Regression

Spring 2026

MandH

Course Info

  • Syllabus
  • Lectures: T. 1310-1500, R. 1610-1700 @ SE A211
  • Instructor: Yu-Ling Tseng.      Office Hours: T. 1200~1300  R. 1500~1600@SE A409
  • TA:   黃煜霖   TBA @ SE 408  ~  有問題要多多請教助教喔   
  • 數學小天地   ~~ 討 論 各類 數學相關問題 的好地方 ~~
  • Prerequisites: Probability Theory, Statistics, Linear Algebra 
  • YesKno時間   有點迷路時聽聽第一堂課的也許有幫助,請直接收聽第29集: https://play.kkbox.com/podcast/episode/9XiNiBkrgcwXNDx5MA





  • Data sets in txt form
    https://drive.google.com/drive/folders/1rcQeNvDQ2d8OzBcYPBy9ydeB874ss6p-?usp=sharing


    (date discussed in class)  Programs
    Description  Code with Output in HTML
    (20260224)  SetUp(1) SetUp(1)shows you how to:
    1. devide graphical windows (not necessary if using R studio where you use the left program with extension .r)
    2. assign variables/sequences
    3. plot and make titles for the graph
    4. generate normally distributed observations/make histograms
    5. do simple regressions and related plots  (you should see the effect of sample size and s.d.  on the fitted reg. lines)
    6. quit R
    SetUp1html


      You may find useful R programs  here:
                   
    Assignments (NO LATE HOMEWORK IS ALLOWED!)                                                                                                           
    Date
    Problems  『作 業成績10%由各組派一代表和 助教面 試講 解一題要用R程式回 答的問題;題目採先選先贏制,講過題目其他組不得再選擇喔
     
    助教office hour:TBA    時 間若不行請另行和助 教email約時間)
    Due date

    20260224 First day of class

    課本:Applied Linear Statistical Models, Applied Linear Regression Models, 5th ed, Kutner, Nachtsheim, Neter and Li, 2019, McGRAW-HILL International. 洽華泰書局 周益彰 先生(0910-275877)

    參考書目:
    1. Applied Regression Analysis, 2nd ed, Draper, N. R. and Smith, H., 1981, Wiley.
    2. Introduction to Linear Regression Analysis, 2nd ed, Montgomery, D. C. and Peck,     E., 1991, Wiley.

    Course Grade

    Homework (20%=10%+10%)  Midterm (30%)  Final (50%= 30%+20%)



    Computing                                                                                               

    1. R website (original, mirror @ NTU)  
    2.     R ClassRoom 
    3. Document Reader: Acrobat Reader

    Murray_0408

    Last modified: 20200908
    yltseng@mail.ndhu.edu.tw