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Linear Regression

Khan Academy

Regression line example

Describing relationships in quantitative data

Statistics and probability

Math

Simple Linear Regression

y = b₀ + b₁ * x₁

y (Dependent variable [DV]) = b₀ (Constant) + b₁ (Coefficient) * x₁ (Independent variable [IV])

Salary = b₀ + b₁ * Experience

SUM (y_i – y_i^)² -> min

Multiple Linear Regression

y = b₀ + b₁ * x₁ + b₂ * x₂ + … + b_n * x_n

y (DV) = b₀ + b₁ * x₁ (IV) + b₂ * x₂ (IV) + … + b_n * x_n (IV)

Polynomial Regression

y = b₀ + b₁ * x₁ + b₂ * x₁² + … + b_n * x₁ⁿ

Linear Regression

Wikipedia
https://en.wikipedia.org/wiki/Linear_regression

https://onlinecourses.science.psu.edu/stat501/node/250

http://onlinestatbook.com/2/regression/intro.html

http://www.stat.yale.edu/Courses/1997-98/101/linreg.htm

https://www.udemy.com/data-science-linear-regression-in-python/

線形回帰

Wikipedia
https://ja.wikipedia.org/wiki/線形回帰

http://qiita.com/ynakayama/items/5732f0631c860d4b5d8b

http://blogs.teradata.com/international/ja/hhg9/

http://gihyo.jp/dev/serial/01/machine-learning/0008