The course blends both theory and application so that
the students will gain an understanding of the basic principles
necessary to apply regression analysis techniques. The topics of this course
include (1) simple linear regression, inferences in regression and correlation analysis;
(2) model adequacy checking and remedial measures;
(3) multiple linear regression, model building and multicollinearity diagnostic;
(4) diagnostics for leverage and influence; (5) Lack-of-fit test (6) SAS coding.The course blends both theory and application so that
the students will gain an understanding of the basic principles
necessary to apply regression analysis techniques. The topics of this course
include (1) simple linear regression, inferences in regression and correlation analysis;
(2) model adequacy checking and remedial measures;
(3) multiple linear regression, model building and multicollinearity diagnostic;
(4) diagnostics for leverage and influence; (5) Lack-of-fit test (6) SAS coding.
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
The main goal of this course is to introduce the related methods and theories of regression analysis. In addition, how to use the regression methods learned to do actual data analysis is also the focus of this course. The course mainly covers the following:
1. Simple and multiple regression methods and theories
2. Regression model fitness test and diagnosis
3. Conversion of reaction variables
4. Regression and variation analysis
5.Mode selection
6. Example analysis using regression correlation method
Applied Linear Regression Models (Fourth Edition)
by Kutner, Nachtsheim and Neter.
applied linear regression models (fourth edition)
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| midtermmidterm midterm |
50 | |
| finalfinal final |
50 |
