106年第1學期-1750 迴歸分析 課程資訊

評分方式

評分項目	配分比例	說明
Quiz 1	15
Quiz 2	15
Midterm	30
Final	35
Homework	5

教育目標

Regression analysis is one of the most widely used techniques for analyzing multifactor data. This course contains an understanding of the basic principles and well-developed statistical theories necessary to apply regression model-building techniques in a wide variety of application environments. Today the computer plays a significant role in the modern application of data analysis. Therefore, we integrate many aspects of computer usage into the course for illustration. The course contains some topics including multiple linear regression, model adequacy checking, transformation and weighting to correct model inadequacies, diagnostics for leverage and influence, variable selection and model building.

課程概述

本課程主要目標在介紹迴歸分析之相關方法以及其理論。除此之外，如何利用所學迴歸方法來做實際資料分析亦是本課程之重點，課程主要涵蓋如下： 1.簡單以及多重迴歸之方法及理論 2.迴歸模式適合度檢定以及診斷 3.反應變數之轉換 4.迴歸與變異數分析 5.模式選取 6.利用迴歸相關方法之實例分析

基本資料

必修課，學分數：3-0
上課時間：四/8[M023] 一/5[M153] 四/6,7[M155]
修課班級：統計系2B
修課年級：年級以上
選課備註：人工加選,曾修習統計學下期

參考書目

Applied Linear Regression Models (Fourth Edition), by Kutner, Nachtsheim, and Neter