教學大綱表 (102學年度 第1學期)
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課程名稱
Course Title		 (中文) 迴歸分析(一)
(英文) Regression Analysis 		開課單位
Departments		 應用數學系
課程代碼
Course No.		 A3831
授課教師
Instructor		 張建瑋
學分數
Credit		 3.0 必/選修
core required/optional		 選修 開課年級
Level		 大四
先修科目或先備能力(Course Pre-requisites)：Those who have passed an introductory course in statistical inferences covered in A3820(Statistics)
課程概述與目標(Course Overview and Goals)：In this semester the simple linear regression will be presented. Use of existing statistical computer programs for performing computations and preparing graphic plots.
Review Some Topics in Interval Estimation and Testing of Statistical Hypotheses , Linear Regression with One Predictor Variable , Inferences in Regression and Correlation Analysis , Diagnostics and Remedial Measures , Simultaneous Inferences and Other Topics in Regression Analysis .
教科書(Textbook) Kutner, Nachtsheim, and Neter (2004) Applied Linear Regression Models, 4th ed., Mc Graw Hill(華泰代理)
參考教材(Reference) Montgomery, Peck, and Vining (2006) Introduction to Regression Analysis, Wiley(歐亞代理)
課程大綱 Syllabus 學生學習目標
Learning Objectives		 單元學習活動
Learning Activities		 學習成效評量
Evaluation		 備註
Notes
序
No.		 單元主題
Unit topic		 內容綱要
Content summary
1 Linear Regression with One Predictor Variable 1.Regression Models and Their Uses
2.Simple Linear Regression Model with Distribution of Error Terms Unspecified
3.Estimation of Regression Function
4.Estimation of Error Terms Variance
5.Normal Error Regression Model 		1.Regression Models and Their Uses
2.Simple Linear Regression Model with Distribution of Error Terms Unspecified
3.Estimation of Regression Function
4.Estimation of Error Terms Variance
5.Normal Error Regression Model		  
2 Linear Regression with One Predictor Variable 1.Regression Models and Their Uses
2.Simple Linear Regression Model with Distribution of Error Terms Unspecified
3.Estimation of Regression Function
4.Estimation of Error Terms Variance
5.Normal Error Regression Model 		1.Regression Models and Their Uses
2.Simple Linear Regression Model with Distribution of Error Terms Unspecified
3.Estimation of Regression Function
4.Estimation of Error Terms Variance
5.Normal Error Regression Model		  
3 Linear Regression with One Predictor Variable 1.Regression Models and Their Uses
2.Simple Linear Regression Model with Distribution of Error Terms Unspecified
3.Estimation of Regression Function
4.Estimation of Error Terms Variance
5.Normal Error Regression Model 		1.Regression Models and Their Uses
2.Simple Linear Regression Model with Distribution of Error Terms Unspecified
3.Estimation of Regression Function
4.Estimation of Error Terms Variance
5.Normal Error Regression Model		  
4 Linear Regression with One Predictor Variable 1.Regression Models and Their Uses
2.Simple Linear Regression Model with Distribution of Error Terms Unspecified
3.Estimation of Regression Function
4.Estimation of Error Terms Variance
5.Normal Error Regression Model 		1.Regression Models and Their Uses
2.Simple Linear Regression Model with Distribution of Error Terms Unspecified
3.Estimation of Regression Function
4.Estimation of Error Terms Variance
5.Normal Error Regression Model		  
5 Inferences in Regression and Correlation Analysis 1.Inferences Concerning beta 1
2.Inferences Concerning beta 2
3.Interval Estimation of E[Y(n)]
4.Prediction of New Observation
5.ANOVA
6.Gerneral Linear Test Approach 		1.Inferences Concerning beta 1
2.Inferences Concerning beta 2
3.Interval Estimation of E[Y(n)]
4.Prediction of New Observation
5.ANOVA
6.Gerneral Linear Test Approach		  
6 Inferences in Regression and Correlation Analysis 1.Inferences Concerning beta 1
2.Inferences Concerning beta 2
3.Interval Estimation of E[Y(n)]
4.Prediction of New Observation
5.ANOVA
6.Gerneral Linear Test Approach 		1.Inferences Concerning beta 1
2.Inferences Concerning beta 2
3.Interval Estimation of E[Y(n)]
4.Prediction of New Observation
5.ANOVA
6.Gerneral Linear Test Approach		  
7 Inferences in Regression and Correlation Analysis 1.Inferences Concerning beta 1
2.Inferences Concerning beta 2
3.Interval Estimation of E[Y(n)]
4.Prediction of New Observation
5.ANOVA
6.Gerneral Linear Test Approach 		1.Inferences Concerning beta 1
2.Inferences Concerning beta 2
3.Interval Estimation of E[Y(n)]
4.Prediction of New Observation
5.ANOVA
6.Gerneral Linear Test Approach		  
8 Inferences in Regression and Correlation Analysis 1.Inferences Concerning beta 1
2.Inferences Concerning beta 2
3.Interval Estimation of E[Y(n)]
4.Prediction of New Observation
5.ANOVA
6.Gerneral Linear Test Approach 		1.Inferences Concerning beta 1
2.Inferences Concerning beta 2
3.Interval Estimation of E[Y(n)]
4.Prediction of New Observation
5.ANOVA
6.Gerneral Linear Test Approach		  
9 Midterm ch1~ch2 ch1~ch2  
10 Diagnostics and Remedial Measures 1.Diagnostics for Predictor Variable
2.Residuals
3.Diagnostics for Residuals
4.Overview of Tests Involving Residuals
5.F Test for Lack of Fit
6.Overview of Remedial Measures
7.Transformations 		1.Diagnostics for Predictor Variable
2.Residuals
3.Diagnostics for Residuals
4.Overview of Tests Involving Residuals
5.F Test for Lack of Fit
6.Overview of Remedial Measures
7.Transformations		  
11 Diagnostics and Remedial Measures 1.Diagnostics for Predictor Variable
2.Residuals
3.Diagnostics for Residuals
4.Overview of Tests Involving Residuals
5.F Test for Lack of Fit
6.Overview of Remedial Measures
7.Transformations 		1.Diagnostics for Predictor Variable
2.Residuals
3.Diagnostics for Residuals
4.Overview of Tests Involving Residuals
5.F Test for Lack of Fit
6.Overview of Remedial Measures
7.Transformations		  
12 Diagnostics and Remedial Measures 1.Diagnostics for Predictor Variable
2.Residuals
3.Diagnostics for Residuals
4.Overview of Tests Involving Residuals
5.F Test for Lack of Fit
6.Overview of Remedial Measures
7.Transformations 		1.Diagnostics for Predictor Variable
2.Residuals
3.Diagnostics for Residuals
4.Overview of Tests Involving Residuals
5.F Test for Lack of Fit
6.Overview of Remedial Measures
7.Transformations		  
13 Diagnostics and Remedial Measures 1.Diagnostics for Predictor Variable
2.Residuals
3.Diagnostics for Residuals
4.Overview of Tests Involving Residuals
5.F Test for Lack of Fit
6.Overview of Remedial Measures
7.Transformations 		1.Diagnostics for Predictor Variable
2.Residuals
3.Diagnostics for Residuals
4.Overview of Tests Involving Residuals
5.F Test for Lack of Fit
6.Overview of Remedial Measures
7.Transformations		  
14 Diagnostics and Remedial Measures 1.Diagnostics for Predictor Variable
2.Residuals
3.Diagnostics for Residuals
4.Overview of Tests Involving Residuals
5.F Test for Lack of Fit
6.Overview of Remedial Measures
7.Transformations 		1.Diagnostics for Predictor Variable
2.Residuals
3.Diagnostics for Residuals
4.Overview of Tests Involving Residuals
5.F Test for Lack of Fit
6.Overview of Remedial Measures
7.Transformations		  
15 Diagnostics and Remedial Measures 1.Diagnostics for Predictor Variable
2.Residuals
3.Diagnostics for Residuals
4.Overview of Tests Involving Residuals
5.F Test for Lack of Fit
6.Overview of Remedial Measures
7.Transformations 		1.Diagnostics for Predictor Variable
2.Residuals
3.Diagnostics for Residuals
4.Overview of Tests Involving Residuals
5.F Test for Lack of Fit
6.Overview of Remedial Measures
7.Transformations		  
16 Diagnostics and Remedial Measures 1.Diagnostics for Predictor Variable
2.Residuals
3.Diagnostics for Residuals
4.Overview of Tests Involving Residuals
5.F Test for Lack of Fit
6.Overview of Remedial Measures
7.Transformations 		1.Diagnostics for Predictor Variable
2.Residuals
3.Diagnostics for Residuals
4.Overview of Tests Involving Residuals
5.F Test for Lack of Fit
6.Overview of Remedial Measures
7.Transformations		  
17 Simultaneous Inferences and Other Topics in Regression Analysis 1.Joint Estimation of beta 0 and beta 1
2.Simultaneous Estimation of Mean Responses
3.Regression through Origin
4.Effects of Measurement Errors 		1.Joint Estimation of beta 0 and beta 1
2.Simultaneous Estimation of Mean Responses
3.Regression through Origin
4.Effects of Measurement Errors		  
18 Final ch3~ch4 ch3~ch4  


教學要點概述：
1.自編教材 Handout by Instructor：
□ 1-1.簡報 Slids
□ 1-2.影音教材 Videos
□ 1-3.教具 Teaching Aids
□ 1-4.教科書 Textbook
□ 1-5.其他 Other
□ 2.自編評量工具/量表 Educational Assessment
□ 3.教科書作者提供 Textbook

成績考核 Performance Evaluation： 期末考：30%   期中考：30%   平時考：40%  

教學資源(Teaching Resources)：
□ 教材電子檔(Soft Copy of the Handout or the Textbook)
□ 課程網站(Website)
課程網站(Website)：http://elearn.ttu.edu.tw/learn/index.php
扣考規定：https://curri.ttu.edu.tw/p/412-1033-1254.php