Unit Outlines：
◆ Predictive Models
。Method and Parameters
。Model and Coefficients
。Specificity vs. Generality
◆ Simple Linear Regression
。Linear Regression in R
。Estimate Model Coefficients
。Drawing Regression Line
。Make Prediction
。Measures Model Accuracy
◆ Multiple Linear Regression
。Coefficients as Random Variables
。Collinearity
。Model Selection
。Difficulties in Multiple Regression
Unit Notebook：
◆ 09A Simple Linear Regression (unit09A.html)
◆ 09B Multiple Linear Regression (unit09B.html)
Google Drive：
◆ Course Material : [ ~/material/ ]
Unit09 Assignment： Due: 2021/12/26 (Sun.) 23:59
Personal Assignment:
Register to edX and sign in to MIT’s The Analytic Edges course with audit option
Finish Unit2-1 The Statistical Sommelier: An Introduction to Linear Regression
Do the quiz in a Rmd, knit the HTML and
upload it to 【 i.html/AnalEdge2 】with filename “<student.id>_AnalEdge2.html“
參考連結：
◆ John Hopkins: R Programming online course
◆ John Hopkins: R Programming eBook
◆ Harvard: Data Science ebook
◆ Week07c Video Recording