\u7fd4\u3001\u5510\u5fc3\u8aa0\u3001\u6797\u5fd7\u8c6a\u000b\u540c\u5b78<\/td><td class=\"column-3\"><a href=\"\/?post_type=course_page&amp;p=125374\">Watch Online<\/a><\/td>\n<\/tr>\n<tr class=\"row-15 odd\">\n\t<td class=\"column-1\">Lecture 7<\/td><td class=\"column-2\">Lecture 7: Interaction and confounding<\/td><td class=\"column-3\"><a href=\"\/?post_type=course_page&amp;p=125380\">Watch Online<\/a><\/td>\n<\/tr>\n<tr class=\"row-16 even\">\n\t<td class=\"column-1\"><\/td><td class=\"column-2\">Lecture 7 \u88dc\u5145: Confounding and interaction in epidemiology<\/td><td class=\"column-3\"><a href=\"\/?post_type=course_page&amp;p=125385\">Watch Online<\/a><\/td>\n<\/tr>\n<tr class=\"row-17 odd\">\n\t<td class=\"column-1\"><\/td><td class=\"column-2\">Lab 7 \u540c\u5b78\u5831\u544a: \u9ec3\u90c1\u8c6a\u3001\u6881\u601d\u5a55\u3001\u5f35\u767b\u51f1\u3001\u4f55\u6770\u7ff0\u3001\u5468\u4f73\u745c\u540c\u5b78<\/td><td class=\"column-3\"><a href=\"\/?post_type=course_page&amp;p=125390\">Watch Online<\/a><\/td>\n<\/tr>\n<tr class=\"row-18 even\">\n\t<td class=\"column-1\">Lecture 8<\/td><td class=\"column-2\">Lecture 8-1: Regression diagnosis<\/td><td class=\"column-3\"><a href=\"\/?post_type=course_page&amp;p=125395\">Watch Online<\/a><\/td>\n<\/tr>\n<tr class=\"row-19 odd\">\n\t<td class=\"column-1\">Lecture 8-2: Variable selection and model building<\/td><td class=\"column-2\">Lecture 8-2: Variable selection and model building<\/td><td class=\"column-3\"><a href=\"\/?post_type=course_page&amp;p=125400\">Watch Online<\/a><\/td>\n<\/tr>\n<tr class=\"row-20 even\">\n\t<td class=\"column-1\"><\/td><td class=\"column-2\">Lab 9 \u540c\u5b78\u5831\u544a: \u8a31\u51f1\u748b\u540c\u5b78<\/td><td class=\"column-3\"><a href=\"\/?post_type=course_page&amp;p=125402\">Watch Online<\/a><\/td>\n<\/tr>\n<tr class=\"row-21 odd\">\n\t<td class=\"column-1\"><\/td><td class=\"column-2\">Lab 9 \u540c\u5b78\u5831\u544a: \u674e\u6770\u3001\u6797\u7d93\u6ff0\u3001\u9673\u73ee\u6587\u3001\u9673\u5955\u826f\u3001\u5f6d\u6069\u69ae\u3001\u674e\u9a4a\u540c\u5b78<\/td><td class=\"column-3\"><a href=\"\/?post_type=course_page&amp;p=125412\">Watch Online<\/a><\/td>\n<\/tr>\n<tr class=\"row-22 even\">\n\t<td class=\"column-1\">Lecture 11<\/td><td class=\"column-2\">Lecture 11: Relative risk, odds ratio and signi\fcance testing for 2\u0002*2 tables<\/td><td class=\"column-3\"><a href=\"\/?post_type=course_page&amp;p=125417\">Watch Online<\/a><\/td>\n<\/tr>\n<tr class=\"row-23 odd\">\n\t<td class=\"column-1\">Lecture 12<\/td><td class=\"column-2\">Lecture 12: Introduction to logistic regression<\/td><td class=\"column-3\"><a href=\"\/?post_type=course_page&amp;p=125422\">Watch Online<\/a><\/td>\n<\/tr>\n<tr class=\"row-24 even\">\n\t<td class=\"column-1\"><\/td><td class=\"column-2\">Lab 12 \u540c\u5b78\u5831\u544a: \u77f3\u6615\u79c0\u3001\u674e\u6771\u6069\u3001\u4faf\u6631\u5fb7\u3001\u5289\u5b78\u6c5d\u3001\u674e\u4fca\u660c\u3001\u65b9\u601d\u5a77\u540c\u5b78<\/td><td class=\"column-3\"><a href=\"\/?post_type=course_page&amp;p=125427\">Watch Online<\/a><\/td>\n<\/tr>\n<tr class=\"row-25 odd\">\n\t<td class=\"column-1\">Lecture 13<\/td><td class=\"column-2\">Lecture 13-1: Logistic regression for contingency tables<\/td><td class=\"column-3\"><a href=\"\/?post_type=course_page&amp;p=125432\">Watch Online<\/a><\/td>\n<\/tr>\n<tr class=\"row-26 even\">\n\t<td class=\"column-1\"><\/td><td class=\"column-2\">Lecture 13-2: Goodness-of-\ft for logistic regression<\/td><td class=\"column-3\"><a href=\"\/?post_type=course_page&amp;p=125437\">Watch Online<\/a><\/td>\n<\/tr>\n<tr class=\"row-27 odd\">\n\t<td class=\"column-1\"><\/td><td class=\"column-2\">Lab 13 \u540c\u5b78\u5831\u544a: \u984f\u5929\u4fdd\u3001\u5289\u53c8\u9f4a\u3001\u85cd\u7389\u670b\u3001\u66fe\u90c1\u7fd4\u3001\u5510\u5fc3\u8aa0\u3001\u6797\u5fd7\u8c6a\u540c\u5b78<\/td><td class=\"column-3\"><a href=\"\/?post_type=course_page&amp;p=125442\">Watch Online<\/a><\/td>\n<\/tr>\n<tr class=\"row-28 even\">\n\t<td class=\"column-1\">Lecture 14<\/td><td class=\"column-2\">Lecture 14: Logistic regression for case-control data and conditional logistic regression<\/td><td class=\"column-3\"><a href=\"\/?post_type=course_page&amp;p=125447\">Watch Online<\/a><\/td>\n<\/tr>\n<tr class=\"row-29 odd\">\n\t<td class=\"column-1\"><\/td><td class=\"column-2\">Lab 14 \u540c\u5b78\u5831\u544a: \u4f55\u6770\u7ff0\u3001\u6881\u601d\u5a55\u3001\u5f35\u767b\u51f1\u3001\u5468\u5bb6\u745c\u3001\u9ec3\u90c1\u8c6a\u540c\u5b78<\/td><td class=\"column-3\"><a href=\"\/?post_type=course_page&amp;p=125452\">Watch Online<\/a><\/td>\n<\/tr>\n<tr class=\"row-30 even\">\n\t<td class=\"column-1\">Lecture 15<\/td><td class=\"column-2\">Lecture 15: Analysis of polytomous data<\/td><td class=\"column-3\"><a href=\"\/?post_type=course_page&amp;p=125458\">Watch Online<\/a><\/td>\n<\/tr>\n<tr class=\"row-31 odd\">\n\t<td class=\"column-1\"><\/td><td class=\"column-2\">Lab 15 \u540c\u5b78\u5831\u544a: \u8b1d\u5ff5\u5ef7 \u9673\u67cf\u9b41 \u8a31\u51f1\u748b \u5e2d\u744b\u8fb0 \u9676\u51a0\u862d \u5289\u51a0\u59a4\u540c\u5b78<\/td><td class=\"column-3\"><a href=\"\/?post_type=course_page&amp;p=125532\">Watch Online<\/a><\/td>\n<\/tr>\n<tr class=\"row-32 even\">\n\t<td class=\"column-1\">Lecture 16<\/td><td class=\"column-2\">Lecture 16: Poisson regression and log-linear model<\/td><td class=\"column-3\"><a href=\"\/?post_type=course_page&amp;p=125537\">Watch Online<\/a><\/td>\n<\/tr>\n<tr class=\"row-33 odd\">\n\t<td class=\"column-1\"><\/td><td class=\"column-2\">Lab 16 \u540c\u5b78\u5831\u544a: \u674e\u6770\u3001\u6797\u7d93\u6ff0\u3001\u9673\u73ee\u6587\u3001\u9673\u5955\u826f\u3001\u5f6d\u6069\u69ae\u3001\u674e\u9a4a\u540c\u5b78<\/td><td class=\"column-3\"><a href=\"\/?post_type=course_page&amp;p=125542\">Watch Online<\/a><\/td>\n<\/tr>\n<tr class=\"row-34 even\">\n\t<td class=\"column-1\">Lecture 17<\/td><td class=\"column-2\">Lecture 17: Generalized linear models<\/td><td class=\"column-3\"><a href=\"\/?post_type=course_page&amp;p=125547\">Watch Online<\/a><\/td>\n<\/tr>\n<tr class=\"row-35 odd\">\n\t<td class=\"column-1\"><\/td><td class=\"column-2\">Lab 17 \u540c\u5b78\u5831\u544a: \u77f3\u6615\u79c0\u3001\u674e\u6771\u6069\u3001\u4faf\u6631\u5fb7\u3001\u5289\u5b78\u6c5d\u3001\u674e\u4fca\u660c\u3001\u65b9\u601d\u5a77\u540c\u5b78<\/td><td class=\"column-3\"><a href=\"\/?post_type=course_page&amp;p=125552\">Watch Online<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<!-- #tablepress-574 from cache --><\/p>\t\t\t\t                            <\/div>\n\t\t        \n                    <div id=\"syllabus-tab\" class=\"clearfix eael-tab-content-item inactive\" data-title-link=\"syllabus-tab\">\n\t\t\t\t        \t\t\t\t\t        <p class=\"title\"><strong>Course Objectives<\/strong><\/p><p class=\"text\">The goals of this course are to introduce regression analysis for continuous and discrete data. Topics include simple and multiple linear regressions, inferences for regression coefficients, confounding and interaction, regression diagnostics, logistic regressions, Poisson regressions, and generalized linear models.<\/p><p>The course consists of lectures and laboratory sessions. The lectures are given on Tuesday 9:00-11:00. The lectures will primarily review and reinforce major issues. There is a laboratory session on Tuesday 11:10-12:00. The laboratory exercise will be distributed prior to each class, and students are expected to read each lab exercise at home. Each student will be assigned to a lab group and discuss the exercise with group members in the lab. At the end of the lab, there will be a seminar-type discussion. Each group is required to hand in a write-up of laboratory problems.<\/p><p>The course uses the R software for statistical computing. Students are expected to be familiar with the usage of the software.<\/p><p>\u00a0<\/p><p class=\"title\"><strong>Course Chapter<\/strong><\/p><table border=\"1\" cellspacing=\"0\"><tbody><tr class=\"stitle\"><td bgcolor=\"#e4d8b0\"><strong> \u55ae\u5143\u4e3b\u984c<\/strong><\/td><td bgcolor=\"#e4d8b0\"><strong> \u5167\u5bb9\u7db1\u8981<\/strong><\/td><\/tr><tr><td style=\"padding: 5px;\"><span class=\"text\">A review of basic statistical concepts<\/span><\/td><td style=\"padding: 5px;\"><span class=\"text\">ILRA APPENDIX C.1, and an introductory statistics book<\/span><\/td><\/tr><tr><td style=\"padding: 5px;\" bgcolor=\"#f2f2ec\"><span class=\"text\">Measures of association with emphasis on the difference of means\u3000<\/span><\/td><td style=\"padding: 5px;\" bgcolor=\"#f2f2ec\">\u00a0<\/td><\/tr><tr><td style=\"padding: 5px;\"><span class=\"text\">Basics of linear regression analysis\u3000<\/span><\/td><td style=\"padding: 5px;\"><span class=\"text\">ILRA 2.1, 2.2, 2.3 except 2.3.3, 2.4, 2.11<\/span><\/td><\/tr><tr><td style=\"padding: 5px;\" bgcolor=\"#f2f2ec\"><span class=\"text\">Correlation\u3000<\/span><\/td><td style=\"padding: 5px;\" bgcolor=\"#f2f2ec\"><span class=\"text\"> ILRA 2.6, 2.12.2<\/span><\/td><\/tr><tr><td style=\"padding: 5px;\"><span class=\"text\">Analysis of variance (ANOVA) table and prediction of y\u3000<\/span><\/td><td style=\"padding: 5px;\"><span class=\"text\">ILRA 2.3.3, 2.5<\/span><\/td><\/tr><tr><td style=\"padding: 5px;\" bgcolor=\"#f2f2ec\"><span class=\"text\">Basics of multiple linear regression\u3000<\/span><\/td><td style=\"padding: 5px;\" bgcolor=\"#f2f2ec\"><span class=\"text\">ILRA 3.1, 3.2<\/span><\/td><\/tr><tr><td style=\"padding: 5px;\"><span class=\"text\">Hypothesis testing in multiple regression<\/span><\/td><td style=\"padding: 5px;\"><span class=\"text\"> ILRA 3.3<\/span><\/td><\/tr><tr><td style=\"padding: 5px;\" bgcolor=\"#f2f2ec\"><span class=\"text\">Polynomial terms and dummy variables<\/span><\/td><td style=\"padding: 5px;\" bgcolor=\"#f2f2ec\"><span class=\"text\">ILRA 3.10, 7.1, 7.2.1, 7.2.2, 8.1, 8.2<\/span><\/td><\/tr><tr><td style=\"padding: 5px;\"><span class=\"text\">Interaction and confounding\u3000<\/span><\/td><td style=\"padding: 5px;\">\u00a0<\/td><\/tr><tr><td style=\"padding: 5px;\" bgcolor=\"#f2f2ec\"><span class=\"text\">Regression diagnosis<\/span><\/td><td style=\"padding: 5px;\" bgcolor=\"#f2f2ec\"><span class=\"text\">ILRA 4.1, 4.2, 4.4, 5.1, 5.2, 5.3, 5.4, 5.5, 6.1, 6.2, 6.3<\/span><\/td><\/tr><tr><td style=\"padding: 5px;\"><span class=\"text\">Variable selection and model building<\/span><\/td><td style=\"padding: 5px;\"><span class=\"text\">ILRA Chapter 10<\/span><\/td><\/tr><tr><td style=\"padding: 5px;\" bgcolor=\"#f2f2ec\"><span class=\"text\">Relative risk, odds ratio and significance testing for 2x2 tables\u3000<\/span><\/td><td style=\"padding: 5px;\" bgcolor=\"#f2f2ec\"><span class=\"text\">ILRA 13.2.1, 13.2.2, 13.2.3, 13.2.4<\/span><\/td><\/tr><tr><td style=\"padding: 5px;\"><span class=\"text\">Introduction to logistic regression\u3000<\/span><\/td><td style=\"padding: 5px;\">\u00a0<\/td><\/tr><tr><td style=\"padding: 5px;\" bgcolor=\"#f2f2ec\"><span class=\"text\">Logistic regression for contingency tables<\/span><\/td><td style=\"padding: 5px;\" bgcolor=\"#f2f2ec\">\u00a0<\/td><\/tr><tr><td style=\"padding: 5px;\"><span class=\"text\">Goodness-of-t for logistic regression<\/span><\/td><td style=\"padding: 5px;\"><span class=\"text\">ILRA 13.2.4, 13.2.5<\/span><\/td><\/tr><tr><td style=\"padding: 5px;\" bgcolor=\"#f2f2ec\"><span class=\"text\">Logistic regression of case-control data and conditional logistic regression<\/span><\/td><td style=\"padding: 5px;\" bgcolor=\"#f2f2ec\">\u00a0<\/td><\/tr><tr><td style=\"padding: 5px;\"><span class=\"text\">Analysis of polytomous data<\/span><\/td><td style=\"padding: 5px;\"><span class=\"text\">ILRA 13.2.7<\/span><\/td><\/tr><tr><td style=\"padding: 5px;\" bgcolor=\"#f2f2ec\"><span class=\"text\">Generalized linear models<\/span><\/td><td style=\"padding: 5px;\" bgcolor=\"#f2f2ec\"><span class=\"text\"> ILRA 13.4<\/span><\/td><\/tr><tr><td style=\"padding: 5px;\"><span class=\"text\">Poisson regression\u3000<\/span><\/td><td style=\"padding: 5px;\"><span class=\"text\"> ILRA 13.3<\/span><\/td><\/tr><\/tbody><\/table><p>\u00a0<\/p><p class=\"title\"><strong>Course Book List<\/strong><\/p><p class=\"text\">Handouts corresponding to each lecture will be available on the course website before each class.<br \/>The required textbooks for this course are \uff1a Montgomery, D.C., Peck, E.A., Vining, G.G. (2012). Introduction to Linear Regression Analysis (5th Edition). Wiley. (ILRA)<\/p>\t\t\t\t                            <\/div>\n\t\t        \n                    <div id=\"calendar-tab\" class=\"clearfix eael-tab-content-item inactive\" data-title-link=\"calendar-tab\">\n\t\t\t\t        \t\t\t\t\t        <p>\u00a0<\/p><p>\u672c\u8ab2\u7a0b\u884c\u4e8b\u66c6\u63d0\u4f9b\u8ab2\u7a0b\u9032\u5ea6\u8207\u8003\u8a66\u8cc7\u8a0a\u3002<\/p><table border=\"1\" cellspacing=\"0\"><tbody><tr class=\"stitle\"><td bgcolor=\"#e4d8b0\"><strong><br \/>\u55ae\u5143<\/strong><\/td><td bgcolor=\"#e4d8b0\"><strong> \u55ae\u5143\u4e3b\u984c<\/strong><\/td><td bgcolor=\"#e4d8b0\"><strong> \u95b1\u8b80\u8cc7\u6599<\/strong><\/td><\/tr><tr><td style=\"padding: 5px;\"><span class=\"text\">1<\/span><\/td><td style=\"padding: 5px;\"><span class=\"text\"> A review of basic statistical concepts<\/span><\/td><td style=\"padding: 5px;\"><span class=\"text\">ILRA APPENDIX C.1, and an introductory statistics book<\/span><\/td><\/tr><tr><td style=\"padding: 5px;\" bgcolor=\"#f2f2ec\"><span style=\"font-family: Liberation Serif, serif;\"><span style=\"font-size: medium;\"><span lang=\"en-US\">2<\/span><\/span><\/span><\/td><td style=\"padding: 5px;\" bgcolor=\"#f2f2ec\"><span style=\"font-family: Liberation Serif, serif;\"><span style=\"font-size: medium;\"><span lang=\"en-US\">Measures of association with emphasis on the difference of means<\/span><\/span><\/span><\/td><td style=\"padding: 5px;\" bgcolor=\"#f2f2ec\">\u00a0<\/td><\/tr><tr><td style=\"padding: 5px;\"><span class=\"text\">3<\/span><\/td><td style=\"padding: 5px;\"><span class=\"text\">Basics of linear regression analysis<\/span><\/td><td style=\"padding: 5px;\"><span class=\"text\">ILRA 2.1, 2.2, 2.3 except 2.3.3, 2.4, 2.11<\/span><\/td><\/tr><tr><td style=\"padding: 5px;\" bgcolor=\"#f2f2ec\"><span style=\"font-family: Liberation Serif, serif;\"><span style=\"font-size: medium;\"><span lang=\"en-US\">4<\/span><\/span><\/span><\/td><td style=\"padding: 5px;\" bgcolor=\"#f2f2ec\"><span style=\"font-family: Liberation Serif, serif;\"><span style=\"font-size: medium;\"><span lang=\"en-US\">Correlation<\/span><\/span><\/span><\/td><td style=\"padding: 5px;\" bgcolor=\"#f2f2ec\"><span style=\"font-family: Liberation Serif, serif;\"><span style=\"font-size: medium;\"><span lang=\"en-US\">ILRA 2.6, 2.12.2<\/span><\/span><\/span><\/td><\/tr><tr><td style=\"padding: 5px;\"><span class=\"text\">5<\/span><\/td><td style=\"padding: 5px;\"><span class=\"text\">Analysis of variance (ANOVA) table and prediction of y<\/span><\/td><td style=\"padding: 5px;\"><span class=\"text\">ILRA 2.3.3, 2.5<\/span><\/td><\/tr><tr><td style=\"padding: 5px;\" bgcolor=\"#f2f2ec\"><span style=\"font-family: Liberation Serif, serif;\"><span style=\"font-size: medium;\"><span lang=\"en-US\">6<\/span><\/span><\/span><\/td><td style=\"padding: 5px;\" bgcolor=\"#f2f2ec\"><span style=\"font-family: Liberation Serif, serif;\"><span style=\"font-size: medium;\"><span lang=\"en-US\">Basics of multiple linear regression<\/span><\/span><\/span><\/td><td style=\"padding: 5px;\" bgcolor=\"#f2f2ec\"><span style=\"font-family: Liberation Serif, serif;\"><span style=\"font-size: medium;\"><span lang=\"en-US\">ILRA 3.1, 3.2<\/span><\/span><\/span><\/td><\/tr><tr><td style=\"padding: 5px;\"><span class=\"text\">7<\/span><\/td><td style=\"padding: 5px;\"><span class=\"text\">Hypothesis testing in multiple regression<\/span><\/td><td style=\"padding: 5px;\"><span class=\"text\">ILRA 3.3<\/span><\/td><\/tr><tr><td style=\"padding: 5px;\" bgcolor=\"#f2f2ec\"><span style=\"font-family: Liberation Serif, serif;\"><span style=\"font-size: medium;\"><span lang=\"en-US\">8<\/span><\/span><\/span><\/td><td style=\"padding: 5px;\" bgcolor=\"#f2f2ec\"><span style=\"font-family: Liberation Serif, serif;\"><span style=\"font-size: medium;\"><span lang=\"en-US\">Polynomial terms and dummy variables<\/span><\/span><\/span><\/td><td style=\"padding: 5px;\" bgcolor=\"#f2f2ec\"><span style=\"font-family: Liberation Serif, serif;\"><span style=\"font-size: medium;\"><span lang=\"en-US\">ILRA 3.10, 7.1, 7.2.1, 7.2.2, 8.1, 8.2<\/span><\/span><\/span><\/td><\/tr><tr><td style=\"padding: 5px;\"><span class=\"text\">9<\/span><\/td><td style=\"padding: 5px;\"><span class=\"text\">Interaction and confounding\u3000<\/span><\/td><td style=\"padding: 5px;\">\u00a0<\/td><\/tr><tr><td style=\"padding: 5px;\" bgcolor=\"#f2f2ec\"><span style=\"font-family: Liberation Serif, serif;\"><span style=\"font-size: medium;\"><span lang=\"en-US\">10<\/span><\/span><\/span><\/td><td style=\"padding: 5px;\" bgcolor=\"#f2f2ec\"><span style=\"font-family: Liberation Serif, serif;\"><span style=\"font-size: medium;\"><span lang=\"en-US\">Regression diagnosis<\/span><\/span><\/span><\/td><td style=\"padding: 5px;\" bgcolor=\"#f2f2ec\"><span style=\"font-family: Liberation Serif, serif;\"><span style=\"font-size: medium;\"><span lang=\"en-US\">ILRA 4.1, 4.2, 4.4, 5.1, 5.2, 5.3, 5.4, 5.5, 6.1, 6.2, 6.3<\/span><\/span><\/span><\/td><\/tr><tr><td style=\"padding: 5px;\"><span class=\"text\">11<\/span><\/td><td style=\"padding: 5px;\"><span class=\"text\">Variable selection and model building<\/span><\/td><td style=\"padding: 5px;\"><span class=\"text\">ILRA Chapter 10<\/span><\/td><\/tr><tr><td style=\"padding: 5px;\" bgcolor=\"#f2f2ec\"><span style=\"font-family: Liberation Serif, serif;\"><span style=\"font-size: medium;\"><span lang=\"en-US\">12<\/span><\/span><\/span><\/td><td style=\"padding: 5px;\" bgcolor=\"#f2f2ec\"><span style=\"font-family: Liberation Serif, serif;\"><span style=\"font-size: medium;\"><span lang=\"en-US\">Relative risk, odds ratio and significance testing for 2x2 tables<\/span><\/span><\/span><\/td><td style=\"padding: 5px;\" bgcolor=\"#f2f2ec\"><span style=\"font-family: Liberation Serif, serif;\"><span style=\"font-size: medium;\"><span lang=\"en-US\">ILRA 13.2.1, 13.2.2, 13.2.3, 13.2.4<\/span><\/span><\/span><\/td><\/tr><tr><td style=\"padding: 5px;\"><span class=\"text\">13<\/span><\/td><td style=\"padding: 5px;\"><span class=\"text\">Introduction to logistic regression<\/span><\/td><td style=\"padding: 5px;\">\u00a0<\/td><\/tr><tr><td style=\"padding: 5px;\" bgcolor=\"#f2f2ec\"><span style=\"font-family: Liberation Serif, serif;\"><span style=\"font-size: medium;\"><span lang=\"en-US\">14<\/span><\/span><\/span><\/td><td style=\"padding: 5px;\" bgcolor=\"#f2f2ec\"><span style=\"font-family: Liberation Serif, serif;\"><span style=\"font-size: medium;\"><span lang=\"en-US\">Logistic regression for contingency tables<\/span><\/span><\/span><\/td><td style=\"padding: 5px;\" bgcolor=\"#f2f2ec\">\u00a0<\/td><\/tr><tr><td style=\"padding: 5px;\"><span class=\"text\">15<\/span><\/td><td style=\"padding: 5px;\"><span class=\"text\">Goodness-of-t for logistic regression<\/span><\/td><td style=\"padding: 5px;\"><span class=\"text\">ILRA 13.2.4, 13.2.5<\/span><\/td><\/tr><tr><td style=\"padding: 5px;\" bgcolor=\"#f2f2ec\"><span style=\"font-family: Liberation Serif, serif;\"><span style=\"font-size: medium;\"><span lang=\"en-US\">16<\/span><\/span><\/span><\/td><td style=\"padding: 5px;\" bgcolor=\"#f2f2ec\"><span style=\"font-family: Liberation Serif, serif;\"><span style=\"font-size: medium;\"><span lang=\"en-US\">Logistic regression of case-control data and conditional logistic regression<\/span><\/span><\/span><\/td><td style=\"padding: 5px;\" bgcolor=\"#f2f2ec\">\u00a0<\/td><\/tr><tr><td style=\"padding: 5px;\"><span class=\"text\">17<\/span><\/td><td style=\"padding: 5px;\"><span class=\"text\">Analysis of polytomous data<\/span><\/td><td style=\"padding: 5px;\"><span class=\"text\">ILRA 13.2.7<\/span><\/td><\/tr><tr><td style=\"padding: 5px;\" bgcolor=\"#f2f2ec\"><span style=\"font-family: Liberation Serif, serif;\"><span style=\"font-size: medium;\"><span lang=\"en-US\">18<\/span><\/span><\/span><\/td><td style=\"padding: 5px;\" bgcolor=\"#f2f2ec\"><span style=\"font-family: Liberation Serif, serif;\"><span style=\"font-size: medium;\"><span lang=\"en-US\">Generalized linear models<\/span><\/span><\/span><\/td><td style=\"padding: 5px;\" bgcolor=\"#f2f2ec\"><span style=\"font-family: Liberation Serif, serif;\"><span style=\"font-size: medium;\"><span lang=\"en-US\">ILRA 13.4<\/span><\/span><\/span><\/td><\/tr><tr><td style=\"padding: 5px;\"><span class=\"text\">19<\/span><\/td><td style=\"padding: 5px;\"><span class=\"text\">Poisson regression<\/span><\/td><td style=\"padding: 5px;\"><span class=\"text\">ILRA 13.3<\/span><\/td><\/tr><\/tbody><\/table>\t\t\t\t                            <\/div>\n\t\t                    <\/div>\n        <\/div>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d7723a8 elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"d7723a8\" data-element_type=\"widget\" data-widget_type=\"divider.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! 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class=\"elementor-item\" tabindex=\"-1\">College of Engineering Bioscience<\/a><\/li>\n<li class=\"menu-item menu-item-type-post_type menu-item-object-course_page ajax-mega-menu menu-item-5379\"><a href=\"https:\/\/ocw.nycu.edu.tw\/?course_page=all-course-2\/college-of-humanities-and-social-sciences\" class=\"elementor-item\" tabindex=\"-1\">College of Humanities Arts and Social Sciences<\/a><\/li>\n<li class=\"menu-item menu-item-type-post_type menu-item-object-course_page ajax-mega-menu menu-item-5378\"><a href=\"https:\/\/ocw.nycu.edu.tw\/?course_page=all-course-2\/college-of-hakka-affair-culture\" class=\"elementor-item\" tabindex=\"-1\">College of Hakka Affair Culture<\/a><\/li>\n<li class=\"menu-item menu-item-type-post_type menu-item-object-course_page ajax-mega-menu menu-item-118070\"><a href=\"https:\/\/ocw.nycu.edu.tw\/?course_page=all-course-2\/school-of-law\" class=\"elementor-item\" tabindex=\"-1\">School of Law<\/a><\/li>\n<li class=\"menu-item menu-item-type-post_type menu-item-object-course_page ajax-mega-menu menu-item-118069\"><a href=\"https:\/\/ocw.nycu.edu.tw\/?course_page=all-course-2\/school-of-nursing-2\" class=\"elementor-item\" tabindex=\"-1\">School of Nursing<\/a><\/li>\n<li class=\"menu-item menu-item-type-post_type menu-item-object-course_page ajax-mega-menu menu-item-118071\"><a href=\"https:\/\/ocw.nycu.edu.tw\/?course_page=all-course-2\/college-of-photonics\" class=\"elementor-item\" tabindex=\"-1\">College of Photonics<\/a><\/li>\n<li class=\"menu-item menu-item-type-post_type menu-item-object-course_page ajax-mega-menu menu-item-125874\"><a href=\"https:\/\/ocw.nycu.edu.tw\/?course_page=all-course-2\/college-of-biomedical-science-and-engineering\" class=\"elementor-item\" tabindex=\"-1\">College of Biomedical Science and Engineering<\/a><\/li>\n<li class=\"menu-item menu-item-type-post_type menu-item-object-course_page ajax-mega-menu menu-item-132738\"><a href=\"https:\/\/ocw.nycu.edu.tw\/?course_page=all-course-2\/college-of-life-sciences-en\" class=\"elementor-item\" tabindex=\"-1\">College of Life Sciences<\/a><\/li>\n<li class=\"menu-item menu-item-type-post_type menu-item-object-course_page ajax-mega-menu menu-item-141797\"><a href=\"https:\/\/ocw.nycu.edu.tw\/?course_page=all-course-2\/colege-of-medicine-en\" class=\"elementor-item\" tabindex=\"-1\">College of Medicine<\/a><\/li>\n<li class=\"menu-item menu-item-type-post_type menu-item-object-course_page ajax-mega-menu menu-item-118072\"><a href=\"https:\/\/ocw.nycu.edu.tw\/?course_page=all-course-2\/course-of-chinese-center\" class=\"elementor-item\" tabindex=\"-1\">Course of Chinese Center<\/a><\/li>\n<li class=\"menu-item menu-item-type-post_type menu-item-object-course_page ajax-mega-menu menu-item-120431\"><a href=\"https:\/\/ocw.nycu.edu.tw\/?course_page=all-course-2\/liberal-arts-college\" class=\"elementor-item\" tabindex=\"-1\">Forum Of Liberal Arts<\/a><\/li>\n<li class=\"menu-item menu-item-type-post_type menu-item-object-course_page ajax-mega-menu menu-item-123746\"><a href=\"https:\/\/ocw.nycu.edu.tw\/?course_page=all-course-2\/speech-of-general-education-center\" class=\"elementor-item\" tabindex=\"-1\">Contemporary Civilization<\/a><\/li>\n<li class=\"menu-item menu-item-type-post_type menu-item-object-course_page ajax-mega-menu menu-item-128240\"><a href=\"https:\/\/ocw.nycu.edu.tw\/?course_page=all-course-2\/reading-of-classic-masterpiece\" class=\"elementor-item\" tabindex=\"-1\">Reading of Classic Masterpiece<\/a><\/li>\n<li class=\"menu-item menu-item-type-post_type menu-item-object-course_page ajax-mega-menu menu-item-123745\"><a href=\"https:\/\/ocw.nycu.edu.tw\/?course_page=all-course-2\/course-of-general-education-center-2\" class=\"elementor-item\" tabindex=\"-1\">Course of General Education Center<\/a><\/li>\n<\/ul>\t\t\t<\/nav>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Regression Ana&hellip;<\/p>\n","protected":false},"featured_media":125757,"parent":125013,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","format":"standard","meta":{"footnotes":""},"categories":[250],"tags":[341,345,10163],"class_list":["post-125080","course_page","type-course_page","status-publish","format-standard","has-post-thumbnail","hentry","category-institute-of-statistics-en","tag-label-all-course-en","tag-label-college-of-science-en","tag-label-institute-of-statistics-en"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v20.8 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Regression Analysis -104 Academic Year | Institute of Statistics Prof. Guan-Hua Huang - NYCU OCW<\/title>\n<meta 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