Linear regression models are widely used in different fields. In this course, we will introduce the underlying theory, the real data applications, and the common statistical packages that have been used for modern statisticians. Students, after taking this course, are expected to be able to build and validate the regression models with the standard techniques and apply to a real data analysis.Linear regression models are widely used in different fields. In this course, we will introduce the underlying theory, the real data applications, and the common statistical packages that have been used for modern statistics. Students, after taking this course, are expected to be able to build and validate the regression models with the standard techniques and apply to a real data analysis.
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 purpose of this course is to introduce the relevant methods and theories of reproductive analysis. In addition, how to use the learned method to do practical data analysis is also the focus of this course. The course mainly covers the following:
1. Simple and multiple recitation methods and theories
2. Verification mode suitability confirmation and diagnosis
3. The transformation of reaction variables
4. Analysis of regression and variations
5. Mode selection
6. Example analysis of using rehabilitation-related methods
1. Kutner, M.H., Nachtsheim, C., and Neter, J., Applied Linear Regression Models, 4th edition, McGraw-Hill Book Co
2. Montgomery D.C., Peck, E. A. and Vining, G. G., Introduction to Linear Regression Analysis, 5th edition, John Wiley & Sons, Inc.
1. Kutner, M.H., Nachtsheim, C., and Neter, J., Applied Linear Regression Models, 4th edition, McGraw-Hill Book Co
2. Montgomery D.C., Peck, E. A. and Vining, G. G., Introduction to Linear Regression Analysis, 5th edition, John Wiley & Sons, Inc.
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| Class AttendanceClass Attendance Class Attendance |
10 | |
| Midterm / ProjectsMidterm / Projects Midterm / Projects |
40 | |
| Final / PresentationsFinal / Presentations Final / Presentations |
50 |
