Regression

Regression

Simple Linear Regression

●　Y=α+βX+ε

Y=dependent or explained variable

X=independent or explanatory variable

α=intercept coefficient

β=slope coefficient

ε=error term

Multiple Linear Regression

●　Yi=α+β1X1i+β2X2i+…+βkXki+εi

Total Sum of Squares(https://www.daowen.com)

Total Sum of Squares= Explained Sum of Squares + Residual Sum of Squares

Measures of Fitness

ANOVA Table

F-test in restricted and unrestricted model

Cook's distance